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1504879

網路安全人工智慧市場規模、佔有率和成長分析：按組件、按安全類型、按技術、按應用、按組織規模、按行業、按地區 - 行業預測，2024-2031 年

Artificial Intelligence in Cybersecurity Market Size, Share, Growth Analysis, By Security Type, By Technology, By Application, By Vertical, By Region - Industry Forecast 2024-2031
出版日期: | 出版商: SkyQuest | 英文 265 Pages | 商品交期: 3-5個工作天內

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簡介目錄

2022年網路安全人工智慧市場規模為183.6億美元，預計將從2023年的224.9億美元成長到2031年的1143億美元，並預計將從2023年的224.9億美元成長到2031年的1143億美元。到2031年（~2031年）預計將以22.53%的複合年成長率成長。

人工智慧在網路安全中發揮著至關重要的作用，成為在日益複雜的網路威脅中保護數位資產的強大工具。人工智慧技術透過增強威脅偵測和管理的主動方法正在徹底改變傳統的網路安全實踐。透過利用機器學習和預測分析，人工智慧可以即時篩選大量資料集並自動識別異常和潛在漏洞。此功能不僅改善了威脅偵測，還允許企業主動降低風險，減少潛在的財務損失和資料外洩。將人工智慧整合到網路安全業務中可以簡化事件回應並最大程度地減少業務中斷和聲譽損害。隨著人工智慧主導的解決方案不斷發展，它們的採用在各個行業中變得至關重要，推動網路防禦策略的持續創新，並增強針對不斷變化的威脅的數位彈性。

目錄

介紹

  • 這項研究的目的
  • 定義
  • 市場範圍

調查方法

  • 資訊採購
  • 二手資料來源和主要資料來源
  • 市場規模預測
  • 市場假設與限制

執行摘要

  • 市場概況展望
  • 供需趨勢分析
  • 按細分市場的機會分析

市場動態及展望

  • 市場動態
    • 促進因素
    • 機會
    • 抑制因素
    • 任務
  • 波特的分析

主要市場考察

  • 技術分析
  • 專利分析
  • 案例研究分析
  • 貿易分析
  • 價值鏈分析
  • 價格分析
  • 市場生態系統
  • Start-Ups分析
  • 監管環境
  • 創新矩陣
  • 主要投資分析
  • 關鍵成功因素
  • 競爭程度

網路安全人工智慧市場：按組成部分

  • 市場概況
  • 硬體
    • 加速器
    • 處理器
    • 微處理器 (MPU)
    • 圖形處理單元（GPU）
    • 現場可程式閘陣列(FPGA)
    • 專用積體電路 (ASIC)
    • 張量處理單元 (TPU)
    • 貯存
    • 網路
  • 軟體/平台
    • 獨立的
    • 一體化
  • 服務
    • 專業服務
    • 諮詢服務
    • 部署與整合
    • 支援與維護
    • 管理服務

網路安全人工智慧市場：按安全類型

  • 市場概況
  • 基礎設施安全
    • 網路安全
    • 端點安全
    • 雲端安全
    • 其他
  • 資料安全
  • 應用程式安全
  • 其他

網路安全人工智慧市場：依技術分類

  • 市場概況
  • 機器學習（ML）
    • 深度學習
    • 卷積類神經網路（CNN）
    • 循環神經網路 (RNN)
    • 人工智慧世代
    • 生成對抗網路
    • 變分自動編碼器
    • 變革性人工智慧
    • 其他
    • 監督學習
    • 無監督學習
    • 強化學習
    • 神經網路
  • 自然語言處理（NLP）
    • 文字分析
    • 聊天機器人安全
    • 情緒分析
    • 自然語言生成（NLG）
    • 命名實體識別 (NER)
    • 自然語言理解（NLU）
  • 上下文感知計算
    • 自動化威脅情報
    • 威脅狩獵
    • 自動化和編配
    • 安全編配回應 (SOAR)
    • 機器人流程自動化 (RPA)
  • 上下文感知計算
    • 影像識別
    • 物體偵測
    • 異常檢測
    • 影片分析
    • 臉部辨識
    • 最佳化安全監控

網路安全人工智慧市場：按應用分類

  • 市場概況
  • 身分和存取管理
  • 風險與合規管理
  • 預防資料外泄
  • 統一威脅管理
  • 詐欺識別
  • 安全/漏洞管理
  • 入侵偵測/預防系統
  • 其他

