Ten dairy cows in Paraná, Brazil, have been turned into digital tokens. The animals, fitted with Cowmed collars carrying encrypted identities, were used as collateral for nearly $20,000 in credit. The transaction is a small pilot, but it points to a much bigger problem: the global gap between what small businesses need to borrow and what they can access now stands at $5.7 trillion. That figure climbs to $8 trillion when informal enterprises are included.
Why tokenization matters for the credit gap
Sub-Saharan Africa accounts for roughly $331 billion of that finance gap. African smallholder farmers have only 6% credit access. Livestock is one of the most common assets in rural areas, but banks rarely accept animals as collateral. They can't easily verify the animal is alive, healthy, or hasn't been pledged elsewhere. Tokenization — using digital records linked to physical assets — could solve that. Brazil's pilot shows the concept works on a small scale. The question is whether it can scale in countries where the need is largest.
Ethiopia's livestock finance roadmap
Ethiopia has the largest livestock population in Africa. Its central bank registry already names cattle, camels, sheep, goats, and poultry as eligible collateral. The country is building a livestock identification and traceability system. Its 2025-2030 agricultural finance roadmap estimates livestock finance demand at ETB 911 billion. That's a huge number for a country where most farmers have no formal credit. The new system could unlock that demand — if lenders trust the digital records.
Nigeria's ear tags and unborn offspring
Nigeria has the largest near-term financing gap among the group. The IFC estimates unmet credit demand at $32.2 billion. Nigeria's central bank registry allows pledging livestock including unborn offspring, and checks for double pledging. The country also runs a separate ear tag and digital passport system. A $500 million livestock program includes $70 million specifically for finance. But the gap remains enormous. Tokenization could help, but it has to work alongside existing systems.
Kenya as the control case
Kenya's Movable Property Security Rights Registry operates 24/7. By 2025, over 7.2 million farmers were registered. In the year to June 2023, lenders registered 34,638 livestock assets as collateral, part of KSh 5.1 trillion in credit supported by movable assets. Kenya serves as a control case. Tokenization must prove it can lower the haircut lenders apply, cut interest rates, confirm an animal is alive and healthy, speed up substitution of collateral, and stop double pledging. Kenya's existing system sets a high bar.
Pakistan's missing insurance link
Fewer than 200,000 of Pakistan's 3.2 million small and medium enterprises have formal credit access. Livestock accounts for about 14.6% of GDP and over 62% of agricultural value added. In Sindh province, just over 10% of farmers hold formal loans, and roughly 80% of rural livestock holders have no land to pledge. Banks generally decline animals as collateral because livestock insurance barely exists. The World Bank found only 16% of farmers with 7-50 animals qualified as bankable. Pakistan makes the clearest case that tokenization needs insurance and reliable veterinary data bundled in. Without those, a digital collar is just a fancy tag.
The Brazil pilot shows the technology works. But for tokenized livestock to close the $5.7 trillion gap, it has to prove itself in Kenya, survive Ethiopia's scale, navigate Nigeria's dual systems, and solve Pakistan's insurance problem. That's a long list of tests.
