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Artificial Intelligence For IT Operations Platform Market Value Analysis: What Growth Is Expected Over The Forecast Period?
The artificial intelligence for it operations platform market has experienced substantial expansion in recent years. This market is expected to increase from $17.94 billion in 2025 to $21.93 billion in 2026, achieving a compound annual growth rate (CAGR) of 22.3%. The historical growth can be linked to the escalating complexity of IT infrastructure, a rising demand for real-time monitoring, the inefficiency of manual IT operations, the adoption of cloud computing, and the expansion of enterprise data.
The market size for artificial intelligence for IT operations platforms is anticipated to experience substantial growth in the upcoming years. It is projected to reach $49.11 billion by 2030, growing at a compound annual growth rate (CAGR) of 22.3%. This expansion during the forecast period is attributed to several factors, including the integration of AI and machine learning into IT operations, the proliferation of cloud-native platforms, the increasing demand for proactive incident management, the expansion of hybrid IT environments, and the adoption of IT automation in emerging markets. Key trends expected in this period encompass predictive IT operations, automated incident response, IT cost optimization, performance monitoring and analytics, and cloud-native IT management.
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Artificial Intelligence For IT Operations Platform Market Expansion Drivers: What Is Shaping Future Growth?
The increasing integration of cloud-based infrastructure within the IT sector is anticipated to spur the expansion of the artificial intelligence for IT operations platform market in the coming period. Cloud-based infrastructure pertains to computing assets, such as servers and storage, that are delivered and managed online through cloud services. These platforms augment artificial intelligence for IT operations (AIOps) by offering scalable infrastructure, facilitating smooth data storage, and enabling real-time analytics to optimize and automate various IT functions. For example, in December 2023, the European Commission (EC), an executive body of the European Union (EU) situated in Belgium, revealed that the utilization of cloud-based solutions across the European Union rose by 4.2% in 2023. This included 45.2% of enterprises procuring cloud computing services, with figures reaching 79% in the information and communication sector and 77.6% in large enterprises, demonstrating a notable increase compared to 2021. Thus, the swift embrace of cloud-based infrastructure in the IT sector is indeed propelling the growth of the artificial intelligence for IT operations platform market.
Artificial Intelligence For IT Operations Platform Market Segment Landscape: Which Areas Lead Market Development?
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 Growth Trends Influencing Competitive Dynamics
Major companies operating in the artificial intelligence for IT operations platform market are intensifying their efforts to launch artificial intelligence platforms, like EY.AI, to gain a competitive advantage. Artificial intelligence (AI) platforms are comprehensive software solutions that utilize advanced processing capabilities, data analytics, and machine learning algorithms to enable the development, deployment, and management of AI applications and services. For instance, in September 2023, Ernst & Young, a UK-based legal firm, introduced EY.ai, an artificial intelligence (AI) platform for IT operations aimed at leveraging AI to assist organizations in transforming their IT operations. The platform seeks to integrate human capabilities with artificial intelligence to help EY clients confidently and responsibly adopt AI for business transformation. EY.AI incorporates state-of-the-art EY technology platforms and AI capabilities, alongside a strong AI ecosystem, to enhance its extensive expertise in strategy, transactions, transformation, risk, assurance, and tax.
Artificial Intelligence For IT Operations Platform Market Industry Leaders And Market Competition
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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Artificial Intelligence For IT Operations Platform Market Global Footprint: Which Region Holds Market Leadership?
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.