Artificial Intelligence For IT Operations Platform Market
Market Size and Growth
Artificial Intelligence for IT Operations Platform Market reached US$1.59 billion in 2024 and is expected to reach US$8.59 billion by 2032, growing with a CAGR of 23.48% during the forecast period 2025-2032, according to DataM Intelligence report.
Key Development:
United States:
✅ In August 2025, Riverbed launched a next-generation AIOps platform, enhancing its observability suite with predictive, agentic, and generative AI capabilities. The platform introduces Riverbed IQ Assist, leveraging generative AI for contextual diagnostics and remediation guidance.
✅ In July 2025, ServiceNow’s stock received an upgrade to “overweight” from Morgan Stanley, citing a strong outlook on the company’s adoption of generative artificial intelligence (GenAI). ServiceNow is enhancing its offerings with autonomous, goal-driven AI agents, expanding into HR, security, and customer service solutions.
✅ In June 2025, OpenAI, Oracle, and SoftBank jointly announced the construction of five new AI data centers under their government-supported Stargate venture. This expansion aims to build out AI infrastructure across the U.S., with plans to invest $500 billion over four years to create 10 gigawatts of AI capacity.
Japan:
✅ In July 2025, OpenText’s AI Operations Management (Operations Bridge) was recognized as a leading AIOps platform for 2025 and beyond. The platform offers features such as natural language queries, AI-generated troubleshooting suggestions, and automated access to relevant knowledge base articles, enhancing IT operations efficiency.
✅ In June 2025, Japan’s Ministry of Economy, Trade, and Industry (METI) announced a $200 million initiative to support the development of AI-driven IT operations platforms. This investment aims to foster innovation and adoption of AIOps technologies across various industries in Japan.
✅ In May 2025, Fujitsu unveiled a new AIOps platform designed to optimize IT operations through predictive analytics and automated incident management. The platform integrates with existing IT infrastructure to provide real-time insights and enhance operational efficiency.
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AIOps Platforms leverage artificial intelligence and machine learning to automate, monitor, and optimize IT operations. They analyze large volumes of data from IT infrastructure, detect anomalies, predict issues, and streamline incident response, enhancing system reliability, efficiency, and decision-making across enterprises.
Recent Mergers and Acquisitions :
United States:
✅ In August 2025, Thoma Bravo announced plans to acquire Verint Systems in a $2 billion deal. Verint, known for its AI-powered customer engagement platform, will bolster Thoma Bravo’s portfolio in AI-driven customer experience automation technologies.
✅ In May 2025, Elastic completed its acquisition of Keep Alerting Ltd, an open-source AIOps company. This strategic move aims to enhance Elastic’s observability and incident remediation capabilities, integrating Keep’s unified alerting and automation features into Elastic’s Search AI platform.
✅ In March 2025, CoreWeave acquired AI platform developer Weights & Biases for approximately $1.7 billion. This acquisition strengthens CoreWeave’s position in the AI infrastructure space, enabling enhanced machine learning model tracking and collaboration tools for developers.
Japan:
✅ In June 2025, Abacus Group acquired MSSP Entara, expanding its offerings in ServiceNow, cybersecurity, and incident response expertise. This acquisition enhances Abacus Group’s capabilities in providing comprehensive IT operations solutions.
Europe:
✅ In September 2025, Check Point announced its acquisition of Lakera, an AI-native security platform. This strategic move aims to enhance Check Point’s enterprise AI security capabilities, providing organizations with a comprehensive AI security stack to protect against increasing reliance on large language models (LLMs), generative AI, and autonomous agents. The deal is expected to close in Q4 2025.
✅ In May 2025, Salesforce announced plans to acquire data management platform Informatica for approximately $8 billion. This acquisition aims to bolster Salesforce’s capabilities in data management, a critical element as the company integrates generative AI across its suite of business tools. Informatica’s addition will help Salesforce enhance AI functionalities such as its Agentforce platform, enabling businesses to automate tasks through virtual AI agents.
✅ In March 2025, Thoma Bravo announced plans to acquire Verint Systems in a $2 billion deal. Verint, known for its AI-powered customer engagement platform, will bolster Thoma Bravo’s portfolio in AI-driven customer experience automation technologies.
Middle East & Africa:
✅ In September 2025, Ansarada expanded into the Middle East, leveraging cutting-edge virtual data room technology to drive regional growth and address evolving customer demands for smarter deal execution.