網路安全人工智慧市場：按組織規模分類

  • 市場概況
  • 中小企業
  • 主要企業

網路安全人工智慧市場：按行業分類

  • 市場概況
  • BFSI
  • 資訊科技/通訊
  • 政府/國防
  • 製造業
  • 零售/電子商務
  • 媒體娛樂
  • 車
  • 其他

網路安全人工智慧市場：按地區

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

競爭格局

  • 前5名企業對比
  • 主要企業市場定位（2023年）
  • 主要市場參與者所採取的策略
  • 近期市集活動
  • 主要企業市場佔有率（2023年）

主要企業簡介

  • NVIDIA Corporation
  • Intel Corporation
  • Xilinx Inc.
  • Samsung Electronics Co Ltd
  • Micron Technology Inc.
  • Amazon Web Services, Inc.
  • IBM Corporation
  • Microsoft Corporation
  • FireEye, Inc.
  • Palo Alto Networks, Inc.
  • Juniper Networks, Inc.
  • Fortinet, Inc.
  • Cisco Systems, Inc.
  • Check Point Software Technologies Ltd.
  • Imperva
  • McAfee LLC
  • LogRhythm, Inc.
  • Sophos Ltd.
  • NortonLifeLock Inc.
  • Crowdstrike Holdings, Inc.
簡介目錄
Product Code: SQMIG45F2068

Artificial Intelligence (AI) in Cybersecurity Market size was valued at USD 18.36 Billion in 2022 and is poised to grow from USD 22.49 Billion in 2023 to USD 114.30 Billion by 2031, at a CAGR of 22.53% during the forecast period (2024-2031).

Artificial Intelligence (AI) plays a pivotal role in cybersecurity, emerging as a powerful tool for safeguarding digital assets amidst increasingly sophisticated cyber threats. AI technologies empower a proactive approach to threat detection and management, revolutionizing traditional cybersecurity practices. By leveraging machine learning and predictive analytics, AI enables real-time scrutiny of vast datasets to identify anomalies and potential vulnerabilities autonomously. This capability not only enhances threat detection but also allows organizations to pre-emptively mitigate risks, thereby reducing the likelihood of financial losses and data breaches. The integration of AI in cybersecurity operations streamlines incident response, minimizing business disruptions and reputational harm. As AI-driven solutions continue to evolve, their adoption is becoming essential across industries, driving continuous innovation in cyber defence strategies and reinforcing digital resilience against evolving threats.

Top-down and bottom-up approaches were used to estimate and validate the size of the 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.

Artificial Intelligence (AI) in Cybersecurity Market Segmental Analysis

Artificial Intelligence (AI) in Cybersecurity Market is segmented based on offering, security type, technology, application, vertical and region. By offering, the market is segmented into hardware, software, and services. By security type, the market is divided into infrastructure security, data security, application security, and others. By technology, the market is segmented into machine learning (ML), natural language processing (NLP), and context-aware computing. By application, the market is segmented into identity & access management, risk & compliance management, data loss prevention, unified threat management, fraud detection, and others. By vertical the market is segmented into, BFSI, it & telecom, government & defence, manufacturing, and others. By region, the market is segmented into North America, Europe, Asia Pacific, Middle East and Africa, and Latin America.

Drivers of the Artificial Intelligence (AI) in Cybersecurity Market

The escalating threat landscape, marked by evolving tactics such as ransomware, phishing, and advanced persistent threats (APTs), underscores the critical role of AI in cybersecurity. Globally, organizations faced an average of 1,158 cyber-attacks per week per entity in 2022, with a marginal 1% increase. In India, this figure surged in 2023 to 2,138 weekly cyber-attacks per organization, reflecting a significant 15% rise from the previous year. These statistics emphasize the urgent need for robust cybersecurity measures. AI integration has notably enhanced the agility and efficacy of cybersecurity frameworks, enabling swifter and more precise threat detection, thus underscoring AI's pivotal role in safeguarding digital assets against emerging threats.

Restraints in the Artificial Intelligence (AI) in Cybersecurity Market

AI is broadly categorized into several types, spanning diverse algorithms such as machine learning, genetic algorithms, deep learning, and neural networks. These algorithms play crucial roles in various applications, including computer security. Particularly concerning are zero-day threats, where malicious actors exploit previously unknown vulnerabilities, posing significant risks to cybersecurity. One prevalent zero-day threat is the Advanced Persistent Threat (APT), characterized by unauthorized access to a network, often remaining undetected for extended periods. Such threats underscore the ongoing challenge of safeguarding digital systems against sophisticated and evolving cybersecurity risks, necessitating continual advancements in defensive strategies and technologies.

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

Implementing smart automation in AI-based security systems can significantly minimize the need for manual effort to achieve objectives. This technology aids in automating identity verification and access control measures, crucially aligned with the growing prominence of zero-trust security frameworks. These frameworks necessitate rigorous authentication, continuous validation, and authorization for every network user, underscoring the importance of efficient security measures. Embracing automation allows organizations to assign risk scores to potentially suspicious activities instead of abruptly terminating user sessions or locking them out, thus enhancing overall security without compromising operational efficiency or user experience. This shift not only streamlines security protocols but also adapts defences to dynamic threats in real-time, ensuring robust protection in a digital landscape increasingly vulnerable to sophisticated cyber threats.

