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市场调查报告书
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1604512

人工智慧网路安全市场：未来预测（2024-2029）

AI Cyber Security Market - Forecasts from 2024 to 2029
出版日期: | 出版商: Knowledge Sourcing Intelligence | 英文 141 Pages | 商品交期: 最快1-2个工作天内

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简介目录

人工智慧网路安全市场预计将以24.56%的复合年增长率成长，到2029年市场规模将从2024年的381.42亿美元达到868.29亿美元。

人工智慧（AI）网路安全一词是指利用人工智慧技术和机器学习能力来增强网路、数位系统和资料的安全性，使其免受网路威胁。具体来说，我们使用人工智慧演算法来识别、预防和应对各种形式的网路攻击、爆发和安全漏洞。

人工智慧网路安全整合威胁情报流和资料库，以增强安全层和决策流程。人工智慧系统透过收集和处理来自多种管道（包括开源情报、暗网扫描和安全研究）的威胁资料，然后快速提供有关威胁和攻击模式的信息，越来越多地帮助这些组织。 CEB Header 使用人工智慧和机器学习来评估用户行为，并可以追踪威胁、帐户洩漏和用户的奇怪入侵尝试。然而，使用者行为分析系统将使用者行为资料与其他相关背景/相关因素（例如风险）结合，并侦测异常行为，以推断安全威胁或其他诈欺活动的可能性。

面对当今高度复杂、动态的威胁，人工智慧网路安全可以保护组织免受网路攻击的负面影响，提高威胁侦测和回应的效率，并提高整体安全水准。透过利用人工智慧技术，组织可以加强防御并降低入侵电脑系统和资料造成的损失成本。

人工智慧网路安全市场的驱动因素

  • 网路威胁的增加推动人工智慧网路安全市场的成长

随着网路攻击的加剧，网路犯罪的发生率也在不断变化。因此，近年来对先进网路安全的需求不断增加，例如使用人工智慧来检测和防止入侵的系统。根据内政部统计，2020年1月1日至2022年12月7日，印度收到超过16,000起网路犯罪申诉，并已提交超过32,000份FIR。

网路攻击风险的不断上升凸显了对新的、有效的网路安全系统的需求，该系统可以持续检测线上威胁、遏制威胁以及随威胁而发展的防御机制。由人工智慧技术支援的网路安全解决方案正在帮助组织快速检测和回应新出现的网路威胁。因此，您可以最大限度地降低风险并消除资料遗失和其他安全威胁的可能性。随着威胁情势的变化以及将网路安全视为业务风险管理的组织需要采用此类解决方案，对人工智慧网路安全解决方案的需求预计将会成长。

人工智慧网路安全市场的地理前景

  • 北美在预测期内将经历指数级增长

由于网路连接设备的激增以及物联网、5G 和 Wi-Fi 的使用不断增加，预计北美将占据人工智慧网路安全市场的很大一部分。

汽车、医疗保健、政府、能源和采矿业正在加速 5G 网路的部署，为骇客创造了潜在的网路基地台。该地区拥有许多专注于人工智慧的新兴企业研究机构。许多强大的产业参与者为基于人工智慧的网路安全系统的开发做出了重大贡献，包括 Anthropic、Adept AI、柏克莱人工智慧实验室、亚利桑那大学人工智慧实验室和 Wysa。

此外，各种政府计划、官民合作关係倡议和网路安全投资计划正在加强网路态势并保护基础设施免受此类攻击。该地区面临各种网路威胁，包括民族国家攻击、网路间谍、勒索软体攻击和围堵威胁。因此，对以威胁侦测、事件回应和风险缓解措施为目标的人工智慧网路安全解决方案的需求很高。

为什么要购买这份报告？

  • 富有洞察力的分析：获得涵盖主要和新兴地区的深入市场洞察，重点关注客户细分、政府政策和社会经济因素、消费者偏好、行业明智以及其他子区隔。
  • 竞争格局：了解世界主要企业采取的策略策略，并了解透过正确的策略渗透市场的潜力。
  • 市场驱动因素和未来趋势：探索动态因素和关键市场趋势以及它们将如何塑造未来市场发展。
  • 可行的建议：利用洞察力做出策略决策，以在动态环境中发现新的业务流和收益。
  • 受众广泛：对于新兴企业、研究机构、顾问、中小企业和大型企业有用且具有成本效益。

