사이버 보안 에이전트형 AI 시장 규모, 점유율, 동향 및 성장 분석 보고서(2026-2034년)

The global cybersecurity agentic AI market size is expected to reach USD 27.75 Billion in 2034 from USD 2.30 Billion in 2025, growing at a CAGR of 31.88 during 2026-2034.The global cybersecurity agentic AI market is experiencing robust growth as organizations face increasingly advanced cyber threats. Agentic AI systems can autonomously detect suspicious activity, analyze attack patterns, and initiate rapid responses without waiting for human intervention. Growing digitalization, cloud migration, and rising ransomware incidents are pushing enterprises to adopt intelligent security automation tools.

A key market driver is the shortage of skilled cybersecurity professionals worldwide. Agentic AI helps security teams by monitoring vast volumes of data continuously and prioritizing real threats over false alerts. It also improves incident response speed, vulnerability management, and compliance monitoring. Businesses are increasingly investing in AI-powered defense systems to strengthen resilience and reduce breach risks.

Future prospects for the market are highly favorable as cyberattacks become more sophisticated and frequent. Agentic AI is expected to evolve into self-learning security platforms capable of proactive defense and adaptive threat hunting. Governments, financial institutions, and healthcare providers are likely to remain major adopters, creating strong long-term demand for autonomous cybersecurity solutions.

Our reports are carefully developed to deliver comprehensive and actionable insights across a wide range of industries and markets. Each report includes several essential components designed to provide a complete understanding of the market environment:

Market Overview: This section provides a clear introduction to the market, including key definitions, classifications, and an overview of the current industry landscape.

Market Dynamics: A detailed evaluation of the primary drivers, restraints, opportunities, and challenges shaping market growth. It covers factors such as technological developments, regulatory frameworks, and evolving industry trends.

Segmentation Analysis: A structured breakdown of the market into key segments based on product type, application, end-user, and geographic region. This section highlights the performance, growth potential, and contribution of each segment.

Competitive Landscape: An in-depth assessment of leading market participants, including their market positioning, product portfolios, strategic initiatives, and financial performance. It provides valuable insights into competitive dynamics and the strategies adopted by key players.

Market Forecast: Data-driven projections of market size and growth patterns over a defined forecast period. This section incorporates historical trends, current market conditions, and quantitative analysis to illustrate expected future developments.

Regional Analysis: A comprehensive review of market performance across major geographic regions, identifying high-growth areas and regional trends to better understand localized market opportunities.

Emerging Trends and Opportunities: Identification of significant market trends, technological advancements, and new investment opportunities. This section highlights potential growth areas and future industry developments.

Customization Options: We offer flexible customization services to tailor reports according to specific client requirements. This may include additional segmentation, country-level analysis, competitor profiling, customized data points, or focused insights on particular market segments to better support strategic decision-making.

MARKET SEGMENTATION

By Component

• Software Platforms
• Services (MDR, Advisory, Integration)
• Hardware Accelerators (AI-optimised silicon, sensors)

By Security Layer

• Network Security
• Endpoint Security
• Application Security
• Cloud and SaaS Security
• Identity and Access Management
• OT / IoT Security

By Deployment Mode

• Cloud-native
• On-premises
• Hybrid

By Organisation Size

• Large Enterprises
• Small and Mid-sized Enterprises

By Industry Vertical

• BFSI
• Healthcare and Life Sciences
• Government and Defence
• IT and Telecom
• Manufacturing
• Retail and E-Commerce
• Energy and Utilities

COMPANIES PROFILED

• Amazon Web Services, Arctic Wolf Networks, Check Point Software Technologies, Cisco Systems (includes Splunk), CrowdStrike Holdings, Darktrace, Elastic N.V., Fortinet, Google, IBM, Microsoft, Noma Security, Okta, Palo Alto Networks, Rapid7, SentinelOne, Sophos, Trend Micro, Vectra AI, Zscaler

TABLE OF CONTENTS

Chapter 1. PREFACE

• 1.1. Market Segmentation & Scope
• 1.2. Market Definition
• 1.3. Information Procurement
  • 1.3.1 Information Analysis
  • 1.3.2 Market Formulation & Data Visualization
  • 1.3.3 Data Validation & Publishing
• 1.4. Research Scope and Assumptions
  • 1.4.1 List of Data Sources

Chapter 2. EXECUTIVE SUMMARY

• 2.1. Market Snapshot
• 2.2. Segmental Outlook
• 2.3. Competitive Outlook

Chapter 3. MARKET VARIABLES, TRENDS, FRAMEWORK

• 3.1. Market Lineage Outlook
• 3.2. Penetration & Growth Prospect Mapping
• 3.3. Value Chain Analysis
• 3.4. Regulatory Framework
  • 3.4.1 Standards & Compliance
  • 3.4.2 Regulatory Impact Analysis
• 3.5. Market Dynamics
  • 3.5.1 Market Drivers
  • 3.5.2 Market Restraints
  • 3.5.3 Market Opportunities
  • 3.5.4 Market Challenges
• 3.6. Porter's Five Forces Analysis
• 3.7. PESTLE Analysis

Chapter 4. GLOBAL CYBERSECURITY AGENTIC AI MARKET: BY COMPONENT 2022-2034 (USD MN)

