市場調查報告書
商品編碼
1536768
AI模式風險管理市場評估:報價環,各部署模式,各風險類型,各用途,各終端用戶,各地區,機會,預測,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 |
根據預測,全球人工智慧模型風險管理市場規模將從2023年的49.8億美元成長到2031年的129.6億美元,2024-2031年預測期間複合年增長率為12.70%。該市場已顯著成長,預計未來將繼續擴大。
隨著世界各地的監管機構尋求強大而可靠的框架,人工智慧模型風險管理在全球範圍內蓬勃發展。 2024 年美國聯邦人工智慧風險管理法案要求聯邦機構使用美國國家標準與技術研究院 (NIST) 人工智慧風險管理框架並提高其實施的透明度。歐洲擬議的人工智慧法使用基於風險的分類來實現道德人工智慧的可靠部署。日本的人工智慧策略旨在確保人工智慧系統運作的透明度和問責制。標準化工作由美國國家標準與技術研究所 (NIST) 和歐洲人工智慧聯盟等主要組織領導。這些法規和指南正在促進市場成長,因為組織旨在滿足日益嚴格的標準,以降低風險並在全球建立對人工智慧技術的信任。
人工智慧模型風險管理必須根據聯邦貿易委員會 (FTC) 的規定解決人工智慧偏見問題。去年,消費者因使用數位支付管道的詐欺者而損失了約 88 億美元,這一數字凸顯了更嚴格的人工智慧監管的緊迫性。人工智慧偏見可能會導致不公平的結果、法律問題和消費者流失。考慮到這一點,公司擴大採用人工智慧風險管理框架來瞄準和監控這些偏見,並圍繞人工智慧的道德使用執行規則。因此,公司越來越多地尋找能夠檢測和減少偏見的解決方案,同時提供更高的透明度和監管合規性,從而推動市場需求。公司可以使用人工智慧來分析與任何活動相關的數據並養成安全的線上習慣。
由於網路安全威脅不斷上升,人工智慧模型風險管理市場的需求正在迅速增加。可以執行更多規避策略的網路攻擊正在導致企業身分盜竊和財務損失。根據《2024 年全球風險報告》,39% 的專家將網路攻擊視為最有可能在 2024 年引發產業危機的五大風險之一。這種擔憂正在讓位於人工智慧驅動的風險管理解決方案,該解決方案使組織能夠改進其安全實踐並在威脅變得危險之前識別它們。人工智慧可以預測漏洞,使企業能夠在違規發生之前保護自己並遵守嚴格的監管標準。
本報告提供全球AI模式風險管理市場相關調查,提供市場概要,以及報價環,各部署模式,各風險類型,各用途,各終端用戶,各地區趨勢,及加入此市場的主要企業簡介等資訊。
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.