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市场调查报告书
商品编码
1642000
安全领域的人工智慧：市场占有率分析、行业趋势和统计、成长预测（2025-2030 年）AI In Security - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2025 - 2030) |
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价格
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简介目录
2025年安全市场中的AI价值预估为300.2亿美元，预计到2030年将达到716.9亿美元，预测期内（2025-2030年）的复合年增长率为19.02%。
人工智慧透过增强威胁情报侦测、自动应对网路攻击、分析大量资料中的异常以及全面改善网路安全态势，在安全市场中发挥至关重要的作用。人工智慧系统可以识别表明恶意活动的模式，适应不断演变的威胁，并为安全专业人员提供即时洞察，以防范潜在的违规行为。
主要亮点
- 随着连网企业、设备和应用程式的数量不断增加，企业面临大量独立端点，增加了其脆弱性。因此，安全领域的人工智慧提出了一个令人信服的提案：需要主动的威胁缓解能力，以不断监控和适应现代数位化位经济面临的多方面安全漏洞。
- Atos 和 Ooredoo 合作为卡达智慧计画 (TASMU) 提供领先的网路安全威胁侦测和回应服务，该计画是由卡达交通和通讯部 (MOTC) 推动的卡达智慧城市计画。它也支持卡达2030国家愿景。 Atos 和 Ooredoo 解决方案将整合 Atos Alsaac 平台的云端原生、智慧安全分析和 AI 功能，以保护 TASMU 的基础架构和应用程式。
- 全球范围内网路攻击的数量正在稳步增加。网路犯罪分子正在攻击端点、网路、资料和其他 IT 资源。基础设施对于公民、企业和政府来说成本高。网路犯罪分子的主要动机是政治竞争、经济利益、声誉损害、国际竞争力以及宗教极端分子的利益。大多数网路攻击都是出于经济利益。 WannaCry、Petya、NotPetya 和 BadRabbit 是着名的勒索软体攻击，对企业和政府组织造成了严重破坏。
- 透过引入人工智慧机器学习，不仅可以检测威胁和恶意软体，还可以在它们发生之前预防它们。预计这将在预测期内为安全市场的人工智慧创造巨大的市场机会。
- 根据印度资料安全委员会的数据，大约 97% 的印度组织已经开始投资 AI/ML，而 84% 的组织正在投资围绕云端技术的基础设施。人工智慧与网路安全的交叉预计将推动该领域的大量投资。预计人工智慧和网路安全管治领域也将出现大量投资机会。达拉斯创投公司 (DVC) 认为，机器学习 (ML) 和行为分析等人工智慧技术将改变网路安全领域。
- 网路威胁日益频繁且复杂化，传统的安全措施已显得不足。人工智慧提供了先进的功能，可以即时检测和应对不断演变的威胁。例如，韩国资讯通信技术部已承诺在 2023 年投入 6,700 亿韩元（6.07 亿美元），以加强该国的网路安全能力，以应对日益增多的新数位威胁。政府将与中央云端和资料中心公司合作，开发基础设施，即时收集威胁信息，快速应对网路安全威胁，而不是像现在这样依赖个人报告。
- 预计在预测期内，对更多熟练的人工智慧专业人员的需求和较低的认识将限制市场的发展。根据IBM Security的报告，全面部署人工智慧（AI）的组织与未采用人工智慧的组织相比，可节省高达305万美元的成本，成本削减效果最大。资料外洩的平均成本从 2021 年的 424 万美元增加 2.6% 至 2022 年的 435 万美元。
- 俄乌战争对安防AI市场产生了重大影响。紧张局势加剧导致人们对网路安全的担忧日益加剧，促使政府和企业加大对人工智慧主导的安全解决方案的投资，以防范间谍和骇客攻击等网路威胁。此外，地缘政治不稳定可能会扰乱人工智慧硬体和软体元件的供应链，影响安全领域人工智慧产品的可用性和定价。
AI安全市场趋势
医疗保健产业推动市场成长
- 人工智慧将透过提供先进的威胁侦测、资料保护、诈欺侦测、隐私保护和预测分析功能大大增强医疗保健安全。透过利用人工智慧主导的安全解决方案，医疗保健组织可以更好地保护患者资料，确保遵守监管要求，并降低网路安全威胁的风险。
- 医疗保健领域中医疗设备和物联网 (IoT) 设备的采用日益增多，带来了新的安全挑战。人工智慧可以透过监控设备行为、检测异常和识别潜在的安全漏洞或漏洞来增强这些设备的安全性。
- 2024 年 3 月，微软将 AI 的承诺变成现实，赋能产业应对最重要的挑战，并为临床医生和病患的生活带来真正的改变。在 2024 年 HIMSS 全球健康大会暨展览会上，该公司重点介绍了供应商如何采用生成式 AI 解决方案以及该技术的影响。
