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市场调查报告书
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1662660

2030 年人工智慧网路安全市场预测：按类型、组件、技术、应用、最终用户和地区进行的全球分析

Generative AI Cybersecurity Market Forecasts to 2030 - Global Analysis By Type, Component, Technology, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3个工作天内

价格

根据 Stratistics MRC 的数据，全球生成式人工智慧网路安全市场预计在 2024 年将达到 71 亿美元，到 2030 年将达到 437 亿美元，预测期内的复合年增长率为 35.4%。

生成式人工智慧网路安全是利用人工智慧保护数位资产、网路和系统免受网路威胁的实践。这涉及使用可以产生解决方案、策略和对策的人工智慧模型来检测、分析和应对网路安全风险。这些模型通常由深度学习和自然语言处理驱动，可识别大量资料中的模式，模拟攻击场景并即时预测潜在漏洞。生成式人工智慧可以自动执行异常侦测、威胁建模和风险评估等任务，以更快地识别潜在的违规和攻击。

网路攻击的频率和复杂度不断增加

网路威胁情势不断演变，攻击变得更加频繁、复杂和具有影响力。网路犯罪分子正在使用零时差漏洞、勒索软体和网路钓鱼攻击等先进技术来渗透网路、窃取资料并破坏关键业务。传统的安全措施通常不足以侦测和应对这些不断演变的威胁。生成式人工智慧透过其先进的威胁侦测功能提供了强大的解决方案，使组织能够主动识别和减轻这些进阶攻击，从而推动市场成长。

资料隐私问题

在网路安全中使用生成式人工智慧需要收集和分析大量资料，包括有关个人和组织的敏感资讯。这引发了人们对资料隐私和安全的严重担忧。敏感资料处理不当可能会产生严重后果，包括声誉损害、法律责任和财务损失。组织需要仔细考虑资料隐私法规并实施强有力的资料保护措施，以确保在网路安全中合乎道德和负责任地使用人工智慧，这阻碍了市场的成长。

自动化响应并改善安全态势

生成式人工智慧使组织能够自动化网路安全业务的各个方面，包括威胁搜寻、事件回应和漏洞管理。透过自动执行这些任务，公司可以释放其安全团队，使其专注于更具策略性的计划，例如威胁情报分析和安全策略制定。此外，人工智慧可以持续分析大量资料以识别模式和异常，为组织的安全态势提供宝贵的见解。这使组织能够主动识别和解决漏洞，从而显着降低其整体风险敞口。

实施复杂性

实施和维护人工智慧驱动的网路安全解决方案可能很复杂且具有挑战性。有效地整合和管理这些解决方案需要在人工智慧和网路安全方面具有专业知识的熟练专家。此外，将人工智慧工具与现有的安全基础设施结合可能非常复杂且耗时。此外，人工智慧技术的快速发展需要不断学习和适应，迫使企业投资安全团队的持续培训和发展，阻碍了市场的发展。

COVID-19 的影响

新冠疫情大大加速了远距工作数位化的转变，扩大了网路犯罪分子的攻击面。远端工作环境的突然激增产生了新的漏洞并增加了网路攻击的风险。这增加了对强大的网路安全解决方案的需求，并推动了对基于人工智慧的安全技术的需求。此外，疫情凸显了业务永续营运连续性和弹性的重要性，促使企业在网路安全措施上投入更多资金，以确保在出现意外中断时业务不会中断。

威胁侦测和分析部分预计将成为预测期内最大的部分

威胁侦测和分析领域预计将在预测期内占据最大的市场占有率，因为识别预示潜在网路威胁的模式和异常可以增强主动安全措施。这些模型还可以预测攻击，帮助组织预测攻击的发生。这种从被动安全到主动安全转变增强了您的防御能力。有效的威胁侦测系统使用人工智慧来对抗人工智慧产生的威胁，并且可以自主分析恶意内容并即时推荐或执行缓解策略。

预计预测期内，生成对抗网路部分将以最高的复合年增长率成长。

由于先进的威胁模拟、改进的网路安全措施和增强的异常检测，生成对抗网路部分预计将在预测期内实现最高成长率。 GAN 能够产生逼真但无害的异常，从而增强入侵侦测系统。另一方面，GAN 可用于高级网路钓鱼和深度造假攻击，以创建令人信服的网路钓鱼电子邮件、音讯和影片。它们还能够产生逃避传统检测方法的恶意软体，从而进一步推动市场成长。

