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市場調查報告書
商品編碼
2024137

人工智慧安全市場預測至2034年—按組件、部署模式、威脅類型、安全類型、應用、最終用戶和地區分類的全球分析

AI Security Market Forecasts to 2034 - Global Analysis By Component (Solutions, Platforms and Services), Deployment Mode, Threat Type, Security Type, Application, 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 的數據，預計到 2026 年，全球人工智慧安全市場規模將達到 246 億美元，並在預測期內以 18.9% 的複合年成長率成長，到 2034 年將達到 984 億美元。

AI 安全是指利用機器學習、深度學習、行為分析、自然語言處理和自主響應自動化等技術，以比傳統基於規則的安全方法更快、更大規模、更準確的方式，識別、調查和消除企業網路、終端、雲端和應用程式環境中的惡意軟體、勒索軟體、威脅偵測釣魚攻擊、內部威脅和高級持續保全行動威脅 (APT) 等網路

勒索軟體攻擊加劇

針對企業、醫療保健和關鍵基礎設施的勒索軟體攻擊，其複雜性、頻率和經濟影響呈指數級成長，這促使人們迫切需要投資人工智慧安全平台。這些平台能夠偵測新型惡意軟體變種，在加密之前識別勒索軟體的行為模式，並在有效載荷部署之前自主遏制威脅。勒索軟體事件的平均成本超過數百萬美元，這充分證明了投資人工智慧安全平台的合理性，因為與傳統解決方案相比，人工智慧安全平台在威脅偵測延遲方面具有明顯的優勢。

誤報引起的疲勞

由於人工智慧安全系統發出過多的誤報，安全營運中心 (SOC) 分析師出現“警報疲勞”，導致營運效率低下，威脅優先排序延遲。這增加了分析師因工作量過大而養成忽略警報的習慣，從而在龐大的自動化警報隊列中錯過真正威脅訊號的風險，進而削弱人工智慧安全平台的價值實現。供應商面臨持續的壓力，需要在不影響關鍵企業安全環境中部署的威脅偵測模型召回率的前提下，提高其準確性。

AI驅動的SOC自動化

安全營運中心 (SOC) 的自動化帶來了變革性的機會。能夠自主進行威脅優先排序、調查編配和事件回應的 AI 安全平台，不僅解決了 SOC 分析師嚴重短缺的問題，還提高了平均偵測和回應時間 (MTDR) 指標。 AI 驅動的安全編配平台取代了分析師手動執行重複性調查任務的工作流程，為那些希望在不相應增加分析師人員的情況下擴展保全行動能力的企業帶來了可觀的企業授權收入。

對抗性人工智慧攻擊的演變

對抗性人工智慧攻擊技術允許威脅行為者透過精心設計的對抗樣本操縱人工智慧安全模型的輸入，從而逃避偵測。這種攻擊動態構成了一種潛在的軍備競賽，不斷威脅人工智慧安全平台的公信力。國家級威脅行為者和老練的犯罪組織正在積極研究和開發人工智慧安全規避技術，並不斷提升對抗性攻擊能力，這要求人工智慧安全模型必須持續進行重新訓練，防禦架構也必須不斷演進，才能維持偵測的有效性。

新冠疫情的影響：

新冠疫情導致的遠距辦公模式激增，使得企業面臨的攻擊面大幅擴大，因為敏感資料分散在數百萬個缺乏企業級安全控制的家庭網路環境中。這即時催生了對人工智慧驅動的雲端安全、終端偵測和身份驗證系統的需求，以保護分散辦公室的員工。疫情期間，以新冠疫情為主題的網路釣魚攻擊激增，凸顯了基於人工智慧的威脅偵測的價值。隨著後疫情時代混合辦公模式的延續，企業對人工智慧安全的投入依然居高不下。

在預測期內，服務業預計將佔據最大佔有率。

在預測期內，服務領域預計將佔據最大的市場佔有率。這主要得益於企業對託管偵測與回應服務、安全營運中心 (SOC) 外包、威脅情報訂閱服務以及事件回應預付費合約的強勁需求。這些安全功能。提供人工智慧增強型 SOC 服務的資安管理服務提供者 (MSSP) 的收入是人工智慧安全市場中成長最快的專業服務類別。

