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網路安全領域代理式AI市場：按產品、代理自主性、安全功能、部署方式、組織規模和產業分類－市場規模、產業動態、機會分析和預測（2026-2035 年）

Cybersecurity Agentic AI Market: By Offering, Agent Autonomy, By Security Function, Deployment, Organization Size, Vertical - Market Size, Industry Dynamics, Opportunity Analysis And Forecast For 2026-2035
出版日期: | 出版商: Astute Analytica | 英文 320 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

隨著企業從需要人工輔助的人工智慧系統轉向完全自主的安全架構，網路安全領域代理式AI市場正經歷爆炸性成長。預計到2025年，該市場規模將達到約16.6億美元，這表明儘管代理式AI在網路安全領域的應用仍處於早期階段，但其發展速度正在迅速加快。這一市場規模反映了企業對自主安全平台投資的增加，以及對能夠在極少人工干預下運作，同時保持高精度威脅識別和響應能力的人工智慧系統日益成長的信心。

展望未來，預計到 2035 年，該市場規模將達到約 249.3 億美元，在 2026 年至 2035 年的預測期內，複合年成長率將高達 31.12%。這一快速成長的趨勢是由自主威脅偵測系統的廣泛應用、機器學習模型的持續進步以及人工智慧管治框架的整合所驅動的，這些措施旨在確保自動化決策流程中的安全性、合規性和課責。

顯著的市場趨勢

目前，全球網路安全領域代理式AI市場由五家主要公司主導，每家公司都憑藉其獨特的技術優勢塑造著該領域的競爭格局。 Palo Alto Networks憑藉其高度整合的自主安全平台，在市場上佔了主導地位。該平台基於專為大規模企業部署而設計的強大專有系統建置。

CrowdStrike憑藉其從全球基本客群收集的大量終端遙測數據，已確立了其領先地位。微軟憑藉其龐大的企業雲端生態系（尤其是Azure及其全面的安全套件），在市場中扮演著重要的戰略角色。 SentinelOne專注於自主終端保護，尤其擅長在無需人工干預的情況下隔離和修復惡意軟體，因此脫穎而出。 Darktrace則憑藉其先進的自學習數學和行為人工智慧演算法，在市場上保持著強勁的競爭力。

主要成長要素

全球網路安全人才短缺是推動以代理為基礎的人工智慧（AI）市場在網路安全領域快速成長的主要結構性因素。各行各業、各個地區的組織都在努力尋找並留住足夠技能的專業人才來保護日益複雜的數位基礎設施。這種不斷擴大的技能缺口給保全行動團隊帶來了巨大壓力，迫使企業探索採用自動化和人工智慧驅動的解決方案，以彌補人力專業知識和資源的不足。在全球範圍內，網路安全產業正面臨嚴重的人才短缺，據估計，僅滿足最低安全要求就需要額外480萬名專業人員。

新機會的趨勢

人工智慧與人工智慧之間的攻擊手法正逐漸成為一項重大機會和發展趨勢，預計將塑造網路安全領域代理式AI市場的未來成長。隨著企業擴大在關鍵數位基礎設施中部署自主人工智慧系統，一種新型網路風險正在湧現：惡意或被入侵的人工智慧代理會直接與其他人工智慧系統互動。與嚴重依賴人工干預的傳統網路威脅不同，這些高階攻擊手法涉及自動化、機器速度的交互作用。這使得攻擊者無需透過API等系統整合直接參與，即可利用漏洞、操縱模型行為並執行攻擊。

最佳化障礙

過度自主和權限升級是限制網路安全領域代理式AI市場發展的主要因素。這主要是因為賦予自主系統過多的操作權限會帶來風險。雖然代理式AI旨在透過使系統能夠獨立檢測、分析和響應威脅來增強網路安全，但如果在缺乏充分人工監督的情況下將這種自主性擴展到實際應用中，就會產生各種潛在的安全漏洞。各組織機構仍然對授予人工智慧驅動的代理商對關鍵系統的無限制存取權限保持謹慎，尤其是在即使是微小的錯誤也可能造成嚴重的營運、財務或聲譽後果的環境中。

目錄

第1章摘要整理：代理式AI全球網路安全市場

第2章：調查方法與研究框架

  • 研究目標
  • 產品概述
  • 市場區隔
  • 定性研究
    • 一手和二手資訊
  • 量化研究
    • 一手和二手資訊
  • 主要調查受訪者組成：按地區分類
  • 本研究的前提
  • 市場規模估算
  • 數據三角測量

