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市場調查報告書
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1683333

全球網路安全市場中的人工智慧 - 2025 至 2032 年

Global AI in Cybersecurity Market - 2025-2032
出版日期: | 出版商: DataM Intelligence | 英文 180 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

2024 年全球網路安全人工智慧市場規模達到 262.9 億美元，預計到 2032 年將達到 1,093.3 億美元，2025-2032 年預測期內的複合年成長率為 19.50%。

隨著網路威脅日益複雜化以及人工智慧驅動的安全解決方案的日益普及，全球網路安全市場中的人工智慧 (AI) 正在經歷強勁成長。越來越多的組織將人工智慧融入其網路安全框架中，以增強威脅偵測和回應能力。人工智慧系統可以即時分析大量資料，比傳統方法更有效地識別異常和潛在威脅。這種主動方法能夠更快地對網路事件做出反應，最大限度地減少潛在損害和營運中斷。領先公司明顯重視人工智慧作為網路安全策略的核心技術，反映出其在防禦複雜網路攻擊方面的重要性日益增加。

市場動態

促進因素－網路威脅日益複雜

網路威脅日益複雜化是網路安全採用人工智慧的主要驅動力。網路對手正在採用包括人工智慧工具在內的先進技術來發動更有效、更規避性的攻擊。

這種升級需要將人工智慧融入網路安全措施中，以有效地偵測和應對這些複雜的威脅。防禦者和攻擊者都使用人工智慧，這一雙重挑戰凸顯了對先進的人工智慧驅動的安全解決方案的迫切需求。

限制－實施成本高且技能差距

儘管人工智慧在網路安全領域的應用有許多好處，但它面臨著初始成本高和專業人員短缺等挑戰。部署人工智慧驅動的安全系統需要在技術和基礎設施上進行大量投資，這對中小企業來說可能是一個障礙。

此外，專業知識方面也存在明顯差距，因為管理和維護基於人工智慧的安全解決方案需要專業技能。平衡安全性需求和可用性仍然是一個挑戰，凸顯了需要採取全面的策略來解決這些問題。

目錄

第 1 章：方法與範圍

第 2 章：定義與概述

第 3 章：執行摘要

第 4 章：動態

  • 影響因素
    • 驅動程式
      • 網路威脅日益複雜
    • 限制
      • 實施成本高且技能差距
    • 機會
    • 影響分析

第5章：產業分析

  • 波特五力分析
  • 供應鏈分析
  • 價值鏈分析
  • 定價分析
  • 監理與合規性分析
  • 人工智慧與自動化影響分析
  • 研發與創新分析
  • 永續性與綠色技術分析
  • 網路安全分析
  • 下一代技術分析
  • 技術路線圖
  • DMI 意見

第 6 章：按證券類型

  • 網路安全
  • 端點安全
  • 應用程式安全
  • 硬體安全
  • 其他

第 7 章：按組件

  • 硬體
    • 加速器
    • 處理器
    • 貯存
    • 其他
  • 解決方案
    • 軟體
    • 平台
  • 服務
    • 專業服務
    • 託管服務

第 8 章：按部署類型

  • 本地
  • 基於雲端

第 9 章：按技術

  • 機器學習
  • 自然語言處理 (NLP)
  • 情境感知計算
  • 其他

第 10 章：按應用

  • 身分和存取管理
  • 自然語言處理 (NLP)
  • 資料遺失預防
  • 統一威脅管理
  • 詐欺偵測/反詐欺
  • 威脅情報
  • 其他

第 11 章：依最終用途產業

  • 銀行、金融服務和保險
  • 零售
  • 政府與國防
  • 製造業
  • 企業
  • 衛生保健
  • 汽車與運輸
  • 其他

第 12 章：按地區

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 法國
    • 義大利
    • 西班牙
    • 歐洲其他地區
  • 南美洲
    • 巴西
    • 阿根廷
    • 南美洲其他地區
  • 亞太
    • 中國
    • 印度
    • 日本
    • 澳洲
    • 亞太其他地區
  • 中東和非洲

第 13 章：競爭格局

  • 競爭格局
  • 市場定位/佔有率分析
  • 併購分析

第 14 章：公司簡介

  • NVIDIA
    • 公司概況
    • 產品組合和描述
    • 財務概覽
    • 主要進展
  • Amazon Web Services, Inc.
  • Cylance Inc. (BlackBerry)
  • Darktrace
  • Microsoft Corporation
  • Fortinet, Inc.
  • IBM Corporation
  • Intel Corporation
  • LexisNexis
  • Micron Technology, Inc..