預計在預測期內，雲端安全領域將呈現最高的複合年成長率。

在預測期內，雲端安全領域預計將呈現最高的成長率。這主要是由於企業工作負載加速遷移到多重雲端環境，擴大了雲端安全的攻擊面。因此，對人工智慧驅動的雲端安全態勢管理、雲端工作負載保護以及人工智慧驅動的識別及存取異常檢測能力的需求日益成長。這些能力能夠保護動態雲端基礎架構配置免受針對配置錯誤的儲存、濫用過度權限和 API 安全漏洞的複雜雲端原生攻擊。

市佔率最大的地區：

在預測期內，北美預計將佔據最大的市場佔有率。這主要歸功於美國擁有全球最大的企業網路安全市場，CrowdStrike、Palo Alto Networks、Darktrace 和 SentinelOne 等領先的人工智慧安全平台供應商在國內創造了可觀的收入；此外，在發生一系列針對美國關鍵基礎設施的高調勒索軟體事件後，聯邦政府和企業持續加大安全投入；以及大量創業投資投資湧入Start-Ups，推動其創新發展。

複合年成長率最高的地區：

在預測期內，亞太地區預計將呈現最高的複合年成長率。這主要歸因於以下幾個方面：針對亞洲金融服務、製造業和政府部門的網路威脅迅速增加，加速了企業在人工智慧安全方面的投資；新加坡、日本、韓國和印度等國政府開展的網路安全能力建設項目，催生了對系統化人工智慧安全平台的需求；以及該地區數位經濟攻擊面的不斷數位擴大，需要可擴展的人工智慧威脅偵測基礎設施人工智慧安全平台。

免費客製化服務：

所有購買此報告的客戶均可享受以下免費自訂選項之一：

  • 企業概況
    • 對其他市場參與者（最多 3 家公司）進行全面分析
    • 對主要企業進行SWOT分析（最多3家公司）
  • 區域細分
    • 應客戶要求，我們提供主要國家和地區的市場估算和預測，以及複合年成長率（註：需進行可行性檢查）。
  • 競爭性標竿分析
    • 根據產品系列、地理覆蓋範圍和策略聯盟對主要企業進行基準分析。

目錄

第1章執行摘要

  • 市場概覽及主要亮點
  • 促進因素、挑戰和機遇
  • 競爭格局概述
  • 戰略洞察與建議

第2章：研究框架

  • 研究目標和範圍
  • 相關人員分析
  • 研究假設和限制
  • 調查方法

第3章 市場動態與趨勢分析

  • 市場定義與結構
  • 主要市場促進因素
  • 市場限制與挑戰
  • 投資成長機會和重點領域
  • 產業威脅與風險評估
  • 技術與創新展望
  • 新興市場/高成長市場
  • 監管和政策環境
  • 新冠疫情的影響及復甦前景

第4章：競爭環境與策略評估

  • 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
    • 競爭公司之間的競爭
  • 主要企業市佔率分析
  • 產品基準評效和效能比較

第5章：全球人工智慧安全市場：按組件分類

  • 解決方案
  • 平台
  • 服務

第6章：全球人工智慧安全市場：按部署模式分類

  • 雲端安全
  • 現場安全

第7章 全球人工智慧安全市場：按威脅類型分類

  • 惡意軟體和勒索軟體攻擊
  • 網路釣魚與社交工程
  • 分散式阻斷服務攻擊（DDoS）
  • 內部威脅
  • 進階持續性威脅 (APT)

第8章 全球人工智慧安全市場：按安全類型分類

  • 網路安全
  • 端點安全
  • 應用程式安全
  • 身分和存取管理 (IAM)

第9章 全球人工智慧安全市場：按應用領域分類

  • 威脅偵測
  • 詐欺偵測
  • 身分和存取管理
  • 安全分析

第10章：全球人工智慧安全市場：按最終用戶分類

  • BFSI
  • 政府
  • 衛生保健
  • 零售
  • 資訊科技/通訊

第11章 全球人工智慧安全市場：按地區分類

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 義大利
    • 西班牙
    • 荷蘭
    • 比利時
    • 瑞典
    • 瑞士
    • 波蘭
    • 其他歐洲國家
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 韓國
    • 澳洲
    • 印尼
    • 泰國
    • 馬來西亞
    • 新加坡
    • 越南
    • 其他亞太國家
  • 南美洲
    • 巴西
    • 阿根廷
    • 哥倫比亞
    • 智利
    • 秘魯
    • 其他南美國家
  • 世界其他地區（RoW）
    • 中東
      • 沙烏地阿拉伯
      • 阿拉伯聯合大公國
      • 卡達
      • 以色列
      • 其他中東國家
    • 非洲
      • 南非
      • 埃及
      • 摩洛哥
      • 其他非洲國家

