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市场调查报告书
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1843562

2025年全球网路安全人工智慧市场报告

AI In Cybersecurity Global Market Report 2025

出版日期: | 出版商: The Business Research Company | 英文 250 Pages | 商品交期: 2-10个工作天内

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近年来,人工智慧在网路安全领域的市场规模呈指数级增长,从2024年的246.7亿美元增长到2025年的306.8亿美元,复合年增长率达24.4%。这一增长可归因于人工智慧已被证实的有效性、预测分析的兴起、巨量资料的使用、不断演变的网路安全情势以及人工智慧技术的早期应用。

预计未来几年,网路安全领域的人工智慧市场将呈指数级增长,到2029年市场规模将达到818.9亿美元,复合年增长率(CAGR)为27.8%。预测期内的成长可归因于网路威胁日益复杂化、物联网设备日益普及、对即时威胁侦测的需求不断增长、向云端基础安全转型以及网路安全技能缺口。预测期内的关键趋势包括:人工智慧在终端安全、威胁情报和资讯共用、人工智慧驱动的事件回应以及人工智慧驱动的身份验证、预测和先发製人措施中的应用。

网路安全领域的人工智慧是指应用人工智慧技术和方法来增强和加强网路安全措施,这意味着分析组织资讯系统中的大量风险资料和危险之间的联繫,以便更有效率、更有效地侦测、预防和应对威胁和攻击。

网路安全领域的人工智慧主要涵盖硬体、软体和服务。硬体包括伺服器、路由器、防火墙和其他网路元件等实体设备,用于保护和管理组织网路基础设施内的资料流。基于人工智慧的网路安全部署在笔记型电脑、桌上型电脑和行动电话等终端设备上,这些设备需要抵御网路威胁。关键技术包括机器学习、自然语言处理 (NLP) 和情境感知运算,可提供多种安全类型,包括网路安全、终端安全、应用程式安全和云端安全。应用领域包括身分和存取管理、风险和合规性管理、预防资料外泄、统一威胁管理、安全性和漏洞管理、防毒或反恶意软体、诈骗侦测或诈骗、入侵侦测或预防系统以及威胁情报。各行各业都在使用人工智慧进行网路安全防护,包括银行、金融服务和保险 (BFSI)、零售、製造、基础设施、企业、医疗保健、汽车和交通运输、政府和国防等行业。

2025年春季,美国关税的大幅上涨及其引发的贸易摩擦对资讯科技产业,尤其是硬体製造、资料基础设施和软体部署领域,产生了重大影响。进口半导体、电路基板和网路设备的关税提高,并推高了高科技公司、云端服务供应商和资料中心的生产和营运成本。在全球范围内采购笔记型电脑、伺服器和消费电子产品的公司面临更长的前置作业时间和价格压力。同时,对专用软体征收的关税以及主要国际市场的报復性措施,扰乱了全球IT供应链,并降低了海外对美国製造技术的需求。为了应对这些挑战,该行业正在加大对国内晶片生产的投资,扩大供应商网络,并利用人工智慧驱动的自动化技术来增强韧性并简化成本管理。

这份网路安全人工智慧市场研究报告是商业研究公司最新报告系列的一部分,提供网路安全人工智慧市场统计数据,例如全球网路安全人工智慧产业的市场规模、区域份额、市场份额及竞争对手、详细的市场细分、市场趋势和商业机会等。这份网路安全人工智慧市场研究报告对该行业的现状和未来发展趋势进行了详细分析,为您提供所需的一切全面观点。

未来五年27.8%的成长率预测较我们先前的预测略微下调了0.2%。这一下调主要归因于美国与其他国家之间的关税影响。这可能会直接影响美国,扰乱威胁侦测系统专用人工智慧晶片的供应,而这些晶片主要来自台湾和韩国,从而可能削弱美国的网路安全防御能力。此外,由于相互关税措施以及贸易紧张局势和限制加剧对全球经济和贸易的负面影响,其影响范围也将更加广泛。

网路安全领域人工智慧市场的成长预计将受到网路犯罪日益猖獗的推动。网路犯罪是指恶意利用电脑、网路或数位装置实施非法活动,例如资料窃盗、系统破坏和诈骗,目前正经历显着的激增。人工智慧正被用于应对这一日益严重的威胁,它提供先进的安全解决方案,能够即时快速地检测、分析和回应网路威胁。此外,人工智慧还能过滤掉非威胁性活动,进而帮助减少误报。 2022年,美国联邦调查局报告称,投资诈骗申诉数量显着增加,涉案金额达到33.1亿美元,较2021年的14.5亿美元增长了127%。其中,加密货币投资诈骗增幅尤为惊人,高达183%,从2021年的9.07亿美元跃升至2022年的25.7亿美元。因此,网路犯罪的增加正在推动人工智慧在网路安全市场的发展。

