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網路安全領域人工智慧（AI）市場規模、佔有率和成長分析（按類型、產品、技術、垂直產業、應用和地區分類）—產業預測（2026-2033 年）
市場調查報告書
商品編碼
1895960

網路安全領域人工智慧（AI）市場規模、佔有率和成長分析（按類型、產品、技術、垂直產業、應用和地區分類）—產業預測（2026-2033 年）

Artificial Intelligence (AI) in Cybersecurity Market Size, Share, and Growth Analysis, By Type (Network Security, Endpoint Security), By Offering (Hardware, Software), By Technology, By Vertical, By Application, By Region - Industry Forecast 2026-2033
出版日期: | 出版商: SkyQuest | 英文 265 Pages | 商品交期: 3-5個工作天內

價格
簡介目錄

預計到 2024 年，全球網路安全人工智慧 (AI) 市場規模將達到 290.5 億美元，到 2025 年將成長至 359.1 億美元，到 2033 年將成長至 1955.7 億美元，在預測期（2026-2033 年將成長至 1955.7 億美元，在預測期（2026-2033 年）內複合年成長率為 23.6%。

人工智慧 (AI) 技術（包括自然語言處理 (NLP) 和機器學習 (ML)）的應用，顯著提升了威脅偵測、回應和防護能力，從而徹底改變了網路安全。隨著網路攻擊日益頻繁，安全機構和政府組織正擴大利用先進的 AI 解決方案，透過行為生物特徵識別技術實現動態安全系統識別和用戶身份驗證。產業相關人員正致力於採用機器學習演算法，以充分發揮 AI 在提升安全智慧方面的潛力。此外，日益成長的隱私擔憂以及現代網路威脅的複雜性，也推動了對 AI 驅動的網路安全解決方案的需求，尤其是在銀行業。這些因素共同推動了市場顯著成長，各組織都在尋求強大的安全解決方案來保護其數位基礎設施。

網路安全領域人工智慧 (AI) 市場促進因素

網路攻擊的頻率和嚴重性不斷增加，推動了網路安全領域對人工智慧的需求。傳統的安全方法往往不足以應對威脅的快速變化。人工智慧技術能夠處理大量資料集並識別惡意行為模式，從而提供了更強大的防禦機制。這種能力使組織能夠更有效地抵禦複雜的攻擊，包括日常漏洞和進階持續性威脅 (APT)。隨著網路犯罪分子不斷演變其攻擊策略，將人工智慧整合到網路安全中對於維持強大的安全態勢和保護關鍵資訊資產至關重要。

全球網路安全人工智慧 (AI) 市場面臨的限制因素

由於所需軟體、硬體和專業知識成本高昂，人工智慧驅動的網路安全解決方案的採用面臨許多挑戰。這種經濟負擔對中小企業尤其沉重，阻礙了它們採用先進技術。此外，尋求更大規模整合人工智慧的大型企業也可能面臨類似的經濟障礙，限制了它們在業務營運的各個領域充分利用人工智慧的能力。因此，這些經濟限制因素可能會阻礙人工智慧在網路安全領域的整體發展和應用。

網路安全領域人工智慧 (AI) 的全球市場趨勢

將人工智慧 (AI) 整合到威脅情報系統中，正成為全球網路安全 AI 市場的一大趨勢。這項進步顯著提升了企業即時預測、偵測和應對新興網路威脅的能力。借助先進的 AI 演算法，企業可以分析來自暗網、社交媒體和網路流量等各種來源的大量威脅數據，從而識別出預示潛在網路攻擊的模式和異常情況。此外，AI 平台能夠自動執行關聯分析流程，提供及時且準確的洞察，從而加強對網路威脅的防禦，並推動先進且擴充性的網路安全解決方案的演進。

目錄

介紹

  • 調查目標
  • 調查範圍
  • 定義

調查方法

  • 資訊收集
  • 二手資料和一手資料方法
  • 市場規模預測
  • 市場假設與限制

執行摘要

  • 全球市場展望
  • 供需趨勢分析
  • 細分市場機會分析

市場動態與展望

  • 市場規模
  • 市場動態
    • 促進因素和機遇
    • 限制與挑戰
  • 波特分析

關鍵市場考察

  • 關鍵成功因素
  • 競爭程度
  • 關鍵投資機會
  • 市場生態系統
  • 市場吸引力指數（2025）
  • PESTEL 分析
  • 總體經濟指標
  • 價值鏈分析
  • 定價分析

