Global AI Model Risk Management Market to Hit USD 18.89 Billion by 2030, Leading PLayer - Amazon Web Services, Oracle & Microsoft

AI Model Risk Management Market Overview and Insights

The AI Model Risk Management Market is anticipated to grow steadily during the forecast period [2025-2030], with a base year of [2024]. This growth is driven by evolving technologies, changing consumer preferences, and expanding applications across various industries.

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What's Driving AI Model Risk Management Market Growth?

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.

As per the US Treasury Department, the use and testing of AI technologies has increased in about 78% of financial institutions for fraud detection and risk management. This creates a higher market demand as these organizations are required to follow compliance standards, which necessitate AI model risk management. Also, major institutions like JP Morgan Chase are using over 300 AI models in production that create a substantial need for model risk oversight. AI is becoming a core in financial operations, making AI model risk management a necessity while fueling the market growth globally.

AI Model Risk Management Market Size, Share & Revenue

The size of AI Model Risk Management market was valued at USD 10.2 billion in 2024, and it and is projected to reach USD 18.89 billion by 2030. Along with this, the market is estimated to grow at a CAGR of around 10.79% during the forecast period 2025-2030.

Time Frame Covered in the Report:

• Historical Years: [2020-2023]

• Base Year: [2024]

• Forecast Period: [2025-2030]

Key Players in the AI Model Risk Management Market

Prominent AI Model Risk Management companies contributing to market development include:

• Alteryx
• Amazon Web Services
• DataBricks
• Google
• Delteck
• International Business Machines Corporation
• Congruity360
• Wolters Kluwer N.V.
• LogicManager
• LogicGate
• Oracle
• Microsoft
• ModelOp
• SAS Institute
• UpGuard
• Others

These players are investing in innovation, expanding their geographical footprint, and adapting to dynamic market needs.

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AI Model Risk Management Industry Segment and Geographical Breakdown

By Risk Type

> Security Risk
> Ethical Risk
> Operational Risk

By Offering

> Software

>> By Type
>>> Model Management
>>> Bias Detection
>>> Explainable AI Tools
>>> Others

>> By Deployment Mode
>>> Cloud
>> On-Premises

> Services
>> Professional Services
>> Consulting & Advisory
>> Integration & Deployment
>> Support & Maintenance
>> Training & Education
>> Managed 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
> Others

By Region

> North America
> South America
> Europe
> Middle East & Africa
> Asia Pacific

Growth Challenge in the AI Model Risk Management Market:

Cybersecurity Risks Impeding Market Growth- Cybersecurity threats have become a top concern in the global market. The growing incorporation of AI across industries has created new threats, mainly from hackers targeting vulnerabilities in AI systems. For instance, the 2025 cyberattack on several Australian superannuation funds revealed out-of-date digital defenses that resulted in massive financial losses. Approximately USD 500,000 was lost by 4 members as a result of credential stuffing attacks from the accounts of 600 members, which underlines the importance of strong AI-powered security controls.

Moreover, the emergence of generative AI models such as ChatGPT, FraudGPT, and WormGPT has enabled cybercriminals to create realistic phishing lures and influence public opinion with deepfakes. These rising threats highlight the need for strong AI risk management strategies that secure systems and ensure reliable, safe AI operations in the ongoing complex risk landscape. This will remain a major concern during the forecasted period.

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Table of Contents: AI Model Risk Management

• Table 1: Market Size & Analysis by Revenues (USD Million)
• Table 2: Market Share & Analysis by Risk Type
• Table 3: Security Risk
• Table 4: Ethical Risk
• Table 5: Operational Risk
• Table 6: Market Size & Forecast by Offering (USD Million)
• Table 7: Market Size & Forecast by Deployment Mode (USD Million)
• Table 8: Market Size & Forecast by Application (USD Million)
• Table 9: Market Size & Forecast by End User (USD Million)
• Table 10: Market Size & Analysis by Region (USD Million)
• Table 11: North America AI Model Risk Management Market Size & Analysis (USD Million)
• Table 12: South America AI Model Risk Management Market Size & Analysis (USD Million)
• Table 13: Europe AI Model Risk Management Market Size & Analysis (USD Million)
• Table 14: Middle East & Africa AI Model Risk Management Market Size & Analysis (USD Million)
• Table 15: Asia Pacific AI Model Risk Management Market Size & Analysis (USD Million)
• Table 16: Global AI Model Risk Management Market Value Chain Analysis
• Table 17: Company Profiles Overview

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