Who Owns Africa's Data? Digital Colonialism Explained
Africa has 1.4 billion people generating massive amounts of data. But that data is stored on servers in Virginia, processed by algorithms in California, and monetized by companies that pay nothing to the continent. This is digital colonialism.
Who Owns Africa's Data? Digital Colonialism Explained
In the 19th century, European powers carved up Africa to extract its gold, diamonds, rubber, and labor.
In the 21st century, the extraction continues—but now the resource is data.
Every WhatsApp message sent in Lagos. Every Google search in Nairobi. Every Facebook post in Johannesburg. Every mobile money transaction in Accra.
All of it flows to servers owned by American and Chinese companies, stored on foreign soil, processed by foreign algorithms, monetized by foreign shareholders.
Africa generates the data. Silicon Valley captures the value.
This is digital colonialism—and it's happening right now.
The New Scramble for Africa
What Is Digital Colonialism?
Digital colonialism refers to the dominance of foreign technology companies over the data, digital infrastructure, and technological autonomy of other nations.
The parallels to historical colonialism are striking:
Colonial Era | Digital Era |
|---|---|
Extract raw materials (gold, rubber, oil) | Extract raw data (personal info, behavior, preferences) |
Process abroad, sell finished goods back | Process abroad, sell digital services back |
Build infrastructure to enable extraction (railways, ports) | Build infrastructure to enable extraction (cables, data centers) |
Local populations have no ownership | Local populations have no data rights |
Wealth flows to colonial powers | Wealth flows to tech headquarters |
The scramble for Africa never ended. It just went digital.
The Scale of Extraction
Nigeria alone had over 107 million internet users as of early 2025. Africa as a whole has roughly 570 million internet users—and growing rapidly.
Every one of those users generates data:
Search queries
Social media posts
Location data
Purchase history
Health information
Financial transactions
Biometric data
This data trains AI systems, targets advertisements, and generates billions in revenue—for companies headquartered in California, not Calabar.
Where Does African Data Go?
The Infrastructure Gap
As of mid-2025, Africa has approximately 223 data centers across 38 countries. That sounds like progress—until you compare:
Region | Data Centers |
|---|---|
United States | 5,000+ |
Europe | 2,000+ |
Africa (entire continent) | 223 |
Distribution within Africa:
South Africa: 56 data centers
Kenya: 19
Nigeria: 17
Remaining 35 countries: ~130 combined
Most African countries have zero major data centers. Their citizens' data is stored thousands of miles away.
Where African Data Actually Lives
When a Nigerian uses Gmail, their emails sit on Google servers—likely in the United States.
When a Kenyan uploads photos to Facebook, those images are stored on Meta servers—probably in Europe or the US.
When a South African business uses Microsoft Azure, their corporate data lives on Microsoft infrastructure—governed by American law.
A 2021 study found that 80% of health data platforms in Nigeria were hosted on cloud servers outside Nigerian territory. The country had no legal jurisdiction over its own citizens' medical records.
This pattern repeats across the continent:
Government data on foreign clouds
Financial records on foreign servers
Educational data controlled by foreign companies
Personal information subject to foreign laws
Who Controls the Pipes?
Undersea Cables
Africa connects to the global internet through undersea fiber optic cables. These cables carry 99% of intercontinental data traffic.
Key cables serving Africa:
Equiano (Google): Connects West Africa to Europe
2Africa (Meta): Circles the entire continent, connecting 16 African countries
WACS, SAT-3, MainOne: Older cables serving various regions
In March 2024, three undersea cables (WACS, MainOne, and ACE) failed simultaneously, plunging West and Central Africa into near-blackout. Banks, hospitals, telecoms, and government services were crippled.
The incident exposed a critical vulnerability: Africa's digital economy depends on infrastructure it doesn't control.
Google and Meta frame their cable investments as philanthropy—connecting Africa to the world. But the real goal is increasing their user base. More connectivity means more users, more data, more ad revenue.
As one analyst noted: the cables benefit Big Tech first, Africa second.
5G Networks
Chinese company Huawei has built an estimated:
80% of Africa's 3G network infrastructure
70% of all 4G networks
And is competing to build most 5G networks
This creates a different kind of dependency. African governments must trust that Huawei (and by extension, the Chinese government) won't use this infrastructure for surveillance or manipulation.
