網路安全中的人工智慧 (AI) 市場規模、佔有率、成長分析(按類型、產品、技術、產業垂直、應用、地區和預測)到 2025 年至 2032 年
市場調查報告書
商品編碼
1755470

網路安全中的人工智慧 (AI) 市場規模、佔有率、成長分析(按類型、產品、技術、產業垂直、應用、地區和預測)到 2025 年至 2032 年

Artificial Intelligence (AI) in Cybersecurity Market Size, Share, and Growth Analysis, By Type (Network Security, Endpoint Security), By Offering (Hardware, Software), By Technology, By Vertical, By Application, By Region - Industry Forecast 2025-2032

出版日期: | 出版商: SkyQuest | 英文 265 Pages | 商品交期: 3-5個工作天內

價格
簡介目錄

預計到 2023 年,網路安全市場中的人工智慧 (AI) 將以 235 億美元的複合年成長率成長,從 2024 年的 290.5 億美元成長到 2032 年的 1582.1 億美元,預測期內(2025-2032 年)的複合年成長率為 23.6%。

由於網路攻擊的頻率和複雜性不斷增加,人工智慧 (AI) 技術市場,尤其是在網路安全領域,正在經歷顯著成長。安全和政府機構正在利用自然語言處理 (NLP) 和機器學習 (ML) 等先進的人工智慧應用來增強威脅偵測、回應和保護措施。關鍵洞察表明,透過行為生物識別技術進行強用戶身份驗證的需求日益成長,促使行業相關人員優先開發能夠充分利用人工智慧潛力來提升安全智慧的機器學習演算法。此外,銀行等領域日益成長的隱私問題進一步凸顯了對人工智慧主導的網路安全解決方案的需求。因此,預計該市場將大幅擴張,以滿足對全面安全解決方案日益成長的需求。

目錄

介紹

  • 調查目的
  • 研究範圍
  • 定義

調查方法

  • 資訊採購
  • 二次資料和一次資料方法
  • 市場規模預測
  • 市場假設與限制

執行摘要

  • 全球市場展望
  • 供需趨勢分析
  • 細分機會分析

市場動態與展望

  • 市場概覽
  • 市場規模
  • 市場動態
    • 促進因素和機會
    • 限制與挑戰
  • 波特的分析

關鍵市場考察

  • 關鍵成功因素
  • 競爭程度
  • 關鍵投資機會
  • 市場生態系統
  • 市場吸引力指數(2024年)
  • PESTEL分析
  • 總體經濟指標
  • 價值鏈分析
  • 定價分析

網路安全人工智慧 (AI) 市場規模(按類型及複合年成長率)(2025-2032 年)

  • 市場概覽
  • 網路安全
  • 端點安全
  • 應用程式安全
  • 雲端安全

網路安全人工智慧 (AI) 市場規模(按產品類型和複合年成長率) (2025-2032)

  • 市場概覽
  • 硬體
  • 軟體
  • 服務

網路安全人工智慧 (AI) 市場規模(按技術及複合年成長率)(2025-2032)

  • 市場概覽
  • 機器學習
  • 自然語言處理(NLP)
  • 情境感知計算

網路安全人工智慧 (AI) 市場規模(按產業垂直分類)及複合年成長率(2025-2032 年)

  • 市場概覽
  • BFSI
  • 零售
  • 政府和國防
  • 製造業
  • 公司
  • 衛生保健
  • 汽車與運輸
  • 其他

網路安全人工智慧 (AI) 市場規模(按應用和複合年成長率) (2025-2032)

  • 市場概覽
  • 身份驗證和存取管理
  • 風險與合規管理
  • 預防資料外泄
  • 統一威脅管理
  • 詐欺偵測/反詐欺
  • 威脅情報
  • 其他

網路安全中的人工智慧 (AI) 市場規模及複合年成長率 (2025-2032)

  • 北美洲
    • 美國
    • 加拿大
  • 歐洲
    • 德國
    • 西班牙
    • 法國
    • 英國
    • 義大利
    • 其他歐洲國家
  • 亞太地區
    • 中國
    • 印度
    • 日本
    • 韓國
    • 其他亞太地區
  • 拉丁美洲
    • 巴西
    • 其他拉丁美洲
  • 中東和非洲
    • 海灣合作理事會國家
    • 南非
    • 其他中東和非洲地區

