자율형 보안 운영 센터(SOC) : 시장 점유율 분석, 업계 동향과 통계, 성장 예측(2026-2031년)

According to Mordor Intelligence, the autonomous Security Operations Center (SOC) market size is expected to grow from USD 8.41 billion in 2025 to USD 10.41 billion in 2026 and is forecast to reach USD 31.48 billion by 2031 at 24.77% CAGR over 2026-2031.

This report is Segmented by Component (Platforms, and Services), Deployment (Cloud, On-Premises, and Hybrid), Enterprise Size (Large Enterprises, and Small and Medium Enterprises), End-User Industry (Government and Public Administration, Industrial Manufacturing, Retail and E-Commerce, and More), and Geography. The Market Forecasts are Provided in Terms of Value (USD).

Global Autonomous Security Operations Center (SOC) Market Trends and Insights

Escalating Alert Fatigue Across Security Operations Teams

The autonomous Security Operations Center (SOC) market is benefiting from a simple operational reality: many security teams can no longer review alert volumes fast enough with human analysts alone. Cisco reported in 2025 that 59% of SOC teams faced too many alerts, 55% spent significant time on false positives, and data management issues accounted for 57% of investigation time. CrowdStrike also found that 79% of organizations believed their tools generated too many alerts, and teams spent 77% of triage time on false positives and low-priority detections. Palo Alto Networks stated that 13% of social engineering incidents in its 2025 incident response work succeeded because routine alerts were ignored or left untriaged. That operating pressure is pushing the autonomous Security Operations Center (SOC) market toward platforms that reduce analyst burden and lower the risk of missing a real attack amid the noise.

Rising Adoption of AI Orchestration Across Threat Detection Workflows

The autonomous Security Operations Center (SOC) market is also being shaped by the shift from fixed automation rules to AI orchestration that can investigate, reason, and act across several security steps. In March 2026, CrowdStrike and NVIDIA reported 5x faster investigations and 3x higher triage accuracy in Agentic MDR workloads using NVIDIA Nemotron models and NeMo Data Designer. Microsoft introduced its Security Analyst Agent at RSA 2026 to perform multi-step investigations across Defender and Sentinel telemetry and surface material risks in minutes with auditable reasoning chains. These launches show that competition in the autonomous Security Operations Center (SOC) market is moving toward systems that can coordinate multiple AI-led tasks rather than simply providing prompts or summaries. They also widen the gap between vendors with serious threat investigation data and those without a similar real-world feedback loop.

Model Explainability And Auditability Concerns

The autonomous Security Operations Center (SOC) market still faces hesitation from buyers who need clear reasoning behind automated triage and response actions. EU AI Act transparency provisions become active from August 2026, which raises the importance of traceability for systems used in security workflows. CrowdStrike has addressed part of this concern through Charlotte AI governance work, including ISO 42001 certification positioning and product claims that answerability and actions are user-authorized. Even so, the autonomous Security Operations Center (SOC) market is still dealing with the fact that strong model performance does not automatically produce explanations that buyers can audit with confidence. This issue matters most in regulated sectors where procurement teams want proof of governance controls before giving autonomous systems broader operating authority.

Other drivers and restraints analyzed in the detailed report include:

1. Expanding Cloud and Identity Telemetry Requiring Unified Autonomy
2. Regulatory Pressure for Continuous Control Monitoring
3. Integration Complexity With Legacy SIEM, SOAR, And EDR Stacks

For complete list of drivers and restraints, kindly check the Table Of Contents.

Segment Analysis

Platforms accounted for 64.21% of revenue in 2025, making them the largest component of the autonomous Security Operations Center (SOC) market. Their lead came from their role as the main operating layer for threat detection, investigation, response, and data management. Buyers also tend to stay with these systems for years after telemetry is stored inside the platform, because the data improves model tuning and makes migration harder. This stickiness supports larger contract values and gives platform vendors room to deepen usage through connected endpoint, identity, cloud, and SIEM capabilities.

Services are projected to grow at a 25.81% CAGR from 2026 to 2031, making them the faster-moving part of the component mix. Growth is being driven by organizations that want autonomous workflows without building deep internal AI engineering or security operations teams. Agentic MDR and SOC transformation offerings are expanding as they combine intelligent automation with expert oversight, helping customers move faster from pilots to production. This shifts services beyond standard managed SOC support and toward higher-value operating models, where vendors take on more responsibility for detection quality, response speed, and security outcomes.

Cloud deployments held 55.17% of the market in 2025, which gave them the largest share across deployment models. Their lead reflects the strong fit between cloud delivery and modern security operations, where continuous updates, shared threat intelligence, and scalable compute are important for AI-based response. Cloud platforms also align closely with the workloads, APIs, and identities that enterprises increasingly need to secure. These advantages make the cloud the starting point for many new autonomous SOC rollouts. Organizations that want quicker implementation and regular model improvement often prefer this deployment path over more infrastructure-heavy alternatives.

