사이버 방위 분야 생성형 인공지능(AI) 시장 : 시장 점유율 분석, 업계 동향 및 통계, 성장 예측(2026-2031년)

According to Mordor Intelligence, the generative artificial intelligence (AI) in Cyber Defense Market size is expected to increase from USD 16.44 billion in 2025 to USD 20.58 billion in 2026 and reach USD 66.05 billion by 2031, growing at a CAGR of 26.27% over 2026-2031.

This report is Segmented by Offering (Software, and Service), Application (Security Operations and SOC Augmentation, and More), Security Type (Infrastructure Security, and More), Deployment (Cloud, and More), Enterprise Size (Large Enterprises, and More), End-User Industry (Oil and Gas, and More), and Geography. The Market Forecasts are Provided in Terms of Value (USD).

Global Generative Artificial Intelligence (AI) In Cyber Defense Market Trends and Insights

Rising AI-Enabled Attack Volume And Speed

The Generative Artificial Intelligence (AI) in Cyber Defense Market is benefiting from a sharp rise in AI-assisted phishing, deepfake impersonation, and automated reconnaissance that outpace human-led review cycles. Zscaler reported 413,524 AI-generated phishing site instances across January to December 2025, based on signals collected at a very large scale across its network, which shows how quickly attackers are industrializing these campaigns. IBM also reported that 1 in 6 breaches in 2025 involved AI-driven attacks, mainly to scale phishing and social engineering, confirming that offensive AI already has a measurable operational impact. The UK National Cyber Security Center stated that AI will almost certainly increase both the volume and impact of cyberattacks, especially in social engineering, where grammar and translation errors are no longer reliable warning signs for employees. The Generative Artificial Intelligence (AI) in Cyber Defense Market is therefore shifting toward detection, triage, and response engines that work at machine speed rather than analyst speed. Buyers are also placing greater value on tools that can track high-volume AI-generated lures across email, identity, browser, and cloud channels in a single workflow.

Expansion of AI Attack Surface Across Model, Data, and API Layers

The Generative Artificial Intelligence (AI) in Cyber Defense Market is also being driven by the spread of enterprise AI deployments, which create new risks across prompt layers, model behavior, training data, and connected APIs. OWASP identified prompt injection as the leading vulnerability class in its 2025 Top 10 for Large Language Model Applications, which pushed many enterprises to treat AI-specific monitoring as a core control rather than an experimental add-on. CrowdStrike stated in December 2025 that the AI prompt and agent interaction layer had become one of the fastest-growing enterprise attack surfaces, which reinforced demand for controls built for AI-native workflows. Each new AI application multiplies the boundaries of trust across models, identities, data lineage, and tool calls, making repurposed perimeter controls less effective in the Generative Artificial Intelligence (AI) in Cyber Defense Market. This change is moving spending toward platforms that can observe model behavior, validate prompts, monitor agent interactions, and flag suspicious API movement in real time. It is also expanding the role of AI security beyond classic cyber defense to include model governance and runtime policy enforcement.

Lack of Standardized Benchmarks for AI Security Validation

The Generative Artificial Intelligence (AI) in Cyber Defense Market still faces slower enterprise adoption because buyers lack a widely accepted way to compare vendor performance under live adversarial conditions. NISTIR 8596 is still in preliminary form, which means one of the most visible public frameworks for AI cybersecurity alignment has not yet reached final status. MITRE's AI Assurance Landscape mapped more than 50 frameworks and 66 assurance needs, which shows that the field has many overlapping references but not one standard benchmark that enterprises can use with confidence in procurement. OWASP's Artificial Intelligence Security Verification Standard effort adds useful testable requirements, but it does not yet carry the same institutional weight as more mature enterprise security standards. The Generative Artificial Intelligence (AI) in Cyber Defense Market, therefore, still relies too heavily on vendor demonstrations and case studies, which can lengthen sales cycles and favor large incumbents with established brands. This also weakens buyers' ability to connect AI security spend with measurable insurance or board-level risk outcomes.

