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市場調查報告書
商品編碼
2130519

2026-2034年網路安全人工智慧（AI）全球市場規模、佔有率、趨勢和成長分析報告

Global Artificial Intelligence in Cybersecurity Market Size, Share, Trends & Growth Analysis Report 2026-2034
出版日期: | 出版商: Value Market Research | 英文 208 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

全球網路安全人工智慧 (AI) 市場預計將從 2025 年的 339.2 億美元成長至 2034 年的 2,168.2 億美元，並預計在 2026 年至 2034 年期間以 22.89% 的複合年成長率成長。推動市場擴張的因素是，各組織機構面臨日益複雜的網路威脅，這些威脅涵蓋雲端環境、連網設備、企業網路和數位應用程式等領域。人工智慧 (AI) 可以分析大量安全數據，識別異常活動，確定警報優先級，並幫助加快事件調查。隨著數位基礎設施的快速擴展，組織機構必須監控的安全事件數量也在增加。因此，企業正在採用 AI 驅動的網路安全解決方案，以提高威脅偵測能力，實現某些保全行動的自動化，並減輕安全團隊的負擔。

機器學習正被應用於行為分析、惡意軟體偵測、詐欺監控、漏洞辨識、安全事件的關聯分析。生成式人工智慧也正被探索用於自動化保全行動工作流程、威脅情報分析、調查支援和報告生成。人工智慧可以幫助安全團隊識別大規模資料集之間的關聯，而這些關聯很難透過人工檢測發現。同時，攻擊者也正在利用人工智慧來增強其網路釣魚、惡意軟體攻擊和社交工程技術，這進一步凸顯了防禦性人工智慧能力和持續安全監控的重要性。

未來發展趨勢受攻擊面擴大、雲端運算普及、遠距辦公、安全資料量成長等因素驅動。人工智慧驅動的安全平台有望提供更先進的自動化檢測、調查、回應和漏洞管理功能。可解釋性、資料隱私、模型安全以及抵禦惡意攻擊的能力將變得日益重要。企業也可能擴大將人工智慧與人類專家結合，而非僅依賴自動化決策。專業安全模型和整合平台的持續發展將進一步強化人工智慧在企業網路安全保全行動中的整體作用。

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：本節對市場進行了清晰的說明，包括關鍵定義、分類以及當前行業格局的概述。

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、成長潛力和市場貢獻。

競爭格局：我們對主要市場參與企業進行了詳細評估，包括其市場定位、產品系列、策略舉措和財務表現。這有助於深入了解競爭趨勢和主要參與者所採取的策略。

市場預測：本部分提供基於數據的市場規模和成長模式預測，預測期為指定時期。它結合歷史趨勢、當前市場狀況和定量分析，揭示未來發展趨勢。

區域分析：這包括對主要地理區域的市場表現進行全面檢驗，確定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：我們提供靈活的報告客製化服務，以滿足您的特定需求。這包括額外的細分、國家/地區分析、競爭對手分析、客製化資料點或針對特定細分市場的洞察，從而更有效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：全球網路安全人工智慧（AI）市場：按產品/服務分類

  • 市場分析、洞察與預測
  • 解決方案（應用安全、雲端安全、資料安全、身分和存取管理、基礎設施保護、整合風險管理、網路安全、終端安全）
  • 服務（專業服務、主機服務）

第5章：全球網路安全人工智慧（AI）市場：依部署模式分類

  • 市場分析、洞察與預測
  • 現場
  • 雲

第6章：全球網路安全人工智慧（AI）市場：依組織規模分類

  • 市場分析、洞察與預測
  • 大公司
  • 中小企業

第7章：全球網路安全人工智慧（AI）市場：按最終用戶產業分類

  • 市場分析、洞察與預測
  • BFSI
  • IT/通訊
  • 衛生保健
  • 零售與電子商務
  • 工業與國防
  • 能源公用事業
  • 製造業
  • 其他行業

