生成式 AI 网路安全市场:现状分析与预测(2024年～2032年)

预计预测期内（2024-2032 年），生成式 AI 网路安全市场将以 21.5% 的显着复合年增长率成长。网路攻击（包括涉及人工智慧的攻击）的增多使得采取主动手段即时防御新的和以前从未见过的威胁变得至关重要。企业逐渐采用零信任安全模型，该模型包含对使用者和设备的持续识别，这促使人们渴望能够即时做出决策的基于人工智慧的解决方案。然而，企业和政府对创新技术的需求和资金不断增加，刺激了网路安全领域采用人工智慧和相关解决方案。例如，2024年4月9日，微软宣布将在未来两年内投资29亿美元扩展其在日本的超大规模云端运算和AI基础设施。它还将扩大其数位技能计划，在未来三年内为 300 多万人提供人工智慧技能，在日本开设首个微软亚洲研究院，并深化与日本政府的网路安全合作。

依部署情况，市场分为内部部署、云端和混合式部署。到 2023 年，本地部署将占据市场的很大占有率。内部部署将促进生成式人工智慧网路安全的发展，因为它为组织提供了对资料安全的更大控制以及对监管规则和标准的遵守。一些需要保护某些资料的行业，例如政府、医疗保健和金融，倾向于采用内部部署 AI 解决方案。这使您可以购买专门针对您的基础设施的基于人工智慧的网路安全工具。这些解决方案适用于需要客製化和全面控制安全的企业级组织。

技术分为生成对抗网路 (GAN)、变分自动编码器 (VAE)、强化学习 (RL)、深度神经网路 (DNN)、自然语言处理 (NLP) 等。生成对抗网路 (GAN) 将在 2023 年占据大部分市场占有率。随着网路安全威胁的日益加剧，GAN 透过创建可用于复製可能的攻击并建立强大防御的对抗性范例来填补关键空白。在漏洞测试和威胁模拟方面，GAN 可以透过揭示和模拟未来可能发生的现实威胁来帮助企业。企业将提高其威胁情报并加强防御能力。换句话说，透过 GAN，组织可以对抗更高级的网路威胁并改善其组织的安全态势。

根据应用，市场细分为网路安全、端点安全、云端安全、应用安全和其他。 2023年，网路安全将占据市场的很大占有率。网路安全涉及保护电脑平台免受未经授权的入侵和干扰其控制。专门用于网路安全的人工智慧工具会持续侦测任何形式的异常并自动回应。此外，企业正在整合以人工智慧为基础的网路安全，以协助保护企业网路免受新兴威胁。该领域生成式人工智慧市场的强劲成长是由需要保护的物联网环境和云端的兴起所推动的。例如，2024 年 5 月 2 日，推动网路和安全融合的全球网路安全领导者 Fortinet（纳斯达克股票代码：FTNT）宣布对其生成式人工智慧（GenAI）产品组合进行新的更新，以增强网路和安全运营，其中包括业界首个生成式人工智慧物联网安全助理。

根据最终用户，市场细分为银行、金融服务和保险（BFSI）、医疗保健、零售、IT 和电信、政府和国防、能源和公用事业等。在预计预测期内（2024-2032 年），银行、金融服务和保险 (BFSI) 将以显着的复合年增长率成长。在 BFSI 领域，生成式 AI 网路安全用于保护此类组织传输和接收的资料、打击诈欺并满足合规标准。此外，人工智慧解决方案正在透过自动化手段识别异常交易和内部人员来帮助金融机构，从而提高安全等级。领先的企业最近采用了生成式人工智慧网路安全来防范多层次的网路风险。人工智慧在 BFSI 中的使用是由高阶安全性、遵守治理协议和控制诈欺活动的需求所驱动。