- 医疗保健组织需要即时威胁侦测功能来快速应对网路威胁并防止资料外洩。人工智慧安全解决方案可以分析来自各种来源的串流资料，包括网路流量、医疗设备和用户行为，以侦测和应对即时安全事件，最大限度地减少潜在违规行为的影响。此外，电子健康记录(EHR)、医学影像资料、穿戴式装置资料和其他医疗保健资料来源的激增正在产生大量必须保护的资料。基于人工智慧的安全解决方案可以即时分析大量医疗保健资料，比传统方法更有效地检测异常并识别潜在的安全威胁。
- 各家医院正在使用这项技术来提供更准确的诊断和治疗方案。例如，2024 年 3 月，微软在 HIMSS 世界卫生大会和展览会上宣布了一项独特的倡议，旨在确保医疗保健领域人工智慧的负责任发展。这家科技巨头与美国十几家知名医院合作，组成了值得信赖且负责任的人工智慧网路（TRAIN）。
- 2023 年 12 月，AJ 医院和研究中心开始在医院私人病房的 50 张病床上使用基于 Dozee 人工智慧的持续远端患者监护和警报系统。预计这些活动将推动市场需求。
亚太地区可望强劲成长
- 亚太地区数位经济正在取得巨大进步，但同时，威胁和相关机会也在增加。据思科称，亚太地区每分钟有六次网路攻击威胁企业，其中 51% 的网路攻击造成的损失超过 100 万美元。
- 网路攻击、恐怖主义和地缘政治紧张局势等全部区域日益严重的安全威胁正在推动对利用人工智慧来检测、预防和应对新出现的威胁的先进安全解决方案的需求。根据印度 MeitY (CERT-In) 报道，印度全国共报告了超过 130 万起网路攻击。该国是当年网路安全事件最多的国家之一。印度的网路用户数量位居第三。
- 互联网的日益普及和内部流程的数位化正在推动云端基础的服务的采用。在亚太地区进行数位转型的同时，由于网路法规不力以及网路安全意识缺乏，亚太地区企业遭受骇客攻击的可能性比其他地区高出 80%。韩国金融服务委员会 (FSC) 和金融监督(FSS) 已公布金融服务领域人工智慧指南，教育产业了解人工智慧安全系统的责任、准确性、安全性、透明度、公平性和消费者权利。指导在以下领域。
- 许多国家正在透过法规和开发独立程序来创建“单一事实资讯来源”，并向银行和零售商提供检验客户身分。马来西亚的「MyKad」、新加坡的「MyInfo」、泰国的「Digital ID」等，都是为了让身分验证更简单、快速。这为人工智慧在安全市场创造了巨大的潜力。
- 预计预测期内，所有上述因素都将支持该地区安全市场人工智慧的成长。例如，2024 年2 月，IBM 宣布推出AI 增强版IBM FlashCore Module 技术，该技术可在新的IBM Storage FlashSystem 产品中使用，帮助客户更快、更准确地检测和应对网路威胁，同时IBM Storage 推出了新版本的Defender 软体可协助组织提高侦测和应对威胁资料的勒索软体和其他网路攻击的能力。
安全产业中的人工智慧
由于多年来网路攻击不断增加，安全人工智慧市场竞争激烈且分散，许多新兴企业正在开发创新技术。人工智慧（AI）是一个快速发展的技术领域，已经吸引了商业投资者、国防知识分子、政策制定者和国际竞争对手的注意。这导致该市场的竞争加剧。一些市场参与者的例子包括 IBM 公司和思科系统公司。
- 2023 年 11 月，Commvault 推出了全面的 Commvault Cloud 软体基础设施，与多家安全供应商联手提供全面的网路安全、弹性和资料智慧。该公司已与网路安全、人工智慧 (AI) 和云端供应商建立了伙伴关係，以提供更好的选择来保护、侦测和应对可能的威胁和攻击，同时提高资料可见性和成长。信心为我们的共同客户提供这一点。
- 2023 年 11 月，美国资料安全公司 Rubrik 宣布了 Ruby。这是为 Rubrik 安全云端设计的生成式 AI 增强功能，预计将加快网路危害搜寻和恢復速度。
其他福利：
- Excel 格式的市场预测 (ME) 表
- 3 个月的分析师支持
目录
第 1 章 简介
- 研究假设和市场定义
- 研究范围
第二章调查方法
第三章执行摘要
第四章 市场动态
- 市场概况
- 市场驱动因素
- 安全诈骗和技术渗透增加
- 云端运算生态系统中的恶意软体攻击（勒索软体）增加
- 市场限制
- 缺乏熟练的人工智慧专业人员
- 产业价值链分析
- 产业吸引力－波特五力分析
- 新进入者的威胁
- 买家的议价能力
- 供应商的议价能力
- 替代品的威胁
- 竞争对手之间的竞争强度
- 主要宏观经济趋势将如何影响市场
第五章 市场区隔
- 按证券类型
- 网路安全
- 应用程式安全
- 云端安全
- 按服务
- 专业服务
- 託管服务
- 按部署
- 本地
- 云
- 按最终用户产业
- 政府和国防
- 零售
- BFSI
- 製造业
- 卫生保健
- 汽车与运输
- 其他最终用户产业
- 按地区
- 北美洲
- 美国
- 加拿大
- 欧洲
- 英国
- 德国
- 法国
- 义大利
- 西班牙
- 其他欧洲国家
- 亚太地区
- 中国
- 日本
- 印度
- 韩国
- 其他亚太地区
- 世界其他地区
- 拉丁美洲
- 中东和非洲
- 北美洲
第六章 竞争格局
- 公司简介
- IBM Corporation
- Facebook Inc.