Hybrid deployments are projected to grow at a 25.92% CAGR from 2026 to 2031, making them the fastest-growing deployment model. This reflects the needs of organizations that must keep sensitive data in private or sovereign environments while still using cloud-based AI for speed and scale. Hybrid is especially relevant in regulated sectors where auditability, explainability, and human oversight are more important in system design. On-premises models still matter in defense, government, and critical infrastructure settings, where strict localization rules remain in place. As a result, deployment preferences are likely to remain mixed rather than fully shift toward a single operating model.

Complete Report Scope:

• By Component
  • Platforms
    • AI-Native SOC Platforms
    • Autonomous Investigation and Response Platforms
    • Agentic Security Operations Platforms
  • Services
• By Deployment
  • Cloud
  • On-Premises
  • Hybrid
• By Enterprise Size
  • Large Enterprises
  • Small and Medium Enterprises
• By End-user Industry
  • Government and Public Administration
  • Industrial Manufacturing
  • Retail and E-Commerce
  • Transportation and Logistics
  • Energy and Utilities
  • Oil and Gas
  • IT and Telecommunication
  • Media and Entertainment
  • Education and Research Institutions
  • Healthcare and Life Sciences
  • Banking, Financial Services, and Insurance (BFSI)
• By Geography
  • North America
    • United States
    • Canada
    • Mexico
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Europe
    • Germany
    • United Kingdom
    • France
    • Italy
    • Spain
    • Russia
    • Rest of Europe
  • Asia-Pacific
    • China
    • India
    • Japan
    • South Korea
    • Australia
    • Rest of Asia-Pacific
  • Middle East and Africa
    • Middle East
      • Saudi Arabia
      • United Arab Emirates
      • Rest of Middle East
    • Africa
      • South Africa
      • Nigeria
      • Rest of Africa

Geography Analysis

North America held 34.18% share in 2025, making it the largest region in the autonomous security operations center (SOC) market. The United States remains the core market because it combines a deep vendor base, broad enterprise cloud adoption, and strong demand for continuous security monitoring. The region also benefits from large federal technology budgets and tighter documentation and response requirements in regulated sectors. CrowdStrike reinforced the ecosystem strength in North America when it launched the Charlotte AI AgentWorks Ecosystem at RSA 2026 with partners including AWS, Anthropic, NVIDIA, OpenAI, Salesforce, Accenture, Deloitte, Kroll, and Telefonica Tech.

Asia-Pacific is projected to grow at a 26.27% CAGR from 2026 to 2031, making it the fastest-growing regional market for autonomous Security Operations Centers (SOCs). Growth across the region is tied to rapid digital expansion, rising state-linked cyber activity, and a shortage of in-house security talent, which increases demand for managed and autonomous models. China's Network Data Security Management Regulations, which became effective in 2025, are supporting domestic investment in sovereign-aligned security platforms. India is also contributing through stronger breach reporting expectations and wider digital infrastructure buildout across public and private systems. Japan, South Korea, Australia, and Southeast Asia are seeing increased demand for financial services, defense-related operations, and cloud-first, localized programs that modernize enterprise security.

Europe recorded meaningful revenue in 2025, supported by the German, UK, and French enterprise security markets and by the combined effect of DORA and NIS2. ENISA stated in 2025 that monitoring should be automated and carried out continuously or at periodic intervals, which directly supports the platform logic of the autonomous Security Operations Center (SOC) market. The overlap among DORA, NIS2, the EU AI Act, and the Cyber Resilience Act is compressing the upgrade cycle for enterprises that previously relied on point-in-time compliance practices. The Middle East and Africa are also opening new opportunities through sovereign AI programs, smart city investments, and critical infrastructure protection work in countries such as Saudi Arabia and the United Arab Emirates. South America remains an emerging demand pool, led by Brazil, where stronger data protection enforcement is lifting interest from financial services and government buyers.

1. CrowdStrike Holdings, Inc.
2. Microsoft Corporation
3. Palo Alto Networks, Inc.
4. SentinelOne, Inc.
5. IBM Corporation
6. Google LLC
7. Cisco Systems, Inc.
8. Fortinet, Inc.
9. Check Point Software Technologies Ltd.
10. Rapid7, Inc.
11. Splunk Inc.
12. Elastic N.V.
13. Darktrace plc
14. Exabeam, Inc.
15. Securonix, Inc.
16. ReliaQuest, LLC
17. Arctic Wolf Networks, Inc.
18. Sophos Limited
19. Trellix, LLC
20. Vectra AI, Inc.