第 15 章：附錄

簡介目錄
Product Code: ICT9296

Global AI in Cybersecurity Market reached US$ 26.29 billion in 2024 and is expected to reach US$ 109.33 billion by 2032, growing with a CAGR of 19.50% during the forecast period 2025-2032.

The global Artificial Intelligence (AI) in cybersecurity market is witnessing robust growth, propelled by the escalating sophistication of cyber threats and the increasing adoption of AI-driven security solutions. Organizations are increasingly integrating AI into their cybersecurity frameworks to bolster threat detection and response capabilities. AI-driven systems can analyze vast amounts of data in real-time, identifying anomalies and potential threats more efficiently than traditional methods. This proactive approach enables quicker responses to cyber incidents, minimizing potential damages and operational disruptions. The emphasis on AI as a core technology in cybersecurity strategies is evident among leading firms, reflecting its growing importance in defending against sophisticated cyber-attacks.

Market Dynamics

Driver - Escalating Sophistication of Cyber Threats

The increasing sophistication of cyber threats is a primary driver for the adoption of AI in cybersecurity. Cyber adversaries are employing advanced techniques, including AI-powered tools, to execute more effective and evasive attacks.

This escalation necessitates the integration of AI in cybersecurity measures to detect and counteract these complex threats effectively. The dual challenge posed by AI being utilized by both defenders and attackers underscores the critical need for advanced AI-driven security solutions.

Restraint - High Implementation Costs and Skill Gaps

Despite its benefits, the implementation of AI in cybersecurity faces challenges such as high initial costs and a shortage of skilled professionals. Deploying AI-driven security systems requires substantial investment in technology and infrastructure, which can be a barrier for small and medium-sized enterprises.

Additionally, there is a notable gap in expertise, as managing and maintaining AI-based security solutions necessitates specialized skills. Balancing security needs with usability remains a challenge, highlighting the need for comprehensive strategies to address these issues.

Segment Analysis

The global AI in cybersecurity market is segmented based on security type, component, deployment type, technology, application, end-use industry, and region.

Network Security represent the largest application segment in the global market.

Network security stands as the largest segment within the AI in cybersecurity market, driven by the critical need to protect organizational networks from increasingly sophisticated cyber threats. The integration of AI into network security enhances the ability to detect and respond to threats in real-time. AI algorithms analyze network traffic patterns, identify anomalies, and predict potential security breaches before they occur. This proactive approach is essential in mitigating risks associated with advanced persistent threats and zero-day vulnerabilities. The demand for AI-driven network security solutions is further propelled by the increasing adoption of cloud services, the proliferation of Internet of Things (IoT) devices, and the shift towards remote work environments. These trends have expanded the attack surface, making robust network security measures more critical than ever.

Geographical Penetration

North America leads the AI in cybersecurity market, attributed to stringent data protection regulations, high adoption rates of AI technologies, and substantial investments in cybersecurity infrastructure.

In 2023, North America dominated the global AI in cybersecurity market, reflecting the region's commitment to enhancing its cybersecurity posture. The United States, in particular, has implemented robust regulatory frameworks to safeguard data and critical infrastructure. Agencies have requested $1.9 billion for research and development investment in AI for fiscal year 2024, underscoring the government's dedication to advancing AI applications in cybersecurity.

The private sector in North America is also proactive in adopting AI-driven cybersecurity solutions. Companies are leveraging AI to enhance threat detection, automate responses, and predict potential security incidents. This proactive approach is crucial in defending against increasingly sophisticated cyber threats.