第3章：全球網路安全領域代理式AI市場概述

  • 產業價值鏈分析
  • 產業展望
    • 全球人工智慧驅動的網路安全與自主SOC產業概覽
    • 人才短缺、警報疲勞和工具激增正在推動自動化。
    • 管治、信任與人機協同安全措施
  • PESTLE分析
  • 波特五力分析
  • 市場成長及前景
    • 2020-2035年市場收入估算與預測
    • 價格趨勢分析：透過報價

第4章：全球網路安全領域代理式AI市場分析

  • 競爭對手儀表板
    • 市場集中度
    • 企業市場占有率分析，2025 年
    • 競爭對手分析與基準測試

第5章：全球網路安全領域代理式AI市場分析

  • 市場動態和趨勢
    • 成長要素
    • 抑制因子
    • 機會
    • 主要趨勢
  • 市場規模及預測，2020-2035年
    • 報價
      • 關鍵見解
        • 平台/軟體
        • 服務
          • 託管偵測與回應
          • 專業的
    • 智慧體自主性
      • 關鍵見解
        • 輔助型（副駕駛）
        • 半自動
        • 完全自主
    • 透過安全功能
      • 關鍵見解
        • 威脅偵測與回應（EDR/XDR）
        • 保全行動（SOC自動化/SOAR）
        • 漏洞管理
        • 身分和存取管理
        • 雲端安全
        • 電子郵件和網路釣魚防範措施
        • 威脅情報
    • 不同的發展
      • 關鍵見解
        • 雲
        • 現場
        • 混合
    • 按組織規模
      • 關鍵見解
        • 大公司
        • 小型企業
    • 按行業
      • 關鍵見解
        • BFSI
        • 政府/國防
        • 衛生保健
        • 資訊科技/通訊
        • 零售
        • 能源公用事業
        • 製造業
        • 其他
    • 按地區
      • 關鍵見解
        • 北美洲
          • 美國
          • 加拿大
          • 墨西哥
        • 歐洲
          • 西歐
            • 英國
            • 德國
            • 法國
            • 義大利
            • 西班牙
            • 其他西歐國家
          • 東歐
            • 波蘭
            • 俄羅斯
            • 其他東歐國家
        • 亞太地區
          • 中國
          • 印度
          • 日本
          • 澳洲和紐西蘭
          • 韓國
          • ASEAN
          • 其他亞太國家
        • 中東和非洲（MEA）
          • 沙烏地阿拉伯
          • 南非
          • UAE
          • 其他中東和非洲國家
        • 南美洲
          • 阿根廷
          • 巴西
          • 其他南美國家

第6章：北美市場分析

第7章：歐洲市場分析

第8章：亞太市場分析

第9章：中東和非洲市場分析

第10章：南美市場分析

第11章：公司簡介

  • Microsoft
  • CrowdStrike
  • Palo Alto Networks
  • SentinelOne
  • Darktrace
  • Cisco
  • Fortinet
  • Check Point
  • Google（Mandiant）
  • Trend Micro
  • Torq
  • Dropzone AI
  • Simbian
  • Prophet Security
  • Radiant Security
  • 其他主要公司

第12章附錄

簡介目錄
Product Code: AA06261832

The cybersecurity agentic AI market is experiencing explosive growth as enterprises transition away from human-assisted artificial intelligence systems toward fully autonomous security architectures. In 2025, the market is valued at approximately USD 1.66 billion, marking the early but rapidly accelerating phase of adoption for agentic AI in cybersecurity. This valuation reflects growing enterprise investment in autonomous security platforms, as well as increasing confidence in AI systems that can operate with minimal human intervention while maintaining high accuracy in threat identification and response.

Looking ahead, the market is projected to reach around USD 24.93 billion by 2035, expanding at a strong compound annual growth rate (CAGR) of 31.12% during the forecast period from 2026 to 2035. This rapid growth trajectory is being fueled by widespread deployment of autonomous threat detection systems, continuous advancements in machine learning models, and the increasing integration of AI governance frameworks that ensure safety, compliance, and accountability in automated decision-making processes.

Noteworthy Market Developments

Five major players currently dominate the global Cybersecurity Agentic AI market landscape, each contributing distinct technological strengths that shape competitive dynamics in the sector. Palo Alto Networks holds a commanding position in the market due to its deeply integrated autonomous security platforms, which are built on robust proprietary systems designed for large-scale enterprise deployment.

