AIOps platform Market

AIOps platform Market Size, Share, Growth Analysis, By Offering(Platform, Domain-Centric), By Services(Professional Services, Implementation Services), By Deployment Mode(On-Premises, Cloud), By Application(Infrastructure Mangement, Anomaly Detection and Root Cause Analysis), By Vertical(BFSI, Retail & eCommerce), By Region(North America, US) - Industry Forecast 2023-2030


Report ID: UCMIG45D2082 | Region: Global | Published Date: Upcoming |
Pages: 165 | Tables: 55 | Figures: 60

AIOps platform Market Insights

Market Overview:

At a predicted CAGR of 22.7% during the forecast period, the global market for AIOps Platform will increase from USD 11.7 billion in 2023 to USD 32.4 billion by 2028. Rising complexity and hybridization of IT environments, streamlining IT operations for digital transformation through AI and automation, and increasing demand for real-time monitoring, proactive incident response, and predictive analytics are the primary factors driving this market.

AIOps platform Market, Forecast & Y-O-Y Growth Rate, 2020 - 2028
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This report is being written to illustrate the market opportunity by region and by segments, indicating opportunity areas for the vendors to tap upon. To estimate the opportunity, it was very important to understand the current market scenario and the way it will grow in future.

Production and consumption patterns are being carefully compared to forecast the market. Other factors considered to forecast the market are the growth of the adjacent market, revenue growth of the key market vendors, scenario-based analysis, and market segment growth.

The market size was determined by estimating the market through a top-down and bottom-up approach, which was further validated with industry interviews. Considering the nature of the market we derived the Internet Services & Infrastructure by segment aggregation, the contribution of the Internet Services & Infrastructure in Software & Services and vendor share.

To determine the growth of the market factors such as drivers, trends, restraints, and opportunities were identified, and the impact of these factors was analyzed to determine the market growth. To understand the market growth in detail, we have analyzed the year-on-year growth of the market. Also, historic growth rates were compared to determine growth patterns.

Segmentation Analysis:

The AIOps platform Market is segmented by Offering, Services, Deployment Mode, Application, Vertical, Region. We are analyzing the market of these segments to identify which segment is the largest now and in the future, which segment has the highest growth rate, and the segment which offers the opportunity in the future.

AIOps platform Market Basis Point Share Analysis, 2021 Vs. 2028
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  • Based on Offering the market is segmented as, Platform, Domain-Centric, Monitoring-centric AIOps, ITSM centric-AIOps, Data-Lake centric-AIOps, Domain-Agnostic, Services
  • Based on Services the market is segmented as, Professional Services, Implementation Services, Licenses and Maintenance Services, Training & Education Services, Consulting Services, Managed Services, Managed Network Servicecs, Managed Cloud Services, Managed Security Services, Manged Automation Servcies
  • Based on Deployment Mode the market is segmented as, On-Premises, Cloud, Public Cloud, Private Cloud, Hybrid Cloud
  • Based on Application the market is segmented as, Infrastructure Mangement, Anomaly Detection and Root Cause Analysis, Automated Incident Management, Capacity Planning and Optimization, Performance Monitoring and Optimization, Server Monitoring and Management, Storage Monitoring and Management, Application Performance Monitoring, Network Monitoring, ITSM, Service Level Management, Configuration Management, Actionable Intelligence, IT Asset Management, Service Desk Automation (Chatbot), Security & Event Management, Security Incident and Event Management (SIEM), Threat Intelligence and Detection, Security Automation and Orchestration, Security Event Correlation, User and Entity Behavior Analytics, Vulnerability Management
  • Based on Vertical the market is segmented as, BFSI, Retail & eCommerce, Transportation and Logistics, Government & Defense, Healthcare & Life Sciences, Telecom, Energy & Utilities, Manufacturing, IT/ITeS, Media & Entertainment, Other Verticals
  • Based on Region the market is segmented as, North America, US, Canada, Europe, UK, Germany, France, Italy, Spain, Rest of Europe, Asia Pacific, China, India, South Korea, ANZ, Japan, ASEAN, Rest of Asia Pacific, Middle East & Africa, KSA, Israel, Egypt, UAE, South Africa, Rest of the Middle East & Africa, Latin America, Brazil, Mexico, Argentina, Rest of Latin America, KEY MARKET PLAYERS, IBM, Splunk, Broadcom, OpenText, Dynatrace, Cisco, HCL Technologies, Elastic, ServiceNow, HPE, Datadog, New Relic, SolarWinds, BMC Software, ScienceLogic, BigPanda, LogicMonitor, Sumo Logic, Moogsoft, Resolve Systems, AIMS Innovation, Interlink Software, CloudFabrix, PagerDuty, Aisera, ManageEngine, Digitate, ZIF.ai, Autointelli, UST, Freshworks, Everbridge, StackState

Regional Analysis:

AIOps platform Market is being analyzed by North America, Europe, Asia-Pacific (APAC), Latin America (LATAM), Middle East & Africa (MEA) regions. Key countries including the U.S., Canada, Germany, France, UK, Italy, Spain, China, India, Japan, Brazil, GCC Countries, and South Africa among others were analyzed considering various micro and macro trends.

AIOps platform Market Attractiveness Analysis, By Region 2020-2028
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AIOps platform Market : Risk Analysis

SkyQuest's expert analysts have conducted a risk analysis to understand the impact of external extremities on AIOps platform Market. We analyzed how geopolitical influence, natural disasters, climate change, legal scenario, economic impact, trade & economic policies, social & ethnic concerns, and demographic changes might affect AIOps platform Market's supply chain, distribution, and total revenue growth.

Competitive landscaping:

To understand the competitive landscape, we are analyzing key AIOps platform Market vendors in the market. To understand the competitive rivalry, we are comparing the revenue, expenses, resources, product portfolio, region coverage, market share, key initiatives, product launches, and any news related to the AIOps platform Market.

To validate our hypothesis and validate our findings on the market ecosystem, we are also conducting a detailed porter's five forces analysis. Competitive Rivalry, Supplier Power, Buyer Power, Threat of Substitution, and Threat of New Entry each force is analyzed by various parameters governing those forces.

Key Players Covered in the Report:

  • market for AIOps Platform is projected to grow from USD 11.7 billion in 2023 to USD 32.4 billion by 2028, at a CAGR of 22.7% during the forecast period. The rapid digital transformation in global business organizations has led to increasingly complex datasets, requiring significant time, cost, and effort for data processing. As IT operations are also undergoing this transformation, IT teams face the challenge of managing intricate datasets to sustain business operations. Additionally, the distributed architecture and dynamic nature of modern business applications and services have resulted in a considerable increase in data loads over recent years. To address the growing demand for IT agility, the AIOps platform has emerged as a solution for IT operations teams. This AI-powered platform combines human intelligence with automated algorithms, providing full visibility into IT system performance.
  • Technology Roadmap of AIOps Platform till 2030
  • The AIOps Paltform market report covers technology roadmap till 2030, with insights around short-term, mid-term, and long-term developments.
  • Short-term roadmap (2023-2025)
  • The focus is on improving the integration of diverse data sources into the AIOps platform.
  • The AIOps platform enables real-time analysis of streaming data to provide instantaneous insights and proactive monitoring.
  • Focus on improving the interpretability and explainability of AI models used in the AIOps platform.
  • The AIOps platform incorporates self-learning capabilities to adapt and improve over time.
  • Mid-term roadmap (2025-2028)
  • The AIOps platform expands its integration capabilities to include emerging data sources such as IoT devices and edge computing systems.
  • Strengthens capabilities for processing and analyzing high-velocity, real-time data streams.
  • Advanced techniques, such as rule-based approaches, causal AI, and counterfactual explanations, are explored to provide deeper insights into the reasoning behind AI-driven decisions.
  • Development of self-adaptive systems to dynamically adjust algorithms and models based on evolving IT landscapes.
  • Long-term roadmap (2028-2030)
  • Advanced techniques, such as data virtualization and federated learning, enable the platform to handle distributed data sources and perform real-time data fusion.
  • Development of advanced streaming analytics techniques that enable real-time decision-making and automated actions.
  • Ethical considerations, including bias mitigation, privacy preservation, and algorithmic transparency, are integrated into the design and implementation of the AIOps platform.
  • Developing intelligent systems capable of self-healing, self-optimizing, and self-configuring.
  • Market Dynamics
  • Driver: Streamlining IT operation for digital transformation through AI and automation
  • AIOps plays a pivotal role in driving digital transformation by streamlining IT operations and meeting the evolving customer demands in the digital age. It enables businesses to deliver seamless digital experiences by transforming the backend operations. With AIOps, the management of complex environments becomes simpler as it orchestrates infrastructure, applications, and services across hybrid cloud ecosystems, ensuring optimal efficiency and customer satisfaction. Enterprises worldwide are embarking on digital transformation journeys, driven by the need to modernize and adapt in the post-pandemic era of remote work and digital collaboration. However, the success rate of these initiatives remains challenging, with many projects falling short of their goals due to the complexities of implementing new technologies throughout the organization. To overcome these challenges, organizations can harness the power of AI and automation, specifically through the adoption of AIOps platforms. These solutions leverage machine learning to connect and contextualize operational data, enabling informed decision-making and automated issue resolution. By simplifying and streamlining the transformation process, AIOps platforms prove to be a game-changer, particularly as businesses scale up their operations.
  • By embracing AIOps platforms, enterprises empower their digital transformation initiatives, leveraging the capabilities of AI and automation to drive success, enhance operational efficiency, and effectively navigate the complexities of the modern business landscape.
  • Restraint: Addressing data quality and availability in AIOps implementation
  • Data quality and availability pose significant challenges in the implementation of AIOps platforms. AIOps relies on a diverse range of data sources, including system logs, metrics, historical performance data, real-time operations events, and incident-related information. However, the data required for AIOps often suffers from issues such as incompleteness, inconsistency, and being stored in disparate silos across the organization's infrastructure. Insufficient or poor-quality data adversely impacts the accuracy and reliability of AIOps algorithms, resulting in misleading insights and erroneous technology decisions. To overcome these restraints, organizations must focus on data governance practices, data integration techniques, and data quality assurance processes. This includes implementing robust data pipelines, data cleansing procedures, and data normalization techniques to ensure the data used by AIOps platforms is accurate, reliable, and readily available. Furthermore, organizations need to break down data silos, establish data standards, and enforce data quality controls to enhance the overall effectiveness and trustworthiness of AIOps platforms.
  • Opportunity: Growing demand for increased security threats mitigation and compliance requirements
  • The rising demand for increased security threats mitigation and compliance requirements presents a significant opportunity for AIOps platforms. With the growing complexity of IT environments and the evolving threat landscape, organizations face challenges in effectively detecting and responding to security incidents while meeting regulatory compliance standards. AIOps platforms leverage advanced analytics and machine learning algorithms to enhance security operations. By analyzing vast amounts of security-related data, including logs, events, and network traffic, these platforms identify patterns, anomalies, and potential security breaches in real-time. This proactive approach enables early threat detection and faster incident response, reducing the risk of data breaches and minimizing the impact of security incidents.
  • Moreover, AIOps platforms aid organizations in achieving compliance requirements by automating the collection, analysis, and reporting of security-related data. It provide continuous monitoring, audit trail generation, and assist in maintaining adherence to industry-specific regulations. By leveraging the power of AI and automation, AIOps platforms empower organizations to strengthen their security posture, mitigate security threats, and streamline compliance processes. It enable IT teams to efficiently manage security incidents, enhance visibility into security operations, and ensure the protection of critical assets and sensitive data.
  • Challenge: Lack of transparency and explainability
  • The lack of transparency and explainability in AIOps algorithms poses a significant issue that hampers the comprehension and articulation of the decision-making process. This lack of transparency and explainability leads to trust issues, especially in regulated industries where human judgment holds paramount importance. The complexity inherent in AIOps algorithms presents challenges in understanding and validating the outcomes they generate. This becomes particularly critical in highly regulated sectors such as finance and healthcare, where accountability and compliance are of utmost significance. Being able to elucidate AI-driven decisions becomes crucial in such environments. To tackle this challenge, it is imperative to enhance the explainability of AIOps algorithms through the development of interpretability techniques. These techniques aim to provide transparent insights into the inner workings and decision-making process of AIOps platforms. By incorporating explainability features, organizations build trust, ensure compliance with regulations, and gain a deeper understanding of the rationale behind the recommendations and actions of AIOps platforms. Effectively addressing this challenge requires striking a balance between algorithmic complexity and interpretability, enabling stakeholders to comprehend and trust the decisions made by AIOps systems with confidence. Achieving explainability is instrumental in the successful adoption and acceptance of AIOps platforms, particularly in regulated industries where transparency and accountability are integral.
  • By application, infrastructure management to account for the largest market size during the forecast period
  • Infrastructure management is adopting AIOps platforms to optimize and streamline IT operations. AIOps leverages AI and ML algorithms to analyze vast amounts of infrastructure data in real-time, enabling proactive monitoring, predictive insights, and intelligent automation. By detecting anomalies, predicting potential issues, and automating routine tasks, AIOps improves resource allocation, reduces downtime, and enhances overall infrastructure performance. This adoption of AIOps empowers IT teams to efficiently manage complex and dynamic infrastructures, ensuring better system reliability and meeting the demands of modern business operations.
  • By deployment, cloud to account for the largest market size during the forecast period
  • Cloud environments are increasingly adopting AIOps platforms to address the challenges posed by the dynamic and complex nature of cloud-based infrastructures. AIOps leverages AI and ML technologies to analyze data from various cloud sources, such as logs, metrics, and monitoring tools, in real-time. This enables cloud providers and users to gain deep insights into the performance, security, and resource utilization of cloud services. AIOps platforms help optimize cloud resource allocation, automate incident management, and detect potential issues proactively. By embracing AIOps, cloud environments enhance efficiency, improve service reliability, and provide better user experiences for organizations and end-users leveraging cloud services.
  • By offering, platform to account for the largest market size during the forecast period
  • AIOps technology is being adopted across various platforms to enhance IT operations. Domain-centric AIOps focuses on specific IT domains, offering tailored insights and automation. Monitoring-centric AIOps uses real-time data from monitoring tools to detect anomalies and improve system performance. ITSM-centric AIOps integrates with IT Service Management processes for efficient incident and problem resolution. Data lake-centric AIOps leverages data repositories for advanced analytics, enabling proactive operations. Domain-agnostic AIOps provides a unified view of the entire IT environment, using data integration for comprehensive analytics.
  • North America to account for the largest market size during the forecast period
  • North America is expected to have the largest market share in AIOps Platform market. AIOps Platform is making a significant impact on North America, driving innovation and transforming industries across the region. North America's leadership in AIOps platforms is driven by early adoption, a vibrant tech innovation ecosystem, and a skilled workforce. The region's focus on digital transformation, collaborations, and significant investments in AIOps drive its competitiveness. A thriving startup ecosystem introduces disruptive solutions, keeping North America at the forefront of AIOps technology. These factors collectively enable the region to leverage cutting-edge AIOps platforms and gain a competitive edge in the evolving market.
  • Recent Developments:
  • In June 2023, IBM announced the acquisition of Apptio to accelerate the advancement of IBM's IT automation capabilities and enable enterprise leaders to deliver enhanced business value across technology investments.
  • In February 2023, OpenText announced the acquisition of Micro Focus to help enterprise professionals secure their operations, gain more insight into their information, and better manage an increasingly hybrid and complex digital fabric.
  • In January 2023, Interlink Software partnered with Cisco and integrated its AIOps platform with AppDynamics. By leveraging this integration, IT teams mitigate the risk of unnecessary IT outages and enhance service availability, optimizing overall operational performance.
  • In April 2022, Meliá Hotels International collaborated with Dynatrace to fuels its digital transformation by migrating its critical applications. Using Dynatrace's observability and advanced AIOps capabilities, Meliá ensures that their digital services match the quality of in-person interactions with hotel staff.
  • In December 2021, Broadcom announced the acquisition of AppNeta. The acquisition of AppNeta by Broadcom allows for the integration of AppNeta's scalable end-to-end visibility solution with Broadcom's infrastructure and AIOps capabilities.
  • KEY MARKET SEGMENTS
  • By Offering
  • Platform
  • Domain-Centric
  • Monitoring-centric AIOps
  • ITSM centric-AIOps
  • Data-Lake centric-AIOps
  • Domain-Agnostic
  • Services
  • By Services
  • Professional Services
  • Implementation Services
  • Licenses and Maintenance Services
  • Training & Education Services
  • Consulting Services
  • Managed Services
  • Managed Network Servicecs
  • Managed Cloud Services
  • Managed Security Services
  • Manged Automation Servcies
  • By Deployment Mode
  • On-Premises
  • Cloud
  • Public Cloud
  • Private Cloud
  • Hybrid Cloud
  • By Application
  • Infrastructure Mangement
  • Anomaly Detection and Root Cause Analysis
  • Automated Incident Management
  • Capacity Planning and Optimization
  • Performance Monitoring and Optimization
  • Server Monitoring and Management
  • Storage Monitoring and Management
  • Application Performance Monitoring
  • Network Monitoring
  • ITSM
  • Service Level Management
  • Configuration Management
  • Actionable Intelligence
  • IT Asset Management
  • Service Desk Automation (Chatbot)
  • Security & Event Management
  • Security Incident and Event Management (SIEM)
  • Threat Intelligence and Detection
  • Security Automation and Orchestration
  • Security Event Correlation
  • User and Entity Behavior Analytics
  • Vulnerability Management
  • By Vertical
  • BFSI
  • Retail & eCommerce
  • Transportation and Logistics
  • Government & Defense
  • Healthcare & Life Sciences
  • Telecom
  • Energy & Utilities
  • Manufacturing
  • IT/ITeS
  • Media & Entertainment
  • Other Verticals
  • By Region
  • North America
  • US
  • Canada
  • Europe
  • UK
  • Germany
  • France
  • Italy
  • Spain
  • Rest of Europe
  • Asia Pacific
  • China
  • India
  • South Korea
  • ANZ
  • Japan
  • ASEAN
  • Rest of Asia Pacific
  • Middle East & Africa
  • KSA
  • Israel
  • Egypt
  • UAE
  • South Africa
  • Rest of the Middle East & Africa
  • Latin America
  • Brazil
  • Mexico
  • Argentina
  • Rest of Latin America
  • KEY MARKET PLAYERS
  • IBM
  • Splunk
  • Broadcom
  • OpenText
  • Dynatrace
  • Cisco
  • HCL Technologies
  • Elastic
  • ServiceNow
  • HPE
  • Datadog
  • New Relic
  • SolarWinds
  • BMC Software
  • ScienceLogic
  • BigPanda
  • LogicMonitor
  • Sumo Logic
  • Moogsoft
  • Resolve Systems
  • AIMS Innovation
  • Interlink Software
  • CloudFabrix
  • PagerDuty
  • Aisera
  • ManageEngine
  • Digitate
  • ZIF.ai
  • Autointelli
  • UST
  • Freshworks
  • Everbridge
  • StackState
  • Logz.io

