AI 보안 오퍼레이션 센터(SOC) 시장 예측(-2031년) : 오퍼링별, 조직 규모별, 용도별, 업계별, 지역별

The AI Security Operations Center (SOC) market is projected to grow from USD 18.10 billion in 2026 to USD 47.07 billion by 2031 at a CAGR of 21.1% during the forecast period. This growth is driven by the rapid adoption of generative AI, autonomous AI agents, and AI-powered business applications across enterprises.

As AI becomes integral to business operations, organizations are increasingly investing in AI-native security platforms capable of protecting AI workloads, securing machine identities, monitoring autonomous actions, and ensuring policy compliance. Simultaneously, governments and industry bodies are advancing responsible AI governance through regulatory frameworks, security standards, and trusted AI initiatives, further accelerating enterprise investment in AI security. These developments are creating significant opportunities for AI SOC platforms to enable autonomous, resilient, and intelligence-driven security operations across modern hybrid and multi-cloud enterprise environments.

"By software platform, the AI SOC agent solutions segment is expected to witness the highest CAGR during the forecast period."

The AI SOC agent solutions segment is expected to register the highest CAGR during the forecast period due to the rapid adoption of agentic AI capable of autonomously investigating alerts, correlating security events, executing response workflows, and supporting analyst decision-making. Unlike traditional AI copilots, AI SOC agents can perform multi-step reasoning, automate repetitive SOC tasks, and continuously adapt to evolving threats, significantly improving operational efficiency. Growing enterprise demand for autonomous security operations, coupled with increasing investments in AI agents and intelligent workflow automation, is accelerating adoption across large enterprises and managed security providers.

"By organization size, the large enterprises segment is projected to hold the largest market share in 2026."

The large enterprises segment is projected to hold the largest share of the AI SOC market in 2026. This high growth is due to the scale and complexity of their digital ecosystems, extensive attack surfaces, and high volumes of security events generated across global operations. These organizations require continuous threat visibility, intelligent correlation of multi-domain telemetry, and rapid decision-making to protect business-critical assets and maintain operational resilience. Additionally, stringent regulatory obligations, increasing adoption of AI-driven business processes, and sustained investments in cybersecurity transformation are driving the deployment of advanced AI SOC platforms across large enterprises.

"By vertical, the energy & utilities segment is expected to grow at the highest CAGR during the forecast period."

The energy & utilities segment is expected to register the highest CAGR in the AI SOC market during the forecast period due to the rapid digitalization of critical infrastructure, increasing cyberattacks targeting operational technology (OT) and industrial control systems (ICS), and the growing adoption of AI across grid operations. As utilities modernize power grids, integrate renewable energy, and deploy AI-enabled control systems, organizations are investing in AI-driven security operations to continuously monitor, detect, and respond to cyber threats across IT and OT environments. Rising government focus on protecting critical infrastructure and increasing investments in resilient cyber defense are further accelerating AI SOC adoption across the energy and utilities sector.

Breakdown of Primaries

The study draws insights from a range of industry experts, including component suppliers, Tier 1 companies, and OEMs. The break-up of the primaries is as follows:

• By Company Type: Tier 1 - 35%, Tier 2 - 45%, and Tier 3 - 20%
• By Designation: C-level Executives - 50%, Managers and Other Levels - 50%
• By Region: North America - 25%, Europe - 30%, Asia Pacific - 25%, Middle East & Africa - 10%, Latin America - 10%

Major vendors in the AI SOC market include 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), ReliaQuest (US), Exabeam (US), eSentire (Canada), Expel (US), Huntress (US), UnderDefense (US), Stellar Cyber (US), Radiant Security (US), Torq (US), Intezer (US), Conifers.AI (US), Dropzone AI (US), Simbian (US), Prophet Security (US), Legion Security (US), CyberSilo (US), Bricklayer AI (US), Augur (US), BlinkOps (US), Gruve (US), Swimlane (US), CyberNX (India), Anvilogic (US), AIStrike (US), D3 Security (Canada), Exaforce (US), Riversafe (UK), SOC Jedi.AI (US), and Vulnuris (India).

The study includes an in-depth competitive analysis of the key players in the AI SOC market, their company profiles, recent developments, and key market strategies.

Research Coverage

The report segments the AI SOC market and forecasts its size based on offerings (software platforms (AI-enabled detection and analytics platforms, AI-orchestrated response and automation platforms, AI-native SOC platforms, AI SOC agent solutions, security data platforms, threat intelligence platforms, AI governance, risk, and compliance solutions)), services (AI-augmented managed detection and response (MDR), AI SOC-as-a-service (SOCAAS), incident response and forensics services, threat intelligence and advisory services), organization size (SMEs, large enterprises), application (threat detection and monitoring, alert triage and prioritization, incident investigation and analysis, threat hunting, incident response and remediation, insider threat detection, cloud security monitoring, identity and access monitoring, compliance monitoring and reporting, security analytics and visualization), vertical (banking, financial services, and insurance (BFSI), government and defense, healthcare and life sciences, IT and telecommunications, manufacturing, retail and ecommerce, energy and utilities, media and entertainment, education, others), and region (North America, Europe, Asia Pacific, Middle East & Africa, and Latin America).

