MTN is expanding its infrastructure business around AI data centres in Africa with the creation of a new company that could serve as a vehicle for growing its data centre, cloud and computing footprint across key markets.
Africa Data Hub Holding Limited was formed after MTN entered into a strategic partnership with an undisclosed United Arab Emirates-backed data centre investment platform, according to the group’s interim results for the six months ended June 30, 2026. The arrangement provides MTN with a structure through which future digital infrastructure projects can be developed and scaled.
The development follows a year of groundwork by MTN for a broader data centre strategy. South Africa and Nigeria have been identified as priority markets, while the company has been developing an AI-enabled platform designed to support cloud, enterprise and data-intensive workloads.
The new holding company brings investment capital and specialist data centre expertise into the strategy, potentially giving MTN greater capacity to expand without having to fund every project from its own balance sheet.
MTN Creates New Vehicle for AI Infrastructure
Africa Data Hub Holding is designed to combine MTN’s African footprint, infrastructure and market knowledge with external investment and specialist data centre expertise. MTN Digital Infrastructure will use the company as a platform through which future digital infrastructure opportunities can be developed and scaled across key African markets.
The move is significant because AI data centres require more advanced infrastructure than conventional enterprise facilities. High-performance computing requires dense server deployments, substantial electricity, sophisticated cooling systems and high-capacity connectivity.
Financing such facilities also requires significant upfront capital, making partnerships an important part of the expansion model.
MTN has already identified digital infrastructure as a strategic growth platform alongside connectivity and fintech. Its wider infrastructure strategy includes fibre and AI-enabled data centres, as the company seeks to capture growing demand from cloud, enterprise and other data-intensive services.
Africa Data Hub therefore appears to be more than an isolated corporate creation, instead providing a dedicated structure for a business MTN has already been developing.
Africa Data Hub Builds on MTN’s Wider Cloud Strategy
MTN’s data centre plans are closely linked to its work on cloud platforms and network modernisation.
The company has moved major analytics workloads onto Microsoft Azure in South Africa. Its EVA 3.0 platform processes about 22 billion records daily, with more than 800 analytics workflows drawing from over 1,700 data feeds.
The migration has provided MTN with access to scalable cloud infrastructure while strengthening its internal cloud capabilities.
MTN is not necessarily seeking to replace public cloud services. Its strategy is more likely to involve a hybrid infrastructure model in which public cloud, MTN-owned facilities, colocation capacity and distributed computing support different workloads.
Such a model could give MTN greater control over where specific workloads are processed while retaining access to hyperscale cloud services when they offer greater commercial or technical advantages.
The group also has a sizeable potential demand base of its own. MTN reported 317.7 million customers across 19 markets in its June 2026 results, while data users and network traffic continued to grow.
Its fintech business provides another source of digital workloads through MoMo, which is also moving towards cloud-native infrastructure in several markets.
This creates a connected infrastructure proposition in which telecom networks generate data and connect customers, cloud platforms process workloads, fintech services create additional demand, and data centres provide the physical computing capacity supporting them.
MTN’s investment in ORAN Development Corporation adds another element to the strategy. ODC is developing a Distributed Compute Grid designed to turn parts of telecom infrastructure into computing locations capable of handling workloads closer to where data is generated.
The concept could eventually extend computing beyond large central facilities, allowing MTN to use its network footprint for applications where low latency and local processing are important.
South Africa and Nigeria Identified as Priority Markets
MTN has identified South Africa and Nigeria as its priority markets for the next stage of its data centre strategy.
Nigeria already has a significant facility in the form of the Sifiso Dabengwa Data Centre in Lagos, where MTN launched the first phase in 2025. At the time of its launch, the facility was described as the largest data centre in West Africa.
South Africa offers a different advantage, with MTN having an established enterprise and network footprint as well as data centre and switching infrastructure in several locations, including Gauteng, Cape Town and KwaZulu-Natal.
Both markets provide the scale MTN needs if it is to build a commercial AI infrastructure business. They have large enterprise sectors, significant digital activity and growing demand for cloud and computing capacity.
MTN will nevertheless face established competition from hyperscalers, specialist data centre operators and infrastructure investors investing heavily in African facilities, particularly in markets with strong fibre connectivity, enterprise demand and access to international cable systems.
MTN’s advantage lies in combining these digital infrastructure assets with its own customer base and network footprint.
AI Data Centres Present Major Infrastructure Challenges
The opportunity comes with a significant physical constraint: AI requires substantial amounts of power.