✅ In August 2025, the Middle East recorded 271 M&A deals in the first half of 2025, representing a 19% increase from the previous year. This growth trajectory stands in contrast to global trends, as worldwide deal activity declined by 9% during the same period.
✅ In May 2025, PwC’s Global M&A Industry Trends report indicated that sectors like technology, aerospace and defense, and financial services saw higher deal values in 2024, driven by an uptick in megadeal activity. This growth follows a period of declining global deal volumes, which fell 17% from 57,670 deals in 2023 to 47,178 in 2024.
Key Players:
=> APPDYNAMICS, BMC Software, Inc., Broadcom Inc., HCL Technologies Limited, IBM Corporation, Micro Focus International plc, Dell Inc., ProphetStor Data Services, Inc., Splunk LLC and Thales.
Growth Forecast Projected:
The Global Artificial Intelligence For IT Operations Platform Market is anticipated to rise at a considerable rate during the forecast period, between 2025 and 2032. In 2024, the market is growing at a steady rate, and with the rising adoption of strategies by key players, the market is expected to rise over the projected horizon.
Research Process:
Both primary and secondary data sources have been used in the global Artificial Intelligence For IT Operations Platform Market research report. During the research process, a wide range of industry-affecting factors are examined, including governmental regulations, market conditions, competitive levels, historical data, market situation, technological advancements, upcoming developments, in related businesses, as well as market volatility, prospects, potential barriers, and challenges.
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Key Segments:
➥ By Offering: Platform, Domain-Centric, Domain-Agnostic, Services
➥ By Application: Infrastructure Management, Application Performance Analysis, Real-Time Analytics, Network & Security Management, Others
➥ By Deployment: Cloud, On-premises
➥ By Organization Size: Large Enterprises, SMEs
➥ By End-User: IT & Telecom, Retail & E-Commerce, Energy & Utilities, Media & Entertainment, BFSI, Healthcare & Life Sciences, Government & Defense, Transportation and Logistics, Manufacturing, Others
Regional Analysis for Artificial Intelligence For IT Operations Platform Market:
⇥ North America (U.S., Canada, Mexico)
⇥ Europe (U.K., Italy, Germany, Russia, France, Spain, The Netherlands and Rest of Europe)
⇥ Asia-Pacific (India, Japan, China, South Korea, Australia, Indonesia Rest of Asia Pacific)
⇥ South America (Colombia, Brazil, Argentina, Rest of South America)
⇥ Middle East & Africa (Saudi Arabia, U.A.E., South Africa, Rest of Middle East & Africa)
Benefits of the Report:
Chapter 1: Sets the stage by outlining the report’s coverage, summarizing key market segments by region, product type, and application. Presents a snapshot of market sizes, growth potential across segments, and anticipated industry evolution both short and long term.
Chapter 2: Highlights pivotal market insights and uncovers the most significant emerging trends driving change within the industry.
Chapter 3: Offers an in-depth look at the competitive landscape among Artificial Intelligence For IT Operations Platform producers, including revenue shares, strategic moves, and recent mergers and acquisitions.
Chapter 4: Presents comprehensive profiles of the market’s key players, delving into details such as revenue, profit margins, product portfolios, and company milestones.
Chapters 5 & 6: Analyze Artificial Intelligence For IT Operations Platform revenue at both regional and country levels, providing quantitative breakdowns of market sizes, growth opportunities, and development prospects worldwide.
Chapter 7: Focuses on different market segments by type, examining their individual sizes and potential, guiding readers toward high-impact, untapped market areas.
Chapter 8: Explores segmentation by application, evaluating industry growth potential in various downstream markets and pinpointing promising sectors for expansion.
Chapter 9: Provides a thorough review of the industry’s supply chain mapping out both upstream and downstream activities.
Chapter 10: Concludes with a summary of the report’s key findings and highlights the most critical takeaways for industry stakeholders.
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FAQ
What is the current size of the Artificial Intelligence For IT Operations Platform Market?
A: In 2024, the Artificial Intelligence For IT Operations Platform Market was valued at US$1.59 billion , reflecting its strong industry presence.
Q2: How large is the Artificial Intelligence For IT Operations Platform Market expected to be by 2032?
A: By 2032, industry forecasts suggest the Artificial Intelligence For IT Operations Platform Market will grow to around US$8.59 billion , demonstrating significant expansion.
Q3: What is the growth rate of the Artificial Intelligence For IT Operations Platform Market?
A: The market is projected to expand at a compound annual growth rate (CAGR) of 23.48% during the forecast period from 2025 to 2032.
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