The study also includes an in-depth competitive analysis of the market's key players, their company profiles, key observations related to product and business offerings, recent developments, and key market strategies.

Key Benefits of Buying the Report

The report will help market leaders/new entrants with information on the closest approximations of revenue numbers for the overall AI SOC market and its subsegments. This report will help stakeholders understand the competitive landscape and gain valuable insights to better position their businesses and plan suitable go-to-market strategies. The report also helps stakeholders understand the market pulse and provides information on key market drivers, restraints, challenges, and opportunities.

The report provides insights on the following pointers:

• Analysis of critical drivers (Rising AI-powered cyber threats, Increasing adoption of cloud, hybrid, and identity-centric infrastructures, Expansion of autonomous AI agents across enterprise environments, Growing shortage of skilled cybersecurity professionals), restraints (Limited trust in autonomous AI decision-making, Evolving AI governance and regulatory landscape), opportunities (AI SOC adoption among small and medium-sized enterprises (SMEs), AI security for agentic and generative AI environments, Unified AI-native security platforms, AI SOC-as-a-service and managed AI security operations), and challenges (Ensuring accuracy and reliability of AI-generated security decisions, Addressing AI model security and adversarial threats).
• Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, new products, and service launches in the AI SOC market.
• Market Development: Comprehensive information about lucrative markets - the report analyzes the AI SOC market across varied regions.
• Market Diversification: Exhaustive information about new products and services, untapped geographies, recent developments, and investments in the AI SOC market.
• Competitive Assessment: In-depth assessment of market shares, growth strategies, and service offerings of leading players, such as Microsoft (US), Cisco (US), CrowdStrike (US), Palo Alto Networks (US), Google (US), and Rapid7 (US), among others, in the AI SOC market.

TABLE OF CONTENTS

1 INTRODUCTION

• 1.1 STUDY OBJECTIVES
• 1.2 MARKET DEFINITION
• 1.3 STUDY SCOPE AND SEGMENTATION
  • 1.3.1 MARKET SEGMMENTATION & REGION COVERAGE
  • 1.3.2 INCLUSIONS AND EXCLUSIONS
  • 1.3.3 YEARS CONSIDERED
• 1.4 CURRENCY CONSIDERED
• 1.5 STAKEHOLDERS

2 EXECUTIVE SUMMARY

• 2.1 MARKET HIGHLIGHTS AND KEY INSIGHTS
• 2.2 KEY MARKET PARTICIPANTS: MAPPING OF STRATEGIC DEVELOPMENTS
• 2.3 DISRUPTIVE TRENDS SHAPING MARKET
• 2.4 HIGH-GROWTH SEGMENTS & EMERGING FRONTIERS
• 2.5 SNAPSHOT: GLOBAL MARKET SIZE, GROWTH RATE, AND FORECAST

3 PREMIUM INSIGHTS

• 3.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN AI SOC MARKET
• 3.2 AI SOC MARKET, BY OFFERING
• 3.3 AI SOC MARKET, BY SOFTWARE PLATFORM
• 3.4 AI SOC MARKET, BY SERVICE
• 3.5 AI SOC MARKET, BY ORGANIZATION SIZE
• 3.6 AI SOC MARKET, BY APPLICATION
• 3.7 AI SOC MARKET, BY VERTICAL
• 3.8 AI SOC MARKET, BY REGION

4 MARKET OVERVIEW

• 4.1 INTRODUCTION
• 4.2 MARKET DYNAMICS
  • 4.2.1 DRIVERS
    • 4.2.1.1 Rising AI-powered cyber threats
    • 4.2.1.2 Increasing adoption of cloud, hybrid, and identity-centric infrastructures
    • 4.2.1.3 Expansion of autonomous AI agents across enterprise environments
    • 4.2.1.4 Growing shortage of skilled cybersecurity professionals
  • 4.2.2 RESTRAINTS
    • 4.2.2.1 Limited trust in autonomous AI decision-making
    • 4.2.2.2 Evolving AI governance and regulatory landscape
  • 4.2.3 OPPORTUNITIES
    • 4.2.3.1 AI SOC adoption among small and medium-sized enterprises (SMEs)
    • 4.2.3.2 AI security for agentic and generative AI environments
    • 4.2.3.3 Unified AI-native security platforms
    • 4.2.3.4 AI SOC-as-a-service and managed AI security operations
  • 4.2.4 CHALLENGES
    • 4.2.4.1 Ensuring accuracy and reliability of AI-generated security decisions
    • 4.2.4.2 Addressing AI model security and adversarial threats
• 4.3 UNMET NEEDS AND WHITE SPACES
• 4.4 INTERCONNECTED MARKETS AND CROSS-SECTOR OPPORTUNITIES
  • 4.4.1 INTERCONNECTED MARKETS
  • 4.4.2 CROSS-SECTOR OPPORTUNITIES
• 4.5 STRATEGIC MOVES BY TIER -1/2/3 PLAYERS
  • 4.5.1 CROSS-TIER STRATEGIC PATTERNS
  • 4.5.2 STRATEGIC TRENDS
    • 4.5.2.1 Rise of Agentic AI in security operations
    • 4.5.2.2 Human-AI collaborative security
    • 4.5.2.3 AI-Powered Continuous Threat Exposure Management (CTEM)