人工智慧在网路安全领域的成长预计将受到物联网设备日益普及的推动。物联网设备的激增导致潜在网路威胁的攻击面不断扩大。随着越来越多的设备接取网络,网路犯罪分子可利用的入口点也随之增加。人工智慧在网路安全领域发挥关键作用,它能够持续监控和分析这些设备产生的大量数据,从而识别异常模式和潜在的安全威胁。例如,根据塞尔维亚网路安全解决方案公司Dataprot的数据显示,2021年全球活跃的物联网设备超过100亿台,预计到2030年这一数字将成长至254亿台。因此,物联网设备的激增是推动人工智慧在网路安全领域市场扩张的重要因素。

为了维持产业竞争优势,人工智慧网路安全市场的主要企业正积极开发创新的企业安全解决方案。企业安全涵盖一系列全面的措施和策略,旨在保护企业的资讯、资产、技术和营运免受各种威胁和风险的侵害。总部位于美国的网路安全公司 SentinelOne 的倡议便是这一趋势的例证。 2023 年 4 月,SentinelOne 推出了一款利用生成式人工智慧和强化学习技术的尖端威胁狩猎平台。该平台整合了即时神经网路和基于语言模型的自然语言介面,使用户能够利用人工智慧管理和监控安全数据,即时获取洞察,并无缝采取必要的行动。透过聚合来自不同来源的信息,该平台无需任何程式设计技能即可推荐并执行回应措施。 SentinelOne 的目标是协助企业扩展网路安全营运规模,领先于不断演变的威胁,并为未来建立坚实的防御基础。

网路安全人工智慧市场的领先企业正在部署基于人工智慧的产品,例如人工智慧网路安全助手,以获得竞争优势。人工智慧助理是一种利用人工智慧技术执行任务、提供资讯并协助使用者进行各种活动的电脑程式或应用程式。例如,总部位于加拿大的软体公司 BlackBerry Ltd. 于 2023 年 10 月发布了一款专为安全营运中心 (SOC) 团队设计的生成式人工智慧助理。这款企业级解决方案可作为 SOC 分析师,提供高阶网路威胁分析和支持,从而增强首席资讯安全(CISO) 的工作效率。该助手利用私有的大规模语言模型 (LLM) 来确保准确性和资料隐私,并可无缝整合到 Cylance 控制台中,提供超越传统聊天机器人体验的自然工作流程。该助手专为 BlackBerry 的 Cylance AI 客户定制,能够预测用户需求并主动提供信息,从而简化 SOC 运营,应对不断演变的威胁形势和安全负责人面临的资源限制等挑战。

2024年9月,美国支付处理公司万事达卡宣布将以26.5亿美元收购Recorded Future。此举旨在利用Recorded Future先进的AI主导威胁情报能力,加强万事达卡的网路安全基础设施。透过整合这些解决方案,万事达卡旨在提升其有效识别和缓解网路威胁的能力。 Recorded Future以其创新的网路安全解决方案而闻名,这些解决方案提供即时威胁情报,帮助企业领先于潜在的安全风险。这项收购凸显了万事达卡致力于加强金融领域防御日益复杂的网路威胁的决心。

网路安全人工智慧市场的主要参与者包括:英伟达公司、英特尔公司、赛灵思公司、国际商业机器公司、亚马逊网路服务公司、微软公司、帕洛阿尔托网路公司、CrowdStrike控股公司、诺顿LifeLock公司、Cylance公司、FireEye公司、Check Point软体技术有限公司、Darktrace公司、McAfee公司、赛门铁克公司、Fortinet公司、思科系统公司、Splunk公司、Varonis系统公司、趋势科技公司、Sophos集团、Carbon Black公司、Dragos公司、Zscaler公司、Cyber​​Ark软体有限公司、Lookout公司、Dragos公司、Zscaler公司、Cyber​​Ark软体有限公司、Lookout、XM Cyber​​​​ius公司。

2024年,北美是网路安全人工智慧市场最大的区域。全球网路安全人工智慧市场报告预测,亚太地区将在预测期内成为成长最快的区域。该报告涵盖亚太地区、西欧、东欧、北美、南美以及中东和非洲。

