市场调查报告书
商品编码
1536768
AI模式风险管理市场评估:报价环,各部署模式,各风险类型,各用途,各终端用户,各地区,机会,预测,2017年~2031年AI Model Risk Management Market Assessment, By Offering, By Deployment Mode, By Risk Type, By Application, By End-users, By Region, Opportunities and Forecast, 2017-2031F |
根据预测,全球人工智慧模型风险管理市场规模将从2023年的49.8亿美元成长到2031年的129.6亿美元,2024-2031年预测期间复合年增长率为12.70%。该市场已显着成长,预计未来将继续扩大。
随着世界各地的监管机构寻求强大而可靠的框架,人工智慧模型风险管理在全球范围内蓬勃发展。 2024 年美国联邦人工智慧风险管理法案要求联邦机构使用美国国家标准与技术研究院 (NIST) 人工智慧风险管理框架并提高其实施的透明度。欧洲拟议的人工智慧法使用基于风险的分类来实现道德人工智慧的可靠部署。日本的人工智慧策略旨在确保人工智慧系统运作的透明度和问责制。标准化工作由美国国家标准与技术研究所 (NIST) 和欧洲人工智慧联盟等主要组织领导。这些法规和指南正在促进市场成长,因为组织旨在满足日益严格的标准,以降低风险并在全球建立对人工智慧技术的信任。
人工智慧模型风险管理必须根据联邦贸易委员会 (FTC) 的规定解决人工智慧偏见问题。去年,消费者因使用数位支付管道的诈欺者而损失了约 88 亿美元,这一数字凸显了更严格的人工智慧监管的紧迫性。人工智慧偏见可能会导致不公平的结果、法律问题和消费者流失。考虑到这一点,公司扩大采用人工智慧风险管理框架来瞄准和监控这些偏见,并围绕人工智慧的道德使用执行规则。因此,公司越来越多地寻找能够检测和减少偏见的解决方案,同时提供更高的透明度和监管合规性,从而推动市场需求。公司可以使用人工智慧来分析与任何活动相关的数据并养成安全的线上习惯。
由于网路安全威胁不断上升,人工智慧模型风险管理市场的需求正在迅速增加。可以执行更多规避策略的网路攻击正在导致企业身分盗窃和财务损失。根据《2024 年全球风险报告》,39% 的专家将网路攻击视为最有可能在 2024 年引发产业危机的五大风险之一。这种担忧正在让位于人工智慧驱动的风险管理解决方案,该解决方案使组织能够改进其安全实践并在威胁变得危险之前识别它们。人工智慧可以预测漏洞,使企业能够在违规发生之前保护自己并遵守严格的监管标准。
本报告提供全球AI模式风险管理市场相关调查,提供市场概要,以及报价环,各部署模式,各风险类型,各用途,各终端用户,各地区趋势,及加入此市场的主要企业简介等资讯。
Global AI model risk management market is projected to witness a CAGR of 12.70% during the forecast period 2024-2031, growing from USD 4.98 billion in 2023 to USD 12.96 billion in 2031. The market has grown significantly and is set for continued expansion.
AI Model Risk Management is on a global rise as regulators across the globe look at solid and reliable frameworks. The United States Federal Artificial Intelligence Risk Management Act of 2024 requires federal agencies to use the National Institute of Standards and Technology (NIST) AI Risk Management Framework to enhance transparency with implementation. The AI act proposed by Europe uses risk-based classification to enable trustworthy deployment of ethical artificial intelligence. Japan's AI strategy seeks to ensure transparency and accountability in the operation of AI systems. Standardization efforts are led by key associations such as National Institute of Standards and Technology (NIST), and the European AI Alliance. Together, these regulations and guidelines contribute to market growth as organizations aim to meet increasingly stringent standards that are necessary for risk reduction and trust-building in AI technologies around the world.
For instance, in June 2023, the European Union's AI Act, the world's first comprehensive AI regulation, sets strict rules on high-risk AI applications, ensuring safety and transparency, while banning harmful uses and fostering innovation.
Mitigation of AI Bias to Fuel AI Model Risk Management Market
AI model risk management needs to tackle AI bias in accordance with the Federal Trade Commission (FTC). Consumers lost nearly USD 8.8 billion to scammers taking advantage of digital payment channels last year, the figure highlights an urgency for more rigorous AI regulation. AI bias can cause unjust results, legal issues, and consumer abandonments. Considering this, companies are increasingly adopting AI risk management frameworks to target and monitor these biases thereby enforcing the rules for ethical usage of AI. This has in-turn driven the market demand, as dignity organizations look for solutions that can detect and mitigate biases while delivering better transparency and compliance with regulations. Businesses can use AI to analyze data related to every activity, creating secure online habitats which lead the way for trust and innovation in a society that has little room for human error, when it comes to compliance of consumers and regulatory needs.
