The AIOps market size has shown exponential growth in recent years. It increased from $8.91 billion in 2024 to $11.16 billion in 2025, growing at a compound annual growth rate (CAGR) of 25.3%. The growth in this period was as a result of factors such as regulatory compliance requirements, adoption of containerization and microservices, emphasis on root cause analysis, a focus on cost optimization and efficiency, and enhanced user experience expectations.
The AIOps market size is predicted to witness exponential growth in the upcoming years. With an estimated growth to $32.56 billion in 2029 at a compound annual growth rate (CAGR) of 30.7%. The growth in the forecast period can be attributed to advances in containerization and microservices management, an ongoing increase in volume of alerts and false positives, and growth in adoption of agile and DevOps practices. Major trends in the forecast period include integration with DevOps practices, a focus on proactive problem resolution, enhanced user experience monitoring, advanced analytics for predictive insights, hybrid and multi-cloud management, and context-aware incident management.
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What is Driving the Growth of the AIOps Market?
The market growth for AIOps is being driven by the increasing adoption of artificial intelligence. Artificial intelligence (AI) is a replication of human intelligence programmed to think and act like humans. AI improves organizations in various ways, from boosting customer experiences to automating repetitive labor. AI collects and combines enormous and expanding amounts of data produced by IT infrastructure components, removing redundant data to identify occurrences and patterns associated with application availability and performance issues. This efficiency is causing organizations to adopt AI.
Which are the Major Market Segments in the AIOps Industry?
The AIOps market covered in this report is segmented as follows:
1) By Component: Platform, Services
2) By Organization Size: Small and Medium Enterprises, Large Enterprise
3) By Deployment Mode: On Premise, Cloud
4) By Application: Real-Time Analytics, Infrastructure Management, Network & Security Management, Application Performance Management, Other Applications
5) By End-Use: Banking, Financial Services, and Insurance (BFSI), Information Technology (IT) & Telecom, Healthcare, Retail, Government, Manufacturing, Media & entertainment, Other End Users
Who are the Major Players in the AIOps Market?
Major companies operating in the AIOps market include BMC Software Inc, IBM Corporation, Moogsoft Inc, Splunk Inc, Appdynamics LLC (Cisco Systems Inc), Sumo Logic Inc., Dynatrace LLC, Extrahop Networks Inc., New Relic Inc., Resolve Systems LLC, Stackstate BV, CA Technologies, Micro Focus International plc, Dell Inc., Broadcom Inc., ScienceLogic, Correlata Solutions, Loom Systems, OpsRamp Inc., PagerDuty Inc., BigPanda Inc., Datadog Inc., Elastic N. V., LogicMonitor Inc., Zoho Corporation, Netreo Inc., Atlassian Corporation Plc, Opsview Ltd., Microsoft Azure AI, Google LLC.
What are the Emerging Trends in the AIOps Market?
Strategic partnerships are emerging as a key trend in the AIOps market. Companies in the AIOps sector are focusing on strategic partnerships to expand their new product development activities and penetrate into new markets. For instance, in April 2023, IBM Consulting partnered with CloudFabrix, a US-based data-centric AIOps platform provider. This partnership aims to help clients execute next-generation IT operations use cases such as enterprise-wide observability, composable in-place search, and asset intelligence analytics by unifying data, AI, and automation.
Which Region will Witness Rapid Growth in the AIOps Market?
North America was the largest region in the AIOps market in 2024. The fastest-growing region expected in the forecast period is Asia-Pacific. The regions covered in the AIOps market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
What Does The AIOps Market Report 2025 Offer?
AIOps refer to artificial intelligence for IT operations, which uses natural language processing and machine learning models to simplify and automate operational processes. This is particularly useful for large enterprises that generate massive amounts of log and performance data for monitoring assets and gaining visibility into dependencies within and outside of IT systems. The AIOps Market research report from The Business Research Company offers global market size, growth rate, regional shares, competitor analysis, detailed segments, trends, and opportunities.
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