CrowdStrike has established itself as a key leader by leveraging vast amounts of endpoint telemetry data collected across its global customer base. Microsoft plays a strategically important role in the market by capitalizing on its expansive enterprise cloud ecosystem, particularly through Azure and its broader security suite. SentinelOne distinguishes itself through its strong focus on autonomous endpoint protection, particularly its ability to isolate and remediate malware without human intervention. Darktrace remains a highly competitive force in the market by relying on advanced self-learning mathematical and behavioral AI algorithms.

Core Growth Drivers

The global cybersecurity talent shortage has become a major structural driver accelerating the growth of the cybersecurity agentic AI market. Across industries and regions, organizations are struggling to recruit and retain sufficient skilled professionals to defend increasingly complex digital infrastructures. This widening skills gap is placing immense pressure on security operations teams, pushing enterprises to explore automation and AI-driven solutions that can compensate for the lack of human expertise and workforce capacity. At a global level, the cybersecurity industry faces a critical deficit of talent, with estimates indicating that an additional 4.8 million professionals are required just to meet baseline security needs.

Emerging Opportunity Trends

AI-to-AI threat vectors are emerging as a significant opportunity and evolving trend that is expected to shape the future growth of the cybersecurity agentic AI market. As organizations increasingly deploy autonomous AI systems across critical digital infrastructure, a new category of cyber risk is beginning to surface, where malicious or compromised AI agents interact directly with other AI systems. Unlike traditional cyber threats that rely heavily on human-controlled operations, these advanced threat vectors involve automated, machine-speed interactions that can exploit vulnerabilities, manipulate model behavior, and execute attacks through system integrations such as APIs without requiring direct human involvement.

Barriers to Optimization

Excessive agency and privilege escalation represent significant constraints on the growth of the cybersecurity agentic AI market, primarily due to the risks associated with granting autonomous systems too much operational authority. While agentic AI is designed to enhance cybersecurity by enabling systems to independently detect, analyze, and respond to threats, extending this autonomy into real-world execution without sufficient human oversight introduces a range of potential vulnerabilities. Organizations remain cautious about allowing AI-driven agents unrestricted access to critical systems, especially in environments where even minor errors can result in severe operational, financial, or reputational consequences.

Detailed Market Segmentation

By security function, the threat detection and response segment, including Endpoint Detection and Response (EDR) and Extended Detection and Response (XDR) solutions, dominated the cybersecurity agentic AI market with a market share of approximately 47.30% in 2025. This segment represents the largest share of the market due to the growing need for organizations to identify, investigate, and mitigate cyber threats in real time. As cyberattacks become increasingly sophisticated, enterprises are prioritizing security technologies that can not only detect malicious activities but also respond autonomously before threats escalate into major security incidents.

By deployment model, cloud-based solutions dominated the cybersecurity agentic AI market in 2025, accounting for approximately 54.60% of the total market share. This leadership position is largely attributed to the growing demand for scalable, flexible, and cost-effective cybersecurity platforms capable of supporting increasingly complex digital environments. As organizations continue to accelerate cloud adoption and digital transformation initiatives, cloud-based cybersecurity agentic AI solutions have emerged as the preferred deployment model for enterprises seeking advanced threat protection, operational efficiency, and simplified infrastructure management.

By organization size, large enterprises emerged as the dominant segment of the cybersecurity agentic AI market, accounting for approximately 69.20% of the total market share in 2025. This substantial share reflects the increasing reliance of multinational corporations and large-scale organizations on advanced cybersecurity technologies to safeguard their extensive digital ecosystems. Large enterprises typically operate across multiple regions, manage thousands of employees, and maintain vast networks of interconnected systems, making cybersecurity a strategic business priority.

By Vertical, the Banking, Financial Services, and Insurance (BFSI) sector accounted for approximately 24% of the global cybersecurity agentic AI market, making it one of the largest end-user segments for advanced autonomous security solutions. The sector's substantial market share is driven by its critical dependence on digital platforms, online transactions, and interconnected financial ecosystems that process enormous volumes of sensitive customer and institutional data every day. As financial institutions continue to accelerate digital transformation initiatives, the need for sophisticated cybersecurity technologies capable of protecting complex infrastructures has become increasingly important.