它有什么用？

产业与市场考量、商机评估、产品需求预测、打入市场策略、地理扩张、资本投资决策、法律规范与影响、新产品开发、竞争影响

分析范围

  • 历史资料与预测（2022-2029）
  • 成长机会、挑战、供应链前景、法规结构、顾客行为、趋势分析
  • 竞争对手定位、策略和市场占有率分析
  • 收益成长率与预测分析：按细分市场/地区（按国家）
  • 公司概况（策略、产品、财务资讯、主要趋势等）

人工智慧网路安全市场分为以下几个部分：

按用途

  • 检验/识别及存取管理
  • 诈欺侦测/网路钓鱼识别
  • 事件回应
  • 其他的

依部署方式

  • 云
  • 本地

按最终用户

  • 零售/电子商务
  • BFSI
  • 政府
  • 汽车/交通
  • 医疗保健
  • 其他的

按地区

  • 北美洲
  • 美国
  • 加拿大
  • 墨西哥
  • 南美洲
  • 巴西
  • 阿根廷
  • 其他的
  • 欧洲
  • 德国
  • 法国
  • 英国
  • 西班牙
  • 其他的
  • 中东/非洲
  • 沙乌地阿拉伯
  • 阿拉伯联合大公国 (UAE)
  • 以色列
  • 其他的
  • 亚太地区
  • 中国
  • 日本
  • 印度
  • 韩国
  • 印尼
  • 台湾
  • 其他的

目录

第一章简介

  • 市场概况
  • 市场定义
  • 分析范围
  • 市场区隔
  • 货币
  • 先决条件
  • 基准年和预测年时间表
  • 相关利益者的主要利益

第二章 分析方法

  • 分析设计
  • 分析过程

第三章执行摘要

  • 主要发现
  • CXO观点

第四章市场动态

  • 市场驱动因素
  • 市场限制因素
  • 波特五力分析
  • 产业价值链分析
  • 分析师观点

第五章人工智慧网路安全市场：按应用分类

  • 介绍
  • 检验/ 识别及存取管理
  • 诈骗侦测/网路钓鱼识别
  • 事件回应
  • 其他的

第六章 人工智慧网路安全市场：依部署方式

  • 介绍
  • 云
  • 本地

第七章 人工智慧网路安全市场：依最终用户划分

  • 介绍
  • 零售/电子商务
  • BFSI
  • 政府
  • 汽车/交通
  • 医疗保健
  • 其他的

第八章人工智慧网路安全市场：按地区

  • 介绍
  • 北美洲
    • 按用途
    • 依部署方式
    • 按最终用户
    • 按国家/地区
  • 南美洲
    • 按用途
    • 依部署方式
    • 按最终用户
    • 按国家/地区
  • 欧洲
    • 按用途
    • 依部署方式
    • 按最终用户
    • 按国家/地区
  • 中东/非洲
    • 按用途
    • 依部署方式
    • 按最终用户
    • 按国家/地区
  • 亚太地区
    • 按用途
    • 依部署方式
    • 按最终用户
    • 按国家/地区

第九章竞争环境及分析

  • 主要企业及策略分析
  • 市场占有率分析
  • 企业合併(M&A)、协议与合作
  • 竞争对手仪表板

第十章 公司简介

  • Darktrace
  • IBM
  • Vectra AI
  • CroudStrike
  • Fortinet
  • SentinelOne
  • Cylance AI (Blackberry)
  • Cynet
简介目录
Product Code: KSI061616661

The AI cyber security market is expected to grow at a CAGR of 24.56%, reaching a market size of US$86.829 billion in 2029 from US$38.142 billion in 2024.

The term artificial intelligence (AI) cyber security entails enhancing the security of networks, digital systems, and data from cyber threats using AI technology and machine learning capability. Specifically, it uses AI algorithms to identify, prevent, and counter various forms, including cyberattacks, outbreaks, and compromise of security, among others.

AI cyber security integrates threat intelligence streams and databases to enhance the security layer and decision-making processes. AI systems are increasingly helpful for these organizations by providing information about the threats and attack patterns promptly after collecting and processing data on threats from many channels such as OSINT, dark web scans, and security research. In-ceiling the ground with machines, CEB headers use AI and machine learning to evaluate user activities, hence being able to track down any threats posed by users, breaches of accounts, and strange entry attempts. However, user behavior analytics systems can integrate user behavior data and other relevant contextual/predicated factors, such as risk, to identify unusual behaviors estimating possible threats to the security or other wrongful activities.

