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市場調查報告書
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1904730

網路安全領域人工智慧市場預測至2032年：按組件、安全類型、部署類型、組織規模、最終用戶和地區分類的全球分析

AI in Cybersecurity Market Forecasts to 2032 - Global Analysis By Component (Solutions and Services), Security Type, Deployment Mode, Organization Size, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的一項研究，預計到 2025 年，全球網路安全人工智慧 (AI) 市場規模將達到 307.8 億美元，到 2032 年將達到 1451.7 億美元，預測期內複合年成長率為 24.8%。

網路安全領域的人工智慧 (AI) 指的是應用機器學習、深度學習和數據分析技術來保護數位系統、網路和資料免受網路威脅。 AI 使安全解決方案能夠自動偵測異常、識別惡意軟體、預測潛在攻擊並即時回應安全事件。透過分析大量安全數據，AI 可以提升威脅情報能力、減少誤報並提高決策準確性。它支援行為分析、自動威脅搜尋和自適應安全控制等預防性防禦機制，幫助組織增強其網路韌性，抵禦不斷演變且日益複雜的網路攻擊。

日益複雜的網路攻擊

企業面臨日益複雜的威脅，包括進階持續性攻擊、勒索軟體和人工智慧驅動的入侵。傳統的防禦機制已不足以應對，因此對智慧自適應安全解決方案的需求日益成長。人工智慧平台能夠即時偵測、預測分析並自動回應不斷演變的威脅。各國政府和企業都在大力投資人工智慧驅動的防禦框架，以增強自身抵禦能力。網路攻擊手段的日益複雜化正在加速市場成長。

網路安全專業人員短缺

高階網路安全專業人員的短缺仍然是人工智慧驅動型網路安全技術普及應用的一大障礙。企業難以招募和留住能夠管理人工智慧驅動型防禦系統的人才。這種技能缺口導致企業更加依賴外部顧問，並減緩了內部創新。培訓和認證項目需要大量投資，增加了營運成本。小規模的組織在組建專門的人工智慧安全團隊方面面臨更大的挑戰。儘管市場需求旺盛，但熟練專業人員的短缺阻礙了人工智慧在網路安全領域的廣泛應用。

人工智慧驅動的自動化工具的興起

人工智慧驅動的自動化工具的擴展正在為網路安全市場創造巨大的機會。自動化平台能夠減少人工干預，提高威脅偵測和緩解的效率。人工智慧驅動的工具支援預測分析、異常檢測和自適應防禦策略。企業正在加速將自動化融入其工作流程，以增強韌性並降低成本。與雲端生態系和物聯網平台的整合進一步推動了自動化技術的應用。人工智慧驅動的自動化工具的擴展正在為網路安全領域的人工智慧市場帶來顯著的成長機會。

資料隱私和監管合規風險

資料隱私和監管合規風險正在阻礙人工智慧在網路安全領域的應用。各國政府對資料處理、監控和報告的要求日益嚴格。企業因合規審核和消費者保護要求而面臨不斷上漲的成本。頻繁的政策變化也為長期投資計畫帶來了不確定性。與大型企業相比，小規模企業更難適應複雜的法規結構。資料隱私和合規風險正在抑制市場信心，並威脅永續成長。

新冠疫情的感染疾病：

新冠疫情加速了網路安全領域對人工智慧的需求，因為企業紛紛轉向遠距辦公和數位化優先策略。儘管預算限制延緩了一些大規模部署，但針對遠端員工和雲端平台的網路攻擊激增推動了人工智慧的普及。疫情期間，企業利用人工智慧驅動的防禦系統來應對網路釣魚、勒索軟體和內部威脅。這場危機凸顯了建構具有韌性的數位生態系統和自動化防禦框架的重要性。總而言之，新冠疫情強化了人工智慧在網路安全領域的重要性，使其成為支持企業韌性的策略要素。

預計在預測期內，網路安全領域將佔據最大的市場佔有率。

在預測期內，網路安全領域預計將佔據最大的市場佔有率，這主要得益於企業對即時監控、入侵偵測和自適應防禦等技術在網路領域的應用需求。網路安全平台能夠幫助企業保護關鍵基礎設施和敏感資料。企業正依靠人工智慧驅動的系統來增強自身抵禦不斷演變的網路威脅的能力。全球範圍內日益成長的數位化應用正在推動對可擴展網路安全的需求。與雲端和物聯網生態系統的整合將進一步促進這項需求。

