Why AI Start-Up Funding in Africa Remains Too Concentrated

As global leaders gather in New Delhi for the Global Summit on Artificial Intelligence — one year after the AI Summit in Paris — attention is once again turning to how AI can support development in emerging markets.

In Africa, however, the challenge is not only scale — it is distribution.

Despite rapid growth in tech funding between 2015 and 2022, investment in African AI start-ups remains heavily concentrated in just four countries: South Africa, Egypt, Kenya, and Nigeria — the so-called “Big Four.”

The Funding Squeeze Deepens Concentration

Between 2015 and 2022, the number of African start-ups receiving funding increased more than sevenfold, driven by mobile expansion, fintech growth and significant inflows of international capital.

But from 2022 onward, tightening global financial conditions triggered a venture capital slowdown that hit Africa particularly hard. As capital became scarcer, investors gravitated toward the continent’s most established ecosystems.

By 2024, the Big Four captured 67% of equity tech funding:

1. Kenya: ~24%
2. South Africa: ~20%
3. Egypt: ~13.5%
4. Nigeria: ~13.5%

Funding is also highly sector-concentrated, with fintech absorbing the majority of capital, while edtech and cleantech attract comparatively less investment.

Compounding this imbalance, an estimated 60–70% of African tech funding originates from international investors — particularly in large funding rounds above $10–20 million — reinforcing risk-averse allocation patterns.

Emerging Ecosystems, Underfunded Potential

Several countries demonstrate strong AI potential but receive disproportionately low funding.

Countries such as Ghana, Morocco, Senegal, Tunisia, and Rwanda host dynamic start-up communities but struggle to attract investment volumes aligned with their entrepreneurial capacity.

Ghana, Morocco and Tunisia alone account for roughly 17% of African tech companies outside the Big Four, yet funding remains limited. Local financial ecosystems often lack the scale and risk appetite to close the gap.

Structural constraints include:

1. Limited venture capital depth
2. Weak accelerator and incubator networks
3. Gaps in research capacity
4. Regulatory inefficiencies
5. Infrastructure and connectivity challenges

This imbalance must also be viewed within a global context: Africa accounted for only 0.4% of global venture capital flows in 2020 and currently represents just 2.5% of the global AI market.

Peripheral ecosystems therefore face a double disadvantage — both globally and continentally.

Preparing Countries for AI Investment

Attracting AI capital requires more than promising start-ups. Countries must demonstrate readiness across economic, political and institutional dimensions.

The AI Investment Potential Index (AIIPI) highlights that AI adoption depends on:

1. Energy and digital infrastructure
2. Governance quality
3. Human capital
4. Regulatory clarity
5. Research ecosystems

In advanced markets such as South Africa or Morocco, priorities focus on scaling research and attracting strategic capital. In moderate-scoring countries, emphasis is often placed on strengthening connectivity, workforce skills and regulatory frameworks.

For policymakers, AI readiness is a development strategy — not merely a tech ambition.

Financing Tools: Sovereign Funds and Development Banks

Beyond ecosystem reforms, capital allocation mechanisms must evolve.

At the continental level, institutions such as the African Development Bank and the West African Development Bank are expanding support for digital economy initiatives.

National Sovereign Wealth Funds (SWFs) are also emerging as strategic players. Examples include:

1. The Mohammed VI Investment Fund
2. The Pula Fund

These funds can channel long-term public capital into AI and digital infrastructure, provided governance frameworks ensure transparency and performance discipline.

Partnerships and Early-Stage Capital

International public-private initiatives are also filling early-stage financing gaps.

Programmes such as Choose Africa 2, led by AFD and Bpifrance, and platforms like Digital Africa, aim to provide small-ticket investments in early-stage “Tech for Good” ventures.

While insufficient alone to rebalance continental funding patterns, such mechanisms expand access beyond the traditional Big Four ecosystems.

Political Leadership and Strategic Alignment

Financial instruments must be matched by political and regulatory commitment.

At the continental level, the African Union’s Digital Transformation Strategy for Africa and Continental AI Strategy provide strategic direction.

At national levels:

1. Tunisia’s “Start-up Act” created structured incentives for tech ventures.
2. Ghana’s national AI strategy positions the country as a future “AI Hub” for Africa.

In April 2025, 52 African countries announced the creation of a proposed $60 billion African AI Fund at the Global AI Summit in Kigali. While ambitious, its impact will depend heavily on governance standards, transparency and effective capital deployment.

Without strong oversight, such initiatives risk replicating existing asymmetries.

Rethinking Concentration

AI start-up funding in Africa is not only insufficient relative to global markets — it is structurally concentrated within a handful of countries and sectors.

If the continent is to leverage AI as a genuine development accelerator — improving agriculture, healthcare, education and climate resilience — capital must move beyond familiar hubs.

That requires:

1. Stronger local ecosystems
2. Smarter financing instruments
3. Strategic sovereign participation
4. Governance reforms
5. Coordinated continental leadership

The question facing policymakers and investors is no longer whether Africa has AI potential.

It is whether capital allocation models are prepared to recognise — and support — it beyond the Big Four.