Other drivers and restraints analyzed in the detailed report include:

1. Security Operations Center Automation to offset Analyst Shortages
2. AI Governance and Auditability Requirements in Regulated Industries
3. Liability Uncertainty For Autonomous Security Actions

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

Segment Analysis

Software held 62.14% of the Generative Artificial Intelligence (AI) in Cyber Defense market in 2025, confirming that AI-native platforms remain the primary procurement unit for enterprise buyers. This part of the Generative Artificial Intelligence (AI) in Cyber Defense Market includes security copilots, AI security platforms, threat intelligence tools, security analytics engines, and vulnerability management platforms that now sit closer to the center of the security stack. Platform bundling is reinforcing that lead, as Microsoft announced that Security Copilot would be included with Microsoft 365 E5 through a phased rollout starting April 20, 2026, lowering the incremental barrier to AI security adoption across its installed base. Microsoft also stated in May 2026 that its multi-model agentic scanning harness discovered 16 previously unknown vulnerabilities in the Windows networking stack, indicating that software platforms are moving from assistance to direct discovery and validation work. As a result, buyers in the Generative Artificial Intelligence (AI) in Cyber Defense industry are increasingly treating software as a control layer that consolidates threat interpretation, investigative support, and remediation guidance across a single environment.

Services are projected to expand at a 27.41% CAGR through 2031, making them the fastest-growing offering in the Generative Artificial Intelligence (AI) in Cyber Defense Market. Growth is coming from managed AI security operations, adversarial red teaming, AI governance support, and continuous monitoring programs that many internal teams still cannot run on their own. IBM entered the OpenAI Daybreak Cyber Partner Program in June 2026 and launched an AI-powered application security service under Project Lightwell, backed by a USD 5 billion commitment from IBM and Red Hat, which shows how services are being rebuilt around AI-enabled delivery. The stronger growth rate for services also reflects the reality that many enterprises need help turning AI platforms into repeatable operating models with audit trails, policy controls, and measurable outcomes. The Generative Artificial Intelligence (AI) in Cyber Defense industry is therefore moving toward a blended model in which software builds the platform layer, while services supply the scarce expertise that keeps it effective.

Security Operations and SOC Augmentation accounted for 20.18% of the Generative Artificial Intelligence (AI) in Cyber Defense Market in 2025, which made it the largest application area by current spending. This share reflects the immediate pressure to reduce analyst overload before buyers expand into broader use cases such as simulation, content generation, and posture management. The SANS 2025 SOC survey found wide AI adoption but limited workflow maturity, which helps explain why SOC augmentation continues to attract first-wave budgets in the Generative Artificial Intelligence (AI) in Cyber Defense Market. Threat intelligence, security content generation, and security automation remain closely linked follow-on purchases, because organizations that start with SOC copilots usually extend AI into adjacent tasks along the incident response cycle. Adversarial simulation and red teaming are also gaining budget priority as AI-assisted attacks change faster than static playbooks can keep pace.

Exposure Management and Security Posture Analysis is projected to expand at a 27.52% CAGR through 2031, making it the fastest-growing application in the Generative Artificial Intelligence (AI) in Cyber Defense Market. That pattern shows that mature security teams are moving marginal investment toward identifying exploitable gaps before they are used, rather than simply adding more alert review capacity. SentinelOne launched Wayfinder Frontier AI Services in April 2026 by pairing Anthropic's Claude Opus 4.7 with offensive and defensive experts for continuous attack surface discovery and prioritized remediation, which is a direct example of how this application is being commercialized. Generative models can now connect cloud, identity, endpoint, and model-layer signals quickly enough to produce clearer exposure maps than manual analysis could previously. The Generative Artificial Intelligence (AI) in Cyber Defense Market is therefore widening from reactive security support into proactive risk quantification and AI-specific posture management.

