사이버 보안 에이전트형 AI : 시장 점유율 분석, 업계 동향 및 통계, 성장 전망(2026-2031년)

According to Mordor Intelligence, the cybersecurity agentic AI market size is projected to be USD 1.83 billion in 2025, USD 2.43 billion in 2026, and reach USD 9.63 billion by 2031, growing at a CAGR of 31.71% from 2026 to 2031.

This report is Segmented by Component (Software Platforms, and More), Security Level (Network Security, Endpoint Security, and More), Deployment (Cloud-Native, On-Premises, and Hybrid), Organization Size (Large Enterprises, and Small and Medium Enterprises), Industry Vertical (BFSI, Healthcare and Life Sciences, and More), and Geography. The Market Forecasts are Provided in Terms of Value (USD).

Global Cybersecurity Agentic AI Market Trends and Insights

Real-Time Threat Mitigation Via Autonomous Response Loops

The cybersecurity agentic AI market is growing as threat activity outpaces manual triage models. CrowdStrike reported in March 2026 that adversaries reduced breakout time to 29 minutes, leaving little room for analyst-led containment. Autonomous response loops are crucial because they integrate investigation, prioritization, and containment into a single process, avoiding delays caused by team handoffs. IBM's Autonomous Threat Operations Machine, launched in April 2025, demonstrates this shift by using multi-agent workflows and domain-specific models for triage and remediation with minimal human input. These loops create a feedback effect, generating data to enhance future detection and response.

Explosion of Machine-Generated Attack Surfaces in Multi-Cloud Environments

The cybersecurity agentic AI market is expanding as AI-enabled workloads increase the attack surface for security teams. Cisco noted in February 2026 that enterprises seek AI-aware policy enforcement as agentic workloads spread across clouds, driving demand for autonomous security controls. Palo Alto Networks' 2025 research found that 99% of organizations using AI in production experienced at least one attack on their AI systems, with 41% reporting increased API attacks. Orca Security found 55% of organizations used two or more cloud providers in 2025, up from 12% in 2024, highlighting a fragmented identity and policy environment. This strengthens demand for security systems that interpret context and coordinate actions across clouds, APIs, and trust zones.

Adversarial AI and Model Poisoning Risks

The cybersecurity agentic AI market faces challenges as the same autonomy that enhances defense can amplify damage if models or data pipelines are compromised. OWASP identifies data and model poisoning as critical risks, including backdoor insertion, output manipulation, and denial-of-service attacks. Research at ICLR 2025 revealed that even a 0.1% poisoning rate during pre-training can persist into deployed models. Google's Threat Intelligence Group documented AI misuse by threat actors in 2025, showing its practical application in cyberattacks. These risks may slow adoption in regulated sectors, as buyers impose stricter permissions, narrower deployment scopes, or demand extensive validation before allowing autonomous actions in production systems.

Other drivers and restraints analyzed in the detailed report include:

1. Chronic Cyber Workforce Shortage Accelerating AI Security Adoption
2. Regulatory Mandates for AI-Driven Continuous Controls Monitoring
3. Limited Explainability of Agentic AI Decisions

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

Segment Analysis

Software platforms held a 39.71% share in 2025, reflecting enterprise preference for integrated agentic orchestration across endpoint, cloud, identity, and network telemetry. This segment benefits from shared policy, memory, and unified response logic, simplifying autonomous actions at scale. Fragmented agent deployments are seen as a risk due to inconsistent decisions and duplicate actions. Services remained the second-largest component as many organizations require external support for deployment, workflow redesign, policy mapping, and model governance.

Service demand is increasingly recurring as buyers shift from one-time implementation to ongoing tuning and oversight. GitLab's 2025 public beta of the Duo Agent Platform highlighted how orchestration extends into development and security workflows, driving advisory and integration needs. Hardware accelerators are projected to grow at a 32.31% CAGR through 2031, driven by the need for local inference in latency-sensitive environments. This shift positions hardware as a key enabler of real-time autonomous defense in edge and high-speed settings, reducing reliance on slower cloud round-trip times.

Network security commanded a 28.23% share of the cybersecurity agentic AI market in 2025 because network telemetry still provides the broadest real-time view of east-west movement, lateral escalation, and policy violations. For many enterprises, the network layer remains the backbone that allows agentic systems to correlate behavior across assets and environments. Endpoint security also retained a strong position because it is often the easiest place to introduce autonomous investigation and guided remediation into an existing security stack. This has made endpoint platforms a common entry point for agentic adoption in the cybersecurity agentic AI market.

SentinelOne reported in March 2026 that its Purple AI autonomous investigation capability was included in over 50% of licenses sold in Q4 FY26, highlighting how endpoint vendors leverage their installed base to distribute agentic features. Cloud and SaaS security and IAM are also growing as organizations handle an increasing number of non-human identities and API-driven access paths. OT and IoT security, the fastest-growing segment at a 33.31% CAGR through 2031, is driven by the rapid convergence of digital and physical infrastructure. The cybersecurity agentic AI market is shifting toward platforms that interpret both network intent and operational context, rather than just detecting anomalies.

Geography Analysis

North America accounted for 34.86% of the cybersecurity agentic AI market in 2025, driven by its strong vendor base and early enterprise adoption. Policies promoting continuous monitoring and cyber resilience in regulated sectors further support growth. ISC2 reported in December 2025 that critical cybersecurity skill gaps in the region are boosting demand for platforms that reduce manual effort. Market growth is also tied to enterprise contract expansions, with customers adopting agentic functions through broader platform relationships rather than stand-alone purchases.