Technology Roadmap

The global AI in cybersecurity market is expected to evolve significantly over the coming years, driven by advancements in network infrastructure, the expansion of IoT, and the increasing adoption of artificial intelligence (AI) at the edge. Government initiatives, regulatory frameworks, and private sector investments are set to accelerate AI adoption in cybersecurity across multiple industries.

Competitive Landscape

The major Global players in the market include NVIDIA, Amazon Web Services, Inc., Cylance Inc. (BlackBerry), Darktrace, Microsoft Corporation, Fortinet, Inc., IBM Corporation, Intel Corporation, LexisNexis, and Micron Technology, Inc.

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Target Audience 2024

  • Manufacturers/ Buyers
  • Industry Investors/Investment Bankers
  • Research Professionals
  • Emerging Companies

Table of Contents

1. Methodology and Scope

  • 1.1. Research Methodology
  • 1.2. Research Objective and Scope of the Report

2. Definition and Overview

3. Executive Summary

  • 3.1. Snippet by Security Type
  • 3.2. Snippet by Component
  • 3.3. Snippet by Deployment Type
  • 3.4. Snippet by Technology
  • 3.5. Snippet by Application
  • 3.6. Snippet by End-Use Industry
  • 3.7. Snippet by Region

4. Dynamics

  • 4.1. Impacting Factors
    • 4.1.1. Drivers
      • 4.1.1.1. Escalating Sophistication of Cyber Threats
    • 4.1.2. Restraints
      • 4.1.2.1. High Implementation Costs and Skill Gaps
    • 4.1.3. Opportunity
    • 4.1.4. Impact Analysis

5. Industry Analysis

  • 5.1. Porter's Five Force Analysis
  • 5.2. Supply Chain Analysis
  • 5.3. Value Chain Analysis
  • 5.4. Pricing Analysis
  • 5.5. Regulatory and Compliance Analysis
  • 5.6. AI & Automation Impact Analysis
  • 5.7. R&D and Innovation Analysis
  • 5.8. Sustainability & Green Technology Analysis
  • 5.9. Cybersecurity Analysis
  • 5.10. Next Generation Technology Analysis
  • 5.11. Technology Roadmap
  • 5.12. DMI Opinion

6. By Security Type

  • 6.1. Introduction
    • 6.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Security Type
    • 6.1.2. Market Attractiveness Index, By Security Type
  • 6.2. Network Security*
    • 6.2.1. Introduction
    • 6.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 6.3. Endpoint Security
  • 6.4. Application Security
  • 6.5. Hardware Security
  • 6.6. Others

7. By Component

  • 7.1. Introduction
    • 7.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 7.1.2. Market Attractiveness Index, By Component
  • 7.2. Hardware*
    • 7.2.1. Introduction
    • 7.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
    • 7.2.3. Accelerators
    • 7.2.4. Processors
    • 7.2.5. Storage
    • 7.2.6. Others
  • 7.3. Solutions
    • 7.3.1. Software
    • 7.3.2. Platforms
  • 7.4. Services
    • 7.4.1. Professional Services
    • 7.4.2. Managed Services

8. By Deployment Type

  • 8.1. Introduction
    • 8.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Type
    • 8.1.2. Market Attractiveness Index, By Deployment Type
  • 8.2. On-premises*
    • 8.2.1. Introduction
    • 8.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 8.3. Cloud-based

9. By Technology

  • 9.1. Introduction
    • 9.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
    • 9.1.2. Market Attractiveness Index, By Technology
  • 9.2. Machine Learning*
    • 9.2.1. Introduction
    • 9.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 9.3. Natural Language Processing (NLP)
  • 9.4. Context-aware computing
  • 9.5. Others