5 INDUSTRY TRENDS

• 5.1 PORTER'S FIVE FORCES ANALYSIS
  • 5.1.1 THREAT OF NEW ENTRANTS
  • 5.1.2 BARGAINING POWER OF SUPPLIERS
  • 5.1.3 BARGAINING POWER OF BUYERS
  • 5.1.4 THREAT OF SUBSTITUTES
  • 5.1.5 INTENSITY OF COMPETITIVE RIVALRY
• 5.2 MACROECONOMIC INDICATORS
  • 5.2.1 INTRODUCTION
  • 5.2.2 GDP TRENDS AND FORECAST
  • 5.2.3 TRENDS IN GLOBAL ICT INDUSTRY
  • 5.2.4 TRENDS IN GLOBAL AI SOC INDUSTRY
• 5.3 VALUE CHAIN ANALYSIS
  • 5.3.1 AI & SECURITY INFRASTRUCTURE
  • 5.3.2 CORE SECURITY DATA & DETECTION PLATFORMS
  • 5.3.3 AI SOC PLATFORM & AGENTIC AI PROVIDERS
  • 5.3.4 AUTOMATION, ORCHESTRATION & INTEGRATION PARTNERS
  • 5.3.5 MANAGED AI SOC SERVICES (CROSS-STAGE LAYER)
  • 5.3.6 END USER GROUPS
• 5.4 ECOSYSTEM ANALYSIS
• 5.5 PRICING ANALYSIS
  • 5.5.1 AVERAGE ANNUAL SELLING PRICE OF KEY AI SOC VENDORS FOR A 500-ENDPOINT DEPLOYMENT
  • 5.5.2 INDICATIVE PRICING ANALYSIS FOR KEY PLAYERS
• 5.6 KEY CONFERENCES & EVENTS, 2026
• 5.7 TRENDS AND DISRUPTIONS IMPACTING CUSTOMER BUSINESS
• 5.8 INVESTMENT AND FUNDING SCENARIO
• 5.9 CASE STUDY ANALYSIS
  • 5.9.1 KEY ENTERPRISE USE CASES OF AI SOC
    • 5.9.1.1 AI-Driven Phishing and Business Email Compromise (BEC) Response
    • 5.9.1.2 Autonomous Alert Triage and Threat Investigation
    • 5.9.1.3 Identity and Insider Threat Detection
    • 5.9.1.4 Cloud Security Investigation and Response
    • 5.9.1.5 AI-driven Data Loss Prevention (DLP) and Sensitive Data Protection
  • 5.9.2 CASE STUDIES
    • 5.9.2.1 St. Luke's University Health Network Enhances Healthcare Cyber Defense with Microsoft Security Copilot and AI-Driven SOC Operations
    • 5.9.2.2 Mondelez International Modernizes Global Security Operations Through CrowdStrike's AI-Native Falcon Platform
    • 5.9.2.3 Fortune 500 Oil & Gas Company Transforms Legacy SOC into an AI-Driven Security Operations Center with Palo Alto Networks Cortex XSIAM
    • 5.9.2.4 US Financial Services Firm Unifies Enterprise Security Operations with Stellar Cyber's AI-Native SecOps Platform
    • 5.9.2.5 CarbonHelix Accelerates MSSP Growth Through Intezer's AI-Powered Autonomous Security Operations Center
• 5.10 IMPACT OF 2025 US TARIFFS - AI SOC MARKET
  • 5.10.1 INTRODUCTION
  • 5.10.2 KEY TARIFF RATES
  • 5.10.3 PRICE IMPACT ANALYSIS
  • 5.10.4 IMPACT ON COUNTRY/REGION
    • 5.10.4.1 North America
    • 5.10.4.2 Europe
    • 5.10.4.3 Asia Pacific
  • 5.10.5 IMPACT ON END-USE INDUSTRIES