• 4.1. Market Analysis, Insights and Forecast Component
• 4.2. Software Platforms Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 4.3. Services (MDR, Advisory, Integration) Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 4.4. Hardware Accelerators (AI-optimised silicon, sensors) Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 5. GLOBAL CYBERSECURITY AGENTIC AI MARKET: BY SECURITY LAYER 2022-2034 (USD MN)

• 5.1. Market Analysis, Insights and Forecast Security Layer
• 5.2. Network Security Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.3. Endpoint Security Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.4. Application Security Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.5. Cloud and SaaS Security Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.6. Identity and Access Management Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.7. OT / IoT Security Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 6. GLOBAL CYBERSECURITY AGENTIC AI MARKET: BY DEPLOYMENT MODE 2022-2034 (USD MN)

• 6.1. Market Analysis, Insights and Forecast Deployment Mode
• 6.2. Cloud-native Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 6.3. On-premises Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 6.4. Hybrid Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 7. GLOBAL CYBERSECURITY AGENTIC AI MARKET: BY ORGANISATION SIZE 2022-2034 (USD MN)

• 7.1. Market Analysis, Insights and Forecast Organisation Size
• 7.2. Large Enterprises Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 7.3. Small and Mid-sized Enterprises Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 8. GLOBAL CYBERSECURITY AGENTIC AI MARKET: BY INDUSTRY VERTICAL 2022-2034 (USD MN)

• 8.1. Market Analysis, Insights and Forecast Industry Vertical
• 8.2. BFSI Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 8.3. Healthcare and Life Sciences Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 8.4. Government and Defence Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 8.5. IT and Telecom Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 8.6. Manufacturing Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 8.7. Retail and E-Commerce Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 8.8. Energy and Utilities Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 9. GLOBAL CYBERSECURITY AGENTIC AI MARKET: BY REGION 2022-2034 (USD MN)

• 9.1. Regional Outlook
• 9.2. North America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 9.2.1 By Component
  • 9.2.2 By Security Layer
  • 9.2.3 By Deployment Mode
  • 9.2.4 By Organisation Size
  • 9.2.5 By Industry Vertical
  • 9.2.6 United States
  • 9.2.7 Canada
  • 9.2.8 Mexico
• 9.3. Europe Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 9.3.1 By Component
  • 9.3.2 By Security Layer
  • 9.3.3 By Deployment Mode
  • 9.3.4 By Organisation Size
  • 9.3.5 By Industry Vertical
  • 9.3.6 United Kingdom
  • 9.3.7 France
  • 9.3.8 Germany
  • 9.3.9 Italy
  • 9.3.10 Russia
  • 9.3.11 Rest Of Europe
• 9.4. Asia-Pacific Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 9.4.1 By Component
  • 9.4.2 By Security Layer
  • 9.4.3 By Deployment Mode
  • 9.4.4 By Organisation Size
  • 9.4.5 By Industry Vertical
  • 9.4.6 India
  • 9.4.7 Japan
  • 9.4.8 South Korea
  • 9.4.9 Australia
  • 9.4.10 South East Asia
  • 9.4.11 Rest Of Asia Pacific
• 9.5. Latin America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 9.5.1 By Component
  • 9.5.2 By Security Layer
  • 9.5.3 By Deployment Mode
  • 9.5.4 By Organisation Size
  • 9.5.5 By Industry Vertical
  • 9.5.6 Brazil
  • 9.5.7 Argentina
  • 9.5.8 Peru
  • 9.5.9 Chile
  • 9.5.10 Rest of Latin America
• 9.6. Middle East & Africa Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 9.6.1 By Component
  • 9.6.2 By Security Layer
  • 9.6.3 By Deployment Mode
  • 9.6.4 By Organisation Size
  • 9.6.5 By Industry Vertical
  • 9.6.6 Saudi Arabia
  • 9.6.7 UAE
  • 9.6.8 Israel
  • 9.6.9 South Africa
  • 9.6.10 Rest of the Middle East And Africa

Chapter 10. COMPETITIVE LANDSCAPE

• 10.1. Recent Developments
• 10.2. Company Categorization
• 10.3. Supply Chain & Channel Partners (based on availability)
• 10.4. Market Share & Positioning Analysis (based on availability)
• 10.5. Vendor Landscape (based on availability)
• 10.6. Strategy Mapping

Chapter 11. COMPANY PROFILES OF GLOBAL CYBERSECURITY AGENTIC AI INDUSTRY

• 11.1. Top Companies Market Share Analysis
• 11.2. Company Profiles
  • 11.2.1 Amazon Web Services
  • 11.2.2 Arctic Wolf Networks
  • 11.2.3 Check Point Software Technologies
  • 11.2.4 Cisco Systems (includes Splunk)
  • 11.2.5 CrowdStrike Holdings
  • 11.2.6 Darktrace
  • 11.2.7 Elastic N.V
  • 11.2.8 Fortinet
  • 11.2.9 Google
  • 11.2.10 IBM
  • 11.2.11 Microsoft
  • 11.2.12 Noma Security
  • 11.2.13 Okta
  • 11.2.14 Palo Alto Networks
  • 11.2.15 Rapid7
  • 11.2.16 SentinelOne
  • 11.2.17 Sophos
  • 11.2.18 Trend Micro
  • 11.2.19 Vectra AI
  • 11.2.20 Zscaler