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Artificial Intelligence For IT Operations Platform Market Historical Growth Vs. Forecast Growth: How Do The Numbers Compare?
The artificial intelligence for it operations platform market has witnessed substantial expansion in recent years. This market is expected to expand from $17.94 billion in 2025 to $21.93 billion in 2026, reflecting a compound annual growth rate (CAGR) of 22.3%. Historically, the market’s growth can be attributed to the rising complexity of IT infrastructure, an increasing requirement for real-time monitoring, the inefficiencies inherent in manual IT operations, the growing adoption of cloud computing, and the expansion of enterprise data.
The artificial intelligence for IT operations platform market size is projected to undergo substantial growth over the next few years. This market is predicted to reach $49.11 billion by 2030, exhibiting a compound annual growth rate (CAGR) of 22.3%. Factors contributing to this growth during the forecast period include the integration of AI and ML in IT operations, the broadening of cloud-native platforms, an increasing need for proactive incident management, the proliferation of hybrid IT environments, and the uptake of IT automation in developing markets. Key trends anticipated within the forecast timeframe encompass predictive IT operations, automated incident response, IT cost optimization, performance monitoring & analytics, and cloud-native IT management.
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The Leading Growth Driver In The Artificial Intelligence For IT Operations Platform Market Explained
The swift uptake of cloud-based infrastructure within the IT sector is anticipated to drive the expansion of the artificial intelligence for IT operations platform market moving forward. Cloud-based infrastructure pertains to computing resources, such as servers and storage, that are delivered and managed over the internet via cloud services. These cloud-based platforms enhance artificial intelligence for IT operations (AIOps) capabilities by providing scalable infrastructure, facilitating seamless data storage, and enabling real-time analytics for the optimization and automation of IT operations. As an illustration, in December 2023, information from the European Commission (EC), a Belgium-based executive body of the European Union (EU), revealed that the adoption of cloud-based solutions in 2023 within the European Union rose by 4.2%. This meant 45.2% of enterprises were acquiring cloud computing services, with 79% in the information and communication sector and 77.6% in large enterprises, indicating a notable increase compared to 2021. Thus, the widespread adoption of cloud-based infrastructure in the IT sector is a primary force behind the growth of the artificial intelligence for IT operations platform market.
Key Segments Shaping The Artificial Intelligence For IT Operations Platform Market Landscape
The artificial intelligence for it operations platform market covered in this report is segmented –
1) By Type: Software, Service
2) By Technology: Natural Language Processing (NLP), Machine Learning (ML), Context-Aware Computing
3) By Deployment Model: Cloud, On-Premises
4) By Organization Size: Small And Medium Enterprises (SMEs), Large Enterprises
5) By Application: IT Infrastructure, Application Performance Monitoring (APM), Real-Time Analytics, Network Security
Subsegments:
1) By Software: Cloud-Based AIOps Software, On-Premises AIOps Software
2) By Service: Professional Services, Managed Services
Artificial Intelligence For IT Operations Platform Market Trend Spotlight: Key Shifts Shaping Future Demand
Major players in the artificial intelligence for IT operations platform market are intensifying their efforts to introduce advanced artificial intelligence platforms, like EY.AI, to secure a competitive advantage. Artificial intelligence (AI) platforms function as integrated software solutions that harness sophisticated processing capabilities, data analytics, and machine learning algorithms to facilitate the creation, deployment, and management of AI applications and services. A notable example occurred in September 2023 when Ernst & Young, a UK-based law company, unveiled EY.ai. This artificial intelligence (AI) platform for IT operations is crafted to utilize AI’s potential in helping organizations revolutionize their IT operations. Its aim is to blend human expertise with artificial intelligence, thereby assisting EY clients in confidently and responsibly adopting AI to transform their businesses. EY.AI incorporates state-of-the-art EY technology platforms and AI capabilities, supported by a robust AI ecosystem, to enhance its extensive experience in strategy, transactions, transformation, risk, assurance, and tax.
Artificial Intelligence For IT Operations Platform Market Competitive Analysis: Who Are The Main Competitors?
Major companies operating in the artificial intelligence for it operations platform market are Google (Alphabet Inc.); Microsoft Corporation; IBM Corporation; Broadcom Inc.; VMware Inc.; HCL Technologies Limited; ServiceNow Inc.; Splunk Inc.; BMC Software Inc.; Micro Focus International plc; Dynatrace Inc.; Sumo Logic Inc.; AppDynamics; Resolve Systems LLC; Big Panda Inc.; FixStream Network Inc.; Moogsoft Inc.; Cisco Systems Inc.; Elastic N.V.; New Relic Inc.; PagerDuty Inc.; ScienceLogic Inc.
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Mapping The Artificial Intelligence For IT Operations Platform Market: Regional Leadership And Global Reach
North America was the largest region in the artificial intelligence for IT operations platform market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence for it operations platform market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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Wasay has over a decade of experience in market research, data modelling, and analytics, with prior experience at GlobalData and Decision Tree Consulting Services. At The Business Research Company , he leads research operations across syndicated studies, customized consulting engagements, and the Global Market Model platform. His professional experience includes supporting organizations such as Boston Consulting Group, KPMG, and Ernst & Young. Wasay holds a degree in Electronics and Communications Engineering, postgraduate management qualifications from International Management Institute Belgium and Indian School of Business and Entrepreneurship, and completed the Integrated Program in Business Analytics from Indian Institute of Management Indore.
