India’s small businesses are not short of ambition or demand. They lack affordable, formal credit. The gap is large enough to shape the economy and persistent enough that no single policy failure can explain it.
A 2025 SIDBI study with Crisil estimated the addressable credit gap for MSMEs at about ₹30 lakh crore, or roughly 24 percent of their debt demand. The gap was widest for trading businesses, services firms, rural enterprises and women-owned units.
The stakes go well beyond individual firms. According to a PIB factsheet citing the Economic Survey 2025-26, MSMEs account for about 31 percent of India’s GDP and nearly half of its exports. When they cannot borrow, they grow more slowly, hire fewer people, and struggle to invest in the equipment that would make them more productive.
Why does a sector this important struggle to borrow from banks and NBFCs that are actively looking for lending opportunities? The answer is structural. It lies in how lenders assess risk, what information they can see, and what kind of borrower the traditional system was designed for. The good news is that several of those structures are now shifting.
The core problem is information, not willingness
Lending is a judgement about the future made with information from the past. A bank deciding whether to lend to a large listed company has audited accounts, credit ratings, bond prices and years of repayment history. A bank looking at a ten person fabrication unit in a tier three town often has very little.
Economists call this information asymmetry. The borrower knows far more about the health of the business than the lender can verify. When lenders cannot tell good small borrowers from risky ones, they protect themselves in predictable ways. They raise rates, ask for collateral or simply lend less.
Higher rates create a further problem, known as adverse selection. The strongest small borrowers, who have other options, walk away from expensive credit. The ones who accept it are more likely to be desperate. Default rates rise, lenders become more cautious, and the cycle tightens.
The economics make it worse. Assessing a ₹15 lakh loan can take almost as much effort as assessing a ₹15 crore one, but it earns a fraction of the income. For a traditional branch based lender, small ticket MSME credit has long been expensive to underwrite and hard to scale.
Incentives inside lending institutions reinforce the caution. A loan officer who approves a small loan that later defaults may face scrutiny. One who declines a good borrower faces none. Over time, that asymmetry pushes lenders towards familiar borrowers, visible collateral and conservative limits.
Thin credit files and accounts built for tax
Many MSMEs have thin credit files. Some have never borrowed formally, so bureaus have little to report. Others borrow in the proprietor’s personal name, which blurs the line between household and business finances.
Financial statements add to the problem. In many small firms, accounts are prepared to meet tax obligations, not to show a lender how the business really performs. Profits may be understated, revenues may be partly unrecorded, and working capital cycles are rarely visible.
The result is a borrower who may be running a sound, growing business but looks weak on paper. The lender sees modest declared income, irregular bank entries and no repayment track record. The application stalls, or arrives at a rate and structure that does not fit the need.
Collateral rules designed for a different borrower
Traditional credit in India grew up around secured lending. Land, buildings and machinery gave lenders a fallback when information was poor. That model suited asset heavy manufacturers and established families with property to pledge.
It fits much of today’s MSME base poorly. Traders, service businesses and first generation entrepreneurs are often asset light. Their value sits in customer relationships, contracts and receivables, not in land. The SIDBI study found the credit gap was highest for trading businesses, at around a third of demand, largely because they struggle to offer collateral.
Policy has tried to loosen this constraint. According to a Ministry of MSME reply in Parliament in July 2026, scheduled commercial banks must not take collateral for micro and small enterprise loans up to ₹20 lakh, and CGTMSE can guarantee loans up to ₹10 crore. These are meaningful. But above those thresholds, and outside guaranteed products, collateral still drives many credit decisions.
Informal lending fills the gap, at a price
When formal credit is unavailable or too slow, businesses still need money. They turn to moneylenders, chit funds, relatives, and extended credit from their own suppliers. The SIDBI survey found that 12 percent of micro enterprises relied on informal lending, against 2 to 3 percent of small and medium firms.
Informal credit has real advantages. It is fast, flexible and based on personal knowledge rather than paperwork. But it is usually far more expensive, and it creates a trap. Repayments to informal lenders do not build a formal credit history, so the business stays invisible to banks, no matter how reliably it pays.
Delayed payments make every other problem worse
Access to credit and delayed payments are two sides of the same issue. The Economic Survey 2025-26 estimated that about ₹8.1 lakh crore owed to MSMEs is stuck in delayed payments. When customers pay late, a small firm’s bank statements show stress, its receivables age and its repayment capacity looks weaker than its order book deserves.
