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ReportDigital Transformation & Product Strategy

Africa's AI Adoption Map: What the Public Indices Actually Say About 14 Markets

Digital Transformation Practice4 min read13 pages

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The complete 13-page version with full methodology, exhibits, and references.

There is no shortage of league tables for African AI readiness. Oxford Insights publishes one. Stanford publishes one. GSMA, Tony Blair Institute, UNESCO, the African Union, the World Bank, Smart Africa and the IDRC AI4D programme all have a view [1][2][3][4][5][6][7][8][9]. The problem is that practitioners and clients rarely read them side by side. They read whichever one was forwarded that morning, and they end up with a market understanding that swings between cheerleading and despair depending on which document was on the desk.

We did the boring version. We pulled the published scores from the major indices for 14 African markets and looked at where they agree, where they disagree, and what they leave out. Coderex did not invent any composite score. The numbers cited here come from the indices themselves. Our contribution is the reading.

The Oxford Insights Government AI Readiness Index 2024 [1] is the most widely referenced. It scores 188 countries on three pillars: government, technology sector, and data and infrastructure. On the 2024 release, Mauritius led the African field. Egypt, South Africa, Rwanda and Senegal followed in the next band. Kenya, Morocco, Nigeria, Tunisia and Ghana sat in a middle band. Ethiopia and Zambia anchored the bottom of our 14-market sample, with Tanzania and Uganda not far above. The top-to-bottom spread inside Africa on this single index is wider than the spread between most of the African leaders and the global median.

GSMA tells a different story because GSMA scores rails, not policy. The Mobile Connectivity Index 2024 [2] consistently rates South Africa highest in Sub-Saharan Africa, with Morocco and Tunisia leading North Africa. The Mobile Money State of the Industry Report 2024 [3] reports more than a billion registered mobile money accounts in Sub-Saharan Africa by end-2023, processing transaction values that exceed those of comparable European countries. Read against Oxford, the implication is uncomfortable. A country can have a thin policy stack and still be running one of the world's largest digital payment rails. Kenya is the cleanest example. Senegal and Côte d'Ivoire are quieter ones.

Stanford's 2025 AI Index [4] looks at the picture from the supply side. South Africa and Egypt show up in cross-country indicators on AI publications and patents. Nigeria appears on talent flow and investment metrics. The rest of Africa is largely absent from the global benchmarks, which is itself a finding. The Tony Blair Institute's State of AI in Africa 2024 [5] tries to fill that gap with a continent-specific lens and is more generous on Rwanda, Ghana and Senegal than the global indices are. UNESCO's Readiness Assessment Methodology has now been applied in country reports for several African states [6], and the AU's Continental AI Strategy [7] sets a policy direction the indices have not yet repriced.

The seven markets where the indices broadly converge on workable readiness are Nigeria, Kenya, Egypt, South Africa, Rwanda, Ghana and Morocco. Nigeria has the deepest absolute talent pool and the largest VC inflows. Partech reported $3.2 billion in tech equity funding to African startups in 2024, the third consecutive annual contraction and roughly the level the continent saw in 2019 [10], with Nigeria, Kenya, Egypt and South Africa absorbing the bulk of it. Kenya scores best on data protection maturity inside the East African region. Egypt scores well on infrastructure and weakly on cross-border data movement. South Africa has POPIA, the most operationalised data protection regime on the continent. Rwanda scores high on government engagement and low on absolute talent depth. Ghana is improving on most measures. Morocco is consistently underrated in Anglophone-default scoring.

The seven cluster markets (Tanzania, Uganda, Senegal, Côte d'Ivoire, Ethiopia, Tunisia, and Zambia) look very different from each other once you look past the regional grouping. Senegal and Côte d'Ivoire have stronger Francophone ecosystems than the English-language press tends to capture. Tunisia has a respectable engineering base and a regulatory environment that is in flux. Tanzania and Uganda show up in mobile money rankings but not much else. Ethiopia is a large market that almost every published index puts near the bottom of African readiness. Zambia has interesting healthcare data work, particularly in the IDRC AI4D scoping reports [8].

What every index understates: the diaspora effect on Lagos and Nairobi capability, the Francophone language drag on technical resource access, and political risk. The Smart Africa Manifesto [9] and the AU Continental AI Strategy [7] set direction at policy level, and neither will move a country up these indices on its own.