6 TECHNOLOGICAL ADVANCEMENTS, AI-DRIVEN IMPACT, PATENTS, INNOVATIONS, AND FUTURE APPLICATIONS

• 6.1 TECHNOLOGY ANALYSIS
  • 6.1.1 KEY EMERGING TECHNOLOGIES
    • 6.1.1.1 Agentic AI for Autonomous Security Operations
    • 6.1.1.2 AI-Powered Continuous Threat Exposure Management (CTEM)
    • 6.1.1.3 Large Language Model (LLM)-Driven Security Copilots
    • 6.1.1.4 AI-Native Extended Detection and Response (XDR)
    • 6.1.1.5 Multi-Agent Security Orchestration and Autonomous Incident Response
  • 6.1.2 COMPLEMENTARY TECHNOLOGIES
    • 6.1.2.1 Cloud-Native Application Protection Platform (CNAPP)
    • 6.1.2.2 Identity Threat Detection and Response (ITDR)
    • 6.1.2.3 Threat Intelligence Platforms (TIPs)
  • 6.1.3 ADJACENT TECHNOLOGIES
    • 6.1.3.1 Cyber Asset Attack Surface Management (CAASM)
    • 6.1.3.2 Breach and Attack Simulation (BAS)
    • 6.1.3.3 Secure Access Service Edge (SASE)
• 6.2 TECHNOLOGY/PRODUCT ROADMAP
  • 6.2.1 SHORT-TERM (2026-2027) | FOUNDATION & EARLY COMMERCIALIZATION
  • 6.2.2 MID-TERM (2027-2030) SCALING, AUTONOMY & ECOSYSTEM EXPANSION
  • 6.2.3 LONG-TERM (2030-2035+) | AUTONOMOUS, PREDICTIVE & SELF-OPTIMIZING SECURITY OPERATIONS
• 6.3 PATENT ANALYSIS
• 6.4 FUTURE APPLICATIONS
  • 6.4.1 PREDICTIVE CYBER DEFENSE AND CYBER RESILIENCE
  • 6.4.2 AI-NATIVE REGULATORY COMPLIANCE AND CONTINUOUS AUDIT OPERATIONS
  • 6.4.3 CYBER FUSION CENTERS FOR ENTERPRISE RISK INTELLIGENCE
  • 6.4.4 AUTONOMOUS THIRD-PARTY AND SUPPLY CHAIN RISK MONITORING
  • 6.4.5 EXECUTIVE CYBER DECISION INTELLIGENCE AND BUSINESS RISK FORECASTING
• 6.5 IMPACT OF AI/GEN AI ON AI SOC MARKET
  • 6.5.1 BEST PRACTICES IN AI SOC MARKET
  • 6.5.2 CASE STUDIES OF AI IMPLEMENTATION IN AI SOC MARKET
  • 6.5.3 INTERCONNECTED ADJACENT ECOSYSTEM AND IMPACT ON MARKET PLAYERS
  • 6.5.4 CLIENTS' READINESS TO ADOPT GENERATIVE AI IN AI SOC MARKET
• 6.6 SUCCESS STORIES AND REAL-WORLD APPLICATIONS
  • 6.6.1 PALO ALTO NETWORKS: IMAGINATION TECHNOLOGIES - AI-POWERED SOC MODERNIZATION
  • 6.6.2 MICROSOFT: CITY OF JOHANNESBURG - AI-ENABLED SECURITY OPERATIONS

7 REGULATORY LANDSCAPE

• 7.1 REGIONAL REGULATIONS AND COMPLIANCE
  • 7.1.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • 7.1.2 INDUSTRY STANDARDS

8 CONSUMER LANDSCAPE & BUYER BEHAVIOR

• 8.1 DECISION-MAKING PROCESS
• 8.2 KEY STAKEHOLDERS & BUYING CRITERIA
  • 8.2.1 KEY STAKEHOLDERS IN BUYING PROCESS
  • 8.2.2 BUYING CRITERIA
• 8.3 ADOPTION BARRIERS & INTERNAL CHALLENGES
• 8.4 UNMET NEEDS IN VARIOUS END-USE INDUSTRIES