預計在預測期內，醫療保健和生命科學領域將實現最高的複合年成長率。

預計在預測期內，醫療保健和生命科學領域將實現最高成長率，這主要得益於對安全管理患者記錄和醫學研究數據的需求不斷成長。醫療機構需要先進的人工智慧驅動框架來遵守諸如 HIPAA 等嚴格法規。基因組學、遠端醫療和臨床試驗領域的巨量資料平台正在推動人工智慧安全解決方案的普及。對數位醫療領域的投資不斷增加，也強化了對強大防禦系統的需求。人工智慧驅動的分析技術在醫療保健領域的應用，進一步提升了對安全基礎設施的需求。隨著醫療保健和生命科學領域數位化的加速，人工智慧在網路安全領域的應用正在推動市場成長。

佔比最大的地區：

由於北美地區擁有先進的IT基礎設施、健全的法規結構以及對人工智慧驅動型網路安全解決方案的早期應用，預計該地區將在預測期內佔據最大的市場佔有率。主要技術提供者的存在和成熟的數位生態系統為大規模應用提供了支援。監管機構對合規性和隱私的關注正在推動對強大的AI防禦平台的投資。北美企業在其數據驅動型營運中優先考慮韌性和客戶信任。對安全雲和物聯網生態系統的高需求進一步推動了應用。

複合年成長率最高的地區：

預計亞太地區在預測期內將實現最高的複合年成長率，這主要得益於新興經濟體快速的工業化進程、不斷擴展的數位生態系統以及政府主導的網路安全措施。中國、印度和東南亞等國家正大力投資人工智慧驅動的國防基礎建設。對電子商務、金融科技和醫療保健創新日益成長的需求正在推動先進人工智慧安全解決方案的普及。當地企業正在採用經濟高效的平台來滿足其不斷成長的數位化需求。不斷擴展的數位生態系統正在強化人工智慧在企業現代化進程中的作用。

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目錄

第1章執行摘要

第2章 前言

  • 摘要
  • 相關利益者
  • 調查範圍
  • 調查方法
  • 研究材料

第3章 市場趨勢分析

  • 促進要素
  • 抑制因素
  • 機會
  • 威脅
  • 終端用戶分析
  • 新興市場
  • 新冠疫情的感染疾病

第4章 波特五力分析

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

5. 全球網路安全領域人工智慧市場（按組件分類）

  • 解決方案
    • 威脅情報與分析
    • 身分和存取管理 (IAM)
    • 安全資訊和事件管理 (SIEM)
    • 擴展檢測和響應 (XDR)
  • 服務
    • 諮詢顧問
    • 整合與實施
    • 資安管理服務
    • 培訓、支援和維護

6. 全球網路安全領域人工智慧市場（依安全類型分類）

  • 網路安全
  • 應用程式安全
  • 端點安全
  • 雲端安全
  • 資料和身分安全
  • 其他安全類型

7. 全球網路安全人工智慧市場按部署類型分類

  • 本地部署
  • 基於雲端的

第8章：按組織規模分類的全球網路安全人工智慧市場

  • 中小企業
  • 主要企業

9. 全球網路安全領域人工智慧市場（按最終用戶分類）

  • 資訊科技與通訊
  • 銀行、金融服務和保險（BFSI）
  • 醫療保健和生命科學
  • 零售與電子商務
  • 製造業和工業
  • 政府/公共部門
  • 能源與公共產業
  • 其他最終用戶

第10章：全球網路安全人工智慧市場區域分類

  • 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
    • 其他歐洲國家
  • 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
    • 其他南美國家
  • 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
  • 併購
  • 新產品發布
  • 業務拓展
  • 其他關鍵策略

第12章：企業概況

  • IBM Corporation
  • Microsoft Corporation
  • Amazon Web Services, Inc.
  • Google LLC
  • Cisco Systems, Inc.
  • Palo Alto Networks, Inc.
  • Fortinet, Inc.
  • Check Point Software Technologies Ltd.
  • CrowdStrike Holdings, Inc.
  • Darktrace Holdings Limited
  • FireEye, Inc.（Trellix）
  • Splunk Inc.
  • Rapid7, Inc.
  • SentinelOne, Inc.
  • Trend Micro Incorporated
Product Code: SMRC33010

According to Stratistics MRC, the Global AI in Cybersecurity Market is accounted for $30.78 billion in 2025 and is expected to reach $145.17 billion by 2032 growing at a CAGR of 24.8% during the forecast period. Artificial Intelligence (AI) in cybersecurity refers to the application of machine learning, deep learning, and data analytics techniques to protect digital systems, networks, and data from cyber threats. AI enables security solutions to automatically detect anomalies, identify malware, predict potential attacks, and respond to incidents in real time. By analyzing large volumes of security data, AI improves threat intelligence, reduces false positives, and enhances decision-making accuracy. It supports proactive defense mechanisms such as behavioral analysis, automated threat hunting, and adaptive security controls, helping organizations strengthen their cyber resilience against evolving and sophisticated cyberattacks.