High-density AI servers consume considerably more electricity than conventional enterprise equipment and generate greater amounts of heat, increasing pressure on cooling systems.
Facilities designed around traditional server densities cannot simply be filled with AI accelerators and expected to operate in the same way.
As a result, electricity supply, cooling and connectivity are central to the economics of AI infrastructure in Africa.
The challenge is particularly important as African markets seek to expand data centre capacity while facing constraints in power generation and transmission.
Data centre developers must therefore consider grid reliability, backup systems, renewable energy, site selection and cooling technology alongside fibre connectivity and customer demand.
MTN’s telecommunications footprint provides an advantage in connectivity, but it does not eliminate the power challenge. Building AI infrastructure will require suitable sites and reliable electricity at a cost that makes the resulting capacity commercially viable.
This is one reason the UAE-backed investment partnership is significant. A well-capitalised partner with data centre expertise could help MTN address the capital and operational requirements associated with facilities that are considerably more infrastructure-intensive than conventional telecom sites.
Kenya Offers Potential but Comes With Conditions
Kenya has not been identified as one of MTN’s current priority markets, so there is no basis for saying that Africa Data Hub is preparing to build a facility there.
However, the country remains relevant to the wider African data centre race, particularly as Nairobi develops into an important connectivity and cloud infrastructure hub.
Kenya now has a defined regulatory framework for commercial data centres. Under the revised Telecommunications Market Structure published by the Communications Authority of Kenya in June 2026, data centres fall within the Network Facilities Provider Tier 1 and Tier 2 licensing structure.
The framework provides the industry with a clearer regulatory route while recognising data centres as important network infrastructure.
NFP-T1 permits commercial data centre establishment under a nationwide infrastructure licence, while NFP-T2 provides a more incremental structure for operators deploying infrastructure across the country.
The initial licence fee for both categories is KSh15 million, although the licence terms, spectrum arrangements and annual operating fees differ substantially between the two tiers.
For a large AI data centre project, the licence fee itself is unlikely to determine whether an investment proceeds. More important is the requirement for operators to factor the regulatory framework into their infrastructure planning.
Kenya also highlights another major challenge facing the continent: electricity.
The country has submarine cable landing points, established fibre routes and a growing data centre market, but power availability remains a constraint on very large facilities.
Concerns over electricity capacity have already featured in the stalled Microsoft-G42 data centre project, demonstrating that strong digital demand alone does not guarantee that a major AI facility can be built quickly.
This makes Kenya a useful example of the factors MTN may need to consider in future expansion. If Africa Data Hub moves beyond South Africa and Nigeria, the company will have to assess markets based on connectivity, enterprise demand, regulation, electricity and investment economics.
MTN Expands Its Role in Africa’s Digital Infrastructure
The broader strategy becomes clearer when the different initiatives are considered together.
MTN operates one of Africa’s largest mobile networks, is expanding its cloud capabilities, developing cloud-native fintech infrastructure, investing in distributed computing and now creating a dedicated vehicle for data centre expansion.
Each initiative addresses a different layer of the digital economy, but they can also reinforce one another.
A large data centre can host enterprise applications and AI workloads. Fibre can connect it to customers and other facilities. Telecom sites can provide locations for distributed computing, while cloud platforms can provide additional capacity where a dedicated facility is not required.
MTN’s fintech and enterprise businesses can also provide customers for these services.
This gives the company a potential infrastructure stack rather than a collection of unrelated technology projects.
There is also a growing issue of digital sovereignty. As African governments and enterprises adopt AI, the location of infrastructure processing sensitive information becomes increasingly important.
Local or regional computing capacity can reduce latency, support data-residency requirements and provide organisations with alternatives to processing every workload outside the continent.
For MTN, this could create opportunities beyond conventional colocation. The company could eventually offer combinations of connectivity, data centre capacity, cloud connectivity, edge computing and AI infrastructure to enterprises and public-sector organisations.
The next details will be important. MTN has yet to disclose the identity of its UAE-backed partner, the capital committed to Africa Data Hub, the precise ownership structure or the facilities and markets that will follow South Africa and Nigeria.
Those disclosures will help determine whether Africa Data Hub becomes another infrastructure holding company within MTN or the foundation of a much larger African AI computing business.
For now, the direction is clear: MTN is moving deeper into the physical infrastructure required to power Africa’s next generation of cloud and AI services, with data centres becoming a central part of its strategy.
About The Author