9 AI SOC MARKET, BY OFFERING

• 9.1 INTRODUCTION
  • 9.1.1 OFFERING: AI SOC MARKET DRIVERS
• 9.2 SOFTWARE PLATFORMS
  • 9.2.1 RISING ENTERPRISE DEMAND FOR UNIFIED AI SECURITY PLATFORMS TO DRIVE SOFTWARE PLATFORM ADOPTION
  • 9.2.2 AI-ENABLED DETECTION AND ANALYTICS PLATFORMS
    • 9.2.2.1 AI-driven threat detection and contextual security analytics are redefining modern security operations
  • 9.2.3 AI-ORCHESTRATED RESPONSE AND AUTOMATION PLATFORMS
    • 9.2.3.1 Intelligent security orchestration and agentic automation are transforming incident response operations
  • 9.2.4 AI-NATIVE SOC PLATFORMS
    • 9.2.4.1 Unified AI-native security operations platforms are driving the transition toward autonomous cyber defense
  • 9.2.5 AI SOC AGENT SOLUTIONS
    • 9.2.5.1 Agentic AI is enabling autonomous security operations through intelligent AI SOC agents
  • 9.2.6 SECURITY DATA PLATFORMS
    • 9.2.6.1 Unified security data foundations are enabling AI-ready security operations at enterprise scale
  • 9.2.7 THREAT INTELLIGENCE PLATFORMS
    • 9.2.7.1 Real-time threat intelligence to enable proactive and context-aware AI security operations
  • 9.2.8 AI GOVERNANCE, RISK, AND COMPLIANCE SOLUTIONS
    • 9.2.8.1 Responsible AI governance and continuous compliance are emerging as core components of AI-native security operations
• 9.3 SERVICES
  • 9.3.1 AI-DRIVEN MANAGED SECURITY SERVICES ARE ENABLING ENTERPRISES TO SCALE SECURITY OPERATIONS WITHOUT EXPANDING INTERNAL SOC TEAMS
  • 9.3.2 AI-AUGMENTED MANAGED DETECTION AND RESPONSE (MDR)
    • 9.3.2.1 AI-augmented MDR services are enabling continuous threat defense through expert-led and AI-powered security operations
  • 9.3.3 AI SOC-AS-A-SERVICE (SOCAAS)
    • 9.3.3.1 Cloud-delivered AI security operations are expanding access to enterprise-grade cyber defense
  • 9.3.4 INCIDENT RESPONSE AND FORENSICS SERVICES
    • 9.3.4.1 AI-powered incident response and digital forensics are accelerating cyber recovery and operational resilience
  • 9.3.5 THREAT INTELLIGENCE AND ADVISORY SERVICES
    • 9.3.5.1 Intelligence-led cyber advisory services are strengthening proactive risk management in AI-enabled security operations

10 AI SOC MARKET, BY ORGANIZATION SIZE

• 10.1 INTRODUCTION
  • 10.1.1 ORGANIZATION SIZE: AI SOC MARKET DRIVERS
• 10.2 LARGE ENTERPRISES
  • 10.2.1 COMPLEX DIGITAL ECOSYSTEMS AND LARGE-SCALE SECURITY OPERATIONS ARE ACCELERATING AI SOC ADOPTION ACROSS LARGE ENTERPRISES
• 10.3 SMES
  • 10.3.1 CLOUD-NATIVE AI SOC SERVICES ARE ENABLING SMES TO ACCESS ENTERPRISE-GRADE CYBERSECURITY CAPABILITIES

11 AI SOC MARKET, BY APPLICATION

• 11.1 INTRODUCTION
  • 11.1.1 APPLICATION: AI SOC MARKET DRIVERS
• 11.2 THREAT DETECTION AND MONITORING
  • 11.2.1 SHIFT FROM ALERT-CENTRIC SECURITY TO CONTINUOUS RISK OBSERVABILITY IS ACCELERATING AI-DRIVEN THREAT DETECTION
• 11.3 ALERT TRIAGE AND PRIORITIZATION
  • 11.3.1 BUSINESS-CONTEXT-DRIVEN ALERT PRIORITIZATION IS IMPROVING SOC DECISION QUALITY AND REDUCING ANALYST FATIGUE
• 11.4 INCIDENT INVESTIGATION AND ANALYSIS
  • 11.4.1 AI-ASSISTED INVESTIGATIONS ARE SHIFTING SECURITY OPERATIONS FROM EVIDENCE COLLECTION TO RAPID DECISION-MAKING
• 11.5 THREAT HUNTING
  • 11.5.1 PROACTIVE ADVERSARY HUNTING IS SHIFTING SECURITY OPERATIONS FROM REACTIVE DEFENSE TO CONTINUOUS CYBER RESILIENCE
• 11.6 INCIDENT RESPONSE AND REMEDIATION
  • 11.6.1 RAPID BUSINESS RECOVERY IS DRIVING AI-ENABLED INCIDENT RESPONSE AND REMEDIATION CAPABILITIES
• 11.7 INSIDER THREAT DETECTION
  • 11.7.1 HUMAN RISK INTELLIGENCE IS EMERGING AS A STRATEGIC APPLICATION OF AI SOC PLATFORMS
• 11.8 CLOUD SECURITY MONITORING
  • 11.8.1 CONTINUOUS MULTICLOUD VISIBILITY IS EMERGING AS A STRATEGIC REQUIREMENT FOR AI-DRIVEN SECURITY OPERATIONS
• 11.9 IDENTITY AND ACCESS MONITORING
  • 11.9.1 CONTINUOUS IDENTITY VISIBILITY IS BECOMING CENTRAL TO AI-DRIVEN SECURITY OPERATIONS
• 11.10 COMPLIANCE MONITORING AND REPORTING
  • 11.10.1 CONTINUOUS COMPLIANCE ASSURANCE IS BECOMING A STRATEGIC FUNCTION OF AI-POWERED SECURITY OPERATIONS
• 11.11 SECURITY ANALYTICS AND VISUALIZATION
  • 11.11.1 VISUAL SECURITY INTELLIGENCE IS ENABLING FASTER CYBER RISK DECISIONS ACROSS MODERN SECURITY OPERATIONS