Additional Benefits:

• The market estimate (ME) sheet in Excel format
• 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

• 1.1 Study Assumptions and Market Definition
• 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET LANDSCAPE

• 4.1 Market Overview
• 4.2 Market Drivers
  • 4.2.1 Escalating Alert Fatigue Across Security Operations Teams
  • 4.2.2 Rising Adoption of AI Orchestration Across Threat Detection Workflows
  • 4.2.3 Expanding Cloud and Identity Telemetry Requiring Unified Autonomy
  • 4.2.4 Regulatory Pressure For Continuous Control Monitoring
  • 4.2.5 Talent Shortages In SOC Analyst Roles
  • 4.2.6 Demand For Faster Mean Time To Detect and Respond
• 4.3 Market Restraints
  • 4.3.1 Model Explainability And Auditability Concerns
  • 4.3.2 Integration Complexity With Legacy SIEM, SOAR, and EDR Stacks
  • 4.3.3 High Compute Costs For Agentic AI Workloads
  • 4.3.4 Autonomous Action Risk In Mission-Critical Environments
• 4.4 Impact of Macroeconomic Factors on the Market
• 4.5 Industry Value-Chain Analysis
• 4.6 Regulatory Landscape
• 4.7 Technological Outlook
• 4.8 Porter's Five Forces Analysis
  • 4.8.1 Bargaining Power of Buyers
  • 4.8.2 Bargaining Power of Suppliers
  • 4.8.3 Threat of New Entrants
  • 4.8.4 Threat of Substitutes
  • 4.8.5 Intensity of Competitive Rivalry

5 MARKET SIZE AND GROWTH FORECASTS (VALUE)

• 5.1 By Component
  • 5.1.1 Platforms
    • 5.1.1.1 AI-Native SOC Platforms
    • 5.1.1.2 Autonomous Investigation and Response Platforms
    • 5.1.1.3 Agentic Security Operations Platforms
  • 5.1.2 Services
• 5.2 By Deployment
  • 5.2.1 Cloud
  • 5.2.2 On-Premises
  • 5.2.3 Hybrid
• 5.3 By Enterprise Size
  • 5.3.1 Large Enterprises
  • 5.3.2 Small and Medium Enterprises
• 5.4 By End-user Industry
  • 5.4.1 Government and Public Administration
  • 5.4.2 Industrial Manufacturing
  • 5.4.3 Retail and E-Commerce
  • 5.4.4 Transportation and Logistics
  • 5.4.5 Energy and Utilities
  • 5.4.6 Oil and Gas
  • 5.4.7 IT and Telecommunication
  • 5.4.8 Media and Entertainment
  • 5.4.9 Education and Research Institutions
  • 5.4.10 Healthcare and Life Sciences
  • 5.4.11 Banking, Financial Services, and Insurance (BFSI)
• 5.5 By Geography
  • 5.5.1 North America
    • 5.5.1.1 United States
    • 5.5.1.2 Canada
    • 5.5.1.3 Mexico
  • 5.5.2 South America
    • 5.5.2.1 Brazil
    • 5.5.2.2 Argentina
    • 5.5.2.3 Rest of South America
  • 5.5.3 Europe
    • 5.5.3.1 Germany
    • 5.5.3.2 United Kingdom
    • 5.5.3.3 France
    • 5.5.3.4 Italy
    • 5.5.3.5 Spain
    • 5.5.3.6 Russia
    • 5.5.3.7 Rest of Europe
  • 5.5.4 Asia-Pacific
    • 5.5.4.1 China
    • 5.5.4.2 India
    • 5.5.4.3 Japan
    • 5.5.4.4 South Korea
    • 5.5.4.5 Australia
    • 5.5.4.6 Rest of Asia-Pacific
  • 5.5.5 Middle East and Africa
    • 5.5.5.1 Middle East
      • 5.5.5.1.1 Saudi Arabia
      • 5.5.5.1.2 United Arab Emirates
      • 5.5.5.1.3 Rest of Middle East
    • 5.5.5.2 Africa
      • 5.5.5.2.1 South Africa
      • 5.5.5.2.2 Nigeria
      • 5.5.5.2.3 Rest of Africa

6 COMPETITIVE LANDSCAPE

• 6.1 Market Concentration
• 6.2 Strategic Moves
• 6.3 Market Share Analysis
• 6.4 Company Profiles (includes Global Level Overview, Market Level Overview, Core Segments, Financials as available, Strategic Information, Market Rank/Share, Products and Services, Recent Developments)
  • 6.4.1 CrowdStrike Holdings, Inc.
  • 6.4.2 Microsoft Corporation
  • 6.4.3 Palo Alto Networks, Inc.
  • 6.4.4 SentinelOne, Inc.
  • 6.4.5 IBM Corporation
  • 6.4.6 Google LLC
  • 6.4.7 Cisco Systems, Inc.
  • 6.4.8 Fortinet, Inc.
  • 6.4.9 Check Point Software Technologies Ltd.
  • 6.4.10 Rapid7, Inc.
  • 6.4.11 Splunk Inc.
  • 6.4.12 Elastic N.V.
  • 6.4.13 Darktrace plc
  • 6.4.14 Exabeam, Inc.
  • 6.4.15 Securonix, Inc.
  • 6.4.16 ReliaQuest, LLC
  • 6.4.17 Arctic Wolf Networks, Inc.
  • 6.4.18 Sophos Limited
  • 6.4.19 Trellix, LLC
  • 6.4.20 Vectra AI, Inc.

7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK

• 7.1 White-Space and Unmet-Need Assessment