Mapping Africa’s developer ecosystem — and naming the two countries that earned the bet.
A software services firm wanted to expand its offshore developer footprint into Africa. Across five candidate countries, the firm needed someone to do the actual analysis. We built the country-by-country picture and named the two that earned the investment.
What the client faced.
Africa’s developer story is often told as a single narrative. It is not. Nigeria’s startup ecosystem, Kenya’s funding momentum, Egypt’s scale of STEM graduates, Ghana’s English-language advantage, and Uganda’s emerging market each tells a different story with different implications for an offshore delivery decision.
The client needed a country-by-country evaluation. The decision was not whether to go to Africa; it was which two countries, in what order, with what investment.
The deliverable, in concrete terms.
A five-country report covering each market on a parallel framework: population and STEM graduate flow; startup ecosystem and funding trends; developer salary bands by experience level; top employers and most-in-demand skills; demand patterns for specific coding languages and web vs mobile development; and a social, economic, and political risk read.
The report ranked the five countries against a weighted decision framework the client could re-run if conditions changed, and named the two markets that best matched their operating constraints.
Result — The client identified two countries as primary expansion markets, with a remote-first hiring strategy in one and active exploration of a dedicated development centre in the other.
Three differentiators that made this engagement different.
Five separate stories
We did not write an Africa report. We wrote five country reports, on the same framework, so the comparison was honest. Most Africa reports average the differences away; we kept them.
Salary bands, not averages
An average developer salary in Nigeria tells you nothing useful. Bands by experience level let the client model what their actual hires would cost.
Re-runnable framework
The decision matrix is a working artefact. The client can update inputs as the markets evolve and re-run the ranking.