Africa Fintech Second Wave: How Embedded Finance and B2B Credit Move Beyond Mobile Money

Why Payments Are No Longer the Whole Story

Sub-Saharan Africa controls nearly 70% of global mobile money accounts and processes over $800 billion annually in mobile money transactions. Kenya’s mobile money transactions already exceed 50% of GDP. The first wave of African fintech — M-Pesa, MTN Mobile Money, Wave, Orange Money — was a genuine infrastructure revolution: it created a payment layer in markets without formal banking access, gave hundreds of millions of people their first financial identity, and proved that digital financial services could operate at continental scale.

But payments revenue is now plateauing as a share of total fintech value creation. According to Pan African Visions’ analysis of BCG’s 2026 fintech research, payments currently represent 70–80% of fintech revenues across Africa — a concentration that reflects the first wave’s success but also its ceiling. Payment processing fees compress in competitive markets. Transaction volume growth requires proportional infrastructure investment. And the businesses and consumers that payment rails serve still face the problem that payments solved but didn’t eliminate: access to credit.

The second wave is about monetizing the data and relationships that the payment infrastructure created. Mobile money transaction history is a credit signal. E-commerce purchase patterns are a risk profile. Utility payment regularity is an income proxy. The fintech companies extracting value from these signals — digital lenders, embedded finance providers, B2B credit platforms — are where the next $55 billion in African fintech revenue is being built.

The Credit Gap That Defines the Opportunity

The scale of Africa’s credit gap defines the size of the second-wave opportunity precisely. More than half of African adults still lack formal credit access. SMEs across the continent face a financing shortfall exceeding $330 billion, the largest unmet business credit need of any region globally. A supplier waiting 90 days for invoice settlement, a small retailer unable to buy inventory in bulk, a contractor who wins a public sector contract but can’t fund mobilization — these are the credit problems that payment infrastructure created visibility for but did not solve.

The second-wave model is different from traditional bank lending in three structural ways. First, it uses alternative data sources — mobile money histories, e-commerce activity, utility payment patterns — that banks cannot or do not use, reaching borrowers with no formal credit history. BCG notes that fewer than 10% of African fintechs currently access comprehensive, interoperable data systems, which means the majority of credit-relevant alternative data is still untapped.

Second, it operates through embedded channels — loans disbursed within an e-commerce checkout flow, credit extended through an agricultural input platform, working capital financing embedded in a logistics management system — rather than through standalone credit apps that require active borrower acquisition. Embedded lending reduces customer acquisition cost dramatically and aligns repayment with the transaction that the credit financed.

Third, it targets the B2B segment specifically. Business-to-business payments and credit in Africa and the Middle East are projected to reach $162 billion by 2033 according to Techcabal’s analysis of digital payment markets. B2B credit is higher-margin than consumer lending because the ticket sizes are larger, the repeat purchase cycle is predictable, and the business data available for underwriting is richer than individual consumer data.

What the Second Wave Actually Looks Like in Practice

The abstract case for embedded finance and B2B credit is easy to make. The more useful analysis is how these models are actually manifesting in 2026 and what distinguishes them from the first wave.

1. Supply Chain Finance — The Largest B2B Credit Segment

Supply chain finance — where a fintech extends credit to a supplier against a confirmed purchase order or invoice from a creditworthy buyer — is the most scalable B2B model on the continent. The underwriting risk is on the buyer (typically a large corporation or government entity with verifiable payment history), not the supplier. The credit decision is partially de-risked by the purchase order.

This model has spread rapidly across agricultural commodity supply chains, where input finance — seed, fertilizer, equipment — is the critical credit event in the planting cycle. Bundling input finance with market linkage (assured offtake from a processor or exporter) reduces the agricultural credit risk that traditional banks price out of reach for smallholder farmers.

2. Embedded Lending at E-Commerce Checkout

Africa’s e-commerce growth at roughly 35% annually since 2020, according to Techcabal’s digital payments research, has created a captive credit demand at the checkout stage: consumers who want to buy but cannot pay the full price at delivery. Buy-now-pay-later (BNPL) products embedded in e-commerce checkout flows leverage mobile money transaction history as a credit signal, extend credit in real time, and collect repayment through the same payment infrastructure.