第12章 策略市場資訊

  • 工業價值網路和供應鏈評估
  • 空白區域和機會地圖
  • 產品演進與市場生命週期分析
  • 通路、經銷商和打入市場策略的評估

第13章 產業趨勢與策略舉措

  • 併購
  • 夥伴關係、聯盟和合資企業
  • 新產品發布和認證
  • 擴大生產能力和投資
  • 其他策略舉措

第14章：公司簡介

  • Cisco Systems Inc.
  • IBM Corporation
  • Microsoft Corporation
  • Palo Alto Networks
  • Fortinet Inc.
  • Check Point Software Technologies
  • Darktrace plc
  • CrowdStrike Holdings Inc.
  • Zscaler Inc.
  • Splunk Inc.
  • Rapid7 Inc.
  • McAfee Corp.
  • Trend Micro Inc.
  • Sophos Group plc
  • FireEye Inc.
  • SentinelOne Inc.
  • Proofpoint Inc.
Product Code: SMRC35348

According to Stratistics MRC, the Global AI Security Market is accounted for $24.6 billion in 2026 and is expected to reach $98.4 billion by 2034 growing at a CAGR of 18.9% during the forecast period. AI security refers to cybersecurity solutions, threat detection platforms, and security operations systems that leverage machine learning, deep learning, behavioral analytics, natural language processing, and autonomous response automation to identify, investigate, and neutralize cyber threats including malware, ransomware, phishing attacks, insider threats, and advanced persistent threats across enterprise network, endpoint, cloud, and application environments with greater speed, scale, and accuracy than conventional rule-based security approaches.

Market Dynamics:

Driver:

Ransomware Attack Escalation

Exponential escalation in ransomware attack sophistication, frequency, and financial impact across enterprise, healthcare, and critical infrastructure targets is driving urgent investment in AI-powered security platforms capable of detecting novel malware variants, identifying ransomware behavioral patterns during pre-encryption stages, and autonomously containing threats before payload deployment. Average ransomware incident costs exceeding millions of dollars per event are generating compelling security ROI justifications for AI security platform investments with demonstrable threat detection latency advantages over conventional solutions.

Restraint:

False Positive Alert Fatigue

Security operations center analyst alert fatigue from excessive AI security system false positive notifications creates operational inefficiency and threat triage delays that undermine AI security platform value realization as overloaded analysts develop alert dismissal habits that increase the risk of genuine threat signals being missed among high-volume automated alert queues. Platform vendors face continuous pressure to improve precision without compromising recall in threat detection models deployed in high-consequence enterprise security environments.

Opportunity:

AI-Powered SOC Automation

Security operations center automation represents a transformative opportunity as AI security platforms capable of autonomous threat triage, investigation orchestration, and incident response execution address critical SOC analyst shortage constraints while improving mean time to detect and respond metrics. AI-driven security orchestration platforms replacing manual analyst workflows for repetitive investigation tasks are generating substantial enterprise license revenue from organizations seeking to scale security operations capacity without proportional analyst headcount growth.

Threat:

Adversarial AI Attack Evolution

Adversarial AI attack techniques enabling threat actors to manipulate AI security model inputs through carefully crafted adversarial examples that evade detection represent a fundamental arms race dynamic that continuously threatens AI security platform reliability. Nation-state threat actors and sophisticated criminal organizations actively researching AI security evasion techniques are developing increasingly effective adversarial attack capabilities that require continuous AI security model retraining and defense architecture evolution to maintain detection effectiveness.

Covid-19 Impact:

COVID-19 remote work transition dramatically expanded enterprise attack surface by distributing sensitive data access across millions of home network environments lacking enterprise-grade security controls, generating immediate demand for AI-powered cloud security, endpoint detection, and identity verification systems capable of protecting distributed workforces. Pandemic-era surge in phishing attacks exploiting COVID-19 themes demonstrated AI threat detection value. Post-pandemic hybrid work model continuation sustains elevated enterprise AI security investment.