网路安全人工智慧市场报告涵盖以下国家:澳洲、巴西、中国、法国、德国、印度、印尼、日本、俄罗斯、韩国、英国、美国、加拿大、义大利和西班牙。

网路安全领域的人工智慧市场由各营业单位透过人工智慧安全、人工智慧培训、教育、人工智慧使用者行为建模以及自动化人工安全流程所产生的收入所构成。市场价值还包括服务供应商销售的或包含在其服务产品中的相关商品的价值。网路安全领域的人工智慧市场还包括电脑、电脑周边设备和通讯的销售,例如积体电路、智慧型手机、笔记型电脑、CPU 和现场闸阵列(FPGA)。该市场的价值为“出厂价”,即商品製造商或创造者向其他营业单位(包括下游製造商、批发商、经销商和零售商)或直接向最终客户销售的商品价值。该市场中的商品价值也包括商品创造者提供的相关服务的价值。

目录

第一章执行摘要

第二章 市场特征

第三章 市场趋势与策略

第四章 市场:宏观经济情景,包括利率、通货膨胀、地缘政治、贸易战和关税,以及新冠疫情及其復苏对市场的影响

第五章 全球成长分析与策略分析框架

  • 全球网路安全领域的人工智慧:PESTEL 分析(政治、社会、技术、环境、法律因素、驱动因素和限制因素)
  • 终端用户产业分析
  • 全球网路安全人工智慧市场:成长率分析
  • 全球网路安全人工智慧市场表现:规模与成长,2019-2024年
  • 全球网路安全人工智慧市场预测:规模与成长,2024-2029年,2034年预测
  • 网路安全领域的人工智慧:全球潜在市场规模(TAM)

第六章 市场细分

  • 全球网路安全人工智慧市场:依产品、效能和预测划分,2019-2024年、2024-2029年预测、2034年预测
  • 硬体
  • 软体
  • 服务
  • 全球网路安全人工智慧市场:依技术、效能和预测划分,2019-2024年、2024-2029年预测、2034年预测
  • 机器学习
  • 自然语言处理(NLP)
  • 情境感知感知计算
  • 全球网路安全领域人工智慧市场:依安全类型划分,实际数据和预测数据,2019-2024年、2024-2029年预测数据、2034年预测数据
  • 网路安全
  • 端点安全
  • 应用程式安全
  • 云端安全
  • 全球网路安全人工智慧市场:按应用、效能和预测划分,2019-2024年、2024-2029年预测、2034年预测
  • 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
  • 安全和漏洞管理
  • 防毒或恶意软体保护
  • 诈欺检测或诈欺预防
  • 入侵侦测或防御系统
  • 威胁情报
  • 其他用途
  • 全球网路安全领域人工智慧市场:依最终用户划分,实际数据和预测数据,2019-2024年、2024-2029年预测数据、2034年预测数据
  • 银行、金融服务和保险(BFSI)
  • 零售
  • 製造业
  • 基础设施
  • 公司
  • 卫生保健
  • 汽车与运输
  • 政府和国防部
  • 其他最终用户
  • 全球网路安全人工智慧市场:细分市场、解决方案(按类型)、效能与预测,2019-2024年、2024-2029年预测、2034年预测
  • 机器学习解决方案
  • 自然语言处理解决方案
  • 电脑视觉解决方案
  • 语音辨识解决方案
  • 预测分析解决方案
  • 资料探勘解决方案
  • 机器人流程自动化解决方案
  • 全球网路安全人工智慧市场:细分市场、服务类型、效能及预测(2019-2024年、2024-2029年预测、2034年预测)
  • 咨询服务
  • 整合服务
  • 支援和维护服务
  • 培训和教育服务
  • 託管服务

第七章 区域和国家分析

  • 全球网路安全人工智慧市场:按地区、表现和预测划分,2019-2024年、2024-2029年预测、2034年预测
  • 全球网路安全人工智慧市场:按国家、效能和预测划分,2019-2024 年、2024-2029 年预测、2034 年预测

第八章 亚太市场

第九章:中国市场

第十章 印度市场

第十一章 日本市场

第十二章:澳洲市场

第十三章 印尼市场

第十四章 韩国市场

第十五章 西欧市场

第16章英国市场

第十七章:德国市场

第十八章:法国市场

第十九章:义大利市场

第二十章:西班牙市场

第21章 东欧市场

第22章 俄罗斯市场

第23章 北美市场

第24章美国市场

第25章:加拿大市场

第26章 南美洲市场

第27章:巴西市场

第28章 中东市场

第29章:非洲市场

第三十章:竞争格局与公司概况

  • 人工智慧在网路安全领域的应用:竞争格局
  • 网路安全领域的人工智慧市场:公司概况
    • Nvidia Corporation Overview, Products and Services, Strategy and Financial Analysis
    • Intel Corporation Overview, Products and Services, Strategy and Financial Analysis
    • Xilinx Inc. Overview, Products and Services, Strategy and Financial Analysis
    • International Business Machines Corporation Overview, Products and Services, Strategy and Financial Analysis
    • Amazon Web Services Inc. Overview, Products and Services, Strategy and Financial Analysis

