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Artificial Intelligence (AI) In Information Technology (IT) Operations Market Revenue Outlook: What CAGR Lies Ahead Through 2030?
The artificial intelligence (AI) in information technology (IT) operations market size has experienced significant expansion in recent years. Its valuation is projected to increase from $13.56 billion in 2025 to $16.65 billion in 2026, exhibiting a compound annual growth rate (CAGR) of 22.7%. This historical progression can be attributed to factors such as the heightened adoption of AI-powered IT monitoring, an escalating requirement for automated incident detection, the increasing complexity of IT infrastructure, a greater need for more rapid issue resolution, and the expanding volume of operational IT data.
The artificial intelligence (AI) in information technology (IT) operations market is projected to experience substantial growth over the coming years. It is anticipated to reach a valuation of $37.27 billion by 2030, exhibiting a compound annual growth rate (CAGR) of 22.3%. Factors contributing to this expansion during the forecast timeframe include a heightened demand for autonomous IT operations, a growing requirement for predictive system performance management, wider acceptance of AI-powered root cause analysis, an increasing need for intelligent IT resource optimization, and an intensified focus on automated remediation capabilities. Key trends expected during this period encompass predictive IT incident management, automated root cause analysis, intelligent IT capacity optimization, AI-driven IT service management, and autonomous IT remediation.
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Artificial Intelligence (AI) In Information Technology (IT) Operations Market Industry Drivers: What’s Behind The Revenue Growth?
The increasing embrace of cloud computing is projected to stimulate expansion within the artificial intelligence (AI) in information technology (IT) operations market. Cloud computing represents the on-demand provision of computing assets, including servers, storage, databases, networking, software, and analytics, accessible flexibly and scalably over the internet. Its uptake is accelerating due to the availability of economical IT infrastructure, allowing organizations to decrease initial investments in hardware, data centers, and maintenance. This is achieved by utilizing scalable, pay-as-you-go cloud services, which in turn enhances operational effectiveness and resource utilization. For AI in IT operations, cloud computing provides essential scalable resources and intelligent capabilities, thereby improving automation, data analysis, decision-making, and service efficiency. A pertinent illustration comes from June 2026, when Eurostat, the official statistical office of the European Union located in Luxembourg, reported that the proportion of enterprises employing paid cloud computing services in the European Union (EU) climbed by 7.42 percentage points in 2025 compared to 2023. Thus, the expanding adoption of cloud computing is a key driver for the growth of the artificial intelligence (AI) in information technology (IT) operations market.
Artificial Intelligence (AI) In Information Technology (IT) Operations Market Segmentation: How Does The Market Break Down By Category?
The artificial intelligence (AI) in information technology (IT) operations market covered in this report is segmented –
1) By Component: Platform, Services
2) By Deployment Mode: Cloud-Based, On-Premises
3) By Organization Size: Small And Medium Sized Enterprises, Large Enterprises
4) By Application: Real Time Analytics, Application Performance Monitoring, Infrastructure Management, Network And Security Management, Root Cause Analysis, Other Applications
5) By Industry Vertical: Banking, Financial Services, And Insurance, Information Technology And Telecommunications, Healthcare And Life Sciences, Retail And E Commerce, Manufacturing, Government And Public Sector, Energy And Utilities, Media And Entertainment, Transportation And Logistics, Other Industry Verticals
Subsegments:
1) By Platform: Artificial Intelligence Monitoring Platforms, Artificial Intelligence Analytics Platforms, Artificial Intelligence Automation Platforms, Artificial Intelligence Incident Management Platforms, Artificial Intelligence Performance Management Platforms
2) By Services: Consulting Services, Implementation Services, Integration Services, Managed Services, Support And Maintenance Services
#Artificial Intelligence (AI) In Information Technology (IT) Operations Market Growth Trends: What’s Shaping The Future Outlook?
Major companies operating in the artificial intelligence (AI) in information technology (IT) operations market are concentrating on developing innovative solutions, such as AI agent-based security operations platforms, to enhance cybersecurity automation, improve incident detection, increase threat response efficiency, and strengthen IT operational resilience. These AI agent-based security operations platforms are sophisticated AI-driven systems that utilize autonomous intelligent agents to analyze security data, investigate threats, correlate evidence, automate response actions, and assist human analysts in managing cybersecurity incidents, thus enabling faster decision-making and improved operational efficiency compared with traditional manual security operations processes. For instance, in July 2026, Smarttech247, an Ireland-based cybersecurity company, introduced an agentic security operations centre (SOC) capability within its VisionX platform, designed for Microsoft security environments. This platform combines AI agents with human security analysts to manage the complete cybersecurity incident lifecycle, covering threat detection, investigation, evidence correlation, timeline creation, hypothesis testing, and remediation support. It provides real-time incident visibility, automated containment through pre-approved response actions, and maintains a detailed audit trail of security activities. The solution integrates signals from Microsoft security environments, including Microsoft Sentinel, Defender for Endpoint, Cloud, Identity, and Email, assisting organizations across regulated industries such as financial services, healthcare, aviation, manufacturing, and retail in improving cyber resilience and accelerating security operations.
Artificial Intelligence (AI) In Information Technology (IT) Operations Market Leading Players And Competitive Positioning
Major companies operating in the artificial intelligence (AI) in information technology (IT) operations market are Microsoft Corporation, Cisco Systems Inc, Broadcom Inc, International Business Machines Corporation, Hewlett Packard Enterprise Company, ServiceNow Inc, Dell Technologies Inc, HCL Technologies Limited, Open Text Corporation, Atlassian Corporation, SolarWinds Corporation, Dynatrace Inc, Datadog Inc, Elastic N V, PagerDuty Inc, Grafana Labs Inc, ScienceLogic Inc, LogicMonitor Inc, BigPanda Inc, Zabbix LLC, Coroot Inc
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Artificial Intelligence (AI) In Information Technology (IT) Operations Market Regional Distribution: Which Areas Power Market Growth?
North America was the largest region in the artificial intelligence (AI) in information technology (IT) operations market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence (AI) in information technology (IT) operations 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.