競爭資訊

  • 前五大公司對比
  • 主要企業市場定位(2024年)
  • 主要市場參與者所採取的策略
  • 近期市場趨勢
  • 公司市場佔有率分析(2024年)
  • 主要企業簡介
    • 公司詳情
    • 產品系列分析
    • 公司分部佔有率分析
    • 收益與前一年同期比較對比(2022-2024 年)

      主要企業簡介

      • Palo Alto Networks(美國)
      • CrowdStrike(美國)
      • Fortinet(美國)
      • Check Point 軟體技術公司(以色列)
      • Vectra AI(美國)
      • SentinelOne(美國)
      • Cyber​​eason(美國)
      • 微軟(美國)
      • IBM(美國)
      • 思科(美國)
      • 賽門鐵克(美國)
      • Sophos(英國)
      • Zscaler(美國)
      • Nozomi Networks(美國)
      • 北極狼網路(美國)
      • Rapid7(美國)

結論和建議

簡介目錄
Product Code: SQMIG45F2068

Global Artificial Intelligence (AI) in Cybersecurity Market size was valued at USD 23.5 billion in 2023 and is poised to grow from USD 29.05 billion in 2024 to USD 158.21 billion by 2032, growing at a CAGR of 23.6% during the forecast period (2025-2032).

The market for Artificial Intelligence (AI) technologies, particularly in cybersecurity, is experiencing substantial growth due to the increasing frequency and complexity of cyberattacks. Advanced AI applications, such as natural language processing (NLP) and machine learning (ML), are being leveraged by security and government agencies to enhance threat detection, response, and protection measures. Key insights reveal a rising demand for robust user authentication through behavioral biometrics, pushing industry stakeholders to prioritize the development of ML algorithms that harness AI's full potential for improving security intelligence. Additionally, heightened privacy concerns in sectors like banking further underscore the necessity for AI-driven cybersecurity solutions. As a result, the market is poised for significant expansion to meet the escalating demand for comprehensive security solutions.

Top-down and bottom-up approaches were used to estimate and validate the size of the Global Artificial Intelligence (AI) in Cybersecurity market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.

Global Artificial Intelligence (AI) in Cybersecurity Market Segments Analysis

Global Artificial Intelligence (AI) in Cybersecurity Market is segmented by Type, Offering, Technology, Vertical, Application and region. Based on Type, the market is segmented into Network Security, Endpoint Security, Application Security and Cloud Security. Based on Offering, the market is segmented into Hardware, Software and Services. Based on Technology, the market is segmented intomachine learning, Natural Language Processing (NLP) and Context-aware Computing. Based on Vertical, the market is segmented into BFSI, Retail, Government & Defense, Manufacturing, Enterprise, Healthcare, Automotive & Transportation and Others. Based on Application, the market is segmented into Identity And Access Management, Risk And Compliance Management, Data Loss Prevention, Unified Threat Management, Fraud Detection/Anti-Fraud, Threat Intelligence and Others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.

Driver of the Global Artificial Intelligence (AI) in Cybersecurity Market

The surge in cyberattacks is a significant catalyst for the growing integration of AI in cybersecurity. Conventional security protocols frequently fall short in addressing the fast-evolving nature of threats, prompting a need for advanced solutions. AI technologies, with their ability to process vast datasets and detect patterns of wrongdoing, offer robust defense mechanisms against complex attacks, including common vulnerabilities and advanced persistent threats (APTs). As organizations seek to bolster their security frameworks, the adoption of AI-driven solutions becomes imperative, ensuring they can effectively navigate and counteract the ever-changing landscape of cyber threats.

Restraints in the Global Artificial Intelligence (AI) in Cybersecurity Market

The implementation of AI-driven cybersecurity solutions entails substantial investment in software, hardware, and specialized personnel, which can pose a challenge, especially for small and medium enterprises (SMEs) that often find these expenses prohibitive. This financial burden can deter SMEs from adopting such technologies, curbing their ability to enhance cybersecurity measures. Additionally, larger organizations, despite having more resources, may also face difficulties justifying the high costs associated with widespread AI deployment across various sectors of their operations. Consequently, these financial constraints represent a significant barrier to the broader integration of AI in cybersecurity practices.

