Too little, too concentrated: why AI startup funding in Africa needs rethinking
Analysis finds African AI and tech funding is both too small and heavily concentrated in a 'Big Four' (Kenya, South Africa, Egypt, Nigeria), with emerging markets like Ghana, Morocco, Senegal, Tunisia and Rwanda underfunded despite promising startups and AI fundamentals.
One year after the AI Summit in Paris and ahead of the Global Summit on Artificial Intelligence in New Delhi, a new analysis warns that investment in African AI and tech startups remains both too small and too concentrated. In 2024 the continent’s so‑called "Big Four" — South Africa, Egypt, Kenya and Nigeria — captured 67% of equity tech funding, with Kenya taking around 24%, South Africa 20% and Egypt and Nigeria roughly 13.5% each. Between 2015 and 2022 the number of African startups receiving funding rose more than sevenfold, but from 2022 onwards "tighter economic conditions led to a 'funding squeeze' (a reduction in venture capital investment) that was more severe for African startups than in other regions of the world."
"The notion, likely inspired by the term Big Tech, suggests the existence of 'champion countries' in the technology sector," Claire Zanuso writes in the analysis for Bizcommunity, underlining how geography and sector bias shape where capital flows.
Concentration, sectoral bias and international capital
- Big Four share of equity tech funding in 2024: 67% (Kenya ~24%, South Africa ~20%, Egypt ~13.5%, Nigeria ~13.5%).
- 2015–2022: number of funded startups increased more than sevenfold; from 2022 a pronounced funding squeeze hit African startups.
- 60%–70% of funds raised in Africa come from international investors, particularly for rounds over $10–20 million.
- Africa accounted for 0.4% of global venture capital flows in 2020 and represents roughly 2.5% of the global AI market today.
The analysis highlights a strong sectoral tilt: capital flows predominantly into perceived lower‑risk sectors such as digital finance and "fintech", while edtech and cleantech are comparatively overlooked. This risk concentration reinforces the geographic clustering of investment in more mature ecosystems with visible exits and larger funding rounds.
At the same time, a group of emerging markets — Ghana, Morocco, Senegal, Tunisia and Rwanda — demonstrate “favourable AI fundamentals” and a promising pipeline of startups but remain underfunded. Ghana, Morocco and Tunisia together account for around 17% of African technology companies outside the Big Four, yet local financial structures struggle to meet their needs as investors focus on more structured markets.
Why ecosystems matter and what comes next
The report stresses that attracting capital requires more than compelling startups: countries must build structured entrepreneurial ecosystems that provide access to knowledge, skilled labour and support mechanisms such as accelerators, incubators and investors. It also points to broader structural hurdles: institutional weaknesses and perceptions of peripheral risk disadvantage emerging ecosystems in an already concentrated global competition for capital.
Looking ahead, the analysis invokes the AI Investment Potential Index (AIIPI) to argue that national AI adoption and investment readiness depend on economic, political and social factors as much as technological ones. With 60%–70% of African funding coming from external investors and the largest rounds clustered in the Big Four, steering capital toward underfunded but capable markets will require coordinated action to strengthen local ecosystems, diversify sectoral investment and make smaller markets more investable.
— Claire Zanuso, Bizcommunity, 3 March 2026