Segment Breakdown

By Offering

  • Platforms / Software
  • Services (Managed Detection & Response, Professional)

By Agent Autonomy

  • Assisted (Copilot)
  • Semi-Autonomous
  • Fully Autonomous

By Security Function

  • Threat Detection & Response (EDR/XDR)
  • Security Operations (SOC Automation / SOAR)
  • Vulnerability Management
  • Identity & Access Management
  • Cloud Security
  • Email & Phishing Security
  • Threat Intelligence

By Deployment

  • Cloud
  • On-Premises
  • Hybrid

By Organization Size

  • Large Enterprises
  • Small & Medium Enterprises

By Vertical

  • BFSI
  • Government & Defense
  • Healthcare
  • IT & Telecom
  • Retail
  • Energy & Utilities
  • Manufacturing
  • Others

By Region

  • North America
  • The U.S.
  • Canada
  • Mexico
  • Europe
  • Western Europe
  • The UK
  • Germany
  • France
  • Italy
  • Spain
  • Rest of Western Europe
  • Eastern Europe
  • Poland
  • Russia
  • Rest of Eastern Europe
  • Asia Pacific
  • China
  • India
  • Japan
  • Australia & New Zealand
  • South Korea
  • ASEAN
  • Rest of Asia Pacific
  • Middle East & Africa (MEA)
  • Saudi Arabia
  • South Africa
  • UAE
  • Rest of MEA
  • South America
  • Argentina
  • Brazil
  • Rest of South America

Geography Breakdown

  • As of 2026, North America has established itself as the largest and most influential market for cybersecurity agentic AI, accounting for approximately 48.10% of the global market share. This dominant position reflects the region's highly advanced digital ecosystem, substantial investments in cybersecurity technologies, and strong commitment to innovation in artificial intelligence.
  • Furthermore, North America hosts many of the world's leading cybersecurity and AI companies, creating an environment that accelerates research, development, and commercialization of next-generation security technologies. With the global cybersecurity agentic AI market expected to reach approximately USD 2.43 billion in 2026, the United States contributes a significant portion of overall revenue, reinforcing the region's leadership in this rapidly expanding sector.
  • A major factor behind North America's market dominance is the early adoption of autonomous cybersecurity systems by prominent technology and security firms. Industry leaders such as CrowdStrike, SentinelOne, and Microsoft have been at the forefront of integrating agentic AI into cybersecurity operations. These organizations have invested heavily in developing intelligent systems capable of independently identifying, assessing, and responding to cyber threats in real time.

Leading Market Participants

  • Microsoft
  • CrowdStrike
  • Palo Alto Networks
  • SentinelOne
  • Darktrace
  • Cisco
  • Fortinet
  • Check Point
  • Google (Mandiant)
  • Trend Micro
  • Torq
  • Dropzone AI
  • Simbian
  • Prophet Security
  • Radiant Security
  • Other Prominent Players

Table of Content

Chapter 1. Executive Summary: Global Cybersecurity Agentic AI Market

Chapter 2. Research Methodology & Research Framework

  • 2.1. Research Objective
  • 2.2. Product Overview
  • 2.3. Market Segmentation
  • 2.4. Qualitative Research
    • 2.4.1. Primary & Secondary Sources
  • 2.5. Quantitative Research
    • 2.5.1. Primary & Secondary Sources
  • 2.6. Breakdown of Primary Research Respondents, By Region
  • 2.7. Assumption for Study
  • 2.8. Market Size Estimation
  • 2.9. Data Triangulation

Chapter 3. Global Cybersecurity Agentic AI Market Overview

  • 3.1. Industry Value Chain Analysis
    • 3.1.1. AI Infrastructure & Compute Providers
    • 3.1.2. Foundation Model & LLM Developers
    • 3.1.3. Agentic Security Platform & SOC Automation Vendors
    • 3.1.4. MDR & Professional Service Providers
    • 3.1.5. Enterprise Security Teams / SOCs (BFSI, Government, Healthcare)
  • 3.2. Industry Outlook
    • 3.2.1. Overview of the Global AI-Driven Cybersecurity & Autonomous SOC Industry
    • 3.2.2. Talent Shortage, Alert Fatigue & Tool Sprawl Driving Automation
    • 3.2.3. Governance, Trust & Human-in-the-Loop Guardrails
  • 3.3. PESTLE Analysis
  • 3.4. Porter's Five Forces Analysis
    • 3.4.1. Bargaining Power of Suppliers
    • 3.4.2. Bargaining Power of Buyers
    • 3.4.3. Threat of Substitutes
    • 3.4.4. Threat of New Entrants
    • 3.4.5. Degree of Competition
  • 3.5. Market Growth and Outlook
    • 3.5.1. Market Revenue Estimates and Forecast (US$ Mn), 2020-2035
    • 3.5.2. Price Trend Analysis, By Offering