- F-Secure Corporation
- Tech Mahindra Limited
- Cisco Systems Inc.
- Nvidia Corporation
- Samsung Electronics Co. Ltd
- Xilinx Inc.
- ThreatMetrix Inc.（RELX Group）
- Broadcom Inc.（Symantec Corporation）
- Fortinet Inc.
- Juniper Network Inc.
- Micron Technology Inc.
第七章投资分析
第 8 章：市场的未来
简介目录
Product Code: 65016
The AI In Security Market size is estimated at USD 30.02 billion in 2025, and is expected to reach USD 71.69 billion by 2030, at a CAGR of 19.02% during the forecast period (2025-2030).
Artificial intelligence plays a crucial role in the security market by enhancing threat detection, automating responses to cyberattacks, analyzing vast amounts of data for anomalies, and improving overall cybersecurity posture. AI-powered systems can identify patterns indicative of malicious activities, adapt to evolving threats, and provide real-time insights to security professionals, helping them stay ahead of potential breaches.
Key Highlights
- With the rise in connected enterprises, devices, and applications, businesses are becoming more vulnerable as they are connected to a mass of independent endpoints. Therefore, AI in security provides an enticing proposition with its proactive threat mitigation capabilities, which are needed for constant supervision and adaptation to the multifaceted security vulnerabilities faced by the modern digitalized economy.
- Atos and Ooredoo partnered to provide key cybersecurity threat detection and response services to Qatar Smart Program "TASMU," which is a smart city program in the country driven by the Ministry of Transport and Communication (MOTC). It also supports Qatar National Vision 2030. Atos and Ooredoo's solution integrates cloud-native, intelligent security analytics and AI capability from the Atos Alsaac platform to secure TASMU's infrastructure and applications.
- The number of cyberattacks is steadily increasing on a global scale. Cybercriminals attack endpoints, networks, data, and other IT resources. Infrastructure is costly for citizens, companies, and governments. Cybercriminals' primary motivations are political rivalry, monetary gain, reputational harm, global competitiveness, and the interest of radical religious organizations. The majority of cyberattacks try to make money. WannaCry, Petya, NotPetya, and BadRabbit are significant ransomware that have severely harmed businesses and government organizations.
- Implementing machine learning with AI enables threats and malware to be proactively prevented rather than only detected. This is expected to help create a vast market opportunity for artificial intelligence in the security market during the forecast period.
- About 97% of Indian organizations have begun investing in AI/ML, while 84% are investing in infrastructure around cloud technology, according to the Data Security Council of India. The intersection of AI with cybersecurity is poised to drive a significant increase in investments in the sector. Also, the nation expects a few investment opportunities in AI and cyber security governance areas. Dallas Venture Capital (DVC) claimed that AI technologies, such as machine learning (ML) and behavioral analytics, are game changers in cybersecurity.
- The rising frequency and sophistication of cyber threats have made traditional security measures insufficient. AI offers advanced capabilities to detect and respond to evolving threats in real time. For instance, South Korea's ICT ministry spent KRW 670 billion (USD 607 million) in 2023 to bolster the country's cybersecurity capabilities to respond to growing new digital threats. The government plans to develop infrastructure to quickly respond to cybersecurity threats by collaborating with central cloud and data center companies to collect threat information in real time, compared to the current system that relies on individual reports.