第31章:其他领先和创新企业

  • Microsoft Corporation
  • Palo Alto Networks Inc.
  • CrowdStrike Holdings Inc.
  • NortonLifeLock Inc.
  • Cylance Inc.
  • FireEye Inc.
  • Check Point Software Technologies Ltd.
  • Darktrace Plc
  • McAfee LLC
  • Symantec Corporation
  • Fortinet Inc.
  • Cisco Systems Inc.
  • Splunk Inc.
  • Varonis Systems Inc.
  • Trend Micro Incorporated

第32章 全球市场竞争基准化分析与仪錶板

第33章 重大併购

第34章 近期市场趋势

第35章:高潜力市场国家、细分市场与策略

  • 2029年网路安全人工智慧市场:提供新机会的国家
  • 2029年网路安全领域人工智慧市场:新兴细分市场带来新机会
  • 2029年网路安全人工智慧市场:成长策略
    • 基于市场趋势的策略
    • 竞争对手策略

第36章附录

简介目录
Product Code: r23880u

AI in cybersecurity involves applying AI technologies and methods to enhance and reinforce cybersecurity measures. This entails analyzing extensive risk data and the connections between hazards in an organization's information systems to more efficiently and effectively detect, prevent, and respond to threats and attacks.

The primary offerings in AI in cybersecurity include hardware, software, and services. Hardware encompasses physical devices such as servers, routers, firewalls, and other network components, which are utilized to secure and manage data flow within an organization's network infrastructure. AI-based cybersecurity is employed for endpoint devices, such as laptops, desktops, and mobile phones, requiring protection against cyber threats. Key technologies involved are machine learning, natural language processing (NLP), and context-aware computing, providing various security types such as network security, endpoint security, application security, and cloud security. It is applied in identity and access management, risk and compliance management, data loss prevention, unified threat management, security and vulnerability management, antivirus or antimalware, fraud detection or anti-fraud, intrusion detection or prevention systems, threat intelligence, and more. Various industries, including banking, financial services, and insurance (BFSI), retail, manufacturing, infrastructure, enterprise, healthcare, automotive and transportation, government and defense, utilize AI in cybersecurity.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The sharp rise in U.S. tariffs and the ensuing trade tensions in spring 2025 are having a significant impact on the information technology sector, especially in hardware manufacturing, data infrastructure, and software deployment. Increased duties on imported semiconductors, circuit boards, and networking equipment have driven up production and operating costs for tech companies, cloud service providers, and data centers. Firms that depend on globally sourced components for laptops, servers, and consumer electronics are grappling with extended lead times and mounting pricing pressures. At the same time, tariffs on specialized software and retaliatory actions by key international markets have disrupted global IT supply chains and dampened foreign demand for U.S.-made technologies. In response, the sector is ramping up investments in domestic chip production, broadening its supplier network, and leveraging AI-powered automation to improve resilience and manage costs more effectively.

The AI in cybersecurity market research report is one of a series of new reports from The Business Research Company that provides AI in cybersecurity market statistics, including AI in cybersecurity industry global market size, regional shares, competitors with a AI in cybersecurity market share, detailed AI in cybersecurity market segments, market trends and opportunities, and any further data you may need to thrive in the AI in cybersecurity industry. This AI in cybersecurity market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The ai in cybersecurity market size has grown exponentially in recent years. It will grow from $24.67 billion in 2024 to $30.68 billion in 2025 at a compound annual growth rate (CAGR) of 24.4%. The growth in the historic period can be attributed to proof of AI efficacy, emergence of predictive analytics, big data utilization, evolving cybersecurity landscape, early adoption of AI techniques.

The ai in cybersecurity market size is expected to see exponential growth in the next few years. It will grow to $81.89 billion in 2029 at a compound annual growth rate (CAGR) of 27.8%. The growth in the forecast period can be attributed to increasing cyber threat sophistication, growing adoption of IoT devices, demand for real-time threat detection, shift to cloud-based security, cybersecurity skills gap. Major trends in the forecast period include AI in endpoint security, threat intelligence and information sharing, ai-enhanced incident response, AI-powered authentication, prediction and preemptive measures.

The forecast of 27.8% growth over the next five years reflects a slight reduction of 0.2% from the previous projection. This reduction is primarily due to the impact of tariffs between the US and other countries. This is likely to directly affect the US by disrupting the supply of specialized AI chips used in threat detection systems, sourced primarily from Taiwan and South Korea, potentially weakening national cybersecurity defenses. The effect will also be felt more widely due to reciprocal tariffs and the negative effect on the global economy and trade due to increased trade tensions and restrictions.