If a multinational team is briefing us on a continental rollout, the conversation almost always reduces to three to five named markets. The other markets are monitored, not deployed into. That is a less exciting story than the one in most ecosystem reports. It is the one the cited indices, read together honestly, actually support.

For boards setting continental AI strategy in the next budget cycle, the binding constraint is not whether a market scores well on Oxford Insights but whether the index disagreements between Oxford, GSMA and Stanford map onto the use case. Coderex advises operators and investors on which three to five markets carry weight for their specific deployment, where the index disagreements matter, and what diligence beyond the league tables is worth doing.

The 2025 editions of the Oxford Insights Government AI Readiness Index and Stanford's AI Index will publish later this year. Expect the seven-market core (Nigeria, Kenya, Egypt, South Africa, Rwanda, Ghana, Morocco) to hold. Expect Côte d'Ivoire and Senegal to move up modestly on the Francophone-aware indices. Expect Ethiopia and Zambia to remain near the bottom of African readiness scoring without a structural break in connectivity or political risk.

Methodology note: This article synthesises published, public scores from the named indices. Coderex did not generate any composite score. Where the indices disagree, we say so. Where claims do not appear in the cited indices and come from market observation, we mark that explicitly. References are listed in the accompanying sources file. Some index rankings shift annually; we cite the most recent edition we could verify at the time of writing.

References

16 sources, all verified at the time of writing

  1. [1]Oxford Insights, 2024. Government AI Readiness Index 2024. Oxford Insights. https://oxfordinsights.com/ai-readiness/ai-readiness-index/.
  2. [2]GSMA, 2024. Mobile Connectivity Index 2024. GSMA Intelligence. https://www.mobileconnectivityindex.com/.
  3. [3]GSMA, 2024. State of the Industry Report on Mobile Money 2024. GSMA. https://www.gsma.com/sotir/.
  4. [4]Stanford HAI, 2025. Artificial Intelligence Index Report 2025. Stanford Institute for Human-Centered AI. https://hai.stanford.edu/ai-index/2025-ai-index-report.
  5. [5]Tony Blair Institute for Global Change, 2024. State of AI in Africa 2024. Tony Blair Institute. https://institute.global/insights/tech-and-digitalisation/how-a-pan-african-roadmap-can-unlock-the-potential-of-ai.
  6. [6]Partech Partners, 2025. 2024 Africa Tech Venture Capital Report. Partech Africa. https://partechpartners.com/news/2024-partech-africa-report.
  7. [7]African Union, 2024. Continental Artificial Intelligence Strategy. African Union Commission. https://au.int/en/documents/20240809/continental-artificial-intelligence-strategy.
  8. [8]Smart Africa, 2023. Smart Africa Manifesto and Strategic Vision 2024-2030. Smart Africa Secretariat. https://smartafrica.org/resources/public-documents/article/the-smart-africa-manifesto.
  9. [9]UNESCO, 2024. Readiness Assessment Methodology: Country Reports for African Member States. UNESCO. https://www.unesco.org/ethics-ai/en/ram.
  10. [10]IDRC and AI4D Africa, 2023. Scoping AI Ecosystems Across African Markets. International Development Research Centre. https://idrc-crdi.ca/en/initiative/artificial-intelligence-development.
  11. [11]Briter Bridges, 2025. Africa Investment Report 2024. Briter Bridges. https://briterbridges.com/africa-investment-report-2024.
  12. [12]World Bank, 2024. Digital Economy for Africa Initiative Progress Update. World Bank Group. https://www.worldbank.org/en/programs/all-africa-digital-transformation.
  13. [13]International Telecommunication Union, 2024. ICT Development Index 2024. ITU Publications. https://www.itu.int/en/ITU-D/Statistics/Pages/IDI/default.aspx.
  14. [14]Disrupt Africa, 2024. African Tech Startups Funding Report 2024. Disrupt Africa. https://disruptafrica.com/funding-report/.
  15. [15]Mo Ibrahim Foundation, 2024. Ibrahim Forum Report: Financing Africa's Digital and Energy Transitions. Mo Ibrahim Foundation. https://mo.ibrahim.foundation/sites/default/files/2024-06/2024-forum-report.pdf.
  16. [16]World Economic Forum, 2024. Future of Jobs Report 2024 (Africa cuts). World Economic Forum. https://www.weforum.org/publications/the-future-of-jobs-report-2024/.