第8章：全球網路安全人工智慧（AI）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
    • 西班牙
    • 俄羅斯
    • 其他歐洲國家
  • 亞太市場分析、洞察與預測
    • 中國
    • 日本
    • 韓國
    • 印度
    • 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9章 競爭情勢

  • 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10章：公司簡介

  • 主要公司的市佔率分析
  • 公司簡介
    • Darktrace Plc
    • Vectra AI Inc
    • SentinelOne Inc
    • CrowdStrike Holdings Inc
    • Palo Alto Networks Inc
    • Cylance Inc.
    • SparkCognition Inc
    • Fortinet Inc
    • Trellix
    • Sophos Limited
    • Check Point Software Technologies Ltd
    • Rapid7 Inc
    • LogRhythm
簡介目錄
Product Code: VMR11218855

The global artificial intelligence in cybersecurity market size is expected to reach USD 216.82 Billion in 2034 from USD 33.92 Billion in 2025, growing at a CAGR of 22.89% during 2026-2034.This market is growing as organizations face increasingly sophisticated cyber threats across cloud environments, connected devices, enterprise networks, and digital applications. Artificial intelligence can analyze large volumes of security data, identify unusual activity, prioritize alerts, and support faster incident investigation. The rapid expansion of digital infrastructure is creating more security events for organizations to monitor. Businesses are therefore adopting AI-enabled cybersecurity solutions to improve threat detection and automate selected security operations while reducing the burden on security teams.

Machine learning is being applied to behavioral analysis, malware detection, fraud monitoring, vulnerability identification, and security-event correlation. Generative AI is also being explored for security-operations workflows, threat intelligence analysis, investigation support, and automated reporting. AI can help security teams identify relationships across large datasets that may be difficult to detect manually. At the same time, attackers are also using AI to improve phishing, malware, and social-engineering techniques, increasing the importance of defensive AI capabilities and continuous security monitoring.

Future prospects are supported by expanding attack surfaces, cloud adoption, remote work, and the increasing volume of security data. AI-enabled security platforms are expected to provide more automated detection, investigation, response, and vulnerability-management capabilities. Explainability, data privacy, model security, and protection against adversarial manipulation will become increasingly important. Organizations are also likely to combine AI with human expertise rather than rely solely on automated decisions. Continued development of specialized security models and integrated platforms should strengthen AI's role across enterprise cybersecurity operations.

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 Offering

  • Solutions (Application Security, Cloud Security, Data Security, Identity and Access Management, Infrastructure Protection, Integrated Risk Management, Network Security, End-point Security)
  • Services (Professional Services, Managed Services)

By Deployment Mode

  • On-premise
  • Cloud

By Organization Size

  • Large Enterprises
  • Small and Medium-sized Enterprises (SMEs)

By End-user Industry

  • BFSI
  • IT and Telecom
  • Healthcare
  • Retail and E-commerce
  • Industrial and Defense
  • Energy and Utilities
  • Manufacturing
  • Other Industry Verticals

COMPANIES PROFILED

  • Darktrace plc, Vectra AI Inc., SentinelOne Inc., CrowdStrike Holdings Inc., Palo Alto Networks Inc., Cylance Inc., SparkCognition Inc., Fortinet Inc., Trellix, Sophos Limited, Check Point Software Technologies Ltd., Rapid7 Inc., LogRhythm

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 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET: BY OFFERING 2022-2034 (USD MN)

  • 4.1. Market Analysis, Insights and Forecast Offering
  • 4.2. Solutions (Application Security, Cloud Security, Data Security, Identity and Access Management, Infrastructure Protection, Integrated Risk Management, Network Security, End-point Security) Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 4.3. Services (Professional Services, Managed Services) Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 5. GLOBAL ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET: BY DEPLOYMENT MODE 2022-2034 (USD MN)

  • 5.1. Market Analysis, Insights and Forecast Deployment Mode
  • 5.2. On-premise Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 5.3. Cloud Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 6. GLOBAL ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET: BY ORGANIZATION SIZE 2022-2034 (USD MN)