SkyQuest's Expertise:

The AIOps platform Market is being analyzed by SkyQuest's analysts with the help of 20+ scheduled Primary interviews from both the demand and supply sides. We have already invested more than 250 hours on this report and are still refining our date to provide authenticated data to your readers and clients. Exhaustive primary and secondary research is conducted to collect information on the market, peer market, and parent market.

Our cross-industry experts and revenue-impact consultants at SkyQuest enable our clients to convert market intelligence into actionable, quantifiable results through personalized engagement.

Scope Of Report

Report Attribute Details
The base year for estimation 2021
Historical data 2016 – 2022
Forecast period 2022 – 2028
Report coverage Revenue forecast, volume forecast, company ranking, competitive landscape, growth factors, and trends, Pricing Analysis
Segments covered
  • By Offering - Platform, Domain-Centric, Monitoring-centric AIOps, ITSM centric-AIOps, Data-Lake centric-AIOps, Domain-Agnostic, Services
  • By Services - Professional Services, Implementation Services, Licenses and Maintenance Services, Training & Education Services, Consulting Services, Managed Services, Managed Network Servicecs, Managed Cloud Services, Managed Security Services, Manged Automation Servcies
  • By Deployment Mode - On-Premises, Cloud, Public Cloud, Private Cloud, Hybrid Cloud
  • By Application - Infrastructure Mangement, Anomaly Detection and Root Cause Analysis, Automated Incident Management, Capacity Planning and Optimization, Performance Monitoring and Optimization, Server Monitoring and Management, Storage Monitoring and Management, Application Performance Monitoring, Network Monitoring, ITSM, Service Level Management, Configuration Management, Actionable Intelligence, IT Asset Management, Service Desk Automation (Chatbot), Security & Event Management, Security Incident and Event Management (SIEM), Threat Intelligence and Detection, Security Automation and Orchestration, Security Event Correlation, User and Entity Behavior Analytics, Vulnerability Management
  • By Vertical - BFSI, Retail & eCommerce, Transportation and Logistics, Government & Defense, Healthcare & Life Sciences, Telecom, Energy & Utilities, Manufacturing, IT/ITeS, Media & Entertainment, Other Verticals
  • By Region - North America, US, Canada, Europe, UK, Germany, France, Italy, Spain, Rest of Europe, Asia Pacific, China, India, South Korea, ANZ, Japan, ASEAN, Rest of Asia Pacific, Middle East & Africa, KSA, Israel, Egypt, UAE, South Africa, Rest of the Middle East & Africa, Latin America, Brazil, Mexico, Argentina, Rest of Latin America, KEY MARKET PLAYERS, IBM, Splunk, Broadcom, OpenText, Dynatrace, Cisco, HCL Technologies, Elastic, ServiceNow, HPE, Datadog, New Relic, SolarWinds, BMC Software, ScienceLogic, BigPanda, LogicMonitor, Sumo Logic, Moogsoft, Resolve Systems, AIMS Innovation, Interlink Software, CloudFabrix, PagerDuty, Aisera, ManageEngine, Digitate, ZIF.ai, Autointelli, UST, Freshworks, Everbridge, StackState
Regional scope North America, Europe, Asia-Pacific (APAC), Latin America (LATAM), Middle East & Africa (MEA)
Country scope U.S., Canada, Germany, France, UK, Italy, Spain, China, India, Japan, Brazil, GCC Countries, South Africa
Key companies profiled
  • market for AIOps Platform is projected to grow from USD 11.7 billion in 2023 to USD 32.4 billion by 2028, at a CAGR of 22.7% during the forecast period. The rapid digital transformation in global business organizations has led to increasingly complex datasets, requiring significant time, cost, and effort for data processing. As IT operations are also undergoing this transformation, IT teams face the challenge of managing intricate datasets to sustain business operations. Additionally, the distributed architecture and dynamic nature of modern business applications and services have resulted in a considerable increase in data loads over recent years. To address the growing demand for IT agility, the AIOps platform has emerged as a solution for IT operations teams. This AI-powered platform combines human intelligence with automated algorithms, providing full visibility into IT system performance.
  • Technology Roadmap of AIOps Platform till 2030
  • The AIOps Paltform market report covers technology roadmap till 2030, with insights around short-term, mid-term, and long-term developments.
  • Short-term roadmap (2023-2025)
  • The focus is on improving the integration of diverse data sources into the AIOps platform.
  • The AIOps platform enables real-time analysis of streaming data to provide instantaneous insights and proactive monitoring.
  • Focus on improving the interpretability and explainability of AI models used in the AIOps platform.
  • The AIOps platform incorporates self-learning capabilities to adapt and improve over time.
  • Mid-term roadmap (2025-2028)
  • The AIOps platform expands its integration capabilities to include emerging data sources such as IoT devices and edge computing systems.
  • Strengthens capabilities for processing and analyzing high-velocity, real-time data streams.
  • Advanced techniques, such as rule-based approaches, causal AI, and counterfactual explanations, are explored to provide deeper insights into the reasoning behind AI-driven decisions.
  • Development of self-adaptive systems to dynamically adjust algorithms and models based on evolving IT landscapes.
  • Long-term roadmap (2028-2030)
  • Advanced techniques, such as data virtualization and federated learning, enable the platform to handle distributed data sources and perform real-time data fusion.
  • Development of advanced streaming analytics techniques that enable real-time decision-making and automated actions.
  • Ethical considerations, including bias mitigation, privacy preservation, and algorithmic transparency, are integrated into the design and implementation of the AIOps platform.
  • Developing intelligent systems capable of self-healing, self-optimizing, and self-configuring.
  • Market Dynamics
  • Driver: Streamlining IT operation for digital transformation through AI and automation
  • AIOps plays a pivotal role in driving digital transformation by streamlining IT operations and meeting the evolving customer demands in the digital age. It enables businesses to deliver seamless digital experiences by transforming the backend operations. With AIOps, the management of complex environments becomes simpler as it orchestrates infrastructure, applications, and services across hybrid cloud ecosystems, ensuring optimal efficiency and customer satisfaction. Enterprises worldwide are embarking on digital transformation journeys, driven by the need to modernize and adapt in the post-pandemic era of remote work and digital collaboration. However, the success rate of these initiatives remains challenging, with many projects falling short of their goals due to the complexities of implementing new technologies throughout the organization. To overcome these challenges, organizations can harness the power of AI and automation, specifically through the adoption of AIOps platforms. These solutions leverage machine learning to connect and contextualize operational data, enabling informed decision-making and automated issue resolution. By simplifying and streamlining the transformation process, AIOps platforms prove to be a game-changer, particularly as businesses scale up their operations.
  • By embracing AIOps platforms, enterprises empower their digital transformation initiatives, leveraging the capabilities of AI and automation to drive success, enhance operational efficiency, and effectively navigate the complexities of the modern business landscape.
  • Restraint: Addressing data quality and availability in AIOps implementation
  • Data quality and availability pose significant challenges in the implementation of AIOps platforms. AIOps relies on a diverse range of data sources, including system logs, metrics, historical performance data, real-time operations events, and incident-related information. However, the data required for AIOps often suffers from issues such as incompleteness, inconsistency, and being stored in disparate silos across the organization's infrastructure. Insufficient or poor-quality data adversely impacts the accuracy and reliability of AIOps algorithms, resulting in misleading insights and erroneous technology decisions. To overcome these restraints, organizations must focus on data governance practices, data integration techniques, and data quality assurance processes. This includes implementing robust data pipelines, data cleansing procedures, and data normalization techniques to ensure the data used by AIOps platforms is accurate, reliable, and readily available. Furthermore, organizations need to break down data silos, establish data standards, and enforce data quality controls to enhance the overall effectiveness and trustworthiness of AIOps platforms.
  • Opportunity: Growing demand for increased security threats mitigation and compliance requirements
  • The rising demand for increased security threats mitigation and compliance requirements presents a significant opportunity for AIOps platforms. With the growing complexity of IT environments and the evolving threat landscape, organizations face challenges in effectively detecting and responding to security incidents while meeting regulatory compliance standards. AIOps platforms leverage advanced analytics and machine learning algorithms to enhance security operations. By analyzing vast amounts of security-related data, including logs, events, and network traffic, these platforms identify patterns, anomalies, and potential security breaches in real-time. This proactive approach enables early threat detection and faster incident response, reducing the risk of data breaches and minimizing the impact of security incidents.