Chapter 4. Global Cybersecurity Agentic AI Market Analysis

  • 4.1. Competition Dashboard
    • 4.1.1. Market Concentration Rate
    • 4.1.2. Company Market Share Analysis (Value %), 2025
    • 4.1.3. Competitor Mapping & Benchmarking

Chapter 5. Global Cybersecurity Agentic AI Market Analysis

  • 5.1. Market Dynamics and Trends
    • 5.1.1. Growth Drivers
    • 5.1.2. Restraints
    • 5.1.3. Opportunity
    • 5.1.4. Key Trends
  • 5.2. Market Size and Forecast, 2020-2035 (US$ Mn)
    • 5.2.1. By Offering
      • 5.2.1.1. Key Insights
        • 5.2.1.1.1. Platforms / Software
        • 5.2.1.1.2. Services
          • 5.2.1.1.2.1. Managed Detection & Response
          • 5.2.1.1.2.2. Professional
    • 5.2.2. By Agent Autonomy
      • 5.2.2.1. Key Insights
        • 5.2.2.1.1. Assisted (Copilot)
        • 5.2.2.1.2. Semi-Autonomous
        • 5.2.2.1.3. Fully Autonomous
    • 5.2.3. By Security Function
      • 5.2.3.1. Key Insights
        • 5.2.3.1.1. Threat Detection & Response (EDR/XDR)
        • 5.2.3.1.2. Security Operations (SOC Automation / SOAR)
        • 5.2.3.1.3. Vulnerability Management
        • 5.2.3.1.4. Identity & Access Management
        • 5.2.3.1.5. Cloud Security
        • 5.2.3.1.6. Email & Phishing Security
        • 5.2.3.1.7. Threat Intelligence
    • 5.2.4. By Deployment
      • 5.2.4.1. Key Insights
        • 5.2.4.1.1. Cloud
        • 5.2.4.1.2. On-Premises
        • 5.2.4.1.3. Hybrid
    • 5.2.5. By Organization Size
      • 5.2.5.1. Key Insights
        • 5.2.5.1.1. Large Enterprises
        • 5.2.5.1.2. Small & Medium Enterprises
    • 5.2.6. By Vertical
      • 5.2.6.1. Key Insights
        • 5.2.6.1.1. BFSI
        • 5.2.6.1.2. Government & Defense
        • 5.2.6.1.3. Healthcare
        • 5.2.6.1.4. IT & Telecom
        • 5.2.6.1.5. Retail
        • 5.2.6.1.6. Energy & Utilities
        • 5.2.6.1.7. Manufacturing
        • 5.2.6.1.8. Others
    • 5.2.7. By Region
      • 5.2.7.1. Key Insights
        • 5.2.7.1.1. North America
          • 5.2.7.1.1.1. The U.S.
          • 5.2.7.1.1.2. Canada
          • 5.2.7.1.1.3. Mexico
        • 5.2.7.1.2. Europe
          • 5.2.7.1.2.1. Western Europe
            • 5.2.7.1.2.1.1. The UK
            • 5.2.7.1.2.1.2. Germany
            • 5.2.7.1.2.1.3. France
            • 5.2.7.1.2.1.4. Italy
            • 5.2.7.1.2.1.5. Spain
            • 5.2.7.1.2.1.6. Rest of Western Europe
          • 5.2.7.1.2.2. Eastern Europe
            • 5.2.7.1.2.2.1. Poland
            • 5.2.7.1.2.2.2. Russia
            • 5.2.7.1.2.2.3. Rest of Eastern Europe
        • 5.2.7.1.3. Asia Pacific
          • 5.2.7.1.3.1. China
          • 5.2.7.1.3.2. India
          • 5.2.7.1.3.3. Japan
          • 5.2.7.1.3.4. Australia & New Zealand
          • 5.2.7.1.3.5. South Korea
          • 5.2.7.1.3.6. ASEAN
          • 5.2.7.1.3.7. Rest of Asia Pacific
        • 5.2.7.1.4. Middle East & Africa (MEA)
          • 5.2.7.1.4.1. Saudi Arabia
          • 5.2.7.1.4.2. South Africa
          • 5.2.7.1.4.3. UAE
          • 5.2.7.1.4.4. Rest of MEA
        • 5.2.7.1.5. South America
          • 5.2.7.1.5.1. Argentina
          • 5.2.7.1.5.2. Brazil
          • 5.2.7.1.5.3. Rest of South America

