Where Africa’s compute lands.

Nigeria brings the scale, Kenya the speed, Morocco the stability. Three markets, one decade, and a single question underneath all of it: does the continent host its own compute, or keep routing around it?

NG · Nigeria 109MW Installed IT load · the scale anchor
KE · Kenya 75MW Installed IT load · the aggregator
MA · Morocco 43MW Installed IT load · the pipeline bet
The analyst read

Why these three, and why now.

For most of the last decade these were three separate stories. In 2026 they became one: the same selection list, the same continental rail, three different ways of placing the same bet.

Read on the numbers alone, the three look like a sequence. Nigeria carries the largest installed IT load of the three, the deepest fintech demand, and the clearest claim to be West Africa’s scale market. Kenya is smaller in megawatts but richer in use, the East African aggregation hub where mobile money and digital government pull regional workloads into Nairobi. Morocco sits smallest today, yet leads the continent on announced future power capacity, on our reading of the renewable pipeline, a gateway play built on sub-20ms proximity to Europe.

What turned three stories into one chapter is ADAPT (Africa Digital Access and Public Infrastructure for Trade), the AfCFTA-backed programme for shared digital identity, payments and cross-border data exchange, delivered with the Tony Blair Institute, the IOTA Foundation and the World Economic Forum. All three were chosen as its first pilots in 2026. That is the convening event: not a merger of markets, but a shared decision about whether the continent builds the infrastructure to host its own compute, or keeps renting it from Europe and South Africa.

This chapter runs the comparison in three registers. The Success Index sets the markets side by side on the figures that decide who wins, with the controls to weigh them yourself. The Boardroom does the same with people. The Long Game reaches back, because none of this started in 2026 – and closes on the workers the build is meant to lift.

Entelligencia desk · Africa · chapter 08 of 10
The comparison
FILE AF-03 · COMPARATIVE INDEX

The Success Index: what actually decides the race.

One booming industry, three contenders. This is the full comparative file behind the chapter: the data-centre base, the economy, power, people, resources, institutions and the operators on the ground – now tracked over a decade where the data allows. Switch the chapter, choose who to compare, and read the trend, the figures and the long view side by side.

VOL · AF
Markets · 3
Chapters · 07
Span · 2010–26
At a glance · the directory
One shape per market.

Each spoke is one of the seven dimensions, scored 0 to 10 for like-for-like comparison – indicative editorial weighting, not a published index. The bars rank the composite. Click any spoke, or a tile below, to open that factor. Toggle a market to add or remove its shape.

Compare
Keep at least two markets selected

 

 

 

In depth 
The numbers, side by side
READ  
Figures compiled from World Bank, IMF, AfricaDCA, Wesgro and McKinsey sources, 2010–2026. Verified = reported or measured. Modelled = directional projection. Indicative = editorial 0–10 scoring for like-for-like comparison, not a published index. Trend lines are drawn through the reported years; intervening points are interpolated for shape only.
Data note. The new multi-year series for GDP, GDP per capita, population, electricity access, inflation and debt are now wired into the trend charts. The remaining gaps worth filling: a clean annual data-centre MW history before 2021, capacity by named operator, and generation-mix percentages for power. Send those and we will turn the last snapshot panels into full time series too.
Predictive modelling

Six scenarios to 2030.

Not a single forecast but a scenario model: the race turns on a handful of big uncertainties – power reliability, hyperscaler timing, FX and sovereign risk, connectivity, regulation and conflict. Pick a scenario and each plays out differently in each market through its own country overlay. Illustrative and modelled, not a forecast.

Usable IT MW to 2030
delivered × power-reliability, by market
Modelled
NigeriaKenyaMoroccodashed = base case
 
How the model works. A three-layer engine – country attractiveness (macro, institutions, power, people, connectivity, regulation), operator execution (pipeline, capital, neutrality, cloud on-ramps, delivery record) and demand conversion (how much national digital growth becomes local colocation) – so GDP growth is not assumed to become data-centre demand automatically. Each scenario shocks demand, supply, economics, regulation and conflict, with a separate overlay per country. All figures are editorial and illustrative, directional rather than precise.
The boardroom

The people who will settle it.