Market Trends of the Global Artificial Intelligence (AI) in Cybersecurity Market

The integration of Artificial Intelligence (AI) into threat intelligence systems is a pivotal trend shaping the global AI in cybersecurity market. As cyber threats evolve in complexity, AI enhances the capacity to predict, detect, and mitigate risks in real-time by analyzing vast amounts of threat data from diverse sources, such as the dark web, social media, and network traffic. These sophisticated AI algorithms identify patterns and anomalies that signal potential attacks, enabling a proactive defense approach. Automating the correlation and analysis of threat intelligence not only provides timely and accurate insights but also fosters the development of scalable cybersecurity solutions, fortifying organizations against ever-evolving threats.

Table of Contents

Introduction

  • Objectives of the Study
  • Scope of the Report
  • Definitions

Research Methodology

  • Information Procurement
  • Secondary & Primary Data Methods
  • Market Size Estimation
  • Market Assumptions & Limitations

Executive Summary

  • Global Market Outlook
  • Supply & Demand Trend Analysis
  • Segmental Opportunity Analysis

Market Dynamics & Outlook

  • Market Overview
  • Market Size
  • Market Dynamics
    • Drivers & Opportunities
    • Restraints & Challenges
  • Porters Analysis
    • Competitive rivalry
    • Threat of substitute
    • Bargaining power of buyers
    • Threat of new entrants
    • Bargaining power of suppliers

Key Market Insights

  • Key Success Factors
  • Degree of Competition
  • Top Investment Pockets
  • Market Ecosystem
  • Market Attractiveness Index, 2024
  • PESTEL Analysis
  • Macro-Economic Indicators
  • Value Chain Analysis
  • Pricing Analysis

Global Artificial Intelligence (AI) in Cybersecurity Market Size by Type & CAGR (2025-2032)

  • Market Overview
  • Network Security
  • Endpoint Security
  • Application Security
  • Cloud Security

Global Artificial Intelligence (AI) in Cybersecurity Market Size by Offering & CAGR (2025-2032)

  • Market Overview
  • Hardware
  • Software
  • Services

Global Artificial Intelligence (AI) in Cybersecurity Market Size by Technology & CAGR (2025-2032)

  • Market Overview
  • Machine Learning
  • Natural Language Processing (NLP)
  • Context-aware Computing

Global Artificial Intelligence (AI) in Cybersecurity Market Size by Vertical & CAGR (2025-2032)

  • Market Overview
  • BFSI
  • Retail
  • Government & Defense
  • Manufacturing
  • Enterprise
  • Healthcare
  • Automotive & Transportation
  • Others

Global Artificial Intelligence (AI) in Cybersecurity Market Size by Application & CAGR (2025-2032)

  • Market Overview
  • Identity And Access Management
  • Risk And Compliance Management
  • Data Loss Prevention
  • Unified Threat Management
  • Fraud Detection/Anti-Fraud
  • Threat Intelligence
  • Others

Global Artificial Intelligence (AI) in Cybersecurity Market Size & CAGR (2025-2032)

  • North America (Type, Offering, Technology, Vertical, Application)
    • US
    • Canada
  • Europe (Type, Offering, Technology, Vertical, Application)
    • Germany
    • Spain
    • France
    • UK
    • Italy
    • Rest of Europe
  • Asia Pacific (Type, Offering, Technology, Vertical, Application)
    • China
    • India
    • Japan
    • South Korea
    • Rest of Asia-Pacific
  • Latin America (Type, Offering, Technology, Vertical, Application)
    • Brazil
    • Rest of Latin America
  • Middle East & Africa (Type, Offering, Technology, Vertical, Application)
    • GCC Countries
    • South Africa
    • Rest of Middle East & Africa

Competitive Intelligence

  • Top 5 Player Comparison
  • Market Positioning of Key Players, 2024
  • Strategies Adopted by Key Market Players
  • Recent Developments in the Market
  • Company Market Share Analysis, 2024
  • Company Profiles of All Key Players
    • Company Details
    • Product Portfolio Analysis
    • Company's Segmental Share Analysis
    • Revenue Y-O-Y Comparison (2022-2024)

Key Company Profiles

  • Palo Alto Networks (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • CrowdStrike (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Fortinet (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Check Point Software Technologies (Israel)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Vectra AI (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • SentinelOne (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Cybereason (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Microsoft (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • IBM (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Cisco (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Symantec (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Sophos (UK)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Zscaler (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Nozomi Networks (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Arctic Wolf Networks (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Rapid7 (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments

Conclusion & Recommendations