The growth of the AI in cybersecurity market is expected to be driven by the increasing number of cybercrimes. Cybercrime, which involves illegal activities utilizing computers, networks, or digital devices with malicious intent, such as data theft, system disruptions, and fraud, has seen a significant surge. Artificial intelligence is being leveraged to counter this growing threat by providing advanced security solutions capable of rapidly detecting, analyzing, and responding to cyber threats in real time. Additionally, AI helps reduce false positives by filtering out non-threatening activities. In 2022, the Federal Bureau of Investigation reported a substantial increase in investment fraud complaints, reaching $3.31 billion, a 127% rise from the $1.45 billion reported in 2021. Notably, cryptocurrency investment fraud witnessed a staggering 183% increase, soaring from $907 million in 2021 to $2.57 billion in 2022. As a result, the rise in cybercrimes is fueling the growth of the AI in cybersecurity market.

The growth of AI in cybersecurity is anticipated to be propelled by the increasing adoption of IoT devices. The proliferation of IoT devices leads to an expanded attack surface for potential cyber threats. As more devices connect to networks, cybercriminals have more entry points to exploit. AI in cybersecurity plays a vital role in continuously monitoring and analyzing the vast amounts of data generated by these devices, enabling the identification of abnormal patterns and potential security threats. For example, according to Dataprot, a Serbia-based cybersecurity solutions company, there were over ten billion active IoT devices in use in 2021, and this number is expected to increase to 25.4 billion by 2030. Therefore, the growing adoption of IoT devices is a key driver for the expansion of the AI in cybersecurity market.

Leading companies in the AI in cybersecurity market are actively developing innovative solutions for enterprise security to maintain a competitive advantage in the industry. Enterprise security encompasses a comprehensive set of measures and strategies implemented by organizations to safeguard their information, assets, technologies, and operations from various threats and risks. An example of this trend is evident in the actions of SentinelOne, Inc., a US-based cybersecurity company. In April 2023, SentinelOne launched a cutting-edge threat-hunting platform that utilizes generative artificial intelligence and reinforcement learning. This platform integrates real-time neural networks and a language model-based natural language interface, allowing users to manage and monitor security data with AI, gain instant insights, and seamlessly take necessary actions. By aggregating information from diverse sources, the platform recommends and executes response actions without requiring coding skills. SentinelOne's objective is to empower organizations to scale their cybersecurity operations, stay ahead of evolving threats, and establish a robust defense foundation for the future.

Major players in the AI for cybersecurity market are introducing AI-based products, such as AI-powered cybersecurity assistants, to gain a competitive edge. AI-powered assistants are computer programs or applications utilizing artificial intelligence technologies to perform tasks, offer information, and assist users with various activities. A case in point is BlackBerry Ltd., a Canada-based software company, which, in October 2023, launched a Generative AI-powered assistant specifically designed for Security Operations Center (SOC) teams. Serving as a SOC Analyst, this enterprise-grade solution delivers advanced cyberthreat analysis and support to enhance Chief Information Security Officer (CISO) operations. Leveraging private large language models (LLMs) for precision and data privacy, the assistant seamlessly integrates into the Cylance Console, providing a natural workflow that surpasses traditional chatbot experiences. Tailored for BlackBerry's Cylance AI customers, the assistant predicts user needs and proactively delivers information to streamline SOC operations, addressing challenges such as an evolving threat landscape and resource constraints faced by security officers.

In September 2024, Mastercard Inc., a US-based payment processing company, announced its acquisition of Recorded Future for $2.65 billion. This strategic move is intended to enhance Mastercard's cybersecurity infrastructure by leveraging Recorded Future's advanced AI-driven threat intelligence capabilities. By integrating these solutions, Mastercard aims to improve its ability to identify and mitigate cyber threats effectively. Recorded Future is recognized for its innovative cybersecurity solutions that provide real-time threat intelligence, helping organizations to stay ahead of potential security risks. This acquisition underscores Mastercard's commitment to bolstering its defenses against increasingly sophisticated cyber threats in the financial sector.

Major companies operating in the AI in cybersecurity market include Nvidia Corporation, Intel Corporation, Xilinx Inc., International Business Machines Corporation, Amazon Web Services Inc., Microsoft Corporation, Palo Alto Networks Inc., CrowdStrike Holdings Inc., NortonLifeLock Inc., Cylance Inc., FireEye Inc., Check Point Software Technologies Ltd., Darktrace Plc, McAfee LLC, Symantec Corporation, Fortinet Inc., Cisco Systems Inc., Splunk Inc., Varonis Systems Inc., Trend Micro Incorporated, Sophos Group plc, Carbon Black Inc., Dragos Inc., Zscaler Inc., CyberArk Software Ltd., Lookout Inc., XM Cyber Ltd., Axonius Inc.

