![]() |
市場調査レポート
商品コード
1755470
サイバーセキュリティにおける人工知能(AI)市場規模、シェア、成長分析、タイプ別、オファリング別、技術別、業種別、用途別、地域別、2025~2032年産業予測Artificial Intelligence (AI) in Cybersecurity Market Size, Share, and Growth Analysis, By Type (Network Security, Endpoint Security), By Offering (Hardware, Software), By Technology, By Vertical, By Application, By Region - Industry Forecast 2025-2032 |
||||||
|
サイバーセキュリティにおける人工知能(AI)市場規模、シェア、成長分析、タイプ別、オファリング別、技術別、業種別、用途別、地域別、2025~2032年産業予測 |
出版日: 2025年06月15日
発行: SkyQuest
ページ情報: 英文 265 Pages
納期: 3~5営業日
|
サイバーセキュリティにおける人工知能(AI)の世界市場規模は、2023年に235億米ドルと評価され、2024年の290億5,000万米ドルから2032年には1,582億1,000万米ドルに成長し、予測期間中(2025~2032年)のCAGRは23.6%で成長する展望です。
人工知能(AI)技術、特にサイバーセキュリティの市場は、サイバー攻撃の頻度と複雑さの増加により、大幅な成長を遂げています。自然言語処理(NLP)や機械学習(ML)などの先進的AIアプリケーションは、脅威の検出、対応、保護対策を強化するためにセキュリティ機関や政府機関によって活用されています。主要な洞察によると、行動バイオメトリクスによる強固なユーザー認証に対する需要が高まっており、産業の利害関係者は、セキュリティインテリジェンスを向上させるためにAIのポテンシャルを最大限に活用するMLアルゴリズムの開発を優先するよう求められています。さらに、銀行のようなセグメントでのプライバシーに関する懸念の高まりは、AI主導のサイバーセキュリティソリューションの必要性をさらに際立たせています。その結果、包括的なセキュリティソリューションに対する需要の高まりに対応するため、同市場は大幅な拡大が見込まれています。
Global Artificial Intelligence (AI) in Cybersecurity Market size was valued at USD 23.5 billion in 2023 and is poised to grow from USD 29.05 billion in 2024 to USD 158.21 billion by 2032, growing at a CAGR of 23.6% during the forecast period (2025-2032).
The market for Artificial Intelligence (AI) technologies, particularly in cybersecurity, is experiencing substantial growth due to the increasing frequency and complexity of cyberattacks. Advanced AI applications, such as natural language processing (NLP) and machine learning (ML), are being leveraged by security and government agencies to enhance threat detection, response, and protection measures. Key insights reveal a rising demand for robust user authentication through behavioral biometrics, pushing industry stakeholders to prioritize the development of ML algorithms that harness AI's full potential for improving security intelligence. Additionally, heightened privacy concerns in sectors like banking further underscore the necessity for AI-driven cybersecurity solutions. As a result, the market is poised for significant expansion to meet the escalating demand for comprehensive security solutions.
Top-down and bottom-up approaches were used to estimate and validate the size of the Global Artificial Intelligence (AI) in Cybersecurity market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.
Global Artificial Intelligence (AI) in Cybersecurity Market Segments Analysis
Global Artificial Intelligence (AI) in Cybersecurity Market is segmented by Type, Offering, Technology, Vertical, Application and region. Based on Type, the market is segmented into Network Security, Endpoint Security, Application Security and Cloud Security. Based on Offering, the market is segmented into Hardware, Software and Services. Based on Technology, the market is segmented intomachine learning, Natural Language Processing (NLP) and Context-aware Computing. Based on Vertical, the market is segmented into BFSI, Retail, Government & Defense, Manufacturing, Enterprise, Healthcare, Automotive & Transportation and Others. Based on Application, the market is segmented into Identity And Access Management, Risk And Compliance Management, Data Loss Prevention, Unified Threat Management, Fraud Detection/Anti-Fraud, Threat Intelligence and Others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.
Driver of the Global Artificial Intelligence (AI) in Cybersecurity Market
The surge in cyberattacks is a significant catalyst for the growing integration of AI in cybersecurity. Conventional security protocols frequently fall short in addressing the fast-evolving nature of threats, prompting a need for advanced solutions. AI technologies, with their ability to process vast datasets and detect patterns of wrongdoing, offer robust defense mechanisms against complex attacks, including common vulnerabilities and advanced persistent threats (APTs). As organizations seek to bolster their security frameworks, the adoption of AI-driven solutions becomes imperative, ensuring they can effectively navigate and counteract the ever-changing landscape of cyber threats.
Restraints in the Global Artificial Intelligence (AI) in Cybersecurity Market
The implementation of AI-driven cybersecurity solutions entails substantial investment in software, hardware, and specialized personnel, which can pose a challenge, especially for small and medium enterprises (SMEs) that often find these expenses prohibitive. This financial burden can deter SMEs from adopting such technologies, curbing their ability to enhance cybersecurity measures. Additionally, larger organizations, despite having more resources, may also face difficulties justifying the high costs associated with widespread AI deployment across various sectors of their operations. Consequently, these financial constraints represent a significant barrier to the broader integration of AI in cybersecurity practices.
Market Trends of the Global Artificial Intelligence (AI) in Cybersecurity Market
The integration of Artificial Intelligence (AI) into threat intelligence systems is a pivotal trend shaping the global AI in cybersecurity market. As cyber threats evolve in complexity, AI enhances the capacity to predict, detect, and mitigate risks in real-time by analyzing vast amounts of threat data from diverse sources, such as the dark web, social media, and network traffic. These sophisticated AI algorithms identify patterns and anomalies that signal potential attacks, enabling a proactive defense approach. Automating the correlation and analysis of threat intelligence not only provides timely and accurate insights but also fosters the development of scalable cybersecurity solutions, fortifying organizations against ever-evolving threats.