The AI Model Risk Management Market reports delivers an in-depth assessment of market size, share, and emerging trends, offering valuable insights into growth opportunities. It examines market segmentation and definitions, highlighting core components and key drivers of expansion. By applying SWOT and PESTEL analyses, the study evaluates the sector’s strengths, weaknesses, opportunities, and threats, while also considering political, economic, social, technological, environmental, and legal factors. Expert reviews of competitor strategies and recent developments provide a clearer view of regional dynamics and future market trajectories, establishing a strong foundation for strategic planning and informed investment decisions.
What will be the market size of AI Model Risk Management market 2030?
The Global AI Model Risk Management Market size was valued at USD 10.2 billion in 2024 and is projected to reach USD 18.89 billion by 2030. The market is also estimated to grow at a CAGR of around 10.79% during the forecast period, i.e., 2025-30.
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Who are the top companies operating in the AI Model Risk Management market?
The report features prominent companies operating in the AI Model Risk Management market and the successful strategies they have adopted. It also provides detailed insights into each company’s market share and their role in driving the industry’s growth. As per MarkNtel Advisors, top companies in AI Model Risk Management market: Alteryx, Amazon Web Services, Accenture, DataBricks, Google, Delteck, International Business Machines Corporation, Congruity360, Wolters Kluwer N.V., LogicManager, LogicGate, Oracle, Microsoft, ModelOp, SAS Institute, UpGuard, and others.
What is the key factor projected to fuel growth in the AI Model Risk Management Market between 2025 and 2030?
Rapid Adoption in BSFI Industry Driving Demand- The increasing adoption of AI in the BFSI industry is largely fueling the market demand. AI is being utilized by financial institutions for purposes including fraud detection, credit risk determination, and compliance with regulations. This transition in the sector began post-2020. These models can analyze the transactional behavior, social media usage, and geolocation data of the borrower to predict their creditworthiness. Further, these can detect anomalies also in their transactional data to detect if any fraudulent activity is done by the borrower. These models can run algorithms to compare policies, regulations, and operating procedures in banking institutions. However, the complexity and opacity of AI models pose a risk of biased algorithms and noncompliance with regulations, leading to data breaches.
AI Model Risk Management Market - Segmentation Analysis
- By Risk Type (Security Risk, Ethical Risk, Operational Risk),
- By Offering (Software, Services),
- By Application (Fraud Detection and Risk Reduction, Data Classification and Labelling, Sentiment Analysis, Model Inventory Management, Customer Segmentation and Targeting, Regulatory Compliance Monitoring, Others),
- By End User (BFSI, Retail & E-commerce, IT & Telecom, Manufacturing, Healthcare & Life Sciences, Media & Entertainment, Government and Public Sector) and Others
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How does the AI Model Risk Management Market vary across different geography?
By Region
- North America
- South America
- Europe
- The Middle East & Africa
- Asia-Pacific
This Section cover detailed analysis of revenue, market share and growth rate, historical data (2020-23) and forecast (2025-2030) of the following segmentation and geography.
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Comprehensive Table of Contents – AI Model Risk Management Market Analysis and Forecast, 2030
- Table 1: Introduction
- Table 2: Executive Summary
- Table 3: Market Regulations, Policies & Standards
- Table 4: AI Model Risk Management Market Size, Share & Scope, 2020-2030F
- Table 5: Market Trends & Developments
- Table 6: Market Dynamics (Key Drivers, and Challenges)
- Table 7: Market Hotspots & Opportunities
- Table 8: Market Value Chain Analysis
- Table 9: Market Outlook, 2020-2030F
- Table 10: Market Size & Analysis by Revenues (USD Million):
- Table 11: Market Size & Forecast 2020–2030 by Segmentation
- Table 12: Market Size & Forecast 2020–2030 by Geography
- Table 13: Key Strategic Imperatives for Success & Growth
- Table 14: Competitor Analysis of AI Model Risk Management Companies
Key Benefits for Industry Participants and Stakeholders
- Insight into emerging market trends and investment opportunities
- Understanding of regional market dynamics and competitive landscapes
- Data-driven forecasts to support strategic decision-making
- Access to industry benchmarks for performance evaluation
- Identification of potential risks and growth challenges
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