- The need for more skilled AI professionals and the lack of awareness are expected to restrain the market during the forecast period. According to a report by IBM Security, artificial intelligence (AI), when fully deployed, provided the most significant cost mitigation, up to USD 3.05 million less, at organizations with AI than organizations without AI. The average cost of a data breach increased by 2.6% from USD 4.24 million in 2021 to USD 4.35 million in 2022.
- The Russia-Ukraine war significantly impacted the AI security market. Increased tensions led to heightened cybersecurity concerns, prompting governments and businesses to invest more in AI-driven security solutions to protect against cyber threats, including espionage and hacking attacks. Additionally, geopolitical instability could disrupt supply chains for AI hardware and software components, affecting the availability and pricing of AI security products.
AI In Security Market Trends
The Healthcare Sector is Significantly Driving Market Growth
- AI significantly strengthens healthcare security by providing advanced threat detection, data protection, fraud detection, privacy preservation, and predictive analytics capabilities. By leveraging AI-driven security solutions, healthcare organizations can better safeguard patient data, ensure compliance with regulatory requirements, and mitigate the risks posed by cybersecurity threats.
- The increasing adoption of medical and Internet of Things (IoT) devices in healthcare settings introduces new security challenges. AI can enhance the security of these instruments by monitoring device behavior, detecting anomalies, and identifying potential security vulnerabilities or breaches.
- In March 2024, Microsoft made the promise of AI real by empowering the industry to tackle its most significant challenges and create a real difference in the lives of clinicians and patients. At the 2024 HIMSS Global Health Conference & Exhibition, the company highlighted how providers are adopting generative AI solutions and the impact the technology is making.
- Healthcare organizations require real-time threat detection capabilities to respond swiftly to cyber threats and prevent data breaches. AI-powered security solutions can analyze streaming data from various sources, such as network traffic, medical devices, and user activities, to detect and respond to real-time security incidents, minimizing the impact of potential breaches. Also, the proliferation of electronic health records (EHRs), medical imaging data, wearable device data, and other healthcare data sources has generated vast amounts of data that need to be protected. AI-based security solutions analyze large volumes of healthcare data in real time to detect anomalies and identify potential security threats more effectively than traditional methods.
- Various hospitals use this technology to deliver more accurate diagnoses and treatment plans. For instance, in March 2024, Microsoft announced a unique initiative to provide the responsible development of AI in healthcare at the HIMSS Global Health Conference & Exhibition. The tech giant is teaming up with more than a dozen of America's most prominent hospitals to form the Trustworthy & Responsible AI Network, also dubbed TRAIN.
- In December 2023, AJ Hospital and Research Centre started using 50 beds in the hospital's private ward new Dozee Artificial Intelligence-based Continuous Remote Patient Monitoring and Early Warning System, which helps the hospital continuously monitor the vital parameters of patients after they moved out of the intensive care unit. Such activities are expected to drive the market demand.
Asia-Pacific is Expected to Witness Significant Growth
- In the Asia-Pacific region, great strides are being made in the digital economy, but it is also causing more threat-related opportunities. According to Cisco, companies receive six threats every minute in APAC, and 51% of all cyber-attacks result in a loss of more than USD 1 million.
- With increasing security threats such as cyberattacks, terrorism, and geopolitical tensions across the region, the demand for advanced security solutions powered by AI is growing to detect, prevent, and respond to emerging threats. According to MeitY (India) (CERT-In), more than 1.3 million cyber attacks were reported across India. The country was among the top five with the most cyber security incidents in the same year. India ranks third in terms of internet user numbers.
- The growing penetration of the internet and the shift toward digitization of internal processes have been instrumental in driving the adoption of cloud-based services. Alongside the digital transformation in the region, owing to ineffective cyber laws and lack of cybersecurity awareness, companies in Asia-Pacific are 80% more likely to be targeted by hackers than in other regions. Korea FSC (Financial Services Committee) and FSS (Financial Supervisory Service) announced AI Guidelines in Financial Services, which guide the industry on the responsibility, accuracy, safety, transparency, fairness, and consumer rights relating to AI security systems.
- Many countries have passed regulations and created independent programs to create a "single source of truth" and provide banks and retailers with verified digital customer identities. Malaysia's MyKad, Singapore's MyInfo, and Thailand's Digital ID are all designed to facilitate and speed up identity verification. This creates a huge scope for AI in the security market.
