AIOps Market
Report ID: SQMIG45J2285
Report ID: SQMIG45J2285
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Report ID:
SQMIG45J2285 |
Region:
Global |
Published Date: March, 2025
Pages:
195
|Tables:
95
|Figures:
71
Global AIOps Market size was valued at USD 14.04 Billion in 2024 and is poised to grow from USD 17 Billion in 2025 to USD 78.62 Billion by 2033, growing at a CAGR of 21.1% during the forecast period (2026–2033).
The global AIOps market adapts to the shifting needs of IT management and industrial operations and is also evolving in various sectors. One of the key factors contributing to the global AIOps market growth is the increased complexity of IT operations and infrastructure. The digital transformation and cloud-native architectures lead to an exponential increase in the volume and diversity of data generated by IT systems. To cope up with this challenge, AIOps uses ML and AI algorithms to analyze and correlate heavy amounts of data from different sources, which enables IT teams to not wait for these issues to escalate but rather take proactive measures to prevent them.
Increasing operational agility and efficiency are further factors propelling the adoption of AIOps platforms. Traditional approaches to IT operations management often involve manual, reactive procedures that are laborious and error prone. AIOps solutions liberate IT staff members from time-consuming, mundane processes such as monitoring, alerting, and incident management so they can focus on strategic projects and creative work. AIOps platforms provide enterprises with real-time insight into IT systems' health and performance so that they see problems early enough and fix them to save some downtime and resource maximization. As current IT systems, including hybrid and multi-cloud infrastructures, grow more complex and extensive, AIOps platforms also become increasingly important.
Market snapshot - 2026-2033
Global Market Size
USD 11.59 billion
Largest Segment
Cloud
Fastest Growth
On-premise
Growth Rate
21.1% CAGR
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Global AIOps Market is segmented by Offering, Deployment Mode, Application, Vertical and region. Based on Offering, the market is segmented into Platform, Domain-Centric, Domain-Agnostic and Services. Based on Deployment Mode, the market is segmented into On-Premises and Cloud. Based on Application, the market is segmented into Infrastructure Management, ITSM, 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 and Vulnerability Management. Based on Vertical, the market is segmented into BFSI, Retail & eCommerce, Transportation and Logistics, Government & Defense, Healthcare & Life Sciences, Telecom, Energy & Utilities, Manufacturing, IT/ITeS, Media & Entertainment and Other Verticals. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.
Analysis by Deployment
As per categorization by deployment, the market is classified as on-premises and cloud. Among these, cloud earned the largest share and continues to hold the dominant global AIOps market share. Cloud deployment is rapidly transforming the global AIOps market by enabling scalable, flexible, and cost-efficient solutions. With the correct use of cloud infrastructure, large data volumes are efficiently managed while incorporating AI-driven analytics as well as automating IT operations in real-time. Its superiority comes from increased collaboration, decreased operational expenses, and on-demand access to resources. Agile cloud infrastructure integrating well within the existing systems forms the suitable preference for companies, hence high AIOps adoption across industries.
On-premises deployment is expected to be the fastest-growing segment in the global AIOps market due to increasing concerns over data privacy, security, and regulatory compliance. Businesses, especially those in industries that heavily regulate matters of healthcare and finance, want to keep data on premises so they retain full control of sensitive data. Deployment on-premises also offers greater customization, better performance, and simpler integration with the existing IT infrastructure. With regards to preserving data sovereignty and minimizing exposure to potential cloud security risks, on-premises solutions are seen as a more reliable, secure, and compliant option, which drives growth in the AIOps landscape.
Analysis by Application
Application Performance Management (APM) is driving innovation in the global AIOps market by enabling real-time monitoring, optimization, and automation of application performance through AI and machine learning. APM tools enable organizations to detect and correct performance issues in advance, hence allowing for more efficient operations with better user experiences. Dominance of the market due to APM's ability to deliver deep insight into application behavior and reduce the number of system outages. Increasing reliance by business on cloud-based applications adds up to an array of reliability, scalability, and performance from the application itself. This means APM assumes the role in its adoption by being a leader in AIOps.