为了更了解生成式人工智慧网路安全的市场采用情况，我们根据北美（美国、加拿大和北美其他地区）、欧洲（德国、法国、英国、西班牙、义大利和欧洲其他地区）、亚太地区（中国、日本、印度和亚太地区其他地区）和世界其他地区的全球影响力对市场进行了分析。 2023 年，北美将占据市场占有率的主导地位。背后的因素包括人工智慧在安全系统中的应用日益广泛、技术进步以及网路犯罪数量的增加。此外，目前对使用生成式人工智慧感兴趣的主要公司包括微软、CrowdStrike 和 Palo Alto Networks，它们都希望在威胁侦测中使用预测性人工智慧，并在威胁回应中使用人工智慧驱动的自动化。例如，2023 年 3 月 28 日，微软宣布推出 Microsoft Security Copilot，将新一代 AI 引入网路安全。 Security Copilot 汇集了 Microsoft 丰富的威胁情报和业界领先的专业知识，透过易于使用的 AI 助理增强安全专业人员的工作。由于数据和网路应用的快速扩张，以及企业扩大采用云端环境和混合网络，北美在人工智慧安全领域占据了很大的占有率。

该市场的主要参与者包括微软、亚马逊网路服务公司、SentinelOne、Fortinet 公司、NVIDIA 公司、CrowdStrike、Palo Alto Networks、IBM、Darktrace Holdings Limited 和思科系统公司。

目录

第1章 市场简介

• 市场定义
• 主要目的
• 相关利益者
• 限制事项

第2章 调查手法或前提条件

• 调查流程
• 调查手法
• 受访者简介

第3章 摘要整理

• 产业摘要
• 各市场区隔预测
  • 市场成长的强度
• 地区展望

第4章 市场动态

• 促进因素
• 机会
• 阻碍因素
• 趋势
• PESTEL分析
• 需求面分析
• 供给方面分析
  • 合併和收购
  • 投资Scenario
  • 产业考察:大Start-Ups企业及其独特策略

第5章 价格分析

• 各地区价格分析
• 价格的影响因素

第6章 全球生成式 AI 网路安全市场收益 , 2022-2032年

第7章 市场洞察:各部署

• 内部部署
• 云端基础
• 混合

第8章 市场洞察:各技术

• 生成对抗网路 (GAN)
• 变分自动编码器 (VAE)
• 强化学习（RL）
• 深度神经网路 (DNN)
• 自然语言处理 (NLP)
• 其他

第9章 市场洞察:各用途

• 网路安全
• 终端安全
• 云端保全
• 应用保全
• 其他

第10章 市场洞察:各终端用户

• 银行，金融服务，保险(BFSI)
• 医疗保健
• 零售
• IT及通讯
• 政府防卫
• 能源和公共事业
• 其他

第11章 市场洞察:各地区

• 北美
  • 美国
  • 加拿大
  • 其他北美地区
• 欧洲
  • 德国
  • 法国
  • 英国
  • 西班牙
  • 义大利
  • 其他欧洲地区
• 亚太地区
  • 中国
  • 日本
  • 印度
  • 其他亚太地区
• 全球其他地区

第12章 价值链分析

• 市场参与企业一览

第13章 竞争情形

• 竞争仪表板
• 竞争市场定位分析
• 波特的五力分析

第14章 企业简介

• Microsoft
  • Company Overview
  • Key Financials
  • SWOT Analysis
  • Product Portfolio
  • Recent Developments
• Amazon Web Services, Inc.
• SentinelOne
• Fortinet, Inc.
• NVIDIA Corporation
• CrowdStrike
• Palo Alto Networks
• IBM
• Darktrace Holdings Limited
• Cisco Systems, Inc.

第15章 缩写与前提条件

第16章 附录

Generative AI Cybersecurity means the use of generative artificial intelligence technologies to improve the cybersecurity framework. Generative AI is the use of machine learning including deep learning in creating content and data. In cybersecurity, this capability can be used to forecast likely security threats, recognize and counter abnormalities, and program responses to threats. Generative AI is a powerful tool that optimizes an organization's security posture by offering real-time, self-learning active protection that targets rapidly changing and complex forms of cyber threats based on the analysis of big data.

The Generative AI Cybersecurity Market is expected to grow with a significant CAGR of 21.5% during the forecast period (2024-2032). The increase in the level of cyberattacks including one performed by AI makes it crucial to have the means of proactively defending against new and previously unseen threats in real time. The shift of organizations towards introducing the zero-trust security model that incorporates the constant identification of users and devices has led to the desire for AI-based solutions that can make decisions in real-time. However, the rise in demand and funding for innovative technologies by enterprises and governments is promoting the adoption of AI and related solutions in the cybersecurity domain. For instance, on April 9, 2024, Microsoft announced an investment of USD 2.9 billion over the next two years to increase its hyperscale cloud computing and AI infrastructure in Japan. Also, it will expand its digital skilling programs to provide AI skills to more than 3 million people over the next three years, open its first Microsoft Research Asia lab in Japan, and deepen its cybersecurity collaboration with the Government of Japan.

