Credit Cards vs Mobile Money: Two Paths to Digital Payments 2026
There is no single road to a cashless economy. High-income countries got there through cards layered on top of bank accounts; much of Africa, and increasingly Latin America, got there through accounts that live on a phone number. The two systems solve the same problem — moving money without cash — but they grew from different starting points, and the data shows they rarely grow in the same place at the same time.
Of the 217 economies in the FinStatGlobe dataset, 141 have Global Findex data on credit card ownership and 82 on mobile money accounts. Where both exist, the contrast is often stark.
The card world
Credit card ownership is concentrated in high-income economies, and the leaders have held their positions for a decade. Canada tops the list: 82.7% of adults owned a credit card in 2021 (the most recent Findex wave for most high-income economies), up from 72.3% in 2011. Israel follows at 79.1% in 2021, and the United States recorded 66.7% in 2021. Ownership in these markets is not just wide but active: 78.6% of Canadian adults used a credit card in 2021, as did 62.5% of American adults.
The card model presumes a lot of infrastructure — credit bureaus, bank relationships, merchant acquiring — that took decades to build. Where that stack exists, cards work well. Where it does not, cards have largely failed to spread.
The mobile money world
Mobile money inverts the model: the account is the phone, and the infrastructure is a network of human agents rather than bank branches. Kenya is the clearest case. In 2024, 87.5% of Kenyan adults had a mobile money account — the highest share of any of the 87 economies ranked on this measure — up from 58.4% in 2014. Over the same period, credit card ownership in Kenya went nowhere: 6.1% of adults in 2011, 4.4% in 2024.
The physical footprint explains a lot. Kenya had 1,069.2 mobile money agents per 100,000 adults in 2024 (IMF Financial Access Survey), against just 6.6 ATMs per 100,000 adults in 2023 (World Bank WDI). Cash-in and cash-out points are simply where people are.
Where the gap is widest
Ranking economies by mobile money account ownership and setting it against credit card ownership in the same survey makes the divergence visible. All figures below are 2024 Global Findex shares of adults.
| Economy | Mobile money account | Credit card ownership | Gap (pp) |
|---|---|---|---|
| Kenya | 87.5% | 4.4% | 83.1 |
| Ghana | 78.3% | 4.4% | 73.9 |
| Zambia | 69.3% | 2.3% | 67.0 |
| Uganda | 67.7% | 2.0% | 65.7 |
| Senegal | 66.9% | 9.1% | 57.8 |
| Mongolia | 64.0% | 5.5% | 58.5 |
| Gabon | 61.6% | 3.0% | 58.6 |
| Brazil | 58.2% | 43.5% | 14.7 |
All eight of these top mobile money markets are low- or middle-income economies, and in seven of the eight, credit cards reach fewer than one adult in ten.
Brazil and Argentina: the hybrid path
The table’s last row hints at a third pattern. Brazil is the rare large economy where both systems are growing at once. Mobile money account ownership went from 0.9% of adults in 2014 to 27.0% in 2021 to 58.2% in 2024 — a 31.2-percentage-point jump in three years — while credit card ownership also hit a record 43.5% in 2024, first in Latin America and the Caribbean on both measures. Argentina shows a similar mix: 56.7% of adults had a mobile money account in 2024 against 29.9% with a credit card.
This suggests the two systems are not strictly substitutes. In middle-income economies with functioning banks but patchy card penetration, phone-based accounts and cards can expand side by side, serving different transactions and different populations.
What the destination looks like
The endpoint of either path is the same: routine digital payment. Kenya, the mobile-money archetype, reached 89.3% of adults making or receiving a digital payment in 2024 — first among 36 Sub-Saharan African economies with data, and at 90.1% account ownership in 2024 it is in range of the saturation levels card-first economies took decades to reach. The lesson in the data is not that one model wins, but that the binding constraint is distribution — bank branches and card networks in one world, agents and SIM cards in the other.
Sources & method
All figures are taken directly from the FinStatGlobe derived datasets, which are built from the World Bank Global Findex (account, card, and digital payment shares of adults aged 15+), the IMF Financial Access Survey (agent density), and the World Bank World Development Indicators (ATM density). Observed values are reported with their actual survey or reporting year — 2024 for the latest Findex wave in most economies shown here, 2021 for most high-income economies. No figures on this page are projections. Gap columns are simple differences of the cited shares. See the methodology page for how series, ranks, and any labeled 2026 estimates are derived.