比最大的地区

由于领先的人工智慧研究机构、高科技公司和网路安全新兴企业，预计北美将在预测期内占据最大的市场占有率。企业和政府机构越来越多地采用生成式人工智慧等先进技术来进行威胁侦测和自动回应。该地区正面临日益严重的网路威胁，例如勒索软体、网路钓鱼和进阶持续性威胁，推动对生成性人工智慧解决方案的需求以促进区域市场的发展。

复合年增长率最高的地区

由于中国和韩国正在大力投资人工智慧研发，尤其是网路安全的生成人工智慧，预计亚太地区将在预测期内呈现最高的复合年增长率。政府和企业都优先考虑强大的网路防御来保护其关键资料。更严格的资料保护法，例如中国的《网路安全法》和印度的《数位个人资料保护法》，正在鼓励企业采用先进的安全措施。亚太地区（尤其是印度和东南亚）快速成长的电子商务和金融科技领域需要先进的人工智慧网路安全解决方案来打击诈欺和保护交易。

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    • 主要企业的 SWOT 分析（最多 3 家公司）
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    • 根据产品系列、地理分布和策略联盟对主要企业基准化分析

目录

第一章执行摘要

第 2 章 前言

  • 概述
  • 相关利益者
  • 研究范围
  • 调查方法
    • 资料探勘
    • 资料分析
    • 资料检验
    • 研究途径
  • 研究资讯来源
    • 主要研究资讯来源
    • 二手研究资料资讯来源
    • 先决条件

第三章 市场走势分析

  • 介绍
  • 驱动程式
  • 限制因素
  • 机会
  • 威胁
  • 技术分析
  • 应用分析
  • 最终用户分析
  • 新兴市场
  • COVID-19 的影响

第 4 章 波特五力分析

  • 供应商的议价能力
  • 买家的议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争对手之间的竞争

5. 全球人工智慧网路安全市场类型

  • 介绍
  • 威胁侦测与分析
  • 对抗性防御
  • 内部威胁侦测
  • 网路安全
  • 其他的

6. 全球人工智慧网路安全市场（按组件划分）

  • 介绍
  • 硬体
    • AI 加速器和边缘设备
    • 伺服器和储存系统
  • 软体
    • 安全平台
    • 预测分析工具
    • 自动事件回应系统
  • 服务
    • 专业服务
    • 託管服务
  • 其他的

7. 全球人工智慧网路安全市场（按技术）

  • 介绍
  • 生成对抗网络
  • 变分自动编码器
  • 强化学习
  • 深度神经网络
  • 自然语言处理
  • 其他的

8. 全球人工智慧网路安全市场（按应用）

  • 介绍
  • 零日威胁侦测
  • 流量分析
  • 识别敏感资料
  • 网路钓鱼和恶意软体检测
  • 异常检测
  • 入侵侦测和预防系统
  • 事件分析与取证
  • 加密流量分析
  • 行为分析和特权存取监控
  • 自动威胁回应
  • 其他的

9. 全球人工智慧网路安全市场（按最终用户划分）

  • 介绍
  • 银行、金融服务和保险
  • 医疗保健和生命科学
  • 政府和国防
  • 零售与电子商务
  • 资讯科技（IT）和通讯
  • 能源公共产业
  • 其他的

第 10 章 全球人工智慧网路安全市场（按地区）

  • 介绍
  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 欧洲其他地区
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 其他亚太地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地区
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲地区

第十一章 重大进展

  • 协议、伙伴关係、合作和合资企业
  • 收购与合併
  • 新产品发布
  • 业务扩展
  • 其他关键策略

第十二章 公司概况

  • Acalvio Technologies, Inc.
  • Amazon Web Services, Inc.
  • BlackBerry Limited
  • Capgemini SA
  • Cisco Systems, Inc.
  • CrowdStrike, Inc.
  • Cylance Inc
  • Darktrace
  • FireEye, Inc.
  • Fortinet, Inc.
  • Google LLC
  • HCL Technologies Limited
  • IBM Corporation
  • Intel Corporation
  • LexisNexis
  • Micron Technology, Inc.
  • Microsoft Corporate
  • NVIDIA Corporation
Product Code: SMRC28521

According to Stratistics MRC, the Global Generative AI Cybersecurity Market is accounted for $7.1 billion in 2024 and is expected to reach $43.7 billion by 2030 growing at a CAGR of 35.4% during the forecast period. Generative AI cybersecurity is a method that uses artificial intelligence to protect digital assets, networks, and systems from cyber threats. It involves using AI models that can generate solutions, strategies, or countermeasures to detect, analyze, and respond to cybersecurity risks. These models, often powered by deep learning and natural language processing, can identify patterns in vast amounts of data, simulate attack scenarios, and predict potential vulnerabilities in real time. Generative AI can automate tasks like anomaly detection, threat modeling, and risk assessment, enabling faster identification of potential breaches or attacks.