Lenders see the symptoms, not the cause. A business short of cash because a large buyer pays in 120 days can look identical, on paper, to a business short of cash because it is failing.
What has shifted
The MSME finance landscape has changed more in the past five years than in the two decades before. Most of the change comes from one idea: replacing hard-to-verify paperwork with verified digital data that lenders can actually trust.
GST data. GST returns give lenders a near real-time view of a business’s invoices, customers, and turnover. That data is filed with the government and difficult to fabricate at scale. GSTN has been connected to the Account Aggregator system as a data source since 2022, which lets businesses share it with lenders by consent. Specialized products have followed. SIDBI’s GST Sahay app, for example, has sanctioned credit limits of about ₹600 crore against more than 15,000 invoices.
Account Aggregators. The Account Aggregator framework lets a borrower share verified bank statements and other financial data with a lender in minutes, by digital consent. It has scaled quickly. According to Sahamati, the ecosystem enabled about ₹3.82 lakh crore of loans in FY 2025-26, with banks now close to non-banks in their share of AA-based lending.
Udyam registration. Free, digital, and linked to PAN and GST, Udyam gives small businesses a formal identity that lenders and government schemes recognize. More than 9.16 crore enterprises were registered on Udyam as of August 2026. Registration unlocks priority sector lending, guarantee schemes and, for micro and small enterprises, the statutory payment protections of the MSMED Act.
Cash flow-based lending. By combining these data sources, lenders can assess a business on its actual cash flows rather than its collateral. Public sector banks launched a credit assessment model built on digital footprints in 2025, using GST, bank statements and tax returns. The government reported that PSBs sanctioned over three lakh MSME applications worth more than ₹52,300 crore through it between April and December 2025.
Receivables-based finance. Invoice discounting, supply chain finance and TReDS let a small business borrow against invoices owed by creditworthy buyers. The lender prices the buyer’s credit, not just the supplier’s. For asset-light MSMEs with strong customers, this largely sidesteps the collateral problem. Invoice discounting on TReDS alone reached about ₹3.47 lakh crore in FY 2025-26, according to government data.
What has not changed yet
Progress is real, but uneven. Digital lending works best for businesses that already generate clean digital trails. Micro enterprises that trade largely in cash, operate below GST thresholds or keep informal books still struggle to show lenders what they are worth.
The SIDBI study also found that 35 percent of surveyed enterprises were not registered at all, often citing low awareness or fear of scrutiny. Women-owned businesses and rural enterprises continue to face wider gaps. And while data now flows faster, lending decisions above small ticket sizes still lean heavily on collateral and promoter guarantees.
A trust gap also remains. Many owners remain wary of sharing data or formalizing fully, especially where they worry about tax consequences. Technology can move information. It cannot, on its own, change behavior built up over decades.
Data quality is the next hurdle. Late or amended GST filings, mismatches between returns and bank statements, and gaps in digital records can all trip automated models. A business that looks healthy to a relationship manager can still be declined by an algorithm reading incomplete data.
How an MSME can become more bankable
The shifts above reward businesses that make their performance visible. A few practical steps make a noticeable difference.
- File GST returns on time, every time. Consistent filings are now one of the strongest signals a lender can see.
- Separate business and personal finances. A dedicated business account with regular, traceable flows is easier to assess than a mixed personal account.
- Register on Udyam and keep it current. It is free and opens doors to guarantee schemes and payment protections.
- Move collections to digital channels. Every rupee that passes through a bank account adds to the story your statements tell.
- Keep receivables clean. Clear terms, prompt invoicing and documented acceptance make your invoices financeable.
- Reconcile before you apply. Make sure your GST returns, bank statements and books tell the same story, because automated models read all three.
- Start with receivables finance if collateral is the barrier. Borrowing against invoices from strong buyers can build a formal repayment history that supports larger facilities later.
From collateral to cash flow
For decades, Indian MSMEs were judged on what they owned rather than what they earned. That model left millions of viable businesses outside the formal system, borrowing informally at high cost and staying invisible to the lenders who could have funded their growth.
The tools to change that now exist. GST data, Account Aggregators, Udyam, and cash flow-based underwriting are slowly moving lending from collateral to evidence. The businesses that benefit first will be the ones that make their evidence easy to see. For the rest, the gap is narrowing, but it will take deliberate effort from lenders, policymakers, and owners alike to close it. The direction of travel, at least, is now clear.
