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市场调查报告书
商品编码
1504879

网路安全人工智慧市场规模、份额和成长分析：按组件、按安全类型、按技术、按应用、按组织规模、按行业、按地区 - 行业预测，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个工作天内

价格
简介目录

2022年网路安全人工智慧市场规模为183.6亿美元，预计将从2023年的224.9亿美元增长到2031年的1143亿美元，并预计将从2023年的224.9亿美元增长到2031年的1143亿美元。到2031年（~2031年）预计将以22.53%的复合年增长率成长。

人工智慧在网路安全中发挥着至关重要的作用，成为在日益复杂的网路威胁中保护数位资产的强大工具。人工智慧技术透过增强威胁侦测和管理的主动方法正在彻底改变传统的网路安全实践。透过利用机器学习和预测分析，人工智慧可以即时筛选大量资料集并自动识别异常和潜在漏洞。此功能不仅改善了威胁侦测，还允许企业主动降低风险，减少潜在的财务损失和资料外洩。将人工智慧整合到网路安全业务中可以简化事件回应并最大程度地减少业务中断和声誉损害。随着人工智慧主导的解决方案不断发展，它们的采用在各个行业中变得至关重要，推动网路防御策略的持续创新，并增强针对不断变化的威胁的数位弹性。

目录

介绍

  • 这项研究的目的
  • 定义
  • 市场范围

调查方法

  • 资讯采购
  • 二手资料来源和主要资料来源
  • 市场规模预测
  • 市场假设与限制

执行摘要

  • 市场概况展望
  • 供需趋势分析
  • 按细分市场的机会分析

市场动态及展望

  • 市场动态
    • 促进因素
    • 机会
    • 抑制因素
    • 任务
  • 波特的分析

主要市场考察

  • 技术分析
  • 专利分析
  • 案例研究分析
  • 贸易分析
  • 价值链分析
  • 价格分析
  • 市场生态系统
  • Start-Ups分析
  • 监管环境
  • 创新矩阵
  • 主要投资分析
  • 关键成功因素
  • 竞争程度

网路安全人工智慧市场：按组成部分

  • 市场概况
  • 硬体
    • 加速器
    • 处理器
    • 微处理器 (MPU)
    • 图形处理单元（GPU）
    • 现场可程式闸阵列(FPGA)
    • 专用积体电路 (ASIC)
    • 张量处理单元 (TPU)
    • 贮存
    • 网路
  • 软体/平台
    • 独立的
    • 一体化
  • 服务
    • 专业服务
    • 咨询服务
    • 部署与集成
    • 支援与维护
    • 管理服务

网路安全人工智慧市场：按安全类型

  • 市场概况
  • 基础设施安全
    • 网路安全
    • 端点安全
    • 云端安全
    • 其他的
  • 资料安全
  • 应用程式安全
  • 其他的

网路安全人工智慧市场：依技术分类

  • 市场概况
  • 机器学习（ML）
    • 深度学习
    • 卷积类神经网路（CNN）
    • 循环神经网路 (RNN)
    • 人工智慧世代
    • 生成对抗网络
    • 变分自动编码器
    • 变革性人工智慧
    • 其他的
    • 监督学习
    • 无监督学习
    • 强化学习
    • 神经网路
  • 自然语言处理（NLP）
    • 文字分析
    • 聊天机器人安全
    • 情绪分析
    • 自然语言生成（NLG）
    • 命名实体识别 (NER)
    • 自然语言理解（NLU）
  • 上下文感知计算
    • 自动化威胁情报
    • 威胁狩猎
    • 自动化和编配
    • 安全编配回应 (SOAR)
    • 机器人流程自动化 (RPA)
  • 上下文感知计算
    • 影像识别
    • 物体侦测
    • 异常检测
    • 影片分析
    • 脸部辨识
    • 优化安全监控

网路安全人工智慧市场：按应用分类

  • 市场概况
  • 身分和存取管理
  • 风险与合规管理
  • 预防资料外泄
  • 统一威胁管理
  • 诈欺识别
  • 安全/漏洞管理
  • 入侵侦测/预防系统
  • 其他的

网路安全人工智慧市场：按组织规模划分

  • 市场概况
  • 中小企业
  • 大公司

网路安全人工智慧市场：按行业分类

  • 市场概况
  • BFSI
  • 资讯科技/通讯
  • 政府/国防
  • 製造业
  • 零售/电子商务
  • 媒体娱乐
  • 车
  • 其他的

网路安全人工智慧市场：按地区

  • 市场概况
  • 北美洲
    • 美国
    • 加拿大
  • 欧洲
    • 德国
    • 西班牙
    • 法国
    • 英国
    • 义大利
    • 其他欧洲国家地区
  • 亚太地区
    • 中国
    • 印度
    • 日本
    • 韩国
    • 其他亚太地区
  • 拉丁美洲
    • 巴西
    • 其他拉丁美洲地区
  • 中东和非洲 (MEA)
    • 海湾合作委员会国家
    • 南非
    • 其他中东/非洲地区

竞争格局

  • 前5名企业对比
  • 主要企业市场定位（2023年）
  • 主要市场参与者所采取的策略
  • 近期市集活动
  • 主要企业市场占有率（2023年）

主要企业简介

  • 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.
简介目录
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