12 AI SOC MARKET, BY VERTICAL

• 12.1 INTRODUCTION
  • 12.1.1 VERTICAL: AI SOC MARKET DRIVERS
• 12.2 BFSI
  • 12.2.1 RISING AI-ENABLED FINANCIAL FRAUD AND REGULATORY REQUIREMENTS ARE ACCELERATING AI SOC ADOPTION ACROSS THE BFSI SECTOR
• 12.3 GOVERNMENT AND DEFENSE
  • 12.3.1 NATIONAL CYBER RESILIENCE INITIATIVES AND DEFENSE AI MODERNIZATION ARE ACCELERATING AI SOC ADOPTION
• 12.4 HEALTHCARE & LIFE SCIENCES
  • 12.4.1 EXPANDING DIGITAL HEALTH ECOSYSTEMS AND PROTECTION OF SENSITIVE PATIENT DATA ARE DRIVING AI SOC ADOPTION
• 12.5 IT & TELECOMMUNICATIONS
  • 12.5.1 EXPANDING AI-NATIVE NETWORKS AND HYPERSCALE DIGITAL INFRASTRUCTURES ARE ACCELERATING AI SOC DEPLOYMENTS ACROSS THE IT AND TELECOMMUNICATIONS SECTOR
• 12.6 MANUFACTURING
  • 12.6.1 INDUSTRY 4.0 AND IT-OT CONVERGENCE ARE ACCELERATING AI SOC ADOPTION ACROSS THE MANUFACTURING SECTOR
• 12.7 RETAIL & ECOMMERCE
  • 12.7.1 EXPANDING DIGITAL COMMERCE AND AI-DRIVEN CUSTOMER ENGAGEMENT ARE DRIVING AI SOC ADOPTION ACROSS THE RETAIL AND ECOMMERCE SECTOR
• 12.8 ENERGY & UTILITIES
  • 12.8.1 MODERNIZATION OF CRITICAL ENERGY INFRASTRUCTURE AND IT-OT CONVERGENCE ARE DRIVING AI SOC ADOPTION ACROSS THE ENERGY AND UTILITIES SECTOR
• 12.9 MEDIA & ENTERTAINMENT
  • 12.9.1 PROTECTING DIGITAL CONTENT, STREAMING PLATFORMS, AND AI-DRIVEN MEDIA ECOSYSTEMS IS ACCELERATING AI SOC ADOPTION ACROSS THE MEDIA AND ENTERTAINMENT INDUSTRY
• 12.10 EDUCATION
  • 12.10.1 DIGITAL LEARNING EXPANSION AND RISING CYBER THREATS ARE ACCELERATING AI SOC ADOPTION ACROSS EDUCATIONAL INSTITUTIONS
• 12.11 OTHER VERTICALS

13 AI SOC MARKET, BY REGION

• 13.1 INTRODUCTION
• 13.2 NORTH AMERICA
  • 13.2.1 NORTH AMERICA: AI SOC MARKET DRIVERS
  • 13.2.2 US
    • 13.2.2.1 Federal AI cybersecurity modernization accelerating autonomous SOC adoption
  • 13.2.3 CANADA
    • 13.2.3.1 National cybersecurity strategy and trusted AI governance strengthening AI SOC growth
• 13.3 EUROPE
  • 13.3.1 EUROPE: AI SOC MARKET DRIVERS
  • 13.3.2 UK
    • 13.3.2.1 Trusted AI governance and financial sector digitalization advancing intelligent security operations
  • 13.3.3 GERMANY
    • 13.3.3.1 Industrial digitalization and smart manufacturing increasing demand for autonomous cyber defense
  • 13.3.4 FRANCE
    • 13.3.4.1 Cyber sovereignty initiatives and trusted AI governance reinforcing national digital resilience
  • 13.3.5 ITALY
    • 13.3.5.1 AI strategy and public sector digitalization accelerating cyber modernization
  • 13.3.6 REST OF EUROPE
• 13.4 ASIA PACIFIC
  • 13.4.1 ASIA PACIFIC: AI SOC MARKET DRIVERS
  • 13.4.2 CHINA
    • 13.4.2.1 Indigenous AI innovation and cloud security leadership transforming intelligent cyber resilience
  • 13.4.3 JAPAN
    • 13.4.3.1 AI-security research and resilient digital infrastructure advancing next-generation cyber defense
  • 13.4.4 INDIA
    • 13.4.4.1 AI-native security operations and cybersecurity services ecosystem accelerating cyber modernization
  • 13.4.5 REST OF ASIA PACIFIC
• 13.5 MIDDLE EAST & AFRICA
  • 13.5.1 MIDDLE EAST & AFRICA: AI SOC MARKET DRIVERS
  • 13.5.2 GULF COOPERATION COUNCIL (GCC)
    • 13.5.2.1 Sovereign AI investments and regional cybersecurity cooperation strengthening intelligent cyber resilience
    • 13.5.2.2 KSA
      • 13.5.2.2.1 Vision 2030 and national AI governance accelerating intelligent cybersecurity transformation
    • 13.5.2.3 UAE
      • 13.5.2.3.1 AI-native government and sovereign AI ecosystem transforming digital security
    • 13.5.2.4 Rest of GCC
  • 13.5.3 REST OF MIDDLE EAST
  • 13.5.4 AFRICA
    • 13.5.4.1 Expanding AI-enabled security operations strengthening cyber resilience across digital economies
• 13.6 LATIN AMERICA
  • 13.6.1 LATIN AMERICA: AI SOC MARKET DRIVERS
  • 13.6.2 BRAZIL
    • 13.6.2.1 National AI investments and regulatory modernization accelerating AI-driven security operations
  • 13.6.3 MEXICO
    • 13.6.3.1 Nearshoring-driven industrial digitalization and national cybersecurity modernization accelerating AI-enabled security operations
  • 13.6.4 REST OF LATIN AMERICA

