Dublin, March 17, 2025

(GLOBE NEWSWIRE) -- The "Artificial Intelligence Model Risk Management - Global Strategic Business Report" report has been added to ResearchAndMarkets.com's offering. The global market for Artificial Intelligence Model Risk Management was valued at US$6.7 Billion in 2024 and is projected to reach US$13.6 Billion by 2030, growing at a CAGR of 12.6% from 2024 to 2030. This comprehensive report provides an in-depth analysis of market trends, drivers, and forecasts, helping you make informed business decisions.

Revolutionizing Model Risk Management with AI

Artificial Intelligence (AI) is revolutionizing model risk management (MRM) by providing financial institutions, insurance companies, and other businesses with advanced tools to assess, monitor, and mitigate risks associated with AI-driven models. In traditional risk management, manual processes and simplistic models were used to evaluate potential risks in financial, operational, and strategic decision-making. However, as AI models have become more complex and embedded in critical business functions, the need for sophisticated and automated risk management solutions has grown substantially.

Driving Factors in AI Model Risk Management Market

The growth in the Artificial Intelligence in Model Risk Management market is driven by a combination of technological advancements, regulatory pressures, and the increasing complexity of AI-driven business operations. As organizations continue to integrate AI into core processes such as decision-making, fraud detection, and financial forecasting, the need to manage the associated risks grows.

Adoption of AI in Model Risk Management

The increasing reliance on AI models in sectors like banking, insurance, and investment is a major driver of AI adoption in model risk management. As financial institutions and corporations increasingly adopt AI for credit scoring, fraud detection, algorithmic trading, and underwriting, the complexity and scale of their models have expanded.

Key Insights:

Market Growth: Understand the significant growth trajectory of the AI Model Risk Management Software segment, which is expected to reach US$7.9 Billion by 2030 with a CAGR of 11%. The AI Model Risk Management Services segment is also set to grow at a 15.1% CAGR over the analysis period.

Regional Analysis: Gain insights into the U.S. market, valued at $1.8 Billion in 2024, and China, forecasted to grow at an impressive 11.9% CAGR to reach $2.1 Billion by 2030. Discover growth trends in other key regions, including Japan, Canada, Germany, and the Asia-Pacific.

Report Features: Comprehensive Market Data, In-Depth Regional Analysis, Company Profiles, Complimentary Updates.

Market Overview

Influencer Market Insights, World Market Trajectories, Economic Frontiers: Trends, Trials & Transformations, Artificial Intelligence Model Risk Management - Global Key Competitors, Percentage Market Share in 2025 (E), Competitive Market Presence - Strong/Active/Niche/Trivial for Players Worldwide in 2025 (E).

Market Trends & Drivers

Regulatory Scrutiny on AI Models Strengthens Demand for Risk Management Frameworks, AI-Driven Model Validation Tools Propel Growth in Financial Risk Management, Integration of Explainable AI (XAI) Sets the Stage for Enhanced Transparency, AI-Powered Bias Detection Tools Highlight Opportunities in Ethical Model Development, Growing Complexity of AI Models Spurs Demand for Comprehensive Risk Assessment Solutions.

Focus on Select Players

Some of the companies featured in this Artificial Intelligence Model Risk Management market report include: Accenture Plc, C3.ai, Inc., DataRobot, Inc., Deloitte Touche Tohmatsu Ltd., H2O.ai, IBM Corporation, LogicGate, Inc., McKinsey & Company, Microsoft Corporation, SAS Institute, Inc.

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