The services segment is expected to be the largest during the forecast period

The services segment is expected to account for the largest market share during the forecast period, due to strong enterprise demand for managed detection and response services, security operations center outsourcing, threat intelligence subscription services, and incident response retainer agreements that deliver AI-powered security capabilities to organizations lacking internal AI security expertise and analyst capacity. Managed security service provider revenue from AI-enhanced SOC services represents the highest-growth professional services category within the AI security market.

The cloud security segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the cloud security segment is predicted to witness the highest growth rate, driven by accelerating enterprise workload migration to multi-cloud environments expanding the cloud security attack surface requiring AI-powered cloud security posture management, cloud workload protection, and AI-driven identity and access anomaly detection capabilities that protect dynamic cloud infrastructure configurations against sophisticated cloud-native attack techniques targeting misconfigured storage, excessive privilege abuse, and API security vulnerabilities.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, due to the United States hosting the world's largest enterprise cybersecurity market with leading AI security platform vendors including CrowdStrike, Palo Alto Networks, Darktrace, and SentinelOne generating substantial domestic revenue, combined with high-profile ransomware incidents targeting U.S. critical infrastructure sustaining elevated federal and enterprise security investment and strong venture capital funding for AI security startup innovation.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, due to rapidly escalating cyber threat targeting of Asian financial services, manufacturing, and government sectors driving accelerated enterprise AI security investment, government cybersecurity capacity building programs across Singapore, Japan, South Korea, and India creating institutional AI security platform demand, and expanding regional digital economy attack surface requiring scalable AI threat detection infrastructure.

Key players in the market

Some of the key players in AI Security Market include Cisco Systems Inc., IBM Corporation, Microsoft Corporation, Palo Alto Networks, Fortinet Inc., Check Point Software Technologies, Darktrace plc, CrowdStrike Holdings Inc., Zscaler Inc., Splunk Inc., Rapid7 Inc., McAfee Corp., Trend Micro Inc., Sophos Group plc, FireEye Inc., SentinelOne Inc., and Proofpoint Inc..

Key Developments:

In March 2026, CrowdStrike Holdings Inc. launched Charlotte AI security analyst platform delivering autonomous threat investigation and incident response orchestration enabling SOC teams to resolve security incidents at machine speed without manual analyst intervention.

In February 2026, Palo Alto Networks introduced Precision AI-powered network security platform integrating inline machine learning threat prevention with automated security policy optimization across enterprise network and cloud environments.

In November 2025, Darktrace plc secured a major critical infrastructure deployment of its autonomous AI cyber defense system across a national energy utility operator network protecting operational technology environments from sophisticated threat actors.

Components Covered:

  • Solutions
  • Platforms
  • Services

Deployment Modes Covered:

  • Cloud Security
  • On-Premise Security

Threat Types Covered:

  • Malware & Ransomware Attacks
  • Phishing & Social Engineering
  • Distributed Denial of Service (DDoS)
  • Insider Threats
  • Advanced Persistent Threats (APTs)

Security Types Covered:

  • Network Security
  • Endpoint Security
  • Application Security
  • Identity and Access Management (IAM)

Applications Covered:

  • Threat Detection
  • Fraud Detection
  • Identity & Access Management
  • Security Analytics

End Users Covered:

  • BFSI
  • Government
  • Healthcare
  • Retail
  • IT & Telecom

Regions Covered:

  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • United Kingdom
    • Germany
    • France
    • Italy
    • Spain
    • Netherlands
    • Belgium
    • Sweden
    • Switzerland
    • Poland
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Indonesia
    • Thailand
    • Malaysia
    • Singapore
    • Vietnam
    • Rest of Asia Pacific
  • South America
    • Brazil
    • Argentina
    • Colombia
    • Chile
    • Peru
    • Rest of South America
  • Rest of the World (RoW)
    • Middle East
  • Saudi Arabia
  • United Arab Emirates
  • Qatar
  • Israel
  • Rest of Middle East
    • Africa
  • South Africa
  • Egypt
  • Morocco
  • Rest of 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 2023, 2024, 2025, 2026, 2027, 2028, 2030, 2032 and 2034
  • 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

  • 1.1 Market Snapshot and Key Highlights
  • 1.2 Growth Drivers, Challenges, and Opportunities
  • 1.3 Competitive Landscape Overview
  • 1.4 Strategic Insights and Recommendations