10. By Application

  • 10.1. Introduction
    • 10.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 10.1.2. Market Attractiveness Index, By Application
  • 10.2. Identity and Access Management*
    • 10.2.1. Introduction
    • 10.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 10.3. Natural Language Processing (NLP)
  • 10.4. Data Loss Prevention
  • 10.5. Unified Threat Management
  • 10.6. Fraud Detection/Anti-Fraud
  • 10.7. Threat Intelligence
  • 10.8. Others

11. By End-Use Industry

  • 11.1. Introduction
    • 11.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-Use Industry
    • 11.1.2. Market Attractiveness Index, By End-Use Industry
  • 11.2. Banking, Financial Services and Insurance*
    • 11.2.1. Introduction
    • 11.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 11.3. Retail
  • 11.4. Government & Defense
  • 11.5. Manufacturing
  • 11.6. Enterprise
  • 11.7. Healthcare
  • 11.8. Automotive & Transportation
  • 11.9. Others

12. By Region

  • 12.1. Introduction
    • 12.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Region
    • 12.1.2. Market Attractiveness Index, By Region
  • 12.2. North America
    • 12.2.1. Introduction
    • 12.2.2. Key Region-Specific Dynamics
    • 12.2.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Security Type
    • 12.2.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 12.2.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Type
    • 12.2.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
    • 12.2.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 12.2.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-Use Industry
    • 12.2.9. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 12.2.9.1. US
      • 12.2.9.2. Canada
      • 12.2.9.3. Mexico
  • 12.3. Europe
    • 12.3.1. Introduction
    • 12.3.2. Key Region-Specific Dynamics
    • 12.3.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Security Type
    • 12.3.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 12.3.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Type
    • 12.3.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
    • 12.3.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 12.3.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-Use Industry
    • 12.3.9. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 12.3.9.1. Germany
      • 12.3.9.2. UK
      • 12.3.9.3. France
      • 12.3.9.4. Italy
      • 12.3.9.5. Spain
      • 12.3.9.6. Rest of Europe
  • 12.4. South America
    • 12.4.1. Introduction
    • 12.4.2. Key Region-Specific Dynamics
    • 12.4.3. Key Region-Specific Dynamics
    • 12.4.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Security Type
    • 12.4.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 12.4.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Type
    • 12.4.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
    • 12.4.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 12.4.9. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-Use Industry
    • 12.4.10. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 12.4.10.1. Brazil
      • 12.4.10.2. Argentina
      • 12.4.10.3. Rest of South America
  • 12.5. Asia-Pacific
    • 12.5.1. Introduction
    • 12.5.2. Key Region-Specific Dynamics
    • 12.5.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Security Type
    • 12.5.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 12.5.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Type
    • 12.5.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
    • 12.5.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 12.5.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-Use Industry
    • 12.5.9. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 12.5.9.1. China
      • 12.5.9.2. India
      • 12.5.9.3. Japan
      • 12.5.9.4. Australia
      • 12.5.9.5. Rest of Asia-Pacific
  • 12.6. Middle East and Africa
    • 12.6.1. Introduction
    • 12.6.2. Key Region-Specific Dynamics
    • 12.6.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Security Type
    • 12.6.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 12.6.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Type
    • 12.6.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
    • 12.6.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 12.6.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-Use Industry

13. Competitive Landscape

  • 13.1. Competitive Scenario
  • 13.2. Market Positioning/Share Analysis
  • 13.3. Mergers and Acquisitions Analysis

14. Company Profiles

  • 14.1. NVIDIA*
    • 14.1.1. Company Overview
    • 14.1.2. Product Portfolio and Description
    • 14.1.3. Financial Overview
    • 14.1.4. Key Developments
  • 14.2. Amazon Web Services, Inc.
  • 14.3. Cylance Inc. (BlackBerry)
  • 14.4. Darktrace
  • 14.5. Microsoft Corporation
  • 14.6. Fortinet, Inc.
  • 14.7. IBM Corporation
  • 14.8. Intel Corporation
  • 14.9. LexisNexis
  • 14.10. Micron Technology, Inc..

LIST NOT EXHAUSTIVE

15. Appendix

  • 15.1. About Us and Services
  • 15.2. Contact Us