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市場調查報告書
商品編碼
1843562
2025年全球網路安全人工智慧市場報告AI In Cybersecurity Global Market Report 2025 |
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近年來,人工智慧在網路安全領域的市場規模呈指數級成長,從2024年的246.7億美元成長到2025年的306.8億美元,複合年成長率達24.4%。這一成長可歸因於人工智慧已被證實的有效性、預測分析的興起、巨量資料的使用、不斷演變的網路安全情勢以及人工智慧技術的早期應用。
預計未來幾年,網路安全領域的人工智慧市場將呈指數級成長,到2029年市場規模將達到818.9億美元,複合年成長率(CAGR)為27.8%。預測期內的成長可歸因於網路威脅日益複雜化、物聯網設備日益普及、對即時威脅偵測的需求不斷成長、向雲端基礎安全轉型以及網路安全技能缺口。預測期內的關鍵趨勢包括:人工智慧在終端安全、威脅情報和資訊共用、人工智慧驅動的事件回應以及人工智慧驅動的身份驗證、預測和先發製人措施中的應用。
網路安全領域的人工智慧是指應用人工智慧技術和方法來增強和加強網路安全措施,這意味著分析組織資訊系統中的大量風險資料和危險之間的聯繫,以便更有效率、更有效地偵測、預防和應對威脅和攻擊。
網路安全領域的人工智慧主要涵蓋硬體、軟體和服務。硬體包括伺服器、路由器、防火牆和其他網路元件等實體設備,用於保護和管理組織網路基礎設施內的資料流。基於人工智慧的網路安全部署在筆記型電腦、桌上型電腦和行動電話等終端設備上,這些設備需要抵禦網路威脅。關鍵技術包括機器學習、自然語言處理 (NLP) 和情境感知運算,可提供多種安全類型,包括網路安全、終端安全、應用程式安全和雲端安全。應用領域包括身分和存取管理、風險和合規性管理、預防資料外泄、統一威脅管理、安全性和漏洞管理、防毒或反惡意軟體、詐騙偵測或詐騙、入侵偵測或預防系統以及威脅情報。各行各業都在使用人工智慧進行網路安全防護,包括銀行、金融服務和保險 (BFSI)、零售、製造、基礎設施、企業、醫療保健、汽車和交通運輸、政府和國防等行業。
2025年春季,美國關稅的大幅上漲及其引發的貿易摩擦對資訊科技產業,尤其是硬體製造、資料基礎設施和軟體部署領域,產生了重大影響。進口半導體、電路基板和網路設備的關稅提高,並推高了高科技公司、雲端服務供應商和資料中心的生產和營運成本。在全球範圍內採購筆記型電腦、伺服器和消費電子產品的公司面臨更長的前置作業時間和價格壓力。同時,對專用軟體徵收的關稅以及主要國際市場的報復性措施,擾亂了全球IT供應鏈,並降低了海外對美國製造技術的需求。為了應對這些挑戰,該行業正在加大對國內晶片生產的投資,擴大供應商網路,並利用人工智慧驅動的自動化技術來增強韌性並簡化成本管理。
這份網路安全人工智慧市場研究報告是商業研究公司最新報告系列的一部分,提供網路安全人工智慧市場統計數據,例如全球網路安全人工智慧產業的市場規模、區域佔有率、市場佔有率及競爭對手、詳細的市場細分、市場趨勢和商業機會等。這份網路安全人工智慧市場研究報告對該行業的現狀和未來發展趨勢進行了詳細分析,為您提供所需的一切全面觀點。
未來五年27.8%的成長率預測較我們先前的預測略微下調了0.2%。這一下調主要歸因於美國與其他國家之間的關稅影響。這可能會直接影響美國,擾亂威脅偵測系統專用人工智慧晶片的供應,而這些晶片主要來自台灣和韓國,從而可能削弱美國的網路安全防禦能力。此外,由於相互關稅措施以及貿易緊張局勢和限制加劇對全球經濟和貿易的負面影響,其影響範圍也將更加廣泛。
網路安全領域人工智慧市場的成長預計將受到網路犯罪日益猖獗的推動。網路犯罪是指惡意利用電腦、網路或數位裝置實施非法活動,例如資料竊盜、系統破壞和詐騙,目前正經歷顯著的激增。人工智慧正被用於應對這一日益嚴重的威脅,它提供先進的安全解決方案,能夠即時快速地檢測、分析和回應網路威脅。此外,人工智慧還能過濾掉非威脅性活動,進而幫助減少誤報。 2022年,美國聯邦調查局報告稱,投資詐騙申訴數量顯著增加,涉案金額達到33.1億美元,較2021年的14.5億美元成長了127%。其中,加密貨幣投資詐騙增幅尤為驚人,高達183%,從2021年的9.07億美元躍升至2022年的25.7億美元。因此,網路犯罪的增加正在推動人工智慧在網路安全市場的發展。
人工智慧在網路安全領域的成長預計將受到物聯網設備日益普及的推動。物聯網設備的激增導致潛在網路威脅的攻擊面不斷擴大。隨著越來越多的設備接取網路,網路犯罪分子可利用的入口點也隨之增加。人工智慧在網路安全領域發揮關鍵作用,它能夠持續監控和分析這些設備產生的大量數據,從而識別異常模式和潛在的安全威脅。例如,根據塞爾維亞網路安全解決方案公司Dataprot的數據顯示,2021年全球活躍的物聯網設備超過100億台,預計到2030年這一數字將成長至254億台。因此,物聯網設備的激增是推動人工智慧在網路安全領域市場擴張的重要因素。
為了維持產業競爭優勢,人工智慧網路安全市場的主要企業正積極開發創新的企業安全解決方案。企業安全涵蓋一系列全面的措施和策略,旨在保護企業的資訊、資產、技術和營運免受各種威脅和風險的侵害。總部位於美國的網路安全公司 SentinelOne 的舉措便是這一趨勢的例證。 2023 年 4 月,SentinelOne 推出了一款利用生成式人工智慧和強化學習技術的尖端威脅狩獵平台。該平台整合了即時神經網路和基於語言模型的自然語言介面,使用戶能夠利用人工智慧管理和監控安全數據,即時獲取洞察,並無縫採取必要的行動。透過聚合來自不同來源的資訊,該平台無需任何程式設計技能即可推薦並執行回應措施。 SentinelOne 的目標是協助企業擴展網路安全營運規模,領先於不斷演變的威脅,並為未來建立堅實的防禦基礎。
網路安全人工智慧市場的領先企業正在部署基於人工智慧的產品,例如人工智慧網路安全助手,以獲得競爭優勢。人工智慧助理是一種利用人工智慧技術執行任務、提供資訊並協助使用者進行各種活動的電腦程式或應用程式。例如,總部位於加拿大的軟體公司 BlackBerry Ltd. 於 2023 年 10 月發布了一款專為安全營運中心 (SOC) 團隊設計的生成式人工智慧助理。這款企業級解決方案可作為 SOC 分析師,提供高階網路威脅分析和支持,從而增強首席資訊安全(CISO) 的工作效率。該助手利用私有的大規模語言模型 (LLM) 來確保準確性和資料隱私,並可無縫整合到 Cylance 控制台中,提供超越傳統聊天機器人體驗的自然工作流程。該助手專為 BlackBerry 的 Cylance AI 客戶客製化,能夠預測用戶需求並主動提供資訊,從而簡化 SOC 營運,應對不斷演變的威脅形勢和安全負責人面臨的資源限制等挑戰。
2024年9月,美國支付處理公司萬事達卡宣布將以26.5億美元收購Recorded Future。此舉旨在利用Recorded Future先進的AI主導威脅情報能力,加強萬事達卡的網路安全基礎設施。透過整合這些解決方案,萬事達卡旨在提升其有效識別和緩解網路威脅的能力。 Recorded Future以其創新的網路安全解決方案而聞名,這些解決方案提供即時威脅情報,幫助企業領先於潛在的安全風險。這項收購凸顯了萬事達卡致力於加強金融領域防禦日益複雜的網路威脅的決心。
網路安全人工智慧市場的主要參與者包括:英偉達公司、英特爾公司、賽靈思公司、國際商業機器公司、亞馬遜網路服務公司、微軟公司、帕洛阿爾托網路公司、CrowdStrike控股公司、諾頓LifeLock公司、Cylance公司、FireEye公司、Check Point軟體技術有限公司、Darktrace公司、McAfee公司、賽門鐵克公司、Fortinet公司、思科系統公司、Splunk公司、Varonis系統公司、趨勢科技公司、Sophos集團、Carbon Black公司、Dragos公司、Zscaler公司、CyberArk軟體有限公司、Lookout公司、Dragos公司、Zscaler公司、CyberArk軟體有限公司、Lookout、XM Cyberius公司。
2024年,北美是網路安全人工智慧市場最大的區域。全球網路安全人工智慧市場報告預測,亞太地區將在預測期內成為成長最快的區域。該報告涵蓋亞太地區、西歐、東歐、北美、南美以及中東和非洲。
網路安全人工智慧市場報告涵蓋以下國家:澳洲、巴西、中國、法國、德國、印度、印尼、日本、俄羅斯、韓國、英國、美國、加拿大、義大利和西班牙。
網路安全領域的人工智慧市場由各營業單位透過人工智慧安全、人工智慧培訓、教育、人工智慧使用者行為建模以及自動化人工安全流程所產生的收入所構成。市場價值還包括服務供應商銷售的或包含在其服務產品中的相關商品的價值。網路安全領域的人工智慧市場還包括電腦、電腦周邊設備和通訊的銷售,例如積體電路、智慧型手機、筆記型電腦、CPU 和現場閘陣列(FPGA)。該市場的價值為“出廠價”,即商品製造商或創造者向其他營業單位(包括下游製造商、批發商、經銷商和零售商)或直接向最終客戶銷售的商品價值。該市場中的商品價值也包括商品創造者提供的相關服務的價值。
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.
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 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.