Chapter 6. North America Market Analysis

  • 6.1. Market Dynamics and Trends
    • 6.1.1. Growth Drivers
    • 6.1.2. Restraints
    • 6.1.3. Opportunity
    • 6.1.4. Key Trends
  • 6.2. Market Size and Forecast, 2020-2035 (US$ Mn)
    • 6.2.1. Key Insights
      • 6.2.1.1. By Offering
      • 6.2.1.2. By Agent Autonomy
      • 6.2.1.3. By Security Function
      • 6.2.1.4. By Deployment
      • 6.2.1.5. By Organization Size
      • 6.2.1.6. By Vertical
      • 6.2.1.7. By Country

Chapter 7. Europe Market Analysis

  • 7.1. Market Dynamics and Trends
    • 7.1.1. Growth Drivers
    • 7.1.2. Restraints
    • 7.1.3. Opportunity
    • 7.1.4. Key Trends
  • 7.2. Market Size and Forecast, 2020-2035 (US$ Mn)
    • 7.2.1. Key Insights
      • 7.2.1.1. By Offering
      • 7.2.1.2. By Agent Autonomy
      • 7.2.1.3. By Security Function
      • 7.2.1.4. By Deployment
      • 7.2.1.5. By Organization Size
      • 7.2.1.6. By Vertical
      • 7.2.1.7. By Country

Chapter 8. Asia Pacific Market Analysis

  • 8.1. Market Dynamics and Trends
    • 8.1.1. Growth Drivers
    • 8.1.2. Restraints
    • 8.1.3. Opportunity
    • 8.1.4. Key Trends
  • 8.2. Market Size and Forecast, 2020-2035 (US$ Mn)
    • 8.2.1. Key Insights
      • 8.2.1.1. By Offering
      • 8.2.1.2. By Agent Autonomy
      • 8.2.1.3. By Security Function
      • 8.2.1.4. By Deployment
      • 8.2.1.5. By Organization Size
      • 8.2.1.6. By Vertical
      • 8.2.1.7. By Country

Chapter 9. Middle East & Africa Market Analysis

  • 9.1. Market Dynamics and Trends
    • 9.1.1. Growth Drivers
    • 9.1.2. Restraints
    • 9.1.3. Opportunity
    • 9.1.4. Key Trends
  • 9.2. Market Size and Forecast, 2020-2035 (US$ Mn)
    • 9.2.1. Key Insights
      • 9.2.1.1. By Offering
      • 9.2.1.2. By Agent Autonomy
      • 9.2.1.3. By Security Function
      • 9.2.1.4. By Deployment
      • 9.2.1.5. By Organization Size
      • 9.2.1.6. By Vertical
      • 9.2.1.7. By Country

Chapter 10. South America Market Analysis

  • 10.1. Market Dynamics and Trends
    • 10.1.1. Growth Drivers
    • 10.1.2. Restraints
    • 10.1.3. Opportunity
    • 10.1.4. Key Trends
  • 10.2. Market Size and Forecast, 2020-2035 (US$ Mn)
    • 10.2.1. Key Insights
      • 10.2.1.1. By Offering
      • 10.2.1.2. By Agent Autonomy
      • 10.2.1.3. By Security Function
      • 10.2.1.4. By Deployment
      • 10.2.1.5. By Organization Size
      • 10.2.1.6. By Vertical
      • 10.2.1.7. By Country

Chapter 11. Company Profile (Company Overview, Financial Matrix, Key Product landscape, Key Personnel, Key Competitors, Contact Address, and Business Strategy Outlook)

  • 11.1. Microsoft
  • 11.2. CrowdStrike
  • 11.3. Palo Alto Networks
  • 11.4. SentinelOne
  • 11.5. Darktrace
  • 11.6. Cisco
  • 11.7. Fortinet
  • 11.8. Check Point
  • 11.9. Google (Mandiant)
  • 11.10. Trend Micro
  • 11.11. Torq
  • 11.12. Dropzone AI
  • 11.13. Simbian
  • 11.14. Prophet Security
  • 11.15. Radiant Security
  • 11.16. Other Prominent Players

Chapter 12. Annexure

  • 12.1. List of Secondary Sources
  • 12.2. Key Country Markets- Macro Economic Outlook/Indicators