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1662660

2030 年人工智慧網路安全市場預測：按類型、組件、技術、應用、最終用戶和地區進行的全球分析

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個工作天內

價格

根據 Stratistics MRC 的數據，全球生成式人工智慧網路安全市場預計在 2024 年將達到 71 億美元，到 2030 年將達到 437 億美元，預測期內的複合年成長率為 35.4%。

生成式人工智慧網路安全是利用人工智慧保護數位資產、網路和系統免受網路威脅的實踐。這涉及使用可以產生解決方案、策略和對策的人工智慧模型來檢測、分析和應對網路安全風險。這些模型通常由深度學習和自然語言處理驅動，可識別大量資料中的模式，模擬攻擊場景並即時預測潛在漏洞。生成式人工智慧可以自動執行異常偵測、威脅建模和風險評估等任務，以更快地識別潛在的違規和攻擊。

網路攻擊的頻率和複雜度不斷增加

網路威脅情勢不斷演變，攻擊變得更加頻繁、複雜和具有影響力。網路犯罪分子正在使用零時差漏洞、勒索軟體和網路釣魚攻擊等先進技術來滲透網路、竊取資料並破壞關鍵業務。傳統的安全措施通常不足以偵測和應對這些不斷演變的威脅。生成式人工智慧透過其先進的威脅偵測功能提供了強大的解決方案，使組織能夠主動識別和減輕這些進階攻擊，從而推動市場成長。

資料隱私問題

在網路安全中使用生成式人工智慧需要收集和分析大量資料，包括有關個人和組織的敏感資訊。這引發了人們對資料隱私和安全的嚴重擔憂。敏感資料處理不當可能會產生嚴重後果，包括聲譽損害、法律責任和財務損失。組織需要仔細考慮資料隱私法規並實施強力的資料保護措施，以確保在網路安全中合乎道德和負責任地使用人工智慧，這阻礙了市場的成長。

自動化響應並改善安全態勢

生成式人工智慧使組織能夠自動化網路安全業務的各個方面，包括威脅搜尋、事件回應和漏洞管理。透過自動執行這些任務，公司可以釋放其安全團隊，使其專注於更具策略性的計劃，例如威脅情報分析和安全策略制定。此外，人工智慧可以持續分析大量資料以識別模式和異常，為組織的安全態勢提供寶貴的見解。這使組織能夠主動識別和解決漏洞，從而顯著降低其整體風險敞口。

實施複雜性

實施和維護人工智慧驅動的網路安全解決方案可能很複雜且具有挑戰性。有效地整合和管理這些解決方案需要在人工智慧和網路安全方面具有專業知識的熟練專家。此外，將人工智慧工具與現有的安全基礎設施結合可能非常複雜且耗時。此外，人工智慧技術的快速發展需要不斷學習和適應，迫使企業投資安全團隊的持續培訓和發展，阻礙了市場的發展。

COVID-19 的影響

新冠疫情大大加速了遠距工作數位化的轉變，擴大了網路犯罪分子的攻擊面。遠端工作環境的突然激增產生了新的漏洞並增加了網路攻擊的風險。這增加了對強大的網路安全解決方案的需求，並推動了對基於人工智慧的安全技術的需求。此外，疫情凸顯了業務永續營運連續性和彈性的重要性，促使企業在網路安全措施上投入更多資金，以確保在出現意外中斷時業務不會中斷。

威脅偵測和分析部分預計將成為預測期內最大的部分

威脅偵測和分析領域預計將在預測期內佔據最大的市場佔有率，因為識別預示潛在網路威脅的模式和異常可以增強主動安全措施。這些模型還可以預測攻擊，幫助組織預測攻擊的發生。這種從被動安全到主動安全轉變增強了您的防禦能力。有效的威脅偵測系統使用人工智慧來對抗人工智慧產生的威脅，並且可以自主分析惡意內容並即時推薦或執行緩解策略。

預計預測期內，生成對抗網路部分將以最高的複合年成長率成長。

由於先進的威脅模擬、改進的網路安全措施和增強的異常檢測，生成對抗網路部分預計將在預測期內實現最高成長率。 GAN 能夠產生逼真但無害的異常，從而增強入侵偵測系統。另一方面，GAN 可用於高級網路釣魚和深度造假攻擊，以創建令人信服的網路釣魚電子郵件、音訊和影片。它們還能夠產生逃避傳統檢測方法的惡意軟體，從而進一步推動市場成長。

