Report ID:
SQMIG45D2109 |
Region:
Global |
Published Date: November, 2024
Pages:
192
|Tables:
0
|Figures:
0
Global AIOps Platform Market size was valued at USD 11.70 Billion in 2022 and is poised to grow from USD 14.36 Billion in 2023 to USD 60.11 Billion by 2031, growing at a CAGR of 22.7% in the forecast period (2024-2031).
The AIOps platform market is expected to grow because of the growth of remote work, as most workers prefer to stay at home. The average number of days US workers worked from home increased by 51% since January last year, to 2.37 in June, according to the World Economic Forum. AIOps usage has also increased because of the reason that as devices get more intelligent, networks have grown more complicated and data quantities have increased. Many processes are being pushed toward automation by the expanding usage of cloud computing on a worldwide scale. Demand for the AIOps platform is expected to rise as more companies move to the cloud. It has already started causing a stir in the IT Operations Management space. SaaS, as a delivery paradigm, has proven itself to be an effective platform for infrastructure monitoring and IT helpdesks. Most solutions usually involve cloud management from bought SaaS suppliers, log management, website and server monitoring, amongst others. On the other hand, one of the major hindrances which is restricting the growth of the market across the forecast period is a lack of awareness. Further, the growing adoption of automation technologies in businesses, at any small level is driving the adoption of AI-based platforms; however, this further increases the growth of the AIOps platform market.
Global Market Size
Largest Segment
Fastest Growth
Growth Rate
CAGR
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The Global AIOps Platform Market is segmented into offering, services, deployment mode, application, vertical, and region. By Offering, the market is classified into Platform, Domain-Centric, Monitoring-centric AIOps, and ITSM centric-AIOps. Depending on Services, it is categorized into Professional Services, Implementation Services, Licenses and Maintenance Services, and Training & Education Services. According to Deployment Mode, the market is divided into On-Premises, Cloud, Public Cloud, and Private Cloud. As per the Application, it is fragmented into Infrastructure Mangement, Anomaly Detection and Root Cause Analysis, Automated Incident Management, and Capacity Planning and Optimization. On the basis of Verticals, the market is segregated into BFSI, Retail & eCommerce, Transportation and Logistics, and Government & Defense. Regionally, it is studied across North America, Europe, Asia-Pacific, Middle East and Africa, and Latin America.
Analysis by Offerings
Monitoring-Centric AIOps solutions dominated the market. It focused on monitoring due to a heavy emphasis on the real-time collection of data and anomaly detection across diverse IT infrastructures, now top the industry. It analyzes massive sets of data about monitoring derived from different sources with the help of AI and machine learning; that helps companies predict outages and detect performance issues while improving operational efficiency. They appeal to businesses that want to optimize their IT operations because of their capacity to automate the response to issues, which saves time and ensures service dependability is enhanced. This trend is best exemplified in the services provided by the major vendors such as Splunk, Datadog, and New Relic, providing extensive monitoring features that allow rapid reaction by IT teams to newly arising difficulties in ever-changing settings.
The platform AIOps segment is expected to gain a significant position in the market. It brings together automation, analytics, monitoring, and incident management into one unified platform to deliver an all-encompassing approach for IT operations through AIOps solutions based on a platform-centric model. This all-in-one feature means that companies can reduce operational silos, improve team communication, and streamline their IT operations. These systems allow for data-driven decision-making with AI and ML capabilities in support, proving helpful for companies with resource allocation and improving service quality. Some of the leaders at the front of this trend are IBM Watson AIOps and ServiceNow, both offering solutions that match up to a wide range of requirements of IT settings. As the level of complexity increases, so will demand for such an all-inclusive solution.
Analysis by Deployment Mode
With the increased need for scalable, flexible, and cost-effective solutions among consumers, the cloud-based deployment segment is now dominating AIOps. Many companies are currently focusing on making use of the benefits offered by AIOps in the form of advanced real-time data analysis and easier system integration. IT teams can now create and develop service offerings more effectively and proactively solve operational difficulties. Major players, such as Datadog and Splunk, are intensely focusing on cloud services in order to meet ever-increasing demand and offer more feature-rich capabilities that leverage advanced analytics, incident management, and performance monitoring.
On the contrary, the on-premises deployment segment for AIOps will remain viable for companies that need strict security, regulatory, and data sovereignty. However, it lags the cloud alternatives in its development as companies take into account the extremely high overheads of installation and regular maintenance that characterize on-premises installations. A number of companies are being lured to cloud alternatives by the scalability and flexibility. However, despite this trend, the industries that call for greater control over data and IT systems-the nature of operation typically found in banking and government sectors-continue to opt for on-premises installations. This requirement guarantees that, even as alternatives in the cloud keep multiplying, on-premises solutions will still have their place in the AIOps environment.
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North America has now emerged as the leader for the AIOps platform market with huge technological businesses, robust investments into IT infrastructure, and a high priority of digital transformation. In the US, it is found to take precedence above the wide spread of industries including retail, healthcare, and finance. Business organizations more often apply AIOps as a way of elevating customers satisfaction, IT workflow efficiency, and enhanced operational efficiency. The domain has a stronger network of innovative AIOps companies, such as IBM, Splunk, and ServiceNow. These companies continually improve their products and services in research to meet an increased order for advanced analytics in IT operations.
Due to the rapid pace of digitalization and rise in IT infrastructures in most countries such as China, India, and Australia, Asia-Pacific has witnessed as the AIOps platform market that grows at the fastest pace. Businesses here are beginning to understand that to have a proper sense of the complexity of today's IT infrastructures, they need automation and advanced analytics. This growth is primarily attributed to an increase in the adoption of cloud technology along with the growth of data-based decision-making. Government initiatives to encourage technological innovation and rising demands for augmented operational efficiency across a wide range of industries have been fostering adoption of AIOps solutions.
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Drivers
Increasing Complexity in IT Systems
Growing Need for Efficiency and Automation
Restraints
Integration Issues with Legacy Systems
Data Security and Privacy Issues
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The competitive landscape of AIOps platform market is fragmented into established and newer players vie for control of the market through innovation. These are the industry giants such as IBM, Splunk, and ServiceNow offering large-scale solutions while niche functionalities and integration opportunities attract newer entrants. It has led to intense competition for AI and machine learning technology developing rapidly, and several products are now being created to cater to diverse consumer needs and preferences across industries.
Top Player’s Company Profile
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 using Primary Exploratory Research backed by robust Secondary Desk research.
As per SkyQuest analysis, the AIOps platform market is expected to grow significantly since organizations are looking for advanced means of dealing with the complexity of today's IT environments. The trend towards cloud computing, the rising usage of multi-cloud strategies, and the felt urgency on automation require AIOps platforms as an essential means of augmenting operational efficacy and elevating service provision. Nevertheless, most of the challenges such as integration with legacy systems and customer data protection will still be a concern for organizations. The competitive landscape evolves since there are big firms and emerging entrepreneurs still coming up with new ideas which results in a great variety of products to meet the various needs of different industries. AIOps will be an important factor in determining how IT operations and service management will be in the future.
Report Metric | Details |
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Market size value in 2022 | USD 11.70 Billion |
Market size value in 2031 | USD 60.11 Billion |
Growth Rate | 22.7% |
Base year | 2023 |
Forecast period | (2024-2031) |
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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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
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.
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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Report ID: SQMIG45D2109
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