Complete Report Scope:

• By Offering
  • Software
    • Security Copilots
    • AI Security Platforms
    • Threat Intelligence Platforms
    • Security Analytics Platforms
    • Vulnerability Management Platforms
  • Services
• By Application
  • Security Operations and SOC Augmentation
  • Threat Intelligence and Threat Analysis
  • Vulnerability Management and Exposure Analysis
  • Security Content Generation
  • Security Automation and Orchestration
  • Adversarial Simulation and Red Teaming
• By Security Type
  • Infrastructure Security
    • Network Security
    • Cloud Security
    • Endpoint Security
  • Application Security
  • Identity and Access Management
  • Data Security
• 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 33.19% of the Generative Artificial Intelligence (AI) in Cyber Defense market size in 2025, which kept it as the largest regional segment in the Generative Artificial Intelligence (AI) in Cyber Defense Market. The United States continues to anchor demand because large enterprises, federal agencies, and major vendors are concentrated in the same ecosystem. The White House issued an executive order in June 2026 that directed federal support toward advanced AI innovation and security, including grant pathways for AI vulnerability detection, thereby reinforcing policy backing for this area. Canada also added to the regional base when Budget 2025 allocated CAD 925.6 million, USD 662.1 million, over five years for large-scale sovereign AI infrastructure, which strengthens demand for related AI security controls. The region's strength is further reinforced by the presence of Microsoft, CrowdStrike, Palo Alto Networks, SentinelOne, IBM, and Google, which continue to release and expand commercial platforms faster than in most other geographies.

Europe remains the second-largest regional block in the Generative Artificial Intelligence (AI) in Cyber Defense Market, while Asia-Pacific is projected to record the fastest CAGR at 28.07% through 2031. Europe's demand pattern is strongly shaped by the EU AI Act, whose high-risk provisions became enforceable on August 2, 2026, and created direct demand for monitoring, logging, and governance tools. Germany, the United Kingdom, and France remain the main regional anchors, with German industry investing in AI-powered operational technology protection and the UK National Cyber Security Center guiding enterprise adoption through published threat assessments. Asia-Pacific is expanding faster because digital transformation, state-backed cyber priorities, and cloud-native growth are widening the addressable base across China, India, Japan, South Korea, and Australia. NRI Secure Technologies reported in February 2026 that Japan's generative AI utilization rate rose from 65.3% in 2024 to 83.2% in 2025, suggesting a significant future conversion opportunity as current use deepens from internal work to system-level security deployment.

South America remains an emerging market for Generative Artificial Intelligence (AI) in Cyber Defense, with Brazil and Argentina as the main demand centers. Brazil is the more advanced adopter because banks and digital finance providers are using AI-powered fraud monitoring and cyber defense in response to tighter digital banking and data protection expectations. The Middle East and Africa are more uneven, with Saudi Arabia and the United Arab Emirates investing aggressively in AI and cyber defense, while much of Sub-Saharan Africa remains earlier in its deployment maturity. The Generative Artificial Intelligence (AI) in Cyber Defense Market is still likely to deepen gradually across both regions as fintech growth, cloud buildout, sovereign digital programs, and compliance expectations create a larger base for AI-native security tools.