全球網路安全人工智慧（AI）市場規模（按類型和複合年成長率分類）（2026-2033 年）

  • 網路安全
  • 端點安全
  • 應用程式安全
  • 雲端安全

全球網路安全人工智慧（AI）市場規模（按產品/服務分類）及複合年成長率（2026-2033 年）

  • 硬體
  • 軟體
  • 服務

全球網路安全人工智慧（AI）市場規模（按技術及複合年成長率分類）（2026-2033 年）

  • 機器學習
  • 自然語言處理（NLP）
  • 情境感知計算

全球網路安全領域人工智慧（AI）市場規模（依垂直產業分類）及複合年成長率（2026-2033）

  • BFSI
  • 零售
  • 政府/國防
  • 製造業
  • 對於企業
  • 衛生保健
  • 汽車與運輸
  • 其他

全球網路安全人工智慧（AI）市場規模（按應用及複合年成長率分類）（2026-2033 年）

  • 身分和存取管理
  • 風險與合規管理
  • 預防資料外泄
  • 統一威脅管理
  • 詐欺檢測/預防
  • 威脅情報
  • 其他

全球網路安全人工智慧（AI）市場規模及複合年成長率（2026-2033）

  • 北美洲
    • 美國
    • 加拿大
  • 歐洲
    • 德國
    • 西班牙
    • 法國
    • 英國
    • 義大利
    • 其他歐洲地區
  • 亞太地區
    • 中國
    • 印度
    • 日本
    • 韓國
    • 亞太其他地區
  • 拉丁美洲
    • 巴西
    • 其他拉丁美洲地區
  • 中東和非洲
    • 海灣合作理事會國家
    • 南非
    • 其他中東和非洲地區

競爭資訊

  • 前五大公司對比
  • 主要企業的市場定位（2025 年）
  • 主要市場參與者所採取的策略
  • 近期市場趨勢
  • 公司市佔率分析（2025 年）
  • 主要企業公司簡介
    • 公司詳情
    • 產品系列分析
    • 依業務板塊進行公司股票分析
    • 2023-2025年營收年比比較

主要企業簡介

  • Palo Alto Networks（USA）
  • CrowdStrike（USA）
  • Fortinet（USA）
  • Check Point Software Technologies（Israel）
  • Vectra AI（USA）
  • SentinelOne（USA）
  • Cybereason（USA）
  • Microsoft（USA）
  • IBM（USA）
  • Cisco（USA）
  • Symantec（USA）
  • Sophos（UK）
  • Zscaler（USA）
  • Nozomi Networks（USA）
  • Arctic Wolf Networks（USA）
  • Rapid7（USA）

結論與建議

簡介目錄
Product Code: SQMIG45F2068

Global Artificial Intelligence (AI) in Cybersecurity Market size was valued at USD 29.05 Billion in 2024 and is poised to grow from USD 35.91 Billion in 2025 to USD 195.57 Billion by 2033, growing at a CAGR of 23.6% during the forecast period (2026-2033).

The adoption of Artificial Intelligence (AI) technologies, including natural language processing (NLP) and machine learning (ML), has significantly transformed cybersecurity by enhancing threat detection, response, and protection capabilities. With the rising frequency of cyberattacks, advanced AI solutions are increasingly being utilized by security and government agencies for dynamic security system identification and user authentication through behavioral biometrics. Industry stakeholders are focusing on the implementation of ML algorithms to harness AI's potential in improving security intelligence. Additionally, growing privacy concerns and the complexities associated with modern cyber threats are amplifying the demand for AI-driven cybersecurity solutions, particularly in the banking sector. This amalgamation of factors is driving substantial market growth, as organizations seek robust security solutions to safeguard their digital infrastructures.

Top-down and bottom-up approaches were used to estimate and validate the size of the Global Artificial Intelligence (AI) in Cybersecurity market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.

Global Artificial Intelligence (AI) in Cybersecurity Market Segments Analysis

Global Artificial Intelligence (AI) in Cybersecurity Market is segmented by Type, Offering, Technology, Vertical, Application and region. Based on Type, the market is segmented into Network Security, Endpoint Security, Application Security and Cloud Security. Based on Offering, the market is segmented into Hardware, Software and Services. Based on Technology, the market is segmented intomachine learning, Natural Language Processing (NLP) and Context-aware Computing. Based on Vertical, the market is segmented into BFSI, Retail, Government & Defense, Manufacturing, Enterprise, Healthcare, Automotive & Transportation and Others. Based on Application, the market is segmented into Identity And Access Management, Risk And Compliance Management, Data Loss Prevention, Unified Threat Management, Fraud Detection/Anti-Fraud, Threat Intelligence and Others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.

Driver of the Global Artificial Intelligence (AI) in Cybersecurity Market

The rise in frequency and intensity of cyberattacks significantly propels the demand for artificial intelligence in cybersecurity. Conventional security methods frequently fall short in addressing the rapidly changing nature of threats. AI technologies, with their ability to process vast datasets and recognize patterns indicative of malicious behavior, offer superior defense mechanisms. This capability enables organizations to better protect themselves against complex attacks, including routine vulnerabilities and advanced persistent threats. As cybercriminals continue to evolve their tactics, the integration of AI in cybersecurity becomes essential for maintaining robust security measures and safeguarding critical information assets.