Market Dynamics:

Driver:

Increasing frequency and sophistication of cyber attacks

The cyber threat landscape is constantly evolving, with attacks becoming increasingly frequent, sophisticated, and impactful. Cybercriminals are employing advanced techniques like zero-day exploits, ransomware, and phishing attacks to infiltrate networks, steal data, and disrupt critical operations. Traditional security measures are often insufficient to detect and respond to these evolving threats. Generative AI offers a powerful solution by enabling organizations to proactively identify and mitigate these sophisticated attacks through advanced threat detection capabilities propelling the market growth.

Restraint:

Data privacy concerns

The use of generative AI in cybersecurity necessitates the collection and analysis of vast amounts of data, including sensitive information about individuals and organizations. This raises significant concerns about data privacy and security. Improper handling of sensitive data can lead to severe consequences, including reputational damage, legal liabilities, and financial losses. Organizations must carefully consider data privacy regulations and implement robust data protection measures to ensure the ethical and responsible use of AI in cybersecurity which hampers the market growth.

Opportunity:

Automated response & improved security posture

Generative AI empowers organizations to automate various aspects of cybersecurity operations, such as threat hunting, incident response, and vulnerability management. By automating these tasks, organizations can free up security teams to focus on more strategic initiatives, such as threat intelligence analysis and security strategy development. Furthermore, AI can continuously analyze vast amounts of data to identify patterns and anomalies, providing valuable insights into an organization's security posture. This allows organizations to proactively identify and address vulnerabilities, significantly reducing their overall risk exposure.

Threat:

Complexity of implementation

Implementing and maintaining AI-powered cybersecurity solutions can be complex and challenging. Organizations require skilled professionals with expertise in both AI and cybersecurity to effectively integrate and manage these solutions. Additionally, integrating AI-powered tools with existing security infrastructure can be complex and time-consuming. Furthermore, the rapid evolution of AI technology necessitates continuous learning and adaptation, requiring organizations to invest in ongoing training and development for their security teams impeding the market growth.

Covid-19 Impact

The Covid-19 pandemic significantly accelerated the shift towards remote work and digitalization, increasing the attack surface for cybercriminals. The sudden surge in remote work environments created new vulnerabilities and increased the risk of cyberattacks. This heightened the need for robust cybersecurity solutions, driving increased demand for AI-powered security technologies. Besides, the pandemic emphasized the importance of business continuity and resilience, leading organizations to invest more heavily in cybersecurity measures to ensure uninterrupted operations in the face of unforeseen disruptions.

The threat detection & analysis segment is expected to be the largest during the forecast period

The threat detection & analysis segment is expected to account for the largest market share during the forecast period due to enhanced proactive security measures by identifying patterns and anomalies that signal potential cyber threats. These models can also predict attacks, helping organizations anticipate them before they occur. This shift from reactive to proactive security strengthens defenses. Effective threat detection systems use AI to combat these AI-generated threats and can autonomously analyze malicious content and recommend or execute mitigation strategies in real-time.

The generative adversarial networks segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the generative adversarial networks segment is predicted to witness the highest growth rate owing to advanced threat simulation, improving cybersecurity measures, and enhancing anomaly detection. They can generate realistic but benign anomalies, enhancing intrusion detection systems. On the other hand, GANs can be used for sophisticated phishing and deepfake attacks, creating convincing phishing emails, voices, or videos. They can also generate malware that bypasses traditional detection methods boosting the markets growth.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share due to leading AI research institutions, tech companies, and cybersecurity startups, is a hub for innovation in generative AI applications. Businesses and government agencies often adopt advanced technologies like generative AI for threat detection and automated response. The region faces increased cyber threats like ransomware, phishing, and advanced persistent threats, necessitating the need for generative AI solutions encouraging the regions market.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR owing to China and South Korea investing heavily in AI research and development, particularly generative AI for cybersecurity. Governments and enterprises prioritize robust cyber defenses to safeguard critical data. Stricter data protection laws, such as China's Cybersecurity Law and India's Digital Personal Data Protection Act, are pushing businesses to adopt advanced security measures. The booming e-commerce and FinTech sectors in APAC, particularly India and Southeast Asia, require advanced AI-driven cybersecurity solutions to combat fraud and protect transactions.