14 COMPETITIVE LANDSCAPE

• 14.1 KEY PLAYER STRATEGIES/RIGHT TO WIN
• 14.2 REVENUE ANALYSIS
• 14.3 MARKET SHARE ANALYSIS
• 14.4 BRAND/PRODUCT COMPARISON
• 14.5 COMPANY VALUATION AND FINANCIAL METRICS
  • 14.5.1 COMPANY VALUATION
  • 14.5.2 FINANCIAL METRICS USING EV/EBIDTA
• 14.6 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2025
  • 14.6.1 STARS
  • 14.6.2 EMERGING LEADERS
  • 14.6.3 PERVASIVE PLAYERS
  • 14.6.4 PARTICIPANTS
  • 14.6.5 COMPANY FOOTPRINT: KEY PLAYERS
    • 14.6.5.1 Company footprint
    • 14.6.5.2 Offering footprint
    • 14.6.5.3 Organization Size footprint
    • 14.6.5.4 Vertical footprint
    • 14.6.5.5 Regional footprint
• 14.7 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2025
  • 14.7.1 PROGRESSIVE COMPANIES
  • 14.7.2 RESPONSIVE COMPANIES
  • 14.7.3 DYNAMIC COMPANIES
  • 14.7.4 STARTING BLOCKS
  • 14.7.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES
    • 14.7.5.1 Detailed list of key startups/SMEs
    • 14.7.5.2 Competitive benchmarking of key startups/SMEs
      • 14.7.5.2.1 Offering footprint
      • 14.7.5.2.2 Organization size footprint
      • 14.7.5.2.3 Vertical footprint
      • 14.7.5.2.4 Regional footprint
• 14.8 COMPETITIVE SCENARIO AND TRENDS
  • 14.8.1 PRODUCT LAUNCHES
  • 14.8.2 DEALS
  • 14.8.3 EXPANSIONS