Western governments have warned African leaders about these risks. But African governments, constrained by budgets, often have little choice—Huawei's prices are simply lower than Western alternatives.
The Data Extraction Business Model
How Big Tech Profits from African Data
Step 1: Provide "free" services
Google, Meta, and others offer search, social media, email, and cloud storage at no cost to users.
Step 2: Collect data
Every interaction generates data—what you search, who you message, where you go, what you buy.
Step 3: Process and analyze
Algorithms turn raw data into valuable insights: consumer preferences, behavioral patterns, predictive models.
Step 4: Monetize
This processed data powers targeted advertising worth hundreds of billions of dollars annually. It also trains AI systems that Big Tech sells to enterprises worldwide.
Step 5: Repeat
The more users, the more data, the more valuable the platform becomes.
Who captures the value?
Party | What They Get |
|---|---|
African users | "Free" services |
Big Tech | Data worth billions, market dominance |
African governments | Almost nothing |
African entrepreneurs | Compete against giants with infinite data advantages |
The "free" services aren't free—users pay with their data, which is worth far more than any subscription fee.
AI Colonialism
The next frontier is artificial intelligence—and Africa is already behind.
AI systems require massive amounts of data to train. The companies with the most data build the best AI. The best AI attracts more users. More users generate more data.
This creates a winner-take-all dynamic where whoever has the data today dominates tomorrow.
Current reality:
AI models are trained primarily on Western data
They reflect Western perspectives, languages, and values
African languages are barely represented
African contexts are poorly understood
When an African uses ChatGPT or Google's AI, they're using a system trained on someone else's data, reflecting someone else's worldview.
As the Pan-African Parliament warned in July 2025: Africa risks becoming a "digital colony" unless it takes ownership of its data and AI.
The Sovereignty Problem
What Does Data Sovereignty Mean?
Data sovereignty is the principle that data is subject to the laws of the country where it's collected—and that citizens and governments have rights over their own data.
For most African countries, this principle exists in theory but not in practice.
The challenges:
No local storage: Data physically sits in foreign countries
No legal jurisdiction: Foreign laws govern how data is used
No regulatory capacity: Governments lack technical expertise to enforce rules
No alternatives: Switching away from Big Tech is nearly impossible
Real-World Consequences
National security:
Government communications on foreign platforms can be accessed by foreign intelligence agencies. The NSA revelations showed that US agencies routinely access data stored by American companies.
Law enforcement:
African police investigating crimes often can't access evidence stored on foreign servers. They must request data through slow diplomatic channels—assuming cooperation is granted at all.
Economic development:
African startups compete against global giants who have infinite data advantages. Local AI development is stunted because the training data flows elsewhere.
Policy autonomy:
When your data infrastructure is foreign-owned, your policy options are limited. Nigeria has demanded Google, Microsoft, and Amazon build local data centers for years—the companies have largely ignored these requests.
Fighting Back: African Responses
Data Protection Laws
As of 2025, approximately 36 of 54 African countries have formal data protection laws. This is progress—but enforcement remains weak.
Notable frameworks:
South Africa's POPIA (Protection of Personal Information Act, 2013): One of Africa's strongest data protection laws
Kenya's Data Protection Act (2019): Restricts data transfer outside Kenya without safeguards
Nigeria's NDPR (Nigeria Data Protection Regulation, 2019): Requires local storage of certain data
The problem: laws mean little when you can't enforce them against trillion-dollar foreign companies.
Data Localization Demands
Several African countries are demanding that Big Tech store data locally:
Nigeria (2024-2025):
Demanded Google, Microsoft, and Amazon set concrete deadlines for opening local data centers
Set up working groups with the companies
Director-General of NITDA: "We told them no more waivers—we need a road map"
Result so far: Microsoft has deployed "edge nodes" in Nigeria, but no full data center commitment.
Other countries including Kenya, South Africa, and Egypt are making similar demands, with mixed results.
