Women’s Financial Inclusion via Fintech: Real Progress or Hype?
The current narrative surrounding global finance suggests that the digital revolution has solved the problem of gender-based economic exclusion.
Across developing economies, the rapid expansion of mobile money platforms is frequently cited as the ultimate bridge to parity. However, a significant gap remains between being digitally banked and being financially empowered. While millions of women now possess mobile wallets to send and receive payments, they remain systematically excluded from the credit, insurance, and investment tools necessary to build long-term wealth.
An account is not the same as access, and this remains the central challenge in the women’s financial inclusion story.
The numbers that show progress and their limits
The World Bank’s Global Findex 2025 report found that 73% of women in low- and middle-income economies now have a financial account, up from 66% in 2021. This is a significant shift, and mobile money has driven the vast majority of it.
However, the number beneath that headline remains sobering: approximately 700 million women worldwide still have no financial account. While the progress is genuine, so is the distance it has yet to cover. Furthermore, the aggregate figure fails to show the quality of inclusion beneath the surface. UN Women’s February 2026 analysis of East Africa describes this phenomenon as shallow inclusion.
This refers to a scenario where women have accounts but face persistent barriers to insurance, pensions, and business credit. Having an account and building wealth with it remain very different things across most of the markets fintech claims to be transforming.
Mobile money: What it changed and what it didn’t
M-Pesa’s impact in Kenya is undeniably real. Research by Tavneet Suri and William Jack found that access to the platform lifted around 2% of Kenyan households out of extreme poverty between 2008 and 2014, with the strongest effect seen in female-headed households. The formal financial inclusion gender gap, which stood at 12.7% in 2006, narrowed significantly as mobile money reached women faster than traditional banks ever could.
But 2024 data from Kenya’s Central Bank tell a different story: women accounted for only 39% of the total value of mobile money transactions, while men accounted for 61%. While the gender gap in mobile money usage narrowed, the gap in banking, insurance, and pensions stayed essentially unchanged.
Mobile money opened a door, but it did not fundamentally change the economic structures behind it.
The digital literacy barrier nobody planned for
Fintech’s inclusion promise assumes a smartphone in every hand and a user who knows how to operate it. The GSMA Mobile Gender Gap Report 2025 found that 885 million women in low- and middle-income countries still do not use mobile internet, and the adoption rate has stalled. Women are currently 14% less likely than men to use mobile internet, with around 60% of those not connected living in South Asia and Sub-Saharan Africa.
This barrier is not purely an infrastructure issue. An entry-level handset costs 24% of a woman’s monthly income in these markets, compared to 12% for men. Even among women aware of mobile internet, digital skills and safety concerns consistently rank as the top reasons for not using it. Social and cultural norms often shape whether using a phone feels “permitted,” rather than just whether one is available. A platform designed around assumptions of digital comfort effectively filters out its intended users before they even arrive.
What loan access data actually reveals
An IFC survey of 114 fintech firms in emerging markets found that 63% of lending-focused fintechs reported that women-owned SMEs accounted for less than a quarter of their loan portfolios. This remains true even though women borrowers consistently show lower default rates and stronger customer loyalty.
The mechanism behind this exclusion is familiar. Research on Kenyan health SMEs published in Nature in 2025 found that female-owned businesses received first-loan amounts of €10,400, compared to €18,321 for male-owned businesses, even after controlling for facility type and location. Women operating informally often lack the documentation, collateral, and transaction history that modern credit models require. While the algorithm may not discriminate intentionally, it scores inputs that systematically exclude the people it was supposedly designed to reach.
In this way, women’s financial inclusion in lending sits at the same junction as algorithmic bias more broadly: the tool simply inherits the system’s existing exclusions.
Where the gap shows up in fintech design
The inclusion promise of fintech often assumes that removing a physical branch removes the barrier. For many women, it does; for others, it simply relocates the barrier to a less visible location.
| Barrier | What Fintech Changed | What Stayed the Same |
|---|---|---|
| Geographic access | Mobile money reaches rural areas without branches | Requires a smartphone and stable connectivity |
| Documentation | Some platforms accept alternative ID | Informal workers still lack a verifiable history |
| Credit scoring | Mobile transaction history used as a proxy | Women’s lower transaction volumes produce lower scores |
| Digital literacy | No branch staff needed | Self-service interfaces require skills many women lack |
The pattern holds across every row: fintech removes one layer of exclusion only to surface the next. Each barrier cleared reveals another deep-seated challenge underneath it.
What IT leaders and platform architects should know
For organizations building on fintech APIs or deploying mobile financial platforms, the design decisions that affect women’s financial inclusion are not abstract policy questions; they are core product specifications.
Identity verification flows that require documentation that informal workers lack will exclude a predictable demographic before an application is even complete. Similarly, credit scoring models trained strictly on formal transaction histories will underestimate the creditworthiness of populations where financial activity runs through informal channels. Interfaces designed for high smartphone literacy will inevitably show drop-offs at specific funnel points that analytics will surface if the data is disaggregated by gender.
The IFC’s Her Fintech Edge report found that fintechs using sex-disaggregated data in product design showed stronger outcomes for women customers. Firms that were not collecting this data simply could not identify where the drop-off was occurring.
You cannot fix what you are not measuring, and currently, most platforms are not measuring it.
Distilled
The current state of women’s financial inclusion is a paradox of rising ownership and stagnant empowerment.
While mobile money has successfully bridged the geographic gap by onboarding millions of women into the digital economy, this “shallow inclusion” rarely extends to high-value services such as credit, insurance, or pensions. Structural barriers, including the disproportionate cost of hardware, a persistent digital literacy divide, and credit algorithms that penalise informal transaction histories, ensure that having a digital wallet does not equate to having financial agency.
For platform architects and IT leaders, the challenge is no longer about opening accounts; it is about redesigning the underlying verification and scoring models to ensure that the transition from informal to formal finance doesn’t leave half the population behind at the digital gate.
