生成式 AI 網路安全市場:現狀分析與預測(2024年～2032年)

預計預測期內（2024-2032 年），生成式 AI 網路安全市場將以 21.5% 的顯著複合年增長率成長。網路攻擊（包括涉及人工智慧的攻擊）的增多使得採取主動手段即時防禦新的和以前從未見過的威脅變得至關重要。企業逐漸採用零信任安全模型，該模型包含對使用者和設備的持續識別，這促使人們渴望能夠即時做出決策的基於人工智慧的解決方案。然而，企業和政府對創新技術的需求和資金不斷增加，刺激了網路安全領域採用人工智慧和相關解決方案。例如，2024年4月9日，微軟宣布將在未來兩年內投資29億美元擴展其在日本的超大規模雲端運算和AI基礎設施。它還將擴大其數位技能計劃，在未來三年內為 300 多萬人提供人工智慧技能，在日本開設首個微軟亞洲研究院，並深化與日本政府的網路安全合作。

依部署情況，市場分為內部部署、雲端和混合式部署。到 2023 年，本地部署將佔據市場的很大佔有率。內部部署將促進生成式人工智慧網路安全的發展，因為它為組織提供了對資料安全的更大控制以及對監管規則和標準的遵守。一些需要保護某些資料的行業，例如政府、醫療保健和金融，傾向於採用內部部署 AI 解決方案。這使您可以購買專門針對您的基礎設施的基於人工智慧的網路安全工具。這些解決方案適用於需要客製化和全面控制安全的企業級組織。

技術分為生成對抗網路 (GAN)、變分自動編碼器 (VAE)、強化學習 (RL)、深度神經網路 (DNN)、自然語言處理 (NLP) 等。生成對抗網路 (GAN) 將在 2023 年佔據大部分市場佔有率。隨著網路安全威脅的日益加劇，GAN 透過創建可用於複製可能的攻擊並建立強大防禦的對抗性範例來填補關鍵空白。在漏洞測試和威脅模擬方面，GAN 可以透過揭示和模擬未來可能發生的現實威脅來幫助企業。企業將提高其威脅情報並加強防禦能力。換句話說，透過 GAN，組織可以對抗更高級的網路威脅並改善其組織的安全態勢。

根據應用，市場細分為網路安全、端點安全、雲端安全、應用安全和其他。 2023年，網路安全將佔據市場的很大佔有率。網路安全涉及保護電腦平台免受未經授權的入侵和乾擾其控制。專門用於網路安全的人工智慧工具會持續偵測任何形式的異常並自動回應。此外，企業正在整合以人工智慧為基礎的網路安全，以協助保護企業網路免受新興威脅。該領域生成式人工智慧市場的強勁成長是由需要保護的物聯網環境和雲端的興起所推動的。例如，2024 年 5 月 2 日，推動網路和安全融合的全球網路安全領導者 Fortinet（納斯達克股票代碼：FTNT）宣布對其生成式人工智慧（GenAI）產品組合進行新的更新，以增強網路和安全運營，其中包括業界首個生成式人工智慧物聯網安全助理。

根據最終用戶，市場細分為銀行、金融服務和保險（BFSI）、醫療保健、零售、IT 和電信、政府和國防、能源和公用事業等。在預計預測期內（2024-2032 年），銀行、金融服務和保險 (BFSI) 將以顯著的複合年增長率成長。在 BFSI 領域，生成式 AI 網路安全用於保護此類組織傳輸和接收的資料、打擊詐欺並滿足合規標準。此外，人工智慧解決方案正在透過自動化手段識別異常交易和內部人員來幫助金融機構，從而提高安全等級。領先的企業最近採用了生成式人工智慧網路安全來防範多層次的網路風險。人工智慧在 BFSI 中的使用是由高階安全性、遵守治理協議和控制詐欺活動的需求所驅動。

為了更了解生成式人工智慧網路安全的市場採用情況，我們根據北美（美國、加拿大和北美其他地區）、歐洲（德國、法國、英國、西班牙、義大利和歐洲其他地區）、亞太地區（中國、日本、印度和亞太地區其他地區）和世界其他地區的全球影響力對市場進行了分析。 2023 年，北美將佔據市場佔有率的主導地位。背後的因素包括人工智慧在安全系統中的應用日益廣泛、技術進步以及網路犯罪數量的增加。此外，目前對使用生成式人工智慧感興趣的主要公司包括微軟、CrowdStrike 和 Palo Alto Networks，它們都希望在威脅偵測中使用預測性人工智慧，並在威脅回應中使用人工智慧驅動的自動化。例如，2023 年 3 月 28 日，微軟宣布推出 Microsoft Security Copilot，將新一代 AI 引入網路安全。 Security Copilot 匯集了 Microsoft 豐富的威脅情報和業界領先的專業知識，透過易於使用的 AI 助理增強安全專業人員的工作。由於數據和網路應用的快速擴張，以及企業擴大採用雲端環境和混合網絡，北美在人工智慧安全領域佔據了很大的佔有率。

該市場的主要參與者包括微軟、亞馬遜網路服務公司、SentinelOne、Fortinet 公司、NVIDIA 公司、CrowdStrike、Palo Alto Networks、IBM、Darktrace Holdings Limited 和思科系統公司。

目錄

第1章 市場簡介

• 市場定義
• 主要目的
• 相關利益者
• 限制事項

第2章 調查手法或前提條件

• 調查流程
• 調查手法
• 受訪者簡介

第3章 摘要整理

• 產業摘要
• 各市場區隔預測
  • 市場成長的強度
• 地區展望

第4章 市場動態

• 促進因素
• 機會
• 阻礙因素
• 趨勢
• PESTEL分析
• 需求面分析
• 供給方面分析
  • 合併和收購
  • 投資Scenario
  • 產業考察:大Start-Ups企業及其獨特策略

第5章 價格分析

• 各地區價格分析
• 價格的影響因素

第6章 全球生成式 AI 網路安全市場收益 , 2022-2032年

第7章 市場洞察:各部署

• 內部部署
• 雲端基礎
• 混合

第8章 市場洞察:各技術

• 生成對抗網路 (GAN)
• 變分自動編碼器 (VAE)
• 強化學習（RL）
• 深度神經網路 (DNN)
• 自然語言處理 (NLP)
• 其他

第9章 市場洞察:各用途

• 網路安全
• 終端安全
• 雲端保全
• 應用保全
• 其他

第10章 市場洞察:各終端用戶

• 銀行，金融服務，保險(BFSI)
• 醫療保健
• 零售
• IT及通訊
• 政府防衛
• 能源和公共事業
• 其他

第11章 市場洞察:各地區

• 北美
  • 美國
  • 加拿大
  • 其他北美地區
• 歐洲
  • 德國
  • 法國
  • 英國
  • 西班牙
  • 義大利
  • 其他歐洲地區
• 亞太地區
  • 中國
  • 日本
  • 印度
  • 其他亞太地區
• 全球其他地區

第12章 價值鏈分析

• 市場參與企業一覽

第13章 競爭情形

• 競爭儀表板
• 競爭市場定位分析
• 波特的五力分析

第14章 企業簡介

• 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 縮寫與前提條件

第16章 附錄

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