市场调查报告书
商品编码
1569417
安全人工智慧市场规模、份额和成长分析:按类型、按产品、按技术、按应用、按行业、按地区 - 行业预测,2024-2031 年Artificial Intelligence in Security Market Size, Share, Growth Analysis, By Type, By Offering, By Technology (Machine Learning, Natural Language Processing ), By Application, By Vertical, By Region - Industry Forecast 2024-2031 |
2022年全球安全人工智慧市场规模为165亿美元,从2023年的205.6亿美元成长到2031年的1194.4亿美元,并且预计在预测期内(2024-2031年)将会成长。 24.60%。
近年来,人工智慧(AI)环境取得了长足进步,人工智慧已成为研究、製造、网路安全等各个领域降低成本的重要工具。谷歌搜寻引擎和 Facebook脸部辨识软体等人工智慧工具正在帮助分析和预防网路犯罪。该技术使系统能够在几毫秒内对威胁做出反应,从而加强网路安全工作,将人工智慧定位为关键的诈欺预防和漏洞管理策略。特别是,由于网路人工智慧能够提供主动防御机制和准确的威胁侦测,对网路人工智慧的需求正在不断增加。特别是,使用行为生物识别技术进行持续用户身份验证的需求日益增长。随着行业相关人员专注于整合机器学习演算法,安全情报前景预计将显着改善。此外,由于中小企业(SME)对采用这些先进技术的兴趣日益浓厚,基于人工智慧的网路安全解决方案市场预计将大幅扩大。分析师预测,美国安全人工智慧市场将在未来几年实现永续的复合年增长率,支持该领域的投资和创新潜力。这种成长反映了公司利用人工智慧功能来加强其网路安全基础设施并有效应对不断变化的数位威胁情势的更广泛趋势。
Global Artificial Intelligence in Security Market size was valued at USD 16.5 billion in 2022 and is poised to grow from USD 20.56 billion in 2023 to USD 119.44 billion by 2031, growing at a CAGR of 24.60% during the forecast period (2024-2031).
In recent years, the artificial intelligence (AI) landscape has experienced significant advancements, establishing AI as a crucial tool for reducing costs across various sectors, including research, manufacturing, and cybersecurity. Tools leveraging AI, such as Google's search engine and Facebook's facial recognition software, are instrumental in analyzing and preventing cybercrimes. This technology enhances cybersecurity measures by allowing systems to react to threats in mere milliseconds, positioning AI as a vital anti-fraud and vulnerability management strategy. The demand for Cyber AI is on the rise, particularly due to its ability to provide proactive defense mechanisms and precise threat detection. Notably, the need for continuous user authentication through behavioral biometrics is gaining traction. As industry stakeholders focus on integrating machine learning algorithms, the landscape for security intelligence is set to see substantial improvements. Moreover, the market for AI-based cybersecurity solutions is projected to expand significantly, driven by the increasing interest from small and medium enterprises (SMEs) in adopting these advanced technologies. Analysts predict that the U.S. artificial intelligence in security market will experience a sustainable compound annual growth rate (CAGR) in the coming years, underscoring the potential for investment and innovation in the field. This growth reflects a broader trend of businesses seeking to leverage AI capabilities to enhance their cybersecurity infrastructure and respond effectively to the evolving digital threat landscape.
Top-down and bottom-up approaches were used to estimate and validate the size of the global artificial intelligence in security 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 in security Market Segmental Analysis
Global Artificial Intelligence in Security Market is segmented by Type, Offering, Technology, Application, Vertical, and region. Based on Type, the market is segmented into Network Security, Endpoint Security, Application Security, Cloud Security. Based on Offering, the market is segmented into Hardware, Software, Services. Based on Technology, the market is segmented into Machine Learning (ML), Natural Language Processing (NLP), Context-aware Computing. 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 Vertical, the market is segmented into BFSI, Retail, Government & Defense, Manufacturing, Enterprise, Healthcare, Automotive & Transportation, and Others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & and Africa.
Driver of the global artificial intelligence in security Market
The proliferation of the Internet of Things (IoT) is acting as a significant market driver for the global artificial intelligence in security sector, as the rise in interconnected devices creates numerous vulnerabilities that amplify the risk of cyberattacks. This escalation in threats, coupled with a shortage of cybersecurity specialists, intensifies the demand for AI-driven security solutions that can efficiently analyze patterns, predict attacks, and respond in real-time. Furthermore, an increase in mobile malware incidents and stringent data protection regulations underscore the urgency for robust security mechanisms. As businesses become increasingly interconnected, the need for advanced AI technologies to safeguard diverse endpoints is more critical than ever.
Restraints in the global artificial intelligence in security Market
The global artificial intelligence in security market faces significant restraints stemming from escalating corporate executive cyber risks and limited security resources within organizations. These factors contribute to a pervasive sense of vulnerability, as many companies struggle to deploy effective AI solutions capable of addressing advanced and zero-day attacks, which are increasingly prevalent. Compounding these challenges is a notable shortage of skilled AI professionals, alongside a general lack of awareness regarding AI capabilities in cybersecurity. Together, these impediments are likely to stymie industry growth and adoption, hindering the full potential of AI technologies to enhance security measures over the forecast period.
Market Trends of the global artificial intelligence in security Market
The global artificial intelligence in security market is witnessing a notable trend with the emergence of AI TRiSM, a comprehensive framework focused on governing AI models. This framework emphasizes key elements such as fairness, robustness, and privacy, addressing the rising need for trust and transparency in AI applications. As enterprises increasingly adopt AI technologies, there is a pressing demand for robust governance practices to protect consumer interests and ensure model dependability. IT leaders are actively implementing AI TRiSM capabilities to enhance model interpretability and resilience against adversarial threats, ultimately driving growth and innovation in the AI security landscape.