In the face of contemporary threats, which are quite complicated and dynamic, AI cybersecurity protects organizations from the negative impacts of cyber-attacks, increases efficiency in threat detection and response, and improves overall security rounds. With the help of AI technologies, organizations can re-gear their defenses and lessen the damage costs occurring due to infiltration of their computer systems and data.

AI cyber security market drivers

  • Increasing cyber threat is fueling the AI cyber security market growth

As the rate of cyber invasions intensifies, so does the rate of evolution of the incidence of cybercrimes. Hence, in the last few years, there has been an ever-growing demand for advanced cyber security, with the likes of systems that detect and prevent intrusions using AI. The statistics provided by the Indian Ministry of Home Affairs stated that there have been more than 16 lakh cybercrime complaints which were received from January 01, 2020, to December 07, 2022, in India, as well as more than 32 thousand FIRs that were lodged during the above-mentioned period.

The escalating cyber-attack risk highlights the need for new effective cybersecurity systems capable of providing constant online threat detection, initiatives for online threat detainment, and defense mechanisms that can evolve with the threats. Cybersecurity solutions that utilize AI technologies are helping organizations to swiftly detect and respond to emerging cyber threats. Thus, it minimizes risks and eliminates the chances of data losses and other security threats. With the changes in the threat landscape, the need for AI cybersecurity solutions is expected to increase as organizations considering cybersecurity as a business risk management must incorporate such solutions.

AI cyber security market geographical outlook

  • North America is witnessing exponential growth during the forecast period

The North American region is expected to have a sizable proportion of the AI cyber security market due to the spike in network-connected devices and the rising use of the Internet of Things, 5G, and Wi-Fi.

Organizations in the automotive, healthcare, government, energy, and mining industries have accelerated 5G network deployment, creating a potential access point for hackers. This region is replete with numerous research institutions for startups focusing on AI. It is home to strong industry players like Anthropic, Adept AI, Berkeley AI research lab, University Of Arizona Artificial Intelligence Lab, Wysa, and so many others, which are making great contributions to the development of AI-based cybersecurity systems.

In addition, various government programs, initiatives of public-private partnerships, and investment projects in cybersecurity boost cyber posture and protect infrastructure against such attacks. This region is subject to various cyber threats: nation-state attacks, cyber espionage, ransomware attacks, enclosing threats, and even more. Hence, there is a high demand for such AI-powered cybersecurity solutions targeted at threat detection, incident response, and risk mitigation measures.

Reasons for buying this report:-

  • Insightful Analysis: Gain detailed market insights covering major as well as emerging geographical regions, focusing on customer segments, government policies and socio-economic factors, consumer preferences, industry verticals, other sub- segments.
  • Competitive Landscape: Understand the strategic maneuvers employed by key players globally to understand possible market penetration with the correct strategy.
  • Market Drivers & Future Trends: Explore the dynamic factors and pivotal market trends and how they will shape up future market developments.
  • Actionable Recommendations: Utilize the insights to exercise strategic decision to uncover new business streams and revenues in a dynamic environment.
  • Caters to a Wide Audience: Beneficial and cost-effective for startups, research institutions, consultants, SMEs, and large enterprises.

What do businesses use our reports for?

Industry and Market Insights, Opportunity Assessment, Product Demand Forecasting, Market Entry Strategy, Geographical Expansion, Capital Investment Decisions, Regulatory Framework & Implications, New Product Development, Competitive Intelligence

Report Coverage:

  • Historical data & forecasts from 2022 to 2029
  • Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, Customer Behaviour, and Trend Analysis
  • Competitive Positioning, Strategies, and Market Share Analysis
  • Revenue Growth and Forecast Assessment of segments and regions including countries
  • Company Profiling (Strategies, Products, Financial Information, and Key Developments among others)

The AI cyber security market is analyzed into the following segments:

By Application

  • Verification, Identity, and Access Management
  • Fraud Detection and Identifying Phishing
  • Incident Response
  • Others

By Deployment

  • Cloud
  • On-Premise

By End-User

  • Retail and E-commerce
  • BFSI
  • Government
  • Automotive and Transportation
  • Healthcare
  • Others

By Geography

  • North America
  • USA
  • Canada
  • Mexico
  • South America
  • Brazil
  • Argentina
  • Others
  • Europe
  • Germany
  • France
  • UK
  • Spain
  • Others
  • Middle East and Africa
  • Saudi Arabia
  • UAE
  • Israel
  • Others
  • Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Indonesia
  • Taiwan
  • Others

TABLE OF CONTENTS

1. INTRODUCTION

  • 1.1. Market Overview
  • 1.2. Market Definition
  • 1.3. Scope of the Study
  • 1.4. Market Segmentation
  • 1.5. Currency
  • 1.6. Assumptions
  • 1.7. Base and Forecast Years Timeline
  • 1.8. Key Benefits to the Stakeholder

2. RESEARCH METHODOLOGY

  • 2.1. Research Design
  • 2.2. Research Processes

3. EXECUTIVE SUMMARY

  • 3.1. Key Findings
  • 3.2. CXO Perspective

4. MARKET DYNAMICS

  • 4.1. Market Drivers
  • 4.2. Market Restraints
  • 4.3. Porter's Five Forces Analysis
    • 4.3.1. Bargaining Power of Suppliers
    • 4.3.2. Bargaining Power of Buyers
    • 4.3.3. Threat of New Entrants
    • 4.3.4. Threat of Substitutes
    • 4.3.5. Competitive Rivalry in the Industry
  • 4.4. Industry Value Chain Analysis
  • 4.5. Analyst View

5. AI CYBER SECURITY MARKET BY APPLICATION

  • 5.1. Introduction
  • 5.2. Verification, Identity, and Access Management
  • 5.3. Fraud Detection and Identifying Phishing
  • 5.4. Incident Response
  • 5.5. Others

6. AI CYBER SECURITY MARKET BY DEPLOYMENT

  • 6.1. Introduction
  • 6.2. Cloud
  • 6.3. On-Premise

7. AI CYBER SECURITY MARKET BY END-USER

  • 7.1. Introduction
  • 7.2. Retail and E-commerce
  • 7.3. BFSI
  • 7.4. Government
  • 7.5. Automotive and Transportation
  • 7.6. Healthcare
  • 7.7. Others

8. AI CYBER SECURITY MARKET BY GEOGRAPHY

  • 8.1. Introduction
  • 8.2. North America
    • 8.2.1. By Application
    • 8.2.2. By Deployment
    • 8.2.3. By End-User
    • 8.2.4. By Country
      • 8.2.4.1. USA
      • 8.2.4.2. Canada
      • 8.2.4.3. Mexico
  • 8.3. South America
    • 8.3.1. By Application
    • 8.3.2. By Deployment
    • 8.3.3. By End-User
    • 8.3.4. By Country
      • 8.3.4.1. Brazil
      • 8.3.4.2. Argentina
      • 8.3.4.3. Others
  • 8.4. Europe
    • 8.4.1. By Application
    • 8.4.2. By Deployment
    • 8.4.3. By End-User
    • 8.4.4. By Country
      • 8.4.4.1. Germany
      • 8.4.4.2. France
      • 8.4.4.3. UK
      • 8.4.4.4. Spain
      • 8.4.4.5. Others
  • 8.5. Middle East and Africa
    • 8.5.1. By Application
    • 8.5.2. By Deployment
    • 8.5.3. By End-User
    • 8.5.4. By Country
      • 8.5.4.1. Saudi Arabia
      • 8.5.4.2. UAE
      • 8.5.4.3. Others
  • 8.6. Asia Pacific
    • 8.6.1. By Application
    • 8.6.2. By Deployment
    • 8.6.3. By End-User
    • 8.6.4. By Country
      • 8.6.4.1. China
      • 8.6.4.2. Japan
      • 8.6.4.3. India
      • 8.6.4.4. South Korea
      • 8.6.4.5. Indonesia
      • 8.6.4.6. Taiwan
      • 8.6.4.7. Others

9. COMPETITIVE ENVIRONMENT AND ANALYSIS

  • 9.1. Major Players and Strategy Analysis
  • 9.2. Market Share Analysis
  • 9.3. Mergers, Acquisitions, Agreements, and Collaborations
  • 9.4. Competitive Dashboard

10. COMPANY PROFILES

  • 10.1. Darktrace
  • 10.2. IBM
  • 10.3. Vectra AI
  • 10.4. CroudStrike
  • 10.5. Fortinet
  • 10.6. SentinelOne
  • 10.7. Cylance AI (Blackberry)
  • 10.8. Cynet