The embedded model is more efficient than standalone consumer credit because the purchase intent is already present — the underwriting decision happens at the moment of transaction rather than during a separate application process. Repayment defaults are also lower because the borrower has a direct stake in the platform relationship.

3. Cross-Border Working Capital for Trade Finance

Intra-African trade accounts for less than 20% of the continent’s total trade volume — compared to 60% in Europe. The structural barrier is not tariffs (though AfCFTA is reducing those) but payment friction and working capital constraints. A trader moving goods from Nairobi to Kinshasa needs working capital for the period between shipping goods and receiving payment — a gap that can stretch to 60-90 days across multiple borders.

Cross-border payment costs average 6–10% of transaction value and settlement times stretch multiple days. PAPSS’s expansion of cross-border instant payment in local currencies is the infrastructure precondition for trade finance products at scale — once the payment leg is reliable, the working capital product can be priced and offered. The B2B trade finance segment is where PAPSS integration creates the most direct revenue opportunity for second-wave fintech.

What This Means for Fintech Operators Entering the Second Wave

The structural shift from payment revenue to credit and embedded finance revenue has direct implications for how fintech companies should be positioning their product and capital strategies in 2026.

1. Build the Data Infrastructure Before Building the Credit Product

The alternative data advantage only exists if the data is captured and structured. Fintech operators with existing payment or e-commerce platforms should invest in data infrastructure — structured transaction histories, behavioral scoring models, repayment tracking — before launching credit products. A credit product launched without proprietary data infrastructure will underwrite on the same signals available to traditional banks, competing on price rather than information advantage.

2. Partner with Corporates to Source B2B Credit Origination

The most capital-efficient B2B credit model uses a corporate anchor — a large buyer or distributor — for origination rather than building individual SME relationships one at a time. The corporate anchor has existing supplier relationships, verified purchase order data, and a vested interest in suppliers having working capital access. A fintech that partners with a FMCG distributor to finance its distributor network originates credit through an existing commercial relationship rather than through direct marketing.

3. Design for PAPSS Integration from Day One for Cross-Border Products

Any fintech targeting cross-border B2B credit in Africa should build its settlement architecture around PAPSS compatibility from the product design stage. Retrofitting cross-border payment rails into an existing credit product is more expensive than designing for them initially, and PAPSS membership is growing rapidly — the corridors that are unavailable today may be operational by the time a product reaches the market.

The Failure-Path Comparison

The second wave has a specific failure mode that the first wave did not: over-leverage of mobile money transaction data as a sole underwriting signal. First-wave lending platforms in East Africa that scaled BNPL products aggressively on mobile money history data discovered that transaction volume correlates weakly with repayment capacity during economic stress events. In a market downturn or currency depreciation cycle, high-transaction mobile money users can be significantly over-leveraged.

The second wave’s durability depends on genuinely richer data — not just more mobile money transaction volume but structured business data, supplier-buyer relationships, and payment behavior across multiple data sources. BCG’s projection that fewer than 10% of African fintechs currently access comprehensive data systems is both a critique and a roadmap: the operators that build interoperable data infrastructure will have structurally better underwriting than those that rely on a single data source.

The six-fold revenue expansion from $10B to $65B by 2030 is achievable — but not uniformly. Markets with more advanced digital identity infrastructure and more developed mobile money ecosystems will compound faster. The operators that survive the second-wave transition will be those that treated data infrastructure investment as a prerequisite, not as a follow-on.

Frequently Asked Questions

Sources & Further Reading

• Africa’s Fintech Second Wave Takes Shape — Pan African Visions
• Africa Digital Payments — TechCabal
• Digital Public Infrastructure as Africa’s Interconnecting Lifeline — DPI Africa
• Digital Public Infrastructure: A Practical Approach for Africa — Carnegie Endowment