15 COMPANY PROFILES

• 15.1 KEY PLAYERS
  • 15.1.1 MICROSOFT
    • 15.1.1.1 Business overview
    • 15.1.1.2 Products/Solutions/Services offered
    • 15.1.1.3 Recent developments
      • 15.1.1.3.1 Product launches/enhancements
      • 15.1.1.3.2 Deals
    • 15.1.1.4 MnM view
      • 15.1.1.4.1 Key strengths
      • 15.1.1.4.2 Strategic choices
      • 15.1.1.4.3 Weaknesses & competitive threats
  • 15.1.2 CISCO
    • 15.1.2.1 Business overview
    • 15.1.2.2 Products/Solutions/Services offered
    • 15.1.2.3 Recent developments
      • 15.1.2.3.1 Product launches/enhancements
      • 15.1.2.3.2 Deals
    • 15.1.2.4 MnM view
      • 15.1.2.4.1 Key strengths
      • 15.1.2.4.2 Strategic choices
      • 15.1.2.4.3 Weaknesses & competitive threats
  • 15.1.3 CROWDSTRIKE
    • 15.1.3.1 Business overview
    • 15.1.3.2 Products/Solutions/Services offered
    • 15.1.3.3 Recent developments
      • 15.1.3.3.1 Product launches/enhancements
      • 15.1.3.3.2 Deals
      • 15.1.3.3.3 Expansions
    • 15.1.3.4 MnM view
      • 15.1.3.4.1 Key strengths
      • 15.1.3.4.2 Strategic choices
      • 15.1.3.4.3 Weaknesses & competitive threats
  • 15.1.4 PALO ALTO NETWORKS
    • 15.1.4.1 Business overview
    • 15.1.4.2 Products/Solutions/Services offered
    • 15.1.4.3 Recent developments
      • 15.1.4.3.1 Product launches/enhancements
      • 15.1.4.3.2 Deals
      • 15.1.4.3.3 Expansions
    • 15.1.4.4 MnM view
      • 15.1.4.4.1 Key strengths
      • 15.1.4.4.2 Strategic choices
      • 15.1.4.4.3 Weaknesses & competitive threats
  • 15.1.5 GOOGLE
    • 15.1.5.1 Business overview
    • 15.1.5.2 Products/Solutions/Services offered
    • 15.1.5.3 Recent developments
      • 15.1.5.3.1 Product launches/enhancements
      • 15.1.5.3.2 Deals
      • 15.1.5.3.3 Expansions
    • 15.1.5.4 MnM view
      • 15.1.5.4.1 Key strengths
      • 15.1.5.4.2 Strategic choices
      • 15.1.5.4.3 Weaknesses & competitive threats
  • 15.1.6 LUMU TECHNOLOGIES
    • 15.1.6.1 Business overview
    • 15.1.6.2 Products/Solutions/Services offered
    • 15.1.6.3 Recent developments
      • 15.1.6.3.1 Product launches/enhancements
      • 15.1.6.3.2 Deals
      • 15.1.6.3.3 Expansions
  • 15.1.7 SOPHOS
    • 15.1.7.1 Business overview
    • 15.1.7.2 Products/Solutions/Services offered
    • 15.1.7.3 Recent developments
      • 15.1.7.3.1 Product launches/enhancements
      • 15.1.7.3.2 Deals
  • 15.1.8 IBM
    • 15.1.8.1 Business overview
    • 15.1.8.2 Products/Solutions/Services offered
    • 15.1.8.3 Recent developments
      • 15.1.8.3.1 Product launches/enhancements
      • 15.1.8.3.2 Deals
      • 15.1.8.3.3 Expansions
  • 15.1.9 FORTINET
    • 15.1.9.1 Business overview
    • 15.1.9.2 Products/Solutions/Services offered
    • 15.1.9.3 Recent developments
      • 15.1.9.3.1 Product launches/enhancements
      • 15.1.9.3.2 Deals
  • 15.1.10 ARCTIC WOLF
    • 15.1.10.1 Business overview
    • 15.1.10.2 Products/Solutions/Services offered
    • 15.1.10.3 Recent developments
      • 15.1.10.3.1 Product launches/enhancements
      • 15.1.10.3.2 Deals
  • 15.1.11 ELASTIC
    • 15.1.11.1 Business overview
    • 15.1.11.2 Products/Solutions/Services offered
    • 15.1.11.3 Recent developments
      • 15.1.11.3.1 Product launches/enhancements
      • 15.1.11.3.2 Deals
  • 15.1.12 RAPID7
    • 15.1.12.1 Business overview
    • 15.1.12.2 Products/Solutions/Services offered
    • 15.1.12.3 Recent developments
      • 15.1.12.3.1 Product launches/enhancements
      • 15.1.12.3.2 Deals
      • 15.1.12.3.3 Expansions
  • 15.1.13 SENTINELONE
    • 15.1.13.1 Business overview
    • 15.1.13.2 Products/Solutions/Services offered
    • 15.1.13.3 Recent developments
      • 15.1.13.3.1 Product launches/enhancements
      • 15.1.13.3.2 Deals
      • 15.1.13.3.3 Expansions
• 15.2 OTHER KEY PLAYERS
  • 15.2.1 RELIAQUEST
  • 15.2.2 EXABEAM
  • 15.2.3 ESENTIRE
  • 15.2.4 EXPEL
  • 15.2.5 HUNTRESS
  • 15.2.6 UNDERDEFENSE
  • 15.2.7 STELLAR CYBER
  • 15.2.8 RADIANT SECURITY
  • 15.2.9 TORQ
  • 15.2.10 INTEZER
  • 15.2.11 CONIFERS
  • 15.2.12 DROPZONE AI
  • 15.2.13 SIMBIAN
  • 15.2.14 PROPHET SECURITY
  • 15.2.15 LEGION SECURITY
  • 15.2.16 CYBERSILO
  • 15.2.17 BRICKLAYER AI
  • 15.2.18 AUGUR
  • 15.2.19 BLINKOPS
  • 15.2.20 GRUVE
  • 15.2.21 SWIMLANE
  • 15.2.22 CYBERNX
  • 15.2.23 ANVILOGIC
  • 15.2.24 AISTRIKE
  • 15.2.25 D3 SECURITY
  • 15.2.26 EXAFORCE
  • 15.2.27 RIVERSAFE
  • 15.2.28 SOC JEDI.AI
  • 15.2.29 VULNURIS

16 RESEARCH METHODOLOGY

• 16.1 RESEARCH DATA
  • 16.1.1 SECONDARY DATA
  • 16.1.2 PRIMARY DATA
    • 16.1.2.1 Breakup of primary profiles
    • 16.1.2.2 Key industry insights
• 16.2 DATA TRIANGULATION
• 16.3 MARKET SIZE ESTIMATION
• 16.4 MARKET FORECAST
• 16.5 RESEARCH ASSUMPTIONS
• 16.6 LIMITATIONS & RISK ASSESSMENT

17 APPENDIX

• 17.1 DISCUSSION GUIDE
• 17.2 KNOWLEDGESTORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
• 17.3 CUSTOMIZATION OPTIONS
• 17.4 RELATED REPORTS
• 17.5 AUTHOR DETAILS