Infrastructure management is poised to be the fastest-growing segment in the global AIOps market due to the increasing complexity of modern IT environments, which require seamless integration of physical and virtual resources. As businesses scale their infrastructure, operational performance, availability, and reliability become critical management areas. AIOps applies the power of AI and machine learning to monitor and automate infrastructure management tasks, hence improving efficiency and minimizing downtime. The growth in this area of the market is pushed by higher demand for faster issue resolution, predictive maintenance, and enhanced scalability; organizations are increasingly looking to AIOps for proactive, data-driven solutions for infrastructure management, thereby supporting digital transformation initiatives.
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North America is dominating the global AIOps market due to its strong technological infrastructure, high adoption rates of cloud computing, and a robust ecosystem of IT service providers. The region is headquarters to leading providers of AIOps solutions along with major players in the technological industry, helping drive innovation through early adoption within IT operations of AI and ML. Growing demand for industries such as finance, healthcare, and retail in terms of efficiency, real-time analytics, and automation also spur the growth of the market. A highly skilled workforce and considerable investments in AI research and development make North America a leader in AIOps deployment.
Asia Pacific is the fastest-growing region in the global AIOps market due to rapid digital transformation, increasing cloud adoption, and a surge in IT infrastructure investments across industries. China, India, and Japan will adopt the future advanced technologies with AI and ML to optimize the IT operations. With an increased interest in automation within industries like manufacturing, finance, and retail in this region, AIOps solutions gain greater traction. The smart city development and adoption of IoT also hastened the requirement for intelligent and scalable IT management, and therefore Asia Pacific stands as one of the growth hubs in the global AIOps market outlook.
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Drivers
Increasing Complexity of IT Environments
Rising Demand for Real-Time Analytics
Restraints
Data Security and Privacy Concerns
High Implementation Costs
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The competitive landscape of the global AIOps market is marked by the presence of numerous established players offering advanced AI-driven solutions for IT operations. A few of the other leaders are IBM, Cisco Systems, Splunk, ServiceNow, and Broadcom, who use AI, machine learning, and automation to upgrade IT management. These companies continue to innovate to provide real-time monitoring, predictive analytics, and seamless integration with cloud and on-premisess systems, positioning them at the forefront in this rapidly growing AIOps space.
Top Player’s Company Profiles
Recent Developments
SkyQuest’s ABIRAW (Advanced Business Intelligence, Research & Analysis Wing) is our Business Information Services team that Collects, Collates, Correlates, and Analyses the Data collected by means of Primary Exploratory Research backed by robust Secondary Desk research.
As per SkyQuest analysis, the global AIOps industry is growing very fast, triggered by the rise in complexity within IT environments, along with increasing needs for automation. Organizations implement AI and ML-powered AIOps solutions in order to better enhance operational efficiency, reduce downtimes, and proactively fix IT issues. Cloud-based deployment of AIOps is a clear leader by offering scalability at affordable costs; on-premises deployment will also gain considerable ground in fields requiring data security and compliance.
North America is the leader in adoption, given its advanced technological landscape, while Asia Pacific is the fastest-growing region, driven by digital transformation and cloud adoption. As businesses continue to modernize their IT infrastructures, AIOps platforms will be instrumental in optimizing performance, streamlining operations, and driving long-term innovation across various industries.
| Report Metric | Details |
|---|---|
| Market size value in 2024 | USD 14.04 Billion |
| Market size value in 2033 | USD 78.62 Billion |
| Growth Rate | 21.1% |
| Base year | 2024 |
| Forecast period | 2026-2033 |
| Forecast Unit (Value) | USD Billion |
| Segments covered |
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| Regions covered | North America (US, Canada), Europe (Germany, France, United Kingdom, Italy, Spain, Rest of Europe), Asia Pacific (China, India, Japan, Rest of Asia-Pacific), Latin America (Brazil, Rest of Latin America), Middle East & Africa (South Africa, GCC Countries, Rest of MEA) |
| Companies covered |
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| Customization scope | Free report customization with purchase. Customization includes:-
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Table Of Content
Executive Summary
Market overview
Parent Market Analysis
Market overview
Market size
KEY MARKET INSIGHTS
COVID IMPACT
MARKET DYNAMICS & OUTLOOK
Market Size by Region
KEY COMPANY PROFILES
Methodology
For the AIOps 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 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.
Analyst Support
Customization Options
With the given market data, our dedicated team of analysts can offer you the following customization options are available for the AIOps Market:
Product Analysis: Product matrix, which offers a detailed comparison of the product portfolio of companies.
Regional Analysis: Further analysis of the AIOps 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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