India's informal credit sector represents a massive untapped opportunity, with 500 million people worldwide participating in savings groups that generate ₹1.4 lakh crore in member savings annually. According to the World Economic Forum, these savings groups operate with repayment rates above 95%, yet formal financial institutions rarely recognize this creditworthiness when assessing borrowers. The World Bank's Global Findex 2025 found that in low- and middle-income economies, twice as many adults borrowed from informal sources than from banks, with more than half of all borrowing still running through informal channels even in the region's most advanced markets.
India's retail lending sector has demonstrated robust growth with the retail lending book expanding by over 14% year-on-year, according to the latest industry report by CRIF High Mark. However, the country remains structurally under-leveraged with household debt ratio at approximately 41-42% of GDP. As reported by Mint, this suggests that India may not be experiencing the full extent of credit demand in the economy, as much of the growth has been concentrated in segments that are easiest to measure and serve.
Currently, only 17.8% of new loans are disbursed to first-time borrowers, highlighting a significant opportunity gap. According to CRIF High Mark data cited by Mint, India has the largest Gen Z and Gen Alpha populations, yet only 41% of new-to-credit borrowers are from these generations. The unserved segments include self-employed entrepreneurs from small towns, women building enterprises from home, and individuals participating in the digital economy with increasing financial independence. Many of these borrowers currently rely on informal credit sources such as friends, family, or local moneylenders.
The growing availability of digital data is transforming credit assessment capabilities. As reported by CRIF High Mark and Mint, smartphones, digital payments, e-commerce platforms, and online financial services have created digital footprints that help establish financial behavior and economic activity. Initiatives such as GST, digital payments, e-invoicing, and increasing business digitization have generated more transparent data trails for small businesses and self-employed individuals. Lenders now have access to transaction data, payment patterns, business cash flows, digital commerce activity, and account aggregators, expanding the information available for credit assessment.
Instead of relying heavily on traditional credit history, lenders can assess business performance using transaction data and alternative data sources. According to CRIF High Mark analysis reported by Mint, this approach helps build a clearer picture of creditworthiness for borrowers with limited credit histories. Advanced analytics can identify repayment capacity that traditional credit assessment methods may miss, particularly for emerging borrower segments. The World Economic Forum reports that CARE modeling suggests if even 10% of savings group members accessed formal financial services, this could unlock on the order of ₹1.6 lakh crore in additional capital. For financial institutions, this represents an untapped customer segment with demonstrated repayment discipline, low default risk, and a built-in accountability structure that reduces the cost of lending.