A market is not won on a spreadsheet. It is won by the operators, financiers and platform-builders who decide where the next megawatt and the next rack actually land. We are convening the people closest to that decision. Each seat below opens to their file – and, once we have spoken with them, to their answers on the questions that decide this race.

FILE AF-03 · BOARDROOM
Seats · 09
Status · CONVENING
[ LIVE ] dossier on record [ INVITED ] profile expands once we speak Tap a node to open the file.
The question on the table
Three heirs, one crown. Where does the capital, the power and the talent concentrate first?
Nigeria has the scale. Kenya has the grid and the hub. Morocco has the balance sheet and the bridge to Europe. We are asking the people building across all three which advantage compounds, and which one fades.
An illustrative convening of nine seats around a boardroom table
Illustrative convening · the nine figures and portraits are representative and do not depict the named individuals; affiliations are invited and unconfirmed. Tap a node to open the file.
Why this table

Read together, the nine seats trace the whole chain that decides a data-centre market: the operators placing long-lived capital and breaking ground (Skjødt at Raxio, Coker at OADC, Duproz, formerly of Africa Data Centres, van Hulten on platform capital), the connectivity carrier choosing which coast the cables land on (Wood at WIOCC), the hyperscaler whose demand anchors a region (Masu at Meta), the industry body that sets standards and convenes policy (Mittal at AfiDA), the Europe-facing gateway that defines the Moroccan thesis (Kandil) and the critical-infrastructure partner that keeps power and cooling standing up. Between them they cover the capital, supply, connectivity, demand and regulation that the model upstream turns into megawatts. When their answers are on record, this section becomes the human counterweight to the Index above.

The long view

No market starts in 2026.

FILE AF-03 · TIMELINE
Events · 18
Span · 1956–2026

Seventy years, three trajectories. Why does Nigeria default to scale, Kenya to the hub, Morocco to the bridge? Each instinct was set decades ago – by an independence, an oil boom, a payment, a cable, a port, a policy. Three tracks run from independence to today; each node carries a datapoint and its consequence. Tap any node to open the record.

Nigeria Kenya Morocco
Tap any node to open the historical record. Each record carries representative imagery, marked asset to source.
Why they diverged

Six drivers, four decades.

The same six forces decide a data-centre market. Scrub the decades to see why Kenya owned the clean-hub moment, why Morocco’s stability compounded into the bridge, and why Nigeria’s scale keeps waiting on power. Indicative editorial scoring, 0–10.

 
How the path resolves

The same three instincts now decide where the racks go.

The histories are not background colour; they are the operating logic each market still runs on. Read down each column for the national equation that produced today’s instinct, and how the path resolves for the data-centre race.

Nigeria
Population → oil → telecoms → cables → fintech → hyperscale
  • Biggest domestic demand of the three; scale no rival can match.
  • Power reliability and FX are the binding constraints, not appetite.
  • Wins the decade if it solves the grid and lowers its cost of capital.
Kenya
Trade hub → mobile money → DPI → fibre → regional cloud
  • Best East African aggregation: a hub that pools neighbours’ demand.
  • A green, geothermal-led grid suits ESG- and AI-sensitive workloads.
  • Smaller home market; the edge is first-and-clean, not size.
Morocco
State stability → logistics → Europe corridor → digital policy → gateway cloud
  • Strongest Europe-facing optionality and the lowest risk premium.
  • Investment-grade credit and clean power make execution dependable.
  • Modest domestic demand; the play is the near-shore bridge.
The dividend

The race is also a chance to lift the people who build it.

