 |
市場調查報告書
商品編碼
1642000
安全領域的人工智慧：市場佔有率分析、行業趨勢和統計、成長預測（2025-2030 年）AI In Security - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2025 - 2030) |
||||||
價格
※ 本網頁內容可能與最新版本有所差異。詳細情況請與我們聯繫。
簡介目錄
2025年安全市場中的AI價值預估為300.2億美元，預計到2030年將達到716.9億美元，預測期內（2025-2030年）的複合年成長率為19.02%。
人工智慧透過增強威脅情報偵測、自動應對網路攻擊、分析大量資料中的異常以及全面改善網路安全態勢，在安全市場中發揮至關重要的作用。人工智慧系統可以識別表明惡意活動的模式，適應不斷演變的威脅，並為安全專業人員提供即時洞察，以防範潛在的違規行為。
主要亮點
- 隨著連網企業、設備和應用程式的數量不斷增加，企業面臨大量獨立端點，增加了其脆弱性。因此，安全領域的人工智慧提出了一個令人信服的提案：需要主動的威脅緩解能力，以不斷監控和適應現代數位化位經濟面臨的多方面安全漏洞。
- Atos 和 Ooredoo 合作為卡達智慧計畫 (TASMU) 提供領先的網路安全威脅偵測和回應服務，該計畫是由卡達交通和通訊部 (MOTC) 推動的卡達智慧城市計畫。它也支持卡達2030國家願景。 Atos 和 Ooredoo 解決方案將整合 Atos Alsaac 平台的雲端原生、智慧安全分析和 AI 功能，以保護 TASMU 的基礎架構和應用程式。
- 全球範圍內網路攻擊的數量正在穩步增加。網路犯罪分子正在攻擊端點、網路、資料和其他 IT 資源。基礎設施對於公民、企業和政府來說成本高。網路犯罪分子的主要動機是政治競爭、經濟利益、聲譽損害、國際競爭力以及宗教極端分子的利益。大多數網路攻擊都是出於經濟利益。 WannaCry、Petya、NotPetya 和 BadRabbit 是著名的勒索軟體攻擊，對企業和政府組織造成了嚴重破壞。
- 透過引入人工智慧機器學習，不僅可以檢測威脅和惡意軟體，還可以在它們發生之前預防它們。預計這將在預測期內為安全市場的人工智慧創造巨大的市場機會。
- 根據印度資料安全委員會的數據，大約 97% 的印度組織已經開始投資 AI/ML，而 84% 的組織正在投資圍繞雲端技術的基礎設施。人工智慧與網路安全的交叉預計將推動該領域的大量投資。預計人工智慧和網路安全管治領域也將出現大量投資機會。達拉斯創投公司 (DVC) 認為，機器學習 (ML) 和行為分析等人工智慧技術將改變網路安全領域。
- 網路威脅日益頻繁且複雜化，傳統的安全措施已顯得不足。人工智慧提供了先進的功能，可以即時檢測和應對不斷演變的威脅。例如，韓國資訊通訊技術部已承諾在 2023 年投入 6,700 億韓元（6.07 億美元），以加強該國的網路安全能力，以應對日益增多的新數位威脅。政府將與中央雲端和資料中心公司合作，開發基礎設施，即時收集威脅資訊，快速應對網路安全威脅，而不是像現在這樣依賴個人報告。
- 預計在預測期內，對更多熟練的人工智慧專業人員的需求和較低的認知將限制市場的發展。根據IBM Security的報告，全面部署人工智慧（AI）的組織與未採用人工智慧的組織相比，可節省高達305萬美元的成本，成本削減效果最大。資料外洩的平均成本從 2021 年的 424 萬美元增加 2.6% 至 2022 年的 435 萬美元。
- 俄烏戰爭對安防AI市場產生了重大影響。緊張局勢加劇導致人們對網路安全的擔憂日益加劇，促使政府和企業加大對人工智慧主導的安全解決方案的投資，以防範間諜和駭客攻擊等網路威脅。此外，地緣政治不穩定可能會擾亂人工智慧硬體和軟體元件的供應鏈，影響安全領域人工智慧產品的可用性和定價。
AI安全市場趨勢
醫療保健產業推動市場成長
- 人工智慧將透過提供先進的威脅偵測、資料保護、詐欺偵測、隱私保護和預測分析功能大大增強醫療保健安全。透過利用人工智慧主導的安全解決方案，醫療保健組織可以更好地保護患者資料，確保遵守監管要求，並降低網路安全威脅的風險。
- 醫療保健領域中醫療設備和物聯網 (IoT) 設備的採用日益增多，帶來了新的安全挑戰。人工智慧可以透過監控設備行為、檢測異常和識別潛在的安全漏洞或漏洞來增強這些設備的安全性。
- 2024 年 3 月，微軟將 AI 的承諾變成現實，賦能產業應對最重要的挑戰，並為臨床醫生和病患的生活帶來真正的改變。在 2024 年 HIMSS 全球健康大會暨展覽會上，該公司重點介紹了供應商如何採用生成式 AI 解決方案以及該技術的影響。
- 醫療保健組織需要即時威脅偵測功能來快速應對網路威脅並防止資料外洩。人工智慧安全解決方案可以分析來自各種來源的串流資料，包括網路流量、醫療設備和用戶行為，以偵測和應對即時安全事件，最大限度地減少潛在違規行為的影響。此外，電子健康記錄(EHR)、醫學影像資料、穿戴式裝置資料和其他醫療保健資料來源的激增正在產生大量必須保護的資料。基於人工智慧的安全解決方案可以即時分析大量醫療保健資料，比傳統方法更有效地檢測異常並識別潛在的安全威脅。