Table of Contents

Introduction

  • Objectives of the Study
  • Definitions
  • Market Scope

Research Methodology

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

Executive Summary

  • Market Overview Outlook
  • Supply Demand Trend Analysis
  • Segmental Opportunity Analysis

Market Dynamics & Outlook

  • Market Dynamics
    • Drivers
    • Opportunities
    • Restraints
    • Challenges
  • Porters Analysis
    • Competitive rivalry
    • Threat of Substitute Products
    • Bargaining Power of Buyers
    • Threat of New Entrants
    • Bargaining Power of Suppliers

Key Market Insights

  • Technology Analysis
  • Patent Analysis
  • Case Study Analysis
  • Trade Analysis
  • Value Chain Analysis
  • Pricing Analysis
  • Ecosystem of the Market
  • Start-up Analysis
  • Regulatory Landscape
  • Innovation Matrix
  • Top Investment Analysis
  • Key Success Factor
  • Degree of Competition

Artificial Intelligence (AI) in Cybersecurity Market by component

  • Market Overview
  • Hardware
    • Accelerators
    • Processors
    • Micro processing Unit (MPU)
    • Graphics Processing Unit (GPU)
    • Field Programmable Gate Arrays (FPGA)
    • Application Specific Integrated Circuit (ASIC)
    • Tensor Processing Unit (TPU)
    • Tensor Processing Unit (TPU)
    • Storage
    • Network
  • Software/Platform
    • Standalone
    • Integrated
  • Services
    • Professional Services
    • Consulting Services
    • Deployment & Integration
    • Support & Maintenance
    • Manages Services

Artificial Intelligence (AI) in Cybersecurity Market by Security Type

  • Market Overview
  • Infrastructure Security
    • Network Security
    • Endpoint Security
    • Cloud Security
    • Others
  • Data Security
  • Application Security
  • Others

Artificial Intelligence (AI) in Cybersecurity Market by Technology

  • Market Overview
  • Machine Learning (ML)
    • Deep Learning
    • Convolutional Neural Network (CNN)
    • Recurrent Neural Network (RNN)
    • Generative AI
    • Generative Adversarial Networks
    • Variational Autoencoders
    • Transformative AI
    • Others
    • Supervised Learning
    • Unsupervised Learning
    • Reinforcement Learning
    • Neural Networks
  • Natural Language Processing (NLP)
    • Text Analysis
    • Chatbot Security
    • Sentimental Analysis
    • Natural Language Generation (NLG)
    • Named Entity Recognition (NER)
    • Natural Language Understanding (NLU)
  • Context-Aware Computing
    • Automated Threat Intelligence
    • Threat Hunting
    • Automation & Orchestration
    • Security Orchestration Automation & Response (SOAR)
    • Robotic Process Automation (RPA)
  • Context-Aware Computing
    • Image Recognition
    • Object Detection
    • Anomaly Detection
    • Video analysis
    • Facial Recognition
    • Security Surveillance Optimization

Artificial Intelligence (AI) in Cybersecurity Market by Application

  • Market Overview
  • Identity & Access Management
  • Risk & Compliance Management
  • Data Loss Prevention
  • Unified Threat Management
  • Fraud Detection
  • Security & Vulnerability Management
  • Intrusion Detection/Prevention System
  • Others

Artificial Intelligence (AI) in Cybersecurity Market by Organization size

  • Market Overview
  • SMEs
  • Large Enterprise

Artificial Intelligence (AI) in Cybersecurity Market by Vertical

  • Market Overview
  • BFSI
  • IT & Telecom
  • Government & Defense
  • Manufacturing
  • Retail & eCommerce
  • Media & Entertainment
  • Automative
  • Others

Artificial Intelligence (AI) in Cybersecurity Market Size by Region

  • Market Overview
  • North America
    • USA
    • Canada
  • Europe
    • Germany
    • Spain
    • France
    • UK
    • Italy
    • Rest of Europe
  • Asia Pacific
    • China
    • India
    • Japan
    • South Korea
    • Rest of Asia-Pacific
  • Latin America
    • Brazil
    • Rest of Latin America
  • Middle East & Africa (MEA)
    • GCC Countries
    • South Africa
    • Rest of MEA

Competitive Landscape

  • Top 5 Player Comparison
  • Market Positioning of Key Players, 2023
  • Strategies Adopted by Key Market Players
  • Recent Activities in the Market
  • Key Companies Market Share (%), 2023

Key Company Profiles

  • NVIDIA Corporation
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Intel Corporation
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Xilinx Inc.
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Samsung Electronics Co Ltd
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Micron Technology Inc.
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Amazon Web Services, Inc.
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • IBM Corporation
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Microsoft Corporation
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • FireEye, Inc.
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Palo Alto Networks, Inc.
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Juniper Networks, Inc.
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Fortinet, Inc.
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Cisco Systems, Inc.
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Check Point Software Technologies Ltd.
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Imperva
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • McAfee LLC
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • LogRhythm, Inc.
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Sophos Ltd.
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • NortonLifeLock Inc.
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Crowdstrike Holdings, Inc.
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments