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市场调查报告书
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1880553

人工智慧驱动的网路安全市场预测至2032年：全球分析（按产品、安全类型、技术、应用、最终用户和地区划分）

AI-Powered Cybersecurity Market Forecasts to 2032 - Global Analysis By Offering (Hardware, Software and Services), Security Type, Technology, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3个工作天内

价格

根据 Stratistics MRC 的一项研究，预计到 2025 年，全球人工智慧驱动的网路安全市场价值将达到 315.3 亿美元，到 2032 年将达到 1,453.9 亿美元，在预测期内的复合年增长率为 24.4%。

人工智慧驱动的网路安全引入了先进技术，透过智慧自动化和预测分析来保护数位环境。人工智慧系统利用机器学习模型、神经网路和模式识别技术，能够即时识别威胁并在可疑活动升级之前做出回应。这些技术不断发展，并从历史数据和即时数据中学习，以应对包括恶意软体、社交工程和零日漏洞在内的复杂攻击，并发现异常行为。自动化安全工作流程提高了准确性并减少了人工干预，帮助安全团队专注于真正重要的事项。透过支援自适应的、数据驱动的防御策略，人工智慧增强了整体网路韧性，并确保为现代互联繫统提供强大而主动的保护。

根据IDC受Fortinet委託进行的2025年数​​据，印度94%的组织已在保全行动中部署人工智慧，用于侦测、回应和预测威胁。调查也显示，72%的组织在过去一年中遭受人工智慧驱动的网路攻击，攻击数量增加了2-3倍。

现代网路威胁日益复杂

推动人工智慧网路安全市场发展的关键因素在于网路威胁变得日益复杂多元。网路犯罪分子如今使用复杂的恶意软体、可变形的勒索软体、进阶网路钓鱼以及利用未知漏洞来规避传统防御手段。这种转变需要更智慧的防护，而人工智慧透过即时威胁监控、模式识别和预测性威胁预报来满足这一需求。透过不断从庞大且不断演变的资料集中学习，人工智慧甚至可以在攻击出现之前就预测到攻击途径。这种严峻的威胁环境迫使企业采用能够与攻击者同步演进并提供扩充性的预防性保护的人工智慧安全工具。

实施人工智慧安全相关的成本不断增加

高昂的部署和维修成本是人工智慧网路安全解决方案广泛应用的一大障碍。部署这些系统需要对先进的硬体、云端运算能力和复杂的人工智慧软体工具进行大量投资。除了初始设定外，企业还必须投入资金用于持续的模型训练、资料整理、系统调优以及聘请经验丰富的人员来运作和改进人工智慧安全基础设施。对于许多中小企业而言，这些成本难以承受，导致其采用率低。此外，将人工智慧技术整合到传统网路中会进一步增加实施难度和财务负担。因此，这种高昂的成本负担阻碍了人工智慧技术的广泛应用，并减缓了整体市场成长。

预测性网路风险预测的兴起

预测性威胁情报的进步为人工智慧驱动的网路安全市场带来了重大机会。借助人工智慧，企业可以分析从威胁报告到活动模式等大量且多样化的资料集，从而检测出即将发生的攻击的细微预警讯号。这种前瞻性使安全团队能够及早发现漏洞、部署防御措施并防止安全漏洞的发生。随着攻击者不断演变其攻击策略，预测能力有助于企业领先于不断变化的风险。对预防性安全的日益重视正在推动对提供预测分析、威胁预测和风险评估模型的人工智慧平台的需求。随着预防性防御变得愈发重要，提供这些新世代功能的供应商将占据市场成长的有利地位。

依赖可靠的数据管道

对可靠、及时且全面的数据的依赖对基于人工智慧的网路安全构成重大威胁。人工智慧模型只有在可靠数据持续可用的情况下才能准确运作。当输入资料有限、不一致或过时时，侦测能力会减弱，误报和漏报的风险也会增加。在资料存取监管严格的行业中，人工智慧工具可能难以收集足够的资讯来充分发挥作用。此外，由于系统故障、人为错误或网路攻击导致的资料流中断会立即降低人工智慧的效能。这种对资料品质和连续性的强烈依赖威胁着人工智慧驱动的网路安全解决方案的稳定性和可靠性。

新冠疫情的影响

新冠疫情重塑了人工智慧驱动的网路安全市场，加速了人们对数位化的依赖，并因全球远距办公的激增而暴露出新的网路风险。勒索软体、社交工程诈骗和云端安全漏洞的激增促使各组织采用能够快速侦测和自动缓解的人工智慧驱动型防御系统。人工智慧工具对于监控远端终端、确保安全连线以及管理日益增加的安全警报至关重要。儘管一些公司最初推迟了技术投资，但持续存在的威胁环境强化了对智慧、可扩展网路安全平台的长期需求。因此，疫情凸显了利用人工智慧保护分散式数位基础设施并确保业务运作不间断、安全的重要性。

预计在预测期内，软体领域将占据最大的市场份额。

预计在预测期内，软体领域将占据最大的市场份额，因为它构成了智慧安全自动化和进阶威胁分析的核心。人工智慧增强型软体解决方案能够跨各种数位环境进行即时监控、行为分析和预测性威胁建模。这些解决方案与企业系统集成，更新迅速，易于扩充性，是现代安全框架的关键组成部分。这些工具透过不断学习新数据而持续发展，从而提高检测精度和回应效率。人工智慧驱动的软体平台凭藉其高度的适应性、远端系统管理和广泛的功能覆盖，提供全面的保护，使其成为整个市场中最突出的细分领域。

预计在预测期内，威胁情报领域将呈现最高的复合年增长率。

预计在预测期内，威胁情报领域将保持最高的成长率，因为它能够帮助企业了解不断演变的威胁并在攻击发生前采取行动。人工智慧驱动的威胁情报工具可以处理大量且多样化的资料流，侦测异常行为，并以极高的准确度提供可操作的洞察。其预测能力使安全团队能够识别新出现的漏洞并制定更强大的预防策略。随着网路犯罪分子的策略日益复杂多变，企业越来越多地采用基于人工智慧的情报解决方案来增强情境察觉并实现复杂分析任务的自动化。在包括云端平台和互联设备在内的现代数位生态系统中，对人工智慧驱动的威胁情报的需求不断增长，使其成为成长最快的领域。

比最大的地区

在整个预测期内，北美预计将占据最大的市场份额，这得益于其尖端的数位基础设施、广泛的网路安全意识以及对创新的大力投入。美国尤其以企业广泛采用人工智慧、政府支援以及众多领先的人工智慧和安全公司而闻名。成熟的政策、持续的网路威胁应对以及丰富的网路安全人才储备进一步巩固了这一优势。随着企业加速采用人工智慧进行即时威胁情报、云端风险缓解和自主防御，北美将继续引领全球人工智慧网路安全领域的趋势和不断增长的需求。

年复合成长率最高的地区

预计亚太地区在预测期内将实现最高的复合年增长率，这主要得益于广泛的数位化倡议、政府主导的人工智慧战略以及日益严峻的网路威胁。中国、印度、日本和韩国等主要经济体正积极投资人工智慧增强型安全技术，同时扩展其云端平台、边缘网路和5G/物联网基础设施。对智慧威胁情报、自动化回应和预测性风险管理日益增长的需求正在推动全部区域采用这些技术。这种快速成长的趋势凸显了亚太地区在全球人工智慧网路安全市场中最具活力和高成长潜力的地位。

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  • 公司概况
    • 对其他市场参与者（最多 3 家公司）进行全面分析
    • 主要参与者（最多3家公司）的SWOT分析
  • 区域细分
    • 根据客户要求，提供主要国家的市场估算、预测和复合年增长率（註：可行性需确认）。
  • 竞争基准化分析
    • 根据主要参与者的产品系列、地理覆盖范围和策略联盟基准化分析

目录

第一章执行摘要

第二章 前言

  • 概述
  • 相关利益者
  • 调查范围
  • 调查方法
    • 资料探勘
    • 数据分析
    • 数据检验
    • 研究途径
  • 研究材料
    • 原始研究资料
    • 次级研究资讯来源
    • 先决条件

第三章 市场趋势分析

  • 介绍
  • 司机
  • 抑制因素
  • 机会
  • 威胁
  • 技术分析
  • 应用分析
  • 终端用户分析
  • 新兴市场
  • 新冠疫情的影响

第四章 波特五力分析

  • 供应商的议价能力
  • 买方的议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争对手之间的竞争

5. 全球人工智慧赋能网路安全市场（依产品/服务划分）

  • 介绍
  • 硬体
  • 软体
  • 服务

6. 全球人工智慧赋能网路安全市场（依安全类型划分）

  • 介绍
  • 网路安全
  • 端点安全
  • 应用程式安全
  • 云端安全
  • 资料安全

7. 全球人工智慧驱动网路安全市场（依技术划分）

  • 介绍
  • 机器学习
  • 深度学习
  • 自然语言处理（NLP）
  • 情境感知计算

8. 全球人工智慧网路安全市场（按应用划分）

  • 介绍
  • 识别及存取管理 (IAM)
  • 预防资料外泄(DLP)
  • 统一威胁管理 (UTM)
  • 风险与合规管理
  • 威胁情报
  • 入侵侦测/防御系统
  • 诈骗侦测与应对措施

9. 全球人工智慧驱动网路安全市场（按最终用户划分）

  • 介绍
  • BFSI
  • 卫生保健
  • 政府/国防
  • 零售业
  • 汽车与运输
  • 资讯科技/通讯
  • 能源与公共产业

第十章：全球人工智慧网路安全市场（按地区划分）

  • 介绍
  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 亚太其他地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 其他南美洲
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲地区

第十一章：重大进展

  • 协议、伙伴关係、合作和合资企业
  • 收购与併购
  • 新产品上市
  • 业务拓展
  • 其他关键策略

第十二章 企业概况

  • CrowdStrike
  • Cybereason
  • SparkCognition
  • Tessian
  • Palo Alto Networks
  • Check Point Software Technologies
  • Darktrace
  • Fortinet
  • SentinelOne
  • Wiz
  • Varonis
  • IBM Corporation
  • Cisco SecureX
  • Microsoft Defender
  • Proofpoint
Product Code: SMRC32533

According to Stratistics MRC, the Global AI-Powered Cybersecurity Market is accounted for $31.53 billion in 2025 and is expected to reach $145.39 billion by 2032 growing at a CAGR of 24.4% during the forecast period. AI-powered cybersecurity introduces an advanced approach to safeguarding digital environments through intelligent automation and predictive analytics. Leveraging machine learning models, neural networks, and pattern recognition, AI systems identify threats instantly and respond to suspicious activities before they escalate. These technologies evolve constantly, learning from historical and real-time data to uncover irregular behaviors and counter complex attacks, including malware, social engineering, and zero-day vulnerabilities. Automated security workflows improve precision and reduce manual intervention, empowering security teams to focus on critical challenges. By enabling adaptive, data-driven defense strategies, AI enhances overall cyber resilience and ensures robust, proactive protection for modern interconnected systems.

According to IDC data (commissioned by Fortinet, 2025), 94% of organizations in India are already deploying AI in cybersecurity operations to detect, respond to, and predict threats. The same survey found that 72% of organizations faced AI-powered cyberattacks in the past year, with attack volumes increasing two- to three-fold.

Market Dynamics:

Driver:

Rising complexity of modern cyber threats

A key factor driving the AI-powered cybersecurity market is how cyber threats have become far more advanced and varied. Cybercriminals now use complex malware, shape-shifting ransomware, sophisticated phishing, and previously unknown exploits that evade older defenses. This transformation demands more intelligent protection, and AI meets that need with live threat monitoring, pattern recognition, and predictive threat forecasting. By constantly training on massive and evolving datasets, AI can forecast potential attack vectors before they emerge. Such an aggressive threat landscape compels companies to deploy AI-based security tools that evolve with attackers and offer scalable, proactive protection.

Restraint:

Rising cost burden of AI security deployment

High deployment and maintenance expenses act as a major barrier to the expansion of AI-powered cybersecurity solutions. Implementing these systems requires considerable investment in advanced hardware, cloud computing capacity, and sophisticated AI software tools. Beyond initial setup, companies must fund ongoing model training, data curation, system calibration, and experienced staff to operate and refine AI-enabled security infrastructures. For many small and mid-sized organizations, such costs are difficult to accommodate, reducing adoption rates. Integrating AI technologies into outdated networks also increases implementation challenges and financial strain. As a result, the substantial cost burden restricts broad adoption and slows overall market growth.

Opportunity:

Rise of predictive cyber risk forecasting

Predictive threat intelligence advancements represent a major opportunity within the AI-based cybersecurity market. Using AI, enterprises can examine vast, diverse datasets-ranging from threat reports to activity patterns-to detect subtle warning signs of upcoming attacks. This foresight allows security teams to address vulnerabilities early, deploy protective measures, and prevent breaches. With attackers constantly refining tactics, predictive capabilities help organizations stay ahead of evolving risks. The growing interest in anticipatory security fuels demand for AI platforms that offer predictive analytics, threat forecasting, and risk-ranking models. As proactive defense becomes crucial, vendors providing such next-generation capabilities are positioned for strong market growth.

Threat:

Dependence on reliable data pipelines

The reliance on robust, timely, and comprehensive data poses a substantial threat to AI-based cybersecurity. AI models can only perform accurately when reliable data is consistently available. If input data is limited, inconsistent, or outdated, detection capabilities weaken, increasing the likelihood of mistakes or overlooked threats. In industries with strict data-access rules, AI tools may struggle to gather enough information to operate fully. Additionally, interruptions in data flow-whether due to system failures, human error, or cyberattacks-can immediately reduce AI effectiveness. This strong dependence on data quality and continuity jeopardizes the stability and trustworthiness of AI-powered cybersecurity solutions.

Covid-19 Impact:

COVID-19 reshaped the AI-powered cybersecurity market by accelerating digital dependency and exposing new cyber risks as remote work surged worldwide. The sharp increase in ransomware, social-engineering scams, and cloud security breaches pushed organizations to adopt AI-driven defense systems capable of fast detection and automated mitigation. AI tools became essential for monitoring remote endpoints, supporting secure connectivity, and managing the heightened volume of security alerts. Although some companies initially delayed technology spending, the persistent threat environment strengthened long-term demand for intelligent, scalable cybersecurity platforms. Ultimately, the pandemic highlighted the necessity of AI in safeguarding dispersed digital infrastructures and ensuring uninterrupted, secure business operations.

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

The software segment is expected to account for the largest market share during the forecast period because it forms the core of intelligent security automation and advanced threat analysis. AI-enhanced software solutions enable real-time monitoring, behavioral analytics, and predictive threat modeling across diverse digital environments. Their ability to integrate with enterprise systems, update rapidly, and scale effortlessly makes them indispensable to modern security frameworks. These tools evolve continuously by learning from new data, improving detection accuracy and response efficiency. With strong adaptability, remote manageability, and wide functional coverage, AI-driven software platforms deliver comprehensive protection, establishing them as the segment with the most prominent presence in the overall market.

The threat intelligence segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the threat intelligence segment is predicted to witness the highest growth rate because it enables organizations to understand evolving threats and act before attacks occur. AI-powered threat intelligence tools process vast, diverse data streams, detect unusual behaviors, and deliver actionable insights with high precision. Their predictive capabilities empower security teams to identify emerging vulnerabilities and build stronger preventive strategies. As cybercriminal tactics become more dynamic, enterprises increasingly adopt AI-based intelligence solutions to enhance situational awareness and automate complex analysis tasks. With rising demand across modern digital ecosystems-including cloud platforms and connected devices-AI-driven threat intelligence continues to expand rapidly, making it the fastest-growing segment.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, owing to its state-of-the-art digital infrastructure, broad cybersecurity awareness, and generous investment in innovation. The U.S. stands out with widespread enterprise adoption, governmental backing, and a high density of major AI and security companies. Its mature policies, regular exposure to cyber threats, and plentiful cybersecurity talent further fuel this lead. As businesses increasingly harness AI for real-time threat intelligence, cloud risk mitigation, and self-governing defenses, North America continues to set the pace in shaping global trends and driving demand across the AI-cybersecurity sector.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, powered by its extensive digitalization efforts, government-backed AI strategies, and escalating cyber threats. Major economies such as China, India, Japan, and South Korea are pushing aggressively into AI-enhanced security as they scale up cloud platforms, edge networks, and 5G/IoT infrastructure. The growing need for intelligent threat intelligence, automated responses, and predictive risk management is driving widespread regional adoption. This rapid trajectory highlights Asia-Pacific as the most dynamic and high-growth region in the global AI cybersecurity market.

Key players in the market

Some of the key players in AI-Powered Cybersecurity Market include CrowdStrike, Cybereason, SparkCognition, Tessian, Palo Alto Networks, Check Point Software Technologies, Darktrace, Fortinet, SentinelOne, Wiz, Varonis, IBM Corporation, Cisco SecureX, Microsoft Defender and Proofpoint.

Key Developments:

In September 2025, CrowdStrike and Redington announce new distribution agreement to accelerate cybersecurity transformation across India. This partnership strengthens Redington's channel reach, expands CrowdStrike's regional channel ecosystem, and enables Redington's partner base of leading resellers to drive vendor consolidation and stop breaches with cybersecurity's leading platform for the AI era.

In August 2025, SentinelOne(R) announced it has signed a definitive agreement to acquire Prompt Security, a pioneer in securing AI in runtime, preventing AI-related data leakage and protecting intelligent agents. The deal is part of SentinelOne's strategy to extend its AI-native Singularity(TM) Platform to secure the rapidly growing use of generative (GenAI) and agentic AI in the workplace.

In May 2025, Proofpoint, Inc announced it has entered into a definitive agreement to acquire Hornetsecurity Group, a leading pan-European provider of AI-powered Microsoft 365 (M365) security, data protection, compliance, and security awareness services. The acquisition significantly enhances Proofpoint's ability to provide human-centric security to small and mid-sized businesses (SMBs) globally through managed service providers (MSPs).

Offerings Covered:

  • Hardware
  • Software
  • Services

Security Types Covered:

  • Network Security
  • Endpoint Security
  • Application Security
  • Cloud Security
  • Data Security

Technologies Covered:

  • Machine Learning
  • Deep Learning
  • Natural Language Processing (NLP)
  • Context-Aware Computing

Applications Covered:

  • Identity & Access Management (IAM)
  • Data Loss Prevention (DLP)
  • Unified Threat Management (UTM)
  • Risk & Compliance Management
  • Threat Intelligence
  • Intrusion Detection/Prevention Systems
  • Fraud Detection & Anti-Fraud

End Users Covered:

  • BFSI
  • Healthcare
  • Government & Defense
  • Retail & Manufacturing
  • Automotive & Transportation
  • IT & Telecom
  • Energy & Utilities

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & 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 2024, 2025, 2026, 2028, and 2032
  • 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

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Technology Analysis
  • 3.7 Application Analysis
  • 3.8 End User Analysis
  • 3.9 Emerging Markets
  • 3.10 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global AI-Powered Cybersecurity Market, By Offering

  • 5.1 Introduction
  • 5.2 Hardware
  • 5.3 Software
  • 5.4 Services

6 Global AI-Powered Cybersecurity Market, By Security Type

  • 6.1 Introduction
  • 6.2 Network Security
  • 6.3 Endpoint Security
  • 6.4 Application Security
  • 6.5 Cloud Security
  • 6.6 Data Security

7 Global AI-Powered Cybersecurity Market, By Technology

  • 7.1 Introduction
  • 7.2 Machine Learning
  • 7.3 Deep Learning
  • 7.4 Natural Language Processing (NLP)
  • 7.5 Context-Aware Computing

8 Global AI-Powered Cybersecurity Market, By Application

  • 8.1 Introduction
  • 8.2 Identity & Access Management (IAM)
  • 8.3 Data Loss Prevention (DLP)
  • 8.4 Unified Threat Management (UTM)
  • 8.5 Risk & Compliance Management
  • 8.6 Threat Intelligence
  • 8.7 Intrusion Detection/Prevention Systems
  • 8.8 Fraud Detection & Anti-Fraud

9 Global AI-Powered Cybersecurity Market, By End User

  • 9.1 Introduction
  • 9.2 BFSI
  • 9.3 Healthcare
  • 9.4 Government & Defense
  • 9.5 Retail & Manufacturing
  • 9.6 Automotive & Transportation
  • 9.7 IT & Telecom
  • 9.8 Energy & Utilities

10 Global AI-Powered Cybersecurity Market, By Geography

  • 10.1 Introduction
  • 10.2 North America
    • 10.2.1 US
    • 10.2.2 Canada
    • 10.2.3 Mexico
  • 10.3 Europe
    • 10.3.1 Germany
    • 10.3.2 UK
    • 10.3.3 Italy
    • 10.3.4 France
    • 10.3.5 Spain
    • 10.3.6 Rest of Europe
  • 10.4 Asia Pacific
    • 10.4.1 Japan
    • 10.4.2 China
    • 10.4.3 India
    • 10.4.4 Australia
    • 10.4.5 New Zealand
    • 10.4.6 South Korea
    • 10.4.7 Rest of Asia Pacific
  • 10.5 South America
    • 10.5.1 Argentina
    • 10.5.2 Brazil
    • 10.5.3 Chile
    • 10.5.4 Rest of South America
  • 10.6 Middle East & Africa
    • 10.6.1 Saudi Arabia
    • 10.6.2 UAE
    • 10.6.3 Qatar
    • 10.6.4 South Africa
    • 10.6.5 Rest of Middle East & Africa

11 Key Developments

  • 11.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 11.2 Acquisitions & Mergers
  • 11.3 New Product Launch
  • 11.4 Expansions
  • 11.5 Other Key Strategies

12 Company Profiling

  • 12.1 CrowdStrike
  • 12.2 Cybereason
  • 12.3 SparkCognition
  • 12.4 Tessian
  • 12.5 Palo Alto Networks
  • 12.6 Check Point Software Technologies
  • 12.7 Darktrace
  • 12.8 Fortinet
  • 12.9 SentinelOne
  • 12.10 Wiz
  • 12.11 Varonis
  • 12.12 IBM Corporation
  • 12.13 Cisco SecureX
  • 12.14 Microsoft Defender
  • 12.15 Proofpoint

List of Tables

  • Table 1 Global AI-Powered Cybersecurity Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global AI-Powered Cybersecurity Market Outlook, By Offering (2024-2032) ($MN)
  • Table 3 Global AI-Powered Cybersecurity Market Outlook, By Hardware (2024-2032) ($MN)
  • Table 4 Global AI-Powered Cybersecurity Market Outlook, By Software (2024-2032) ($MN)
  • Table 5 Global AI-Powered Cybersecurity Market Outlook, By Services (2024-2032) ($MN)
  • Table 6 Global AI-Powered Cybersecurity Market Outlook, By Security Type (2024-2032) ($MN)
  • Table 7 Global AI-Powered Cybersecurity Market Outlook, By Network Security (2024-2032) ($MN)
  • Table 8 Global AI-Powered Cybersecurity Market Outlook, By Endpoint Security (2024-2032) ($MN)
  • Table 9 Global AI-Powered Cybersecurity Market Outlook, By Application Security (2024-2032) ($MN)
  • Table 10 Global AI-Powered Cybersecurity Market Outlook, By Cloud Security (2024-2032) ($MN)
  • Table 11 Global AI-Powered Cybersecurity Market Outlook, By Data Security (2024-2032) ($MN)
  • Table 12 Global AI-Powered Cybersecurity Market Outlook, By Technology (2024-2032) ($MN)
  • Table 13 Global AI-Powered Cybersecurity Market Outlook, By Machine Learning (2024-2032) ($MN)
  • Table 14 Global AI-Powered Cybersecurity Market Outlook, By Deep Learning (2024-2032) ($MN)
  • Table 15 Global AI-Powered Cybersecurity Market Outlook, By Natural Language Processing (NLP) (2024-2032) ($MN)
  • Table 16 Global AI-Powered Cybersecurity Market Outlook, By Context-Aware Computing (2024-2032) ($MN)
  • Table 17 Global AI-Powered Cybersecurity Market Outlook, By Application (2024-2032) ($MN)
  • Table 18 Global AI-Powered Cybersecurity Market Outlook, By Identity & Access Management (IAM) (2024-2032) ($MN)
  • Table 19 Global AI-Powered Cybersecurity Market Outlook, By Data Loss Prevention (DLP) (2024-2032) ($MN)
  • Table 20 Global AI-Powered Cybersecurity Market Outlook, By Unified Threat Management (UTM) (2024-2032) ($MN)
  • Table 21 Global AI-Powered Cybersecurity Market Outlook, By Risk & Compliance Management (2024-2032) ($MN)
  • Table 22 Global AI-Powered Cybersecurity Market Outlook, By Threat Intelligence (2024-2032) ($MN)
  • Table 23 Global AI-Powered Cybersecurity Market Outlook, By Intrusion Detection/Prevention Systems (2024-2032) ($MN)
  • Table 24 Global AI-Powered Cybersecurity Market Outlook, By Fraud Detection & Anti-Fraud (2024-2032) ($MN)
  • Table 25 Global AI-Powered Cybersecurity Market Outlook, By End User (2024-2032) ($MN)
  • Table 26 Global AI-Powered Cybersecurity Market Outlook, By BFSI (2024-2032) ($MN)
  • Table 27 Global AI-Powered Cybersecurity Market Outlook, By Healthcare (2024-2032) ($MN)
  • Table 28 Global AI-Powered Cybersecurity Market Outlook, By Government & Defense (2024-2032) ($MN)
  • Table 29 Global AI-Powered Cybersecurity Market Outlook, By Retail & Manufacturing (2024-2032) ($MN)
  • Table 30 Global AI-Powered Cybersecurity Market Outlook, By Automotive & Transportation (2024-2032) ($MN)
  • Table 31 Global AI-Powered Cybersecurity Market Outlook, By IT & Telecom (2024-2032) ($MN)
  • Table 32 Global AI-Powered Cybersecurity Market Outlook, By Energy & Utilities (2024-2032) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.