How Big Is the Gap?
The shortfall in trade and MSME finance is one of the largest unmet credit needs in the global economy, and India holds a disproportionate share of it.
- The global trade-finance gap — demand for trade finance that goes unmet — was estimated at around US$2.5 trillion in 2022, up from roughly US$1.7 trillion two years earlier. (Asian Development Bank, 2023 Trade Finance Gaps, Growth and Jobs Survey.)
- India's MSME credit gap — addressable demand not served by formal lenders — has been estimated at roughly ₹25 lakh crore (on the order of US$300–530 billion, depending on methodology and year). (IFC / Intellecap, Financing India's MSMEs, 2018; RBI Expert Committee on MSMEs (U.K. Sinha), 2019.)
- SMEs are rejected for trade finance at materially higher rates than large corporates, and the rejection rate is consistently worse for women-owned firms. (Asian Development Bank Trade Finance Gaps surveys, multiple years.)
Why MSMEs Matter So Much in India
The gap matters because of what sits inside it. India's MSME sector is not a niche — it is a structural pillar of the economy.
- MSMEs contribute roughly 30% of India's GDP and account for a large share of exports (commonly cited at around 45%). (Ministry of Micro, Small & Medium Enterprises, Government of India, annual reports.)
- The sector supports over 110 million jobs across more than 60 million enterprises — the bulk of them micro. (Udyam registration data / Ministry of MSME.)
Every rupee of trade finance that does not reach a viable MSME is therefore a drag on output, employment and exports — not just a missed lending margin.
Who Gets Left Out — and Why
The gap is not evenly distributed. It concentrates in predictable places, and the reasons are structural rather than a matter of borrower quality.
Small-ticket borrowers
The cost of underwriting a ₹40-lakh pre-shipment loan is not much lower than underwriting a ₹40-crore one — but the margin is a hundredth. When manual verification, document scrutiny and site visits eat the spread, lenders rationally turn away the small deals. The result is a viability floor below which good borrowers simply cannot get financed.
Pre-shipment, thin-file and first-time borrowers
As covered in our risks guide, pre-shipment finance is the hardest to underwrite because nothing has shipped yet. Borrowers with thin credit files, no prior banking relationship, or a first export order are exactly the ones a conventional, collateral-led process cannot read — so they are declined despite genuine orders in hand.
What’s changing — and what still blocks it
Policy has moved: RBI doubled collateral-free MSME limits and launched the Unified Lending Interface (ULI)— a consent rail that pipes a borrower’s data to lenders. But a rail moves data; it doesn’t resolve the judgement calls that actually stall lending. Credit teams still treat aGST technical bounce (a filing delay) as a hard default, still overlook a strong order book without property collateral, and still hold disbursal for weeks on manual contact-point verification. With MSME delinquencies rising, that caution only deepens.
This is the missing layer: turning the data ULI moves — and the registry, GST and consent sources beneath it — into evidence-linked, review-ready signals, so a thin file with a genuine order becomes checkable, and so financeable.
The regional inclusion deficit
Formal trade finance has clustered around metros and large industrial corridors. MSMEs in tier-2 and tier-3 cities, in the North-East, and in rural manufacturing clusters face the thinnest lender presence, the fewest relationship managers, and the least appetite for small-ticket pre-shipment risk. The same enterprise that would be financed in a metro is often un-bankable a few hundred kilometres away — not because it is riskier, but because the cost of checking it locally is higher and the data to underwrite it remotely has not been available. This regional deficit is the part of the gap that digital, source-verified underwriting is best positioned to close.
What Has Been Built — and What It Doesn't Reach
India has built remarkable public infrastructure around this problem. TReDS (RXIL, M1xchange, Invoicemart), launched under RBI's 2014 framework, has digitised and accelerated MSME invoice discounting against strong buyers. The GST system and its e-invoice (IRN) rails created, for the first time, a near-real-time, verifiable record of trade. Account Aggregator made consented financial data portable.
But these reach the post-shipment, strong-buyer slice best. TReDS depends on an approved invoice from a creditworthy anchor — it does not finance the supplier between order and dispatch, and it does not help the thin-file regional MSME with a genuine order but no anchor relationship. The hardest, most excluded slice — small-ticket, pre-shipment, regional — is precisely the one still served by slow, manual, metro-clustered processes.
Each rail solves a real piece of the problem — and each stops short of the same last mile: turning the data into a decision on a specific, thin-file deal.
| Rail | What it does well | Best reaches | Doesn’t reach |
|---|---|---|---|
| TReDS | Digitises invoice discounting against strong buyers | Post-shipment, approved-anchor invoices | Pre-shipment; MSMEs with no anchor relationship |
| GST e-invoice (IRN) | Near-real-time, verifiable record of trade | Invoice authenticity & goods movement | The judgement call on a thin file |
| Account Aggregator | Portable, consented financial data | Bank-cashflow signals | Whether this specific deal is real & unique |
| ULI | A consent rail piping borrower data to lenders | Data access, at speed | Turning that data into review-ready evidence |
The Opportunity
The unlock is not more capital — it is cheaper, faster, source-verified underwriting, so that small and regional deals clear the viability floor. If a lender can assemble a trustworthy, multi-source view of a deal in minutes instead of weeks — identity verified at source, relationships screened, capacity cross-checked — then the economics of the small-ticket pre-shipment loan change, and a large part of the gap becomes addressable.
That is the premise behind AssureLocker's PO Financing Risk Signals: synthesise registry, tax, banking and relationship data into one pack, so a credit team can decide on evidence — and so the deals that were previously too small or too far away to check become deals worth doing. Built on the same reusable DigiKYC / DigiKYB identity layer, the cost of the next check on the same party falls toward zero.
Sources
- Asian Development Bank — Trade Finance Gaps, Growth and Jobs Survey (2023 and prior years).
- International Finance Corporation (IFC) — Financing India's MSMEs (with Intellecap), 2018.
- Reserve Bank of India — Expert Committee on Micro, Small & Medium Enterprises (U.K. Sinha Committee), 2019; TReDS framework (2014).
- Ministry of Micro, Small & Medium Enterprises, Government of India — Annual Reports & Udyam registration data.
Figures in this article are indicative and drawn from the cited public sources; estimates vary by methodology, definition and year, and are reproduced here for context, not as precise current values. Always refer to the original sources for authoritative numbers. This is an educational overview, not financial or investment advice.