The global market for AI model risk-management (MRM) solutions is witnessing substantial growth, with the market size forecast to increase from approximately USD 6.41 billion in 2025 to around USD 14.55 billion by 2032. This expansion reflects heightened adoption of AI/ML models across enterprise operations—particularly in regulated sectors such as banking, insurance, and financial services—and a parallel rise in the need to govern the accompanying risks.
Key drivers include intensifying regulatory scrutiny of algorithmic decision-making, algorithmic transparency requirements, increasing operational model risk (model drift, bias, explainability gaps), and growing vendor-ecosystem complexity. In terms of structure, software solutions dominate the offering segment, while fraud detection, risk-reduction, regulatory compliance monitoring and model-inventory management rank among the leading application areas.
Regionally, North America holds the largest share, attributable to early AI adoption and mature regulatory infrastructure, with Asia-Pacific poised for faster future growth. For India’s insurance and banking sectors, this trend signals that the risk-management frameworks around AI deployment (pricing models, fraud analytics, underwriting algorithms) will become a key strategic investment. The insurance industry must address model validation, bias mitigation, audit trails and governance as AI becomes embedded in core functions.
For more details and structured learning, please explore our Fraud Risk Management Course.
