Women-led MSMEs in Bangladesh lead in digital finance - but loans access stays low

20 October 2026

Women entrepreneurs in Bangladesh are embracing digital financial services at a faster pace than their male counterparts. However, those gains in digital readiness have yet to translate into improved access to formal credit. That's the key finding of a new nationwide study of 329 micro, small, and medium enterprises (MSMEs) across Bangladesh. The study surveyed MSMEs in all eight administrative divisions, as well as financial executives, fintech operators, and industry experts.

The data points to a striking contradiction: women-led businesses are more digitally savvy, but receive a tiny fraction of total formal SME credit. The study found that 95.2% of MSMEs face liquidity shortages, and the nationwide financing gap was estimated at $2.8 billion. Removing those barriers to capital should be a priority for policymakers and the financial sector.

The study, reported by the Dhaka-based English newspaper The Daily Star, found that women-led enterprises use an average of 2.75 digital platforms, compared to only 1.88 for male-led businesses. 83% of the surveyed women said they were interested in digital credit, amid a 74% demand across all MSMEs.

Yet, despite this digital-first outlook, women entrepreneurs statewide received less than 10% of total SME loans distributed by commercial banks and financial institutions. Many of these lenders still prioritise fixed-asset collateral and extensive paper documentation - assets and records that are harder for women to produce, given systemic asset-ownership disparities.

Those findings may come as a surprise. Interest in digital financial services has rocketed in recent years, in Bangladesh and around the world. Fintechs and mobile banking services have grown explosively in emerging markets including India, Pakistan, Nigeria, Mexico, and Kenya. Many see digital tools as a way to reach the wide pools of unbanked or underbanked consumers and microenterprises who don't have access to a physical bank branch.

Some reports suggest that the digital gender gap has been closing in recent years. A report last year by the Alliance for Financial Inclusion (AFI), an international financial regulator forum, found a relatively small gender difference in access to bank accounts, digital accounts, and electronic payments in many countries, and called on policymakers to prioritise digital financial inclusion.

If financial literacy increasingly means digital literacy, then the women entrepreneurs of Bangladesh seem well-positioned. But adoption of digital financial services is not a guarantee of access to credit. And studies from other countries confirm that women entrepreneurs face barriers in both digital and traditional banking circuits.

A 2023 study of Kenya's FinAccess surveys, published in the Journal of Emerging Market Finance, found that women were less likely to apply for digital loans, and these limited applicants got lower approval rates. Looking at traditional banking services, the study found no significant gender gap in loan access and usage. The authors argue that digital financial services did not narrow the lending gender gap, and may have worsened it, due to biases in the algorithmic credit-scoring models.

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The Digital Credit Activation Toolkit, published in April 2024 by women's focused financial-inclusion organization Women's World Banking, said that women-owned enterprises are a large and unreached part of the MSME market. They make up 23% of total MSMEs but account for 32% of the MSME finance gap. Here, too, the digital could help build those alternatives faster.

While digital financial services can rise quickly, in part because of their low initial cost compared to opening a physical branch, doing it effectively is complicated. Cutting through the rhetoric, it requires financial institutions to reach beyond existing clients, to offer education in digital literacy and in new financial products, to navigate cultural norms, community opinions, and backend compliance realities.

It also requires a strong, affordable, safe, and fast digital infrastructure. Investing in that infrastructure is hard when it has no clear payback. It's possible to look at uneven lending rates tied to gender and race as evidence of unfair penalties - a digital redlining. But it's also possible that the sparse loan data on women's businesses means that lenders simply don't believe in their creditworthiness - and don't see the need to invest.

And moving away from traditional credit assessments is difficult and costly. A Women's World Banking white paper pointed to success in digital financial-inclusion initiatives in Kenya, where fintech companies worked with nongovernment organizations to boost financial literacy. That gets very expensive, and very analytic. The same companies use mobile data, social-media activity and other alternative data points to assess credit risk in the "gig economy". But it's a long way from that revolution in consumer credit to its small-enterprise cousin. MSME lending efforts - to women or men - still rely on an intimate knowledge of the business and industry, and the human judgment, flexibility, and creativity that enrolled social and community knowledge.

Studies recommend a specific set of responses: training for female entrepreneurs in financial and digital literacy, mobile banking pilots to reduce the reach to seek out women-led MSMEs, and including those businesses in ongoing data sharing. The AFI policy report says wins in adoption of digital financial services will depend on regular consumer feedback, and on greater collaboration between policymakers, the private sector, civil society, and multilateral organizations.

Women-led enterprises are a diverse group, with varying needs and goals. Some digital credit products have done a good job of figuring out what those are, and developing services to meet them. But if the opportunity for policy change is to be converted into real and equitable finance, the effort will need the commitment of the development community, the deepest pockets of the tech companies, both the social controls and the social signals from the local communities - and the results will have to be evaluated and tweaked and tried again. Each experience, however, puts a stake in the ground for the future.