AI Security Operations Center (SOC) Market
AI Security Operations Center (SOC) Market by Software Platform (AI-native SOC, AI SOC Agents, Security Data Platforms), Services (AI-augmented MDR, AI SOC-as-a-Service, Incident Response & Forensics), Application, Vertical - Global Forecast to 2031
OVERVIEW
Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis
The AI security operations center (SOC) market is projected to reach USD 47.07 billion by 2031 from USD 18.10 billion in 2026, at a CAGR of 21.1% during the forecast period. Market growth is being spurred by the rapid adoption of AI SOCs as organizations face increasingly sophisticated cyber threats, growing alert volumes, and persistent cybersecurity talent shortages. Companies are now beginning to deploy AI to streamline investigations, fast-track threats or benefit from automated response tasks. This allows security teams to be more efficient in their operations, bolster their cyber resilience, and effectively secure complex hybrid and multi-cloud environments.
KEY TAKEAWAYS
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BY REGIONNorth America accounted for the largest share of 41.5% of the AI SOC market in 2026.
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BY OFFERINGBy offering, the software platforms segment is expected to dominate the market in 2026.
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BY SOFTWARE PLATFORMBy software platform, the AI-enabled detection & analytics platforms segment will hold the largest market size during the forecast period.
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BY SERVICEBy service, the AI-augmented managed detection & response (MDR) services segment will hold the largest market size during the forecast period.
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BY ORGANIZATION SIZEBy organization size, the SMEs segment is projected to grow at the highest rate, at a CAGR of 19.7%.
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BY APPLICATIONBy application, the incident investigation & analysis segment is expected to grow the fastest at a CAGR of 18.8%.
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BY VERTICALBy vertical, the energy & utilities segment will grow at the highest CAGR of 18.6% during the forecast period.
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COMPETITIVE LANDSCAPE - KEY PLAYERSThe key players in the AI SOC market include Microsoft, Cisco, CrowdStrike, and Palo Alto Networks, which provide full-featured AI-native security platforms that include AI-powered SIEM, XDR, agentic AI, threat intelligence, automation and managed security services, and support enterprise SOC modernization.
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COMPETITIVE LANDSCAPE - STARTUPS/SMEsGruve, Prophet Security, and Anvilogic are emerging AI SOC innovators, delivering AI-native SOC platforms with agentic AI, autonomous investigations, intelligent detection, and security operations automation, enabling enterprises to modernize SOCs with scalable, AI-driven security capabilities.
AI SOC platforms help organizations to identify, investigate, and respond to cyber threats faster, more accurately, and effectively. These platforms improve cyber resilience, accelerate incident response, minimize alert fatigue, and assist security teams with the protection of increasingly complex enterprise environments in the cloud, hybrid, and AI.
TRENDS & DISRUPTIONS IMPACTING CUSTOMERS' CUSTOMERS
The AI SOC market is evolving from conventional, analyst-driven security operations to autonomous, AI-native security platforms that deliver continuous threat detection, intelligent investigation, and automated response across enterprise environments. Increasing adoption across the BFSI, healthcare & life sciences, and manufacturing sectors is accelerating market growth as organizations strengthen cyber resilience, secure expanding digital infrastructures, and protect critical assets against increasingly sophisticated AI-powered cyber threats. Meanwhile, advances in agentic AI, security automation, and unified security operations platforms continue to drive enterprise adoption and SOC modernization.
Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis
MARKET DYNAMICS
Level
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Rising AI-powered cyber threats
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Increasing adoption of cloud, hybrid, and identity-centric infrastructures
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Limited trust in autonomous AI decision-making
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Evolving AI governance and regulatory landscape
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AI SOC adoption among small and medium-sized enterprises (SMEs)
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AI security for agentic and generative AI environments
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Ensuring accuracy and reliability of AI-generated security decisions
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Addressing AI model security and adversarial threats
Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis
Driver: Rising AI-powered cyber threats
AI-powered cyberattacks are growing in volume, causing a growing need for platforms that enable AI SOC teams to detect and respond to today's more advanced attacks. Organizations must implement AI-based security operations to provide rapid detection, smart investigations, and action-on-the-go responses in today's complicated business landscape, while adversaries exploit generative AI to automate their phishing, malware creation, and reconnaissance.