1. Microsoft Corporation
2. International Business Machines Corporation
3. Google LLC
4. CrowdStrike, Inc.
5. Palo Alto Networks, Inc.
6. SentinelOne, Inc.
7. Darktrace Holdings Limited
8. Fortinet, Inc.
9. Zscaler, Inc.
10. Trellix
11. Check Point Software Technologies Ltd.
12. Cisco Systems, Inc.
13. Trend Micro Incorporated
14. Sophos Limited
15. Rapid7, Inc.
16. Tenable Holdings, Inc.
17. BlackBerry Limited
18. Abnormal Security Corporation
19. Snyk Limited
20. Lakera 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 Rising AI-Enabled Attack Volume and Speed
  • 4.2.2 Expansion of AI Attack Surface Across Model, Data, and API Layers
  • 4.2.3 Security Operations Center Automation to Offset Analyst Shortages
  • 4.2.4 AI Governance and Auditability Requirements in Regulated Industries
  • 4.2.5 Confidential Computing Demand for Multi-Tenant GenAI Workloads
  • 4.2.6 Adversarial Red Teaming and Simulation Demand
• 4.3 Market Restraints
  • 4.3.1 Lack of Standardized Benchmarks for AI Security Validation
  • 4.3.2 Liability Uncertainty for Autonomous Security Actions
  • 4.3.3 Integration Friction With Legacy Security Stacks
  • 4.3.4 High Tuning Effort for False Positive Reduction in Dynamic AI 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 Offering
  • 5.1.1 Software
    • 5.1.1.1 Security Copilots
    • 5.1.1.2 AI Security Platforms
    • 5.1.1.3 Threat Intelligence Platforms
    • 5.1.1.4 Security Analytics Platforms
    • 5.1.1.5 Vulnerability Management Platforms
  • 5.1.2 Services
• 5.2 By Application
  • 5.2.1 Security Operations and SOC Augmentation
  • 5.2.2 Threat Intelligence and Threat Analysis
  • 5.2.3 Vulnerability Management and Exposure Analysis
  • 5.2.4 Security Content Generation
  • 5.2.5 Security Automation and Orchestration
  • 5.2.6 Adversarial Simulation and Red Teaming
• 5.3 By Security Type
  • 5.3.1 Infrastructure Security
    • 5.3.1.1 Network Security
    • 5.3.1.2 Cloud Security
    • 5.3.1.3 Endpoint Security
  • 5.3.2 Application Security
  • 5.3.3 Identity and Access Management
  • 5.3.4 Data Security
• 5.4 By Deployment
  • 5.4.1 Cloud
  • 5.4.2 On-Premises
  • 5.4.3 Hybrid
• 5.5 By Enterprise Size
  • 5.5.1 Large Enterprises
  • 5.5.2 Small and Medium Enterprises
• 5.6 By End-user Industry
  • 5.6.1 Government and Public Administration
  • 5.6.2 Industrial Manufacturing
  • 5.6.3 Retail and E-Commerce
  • 5.6.4 Transportation and Logistics
  • 5.6.5 Energy and Utilities
  • 5.6.6 Oil and Gas
  • 5.6.7 IT and Telecommunication
  • 5.6.8 Media and Entertainment
  • 5.6.9 Education and Research Institutions
  • 5.6.10 Healthcare and Life Sciences
  • 5.6.11 Banking, Financial Services, and Insurance (BFSI)
• 5.7 By Geography
  • 5.7.1 North America
    • 5.7.1.1 United States
    • 5.7.1.2 Canada
    • 5.7.1.3 Mexico
  • 5.7.2 South America
    • 5.7.2.1 Brazil
    • 5.7.2.2 Argentina
    • 5.7.2.3 Rest of South America
  • 5.7.3 Europe
    • 5.7.3.1 Germany
    • 5.7.3.2 United Kingdom
    • 5.7.3.3 France
    • 5.7.3.4 Italy
    • 5.7.3.5 Spain
    • 5.7.3.6 Russia
    • 5.7.3.7 Rest of Europe
  • 5.7.4 Asia-Pacific
    • 5.7.4.1 China
    • 5.7.4.2 India
    • 5.7.4.3 Japan
    • 5.7.4.4 South Korea
    • 5.7.4.5 Australia
    • 5.7.4.6 Rest of Asia-Pacific
  • 5.7.5 Middle East and Africa
    • 5.7.5.1 Middle East
      • 5.7.5.1.1 Saudi Arabia
      • 5.7.5.1.2 United Arab Emirates
      • 5.7.5.1.3 Rest of Middle East
    • 5.7.5.2 Africa
      • 5.7.5.2.1 South Africa
      • 5.7.5.2.2 Nigeria
      • 5.7.5.2.3 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 Microsoft Corporation
  • 6.4.2 International Business Machines Corporation
  • 6.4.3 Google LLC
  • 6.4.4 CrowdStrike, Inc.
  • 6.4.5 Palo Alto Networks, Inc.
  • 6.4.6 SentinelOne, Inc.
  • 6.4.7 Darktrace Holdings Limited
  • 6.4.8 Fortinet, Inc.
  • 6.4.9 Zscaler, Inc.
  • 6.4.10 Trellix
  • 6.4.11 Check Point Software Technologies Ltd.
  • 6.4.12 Cisco Systems, Inc.
  • 6.4.13 Trend Micro Incorporated
  • 6.4.14 Sophos Limited
  • 6.4.15 Rapid7, Inc.
  • 6.4.16 Tenable Holdings, Inc.
  • 6.4.17 BlackBerry Limited
  • 6.4.18 Abnormal Security Corporation
  • 6.4.19 Snyk Limited
  • 6.4.20 Lakera Inc.

7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK

• 7.1 White-Space and Unmet-Need Assessment