AI-Driven Growth: Nomura Forecasts Indian Non-Bank Lenders to Outpace Banks
Key Takeaways
- A landmark report from Nomura indicates a structural shift in India's financial landscape, with non-banking financial companies (NBFCs) projected to outgrow traditional banks.
- This acceleration is fueled by the aggressive integration of Artificial Intelligence, which is revolutionizing credit underwriting and customer acquisition in the world's most populous nation.
Mentioned
Key Intelligence
Key Facts
- 1Nomura projects NBFCs to grow at 18-20% annually, outpacing the 14-15% growth expected for traditional banks.
- 2AI integration has reduced loan turnaround times (TAT) from 3-5 days to under 10 minutes for digital-first lenders.
- 3Alternative data usage for credit scoring has expanded the addressable market to over 200 million previously unbanked individuals.
- 4The Reserve Bank of India's Scale-Based Regulation (SBR) framework is aligning large NBFCs with banking standards.
- 5Co-lending partnerships between banks and NBFCs have seen a 40% year-over-year increase in volume.
| Metric | ||
|---|---|---|
| Projected Growth | 14-15% | 18-20% |
| Primary Data Source | Credit Bureau/Collateral | Alternative Data/AI Models |
| Customer Acquisition | Branch-Heavy | Digital-First/Mobile |
| Operational Cost | High (Legacy Systems) | Low (Cloud/AI Native) |
Analysis
The Indian financial sector is standing at a technological crossroads, according to a comprehensive new analysis by Nomura. The report suggests that non-bank financial companies (NBFCs) are poised to significantly outpace traditional commercial banks in growth over the coming years. This shift is not merely a cyclical trend but a structural transformation driven by the rapid adoption of Artificial Intelligence (AI) and machine learning. While traditional banks have long relied on legacy systems and physical branch networks, NBFCs are increasingly operating as tech-first entities, leveraging AI to bridge the massive credit gap that exists in India’s emerging economy.
At the heart of this transformation is the evolution of credit underwriting. Historically, Indian banks have been conservative, focusing on collateralized lending and customers with established credit histories. However, AI-driven NBFCs are now utilizing alternative data—ranging from UPI transaction patterns and utility bill payments to social media activity and e-commerce behavior—to build sophisticated risk profiles for the 'underbanked.' This allows for near-instantaneous loan approvals and a dramatic reduction in turnaround times (TAT), which has become a critical competitive advantage. Nomura notes that where traditional banks might take days to process a small business loan, AI-enabled lenders are completing the process in minutes, capturing a larger share of the micro, small, and medium enterprise (MSME) market.
The Indian financial sector is standing at a technological crossroads, according to a comprehensive new analysis by Nomura.
Furthermore, the operational efficiency gained through AI is reshaping the cost structures of these lenders. By automating customer service through advanced natural language processing (NLP) bots and using predictive analytics for debt collection, NBFCs are maintaining leaner operations than their banking counterparts. This efficiency allows them to offer competitive rates while maintaining healthy margins, even as they target higher-risk segments. The report highlights that the 'India Stack'—the country's digital public infrastructure including Aadhaar, UPI, and the Account Aggregator framework—acts as a massive force multiplier for these AI models, providing a steady stream of verified, real-time data that was previously inaccessible.
What to Watch
However, this rapid growth does not come without challenges. The Reserve Bank of India (RBI) has been proactive in tightening regulations for the NBFC sector to prevent systemic risks. The implementation of the Scale-Based Regulation (SBR) framework has brought larger NBFCs under a regulatory regime similar to that of commercial banks. Nomura suggests that while this increases compliance costs, it also lends greater stability and credibility to the sector, making it more attractive to institutional investors. The report also points to a growing trend of 'co-lending' models, where banks provide the capital and NBFCs provide the AI-driven sourcing and underwriting technology, creating a symbiotic relationship that benefits the broader ecosystem.
Looking ahead, the divergence in growth rates between NBFCs and banks is expected to widen as AI models become more refined and data-rich. Nomura anticipates that the most successful players will be those that can balance aggressive AI-led expansion with robust risk management protocols. For investors, the Indian NBFC space is increasingly being viewed not just as a financial play, but as a high-growth technology play. As AI continues to lower the barriers to financial inclusion, the sector is likely to remain a primary engine of credit growth in India, potentially redefining the role of traditional banking in the digital age.
Sources
Sources
Based on 2 source articles- greekherald.comIndia non - bank lenders seen growing faster than banks as AI transforms lending : Nomura reportMar 12, 2026
- afghanistansun.comIndia non - bank lenders seen growing faster than banks as AI transforms lending : Nomura reportMar 12, 2026
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| Signal on this page | What it tells you |
|---|---|
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