Restraints in the Global Artificial Intelligence (AI) in Cybersecurity Market

The adoption of AI-driven cybersecurity solutions faces substantial challenges due to the high costs associated with necessary software, hardware, and expertise. This financial burden is particularly impactful for small and medium enterprises (SMEs), often deterring them from implementing these advanced technologies. Additionally, larger organizations seeking to integrate AI on a broader scale may also encounter similar financial hurdles, which can restrict their ability to fully leverage AI capabilities across various sectors of their operations. As a result, the overall growth and integration of AI in cybersecurity may be hindered by these economic constraints.

Market Trends of the Global Artificial Intelligence (AI) in Cybersecurity Market

The integration of artificial intelligence (AI) into threat intelligence systems is establishing a pivotal trend within the global AI in cybersecurity market. This development significantly enhances organizations' capabilities to anticipate, detect, and respond to emerging cyber threats in real time. By leveraging advanced AI algorithms, businesses can analyze vast amounts of threat data from diverse sources, such as the dark web, social media, and network traffic, to identify patterns and anomalies indicative of potential cyber-attacks. Furthermore, AI-powered platforms automate the correlation and analysis processes, providing timely and accurate insights that fortify defenses against cyber threats, thereby driving the evolution of sophisticated and scalable cybersecurity solutions.

Table of Contents

Introduction

  • Objectives of the Study
  • Scope of the Report
  • Definitions

Research Methodology

  • Information Procurement
  • Secondary & Primary Data Methods
  • Market Size Estimation
  • Market Assumptions & Limitations

Executive Summary

  • Global Market Outlook
  • Supply & Demand Trend Analysis
  • Segmental Opportunity Analysis

Market Dynamics & Outlook

  • Market Overview
  • Market Size
  • Market Dynamics
    • Drivers & Opportunities
    • Restraints & Challenges
  • Porters Analysis
    • Competitive rivalry
    • Threat of substitute
    • Bargaining power of buyers
    • Threat of new entrants
    • Bargaining power of suppliers

Key Market Insights

  • Key Success Factors
  • Degree of Competition
  • Top Investment Pockets
  • Market Ecosystem
  • Market Attractiveness Index, 2025
  • PESTEL Analysis
  • Macro-Economic Indicators
  • Value Chain Analysis
  • Pricing Analysis

Global Artificial Intelligence (AI) in Cybersecurity Market Size by Type & CAGR (2026-2033)

  • Market Overview
  • Network Security
  • Endpoint Security
  • Application Security
  • Cloud Security

Global Artificial Intelligence (AI) in Cybersecurity Market Size by Offering & CAGR (2026-2033)

  • Market Overview
  • Hardware
  • Software
  • Services

Global Artificial Intelligence (AI) in Cybersecurity Market Size by Technology & CAGR (2026-2033)

  • Market Overview
  • Machine Learning
  • Natural Language Processing (NLP)
  • Context-aware Computing

Global Artificial Intelligence (AI) in Cybersecurity Market Size by Vertical & CAGR (2026-2033)

  • Market Overview
  • BFSI
  • Retail
  • Government & Defense
  • Manufacturing
  • Enterprise
  • Healthcare
  • Automotive & Transportation
  • Others

Global Artificial Intelligence (AI) in Cybersecurity Market Size by Application & CAGR (2026-2033)

  • Market Overview
  • Identity And Access Management
  • Risk And Compliance Management
  • Data Loss Prevention
  • Unified Threat Management
  • Fraud Detection/Anti-Fraud
  • Threat Intelligence
  • Others

Global Artificial Intelligence (AI) in Cybersecurity Market Size & CAGR (2026-2033)

  • North America (Type, Offering, Technology, Vertical, Application)
    • US
    • Canada
  • Europe (Type, Offering, Technology, Vertical, Application)
    • Germany
    • Spain
    • France
    • UK
    • Italy
    • Rest of Europe
  • Asia Pacific (Type, Offering, Technology, Vertical, Application)
    • China
    • India
    • Japan
    • South Korea
    • Rest of Asia-Pacific
  • Latin America (Type, Offering, Technology, Vertical, Application)
    • Brazil
    • Rest of Latin America
  • Middle East & Africa (Type, Offering, Technology, Vertical, Application)
    • GCC Countries
    • South Africa
    • Rest of Middle East & Africa

Competitive Intelligence

  • Top 5 Player Comparison
  • Market Positioning of Key Players, 2025
  • Strategies Adopted by Key Market Players
  • Recent Developments in the Market
  • Company Market Share Analysis, 2025
  • Company Profiles of All Key Players
    • Company Details
    • Product Portfolio Analysis
    • Company's Segmental Share Analysis
    • Revenue Y-O-Y Comparison (2023-2025)

Key Company Profiles

  • Palo Alto Networks (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • CrowdStrike (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Fortinet (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Check Point Software Technologies (Israel)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Vectra AI (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • SentinelOne (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Cybereason (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Microsoft (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • IBM (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Cisco (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Symantec (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Sophos (UK)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Zscaler (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Nozomi Networks (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Arctic Wolf Networks (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Rapid7 (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments

Conclusion & Recommendations