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市場調查報告書
商品編碼
2027693

全球網路安全代理型人工智慧市場規模、佔有率、趨勢和成長分析報告（2026-2034）

Global Cybersecurity Agentic AI Market Size, Share, Trends & Growth Analysis Report 2026-2034
出版日期: | 出版商: Value Market Research | 英文 216 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

全球網路安全代理型人工智慧市場預計將從2025年的18.3億美元成長至2034年的328.1億美元，2026年至2034年的複合年成長率（CAGR）將達到37.81%。隨著企業面臨日益複雜的網路威脅，該市場正經歷強勁成長。代理型人工智慧系統能夠自主偵測可疑活動、分析攻擊模式並快速回應，無需人工干預。數位化進程的推進、向雲端遷移以及勒索軟體攻擊的日益增多，正迫使企業採用智慧安全自動化工具。

網路安全專業人才的全球短缺是推動市場成長的主要因素之一。基於代理的人工智慧透過持續監控大量數據，並優先處理真實威脅而非誤報，從而輔助安全團隊。它還有助於加快事件回應、漏洞管理和合規性監控。企業正擴大投資於人工智慧驅動的防禦系統，以增強韌性並降低安全漏洞風險。

隨著網路攻擊日益複雜頻繁，市場前景十分光明。智慧體人工智慧有望發展成為能夠主動防禦和自適應威脅搜尋的自學習安全平台。政府機構、金融機構和醫療服務提供者將繼續成為主要採用者，從而對自主網路安全解決方案產生強勁的長期需求。

我們的報告經過精心撰寫，旨在提供涵蓋廣泛行業和市場的全面且切實可行的洞察。每份報告都包含幾個關鍵組成部分，旨在幫助您全面了解市場環境：

市場概覽：本節提供清晰的市場概覽，包括關鍵定義、分類和當前產業格局。

市場動態：對影響市場成長的主要促進因素、限制因素、機會和挑戰進行詳細評估。這包括技術發展、法律規範和不斷變化的行業趨勢等因素。

市場區隔分析：本部分依據產品類型、應用、最終使用者和地區，將市場系統性地分類為若干關鍵細分市場。本部分揭示了每個細分市場的表現、成長潛力和貢獻。

競爭格局：我們對主要市場參與企業的市場定位、產品系列、策略舉措和財務表現進行了詳細評估。這為了解競爭對手的趨勢和主要參與者所採取的策略提供了寶貴的見解。

市場預測：本預測是基於指定預測期內的市場規模和成長模式數據。本節結合歷史趨勢、當前市場狀況和定量分析，揭示未來預期趨勢。

區域分析：我們全面檢驗主要地理區域的市場趨勢，並識別高成長領域和區域趨勢，以更深入地了解每個區域的市場機會。

新趨勢與新機會：識別關鍵市場趨勢、技術進步和新興投資機會。本部分重點在於潛在成長領域和未來產業趨勢。

客製化選項：我們提供靈活的客製化服務，可根據您的具體需求自訂報告。這包括額外的細分、特定國家/地區的分析、競爭對手分析、客製化資料點，或針對特定細分市場的深入洞察，以更好地支援您的策略決策。

目錄

第1章：引言

第2章執行摘要

第3章 市場變數、趨勢與框架

  • 市場譜系展望
  • 滲透率和成長前景分析
  • 價值鏈分析
  • 法律規範
    • 標準與合規性
    • 監管影響分析
  • 市場動態
    • 市場促進因素
    • 市場限制因素
    • 市場機遇
    • 市場挑戰
  • 波特五力分析
  • PESTLE分析

第4章：全球網路安全代理人工智慧市場：按組件分類

  • 市場分析、洞察與預測
  • 軟體平台
  • 服務（MDR、諮詢、整合）
  • 硬體加速器（AI最佳化晶片、感測器）

第5章：全球網路安全代理人工智慧市場：依安全層分類

  • 市場分析、洞察與預測
  • 網路安全
  • 端點安全
  • 應用程式安全
  • 雲端和SaaS安全
  • 身分和存取管理
  • OT/IoT 安全

第6章：全球網路安全基於代理的人工智慧市場：按部署模式分類

  • 市場分析、洞察與預測
  • 雲端原生
  • 現場
  • 混合

第7章 全球網路安全基於代理的人工智慧市場：按組織規模分類

  • 市場分析、洞察與預測
  • 大公司
  • 小型企業

第8章：全球網路安全代理人工智慧市場：按產業分類

  • 市場分析、洞察與預測
  • BFSI
  • 醫療保健和生命科學
  • 政府/國防
  • IT/通訊
  • 製造業
  • 零售與電子商務
  • 能源公用事業

第9章 全球網路安全代理人工智慧市場：按地區分類

  • 區域分析
  • 北美市場分析、洞察與預測
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲市場分析、洞察與預測
    • 英國
    • 法國
    • 德國
    • 義大利
    • 俄羅斯
    • 其他歐洲國家
  • 亞太市場分析、洞察與預測
    • 印度
    • 日本
    • 韓國
    • 澳洲
    • 東南亞
    • 其他亞太國家
  • 拉丁美洲市場分析、洞察與預測
    • 巴西
    • 阿根廷
    • 秘魯
    • 智利
    • 其他拉丁美洲國家
  • 中東和非洲市場分析、洞察與預測
    • 沙烏地阿拉伯
    • UAE
    • 以色列
    • 南非
    • 其他中東和非洲國家

第10章 競爭格局

  • 最新趨勢
  • 公司分類
  • 供應鏈和銷售管道合作夥伴（根據現有資訊）
  • 市場佔有率和市場定位分析（基於現有資訊）
  • 供應商情況（基於現有資訊）
  • 策略規劃

第11章：公司簡介

  • 主要公司的市佔率分析
  • 公司簡介
    • Microsoft
    • IBM
    • Cisco
    • Google
    • Amazon Web Services
    • Palo Alto Networks
    • CrowdStrike
    • Fortinet
    • Splunk
    • Check Point Software Technologies
    • Zscaler
    • Trend Micro
    • SentinelOne
    • Darktrace
    • Rapid7
簡介目錄
Product Code: VMR112118133

The global cybersecurity agentic AI market report size is expected to reach USD 32.81 Billion in 2034 from USD 1.83 Billion in 2025, growing at a CAGR of 37.81 during 2026-2034.This 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

  • Microsoft, IBM, Cisco, Google, Amazon Web Services, Palo Alto Networks, CrowdStrike, Fortinet, Splunk, Check Point Software Technologies, Zscaler, Trend Micro, SentinelOne, Darktrace, Rapid7

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 Microsoft
    • 11.2.2 IBM
    • 11.2.3 Cisco
    • 11.2.4 Google
    • 11.2.5 Amazon Web Services
    • 11.2.6 Palo Alto Networks
    • 11.2.7 CrowdStrike
    • 11.2.8 Fortinet
    • 11.2.9 Splunk
    • 11.2.10 Check Point Software Technologies
    • 11.2.11 Zscaler
    • 11.2.12 Trend Micro
    • 11.2.13 SentinelOne
    • 11.2.14 Darktrace
    • 11.2.15 Rapid7