North America was the largest region in the AI in cybersecurity market in 2024. Asia-Pacific is expected to be the fastest-growing region in the global AI In cybersecurity market report during the forecast period. The regions covered in the ai in cybersecurity market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa

The countries covered in the ai in cybersecurity market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain

The AI in cybersecurity market consists of revenues earned by entities by AI-based security, AI-based training, and education, AI-based user behavior modeling, and automation of manual security processes. The market value includes the value of related goods sold by the service provider or included within the service offering. The AI in cybersecurity market also includes sales of computers, computer peripherals, and telecommunications such as integrated circuits, smartphones, laptops, and CPUs, and field programmable gate arrays. Values in this market are 'factory gate' values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

AI In Cybersecurity Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on ai in cybersecurity market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

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Where is the largest and fastest growing market for ai in cybersecurity ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The ai in cybersecurity market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

  • The market characteristics section of the report defines and explains the market.
  • The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
  • The forecasts are made after considering the major factors currently impacting the market. These include:

The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.

  • Market segmentations break down the market into sub markets.
  • The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
  • The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
  • The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

Scope

  • Markets Covered:1) By Offering: Hardware; Software; Services
  • 2) By Technology: Machine learning; Natural Language Processing (NLP); Context-Aware Computing
  • 3) By Security Type: Network Security; Endpoint Security; Application Security; Cloud Security
  • 4) By Application: Identity and Access Management; Risk and Compliance Management; Data Loss Prevention; Unified Threat Management; Security and Vulnerability Management; Antivirus or Antimalware; Fraud Detection or Anti-Fraud; Intrusion Detection or Prevention System; Threat Intelligence; Other Applications
  • 5) By End Users: Banking, Financial Services, and Insurance (BFSI); Retail; Manufacturing; Infrastructure; Enterprise; Healthcare; Automotive and Transportation; Government and Defense; Other End-Users
  • Subsegments:
  • 1) By Solutions: Machine Learning Solutions; Natural Language Processing Solutions; Computer Vision Solutions; Speech Recognition Solutions; Predictive Analytics Solutions; Data Mining Solutions; Robotic Process Automation Solutions
  • 2) By Services: Consulting Services; Integration Services; Support And Maintenance Services; Training And Education Services; Managed Services
  • Companies Mentioned: Nvidia Corporation; Intel Corporation; Xilinx Inc.; International Business Machines Corporation; Amazon Web Services Inc.; Microsoft Corporation; Palo Alto Networks Inc.; CrowdStrike Holdings Inc.; NortonLifeLock Inc.; Cylance Inc.; FireEye Inc.; Check Point Software Technologies Ltd.; Darktrace Plc; McAfee LLC; Symantec Corporation; Fortinet Inc.; Cisco Systems Inc.; Splunk Inc.; Varonis Systems Inc.; Trend Micro Incorporated; Sophos Group plc; Carbon Black Inc.; Dragos Inc.; Zscaler Inc.; CyberArk Software Ltd.; Lookout Inc.; XM Cyber Ltd.; Axonius Inc.
  • Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
  • Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
  • Time Series: Five years historic and ten years forecast.
  • Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
  • Data Segmentations: country and regional historic and forecast data, market share of competitors, market segments.
  • Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
  • Delivery Format: PDF, Word and Excel Data Dashboard.

Table of Contents

1. Executive Summary

2. AI In Cybersecurity Market Characteristics

3. AI In Cybersecurity Market Trends And Strategies

4. AI In Cybersecurity Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, And Covid And Recovery On The Market

  • 4.1. Supply Chain Impact from Tariff War & Trade Protectionism

5. Global AI In Cybersecurity Growth Analysis And Strategic Analysis Framework

  • 5.1. Global AI In Cybersecurity PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
  • 5.2. Analysis Of End Use Industries
  • 5.3. Global AI In Cybersecurity Market Growth Rate Analysis
  • 5.4. Global AI In Cybersecurity Historic Market Size and Growth, 2019 - 2024, Value ($ Billion)
  • 5.5. Global AI In Cybersecurity Forecast Market Size and Growth, 2024 - 2029, 2034F, Value ($ Billion)
  • 5.6. Global AI In Cybersecurity Total Addressable Market (TAM)