- 各家醫院正在使用這項技術來提供更準確的診斷和治療方案。例如，2024 年 3 月，微軟在 HIMSS 世界衛生大會和展覽會上宣布了一項獨特的舉措，旨在確保醫療保健領域人工智慧的負責任發展。這家科技巨頭與美國十幾家知名醫院合作，組成了值得信賴且負責任的人工智慧網路（TRAIN）。
- 2023 年 12 月，AJ 醫院和研究中心開始在醫院私人病房的 50 張病床上使用基於 Dozee 人工智慧的持續遠端患者監護和警報系統。預計這些活動將推動市場需求。
亞太地區可望強勁成長
- 亞太地區數位經濟正在取得巨大進步，但同時，威脅和相關機會也在增加。據思科稱，亞太地區每分鐘有六次網路攻擊威脅企業，其中 51% 的網路攻擊造成的損失超過 100 萬美元。
- 網路攻擊、恐怖主義和地緣政治緊張局勢等全部區域日益嚴重的安全威脅正在推動對利用人工智慧來檢測、預防和應對新出現的威脅的先進安全解決方案的需求。根據印度 MeitY (CERT-In) 報道，印度全國共報告了超過 130 萬起網路攻擊。該國是當年網路安全事件最多的國家之一。印度的網路用戶數量位居第三。
- 網際網路的日益普及和內部流程的數位化正在推動雲端基礎的服務的採用。在亞太地區進行數位轉型的同時，由於網路法規不力以及網路安全意識缺乏，亞太地區企業遭受駭客攻擊的可能性比其他地區高出 80%。韓國金融服務委員會 (FSC) 和金融監督(FSS) 已公佈金融服務領域人工智慧指南，教育產業了解人工智慧安全系統的責任、準確性、安全性、透明度、公平性和消費者權利。指導在以下領域。
- 許多國家正在透過法規和開發獨立程序來創建“單一事實資訊來源”，並向銀行和零售商提供檢驗客戶身分。馬來西亞的「MyKad」、新加坡的「MyInfo」、泰國的「Digital ID」等，都是為了讓身分驗證更簡單、快速。這為人工智慧在安全市場創造了巨大的潛力。
- 預計預測期內，所有上述因素都將支持該地區安全市場人工智慧的成長。例如，2024 年2 月，IBM 宣布推出AI 增強版IBM FlashCore Module 技術，該技術可在新的IBM Storage FlashSystem 產品中使用，幫助客戶更快、更準確地檢測和應對網路威脅，同時IBM Storage 推出了新版本的Defender 軟體可協助組織提高偵測和應對威脅資料的勒索軟體和其他網路攻擊的能力。
安全產業中的人工智慧
由於多年來網路攻擊不斷增加，安全人工智慧市場競爭激烈且分散，許多新興企業正在開發創新技術。人工智慧（AI）是一個快速發展的技術領域，已經吸引了商業投資者、國防知識分子、政策制定者和國際競爭對手的注意。這導致該市場的競爭加劇。一些市場參與者的例子包括 IBM 公司和思科系統公司。
- 2023 年 11 月，Commvault 推出了全面的 Commvault Cloud 軟體基礎設施，與多家安全供應商聯手提供全面的網路安全、彈性和資料智慧。該公司已與網路安全、人工智慧 (AI) 和雲端供應商建立了夥伴關係，以提供更好的選擇來保護、偵測和應對可能的威脅和攻擊，同時提高資料可見性和成長。信心為我們的共同客戶提供這一點。
- 2023 年 11 月，美國資料安全公司 Rubrik 宣布了 Ruby。這是為 Rubrik 安全雲端設計的生成式 AI 增強功能，預計將加快網路危害搜尋和恢復速度。
其他福利：
- Excel 格式的市場預測 (ME) 表
- 3 個月的分析師支持
目錄
第 1 章 簡介
- 研究假設和市場定義
- 研究範圍
第2章調查方法
第3章執行摘要
第4章 市場動態
- 市場概況
- 市場促進因素
- 安全詐騙和技術滲透增加
- 雲端運算生態系統中的惡意軟體攻擊（勒索軟體）增加
- 市場限制
- 缺乏熟練的人工智慧專業人員
- 產業價值鏈分析
- 產業吸引力－波特五力分析
- 新進入者的威脅
- 買家的議價能力
- 供應商的議價能力
- 替代品的威脅
- 競爭對手之間的競爭強度
- 主要宏觀經濟趨勢將如何影響市場
第5章 市場區隔
- 按證券類型
- 網路安全
- 應用程式安全
- 雲端安全
- 按服務
- 專業服務
- 託管服務
- 按部署
- 本地
- 雲
- 按最終用戶產業
- 政府和國防
- 零售
- BFSI
- 製造業
- 衛生保健
- 汽車與運輸
- 其他最終用戶產業
- 按地區
- 北美洲
- 美國
- 加拿大
- 歐洲
- 英國
- 德國
- 法國
- 義大利
- 西班牙
- 其他歐洲國家
- 亞太地區
- 中國
- 日本
- 印度
- 韓國
- 其他亞太地區
- 世界其他地區
- 拉丁美洲
- 中東和非洲
- 北美洲
第6章 競爭格局
- 公司簡介
- 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7章投資分析
第 8 章：市場的未來
簡介目錄
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.
