ABA Editorial · Jul 26, 2025 · 14 min read
Over 30 million smallholder farmers operate across Sub-Saharan Africa, accounting for 80 percent of all farms and producing 70 percent of the region's food, according to IFAD. Despite this centrality, smallholders remain almost entirely absent from the loan books of traditional commercial banks. This report maps the smallholder economy, the structural reasons for its exclusion from formal finance, and the aggregator and nucleus farm models that have begun to change the equation.
The African smallholder farmer is the single most important category of actor in the continental food system and also one of the most poorly served by formal financial, market, and information institutions. According to the International Fund for Agricultural Development (IFAD), over 30 million smallholder farmers operate across Sub-Saharan Africa. They account for approximately 80 percent of all farms in the region and produce around 70 percent of its food. If African food security is a policy priority, the smallholder farmer is the primary lever. If African agritech is a commercial opportunity, the smallholder is the primary addressable customer. And yet, despite this centrality, the smallholder economy has remained structurally excluded from the financial services, formal markets, and agronomic support that their counterparts in other regions take for granted.
This report maps the smallholder economy, the structural reasons for its exclusion, and the aggregator and nucleus farm models that have begun to close the gap in specific crops and geographies.
Smallholder farmer populations vary significantly across African countries. Nigeria has approximately 38 million smallholders. Egypt has approximately 24 million. Kenya has close to 8 million. Ethiopia, Tanzania, Uganda, and the Democratic Republic of the Congo each have millions of smallholders operating at different scales and in different crop mixes. The aggregate across Sub-Saharan Africa is the 30 million plus figure that IFAD cites, but the distribution matters because intervention programs must engage with country-specific institutional, linguistic, and market conditions.
The typical African smallholder cultivates a plot of a few hectares, usually less than two. Household income from farming is modest and often supplemented by off-farm labor, remittances from family members in urban areas, and small trading activities. Cash reserves are thin and vulnerable to shocks (illness, school fees, weather events, input price spikes). The farming calendar imposes specific cash flow patterns that do not align with monthly loan repayment schedules or formal credit bureau timelines. These constraints are not incidental. They are the structural reality that any product or policy serving smallholders must accommodate.
Smallholder farmers are almost entirely absent from the loan books of traditional commercial banks across Africa. This is not because banks do not recognize the commercial opportunity. It is because the per-loan transaction costs of originating, underwriting, servicing, and collecting on small-ticket agricultural loans exceed the interest revenue those loans generate under commercial lending economics. Traditional credit bureau data does not exist for most smallholders. Formal income documentation is unavailable. Collateral is often limited to the land itself, which in many African jurisdictions has unclear title or cannot be pledged effectively.
Benjamin Njenga, co-founder of Apollo Agriculture, has described the gap directly in industry commentary: smallholder farmers are fragmented, lack farm records, have no bank accounts, and own a productive asset in their land but cannot get the money to invest in the tools that would improve yields. The gap between the asset and the financing is the specific problem that agri-fintech operators have built their businesses to address.
One of the most important structural innovations in African smallholder finance has been the aggregator model. Instead of lenders trying to originate loans directly with individual farmers, the lender works with an aggregator (a cooperative, a processor, a marketing company, or a dedicated agritech operator) who has existing relationships with farmer groups. The aggregator handles farmer identification, input distribution, production monitoring, collection of harvested output, and repayment.
This model solves the per-loan transaction cost problem by allowing the lender to deal with one aggregator rather than thousands of farmers. It also solves the information problem because the aggregator has direct visibility into farming operations that no bank could build independently. And it solves the collection problem because repayment can be structured around the aggregator's purchase of the harvested crop rather than requiring farmers to make cash payments from savings they may not have.
The Clarmondial Food Securities Fund and similar investment vehicles have built explicit strategies around financing aggregators that deploy technology to map plots, forecast yields, track input usage, and maintain traceability from farm to buyer. The visibility the technology provides supports better financing outcomes and helps target impact toward women, youth, and marginalized groups.
The nucleus farm model extends the aggregator logic by positioning a larger, commercially-run farm at the center of a network of smaller outgrower farms. The nucleus farm supplies inputs, shares equipment, provides agronomic training, and purchases the outgrower production at agreed prices. This structure has been used in several African countries for specific crops where the nucleus operator can demonstrate a stable commercial relationship with end-market buyers.
The advantage of the nucleus model is that it provides outgrower farmers with a credible commercial partner who has operational incentives to make the outgrower relationships successful. The disadvantage is that setting up nucleus farms requires substantial upfront capital and operational expertise, which limits the number of operators who can build them at scale.
Digital agritech platforms have attempted to solve the smallholder finance problem through alternative data, mobile-first onboarding, and automated credit scoring. Apollo Agriculture uses AI and machine learning to build customer profiles and make lending decisions remotely. Emata in Uganda has automated its entire loan process from data collection to credit scoring to disbursement, offering loans as small as UGX 60,000 (approximately USD 15) and reaching 38,000 dairy, coffee, maize, and oilseed farmers with approximately UGX 3 billion (approximately USD 810,000) in disbursements as of its reported metrics. These digital approaches work where mobile money penetration is deep, regulatory frameworks are supportive, and the target farmers are responsive to digital channels.
The digital approaches have limits. They work best in countries like Kenya where mobile money infrastructure is mature and smallholder digital literacy is high. They work less well in markets where mobile penetration is thinner, digital literacy is lower, or regulators have not yet provided clear rules for digital lending. And they do not solve the underlying productivity gap on their own. Providing finance to smallholders who cannot access improved inputs, markets, or agronomic support does not produce sustainably improved outcomes.
Three indicators will shape smallholder outcomes over the next year. First, whether aggregator-based financing scales beyond the small number of operators currently building it, which depends on both aggregator-side technology maturation and bank-side risk assessment capacity building. Second, whether digital lending platforms like Apollo, Emata, and their peers can extend beyond Kenya and Uganda into larger markets (Nigeria, Ethiopia, Tanzania) where the operational conditions are more challenging. Third, whether governments and development finance institutions continue to treat smallholder farming as a strategic policy priority or whether attention shifts to larger-scale commercial agriculture. The 30 million smallholder figure is likely to remain the defining statistic of African food security for at least another decade. Whether those farmers are reached by improved services is the question that defines the sector.