- All the above factors are expected to support the growth of artificial intelligence in the security market in this region during the forecast period. For instance, in February 2024, to help clients counter cyber threats with earlier and more accurate detection, IBM announced new AI-enhanced versions of the IBM FlashCore Module technology available inside new IBM Storage FlashSystem products and a new version of the IBM Storage Defender software to help organizations improve their ability to detect and respond to ransomware and other cyberattacks that threaten their data.
AI In Security Industry Overview
Artificial intelligence in the security market is highly competitive and fragmented as many new companies are developing innovative technologies due to the rise in cyber attacks over the years. Artificial intelligence (AI) is a rapidly growing field of technology that is capturing the attention of commercial investors, defense intellectuals, policymakers, and international competitors. This is making this market more competitive. A few of the market players include IBM Corporation and Cisco Systems Inc.
- November 2023: Commvault announced its all-inclusive Commvault Cloud software infrastructure and established numerous security supplier arrangements to offer comprehensive cyber security, resilience, and data intelligence proficiencies. The company believes in setting up partnerships with cyber security, artificial intelligence (AI), and cloud suppliers to offer joint customers more choices to protect, detect, and answer possible threats and attacks while enlightening data visibility and ascendency.
- November 2023: Rubrik, a US-based company working in the data security sector, launched Ruby. It is a generative AI extension designed for Rubrik Security Cloud as well, and it is projected to speed up cyber hazard detection retrieval and resilience.
Additional Benefits:
- The market estimate (ME) sheet in Excel format
- 3 months of analyst support
TABLE OF CONTENTS
1 INTRODUCTION
- 1.1 Study Assumptions and Market Definition
- 1.2 Scope of the Study
2 RESEARCH METHODOLOGY
3 EXECUTIVE SUMMARY
4 MARKET DYNAMICS
- 4.1 Market Overview
- 4.2 Market Drivers
- 4.2.1 Increasing Number of Security Frauds and Technology Penetration
- 4.2.2 Increasing Number of Malware Attacks (Ransomware) Across Cloud Computing Ecosystem
- 4.3 Market Restraints
- 4.3.1 Lack of Skilled AI Professionals
- 4.4 Industry Value Chain Analysis
- 4.5 Industry Attractiveness - Porter's Five Force Analysis
- 4.5.1 Threat of New Entrants
- 4.5.2 Bargaining Power of Buyers
- 4.5.3 Bargaining Power of Suppliers
- 4.5.4 Threat of Substitute Products
- 4.5.5 Intensity of Competitive Rivalry
- 4.6 Impact of Key Macroeconomic Trends on the Market
5 MARKET SEGMENTATION
- 5.1 By Security Type
- 5.1.1 Network Security
- 5.1.2 Application Security
- 5.1.3 Cloud Security
- 5.2 By Service
- 5.2.1 Professional Services
- 5.2.2 Managed Services
- 5.3 By Deployment
- 5.3.1 On-premise
- 5.3.2 Cloud
- 5.4 By End-user Industry
- 5.4.1 Government & Defense
- 5.4.2 Retail
- 5.4.3 BFSI
- 5.4.4 Manufacturing
- 5.4.5 Healthcare
- 5.4.6 Automotive & Transportation
- 5.4.7 Other End-user Industries
- 5.5 By Geography
- 5.5.1 North America
- 5.5.1.1 United States
- 5.5.1.2 Canada
- 5.5.2 Europe
- 5.5.2.1 United Kingdom
- 5.5.2.2 Germany
- 5.5.2.3 France
- 5.5.2.4 Italy
- 5.5.2.5 Spain
- 5.5.2.6 Rest of Europe
- 5.5.3 Asia-Pacific
- 5.5.3.1 China
- 5.5.3.2 Japan
- 5.5.3.3 India
- 5.5.3.4 South Korea
- 5.5.3.5 Rest of Asia-Pacific
- 5.5.4 Rest of the World
- 5.5.4.1 Latin America
- 5.5.4.2 Middle East and Africa
- 5.5.1 North America
6 COMPETITIVE LANDSCAPE
- 6.1 Company Profiles
- 6.1.1 IBM Corporation
- 6.1.2 Facebook Inc.
- 6.1.3 F-Secure Corporation
- 6.1.4 Tech Mahindra Limited
- 6.1.5 Cisco Systems Inc.
- 6.1.6 Nvidia Corporation
- 6.1.7 Samsung Electronics Co. Ltd
- 6.1.8 Xilinx Inc.
- 6.1.9 ThreatMetrix Inc. (RELX Group)
- 6.1.10 Broadcom Inc. (Symantec Corporation)
- 6.1.11 Fortinet Inc.
- 6.1.12 Juniper Network Inc.
- 6.1.13 Micron Technology Inc.