Market Dynamics:

Driver:

Rising sophistication of cyberattacks

Enterprises face increasingly complex threats such as advanced persistent attacks, ransomware, and AI-driven intrusions. Traditional defense mechanisms are insufficient, driving demand for intelligent, adaptive security solutions. AI-powered platforms enable real-time detection, predictive analytics, and automated response to evolving threats. Governments and enterprises are investing heavily in AI-driven defense frameworks to strengthen resilience. Rising sophistication of cyberattacks is propelling growth in the market.

Restraint:

Shortage of skilled cybersecurity professionals

The shortage of skilled cybersecurity professionals remains a significant restraint for AI in cybersecurity adoption. Enterprises struggle to recruit and retain talent capable of managing AI-driven defense systems. This skills gap increases reliance on external consultants and slows internal innovation. Training and certification programs require substantial investment, adding to operational costs. Smaller organizations face greater challenges in building dedicated AI security teams. Shortage of skilled professionals is restraining widespread adoption of AI in cybersecurity despite strong demand.

Opportunity:

Expansion of AI-driven automation tools

Expansion of AI-driven automation tools is creating strong opportunities for the cybersecurity market. Automated platforms reduce manual intervention and improve efficiency in detecting and mitigating threats. AI-driven tools enable predictive analytics, anomaly detection, and adaptive defense strategies. Enterprises are increasingly embedding automation into workflows to strengthen resilience and reduce costs. Integration with cloud ecosystems and IoT platforms further amplifies adoption. Expansion of AI-driven automation tools is fostering significant growth opportunities in the AI in cybersecurity market.

Threat:

Data privacy and regulatory compliance risks

Data privacy and regulatory compliance risks are slowing adoption of AI in cybersecurity. Governments are imposing stricter mandates on data handling, monitoring, and reporting. Enterprises face rising costs due to compliance audits and consumer protection requirements. Frequent policy changes create uncertainty for long-term investment planning. Smaller organizations struggle to adapt to complex regulatory frameworks compared to larger players. Data privacy and compliance risks are restraining confidence and threatening consistent growth in the market.

Covid-19 Impact:

The Covid-19 pandemic accelerated demand for AI in cybersecurity as enterprises shifted to remote work and digital-first strategies. On one hand, budget constraints delayed some large-scale deployments. On the other hand, surging cyberattacks targeting remote employees and cloud platforms boosted adoption. Enterprises leveraged AI-driven defense systems to manage phishing, ransomware, and insider threats during the pandemic. The crisis reinforced the importance of resilient digital ecosystems and automated defense frameworks. Overall, Covid-19 boosted awareness of AI in cybersecurity as a strategic enabler of enterprise resilience.

The network security segment is expected to be the largest during the forecast period

The network security segment is expected to account for the largest market share during the forecast period driven by demand for real-time monitoring, intrusion detection, and adaptive defense across enterprise networks. Network security platforms enable organizations to safeguard critical infrastructure and sensitive data. Enterprises rely on AI-driven systems to strengthen resilience against evolving cyber threats. Demand for scalable network security is rising as digital adoption expands globally. Integration with cloud and IoT ecosystems further strengthens adoption.

The healthcare & life sciences segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the healthcare & life sciences segment is predicted to witness the highest growth rate supported by rising demand for secure management of patient records and medical research data. Healthcare organizations require advanced AI-driven frameworks to comply with strict regulations such as HIPAA. Big data platforms in genomics, telemedicine, and clinical trials are driving adoption of AI security solutions. Rising investment in digital health initiatives is reinforcing demand for robust defense systems. Integration of AI-driven analytics in healthcare further amplifies the need for secure infrastructures. As healthcare and life sciences accelerate digital adoption AI in cybersecurity is propelling growth in the market.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share driven by advanced IT infrastructure strong regulatory frameworks and early adoption of AI-driven cybersecurity solutions. The presence of leading technology providers and mature digital ecosystems supports large-scale deployments. Regulatory emphasis on compliance and privacy drives investment in robust AI defense platforms. Enterprises in North America prioritize resilience and customer trust in data-driven operations. High demand for secure cloud and IoT ecosystems further strengthens adoption.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR fueled by rapid industrialization expanding digital ecosystems and government-led cybersecurity initiatives across emerging economies. Countries such as China, India, and Southeast Asia are investing heavily in AI-driven defense infrastructures. Rising demand for e-commerce, fintech, and healthcare innovation strengthens adoption of advanced AI security solutions. Local enterprises are deploying cost-effective platforms to meet growing digital needs. Expanding digital ecosystems are reinforcing the role of AI in enterprise modernization.

