ABA Editorial Board · Feb 7, 2026 · 10 min read
The USD 330 billion African SME credit gap is the most-cited statistic in African fintech. Development finance institutions quote it in every pitch deck. Our view is that the number, while technically correct, has become a trap. It leads operators to build products that address the wrong segment of the gap, and it leads investors to fund business models that cannot close it. Here is the gap we should be talking about instead.
Every pitch deck for an African SME lending startup in the last five years has quoted the same number. The International Finance Corporation estimates that the African small and medium-sized enterprise credit gap is over USD 330 billion. This is the difference between the credit African SMEs need to grow and the credit they actually receive from formal financial institutions. The number is real, it is carefully calculated, and it represents a genuine economic problem. It has also, in our view, become a trap. It leads operators to build products that address the wrong segment of the gap, and it leads investors to fund business models that cannot actually close it at scale. Practitioners who have spent years trying to underwrite African SME credit know the problem we are describing. It is time to say it out loud.
The headline number aggregates three very different credit gaps into a single figure, and each one requires a completely different kind of solution. The first is the gap for formal SMEs with audited accounts, collateral, and regulatory documentation but which are still rejected by commercial banks because the banks consider them too small or too risky. This is a banking problem, and the solution is improved credit underwriting at existing banks, not new fintech infrastructure. The second is the gap for semi-formal SMEs with consistent revenue but limited documentation, such as retailers with strong daily transaction volumes but no audited financial statements. This is the gap that embedded finance operators like OmniPay address successfully, using transaction data as a substitute for traditional underwriting inputs. The third is the gap for informal microenterprises operating entirely outside the formal economy. This is the largest gap numerically and the smallest per-borrower, and it requires a fundamentally different approach based on group lending, reputation tracking, and distribution through existing social infrastructure.
The problem with the USD 330 billion framing is that it treats all three gaps as if they were addressable by the same kind of product. They are not. A digital lender optimized for semi-formal SMEs cannot serve informal microenterprises at the same unit economics. A group lending operator optimized for informal microenterprises cannot compete with commercial banks for formal SME business. Trying to serve all three segments with a single product is how fintechs end up underwater on unit economics regardless of how elegant their technology is.
Look at the African SME lending operators who have achieved genuine profitability with durable non-performing loan ratios. The pattern is consistent. OmniRetail's OmniPay in Nigeria maintains NPLs below 0.5 percent on approximately USD 4 million in monthly disbursement. Pezesha in Kenya operates at smaller scale but has built disciplined underwriting through its financial literacy and debt counselling program, which screens borrowers before they reach the lending stage. Float in Ghana focuses on cash flow management alongside credit, serving a specific segment of SMEs who need treasury tools as much as they need loans. None of these operators is trying to close the USD 330 billion gap. Each is serving a narrow, well-defined slice of it with a product designed for that slice.
The operators that have failed have typically done so because they tried to serve too broad a customer base with the same credit product. The 2021-2022 African fintech funding cycle produced several digital lenders with aggressive growth targets that required serving every possible SME segment simultaneously, and most of them have since either shrunk, pivoted, or shut down. The ones that survived did so by narrowing their target customer, not by broadening it.
Senior capital allocators at African development finance institutions tell us, in private if not in public, that the USD 330 billion number is as much a political tool as an economic one. It is large, memorable, and justifies continued DFI concessional capital deployment. When the number gets quoted in an investment committee meeting, it substitutes for a rigorous analysis of whether the specific operator being funded can actually address a defined subset of the gap. Investment decisions get made on the strength of the number, not on the strength of the operator's product-market fit with a specific customer segment. This is a recipe for capital being deployed into businesses that cannot earn a return.
We have heard this frustration from multiple practitioners inside the African SME lending sector, particularly those running smaller, more disciplined operations. Their view is that the USD 330 billion framing draws venture capital and DFI attention toward operators with the biggest growth stories rather than toward operators with the most durable unit economics. Over time, this distorts the sector toward capital-intensive, growth-at-all-costs business models and away from capital-efficient operators serving specific customer niches.
Instead of "the USD 330 billion gap," we suggest the sector start quoting three separate numbers, each with its own product implication. The gap for documented formal SMEs, which commercial banks could close with better underwriting. The gap for semi-formal SMEs with transaction data, which embedded finance operators are actively closing. And the gap for informal microenterprises, which requires a fundamentally different approach that combines lending with social infrastructure and which remains largely unaddressed. Each of these three gaps is smaller than USD 330 billion but each has a realistic path to being closed. The USD 330 billion number, by aggregating all three, creates the impression that a single product category can solve the problem. No product category can. The operators most likely to make real progress are the ones who admit that publicly and focus on the slice of the gap they can actually address.