  • Moreover, AIOps platforms aid organizations in achieving compliance requirements by automating the collection, analysis, and reporting of security-related data. It provide continuous monitoring, audit trail generation, and assist in maintaining adherence to industry-specific regulations. By leveraging the power of AI and automation, AIOps platforms empower organizations to strengthen their security posture, mitigate security threats, and streamline compliance processes. It enable IT teams to efficiently manage security incidents, enhance visibility into security operations, and ensure the protection of critical assets and sensitive data.
  • Challenge: Lack of transparency and explainability
  • The lack of transparency and explainability in AIOps algorithms poses a significant issue that hampers the comprehension and articulation of the decision-making process. This lack of transparency and explainability leads to trust issues, especially in regulated industries where human judgment holds paramount importance. The complexity inherent in AIOps algorithms presents challenges in understanding and validating the outcomes they generate. This becomes particularly critical in highly regulated sectors such as finance and healthcare, where accountability and compliance are of utmost significance. Being able to elucidate AI-driven decisions becomes crucial in such environments. To tackle this challenge, it is imperative to enhance the explainability of AIOps algorithms through the development of interpretability techniques. These techniques aim to provide transparent insights into the inner workings and decision-making process of AIOps platforms. By incorporating explainability features, organizations build trust, ensure compliance with regulations, and gain a deeper understanding of the rationale behind the recommendations and actions of AIOps platforms. Effectively addressing this challenge requires striking a balance between algorithmic complexity and interpretability, enabling stakeholders to comprehend and trust the decisions made by AIOps systems with confidence. Achieving explainability is instrumental in the successful adoption and acceptance of AIOps platforms, particularly in regulated industries where transparency and accountability are integral.
  • By application, infrastructure management to account for the largest market size during the forecast period
  • Infrastructure management is adopting AIOps platforms to optimize and streamline IT operations. AIOps leverages AI and ML algorithms to analyze vast amounts of infrastructure data in real-time, enabling proactive monitoring, predictive insights, and intelligent automation. By detecting anomalies, predicting potential issues, and automating routine tasks, AIOps improves resource allocation, reduces downtime, and enhances overall infrastructure performance. This adoption of AIOps empowers IT teams to efficiently manage complex and dynamic infrastructures, ensuring better system reliability and meeting the demands of modern business operations.
  • By deployment, cloud to account for the largest market size during the forecast period
  • Cloud environments are increasingly adopting AIOps platforms to address the challenges posed by the dynamic and complex nature of cloud-based infrastructures. AIOps leverages AI and ML technologies to analyze data from various cloud sources, such as logs, metrics, and monitoring tools, in real-time. This enables cloud providers and users to gain deep insights into the performance, security, and resource utilization of cloud services. AIOps platforms help optimize cloud resource allocation, automate incident management, and detect potential issues proactively. By embracing AIOps, cloud environments enhance efficiency, improve service reliability, and provide better user experiences for organizations and end-users leveraging cloud services.
  • By offering, platform to account for the largest market size during the forecast period
  • AIOps technology is being adopted across various platforms to enhance IT operations. Domain-centric AIOps focuses on specific IT domains, offering tailored insights and automation. Monitoring-centric AIOps uses real-time data from monitoring tools to detect anomalies and improve system performance. ITSM-centric AIOps integrates with IT Service Management processes for efficient incident and problem resolution. Data lake-centric AIOps leverages data repositories for advanced analytics, enabling proactive operations. Domain-agnostic AIOps provides a unified view of the entire IT environment, using data integration for comprehensive analytics.
  • North America to account for the largest market size during the forecast period
  • North America is expected to have the largest market share in AIOps Platform market. AIOps Platform is making a significant impact on North America, driving innovation and transforming industries across the region. North America's leadership in AIOps platforms is driven by early adoption, a vibrant tech innovation ecosystem, and a skilled workforce. The region's focus on digital transformation, collaborations, and significant investments in AIOps drive its competitiveness. A thriving startup ecosystem introduces disruptive solutions, keeping North America at the forefront of AIOps technology. These factors collectively enable the region to leverage cutting-edge AIOps platforms and gain a competitive edge in the evolving market.
  • Recent Developments:
  • In June 2023, IBM announced the acquisition of Apptio to accelerate the advancement of IBM's IT automation capabilities and enable enterprise leaders to deliver enhanced business value across technology investments.
  • In February 2023, OpenText announced the acquisition of Micro Focus to help enterprise professionals secure their operations, gain more insight into their information, and better manage an increasingly hybrid and complex digital fabric.
  • In January 2023, Interlink Software partnered with Cisco and integrated its AIOps platform with AppDynamics. By leveraging this integration, IT teams mitigate the risk of unnecessary IT outages and enhance service availability, optimizing overall operational performance.
  • In April 2022, Meliá Hotels International collaborated with Dynatrace to fuels its digital transformation by migrating its critical applications. Using Dynatrace's observability and advanced AIOps capabilities, Meliá ensures that their digital services match the quality of in-person interactions with hotel staff.
  • In December 2021, Broadcom announced the acquisition of AppNeta. The acquisition of AppNeta by Broadcom allows for the integration of AppNeta's scalable end-to-end visibility solution with Broadcom's infrastructure and AIOps capabilities.
  • KEY MARKET SEGMENTS
  • By Offering
  • Platform
  • Domain-Centric
  • Monitoring-centric AIOps
  • ITSM centric-AIOps
  • Data-Lake centric-AIOps
  • Domain-Agnostic
  • Services
  • By Services
  • Professional Services
  • Implementation Services
  • Licenses and Maintenance Services
  • Training & Education Services
  • Consulting Services
  • Managed Services
  • Managed Network Servicecs
  • Managed Cloud Services
  • Managed Security Services
  • Manged Automation Servcies
  • By Deployment Mode
  • On-Premises
  • Cloud
  • Public Cloud
  • Private Cloud
  • Hybrid Cloud
  • By Application
  • Infrastructure Mangement
  • Anomaly Detection and Root Cause Analysis
  • Automated Incident Management
  • Capacity Planning and Optimization
  • Performance Monitoring and Optimization
  • Server Monitoring and Management
  • Storage Monitoring and Management
  • Application Performance Monitoring
  • Network Monitoring
  • ITSM
  • Service Level Management
  • Configuration Management
  • Actionable Intelligence
  • IT Asset Management
  • Service Desk Automation (Chatbot)
  • Security & Event Management
  • Security Incident and Event Management (SIEM)
  • Threat Intelligence and Detection
  • Security Automation and Orchestration
  • Security Event Correlation
  • User and Entity Behavior Analytics
  • Vulnerability Management
  • By Vertical
  • BFSI
  • Retail & eCommerce
  • Transportation and Logistics
  • Government & Defense
  • Healthcare & Life Sciences
  • Telecom
  • Energy & Utilities
  • Manufacturing
  • IT/ITeS
  • Media & Entertainment
  • Other Verticals
  • By Region
  • North America
  • US
  • Canada
  • Europe
  • UK
  • Germany
  • France
  • Italy
  • Spain
  • Rest of Europe
  • Asia Pacific
  • China
  • India
  • South Korea
  • ANZ
  • Japan
  • ASEAN
  • Rest of Asia Pacific
  • Middle East & Africa
  • KSA
  • Israel
  • Egypt
  • UAE
  • South Africa
  • Rest of the Middle East & Africa
  • Latin America
  • Brazil
  • Mexico
  • Argentina
  • Rest of Latin America
  • KEY MARKET PLAYERS
  • IBM
  • Splunk
  • Broadcom
  • OpenText
  • Dynatrace
  • Cisco
  • HCL Technologies
  • Elastic
  • ServiceNow
  • HPE
  • Datadog
  • New Relic
  • SolarWinds
  • BMC Software
  • ScienceLogic
  • BigPanda
  • LogicMonitor
  • Sumo Logic
  • Moogsoft
  • Resolve Systems
  • AIMS Innovation
  • Interlink Software
  • CloudFabrix
  • PagerDuty
  • Aisera
  • ManageEngine
  • Digitate
  • ZIF.ai
  • Autointelli
  • UST
  • Freshworks
  • Everbridge
  • StackState
  • Logz.io
Customization scope Free report customization (15% Free customization) with purchase. Addition or alteration to country, regional & segment scope.
Pricing and purchase options Reap the benefits of customized purchase options to fit your specific research requirements.