  • 6.1. Market Analysis, Insights and Forecast Organization Size
  • 6.2. Large Enterprises Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 6.3. Small and Medium-sized Enterprises (SMEs) Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 7. GLOBAL ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET: BY END-USER INDUSTRY 2022-2034 (USD MN)

  • 7.1. Market Analysis, Insights and Forecast End-user Industry
  • 7.2. BFSI Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 7.3. IT and Telecom Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 7.4. Healthcare Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 7.5. Retail and E-commerce Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 7.6. Industrial and Defense Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 7.7. Energy and Utilities Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 7.8. Manufacturing Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 7.9. Other Industry Verticals Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 8. GLOBAL ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET: BY REGION 2022-2034 (USD MN)

  • 8.1. Regional Outlook
  • 8.2. North America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 8.2.1 By Offering
    • 8.2.2 By Deployment Mode
    • 8.2.3 By Organization Size
    • 8.2.4 By End-user Industry
    • 8.2.5 United States
    • 8.2.6 Canada
    • 8.2.7 Mexico
  • 8.3. Europe Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 8.3.1 By Offering
    • 8.3.2 By Deployment Mode
    • 8.3.3 By Organization Size
    • 8.3.4 By End-user Industry
    • 8.3.5 United Kingdom
    • 8.3.6 France
    • 8.3.7 Germany
    • 8.3.8 Italy
    • 8.3.9 Spain
    • 8.3.10 Russia
    • 8.3.11 Rest Of Europe
  • 8.4. Asia-Pacific Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 8.4.1 By Offering
    • 8.4.2 By Deployment Mode
    • 8.4.3 By Organization Size
    • 8.4.4 By End-user Industry
    • 8.4.5 China
    • 8.4.6 Japan
    • 8.4.7 South Korea
    • 8.4.8 India
    • 8.4.9 Australia
    • 8.4.10 South East Asia
    • 8.4.11 Rest Of Asia Pacific
  • 8.5. Latin America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 8.5.1 By Offering
    • 8.5.2 By Deployment Mode
    • 8.5.3 By Organization Size
    • 8.5.4 By End-user Industry
    • 8.5.5 Brazil
    • 8.5.6 Argentina
    • 8.5.7 Peru
    • 8.5.8 Chile
    • 8.5.9 Rest of Latin America
  • 8.6. Middle East & Africa Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 8.6.1 By Offering
    • 8.6.2 By Deployment Mode
    • 8.6.3 By Organization Size
    • 8.6.4 By End-user Industry
    • 8.6.5 Saudi Arabia
    • 8.6.6 UAE
    • 8.6.7 Israel
    • 8.6.8 South Africa
    • 8.6.9 Rest of the Middle East And Africa

Chapter 9. COMPETITIVE LANDSCAPE

  • 9.1. Recent Developments
  • 9.2. Company Categorization
  • 9.3. Supply Chain & Channel Partners (based on availability)
  • 9.4. Market Share & Positioning Analysis (based on availability)
  • 9.5. Vendor Landscape (based on availability)
  • 9.6. Strategy Mapping

Chapter 10. COMPANY PROFILES OF GLOBAL ARTIFICIAL INTELLIGENCE IN CYBERSECURITY INDUSTRY

  • 10.1. Top Companies Market Share Analysis
  • 10.2. Company Profiles
    • 10.2.1 Darktrace Plc
    • 10.2.2 Vectra AI Inc
    • 10.2.3 SentinelOne Inc
    • 10.2.4 CrowdStrike Holdings Inc
    • 10.2.5 Palo Alto Networks Inc
    • 10.2.6 Cylance Inc.
    • 10.2.7 SparkCognition Inc
    • 10.2.8 Fortinet Inc
    • 10.2.9 Trellix
    • 10.2.10 Sophos Limited
    • 10.2.11 Check Point Software Technologies Ltd
    • 10.2.12 Rapid7 Inc
    • 10.2.13 LogRhythm