Based on the deployment, the market is segmented into on-premise, cloud-based, and hybrid. The on-premise held a significant share of the market in 2023. The on-premise segment fuels the growth of generative AI cybersecurity as it provides greater control of data security and compliance with regulatory rules and standards for organizations. Some industries, such as government, healthcare, and the financial industry where specific data must be protected, are inclined to decide on on-premises AI solutions. This helps them to make specific purchases of artificial intelligence-based cybersecurity tools to fit their infrastructure. These solutions are suitable for those enterprise-level organizations, where businesses need to have customized and comprehensive control over their security.

Based on the technology, the market is segmented into Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), Reinforcement Learning (RL), Deep Neural Networks (DNNs), Natural Language Processing (NLP), and others. Generative Adversarial Networks (GANs) held a significant share of the market in 2023. With the increasing cybersecurity threats, GANs fill an important gap by copying possible attacks and creating oppositional samples that can be used to create strong defenses. In an aspect of vulnerability testing and threat simulation, they assist companies in exposing and simulating threats that may be real in the future. Business entities enhance threat information and enhance protection. In other words, through GANs, organizations shall be in a better position to address superior cyber threats hence enhancing organizational security status.

Based on the application, the market is segmented into network security, endpoint security, cloud security, application security, and others. Network security held a significant share of the market in 2023. Network Security aims at shielding computer platforms from unauthorized entry and control disruption. There are specialized AI tools for network security that run continuously sense any form of anomaly, and react to it automatically, thus ensuring security for big and open networks. Moreover, companies integrate artificial intelligence-based network security to help protect enterprise networks from emerging threats. A robust market for generative AI in this segment is driven by the growing IoT environments and clouds that require protection. For instance, on May 2, 2024, Fortinet (NASDAQ: FTNT), the global cybersecurity leader driving the convergence of networking and security, announced new updates to its generative AI (GenAI) portfolio to enhance both network and security operations, including the industry's first generative AI IoT security assistant.

Based on the end-user, the market is segmented into Banking, Financial Services, And Insurance (BFSI), Healthcare, Retail, IT & Telecom, Government and Defense, Energy and Utilities, and others. Banking, Financial Services, And Insurance (BFSI) is expected to grow with a significant CAGR in the forecast period (2024-2032). The BFSI segment uses generative AI cybersecurity to safeguard the data transmitted and received by such organizations, counter fraud, and meet compliance standards. Adding to this, AI solutions assist institutions in facilitating automated means of recognizing peculiar transactions, and insiders, and improving the security levels. The key corporations recently adopted generative AI cybersecurity for protection against layered cyber risks. The use of AI in BFSI is encouraged by the necessity of advanced security, conformity to governance protocols, and control against fraud activities.

For a better understanding of the market adoption of Generative AI Cybersecurity, the market is analyzed based on its worldwide presence in countries such as North America (U.S., Canada, and the Rest of North America), Europe (Germany, France, U.K., Spain, Italy, Rest of Europe), Asia-Pacific (China, Japan, India, Rest of Asia-Pacific), Rest of World. North America held a dominant share of the market in 2023. The higher usage of AI in security systems, rising technological advancements, and rising numbers of cybercrimes. Moreover, the major companies interested in using generative AI today are Microsoft, CrowdStrike, and Palo Alto Networks, all of which aim at using predictive AI in threat detection and AI-driven automation in responding to threats. For example, on March 28, 2023, Microsoft Corp. announced it is bringing the next generation of AI to cybersecurity with the launch of Microsoft Security Copilot, giving defenders a much-needed tool to quickly detect and respond to threats and better understand the threat landscape overall. Security Copilot will combine Microsoft's vast threat intelligence footprint with industry-leading expertise to augment the work of security professionals through an easy-to-use AI assistant. North America occupies a large share of AI security because data and network applications expand rapidly, and more enterprises adopt cloud environments and hybrid networks.