Objectives of the Study

  • To forecast the market size, in terms of value, for various segments with respect to five main regions, namely, North America, Europe, Asia-Pacific (APAC), Latin America (LATAM), Middle East & Africa (MEA)
  • To provide detailed information regarding the major factors influencing the growth of the Market (drivers, restraints, opportunities, and challenges)
  • To strategically analyze the micro markets with respect to the individual growth trends, future prospects, and contribution to the total market
  • To provide a detailed overview of the value chain and analyze market trends with the Porter's five forces analysis
  • To analyze the opportunities in the market for various stakeholders by identifying the high-growth Segments
  • To identify the key players and comprehensively analyze their market position in terms of ranking and core competencies, along with detailing the competitive landscape for the market leaders
  • To analyze competitive development such as joint ventures, mergers and acquisitions, new product launches and development, and research and development in the market

What does this Report Deliver?

  • Market Estimation for 20+ Countries
  • Historical data coverage: 2016 to 2022
  • Growth projections: 2022 to 2028
  • SkyQuest's premium market insights: Innovation matrix, IP analysis, Production Analysis, Value chain analysis, Technological trends, and Trade analysis
  • Customization on Segments, Regions, and Company Profiles
  • 100+ tables, 150+ Figures, 10+ matrix
  • Global and Country Market Trends
  • Comprehensive Mapping of Industry Parameters
  • Attractive Investment Proposition
  • Competitive Strategies Adopted by Leading Market Participants
  • Market drivers, restraints, opportunities, and its impact on the market
  • Regulatory scenario, regional dynamics, and insights of leading countries in each region
  • Segment trends analysis, opportunity, and growth
  • Opportunity analysis by region and country
  • Porter's five force analysis to know the market's condition
  • Pricing analysis
  • Parent market analysis
  • Product portfolio benchmarking

Table Of Content

Executive Summary

Market overview

  • Exhibit: Executive Summary – Chart on Market Overview
  • Exhibit: Executive Summary – Data Table on Market Overview
  • Exhibit: Executive Summary – Chart on AIOps platform Market Characteristics
  • Exhibit: Executive Summary – Chart on Market by Geography
  • Exhibit: Executive Summary – Chart on Market Segmentation
  • Exhibit: Executive Summary – Chart on Incremental Growth
  • Exhibit: Executive Summary – Data Table on Incremental Growth
  • Exhibit: Executive Summary – Chart on Vendor Market Positioning

Parent Market Analysis

Market overview

Market size

  • Market Dynamics
    • Exhibit: Impact analysis of DROC, 2021
      • Drivers
      • Opportunities
      • Restraints
      • Challenges
  • SWOT Analysis

KEY MARKET INSIGHTS

  • Technology Analysis
    • (Exhibit: Data Table: Name of technology and details)
  • Pricing Analysis
    • (Exhibit: Data Table: Name of technology and pricing details)
  • Supply Chain Analysis
    • (Exhibit: Detailed Supply Chain Presentation)
  • Value Chain Analysis
    • (Exhibit: Detailed Value Chain Presentation)
  • Ecosystem Of the Market
    • Exhibit: Parent Market Ecosystem Market Analysis
    • Exhibit: Market Characteristics of Parent Market
  • IP Analysis
    • (Exhibit: Data Table: Name of product/technology, patents filed, inventor/company name, acquiring firm)
  • Trade Analysis
    • (Exhibit: Data Table: Import and Export data details)
  • Startup Analysis
    • (Exhibit: Data Table: Emerging startups details)
  • Raw Material Analysis
    • (Exhibit: Data Table: Mapping of key raw materials)
  • Innovation Matrix
    • (Exhibit: Positioning Matrix: Mapping of new and existing technologies)
  • Pipeline product Analysis
    • (Exhibit: Data Table: Name of companies and pipeline products, regional mapping)
  • Macroeconomic Indicators

COVID IMPACT

  • Introduction
  • Impact On Economy—scenario Assessment
    • Exhibit: Data on GDP - Year-over-year growth 2016-2022 (%)
  • Revised Market Size
    • Exhibit: Data Table on AIOps platform Market size and forecast 2021-2027 ($ million)
  • Impact Of COVID On Key Segments
    • Exhibit: Data Table on Segment Market size and forecast 2021-2027 ($ million)
  • COVID Strategies By Company
    • Exhibit: Analysis on key strategies adopted by companies

MARKET DYNAMICS & OUTLOOK

  • Market Dynamics
    • Exhibit: Impact analysis of DROC, 2021
      • Drivers
      • Opportunities
      • Restraints
      • Challenges
  • Regulatory Landscape
    • Exhibit: Data Table on regulation from different region
  • SWOT Analysis
  • Porters Analysis
    • Competitive rivalry
      • Exhibit: Competitive rivalry Impact of key factors, 2021
    • Threat of substitute products
      • Exhibit: Threat of Substitute Products Impact of key factors, 2021
    • Bargaining power of buyers
      • Exhibit: buyers bargaining power Impact of key factors, 2021
    • Threat of new entrants
      • Exhibit: Threat of new entrants Impact of key factors, 2021
    • Bargaining power of suppliers
      • Exhibit: Threat of suppliers bargaining power Impact of key factors, 2021
  • Skyquest special insights on future disruptions
    • Political Impact
    • Economic impact
    • Social Impact
    • Technical Impact
    • Environmental Impact
    • Legal Impact

Market Size by Region

  • Chart on Market share by geography 2021-2027 (%)
  • Data Table on Market share by geography 2021-2027(%)
  • North America
    • Chart on Market share by country 2021-2027 (%)
    • Data Table on Market share by country 2021-2027(%)
    • USA
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • Canada
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
  • Europe
    • Chart on Market share by country 2021-2027 (%)
    • Data Table on Market share by country 2021-2027(%)
    • Germany
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • Spain
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • France
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • UK
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • Rest of Europe
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
  • Asia Pacific
    • Chart on Market share by country 2021-2027 (%)
    • Data Table on Market share by country 2021-2027(%)
    • China
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • India
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • Japan
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • South Korea
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • Rest of Asia Pacific
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
  • Latin America
    • Chart on Market share by country 2021-2027 (%)
    • Data Table on Market share by country 2021-2027(%)
    • Brazil
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • Rest of South America
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
  • Middle East & Africa (MEA)
    • Chart on Market share by country 2021-2027 (%)
    • Data Table on Market share by country 2021-2027(%)
    • GCC Countries
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • South Africa
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • Rest of MEA
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)