Key players in the market

Some of the key players in Generative AI Cybersecurity market include Acalvio Technologies, Inc., Amazon Web Services, Inc., BlackBerry Limited, Capgemini S.A., Cisco Systems, Inc., CrowdStrike, Inc., Cylance Inc, Darktrace, FireEye, Inc., Fortinet, Inc., Google LLC, HCL Technologies Limited, IBM Corporation, Intel Corporation, LexisNexis, Micron Technology, Inc., Microsoft Corporate and NVIDIA Corporation.

Key Developments:

In January 2025, Walmart GoLocal, Walmart's white-label delivery service for retailers, and IBM announced the integration of Walmart GoLocal into IBM Sterling Order Management, combining a leading order management platform with last-mile delivery.

In November 2024, Cisco, announced an expanded partnership to transform how global enterprises access wireless connectivity. As demand for flexible and cost-effective connectivity surges, Cisco and NTT DATA are responding with a unified solution backed by world-class support services from both companies.

In September 2024, IBM announced its intent to acquire Accelalpha, a global Oracle services provider with deep expertise helping clients digitize core business operations and accelerate adoption of Oracle Cloud Applications.

Types Covered:

  • Threat Detection & Analysis
  • Adversarial Defense
  • Insider Threat Detection
  • Network Security
  • Other Types

Components Covered:

  • Hardware
  • Software
  • Services
  • Other Components

Technologies Covered:

  • Generative Adversarial Networks
  • Variational Autoencoders
  • Reinforcement Learning
  • Deep Neural Networks
  • Natural Language Processing
  • Other Technologies

Applications Covered:

  • Zero-Day Threat Detection
  • Traffic Analysis
  • Sensitive Data Identification
  • Phishing & Malware Detection
  • Anomaly Detection
  • Intrusion Detection & Prevention Systems
  • Incident Analysis & Forensics
  • Encrypted Traffic Analysis
  • Behavioral Analytics & Privileged Access Monitoring
  • Automated Threat Response
  • Other Applications

End Users Covered:

  • Banking, Financial Services, and Insurance
  • Healthcare & Life Sciences
  • Government & Defense
  • Retail & E-Commerce
  • Information Technology (IT) & Telecommunications
  • Energy & Utilities
  • Other End Users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2022, 2023, 2024, 2026, and 2030
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Technology Analysis
  • 3.7 Application Analysis
  • 3.8 End User Analysis
  • 3.9 Emerging Markets
  • 3.10 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Generative AI Cybersecurity Market, By Type

  • 5.1 Introduction
  • 5.2 Threat Detection & Analysis
  • 5.3 Adversarial Defense
  • 5.4 Insider Threat Detection
  • 5.5 Network Security
  • 5.6 Other Types

6 Global Generative AI Cybersecurity Market, By Component

  • 6.1 Introduction
  • 6.2 Hardware
    • 6.2.1 AI Accelerators & Edge Devices
    • 6.2.2 Servers & Storage Systems
  • 6.3 Software
    • 6.3.1 Security Platforms
    • 6.3.2 Predictive Analytics Tools
    • 6.3.3 Automated Incident Response Systems
  • 6.4 Services
    • 6.4.1 Professional Services
    • 6.4.2 Managed Services
  • 6.5 Other Components

7 Global Generative AI Cybersecurity Market, By Technology

  • 7.1 Introduction
  • 7.2 Generative Adversarial Networks
  • 7.3 Variational Autoencoders
  • 7.4 Reinforcement Learning
  • 7.5 Deep Neural Networks
  • 7.6 Natural Language Processing
  • 7.7 Other Technologies