Building Local Data Centers
Some African governments are taking matters into their own hands:
Government-built data centers:
Rwanda has invested heavily in national data infrastructure
Kenya is building sovereign cloud capacity
South Africa hosts the continent's most developed data center market
The challenge: Data centers require massive power supply. Nigeria's 17 data centers need around 137 megawatts—but the national grid provides only about 4 hours of reliable power daily.
Many data centers run on diesel generators, raising costs and emissions.
Regional Coordination
The African Union has developed frameworks for continental data governance:
AU Digital Transformation Strategy (2020-2030): Promotes local data infrastructure
AU AI Strategy (2024): Emphasizes African control over African data
Smart Africa Alliance: Coordinates digital development across member states
The Pan-African Payment and Settlement System (PAPSS) demonstrates what regional coordination can achieve: a payment system that keeps transaction data within Africa rather than routing through European or American banks.
The Data Center Boom
$9.15 Billion Opportunity
Africa's data center market is projected to reach $9.15 billion by 2029. This represents both an opportunity and a risk.
Opportunity: Investment is flooding in to build African data infrastructure.
Risk: If that infrastructure is foreign-owned, Africa may simply trade one form of dependency for another.
Who's Investing?
Big Tech:
Google launched a "cloud region" in South Africa
Microsoft is building through a partnership with G42 (UAE)
Amazon Web Services operates in South Africa
Chinese companies:
Huawei provides data center technology across the continent
Chinese firms offer cheaper alternatives to Western providers
African companies:
Raxio Group (backed by IFC) is building data centers from Ethiopia to DRC
Local operators are emerging in South Africa, Nigeria, and Kenya
The Sovereignty Trap
As New America Foundation researchers noted: African governments face what appears to be a choice between sovereignty (assert control, risk deterring investment) and growth (accept foreign investment, risk dependency).
But this is a false binary. The real question is: on whose terms?
Countries that negotiate well can achieve both growth and sovereignty. Countries that don't may end up with infrastructure that sits on African soil but remains governed elsewhere—proximity without control.
Lessons from Other Regions
India's Digital Public Infrastructure
India built its own digital infrastructure rather than relying entirely on Big Tech:
Aadhaar: Biometric identity system with 1.3 billion users
UPI (Unified Payments Interface): Processes over 10 billion transactions monthly
DigiLocker: Secure document storage and sharing
Key features:
Based on open standards
Interoperable layers that work together
Locally governed—India controls how identity, payments, and data work
India remains globally connected but retains domestic control. This model shows that large populations + digital infrastructure = scale and national value.
European Union's Data Act
The EU Data Act (effective September 2025) focuses on:
Empowering users to access and control data they generate
Regulating contractual imbalances with Big Tech
Facilitating data portability between services
Restricting misuse of data
The EU approach shows you can shape the rules of the digital economy through law—without building national firewalls or blocking foreign companies entirely.
China's Approach
China took the most aggressive approach:
Built the "Great Firewall" blocking foreign platforms
Nurtured domestic champions (Baidu, WeChat, Alibaba)
Maintains total control over data within its borders
This comes with significant costs to freedom of expression and internet openness—costs most African countries are unwilling to pay.
What Africa Must Do
Short-Term: Enforce Existing Laws
African governments already have data protection laws. They need to:
Fund regulatory agencies properly
Train technical staff to understand digital issues
Impose meaningful penalties on violators
Coordinate regionally to increase leverage
Medium-Term: Invest in Local Infrastructure
The goal isn't to ban foreign companies—it's to ensure Africa has alternatives:
Build sovereign cloud capacity for government data
Support local data center development with power and connectivity
Create regulatory sandboxes for African tech companies
Develop continental data infrastructure through AU frameworks
Long-Term: Build Data Capacity
Sovereignty isn't just about where data is stored—it's about who can use it:
Train African data scientists and AI researchers
Develop African AI systems trained on African data
Create data cooperatives where communities collectively control their information
Negotiate collectively with Big Tech rather than country-by-country
The DRC Model
The Democratic Republic of Congo supplies roughly 70% of the world's cobalt—essential for AI servers, smartphones, and electric vehicles.
Yet this mineral wealth has brought neither prosperity nor autonomy.
Data is the new cobalt. Unless Africa learns from the mineral extraction model, the same pattern will repeat: extract the resource, capture the value elsewhere, leave the source poorer.
