The global AI Security Operations Center market is projected to surge from $18.10 billion in 2026 to $47.07 billion by 2031, according to a new report by MarketsandMarkets.
The forecast represents a compound annual growth rate of 21.1% over the five-year period, reflecting rapid expansion across enterprise and government security infrastructure.
Rising adoption of cloud-native, SaaS, endpoint, and identity environments is driving demand for AI-powered SOC solutions that can unify security data and improve threat correlation.
Automation, behavioral analytics, and agentic AI are further enhancing detection and response capabilities, reducing the burden on security teams managing growing data volumes.
Microsoft (NASDAQ: MSFT), Cisco (NASDAQ: CSCO), CrowdStrike (NASDAQ: CRWD), Palo Alto Networks (NASDAQ: PANW), and Google (NASDAQ: GOOG) are among the key players identified in the report’s competitive landscape.
North America holds the largest regional share of the market, supported by a mature cybersecurity ecosystem, leading technology providers, and hyperscale cloud infrastructure.
Asia Pacific is identified as the fastest-growing region, reflecting increasing enterprise investment in security operations modernization across the region.
US government initiatives, including the Executive Order on Promoting Advanced Artificial Intelligence Innovation and Security and the Gold Eagle initiative, are supporting secure AI adoption domestically.
The threat detection and monitoring segment is expected to hold the largest market share by application, as organizations seek continuous visibility across distributed IT environments.
AI-powered behavioral analytics and intelligent threat correlation are helping security teams reduce alert fatigue and prioritize high-impact incidents more effectively.
Small and medium-sized enterprises are expected to register the highest growth rate by organization size, driven by rising cyber risks and limited internal security expertise.
Cloud-delivered and subscription-based SOC solutions are making advanced capabilities more accessible to SMEs that lack the resources for significant infrastructure investments.
The convergence of SIEM, XDR, SOAR, and behavioral analytics into unified security operations platforms represents one of the most significant structural shifts identified in the report.
Growing use of agentic AI and AI SOC agents to automate security workflows is also emerging as a defining trend, enabling faster and more consistent incident response across organizations of all sizes.