KEY COMPANY PROFILES

  • Competitive Landscape
    • Total number of companies covered
      • Exhibit: companies covered in the report, 2021
    • Top companies market positioning
      • Exhibit: company positioning matrix, 2021
    • Top companies market Share
      • Exhibit: Pie chart analysis on company market share, 2021(%)
  • market for AIOps Platform is projected to grow from USD 11.7 billion in 2023 to USD 32.4 billion by 2028, at a CAGR of 22.7% during the forecast period. The rapid digital transformation in global business organizations has led to increasingly complex datasets, requiring significant time, cost, and effort for data processing. As IT operations are also undergoing this transformation, IT teams face the challenge of managing intricate datasets to sustain business operations. Additionally, the distributed architecture and dynamic nature of modern business applications and services have resulted in a considerable increase in data loads over recent years. To address the growing demand for IT agility, the AIOps platform has emerged as a solution for IT operations teams. This AI-powered platform combines human intelligence with automated algorithms, providing full visibility into IT system performance.
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Technology Roadmap of AIOps Platform till 2030
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • The AIOps Paltform market report covers technology roadmap till 2030, with insights around short-term, mid-term, and long-term developments.
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Short-term roadmap (2023-2025)
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • The focus is on improving the integration of diverse data sources into the AIOps platform.
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • The AIOps platform enables real-time analysis of streaming data to provide instantaneous insights and proactive monitoring.
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Focus on improving the interpretability and explainability of AI models used in the AIOps platform.
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • The AIOps platform incorporates self-learning capabilities to adapt and improve over time.
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Mid-term roadmap (2025-2028)
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • The AIOps platform expands its integration capabilities to include emerging data sources such as IoT devices and edge computing systems.
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Strengthens capabilities for processing and analyzing high-velocity, real-time data streams.
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Advanced techniques, such as rule-based approaches, causal AI, and counterfactual explanations, are explored to provide deeper insights into the reasoning behind AI-driven decisions.
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Development of self-adaptive systems to dynamically adjust algorithms and models based on evolving IT landscapes.
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Long-term roadmap (2028-2030)
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Advanced techniques, such as data virtualization and federated learning, enable the platform to handle distributed data sources and perform real-time data fusion.
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Development of advanced streaming analytics techniques that enable real-time decision-making and automated actions.
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Ethical considerations, including bias mitigation, privacy preservation, and algorithmic transparency, are integrated into the design and implementation of the AIOps platform.
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Developing intelligent systems capable of self-healing, self-optimizing, and self-configuring.
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Market Dynamics
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Driver: Streamlining IT operation for digital transformation through AI and automation
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • AIOps plays a pivotal role in driving digital transformation by streamlining IT operations and meeting the evolving customer demands in the digital age. It enables businesses to deliver seamless digital experiences by transforming the backend operations. With AIOps, the management of complex environments becomes simpler as it orchestrates infrastructure, applications, and services across hybrid cloud ecosystems, ensuring optimal efficiency and customer satisfaction. Enterprises worldwide are embarking on digital transformation journeys, driven by the need to modernize and adapt in the post-pandemic era of remote work and digital collaboration. However, the success rate of these initiatives remains challenging, with many projects falling short of their goals due to the complexities of implementing new technologies throughout the organization. To overcome these challenges, organizations can harness the power of AI and automation, specifically through the adoption of AIOps platforms. These solutions leverage machine learning to connect and contextualize operational data, enabling informed decision-making and automated issue resolution. By simplifying and streamlining the transformation process, AIOps platforms prove to be a game-changer, particularly as businesses scale up their operations.
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • By embracing AIOps platforms, enterprises empower their digital transformation initiatives, leveraging the capabilities of AI and automation to drive success, enhance operational efficiency, and effectively navigate the complexities of the modern business landscape.
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Restraint: Addressing data quality and availability in AIOps implementation
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Data quality and availability pose significant challenges in the implementation of AIOps platforms. AIOps relies on a diverse range of data sources, including system logs, metrics, historical performance data, real-time operations events, and incident-related information. However, the data required for AIOps often suffers from issues such as incompleteness, inconsistency, and being stored in disparate silos across the organization's infrastructure. Insufficient or poor-quality data adversely impacts the accuracy and reliability of AIOps algorithms, resulting in misleading insights and erroneous technology decisions. To overcome these restraints, organizations must focus on data governance practices, data integration techniques, and data quality assurance processes. This includes implementing robust data pipelines, data cleansing procedures, and data normalization techniques to ensure the data used by AIOps platforms is accurate, reliable, and readily available. Furthermore, organizations need to break down data silos, establish data standards, and enforce data quality controls to enhance the overall effectiveness and trustworthiness of AIOps platforms.
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Opportunity: Growing demand for increased security threats mitigation and compliance requirements
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • The rising demand for increased security threats mitigation and compliance requirements presents a significant opportunity for AIOps platforms. With the growing complexity of IT environments and the evolving threat landscape, organizations face challenges in effectively detecting and responding to security incidents while meeting regulatory compliance standards. AIOps platforms leverage advanced analytics and machine learning algorithms to enhance security operations. By analyzing vast amounts of security-related data, including logs, events, and network traffic, these platforms identify patterns, anomalies, and potential security breaches in real-time. This proactive approach enables early threat detection and faster incident response, reducing the risk of data breaches and minimizing the impact of security incidents.
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Moreover, AIOps platforms aid organizations in achieving compliance requirements by automating the collection, analysis, and reporting of security-related data. It provide continuous monitoring, audit trail generation, and assist in maintaining adherence to industry-specific regulations. By leveraging the power of AI and automation, AIOps platforms empower organizations to strengthen their security posture, mitigate security threats, and streamline compliance processes. It enable IT teams to efficiently manage security incidents, enhance visibility into security operations, and ensure the protection of critical assets and sensitive data.
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Challenge: Lack of transparency and explainability
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • The lack of transparency and explainability in AIOps algorithms poses a significant issue that hampers the comprehension and articulation of the decision-making process. This lack of transparency and explainability leads to trust issues, especially in regulated industries where human judgment holds paramount importance. The complexity inherent in AIOps algorithms presents challenges in understanding and validating the outcomes they generate. This becomes particularly critical in highly regulated sectors such as finance and healthcare, where accountability and compliance are of utmost significance. Being able to elucidate AI-driven decisions becomes crucial in such environments. To tackle this challenge, it is imperative to enhance the explainability of AIOps algorithms through the development of interpretability techniques. These techniques aim to provide transparent insights into the inner workings and decision-making process of AIOps platforms. By incorporating explainability features, organizations build trust, ensure compliance with regulations, and gain a deeper understanding of the rationale behind the recommendations and actions of AIOps platforms. Effectively addressing this challenge requires striking a balance between algorithmic complexity and interpretability, enabling stakeholders to comprehend and trust the decisions made by AIOps systems with confidence. Achieving explainability is instrumental in the successful adoption and acceptance of AIOps platforms, particularly in regulated industries where transparency and accountability are integral.
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • By application, infrastructure management to account for the largest market size during the forecast period
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Infrastructure management is adopting AIOps platforms to optimize and streamline IT operations. AIOps leverages AI and ML algorithms to analyze vast amounts of infrastructure data in real-time, enabling proactive monitoring, predictive insights, and intelligent automation. By detecting anomalies, predicting potential issues, and automating routine tasks, AIOps improves resource allocation, reduces downtime, and enhances overall infrastructure performance. This adoption of AIOps empowers IT teams to efficiently manage complex and dynamic infrastructures, ensuring better system reliability and meeting the demands of modern business operations.
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • By deployment, cloud to account for the largest market size during the forecast period
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Cloud environments are increasingly adopting AIOps platforms to address the challenges posed by the dynamic and complex nature of cloud-based infrastructures. AIOps leverages AI and ML technologies to analyze data from various cloud sources, such as logs, metrics, and monitoring tools, in real-time. This enables cloud providers and users to gain deep insights into the performance, security, and resource utilization of cloud services. AIOps platforms help optimize cloud resource allocation, automate incident management, and detect potential issues proactively. By embracing AIOps, cloud environments enhance efficiency, improve service reliability, and provide better user experiences for organizations and end-users leveraging cloud services.
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • By offering, platform to account for the largest market size during the forecast period
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • AIOps technology is being adopted across various platforms to enhance IT operations. Domain-centric AIOps focuses on specific IT domains, offering tailored insights and automation. Monitoring-centric AIOps uses real-time data from monitoring tools to detect anomalies and improve system performance. ITSM-centric AIOps integrates with IT Service Management processes for efficient incident and problem resolution. Data lake-centric AIOps leverages data repositories for advanced analytics, enabling proactive operations. Domain-agnostic AIOps provides a unified view of the entire IT environment, using data integration for comprehensive analytics.
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • North America to account for the largest market size during the forecast period
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • North America is expected to have the largest market share in AIOps Platform market. AIOps Platform is making a significant impact on North America, driving innovation and transforming industries across the region. North America's leadership in AIOps platforms is driven by early adoption, a vibrant tech innovation ecosystem, and a skilled workforce. The region's focus on digital transformation, collaborations, and significant investments in AIOps drive its competitiveness. A thriving startup ecosystem introduces disruptive solutions, keeping North America at the forefront of AIOps technology. These factors collectively enable the region to leverage cutting-edge AIOps platforms and gain a competitive edge in the evolving market.
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Recent Developments:
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • In June 2023, IBM announced the acquisition of Apptio to accelerate the advancement of IBM's IT automation capabilities and enable enterprise leaders to deliver enhanced business value across technology investments.
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • In February 2023, OpenText announced the acquisition of Micro Focus to help enterprise professionals secure their operations, gain more insight into their information, and better manage an increasingly hybrid and complex digital fabric.
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • In January 2023, Interlink Software partnered with Cisco and integrated its AIOps platform with AppDynamics. By leveraging this integration, IT teams mitigate the risk of unnecessary IT outages and enhance service availability, optimizing overall operational performance.
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • In April 2022, Meliá Hotels International collaborated with Dynatrace to fuels its digital transformation by migrating its critical applications. Using Dynatrace's observability and advanced AIOps capabilities, Meliá ensures that their digital services match the quality of in-person interactions with hotel staff.
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • In December 2021, Broadcom announced the acquisition of AppNeta. The acquisition of AppNeta by Broadcom allows for the integration of AppNeta's scalable end-to-end visibility solution with Broadcom's infrastructure and AIOps capabilities.
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • KEY MARKET SEGMENTS
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • By Offering
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Platform
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Domain-Centric
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Monitoring-centric AIOps
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • ITSM centric-AIOps
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Data-Lake centric-AIOps
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Domain-Agnostic
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Services
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • By Services
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Professional Services
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Implementation Services
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Licenses and Maintenance Services
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Training & Education Services
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Consulting Services
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Managed Services
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Managed Network Servicecs
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Managed Cloud Services
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Managed Security Services
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Manged Automation Servcies
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • By Deployment Mode
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • On-Premises
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Cloud
    • Exhibit Company Overview
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    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Public Cloud
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Private Cloud
    • Exhibit Company Overview
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    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Hybrid Cloud
    • Exhibit Company Overview
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    • Exhibit Financial Updates
    • Exhibit Key Developments
  • By Application
    • Exhibit Company Overview
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    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Infrastructure Mangement
    • Exhibit Company Overview
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    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Anomaly Detection and Root Cause Analysis
    • Exhibit Company Overview
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    • Exhibit Financial Updates
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  • Automated Incident Management
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Capacity Planning and Optimization
    • Exhibit Company Overview
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    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Performance Monitoring and Optimization
    • Exhibit Company Overview
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    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Server Monitoring and Management
    • Exhibit Company Overview
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    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Storage Monitoring and Management
    • Exhibit Company Overview
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    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Application Performance Monitoring
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Network Monitoring
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • ITSM
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Service Level Management
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Configuration Management
    • Exhibit Company Overview
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    • Exhibit Key Developments
  • Actionable Intelligence
    • Exhibit Company Overview
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    • Exhibit Financial Updates
    • Exhibit Key Developments
  • IT Asset Management
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Service Desk Automation (Chatbot)
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Security & Event Management
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Security Incident and Event Management (SIEM)
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Threat Intelligence and Detection
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Security Automation and Orchestration
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Security Event Correlation
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • User and Entity Behavior Analytics
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Vulnerability Management
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • By Vertical
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • BFSI
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Retail & eCommerce
    • Exhibit Company Overview
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    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Transportation and Logistics
    • Exhibit Company Overview
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    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Government & Defense
    • Exhibit Company Overview
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    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Healthcare & Life Sciences
    • Exhibit Company Overview
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    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Telecom
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Energy & Utilities
    • Exhibit Company Overview
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    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Manufacturing
    • Exhibit Company Overview
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    • Exhibit Financial Updates
    • Exhibit Key Developments
  • IT/ITeS
    • Exhibit Company Overview
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    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Media & Entertainment
    • Exhibit Company Overview
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    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Other Verticals
    • Exhibit Company Overview
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    • Exhibit Financial Updates
    • Exhibit Key Developments
  • By Region
    • Exhibit Company Overview
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    • Exhibit Financial Updates
    • Exhibit Key Developments
  • North America
    • Exhibit Company Overview
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    • Exhibit Financial Updates
    • Exhibit Key Developments
  • US
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Canada
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Europe
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • UK
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Germany
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • France
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Italy
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Spain
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Rest of Europe
    • Exhibit Company Overview
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    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Asia Pacific
    • Exhibit Company Overview
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    • Exhibit Financial Updates
    • Exhibit Key Developments
  • China
    • Exhibit Company Overview
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    • Exhibit Financial Updates
    • Exhibit Key Developments
  • India
    • Exhibit Company Overview
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    • Exhibit Financial Updates
    • Exhibit Key Developments
  • South Korea
    • Exhibit Company Overview
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    • Exhibit Financial Updates
    • Exhibit Key Developments
  • ANZ
    • Exhibit Company Overview
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    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Japan
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • ASEAN
    • Exhibit Company Overview
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    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Rest of Asia Pacific
    • Exhibit Company Overview
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    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Middle East & Africa
    • Exhibit Company Overview
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    • Exhibit Financial Updates
    • Exhibit Key Developments
  • KSA
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Israel
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Egypt
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • UAE
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • South Africa
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Rest of the Middle East & Africa
    • Exhibit Company Overview
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    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Latin America
    • Exhibit Company Overview
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    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Brazil
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Mexico
    • Exhibit Company Overview
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    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Argentina
    • Exhibit Company Overview
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    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Rest of Latin America
    • Exhibit Company Overview
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    • Exhibit Financial Updates
    • Exhibit Key Developments
  • KEY MARKET PLAYERS
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • IBM
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Splunk
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Broadcom
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • OpenText
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Dynatrace
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Cisco
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • HCL Technologies
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Elastic
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • ServiceNow
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • HPE
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Datadog
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • New Relic
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • SolarWinds
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • BMC Software
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • ScienceLogic
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • BigPanda
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • LogicMonitor
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Sumo Logic
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Moogsoft
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Resolve Systems
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • AIMS Innovation
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Interlink Software
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • CloudFabrix
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • PagerDuty
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Aisera
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • ManageEngine
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Digitate
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • ZIF.ai
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Autointelli
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • UST
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Freshworks
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Everbridge
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • StackState
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments
  • Logz.io
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
    • Exhibit Key Developments