8 Global Generative AI Cybersecurity Market, By Application

  • 8.1 Introduction
  • 8.2 Zero-Day Threat Detection
  • 8.3 Traffic Analysis
  • 8.4 Sensitive Data Identification
  • 8.5 Phishing & Malware Detection
  • 8.6 Anomaly Detection
  • 8.7 Intrusion Detection & Prevention Systems
  • 8.8 Incident Analysis & Forensics
  • 8.9 Encrypted Traffic Analysis
  • 8.10 Behavioral Analytics & Privileged Access Monitoring
  • 8.11 Automated Threat Response
  • 8.12 Other Applications

9 Global Generative AI Cybersecurity Market, By End User

  • 9.1 Introduction
  • 9.2 Banking, Financial Services, and Insurance
  • 9.3 Healthcare & Life Sciences
  • 9.4 Government & Defense
  • 9.5 Retail & E-Commerce
  • 9.6 Information Technology (IT) & Telecommunications
  • 9.7 Energy & Utilities
  • 9.9 Other End Users

10 Global Generative AI Cybersecurity Market, By Geography

  • 10.1 Introduction
  • 10.2 North America
    • 10.2.1 US
    • 10.2.2 Canada
    • 10.2.3 Mexico
  • 10.3 Europe
    • 10.3.1 Germany
    • 10.3.2 UK
    • 10.3.3 Italy
    • 10.3.4 France
    • 10.3.5 Spain
    • 10.3.6 Rest of Europe
  • 10.4 Asia Pacific
    • 10.4.1 Japan
    • 10.4.2 China
    • 10.4.3 India
    • 10.4.4 Australia
    • 10.4.5 New Zealand
    • 10.4.6 South Korea
    • 10.4.7 Rest of Asia Pacific
  • 10.5 South America
    • 10.5.1 Argentina
    • 10.5.2 Brazil
    • 10.5.3 Chile
    • 10.5.4 Rest of South America
  • 10.6 Middle East & Africa
    • 10.6.1 Saudi Arabia
    • 10.6.2 UAE
    • 10.6.3 Qatar
    • 10.6.4 South Africa
    • 10.6.5 Rest of Middle East & Africa

11 Key Developments

  • 11.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 11.2 Acquisitions & Mergers
  • 11.3 New Product Launch
  • 11.4 Expansions
  • 11.5 Other Key Strategies

12 Company Profiling

  • 12.1 Acalvio Technologies, Inc.
  • 12.2 Amazon Web Services, Inc.
  • 12.3 BlackBerry Limited
  • 12.4 Capgemini S.A.
  • 12.5 Cisco Systems, Inc.
  • 12.6 CrowdStrike, Inc.
  • 12.7 Cylance Inc
  • 12.8 Darktrace
  • 12.9 FireEye, Inc.
  • 12.10 Fortinet, Inc.
  • 12.11 Google LLC
  • 12.12 HCL Technologies Limited
  • 12.13 IBM Corporation
  • 12.14 Intel Corporation
  • 12.15 LexisNexis
  • 12.16 Micron Technology, Inc.
  • 12.17 Microsoft Corporate
  • 12.18 NVIDIA Corporation