6. AI In Cybersecurity Market Segmentation

  • 6.1. Global AI In Cybersecurity Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Hardware
  • Software
  • Services
  • 6.2. Global AI In Cybersecurity Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Machine learning
  • Natural Language Processing (NLP)
  • Context-Aware Computing
  • 6.3. Global AI In Cybersecurity Market, Segmentation By Security Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Network Security
  • Endpoint Security
  • Application Security
  • Cloud Security
  • 6.4. Global AI In Cybersecurity Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Identity and Access Management
  • Risk and Compliance Management
  • Data Loss Prevention
  • Unified Threat Management
  • Security and Vulnerability Management
  • Antivirus or Antimalware
  • Fraud Detection or Anti-Fraud
  • Intrusion Detection or Prevention System
  • Threat Intelligence
  • Other Applications
  • 6.5. Global AI In Cybersecurity Market, Segmentation By End Users, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Banking, Financial Services, and Insurance (BFSI)
  • Retail
  • Manufacturing
  • Infrastructure
  • Enterprise
  • Healthcare
  • Automotive and Transportation
  • Government and Defense
  • Other End-Users
  • 6.6. Global AI In Cybersecurity Market, Sub-Segmentation Of Solutions, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Machine Learning Solutions
  • Natural Language Processing Solutions
  • Computer Vision Solutions
  • Speech Recognition Solutions
  • Predictive Analytics Solutions
  • Data Mining Solutions
  • Robotic Process Automation Solutions
  • 6.7. Global AI In Cybersecurity Market, Sub-Segmentation Of Services, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Consulting Services
  • Integration Services
  • Support And Maintenance Services
  • Training And Education Services
  • Managed Services

7. AI In Cybersecurity Market Regional And Country Analysis

  • 7.1. Global AI In Cybersecurity Market, Split By Region, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 7.2. Global AI In Cybersecurity Market, Split By Country, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

8. Asia-Pacific AI In Cybersecurity Market

  • 8.1. Asia-Pacific AI In Cybersecurity Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 8.2. Asia-Pacific AI In Cybersecurity Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.3. Asia-Pacific AI In Cybersecurity Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.4. Asia-Pacific AI In Cybersecurity Market, Segmentation By Security Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

9. China AI In Cybersecurity Market

  • 9.1. China AI In Cybersecurity Market Overview
  • 9.2. China AI In Cybersecurity Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.3. China AI In Cybersecurity Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.4. China AI In Cybersecurity Market, Segmentation By Security Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion

10. India AI In Cybersecurity Market

  • 10.1. India AI In Cybersecurity Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.2. India AI In Cybersecurity Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.3. India AI In Cybersecurity Market, Segmentation By Security Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

11. Japan AI In Cybersecurity Market

  • 11.1. Japan AI In Cybersecurity Market Overview
  • 11.2. Japan AI In Cybersecurity Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.3. Japan AI In Cybersecurity Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.4. Japan AI In Cybersecurity Market, Segmentation By Security Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

12. Australia AI In Cybersecurity Market

  • 12.1. Australia AI In Cybersecurity Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.2. Australia AI In Cybersecurity Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.3. Australia AI In Cybersecurity Market, Segmentation By Security Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

13. Indonesia AI In Cybersecurity Market

  • 13.1. Indonesia AI In Cybersecurity Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.2. Indonesia AI In Cybersecurity Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.3. Indonesia AI In Cybersecurity Market, Segmentation By Security Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

14. South Korea AI In Cybersecurity Market

  • 14.1. South Korea AI In Cybersecurity Market Overview
  • 14.2. South Korea AI In Cybersecurity Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.3. South Korea AI In Cybersecurity Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.4. South Korea AI In Cybersecurity Market, Segmentation By Security Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

15. Western Europe AI In Cybersecurity Market

  • 15.1. Western Europe AI In Cybersecurity Market Overview
  • 15.2. Western Europe AI In Cybersecurity Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.3. Western Europe AI In Cybersecurity Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.4. Western Europe AI In Cybersecurity Market, Segmentation By Security Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

16. UK AI In Cybersecurity Market

  • 16.1. UK AI In Cybersecurity Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.2. UK AI In Cybersecurity Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.3. UK AI In Cybersecurity Market, Segmentation By Security Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

17. Germany AI In Cybersecurity Market

  • 17.1. Germany AI In Cybersecurity Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.2. Germany AI In Cybersecurity Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.3. Germany AI In Cybersecurity Market, Segmentation By Security Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

18. France AI In Cybersecurity Market

  • 18.1. France AI In Cybersecurity Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.2. France AI In Cybersecurity Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.3. France AI In Cybersecurity Market, Segmentation By Security Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

19. Italy AI In Cybersecurity Market

  • 19.1. Italy AI In Cybersecurity Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.2. Italy AI In Cybersecurity Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.3. Italy AI In Cybersecurity Market, Segmentation By Security Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