Restraint: Limited trust in autonomous AI decision-making
While AI is improving by leaps and bounds, many companies are hesitant about leaving security entirely in the hands of AI because of concerns like false positives, wrong recommendations, lack of explainability and unwanted business disruption. This means that enterprises are still focused on human oversight for high-impact security decisions, resulting in a slow pace of adoption for fully autonomous AI SOC capabilities.
Opportunity: AI SOC adoption among small and medium-sized enterprises (SMEs)
AI SOC adoption is expected to rise among SMEs given the growing risks in the cyber landscape, lack of cybersecurity resources, and accelerating digital transformation. Cloud-based, subscription-driven AI SOC platforms enable smaller organizations to access enterprise-grade threat detection, automated investigations, and continuous security monitoring without the cost and complexity of building dedicated in-house security operations.
Challenge: Ensuring accuracy and reliability of AI-generated security decisions
The accuracy and reliability of AI-generated security decisions are crucial hurdles in AI SOC adoption. In automated security operations, the model may misinterpret complex attack patterns, make wrong recommendations, or miss contextual factors, and maintaining trust in the model requires ongoing monitoring, high-quality training data, and human interpretation.
AI SECURITY OPERATIONS CENTER (SOC) MARKET: COMMERCIAL USE CASES ACROSS INDUSTRIES
| COMPANY | USE CASE DESCRIPTION | BENEFITS |
|---|---|---|
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St. Luke's University Health Network deployed Microsoft Security Copilot with Microsoft Defender and Microsoft Sentinel to unify SOC operations, automate phishing alert triage, improve threat visibility, and accelerate AI-driven investigations across its healthcare security environment. | Saved nearly 200 analyst hours per month in phishing alert triage, reduced incident reporting from hours to minutes, improved cross-platform threat visibility, and enabled proactive threat hunting through AI-powered security operations. |
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Mondelez International deployed the CrowdStrike Falcon platform, including Falcon Next-Gen SIEM, to consolidate endpoint, identity, cloud, and log telemetry into a unified AI-native SOC, streamlining investigations and modernizing global security operations. | Reduced mean time to detect to under 15 minutes, lowered mean time to mitigate to approximately two hours, consolidated security tools, improved analyst efficiency, and strengthened enterprise-wide threat visibility. |
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A Fortune 500 oil and gas company implemented Palo Alto Networks Cortex XSIAM to replace fragmented SOC workflows with an AI-driven platform that automates threat detection, investigation, and response across complex enterprise environments (based on Palo Alto Networks customer case study). | Accelerated incident investigations, reduced manual alert triage, unified security operations across multiple environments, improved analyst productivity, and enhanced threat detection through AI-driven automation. |
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A US financial services organization deployed Stellar Cyber's Open XDR and AI-native SecOps platform to centralize security telemetry, automate threat detection, and simplify investigations across hybrid IT and cloud environments. | Improved SOC visibility, accelerated threat investigations, reduced alert fatigue through AI-driven correlation, strengthened compliance, and increased operational efficiency with a unified security operations platform. |
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CarbonHelix integrated Intezer's AI-powered Autonomous SOC platform into its managed security services to automate malware analysis, alert triage, and incident investigations, enabling scalable and efficient security operations for customers. | Reduced investigation time, automated repetitive SOC tasks, improved detection accuracy, accelerated incident response, and enabled analysts to focus on complex threats while supporting MSSP service scalability. |
Logos and trademarks shown above are the property of their respective owners. Their use here is for informational and illustrative purposes only.