For instance, in May 2024, IBM Corp. unveiled major updates to its watsonx platform, including open-sourced Granite models and InstructLab, alongside strengthened partnerships with major tech firms to drive enterprise AI innovation.
Rising Cybersecurity Concerns Drive the AI Model Risk Management Market Growth
The AI model risk management market need has soared due to rising cybersecurity threats. Able to implement more evasive tactics, cyberattacks have led enterprises towards identity theft and financial loss. According to the Global Risks Report 2024, 39% of experts observe cyberattacks as one of top-five risks, likely triggering an industry crisis in 2024. This concern is giving way to AI-powered risk management solutions, allowing organizations to improve security practices and identify threats before they become hazardous. Artificial intelligence can predict vulnerabilities, hence companies are able to protect themselves before a breach occurs and comply with strict regulatory standards.
For instance, in April 2024, Oracle Corporation introduced its AI-powered Financial Services Compliance Agent to enhance banks' anti-money laundering efforts. The service offers cost-effective scenario testing and improved risk assessment capabilities.
Government Initiatives Acting as a Market Catalyst
Global government efforts are propelling AI model risk management market across the world. Strong security and transparency requirements of the European Union Artificial Intelligence Act will create new market opportunities for risk management solutions. The United Kingdom National AI Strategy, for instance, is disproportionately concerned with cybersecurity and subsequently prioritizes investment in AI risk management solutions. Cybersecurity and the ethical use of AI have been given importance in India's National AI Portal, as well is Singapore's AI Governance Framework where research and development for advanced risk management tools should be used. The AI Action Plan of Australia and the Pan-Canadian AI Strategy support use cases for cybersecurity in enhancing performance through AI capabilities, propelling the market revenue. These controls and techniques allow companies to build a full AI risk management platform.
For instance, in January 2023, NIST launched the AI Risk Management Framework (AI RMF 1.0), fulfilling a mandate from the National AI Initiative Act of 2020. This voluntary framework offers guidance for managing AI risks, promoting trust and accountability.
BFSI Sector Leading in AI Model Risk Management Market
BFSI is at a forefront in the AI model risk management market as it uses advanced technologies for complex problems in an age where cyber threats are accelerating and regulations tightening, banks want AI powered by machine learning to manage risk better. Artificial Intelligence analyzes huge data and makes important things such as credit risk assessment, fraud detection, and regulatory compliance which is super easy to do in real-time. This proactive alternative replaces the conventional measures of reacting to the market and provides substantial operational resilience. Incorporating AI/ML tools into compliance processes accelerates financial institutions, making them pioneers of risk management innovation by improving process efficiency and security.
North America Dominates AI Model Risk Management Market Share
North America dominates the AI model risk management market due to its advanced technological infrastructure and large-scale investments made by the government. Efforts to adopt AI have been quite high in the United States and Canada, where very minimal regulations or government policies are used as launchpads by innovators into how they want to apply the learnings above output representation networks for ideas such as Targeted Learning Machines. Other recent initiatives include the Federal Infrastructure Modernization Act, which strengthens cyber defenses while issuing guidance on how to prioritize AI technologies under FedRAMP.
For instance, in June 2023, Moody's Analytics, Inc. and Microsoft Corp. announced a strategic partnership to develop advanced risk, data, and analytics solutions using Microsoft's Azure OpenAI Service and Moody's proprietary data.
Future Market Scenario (2024 - 2031F)
Governments worldwide will introduce stricter regulations, requiring more rigorous oversight and compliance measures for AI models, boosting the demand for advanced risk management solutions.
The need for robust risk management strategies will surge, driving innovation and market growth as industries integrate AI models across various applications.
Organizations will prioritize sophisticated risk management frameworks to safeguard data integrity and system security with rising cyber threats targeting AI systems.
AI models will evolve to offer more accurate risk predictions and proactive mitigation strategies, transforming how businesses manage and respond to potential threats.
Key Players Landscape and Outlook
Prominent players in the AI model risk management market are developing sophisticated models that can automatically identify and correct errors. Alphabet Inc. and Microsoft corp. deploy their cloud infrastructure with AI skills, as IBM Corp. and Oracle Corporation are offering a few of the most difficult competition from long standing analytics subsidiaries. Moody's Analytics, Inc. specializes in financial analytics and AWS builds scalable cloud services.
In July 2024, Moody's Analytics, Inc. launched a GenAI-powered Early Warning System for commercial real estate, offering real-time alerts and risk assessments to enhance portfolio management.
All segments will be provided for all regions and countries covered
Companies mentioned above DO NOT hold any order as per market share and can be changed as per information available during research work.