Whoever wins, the construction sets off something larger: a wave of skills, jobs and local capability that outlasts any single campus. The most interesting story in the three markets is not only where the racks land – it is who gets trained, hired and promoted to run them.

Skills, not just shells

Operators and equipment partners increasingly run local academies and technician programmes – electrical, mechanical and network skills that transfer well beyond the data hall. Specific programme names and intake numbers to confirm with each operator.

Local hiring and supply

Each build pulls in local contractors, engineers and operations staff, and a longer tail of facilities, security and logistics roles once live. The split of local versus expatriate roles is a number worth pinning down per project.

The jobs above the floor

The infrastructure is a platform. Reliable, affordable compute is what lets local developers, fintech firms and AI start-ups build and hire – the East African and West African digital economies already employ at real scale.

It would be easy to tell this chapter purely as a contest between balance sheets. But the more durable outcome is human. A data-centre campus is one of the few pieces of heavy infrastructure that trains a workforce able to operate any advanced facility – power, cooling, networks, security and the discipline of uptime – and that capability stays in the country long after the ribbon is cut.

Kenya’s services economy, Nigeria’s fintech boom and Morocco’s industrial near-shoring all point the same way: the countries that pair the buildout with serious training and local hiring will not just host the racks, they will own the talent that the next decade of African technology runs on. That, more than any single megawatt figure, is the prize worth measuring.

01The academies under the floor

Operators are building academies, not just buildings.

A first wave of named training programmes is forming around the three markets – certifications, internships and source-train-place pipelines aimed squarely at the data-centre skills shortage. Select a programme to open its file.

02From campus to career ladder

A campus is small to run, but large to build.

A live data hall sustains only a few dozen permanent roles, yet each build wave drives hundreds of construction, engineering, facilities and ecosystem jobs – and a career ladder that climbs well beyond the floor. Illustrative figures, adapted from sector jobs research; to be sourced per project.

Jobs created per 10 MW campus Illustrative
The career ladder it opens
    250,000IT professionals Africa needs by 2030 to support AI and data-centre growth, with skills already cited as a binding constraint.
    40%of tasks in Africa’s tech-outsourcing sector could change by 2030 – a shift that can lift workers into higher-value roles if skills keep pace.
    30–50permanent roles per live campus – small on its own, but the multiplier sits in construction, ecosystem and the digital economy above it.
    03Talent ownership scorecard

    The race is for skills as much as megawatts.

    A simple 0–10 read on who is building the workforce, not just the shells: the scale of data-centre-specific academies, the strength of the wider digital-skills ecosystem, and the early evidence of local versus expatriate hiring. Select a market to open its file. Indicative editorial scoring; the hiring axis stays qualitative until per-operator numbers are sourced.

    Editor’s note. The themes above are well documented across the sector; the specific programmes, headcounts and local-content figures are still being sourced and attributed per operator and partner before publication. Named programmes (IBTC Data Centre Academy, the Africa Data Centre Talent Project, Skills for Africa, iXAfrica × Moringa) are drawn from public announcements; cohort sizes and outcomes are as stated by their backers and to be confirmed. We will not attach numbers we cannot stand behind.
    Voices of the industry

    [Placeholder] What the people building it say.

    Three industry voices on the supply chain, each opening a pop-out that can carry a voice clip, an interview, an opinion with exhibits, or a simple quote. Placeholder cards for now; real names, photos and content to follow.

    Voice clip
    [Name to come]
    [Role] · [Organisation]

    [Placeholder] A short standfirst on what this voice adds to the supply-chain picture.

    Listen
    Interview
    [Name to come]
    [Role] · [Organisation]

    [Placeholder] A short standfirst on what this voice adds to the supply-chain picture.

    Read
    Opinion
    [Name to come]
    [Role] · [Organisation]

    [Placeholder] A short standfirst on what this voice adds to the supply-chain picture.

    Open

    Placeholder module · voices, photos and content to be added chapter by chapter.