The Stakes
Digital colonialism isn't just about technology—it's about power.
Whoever controls data controls:
What information people see (and don't see)
How AI systems behave (and for whose benefit)
Where economic value accumulates (and who stays poor)
What surveillance is possible (and by whom)
How the future develops (and who shapes it)
If Africa's 1.4 billion people generate data that trains AI systems they have no stake in, those systems will serve foreign interests—not African ones.
If African governments can't access their own citizens' data, they can't provide services, enforce laws, or protect rights effectively.
If African entrepreneurs must compete against giants with infinite data advantages, local innovation will be crushed.
The Pan-African Parliament put it plainly: Africa must build "a secure, inclusive, sovereign digital and AI future" aligned with its own interests—or become a digital colony.
The old scramble for Africa took land and resources.
The new scramble takes data and autonomy.
The only question is whether Africa will fight back this time.
Key Statistics
Fact | Figure |
|---|---|
Data centers in Africa (2025) | 223 |
Data centers in the US | 5,000+ |
African countries with data protection laws | ~36 of 54 |
African internet users | ~570 million |
Nigeria internet users | 107 million+ |
Africa's data center market by 2029 | $9.15 billion |
DRC share of global cobalt | ~70% |
Huawei's share of Africa's 4G networks | ~70% |
Nigerian health platforms hosted abroad (2021) | 80% |
Timeline: Digital Colonialism in Africa
Year | Development |
|---|---|
2007 | M-Pesa launches, proving African digital innovation |
2011 | Google launches CSquared fiber project |
2013 | South Africa passes POPIA data protection law |
2018 | Huawei security concerns raised by Western governments |
2019 | Kenya, Nigeria pass data protection laws |
2020 | AU Digital Transformation Strategy launched |
2021 | Google launches Equiano cable, cloud region in South Africa |
2022 | PAPSS launches for African cross-border payments |
2024 | AU AI Strategy adopted; Three undersea cables fail, crippling West Africa |
2024 | Nigeria demands Big Tech data center commitments |
2025 | Pan-African Parliament warns of "digital colony" risk |
FAQ: Digital Colonialism in Africa
1. What is digital colonialism?
The dominance of foreign technology companies over the data, digital infrastructure, and technological autonomy of other nations—extracting value from data the way colonial powers extracted physical resources.
2. Where is African data stored?
Most African data is stored on servers owned by American and European companies, primarily located outside Africa. South Africa is the only African country where Amazon, Microsoft, and Google have built their own data centers.
3. Why does data location matter?
Data stored in foreign countries is subject to foreign laws and can be accessed by foreign governments. African governments may have no legal jurisdiction over their own citizens' information.
4. What is data sovereignty?
The principle that data is subject to the laws of the country where it's collected, and that citizens and governments have rights over their own data.
5. How many African countries have data protection laws?
Approximately 36 of 54 African countries have formal data protection laws, though enforcement varies widely.
6. What infrastructure does Huawei control in Africa?
Huawei has reportedly built about 80% of Africa's 3G infrastructure and 70% of 4G networks.
7. What is Nigeria doing about this?
Nigeria has demanded that Google, Microsoft, and Amazon set deadlines for building local data centers and has established working groups to track progress.
8. How is India different?
India built its own digital public infrastructure (Aadhaar identity system, UPI payments) using open standards while remaining globally connected—maintaining sovereignty without isolation.
9. What did the AU do?
The African Union adopted a Digital Transformation Strategy (2020-2030) and AI Strategy (2024) promoting local data infrastructure and continental governance.
10. What happens if Africa doesn't act?
AI systems will be trained on data Africa doesn't control, reflecting perspectives that don't serve African interests. Economic value will continue flowing to foreign tech hubs while African innovation is disadvantaged.
Sources
New America Foundation
Rest of World
TheCable Nigeria
African Business
Cambridge Core / Data & Policy
Centre for International Governance Innovation
Valdai Club
Pan-African Parliament statements
African Union Digital Transformation Strategy
GSMA Mobile Economy reports
African Languages in Tech: Coding the Future in Swahili and Yoruba
NextBuilding African Tech Infrastructure: M-Pesa to Flutterwave
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