Asia-Pacific is projected to grow at a 32.71% CAGR through 2031, making it the fastest-growing regional market. This growth is fueled by rapid digital expansion, multi-cloud adoption, and concerns over AI-enabled attacks. Organizations in the region are scaling cyber defenses faster than they can expand skilled security teams. Critical infrastructure modernization and distributed environment monitoring also drive demand, though data localization rules and regulatory maturity may create uneven opportunities.

Europe ranked third in 2025, with demand focused on financial services, manufacturing, and critical infrastructure, where governance and documentation are as important as detection. Research published in AI and Ethics in 2026 highlighted Europe's emphasis on transparency and explainability, supporting demand for auditable autonomous systems. The Middle East and Africa are growing from a smaller base through digital transformation programs, while South America is gradually expanding amid rising ransomware threats and financial sector digitization. Both regions are in an early development stage,s but show increasing demand for scalable monitoring and response models.

1. CrowdStrike Holdings Inc.
2. Palo Alto Networks Inc.
3. Darktrace plc
4. SentinelOne Inc.
5. IBM Corporation
6. Microsoft Corporation
7. Cisco Systems Inc.
8. Fortinet Inc.
9. Check Point Software Technologies Ltd.
10. Trend Micro Incorporated
11. Rapid7 Inc.
12. Arctic Wolf Networks Inc.
13. Sophos Ltd.
14. Elastic N.V.
15. Google LLC
16. Amazon Web Services Inc.
17. Accenture plc
18. Noma Security
19. Vectra AI
20. Okta 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 Real-Time Threat Mitigation via Autonomous Response Loops
  • 4.2.2 Explosion of Machine-Generated Attack Surfaces in Multi-Cloud Environments
  • 4.2.3 Regulatory Mandates for AI-Driven Continuous Controls Monitoring
  • 4.2.4 Chronic Cyber Workforce Shortage Accelerating AI Security Adoption
  • 4.2.5 Integration of LLM Agents in DevSecOps Pipelines
  • 4.2.6 Growing Venture Funding for Specialized AI Security Startups
• 4.3 Market Restraints
  • 4.3.1 Adversarial AI and Model Poisoning Risks
  • 4.3.2 Limited Explainability of Agentic AI Decisions
  • 4.3.3 High Computational Costs of Training Security-Specific Foundation Models
  • 4.3.4 Fragmented Data Provenance Standards Across Jurisdictions
• 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 Suppliers
  • 4.8.2 Bargaining Power of Buyers
  • 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 Software Platforms
  • 5.1.2 Services (MDR, Advisory, Integration)
  • 5.1.3 Hardware Accelerators (AI-Optimized Silicon, Sensors)
• 5.2 By Security Level
  • 5.2.1 Network Security
  • 5.2.2 Endpoint Security
  • 5.2.3 Application Security
  • 5.2.4 Cloud and SaaS Security
  • 5.2.5 Identity and Access Management
  • 5.2.6 OT / IoT Security
• 5.3 By Deployment Mode
  • 5.3.1 Cloud-Native
  • 5.3.2 On-Premises
  • 5.3.3 Hybrid
• 5.4 By Organization Size
  • 5.4.1 Large Enterprises
  • 5.4.2 Small and Mid-Sized Enterprises
• 5.5 By Industry Vertical
  • 5.5.1 BFSI
  • 5.5.2 Healthcare and Life Sciences
  • 5.5.3 Government and Defense
  • 5.5.4 IT and Telecom
  • 5.5.5 Manufacturing
  • 5.5.6 Retail and E-Commerce
  • 5.5.7 Energy and Utilities
• 5.6 By Geography
  • 5.6.1 North America
    • 5.6.1.1 United States
    • 5.6.1.2 Canada
    • 5.6.1.3 Mexico
  • 5.6.2 South America
    • 5.6.2.1 Brazil
    • 5.6.2.2 Argentina
    • 5.6.2.3 Rest of South America
  • 5.6.3 Europe
    • 5.6.3.1 United Kingdom
    • 5.6.3.2 Germany
    • 5.6.3.3 France
    • 5.6.3.4 Italy
    • 5.6.3.5 Rest of Europe
  • 5.6.4 Asia-Pacific
    • 5.6.4.1 China
    • 5.6.4.2 Japan
    • 5.6.4.3 India
    • 5.6.4.4 South Korea
    • 5.6.4.5 Rest of Asia-Pacific
  • 5.6.5 Middle East and Africa
    • 5.6.5.1 Middle East
      • 5.6.5.1.1 United Arab Emirates
      • 5.6.5.1.2 Saudi Arabia
      • 5.6.5.1.3 Rest of Middle East
    • 5.6.5.2 Africa
      • 5.6.5.2.1 South Africa
      • 5.6.5.2.2 Egypt
      • 5.6.5.2.3 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 Palo Alto Networks Inc.
  • 6.4.3 Darktrace plc
  • 6.4.4 SentinelOne Inc.
  • 6.4.5 IBM Corporation
  • 6.4.6 Microsoft Corporation
  • 6.4.7 Cisco Systems Inc.
  • 6.4.8 Fortinet Inc.
  • 6.4.9 Check Point Software Technologies Ltd.
  • 6.4.10 Trend Micro Incorporated
  • 6.4.11 Rapid7 Inc.
  • 6.4.12 Arctic Wolf Networks Inc.
  • 6.4.13 Sophos Ltd.
  • 6.4.14 Elastic N.V.
  • 6.4.15 Google LLC
  • 6.4.16 Amazon Web Services Inc.
  • 6.4.17 Accenture plc
  • 6.4.18 Noma Security
  • 6.4.19 Vectra AI
  • 6.4.20 Okta Inc.

7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK

• 7.1 White-Space and Unmet-Need Assessment