比最大的地區

由於領先的人工智慧研究機構、高科技公司和網路安全新興企業，預計北美將在預測期內佔據最大的市場佔有率。企業和政府機構擴大採用生成式人工智慧等先進技術來進行威脅偵測和自動回應。該地區正面臨日益嚴重的網路威脅，例如勒索軟體、網路釣魚和進階持續性威脅，推動對生成性人工智慧解決方案的需求以促進區域市場的發展。

複合年成長率最高的地區

由於中國和韓國正在大力投資人工智慧研發，尤其是網路安全的生成人工智慧，預計亞太地區將在預測期內呈現最高的複合年成長率。政府和企業都優先考慮強大的網路防禦來保護其關鍵資料。更嚴格的資料保護法，例如中國的《網路安全法》和印度的《數位個人資料保護法》，正在鼓勵企業採用先進的安全措施。亞太地區（尤其是印度和東南亞）快速成長的電子商務和金融科技領域需要先進的人工智慧網路安全解決方案來打擊詐欺和保護交易。

提供免費客製化

訂閱此報告的客戶可享有以下免費自訂選項之一：

  • 公司簡介
    • 對其他市場參與企業（最多 3 家公司）進行全面分析
    • 主要企業的 SWOT 分析（最多 3 家公司）
  • 地理細分
    • 根據客戶興趣對主要國家進行市場估計、預測和複合年成長率（註：基於可行性檢查）
  • 競爭性基準化分析
    • 根據產品系列、地理分佈和策略聯盟對主要企業基準化分析

目錄

第1章執行摘要

第 2 章 前言

  • 概述
  • 相關利益者
  • 研究範圍
  • 調查方法
    • 資料探勘
    • 資料分析
    • 資料檢驗
    • 研究途徑
  • 研究資訊來源
    • 主要研究資訊來源
    • 二手研究資料資訊來源
    • 先決條件

第3章 市場走勢分析

  • 介紹
  • 驅動程式
  • 限制因素
  • 機會
  • 威脅
  • 技術分析
  • 應用分析
  • 最終用戶分析
  • 新興市場
  • COVID-19 的影響

第 4 章 波特五力分析

  • 供應商的議價能力
  • 買家的議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭對手之間的競爭

5. 全球人工智慧網路安全市場類型

  • 介紹
  • 威脅偵測與分析
  • 對抗性防禦
  • 內部威脅偵測
  • 網路安全
  • 其他

6. 全球人工智慧網路安全市場（按組件分類）

  • 介紹
  • 硬體
    • AI 加速器和邊緣設備
    • 伺服器和儲存系統
  • 軟體
    • 安全平台
    • 預測分析工具
    • 自動事件回應系統
  • 服務
    • 專業服務
    • 託管服務
  • 其他

7. 全球人工智慧網路安全市場（按技術）

  • 介紹
  • 生成對抗網路
  • 變分自動編碼器
  • 強化學習
  • 深度神經網路
  • 自然語言處理
  • 其他

8. 全球人工智慧網路安全市場（按應用）

  • 介紹
  • 零日威脅偵測
  • 流量分析
  • 識別敏感資料
  • 網路釣魚和惡意軟體檢測
  • 異常檢測
  • 入侵偵測和預防系統
  • 事件分析與取證
  • 加密流量分析
  • 行為分析和特權存取監控
  • 自動威脅回應
  • 其他

9. 全球人工智慧網路安全市場（按最終用戶分類）

  • 介紹
  • 銀行、金融服務和保險
  • 醫療保健和生命科學
  • 政府和國防
  • 零售與電子商務
  • 資訊科技（IT）和通訊
  • 能源公共產業
  • 其他

第 10 章 全球人工智慧網路安全市場（按地區）

  • 介紹
  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 歐洲其他地區
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 其他亞太地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地區
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲地區

第11章 重大進展

  • 協議、夥伴關係、合作和合資企業
  • 收購與合併
  • 新產品發布
  • 業務擴展
  • 其他關鍵策略

第12章 公司概況

  • 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.