Key players in the market

Some of the key players in AI in Cybersecurity Market include IBM Corporation, Microsoft Corporation, Amazon Web Services, Inc., Google LLC, Cisco Systems, Inc., Palo Alto Networks, Inc., Fortinet, Inc., Check Point Software Technologies Ltd., CrowdStrike Holdings, Inc., Darktrace Holdings Limited, FireEye, Inc. (Trellix), Splunk Inc., Rapid7, Inc., SentinelOne, Inc. and Trend Micro Incorporated.

Key Developments:

In June 2024, Google announced a strategic partnership with Wiz to integrate its cloud security posture management (CSPM) technology directly into Google's security operations platform. This collaboration aims to provide customers with a unified view of risks and AI-powered remediation across their cloud environments.

In November 2023, AWS and Splunk announced a strategic partnership to co-develop AI and cybersecurity solutions, integrating Splunk's security analytics with AWS's AI services like Amazon Bedrock. This collaboration aims to help enterprises better detect and respond to threats using generative AI.

Components Covered:

  • Solutions
  • Services

Security Types Covered:

  • Network Security
  • Application Security
  • Endpoint Security
  • Cloud Security
  • Data & Identity Security
  • Other Security Types

Deployment Modes Covered:

  • On-Premise
  • Cloud-Based

Organization Sizes Covered:

  • Small & Medium Enterprises (SMEs)
  • Large Enterprises

End Users Covered:

  • Information Technology & Telecom
  • Banking, Financial Services & Insurance (BFSI)
  • Healthcare & Life Sciences
  • Retail & E-commerce
  • Manufacturing & Industrial
  • Government & Public Sector
  • 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 2024, 2025, 2026, 2028, and 2032
  • 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 End User Analysis
  • 3.7 Emerging Markets
  • 3.8 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 AI in Cybersecurity Market, By Component

  • 5.1 Introduction
  • 5.2 Solutions
    • 5.2.1 Threat Intelligence & Analytics
    • 5.2.2 Identity & Access Management (IAM)
    • 5.2.3 Security Information & Event Management (SIEM)
    • 5.2.4 Extended Detection & Response (XDR)
  • 5.3 Services
    • 5.3.1 Consulting & Advisory
    • 5.3.2 Integration & Deployment
    • 5.3.3 Managed Security Services
    • 5.3.4 Training, Support & Maintenance

6 Global AI in Cybersecurity Market, By Security Type

  • 6.1 Introduction
  • 6.2 Network Security
  • 6.3 Application Security
  • 6.4 Endpoint Security
  • 6.5 Cloud Security
  • 6.6 Data & Identity Security
  • 6.7 Other Security Types

7 Global AI in Cybersecurity Market, By Deployment Mode

  • 7.1 Introduction
  • 7.2 On-Premise
  • 7.3 Cloud-Based

8 Global AI in Cybersecurity Market, By Organization Size

  • 8.1 Introduction
  • 8.2 Small & Medium Enterprises (SMEs)
  • 8.3 Large Enterprises

9 Global AI in Cybersecurity Market, By End User

  • 9.1 Introduction
  • 9.2 Information Technology & Telecom
  • 9.3 Banking, Financial Services & Insurance (BFSI)
  • 9.4 Healthcare & Life Sciences
  • 9.5 Retail & E-commerce
  • 9.6 Manufacturing & Industrial
  • 9.7 Government & Public Sector
  • 9.8 Energy & Utilities
  • 9.9 Other End Users