Methodology

For the AIOps platform Market, our research methodology involved a mixture of primary and secondary data sources. Key steps involved in the research process are listed below:

1. Information Procurement: This stage involved the procurement of Market data or related information via primary and secondary sources. The various secondary sources used included various company websites, annual reports, trade databases, and paid databases such as Hoover's, Bloomberg Business, Factiva, and Avention. Our team did 45 primary interactions Globally which included several stakeholders such as manufacturers, customers, key opinion leaders, etc. Overall, information procurement was one of the most extensive stages in our research process.

2. Information Analysis: This step involved triangulation of data through bottom-up and top-down approaches to estimate and validate the total size and future estimate of the AIOps platform Market.

3. Report Formulation: The final step entailed the placement of data points in appropriate Market spaces in an attempt to deduce viable conclusions.

4. Validation & Publishing: Validation is the most important step in the process. Validation & re-validation via an intricately designed process helped us finalize data points to be used for final calculations. The final Market estimates and forecasts were then aligned and sent to our panel of industry experts for validation of data. Once the validation was done the report was sent to our Quality Assurance team to ensure adherence to style guides, consistency & design.

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Customization Options

With the given market data, our dedicated team of analysts can offer you the following customization options are available for the AIOps platform Market:

Product Analysis: Product matrix, which offers a detailed comparison of the product portfolio of companies.

Regional Analysis: Further analysis of the AIOps platform Market for additional countries.

Competitive Analysis: Detailed analysis and profiling of additional Market players & comparative analysis of competitive products.

Go to Market Strategy: Find the high-growth channels to invest your marketing efforts and increase your customer base.

Innovation Mapping: Identify racial solutions and innovation, connected to deep ecosystems of innovators, start-ups, academics, and strategic partners.

Category Intelligence: Customized intelligence that is relevant to their supply Markets will enable them to make smarter sourcing decisions and improve their category management.

Public Company Transcript Analysis: To improve the investment performance by generating new alpha and making better-informed decisions.

Social Media Listening: To analyze the conversations and trends happening not just around your brand, but around your industry as a whole, and use those insights to make better Marketing decisions.

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FAQs

The global market for AIOps platform was estimated to be valued at US$ XX Mn in 2021.

The global AIOps platform Market is estimated to grow at a CAGR of XX% by 2028.

The global AIOps platform Market is segmented on the basis of Offering, Services, Deployment Mode, Application, Vertical, Region.

Based on region, the global AIOps platform Market is segmented into North America, Europe, Asia Pacific, Middle East & Africa and Latin America.