2 Research Framework

  • 2.1 Study Objectives and Scope
  • 2.2 Stakeholder Analysis
  • 2.3 Research Assumptions and Limitations
  • 2.4 Research Methodology
    • 2.4.1 Data Collection (Primary and Secondary)
    • 2.4.2 Data Modeling and Estimation Techniques
    • 2.4.3 Data Validation and Triangulation
    • 2.4.4 Analytical and Forecasting Approach

3 Market Dynamics and Trend Analysis

  • 3.1 Market Definition and Structure
  • 3.2 Key Market Drivers
  • 3.3 Market Restraints and Challenges
  • 3.4 Growth Opportunities and Investment Hotspots
  • 3.5 Industry Threats and Risk Assessment
  • 3.6 Technology and Innovation Landscape
  • 3.7 Emerging and High-Growth Markets
  • 3.8 Regulatory and Policy Environment
  • 3.9 Impact of COVID-19 and Recovery Outlook

4 Competitive and Strategic Assessment

  • 4.1 Porter's Five Forces Analysis
    • 4.1.1 Supplier Bargaining Power
    • 4.1.2 Buyer Bargaining Power
    • 4.1.3 Threat of Substitutes
    • 4.1.4 Threat of New Entrants
    • 4.1.5 Competitive Rivalry
  • 4.2 Market Share Analysis of Key Players
  • 4.3 Product Benchmarking and Performance Comparison

5 Global AI Security Market, By Component

  • 5.1 Solutions
  • 5.2 Platforms
  • 5.3 Services

6 Global AI Security Market, By Deployment Mode

  • 6.1 Cloud Security
  • 6.2 On-Premise Security

7 Global AI Security Market, By Threat Type

  • 7.1 Malware & Ransomware Attacks
  • 7.2 Phishing & Social Engineering
  • 7.3 Distributed Denial of Service (DDoS)
  • 7.4 Insider Threats
  • 7.5 Advanced Persistent Threats (APTs)

8 Global AI Security Market, By Security Type

  • 8.1 Network Security
  • 8.2 Endpoint Security
  • 8.3 Application Security
  • 8.4 Identity and Access Management (IAM)

9 Global AI Security Market, By Application

  • 9.1 Threat Detection
  • 9.2 Fraud Detection
  • 9.3 Identity & Access Management
  • 9.4 Security Analytics

10 Global AI Security Market, By End User

  • 10.1 BFSI
  • 10.2 Government
  • 10.3 Healthcare
  • 10.4 Retail
  • 10.5 IT & Telecom

11 Global AI Security Market, By Geography

  • 11.1 North America
    • 11.1.1 United States
    • 11.1.2 Canada
    • 11.1.3 Mexico
  • 11.2 Europe
    • 11.2.1 United Kingdom
    • 11.2.2 Germany
    • 11.2.3 France
    • 11.2.4 Italy
    • 11.2.5 Spain
    • 11.2.6 Netherlands
    • 11.2.7 Belgium
    • 11.2.8 Sweden
    • 11.2.9 Switzerland
    • 11.2.10 Poland
    • 11.2.11 Rest of Europe
  • 11.3 Asia Pacific
    • 11.3.1 China
    • 11.3.2 Japan
    • 11.3.3 India
    • 11.3.4 South Korea
    • 11.3.5 Australia
    • 11.3.6 Indonesia
    • 11.3.7 Thailand
    • 11.3.8 Malaysia
    • 11.3.9 Singapore
    • 11.3.10 Vietnam
    • 11.3.11 Rest of Asia Pacific
  • 11.4 South America
    • 11.4.1 Brazil
    • 11.4.2 Argentina
    • 11.4.3 Colombia
    • 11.4.4 Chile
    • 11.4.5 Peru
    • 11.4.6 Rest of South America
  • 11.5 Rest of the World (RoW)
    • 11.5.1 Middle East
      • 11.5.1.1 Saudi Arabia
      • 11.5.1.2 United Arab Emirates
      • 11.5.1.3 Qatar
      • 11.5.1.4 Israel
      • 11.5.1.5 Rest of Middle East
    • 11.5.2 Africa
      • 11.5.2.1 South Africa
      • 11.5.2.2 Egypt
      • 11.5.2.3 Morocco
      • 11.5.2.4 Rest of Africa