20. Spain AI In Cybersecurity Market

  • 20.1. Spain AI In Cybersecurity Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.2. Spain AI In Cybersecurity Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.3. Spain AI In Cybersecurity Market, Segmentation By Security Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

21. Eastern Europe AI In Cybersecurity Market

  • 21.1. Eastern Europe AI In Cybersecurity Market Overview
  • 21.2. Eastern Europe AI In Cybersecurity Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.3. Eastern Europe AI In Cybersecurity Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.4. Eastern Europe AI In Cybersecurity Market, Segmentation By Security Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

22. Russia AI In Cybersecurity Market

  • 22.1. Russia AI In Cybersecurity Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.2. Russia AI In Cybersecurity Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.3. Russia AI In Cybersecurity Market, Segmentation By Security Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

23. North America AI In Cybersecurity Market

  • 23.1. North America AI In Cybersecurity Market Overview
  • 23.2. North America AI In Cybersecurity Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.3. North America AI In Cybersecurity Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.4. North America AI In Cybersecurity Market, Segmentation By Security Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

24. USA AI In Cybersecurity Market

  • 24.1. USA AI In Cybersecurity Market Overview
  • 24.2. USA AI In Cybersecurity Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.3. USA AI In Cybersecurity Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.4. USA AI In Cybersecurity Market, Segmentation By Security Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

25. Canada AI In Cybersecurity Market

  • 25.1. Canada AI In Cybersecurity Market Overview
  • 25.2. Canada AI In Cybersecurity Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.3. Canada AI In Cybersecurity Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.4. Canada AI In Cybersecurity Market, Segmentation By Security Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

26. South America AI In Cybersecurity Market

  • 26.1. South America AI In Cybersecurity Market Overview
  • 26.2. South America AI In Cybersecurity Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.3. South America AI In Cybersecurity Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.4. South America AI In Cybersecurity Market, Segmentation By Security Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

27. Brazil AI In Cybersecurity Market

  • 27.1. Brazil AI In Cybersecurity Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.2. Brazil AI In Cybersecurity Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.3. Brazil AI In Cybersecurity Market, Segmentation By Security Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

28. Middle East AI In Cybersecurity Market

  • 28.1. Middle East AI In Cybersecurity Market Overview
  • 28.2. Middle East AI In Cybersecurity Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.3. Middle East AI In Cybersecurity Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.4. Middle East AI In Cybersecurity Market, Segmentation By Security Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

29. Africa AI In Cybersecurity Market

  • 29.1. Africa AI In Cybersecurity Market Overview
  • 29.2. Africa AI In Cybersecurity Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.3. Africa AI In Cybersecurity Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.4. Africa AI In Cybersecurity Market, Segmentation By Security Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

30. AI In Cybersecurity Market Competitive Landscape And Company Profiles

  • 30.1. AI In Cybersecurity Market Competitive Landscape
  • 30.2. AI In Cybersecurity Market Company Profiles
    • 30.2.1. Nvidia Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.2. Intel Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.3. Xilinx Inc. Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.4. International Business Machines Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.5. Amazon Web Services Inc. Overview, Products and Services, Strategy and Financial Analysis

31. AI In Cybersecurity Market Other Major And Innovative Companies

  • 31.1. Microsoft Corporation
  • 31.2. Palo Alto Networks Inc.
  • 31.3. CrowdStrike Holdings Inc.
  • 31.4. NortonLifeLock Inc.
  • 31.5. Cylance Inc.
  • 31.6. FireEye Inc.
  • 31.7. Check Point Software Technologies Ltd.
  • 31.8. Darktrace Plc
  • 31.9. McAfee LLC
  • 31.10. Symantec Corporation
  • 31.11. Fortinet Inc.
  • 31.12. Cisco Systems Inc.
  • 31.13. Splunk Inc.
  • 31.14. Varonis Systems Inc.
  • 31.15. Trend Micro Incorporated

32. Global AI In Cybersecurity Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The AI In Cybersecurity Market

34. Recent Developments In The AI In Cybersecurity Market

35. AI In Cybersecurity Market High Potential Countries, Segments and Strategies

  • 35.1 AI In Cybersecurity Market In 2029 - Countries Offering Most New Opportunities
  • 35.2 AI In Cybersecurity Market In 2029 - Segments Offering Most New Opportunities
  • 35.3 AI In Cybersecurity Market In 2029 - Growth Strategies
    • 35.3.1 Market Trend Based Strategies
    • 35.3.2 Competitor Strategies

36. Appendix

  • 36.1. Abbreviations
  • 36.2. Currencies
  • 36.3. Historic And Forecast Inflation Rates
  • 36.4. Research Inquiries
  • 36.5. The Business Research Company
  • 36.6. Copyright And Disclaimer