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Artificial Intelligence For IT Operations Platform Market Size Forecast: How Big Could The Market Get By 2030?
The artificial intelligence for it operations platform market size has experienced substantial expansion in recent years. It is anticipated to increase from $17.94 billion in 2025 to $21.93 billion in 2026, demonstrating a compound annual growth rate (CAGR) of 22.3%. This historical growth can be linked to the growing complexity of IT infrastructure, the escalating need for real-time monitoring, the inherent inefficiencies of manual IT operations, the widespread integration of cloud computing, and the rising volume of enterprise data.
The artificial intelligence for it operations platform market is anticipated to experience substantial growth over the coming years, projected to reach $49.11 billion by 2030, exhibiting a compound annual growth rate (CAGR) of 22.3%. This expansion during the forecast period is primarily driven by factors such as the incorporation of AI and ML into IT operations, the broadening of cloud-native platforms, the need for proactive incident management, the rise of hybrid IT environments, and the increasing adoption of IT automation in developing economies. Key developments expected within this period include predictive IT operations, automated incident response, optimization of IT costs, advanced performance monitoring and analytics, and comprehensive cloud-native IT management.
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Artificial Intelligence For IT Operations Platform Market Expansion Drivers: What’s Shaping Future Growth?
The burgeoning uptake of cloud-based infrastructure within the IT domain is projected to fuel expansion in the artificial intelligence for IT operations platform market. This infrastructure encompasses computing resources like servers and storage, which are provisioned and administered via the internet using cloud services. Cloud-based platforms bolster artificial intelligence for IT operations (AIOps) capabilities by offering scalable underlying infrastructure, enabling efficient data storage, and supporting real-time analytical processes for streamlining and automating IT operations. As an illustrative example, in December 2023, data from the European Commission (EC), the Belgium-based executive body of the European Union (EU), indicated a 4.2% rise in cloud-based solution adoption within the European Union in 2023. This saw 45.2% of enterprises acquiring cloud computing services, with this figure reaching 79% in the information and communication sector and 77.6% among large enterprises, signifying a considerable increase from 2021. Consequently, the swift integration of cloud-based infrastructure across the IT sector serves as a key impetus for the expansion of the artificial intelligence for IT operations platform market.
Artificial Intelligence For IT Operations Platform Market Breakdown By Product Type And Application
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 Strategic Trends: What Defines The Next Growth Phase?
Leading firms within the artificial intelligence for IT operations platform market are intensifying their efforts to launch new artificial intelligence platforms, such as EY.AI, seeking a competitive advantage. These AI platforms constitute integrated software offerings that leverage sophisticated processing abilities, data analysis, and machine learning algorithms to facilitate the creation, implementation, and administration of AI services and applications. As an illustration, in September 2023, Ernst & Young, a UK-based legal entity, introduced EY.ai, its own artificial intelligence platform for IT operations, specifically designed to harness AI’s power to assist companies in transforming their IT functions. This platform intends to merge human expertise with artificial intelligence, empowering EY’s clientele to confidently and responsibly embrace AI for evolving their businesses. Furthermore, EY.ai incorporates advanced EY technology platforms and AI functionalities, supported by a robust AI ecosystem, thereby enhancing the firm’s extensive background in areas such as strategy, transactions, transformation, risk management, assurance, and taxation.
Artificial Intelligence For IT Operations Platform Market Company Landscape And Competitive Strategy
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 Regional Breakdown: Where Is Demand Concentrated?
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.