MARKET ECOSYSTEM
The AI SOC ecosystem comprises software platform vendors and security service vendors that assist organizations in adopting AI technologies for detection, investigation, response, and threat intelligence. Software vendors provide end-to-end platforms that simplify and improve SOC processes, and service providers provide expert security services, 24/7 surveillance, incident management, and strategic guidance. These work hand-in-hand to help organizations increase cyber resilience, increase operational efficiency and make their increasingly complex hybrid and multi-cloud and AI-enabled environments more secure.
Logos and trademarks shown above are the property of their respective owners. Their use here is for informational and illustrative purposes only.
MARKET SEGMENTS
Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis
AI SOC Market, By Offering
As enterprises invest more in security modernization and ongoing threat monitoring using AI, the software platforms segment is poised to have the largest market share during the forecast period for AI SOC. Security vendors are focusing on integrated security platforms that will bring together all security detection, investigation, and response in one place and eliminate much of the operational complexity to increase analyst productivity and facilitate scalable cybersecurity in ever-distributed enterprise deployments.
AI SOC Market, By Software Platform
The AI-enabled detection & analytics segment will see the fastest growth as businesses need to rely on behavior analytics, anomaly detection, and intelligent threat correlation to detect complex attacks in real-time. They are built to offer security teams a better chance at detecting accurately, prioritizing events, reducing false positives and fast-tracking security decision-making in today's dynamic enterprise environments.
AI SOC Market, By Service
AI-augmented MDR is projected to dominate the services market, as the security landscape becomes more complex and organizations struggle with a lack of security expertise. AI-enhanced managed services not only offer continuous monitoring but also expert-led investigations and proactive threat hunting to empower quicker incident containment, enhanced operational resilience, and all-day security visibility without expanding the in-house SOC team.
AI SOC Market, By Organization Size
Large enterprises are likely to dominate the market because they have a larger number of digital businesses, geographically dispersed employees, and even greater dependence on cloud resources and AI-driven business processes. These organizations need to handle huge amounts of security events, withstand high-profile security threats and preserve vital assets, sensitive data, and complex enterprise infrastructures.
AI SOC Market, By Application
The threat detection & monitoring segment is expected to dominate the market as organizations prioritize continuous visibility into evolving cyber risks across enterprise environments. Continuous monitoring enables earlier identification of malicious activity, suspicious user behavior, and emerging attack patterns, allowing security teams to reduce dwell time, contain threats quickly, and strengthen overall cyber resilience.
AI SOC Market, By Vertical
The BFSI market is projected to be the largest, as it is facing higher incidences of financial fraud, ransomware attacks, identity theft, and having to meet regulatory requirements. Financial institutions are speeding up the adoption of AI-driven security operations to protect digital banking systems, payments, customer information, and mission-critical financial services, as well as enhance operational resilience.
REGION
Asia Pacific to be fastest-growing region in global AI SOC market during forecast period
The AI SOC market is experiencing the highest growth rate in the Asia Pacific region, with the digital transformation, growing cloud adoption, and the rising frequency of AI-powered cyberattacks in China, India, Japan, and other Asia Pacific countries. Governments and enterprises are rapidly investing in AI, cybersecurity and critical infrastructure protection and making efforts to regulate as per the standards for safe use of AI. Additionally, the heightened cybersecurity threats and increased uptake of autonomous SOC and managed AI security services are driving SOC deployment in the region.
AI SECURITY OPERATIONS CENTER (SOC) MARKET: COMPANY EVALUATION MATRIX
Microsoft (Star) holds a dominant position in the AI SOC market through its comprehensive AI-native security portfolio, including Microsoft Sentinel, Defender XDR, and Security Copilot. Elastic (Emerging Leader) is rapidly expanding its presence with AI-powered security analytics, agentic SOC capabilities, and a unified search-driven security platform for modern SOC operations.
Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis
KEY MARKET PLAYERS
- Microsoft (US)
- Cisco (US)
- CrowdStrike (US)
- Palo Alto Networks (US)
- Google (US)
- Sophos (US)
- IBM (US)
- Fortinet (US)
- Arctic Wolf (US)
- Elastic (Netherlands)
- Rapid7 (US)
- SentinelOne (US)
- Lumu Technologies (US)
MARKET SCOPE
| REPORT METRIC | DETAILS |
|---|---|
| Market Size in 2025 (Value) | USD 15.05 Billion |
| Market Forecast in 2026 (Value) | USD 18.10 Billion |
| Market Forecast in 2031 (Value) | USD 47.07 Billion |
| Growth Rate | CAGR of 21.1% from 2026-2031 |
| Years Considered | 2020-2031 |
| Base Year | 2025 |
| Forecast Period | 2026-2031 |
| Units Considered | Value (USD Billion) |
| Report Coverage | Revenue forecast, company ranking, competitive landscape, growth factors, and trends |
| Segments Covered |
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| Regions Covered | North America, Europe, Asia Pacific, Middle East & Africa, Latin America |
WHAT IS IN IT FOR YOU: AI SECURITY OPERATIONS CENTER (SOC) MARKET REPORT CONTENT GUIDE
DELIVERED CUSTOMIZATIONS
We have successfully delivered the following deep-dive customizations:
| CLIENT REQUEST | CUSTOMIZATION DELIVERED | VALUE ADDS |
|---|---|---|
| Leading Software Platform Provider (US) | Product Analysis: Comprehensive comparison of leading AI SOC vendors' solutions, including AI-powered threat detection and analytics, AI-native SOC platforms, agentic AI SOC solutions, AI-driven SIEM, security data platforms, threat intelligence, response automation, AI governance, and managed security capabilities across enterprise, cloud, hybrid, and critical infrastructure environments | Stronger understanding of vendor positioning, AI maturity, autonomous security capabilities, platform integration, automation depth, deployment flexibility, threat intelligence capabilities, and innovation strategies—supporting informed technology selection, cybersecurity investment planning, and long-term SOC modernization initiatives. |
| Leading Service Provider (EU) | Company Information: Detailed profiling and evaluation of additional AI SOC vendors (up to 5), covering AI SOC product portfolios, AI-powered security operations capabilities, agentic AI solutions, managed security services, regional presence, strategic partnerships, technology innovations, industry focus, and competitive positioning across the global AI SOC market | Comprehensive perspective of the evolving AI SOC ecosystem, highlighting the growing adoption of AI-native security operations, autonomous SOC platforms, intelligent threat detection, AI-driven security automation, and vendor differentiation through unified security platforms, agentic AI, advanced analytics, and continuous innovation in cyber defense. |
RECENT DEVELOPMENTS
- June 2026 : Cisco announced the acquisition of WideField Security to strengthen Splunk's Agentic SOC capabilities by enriching identity intelligence, correlating AI-agent activity, and improving autonomous threat detection and investigation across enterprise environments.
- June 2026 : Palo Alto Networks partnered with Wipro to combine Cortex XSIAM with Wipro CyberShield, delivering AI-powered managed security operations, automated threat detection, and machine-learning-driven SOC services for enterprise customers worldwide.
- May 2026 : Google collaborated with Information Services to launch Bulgaria's AI-powered National Cybershield, deploying Google Security Operations, Google Threat Intelligence, and Mandiant Intelligence to establish a federated SOC that strengthens AI-driven threat detection and incident response across 54 government entities.
- March 2026 : CrowdStrike launched Agentic MDR and SOC Transformation Services to help organizations operationalize the Agentic SOC by combining AI agents, Falcon Complete expertise, automated investigations, machine-speed response, and modernization of SIEM, data pipelines, governance, and security workflows.
- March 2026 : Microsoft integrated Commvault Cloud with Microsoft Sentinel and Security Copilot, enabling AI-driven threat detection, investigation, and automated recovery workflows by combining security telemetry, backup intelligence, and SOC operations capabilities.
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