Some of the major players operating in the market include Microsoft; Amazon Web Services, Inc.; SentinelOne; Fortinet, Inc.; NVIDIA Corporation; CrowdStrike; Palo Alto Networks; IBM; Darktrace Holdings Limited; Cisco Systems, Inc.

TABLE OF CONTENTS

1.MARKET INTRODUCTION

• 1.1. Market Definitions
• 1.2. Main Objective
• 1.3. Stakeholders
• 1.4. Limitation

2.RESEARCH METHODOLOGY OR ASSUMPTION

• 2.1. Research Process of the Generative AI Cybersecurity Market
• 2.2. Research Methodology of the Generative AI Cybersecurity Market
• 2.3. Respondent Profile

3.EXECUTIVE SUMMARY

• 3.1. Industry Synopsis
• 3.2. Segmental Outlook
  • 3.2.1. Market Growth Intensity
• 3.3. Regional Outlook

4.MARKET DYNAMICS

• 4.1. Drivers
• 4.2. Opportunity
• 4.3. Restraints
• 4.4. Trends
• 4.5. PESTEL Analysis
• 4.6. Demand Side Analysis
• 4.7. Supply Side Analysis
  • 4.7.1. Merger & Acquisition
  • 4.7.2. Investment Scenario
  • 4.7.3. Industry Insights: Leading Startups and Their Unique Strategies

5.PRICING ANALYSIS

• 5.1. Regional Pricing Analysis
• 5.2. Price Influencing Factors

6.GLOBAL GENERATIVE AI CYBERSECURITY MARKET REVENUE (USD BN), 2022-2032F

7.MARKET INSIGHTS BY DEPLOYMENT

• 7.1. On-Premise
• 7.2. Cloud-Based
• 7.3. Hybrid

8.MARKET INSIGHTS BY TECHNOLOGY

• 8.1. Generative Adversarial Networks (GANs)
• 8.2. Variational Autoencoders (VAEs)
• 8.3. Reinforcement Learning (RL)
• 8.4. Deep Neural Networks (DNNs)
• 8.5. Natural Language Processing (NLP)
• 8.6. Others

9.MARKET INSIGHTS BY APPLICATION

• 9.1. Network Security
• 9.2. Endpoint Security
• 9.3. Cloud Security
• 9.4. Application Security
• 9.5. Others

10.MARKET INSIGHTS BY END-USER

• 10.1. Banking, Financial Services, And Insurance (BFSI)
• 10.2. Healthcare
• 10.3. Retail
• 10.4. IT & Telecom
• 10.5. Government and Defense
• 10.6. Energy and Utilities
• 10.7. Others

11.MARKET INSIGHTS BY REGION

• 11.1. North America
  • 11.1.1. U.S.
  • 11.1.2. Canada
  • 11.1.3. Rest of North America
• 11.2. Europe
  • 11.2.1. Germany
  • 11.2.2. France
  • 11.2.3. UK
  • 11.2.4. Spain
  • 11.2.5. Italy
  • 11.2.6. Rest of Europe
• 11.3. Asia-Pacific
  • 11.3.1. China
  • 11.3.2. Japan
  • 11.3.3. India
  • 11.3.4. Rest of APAC
• 11.4. Rest of the World

12.VALUE CHAIN ANALYSIS

• 12.1. List of Market Participants

13.COMPETITIVE LANDSCAPE

• 13.1. Competition Dashboard
• 13.2. Competitor Market Positioning Analysis
• 13.3. Porter Five Forces Analysis

14.COMPANY PROFILES

• 14.1. Microsoft
  • 14.1.1. Company Overview
  • 14.1.2. Key Financials
  • 14.1.3. SWOT Analysis
  • 14.1.4. Product Portfolio
  • 14.1.5. Recent Developments
• 14.2. Amazon Web Services, Inc.
• 14.3. SentinelOne
• 14.4. Fortinet, Inc.
• 14.5. NVIDIA Corporation
• 14.6. CrowdStrike
• 14.7. Palo Alto Networks
• 14.8. IBM
• 14.9. Darktrace Holdings Limited
• 14.10. Cisco Systems, Inc.

15.ACRONYMS & ASSUMPTION

16.ANNEXURE