10 Global AI in 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 IBM Corporation
  • 12.2 Microsoft Corporation
  • 12.3 Amazon Web Services, Inc.
  • 12.4 Google LLC
  • 12.5 Cisco Systems, Inc.
  • 12.6 Palo Alto Networks, Inc.
  • 12.7 Fortinet, Inc.
  • 12.8 Check Point Software Technologies Ltd.
  • 12.9 CrowdStrike Holdings, Inc.
  • 12.10 Darktrace Holdings Limited
  • 12.11 FireEye, Inc. (Trellix)
  • 12.12 Splunk Inc.
  • 12.13 Rapid7, Inc.
  • 12.14 SentinelOne, Inc.
  • 12.15 Trend Micro Incorporated

List of Tables

  • Table 1 Global AI in Cybersecurity Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global AI in Cybersecurity Market Outlook, By Component (2024-2032) ($MN)
  • Table 3 Global AI in Cybersecurity Market Outlook, By Solutions (2024-2032) ($MN)
  • Table 4 Global AI in Cybersecurity Market Outlook, By Threat Intelligence & Analytics (2024-2032) ($MN)
  • Table 5 Global AI in Cybersecurity Market Outlook, By Identity & Access Management (IAM) (2024-2032) ($MN)
  • Table 6 Global AI in Cybersecurity Market Outlook, By Security Information & Event Management (SIEM) (2024-2032) ($MN)
  • Table 7 Global AI in Cybersecurity Market Outlook, By Extended Detection & Response (XDR) (2024-2032) ($MN)
  • Table 8 Global AI in Cybersecurity Market Outlook, By Services (2024-2032) ($MN)
  • Table 9 Global AI in Cybersecurity Market Outlook, By Consulting & Advisory (2024-2032) ($MN)
  • Table 10 Global AI in Cybersecurity Market Outlook, By Integration & Deployment (2024-2032) ($MN)
  • Table 11 Global AI in Cybersecurity Market Outlook, By Managed Security Services (2024-2032) ($MN)
  • Table 12 Global AI in Cybersecurity Market Outlook, By Training, Support & Maintenance (2024-2032) ($MN)
  • Table 13 Global AI in Cybersecurity Market Outlook, By Security Type (2024-2032) ($MN)
  • Table 14 Global AI in Cybersecurity Market Outlook, By Network Security (2024-2032) ($MN)
  • Table 15 Global AI in Cybersecurity Market Outlook, By Application Security (2024-2032) ($MN)
  • Table 16 Global AI in Cybersecurity Market Outlook, By Endpoint Security (2024-2032) ($MN)
  • Table 17 Global AI in Cybersecurity Market Outlook, By Cloud Security (2024-2032) ($MN)
  • Table 18 Global AI in Cybersecurity Market Outlook, By Data & Identity Security (2024-2032) ($MN)
  • Table 19 Global AI in Cybersecurity Market Outlook, By Other Security Types (2024-2032) ($MN)
  • Table 20 Global AI in Cybersecurity Market Outlook, By Deployment Mode (2024-2032) ($MN)
  • Table 21 Global AI in Cybersecurity Market Outlook, By On-Premise (2024-2032) ($MN)
  • Table 22 Global AI in Cybersecurity Market Outlook, By Cloud-Based (2024-2032) ($MN)
  • Table 23 Global AI in Cybersecurity Market Outlook, By Organization Size (2024-2032) ($MN)
  • Table 24 Global AI in Cybersecurity Market Outlook, By Small & Medium Enterprises (SMEs) (2024-2032) ($MN)
  • Table 25 Global AI in Cybersecurity Market Outlook, By Large Enterprises (2024-2032) ($MN)
  • Table 26 Global AI in Cybersecurity Market Outlook, By End User (2024-2032) ($MN)
  • Table 27 Global AI in Cybersecurity Market Outlook, By Information Technology & Telecom (2024-2032) ($MN)
  • Table 28 Global AI in Cybersecurity Market Outlook, By Banking, Financial Services & Insurance (BFSI) (2024-2032) ($MN)
  • Table 29 Global AI in Cybersecurity Market Outlook, By Healthcare & Life Sciences (2024-2032) ($MN)
  • Table 30 Global AI in Cybersecurity Market Outlook, By Retail & E-commerce (2024-2032) ($MN)
  • Table 31 Global AI in Cybersecurity Market Outlook, By Manufacturing & Industrial (2024-2032) ($MN)
  • Table 32 Global AI in Cybersecurity Market Outlook, By Government & Public Sector (2024-2032) ($MN)
  • Table 33 Global AI in Cybersecurity Market Outlook, By Energy & Utilities (2024-2032) ($MN)
  • Table 34 Global AI in Cybersecurity Market Outlook, By Other End Users (2024-2032) ($MN)

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