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封面
市场调查报告书
商品编码
1683333

全球网路安全市场中的人工智慧 - 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个工作天内

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简介目录

2024 年全球网路安全人工智慧市场规模达到 262.9 亿美元，预计到 2032 年将达到 1,093.3 亿美元，2025-2032 年预测期内的复合年增长率为 19.50%。

随着网路威胁日益复杂化以及人工智慧驱动的安全解决方案的日益普及，全球网路安全市场中的人工智慧 (AI) 正在经历强劲成长。越来越多的组织将人工智慧融入其网路安全框架中，以增强威胁侦测和回应能力。人工智慧系统可以即时分析大量资料，比传统方法更有效地识别异常和潜在威胁。这种主动方法能够更快地对网路事件做出反应，最大限度地减少潜在损害和营运中断。领先公司明显重视人工智慧作为网路安全策略的核心技术，反映出其在防御复杂网路攻击方面的重要性日益增加。

市场动态

驱动因素－网路威胁日益复杂

网路威胁日益复杂化是网路安全采用人工智慧的主要驱动力。网路对手正在采用包括人工智慧工具在内的先进技术来发动更有效、更规避性的攻击。

这种升级需要将人工智慧融入网路安全措施中，以有效地侦测和应对这些复杂的威胁。防御者和攻击者都使用人工智慧，这一双重挑战凸显了对先进的人工智慧驱动的安全解决方案的迫切需求。

限制－实施成本高且技能差距

儘管人工智慧在网路安全领域的应用有许多好处，但它面临着初始成本高和专业人员短缺等挑战。部署人工智慧驱动的安全系统需要在技术和基础设施上进行大量投资，这对中小企业来说可能是一个障碍。

此外，专业知识方面也存在明显差距，因为管理和维护基于人工智慧的安全解决方案需要专业技能。平衡安全性需求和可用性仍然是一个挑战，凸显了需要采取全面的策略来解决这些问题。

目录

第 1 章：方法与范围

第 2 章：定义与概述

第 3 章：执行摘要

第 4 章：动态

  • 影响因素
    • 驱动程式
      • 网路威胁日益复杂
    • 限制
      • 实施成本高且技能差距
    • 机会
    • 影响分析

第五章：产业分析

  • 波特五力分析
  • 供应链分析
  • 价值链分析
  • 定价分析
  • 监理与合规性分析
  • 人工智慧与自动化影响分析
  • 研发与创新分析
  • 永续性与绿色技术分析
  • 网路安全分析
  • 下一代技术分析
  • 技术路线图
  • DMI 意见

第 6 章：按证券类型

  • 网路安全
  • 端点安全
  • 应用程式安全
  • 硬体安全
  • 其他的

第 7 章：按组件

  • 硬体
    • 加速器
    • 处理器
    • 贮存
    • 其他的
  • 解决方案
    • 软体
    • 平台
  • 服务
    • 专业服务
    • 託管服务

第 8 章：按部署类型

  • 本地
  • 基于云端

第 9 章：按技术

  • 机器学习
  • 自然语言处理 (NLP)
  • 情境感知计算
  • 其他的

第 10 章：按应用

  • 身分和存取管理
  • 自然语言处理 (NLP)
  • 资料遗失预防
  • 统一威胁管理
  • 诈欺侦测/反诈欺
  • 威胁情报
  • 其他的

第 11 章：依最终用途产业

  • 银行、金融服务和保险
  • 零售
  • 政府与国防
  • 製造业
  • 企业
  • 卫生保健
  • 汽车与运输
  • 其他的

第 12 章：按地区

  • 北美洲
    • 我们
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 法国
    • 义大利
    • 西班牙
    • 欧洲其他地区
  • 南美洲
    • 巴西
    • 阿根廷
    • 南美洲其他地区
  • 亚太
    • 中国
    • 印度
    • 日本
    • 澳洲
    • 亚太其他地区
  • 中东和非洲

第 13 章：竞争格局

  • 竞争格局
  • 市场定位/份额分析
  • 併购分析

第 14 章：公司简介

  • NVIDIA
    • 公司概况
    • 产品组合和描述
    • 财务概览
    • 主要进展
  • Amazon Web Services, Inc.
  • Cylance Inc. (BlackBerry)
  • Darktrace
  • Microsoft Corporation
  • Fortinet, Inc.
  • IBM Corporation
  • Intel Corporation
  • LexisNexis
  • Micron Technology, Inc..

第 15 章：附录

简介目录
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