List of Tables

  • Table 1 Global Generative AI Cybersecurity Market Outlook, By Region (2022-2030) ($MN)
  • Table 2 Global Generative AI Cybersecurity Market Outlook, By Type (2022-2030) ($MN)
  • Table 3 Global Generative AI Cybersecurity Market Outlook, By Threat Detection & Analysis (2022-2030) ($MN)
  • Table 4 Global Generative AI Cybersecurity Market Outlook, By Adversarial Defense (2022-2030) ($MN)
  • Table 5 Global Generative AI Cybersecurity Market Outlook, By Insider Threat Detection (2022-2030) ($MN)
  • Table 6 Global Generative AI Cybersecurity Market Outlook, By Network Security (2022-2030) ($MN)
  • Table 7 Global Generative AI Cybersecurity Market Outlook, By Other Types (2022-2030) ($MN)
  • Table 8 Global Generative AI Cybersecurity Market Outlook, By Component (2022-2030) ($MN)
  • Table 9 Global Generative AI Cybersecurity Market Outlook, By Hardware (2022-2030) ($MN)
  • Table 10 Global Generative AI Cybersecurity Market Outlook, By AI Accelerators & Edge Devices (2022-2030) ($MN)
  • Table 11 Global Generative AI Cybersecurity Market Outlook, By Servers & Storage Systems (2022-2030) ($MN)
  • Table 12 Global Generative AI Cybersecurity Market Outlook, By Software (2022-2030) ($MN)
  • Table 13 Global Generative AI Cybersecurity Market Outlook, By Security Platforms (2022-2030) ($MN)
  • Table 14 Global Generative AI Cybersecurity Market Outlook, By Predictive Analytics Tools (2022-2030) ($MN)
  • Table 15 Global Generative AI Cybersecurity Market Outlook, By Automated Incident Response Systems (2022-2030) ($MN)
  • Table 16 Global Generative AI Cybersecurity Market Outlook, By Services (2022-2030) ($MN)
  • Table 17 Global Generative AI Cybersecurity Market Outlook, By Professional Services (2022-2030) ($MN)
  • Table 18 Global Generative AI Cybersecurity Market Outlook, By Managed Services (2022-2030) ($MN)
  • Table 19 Global Generative AI Cybersecurity Market Outlook, By Other Components (2022-2030) ($MN)
  • Table 20 Global Generative AI Cybersecurity Market Outlook, By Technology (2022-2030) ($MN)
  • Table 21 Global Generative AI Cybersecurity Market Outlook, By Generative Adversarial Networks (2022-2030) ($MN)
  • Table 22 Global Generative AI Cybersecurity Market Outlook, By Variational Autoencoders (2022-2030) ($MN)
  • Table 23 Global Generative AI Cybersecurity Market Outlook, By Reinforcement Learning (2022-2030) ($MN)
  • Table 24 Global Generative AI Cybersecurity Market Outlook, By Deep Neural Networks (2022-2030) ($MN)
  • Table 25 Global Generative AI Cybersecurity Market Outlook, By Natural Language Processing (2022-2030) ($MN)
  • Table 26 Global Generative AI Cybersecurity Market Outlook, By Other Technologies (2022-2030) ($MN)
  • Table 27 Global Generative AI Cybersecurity Market Outlook, By Application (2022-2030) ($MN)
  • Table 28 Global Generative AI Cybersecurity Market Outlook, By Zero-Day Threat Detection (2022-2030) ($MN)
  • Table 29 Global Generative AI Cybersecurity Market Outlook, By Traffic Analysis (2022-2030) ($MN)
  • Table 30 Global Generative AI Cybersecurity Market Outlook, By Sensitive Data Identification (2022-2030) ($MN)
  • Table 31 Global Generative AI Cybersecurity Market Outlook, By Phishing & Malware Detection (2022-2030) ($MN)
  • Table 32 Global Generative AI Cybersecurity Market Outlook, By Anomaly Detection (2022-2030) ($MN)
  • Table 33 Global Generative AI Cybersecurity Market Outlook, By Intrusion Detection & Prevention Systems (2022-2030) ($MN)
  • Table 34 Global Generative AI Cybersecurity Market Outlook, By Incident Analysis & Forensics (2022-2030) ($MN)
  • Table 35 Global Generative AI Cybersecurity Market Outlook, By Encrypted Traffic Analysis (2022-2030) ($MN)
  • Table 36 Global Generative AI Cybersecurity Market Outlook, By Behavioral Analytics & Privileged Access Monitoring (2022-2030) ($MN)
  • Table 37 Global Generative AI Cybersecurity Market Outlook, By Automated Threat Response (2022-2030) ($MN)
  • Table 38 Global Generative AI Cybersecurity Market Outlook, By Other Applications (2022-2030) ($MN)
  • Table 39 Global Generative AI Cybersecurity Market Outlook, By End User (2022-2030) ($MN)
  • Table 40 Global Generative AI Cybersecurity Market Outlook, By Banking, Financial Services, and Insurance (2022-2030) ($MN)
  • Table 41 Global Generative AI Cybersecurity Market Outlook, By Healthcare & Life Sciences (2022-2030) ($MN)
  • Table 42 Global Generative AI Cybersecurity Market Outlook, By Government & Defense (2022-2030) ($MN)
  • Table 43 Global Generative AI Cybersecurity Market Outlook, By Retail & E-Commerce (2022-2030) ($MN)
  • Table 44 Global Generative AI Cybersecurity Market Outlook, By Information Technology (IT) & Telecommunications (2022-2030) ($MN)
  • Table 45 Global Generative AI Cybersecurity Market Outlook, By Energy & Utilities (2022-2030) ($MN)
  • Table 46 Global Generative AI Cybersecurity Market Outlook, By Other End Users (2022-2030) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.