The key players operating in the global AIOps platform Market are market for AIOps Platform is projected to grow from USD 11.7 billion in 2023 to USD 32.4 billion by 2028, at a CAGR of 22.7% during the forecast period. The rapid digital transformation in global business organizations has led to increasingly complex datasets, requiring significant time, cost, and effort for data processing. As IT operations are also undergoing this transformation, IT teams face the challenge of managing intricate datasets to sustain business operations. Additionally, the distributed architecture and dynamic nature of modern business applications and services have resulted in a considerable increase in data loads over recent years. To address the growing demand for IT agility, the AIOps platform has emerged as a solution for IT operations teams. This AI-powered platform combines human intelligence with automated algorithms, providing full visibility into IT system performance., Technology Roadmap of AIOps Platform till 2030, The AIOps Paltform market report covers technology roadmap till 2030, with insights around short-term, mid-term, and long-term developments., Short-term roadmap (2023-2025), The focus is on improving the integration of diverse data sources into the AIOps platform., The AIOps platform enables real-time analysis of streaming data to provide instantaneous insights and proactive monitoring., Focus on improving the interpretability and explainability of AI models used in the AIOps platform., The AIOps platform incorporates self-learning capabilities to adapt and improve over time., Mid-term roadmap (2025-2028), The AIOps platform expands its integration capabilities to include emerging data sources such as IoT devices and edge computing systems., Strengthens capabilities for processing and analyzing high-velocity, real-time data streams., Advanced techniques, such as rule-based approaches, causal AI, and counterfactual explanations, are explored to provide deeper insights into the reasoning behind AI-driven decisions., Development of self-adaptive systems to dynamically adjust algorithms and models based on evolving IT landscapes., Long-term roadmap (2028-2030), Advanced techniques, such as data virtualization and federated learning, enable the platform to handle distributed data sources and perform real-time data fusion., Development of advanced streaming analytics techniques that enable real-time decision-making and automated actions., Ethical considerations, including bias mitigation, privacy preservation, and algorithmic transparency, are integrated into the design and implementation of the AIOps platform., Developing intelligent systems capable of self-healing, self-optimizing, and self-configuring., Market Dynamics, Driver: Streamlining IT operation for digital transformation through AI and automation, AIOps plays a pivotal role in driving digital transformation by streamlining IT operations and meeting the evolving customer demands in the digital age. It enables businesses to deliver seamless digital experiences by transforming the backend operations. With AIOps, the management of complex environments becomes simpler as it orchestrates infrastructure, applications, and services across hybrid cloud ecosystems, ensuring optimal efficiency and customer satisfaction. Enterprises worldwide are embarking on digital transformation journeys, driven by the need to modernize and adapt in the post-pandemic era of remote work and digital collaboration. However, the success rate of these initiatives remains challenging, with many projects falling short of their goals due to the complexities of implementing new technologies throughout the organization. To overcome these challenges, organizations can harness the power of AI and automation, specifically through the adoption of AIOps platforms. These solutions leverage machine learning to connect and contextualize operational data, enabling informed decision-making and automated issue resolution. By simplifying and streamlining the transformation process, AIOps platforms prove to be a game-changer, particularly as businesses scale up their operations., By embracing AIOps platforms, enterprises empower their digital transformation initiatives, leveraging the capabilities of AI and automation to drive success, enhance operational efficiency, and effectively navigate the complexities of the modern business landscape., Restraint: Addressing data quality and availability in AIOps implementation, Data quality and availability pose significant challenges in the implementation of AIOps platforms. AIOps relies on a diverse range of data sources, including system logs, metrics, historical performance data, real-time operations events, and incident-related information. However, the data required for AIOps often suffers from issues such as incompleteness, inconsistency, and being stored in disparate silos across the organization's infrastructure. Insufficient or poor-quality data adversely impacts the accuracy and reliability of AIOps algorithms, resulting in misleading insights and erroneous technology decisions. To overcome these restraints, organizations must focus on data governance practices, data integration techniques, and data quality assurance processes. This includes implementing robust data pipelines, data cleansing procedures, and data normalization techniques to ensure the data used by AIOps platforms is accurate, reliable, and readily available. Furthermore, organizations need to break down data silos, establish data standards, and enforce data quality controls to enhance the overall effectiveness and trustworthiness of AIOps platforms., Opportunity: Growing demand for increased security threats mitigation and compliance requirements, The rising demand for increased security threats mitigation and compliance requirements presents a significant opportunity for AIOps platforms. With the growing complexity of IT environments and the evolving threat landscape, organizations face challenges in effectively detecting and responding to security incidents while meeting regulatory compliance standards. AIOps platforms leverage advanced analytics and machine learning algorithms to enhance security operations. By analyzing vast amounts of security-related data, including logs, events, and network traffic, these platforms identify patterns, anomalies, and potential security breaches in real-time. This proactive approach enables early threat detection and faster incident response, reducing the risk of data breaches and minimizing the impact of security incidents., Moreover, AIOps platforms aid organizations in achieving compliance requirements by automating the collection, analysis, and reporting of security-related data. It provide continuous monitoring, audit trail generation, and assist in maintaining adherence to industry-specific regulations. By leveraging the power of AI and automation, AIOps platforms empower organizations to strengthen their security posture, mitigate security threats, and streamline compliance processes. It enable IT teams to efficiently manage security incidents, enhance visibility into security operations, and ensure the protection of critical assets and sensitive data., Challenge: Lack of transparency and explainability, The lack of transparency and explainability in AIOps algorithms poses a significant issue that hampers the comprehension and articulation of the decision-making process. This lack of transparency and explainability leads to trust issues, especially in regulated industries where human judgment holds paramount importance. The complexity inherent in AIOps algorithms presents challenges in understanding and validating the outcomes they generate. This becomes particularly critical in highly regulated sectors such as finance and healthcare, where accountability and compliance are of utmost significance. Being able to elucidate AI-driven decisions becomes crucial in such environments. To tackle this challenge, it is imperative to enhance the explainability of AIOps algorithms through the development of interpretability techniques. These techniques aim to provide transparent insights into the inner workings and decision-making process of AIOps platforms. By incorporating explainability features, organizations build trust, ensure compliance with regulations, and gain a deeper understanding of the rationale behind the recommendations and actions of AIOps platforms. Effectively addressing this challenge requires striking a balance between algorithmic complexity and interpretability, enabling stakeholders to comprehend and trust the decisions made by AIOps systems with confidence. Achieving explainability is instrumental in the successful adoption and acceptance of AIOps platforms, particularly in regulated industries where transparency and accountability are integral., By application, infrastructure management to account for the largest market size during the forecast period, Infrastructure management is adopting AIOps platforms to optimize and streamline IT operations. AIOps leverages AI and ML algorithms to analyze vast amounts of infrastructure data in real-time, enabling proactive monitoring, predictive insights, and intelligent automation. By detecting anomalies, predicting potential issues, and automating routine tasks, AIOps improves resource allocation, reduces downtime, and enhances overall infrastructure performance. This adoption of AIOps empowers IT teams to efficiently manage complex and dynamic infrastructures, ensuring better system reliability and meeting the demands of modern business operations., By deployment, cloud to account for the largest market size during the forecast period, Cloud environments are increasingly adopting AIOps platforms to address the challenges posed by the dynamic and complex nature of cloud-based infrastructures. AIOps leverages AI and ML technologies to analyze data from various cloud sources, such as logs, metrics, and monitoring tools, in real-time. This enables cloud providers and users to gain deep insights into the performance, security, and resource utilization of cloud services. AIOps platforms help optimize cloud resource allocation, automate incident management, and detect potential issues proactively. By embracing AIOps, cloud environments enhance efficiency, improve service reliability, and provide better user experiences for organizations and end-users leveraging cloud services., By offering, platform to account for the largest market size during the forecast period, AIOps technology is being adopted across various platforms to enhance IT operations. Domain-centric AIOps focuses on specific IT domains, offering tailored insights and automation. Monitoring-centric AIOps uses real-time data from monitoring tools to detect anomalies and improve system performance. ITSM-centric AIOps integrates with IT Service Management processes for efficient incident and problem resolution. Data lake-centric AIOps leverages data repositories for advanced analytics, enabling proactive operations. Domain-agnostic AIOps provides a unified view of the entire IT environment, using data integration for comprehensive analytics., North America to account for the largest market size during the forecast period, North America is expected to have the largest market share in AIOps Platform market. AIOps Platform is making a significant impact on North America, driving innovation and transforming industries across the region. North America's leadership in AIOps platforms is driven by early adoption, a vibrant tech innovation ecosystem, and a skilled workforce. The region's focus on digital transformation, collaborations, and significant investments in AIOps drive its competitiveness. A thriving startup ecosystem introduces disruptive solutions, keeping North America at the forefront of AIOps technology. These factors collectively enable the region to leverage cutting-edge AIOps platforms and gain a competitive edge in the evolving market., Recent Developments:, In June 2023, IBM announced the acquisition of Apptio to accelerate the advancement of IBM's IT automation capabilities and enable enterprise leaders to deliver enhanced business value across technology investments., In February 2023, OpenText announced the acquisition of Micro Focus to help enterprise professionals secure their operations, gain more insight into their information, and better manage an increasingly hybrid and complex digital fabric., In January 2023, Interlink Software partnered with Cisco and integrated its AIOps platform with AppDynamics. By leveraging this integration, IT teams mitigate the risk of unnecessary IT outages and enhance service availability, optimizing overall operational performance., In April 2022, Meliá Hotels International collaborated with Dynatrace to fuels its digital transformation by migrating its critical applications. Using Dynatrace's observability and advanced AIOps capabilities, Meliá ensures that their digital services match the quality of in-person interactions with hotel staff., In December 2021, Broadcom announced the acquisition of AppNeta. The acquisition of AppNeta by Broadcom allows for the integration of AppNeta's scalable end-to-end visibility solution with Broadcom's infrastructure and AIOps capabilities., KEY MARKET SEGMENTS, By Offering, Platform, Domain-Centric, Monitoring-centric AIOps, ITSM centric-AIOps, Data-Lake centric-AIOps, Domain-Agnostic, Services, By Services, Professional Services, Implementation Services, Licenses and Maintenance Services, Training & Education Services, Consulting Services, Managed Services, Managed Network Servicecs, Managed Cloud Services, Managed Security Services, Manged Automation Servcies, By Deployment Mode, On-Premises, Cloud, Public Cloud, Private Cloud, Hybrid Cloud, By Application, Infrastructure Mangement, Anomaly Detection and Root Cause Analysis, Automated Incident Management, Capacity Planning and Optimization, Performance Monitoring and Optimization, Server Monitoring and Management, Storage Monitoring and Management, Application Performance Monitoring, Network Monitoring, ITSM, Service Level Management, Configuration Management, Actionable Intelligence, IT Asset Management, Service Desk Automation (Chatbot), Security & Event Management, Security Incident and Event Management (SIEM), Threat Intelligence and Detection, Security Automation and Orchestration, Security Event Correlation, User and Entity Behavior Analytics, Vulnerability Management, By Vertical, BFSI, Retail & eCommerce, Transportation and Logistics, Government & Defense, Healthcare & Life Sciences, Telecom, Energy & Utilities, Manufacturing, IT/ITeS, Media & Entertainment, Other Verticals, By Region, North America, US, Canada, Europe, UK, Germany, France, Italy, Spain, Rest of Europe, Asia Pacific, China, India, South Korea, ANZ, Japan, ASEAN, Rest of Asia Pacific, Middle East & Africa, KSA, Israel, Egypt, UAE, South Africa, Rest of the Middle East & Africa, Latin America, Brazil, Mexico, Argentina, Rest of Latin America, KEY MARKET PLAYERS, IBM, Splunk, Broadcom, OpenText, Dynatrace, Cisco, HCL Technologies, Elastic, ServiceNow, HPE, Datadog, New Relic, SolarWinds, BMC Software, ScienceLogic, BigPanda, LogicMonitor, Sumo Logic, Moogsoft, Resolve Systems, AIMS Innovation, Interlink Software, CloudFabrix, PagerDuty, Aisera, ManageEngine, Digitate, ZIF.ai, Autointelli, UST, Freshworks, Everbridge, StackState, Logz.io.

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