Africa’s digital economy is evolving rapidly, with artificial intelligence (AI) emerging as a key driver of transformation across industries. As businesses increasingly adopt AI and generative AI (GenAI) solutions, the demand for robust, scalable and efficient data centre infrastructure is at an all-time high. The challenge lies in ensuring that data centres can meet the rising computational demands while maintaining efficiency and reliability.
According to Gartner, global spending on data centre systems is expected to increase by almost a quarter (23.2%) in 2025, largely due to AI-driven growth. A recent Mordor Intelligence report, Africa Data Center Cooling – Market Share Analysis, Industry Trends & Statistics, Growth Forecasts up to 2030, estimates that African data centre market size is expected to reach 1.43 thousand MW by 2030, growing at a CAGR of 12.86%. Further, the market is expected to generate colocation revenue of USD 750.2 Million in 2025 and is projected to reach USD 1,709.6 Million by 2030, growing at a CAGR of 17.91% during the forecast period of 2025 to 2030.
Driven by the growing adoption of AI, big data analytics and other advanced technologies across the continent, this expected growth underscores the urgency for infrastructure upgrades to accommodate AI’s rising power densities and cooling requirements.
Vertiv is a leading provider of the full suite of power train and thermal chain equipment, supporting customers for successful AI adoption. As such, an AI Imperatives framework has been set out, providing organisations with a strategic roadmap to optimise their data centre infrastructure for AI’s growing demands:
1. Transforming Operations for AI
AI is more than just the technology itself; it represents new ways for businesses to innovate. From agriculture to healthcare and education, African industries are integrating AI into their operations. However, this shift requires a fundamental overhaul of existing data centre operating models and infrastructure.
Critical infrastructure challenges will include retrofitting existing data centres, accommodating growing rack power densities, deploying liquid and hybrid air-liquid cooling, understanding that liquid distribution is as critical as power distribution, and supporting power availability with intelligent grid interaction.
2. Seizing ‘First Mover’ Advantages
Power and cooling systems remain critical challenges for African data centres, especially as AI workloads increase energy consumption and generate significant heat. Overcoming the challenge of separately managing power and cooling systems can provide a strategic advantage.
Innovative cooling solutions, such as liquid cooling, are gaining traction globally and are well-suited to Africa’s high-density environments. According to the Dell’Oro Group, the market for liquid cooling is expected to grow to $15 billion over the next five years. Implementing advanced cooling strategies now can help African data centre operators stay ahead of the curve.
3. Driving Efficiency and Sustainability
The ‘AI efficiency paradox’ – which highlights the conflict between AI’s mounting computational demands and the urgent need for sustainability strategies in data centre operations – is particularly pronounced in Africa.
With many regions still facing energy constraints, the high-power requirements of AI workloads must be addressed through innovative energy management tactics. The integration of renewable energy sources, such as solar and wind, can help reduce dependency on traditional power grids, while advancements in energy-efficient cooling solutions and AI-driven power management can drive long-term sustainability.
4. Confidently Embracing Change
When it comes to AI implementation, a detailed plan is necessary to differentiate between calculated risks and reckless decisions. A deep understanding of critical factors enables businesses to approach infrastructure innovation with confidence.
This includes knowing what is technically possible when combining new and existing technologies, maximising existing infrastructure investments when retrofitting for AI, and planning today’s AI data centres with a view toward future transformations as densities continue to increase.
5. Supporting Africa’s Digital Growth
Africa’s digital future depends on developing infrastructure that can handle increasing density and computational workloads. This requires investment in high-performance computing (HPC) technologies that support extreme rack densities exceeding 100kW per rack and are scalable enough to adapt to future AI models and applications.
As AI adoption accelerates, investing in advanced power and cooling technologies will be essential to enable reliability, efficiency, and scalability. Collaboration between data centre operators, governments, and technology providers will also play a key role in driving sustainable growth in the sector.
Navigating the AI Era in Africa
The path to an AI-enabled future in Africa is not without challenges. Organisations must balance legacy infrastructure with new technologies, address power and cooling constraints, and ensure sustainability remains a priority. However, industry players who embrace change and strategically align their operations with AI’s demands will not only navigate the AI era successfully but also lead Africa into a new age of technological transformation.
