Why Millions of Indian MSMEs Still Don’t Qualify for Bank Loans?

Key Takeaways

• MSME credit in India surpassed ₹40 trillion in March 2025, up 20% YoY But millions of small businesses still lack access to formal loans because traditional lending does not take into account informal income or seasonal cash flows. 
   
• The SIDBI report notes that the current MSME credit gap is close to ₹30 lakh crore and experts and policymakers are promoting data-driven credit systems instead of traditional loan models.

Why Your Local Kirana Store Still Can’t Get a Bank Loan?

India’s 63 million MSMEs contribute nearly 30% to GDP and over 62% of all employment. Yet they remain starved of credit. The problem is not a lack of schemes. It is a mismatch between how traditional banks assess loans and how small businesses actually operate. 

Most MSMEs have seasonal income, partial cash records, and no collateral. Standard loan models were simply not built for them.

The danger over the long term is serious. If MSMEs cannot get credit at reasonable rates, their growth is stunted. Jobs disappear. Innovation slows. 

Only about 16% of total bank credit reaches the MSME sector, according to the RBI, despite MSMEs being central to India’s economy. This gap cannot be closed by pushing more loans through the same broken pipeline.

How does this change India’s Credit Story?

Data-driven credit is a game-changer for millions of small business owners. They can now be assessed on real financial behaviour instead of being turned away for lacking paperwork. 

Bank statement analysis, UPI transaction history, GST filings, and utility bills can all paint a reliable picture of a borrower’s ability to repay.

AI-powered lending models, leveraging alternative data such as digital payment trails and GST filings, could bridge an estimated USD 130-170 billion credit gap for India’s MSMEs, a PIB release said. 

India’s Digital Public Infrastructure such as Aadhaar, UPI, and the Unified Lending Interface is building the foundation for AI-led financial inclusion.

What Experts Are Saying: Smart Credit, Not Just More Credit

Experts are clear that volume alone will not solve this problem. 

Vaibhav Joshi, Co-Founder and CEO of EasyPay, says, “There is a clear MSME credit crunch for the sector and the main reason for this is a lack of financial inclusion, especially in Tier 3 cities and below.”

On the policy side, Finance Minister Nirmala Sitharaman urged fintechs and financial institutions to leverage ULI’s interoperable, digital-first framework to support the growth of MSMEs and bridge the long-standing credit access gap. 

ULI aggregates financial and non-financial data such as GST filings, bank statements, digital payment records, and utility bills. This allows for data-driven underwriting even for borrowers with limited or no credit history.

The solution lies in layered risk assessment. Lenders must combine bureau data with live cash flow signals. Alternative records, like receipts of mandi or milk collection data, can be reliable inputs for rural businesses.