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网路安全领域人工智慧（AI）市场规模、份额和成长分析（按类型、产品、技术、垂直产业、应用和地区划分）—产业预测（2026-2033 年）
市场调查报告书
商品编码
1895960

网路安全领域人工智慧（AI）市场规模、份额和成长分析（按类型、产品、技术、垂直产业、应用和地区划分）—产业预测（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个工作天内

价格
简介目录

预计到 2024 年，全球网路安全人工智慧 (AI) 市场规模将达到 290.5 亿美元，到 2025 年将成长至 359.1 亿美元，到 2033 年将成长至 1955.7 亿美元，在预测期（2026-2033 年将成长至 1955.7 亿美元，在预测期（2026-2033 年）内复合年增长率为 23.6%。

人工智慧 (AI) 技术（包括自然语言处理 (NLP) 和机器学习 (ML)）的应用，显着提升了威胁侦测、回应和防护能力，从而彻底改变了网路安全。随着网路攻击日益频繁，安全机构和政府组织正越来越多地利用先进的 AI 解决方案，透过行为生物特征识别技术实现动态安全系统识别和用户身份验证。产业相关人员正致力于采用机器学习演算法，以充分发挥 AI 在提升安全智慧方面的潜力。此外，日益增长的隐私担忧以及现代网路威胁的复杂性，也推动了对 AI 驱动的网路安全解决方案的需求，尤其是在银行业。这些因素共同推动了市场显着成长，各组织都在寻求强大的安全解决方案来保护其数位基础设施。

网路安全领域人工智慧 (AI) 市场驱动因素

网路攻击的频率和严重性不断增加，推动了网路安全领域对人工智慧的需求。传统的安全方法往往不足以应对威胁的快速变化。人工智慧技术能够处理大量资料集并识别恶意行为模式，从而提供了更强大的防御机制。这种能力使组织能够更有效地抵御复杂的攻击，包括日常漏洞和进阶持续性威胁 (APT)。随着网路犯罪分子不断演变其攻击策略，将人工智慧整合到网路安全中对于维持强大的安全态势和保护关键资讯资产至关重要。

全球网路安全人工智慧 (AI) 市场面临的限制因素

由于所需软体、硬体和专业知识成本高昂，人工智慧驱动的网路安全解决方案的采用面临许多挑战。这种经济负担对中小企业尤其沉重，阻碍了它们采用先进技术。此外，寻求更大规模整合人工智慧的大型企业也可能面临类似的经济障碍，限制了它们在业务运营的各个领域充分利用人工智慧的能力。因此，这些经济限制因素可能会阻碍人工智慧在网路安全领域的整体发展和应用。

网路安全领域人工智慧 (AI) 的全球市场趋势

将人工智慧 (AI) 整合到威胁情报系统中，正成为全球网路安全 AI 市场的一大趋势。这项进步显着提升了企业即时预测、侦测和应对新兴网路威胁的能力。借助先进的 AI 演算法，企业可以分析来自暗网、社交媒体和网路流量等各种来源的大量威胁数据，从而识别出预示潜在网路攻击的模式和异常情况。此外，AI 平台能够自动执行关联分析流程，提供及时且准确的洞察，从而加强对网路威胁的防御，并推动先进且扩充性的网路安全解决方案的演进。

目录

介绍

  • 调查目标
  • 调查范围
  • 定义

调查方法

  • 资讯收集
  • 二手资料和一手资料方法
  • 市场规模预测
  • 市场假设与限制

执行摘要

  • 全球市场展望
  • 供需趋势分析
  • 细分市场机会分析

市场动态与展望

  • 市场规模
  • 市场动态
    • 驱动因素和机会
    • 限制与挑战
  • 波特分析

关键市场考察

  • 关键成功因素
  • 竞争程度
  • 关键投资机会
  • 市场生态系统
  • 市场吸引力指数（2025）
  • PESTEL 分析
  • 总体经济指标
  • 价值链分析
  • 定价分析

全球网路安全人工智慧（AI）市场规模（按类型和复合年增长率划分）（2026-2033 年）

  • 网路安全
  • 端点安全
  • 应用程式安全
  • 云端安全

全球网路安全人工智慧（AI）市场规模（按产品/服务划分）及复合年增长率（2026-2033 年）

  • 硬体
  • 软体
  • 服务

全球网路安全人工智慧（AI）市场规模（按技术及复合年增长率划分）（2026-2033 年）

  • 机器学习
  • 自然语言处理（NLP）
  • 情境感知计算

全球网路安全领域人工智慧（AI）市场规模（依垂直产业划分）及复合年增长率（2026-2033）

  • BFSI
  • 零售
  • 政府/国防
  • 製造业
  • 对于企业
  • 卫生保健
  • 汽车与运输
  • 其他的

全球网路安全人工智慧（AI）市场规模（按应用及复合年增长率划分）（2026-2033 年）

  • 身分和存取管理
  • 风险与合规管理
  • 预防资料外泄
  • 统一威胁管理
  • 诈欺检测/预防
  • 威胁情报
  • 其他的

全球网路安全人工智慧（AI）市场规模及复合年增长率（2026-2033）

  • 北美洲
    • 美国
    • 加拿大
  • 欧洲
    • 德国
    • 西班牙
    • 法国
    • 英国
    • 义大利
    • 其他欧洲地区
  • 亚太地区
    • 中国
    • 印度
    • 日本
    • 韩国
    • 亚太其他地区
  • 拉丁美洲
    • 巴西
    • 其他拉丁美洲地区
  • 中东和非洲
    • 海湾合作委员会国家
    • 南非
    • 其他中东和非洲地区

竞争资讯

  • 前五大公司对比
  • 主要企业的市场定位（2025 年）
  • 主要市场参与者所采取的策略
  • 近期市场趋势
  • 公司市占率分析（2025 年）
  • 主要企业公司简介
    • 公司详情
    • 产品系列分析
    • 依业务板块进行公司股票分析
    • 2023-2025年营收年比比较

主要企业简介

  • 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）

结论与建议

简介目录
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