12 Strategic Market Intelligence

  • 12.1 Industry Value Network and Supply Chain Assessment
  • 12.2 White-Space and Opportunity Mapping
  • 12.3 Product Evolution and Market Life Cycle Analysis
  • 12.4 Channel, Distributor, and Go-to-Market Assessment

13 Industry Developments and Strategic Initiatives

  • 13.1 Mergers and Acquisitions
  • 13.2 Partnerships, Alliances, and Joint Ventures
  • 13.3 New Product Launches and Certifications
  • 13.4 Capacity Expansion and Investments
  • 13.5 Other Strategic Initiatives

14 Company Profiles

  • 14.1 Cisco Systems Inc.
  • 14.2 IBM Corporation
  • 14.3 Microsoft Corporation
  • 14.4 Palo Alto Networks
  • 14.5 Fortinet Inc.
  • 14.6 Check Point Software Technologies
  • 14.7 Darktrace plc
  • 14.8 CrowdStrike Holdings Inc.
  • 14.9 Zscaler Inc.
  • 14.10 Splunk Inc.
  • 14.11 Rapid7 Inc.
  • 14.12 McAfee Corp.
  • 14.13 Trend Micro Inc.
  • 14.14 Sophos Group plc
  • 14.15 FireEye Inc.
  • 14.16 SentinelOne Inc.
  • 14.17 Proofpoint Inc.

List of Tables

  • Table 1 Global AI Security Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global AI Security Market Outlook, By Component (2023-2034) ($MN)
  • Table 3 Global AI Security Market Outlook, By Solutions (2023-2034) ($MN)
  • Table 4 Global AI Security Market Outlook, By Platforms (2023-2034) ($MN)
  • Table 5 Global AI Security Market Outlook, By Services (2023-2034) ($MN)
  • Table 6 Global AI Security Market Outlook, By Deployment Mode (2023-2034) ($MN)
  • Table 7 Global AI Security Market Outlook, By Cloud Security (2023-2034) ($MN)
  • Table 8 Global AI Security Market Outlook, By On-Premise Security (2023-2034) ($MN)
  • Table 9 Global AI Security Market Outlook, By Threat Type (2023-2034) ($MN)
  • Table 10 Global AI Security Market Outlook, By Malware & Ransomware Attacks (2023-2034) ($MN)
  • Table 11 Global AI Security Market Outlook, By Phishing & Social Engineering (2023-2034) ($MN)
  • Table 12 Global AI Security Market Outlook, By Distributed Denial of Service (DDoS) (2023-2034) ($MN)
  • Table 13 Global AI Security Market Outlook, By Insider Threats (2023-2034) ($MN)
  • Table 14 Global AI Security Market Outlook, By Advanced Persistent Threats (APTs) (2023-2034) ($MN)
  • Table 15 Global AI Security Market Outlook, By Security Type (2023-2034) ($MN)
  • Table 16 Global AI Security Market Outlook, By Network Security (2023-2034) ($MN)
  • Table 17 Global AI Security Market Outlook, By Endpoint Security (2023-2034) ($MN)
  • Table 18 Global AI Security Market Outlook, By Application Security (2023-2034) ($MN)
  • Table 19 Global AI Security Market Outlook, By Identity and Access Management (IAM) (2023-2034) ($MN)
  • Table 20 Global AI Security Market Outlook, By Application (2023-2034) ($MN)
  • Table 21 Global AI Security Market Outlook, By Threat Detection (2023-2034) ($MN)
  • Table 22 Global AI Security Market Outlook, By Fraud Detection (2023-2034) ($MN)
  • Table 23 Global AI Security Market Outlook, By Identity & Access Management (2023-2034) ($MN)
  • Table 24 Global AI Security Market Outlook, By Security Analytics (2023-2034) ($MN)
  • Table 25 Global AI Security Market Outlook, By End User (2023-2034) ($MN)
  • Table 26 Global AI Security Market Outlook, By BFSI (2023-2034) ($MN)
  • Table 27 Global AI Security Market Outlook, By Government (2023-2034) ($MN)
  • Table 28 Global AI Security Market Outlook, By Healthcare (2023-2034) ($MN)
  • Table 29 Global AI Security Market Outlook, By Retail (2023-2034) ($MN)
  • Table 30 Global AI Security Market Outlook, By IT & Telecom (2023-2034) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Rest of the World (RoW) Regions are also represented in the same manner as above.