…The silent software opportunity in Africa’s clean energy push
Across Africa, an energy transformation is underway. Well, it has been for almost a decade now. Solar farms, mini-grids, transmission lines and electric mobility projects are being rolled out at an unprecedented scale. Billions of dollars are flowing into physical infrastructure to close the continent’s power gap. Yet beneath this visible build-out lies a quieter, less obvious opportunity, one that could ultimately create more value than the hardware itself. That opportunity is energy data and smart grid software.
In mature markets such as the United Kingdom, the most valuable energy companies of the past decade have not been those that built power plants or laid cables but those that built the software platforms that manage, optimise and monetise energy systems. Platforms like Octopus Energy’s Kraken or OVO’s Kaluza turned operational tools into global software businesses by transforming raw energy data into intelligence: forecasting demand, managing distributed assets, enabling flexible markets and unlocking new revenue streams. Africa’s energy systems, by contrast, remain largely data-poor and digitally fragmented. But this is precisely what makes them fertile ground for innovation.
Africa’s clean energy investment still overwhelmingly targets hardware: solar panels, batteries, meters and wires. Of course, these assets are essential; they create capacity. But capacity alone does not create efficiency, resilience or investable scale. In digital energy systems, data is the real infrastructure. Software layers turn electricity flows into actionable insights. They allow operators to predict demand, balance supply, optimise asset performance, reduce losses and design new financial products. In the UK, digital balancing and flexibility markets enabled by interoperable energy data now generate billions of pounds in system value annually.
Put simply: hardware delivers megawatts; software delivers system intelligence. And intelligence is where margins, scalability and venture-grade returns emerge.
Africa’s energy data blind spot
Despite rapid growth in renewable energy deployment, Africa faces three major structural data challenges.
First, many utilities lack real-time visibility over their networks. Non-technical losses, i.e., electricity that is generated but never billed or collected, can reach 20–40% in some markets. Without granular, real-time data, utilities struggle to stabilise revenues or attract capital.
Second, energy assets themselves often operate in the dark. Solar farms, mini-grids and battery systems frequently lack standardised telemetry, remote diagnostics or degradation modelling. This limits operational optimisation and makes financiers cautious, as performance risk remains opaque.
Third, the sector is fragmented. Off-grid companies, utilities, commercial solar developers and regulators often deploy disconnected hardware and proprietary software systems. Data sits in silos, preventing aggregation or system-wide optimisation.
Yet fragmentation breeds opportunity. Just as fintech startups once unified fragmented payment systems across Africa, energy data startups can become the operating system that connects assets, operators and capital.
Lessons from the UK’s digital grid revolution
The UK offers a clear blueprint. Many of its leading energy software platforms began as internal tools for managing customers or assets. Through API-first design, cloud-native architecture and modular systems, these tools evolved into scalable SaaS platforms serving utilities across borders. Crucially, value shifted away from ownership of physical assets toward orchestration. Companies that controlled data flows and optimisation logic became central to the energy ecosystem. Africa can adopt these principles without copying Western models wholesale. Its decentralised grids, mobile-first infrastructure and growing distributed energy assets make it more digitally “leapfroggable” than Europe ever was. A mini-grid operator in Nigeria or Kenya, for example, could use data from solar and battery fleets to offer flexibility services to distribution companies, mirroring UK-style markets at a local scale.
Why this Is a Venture-Scale opportunity
From an investment perspective, smart grid and energy data platforms check key venture boxes. They are asset-light, relying on software rather than capital-intensive infrastructure. They generate recurring revenues through subscriptions, API usage or transaction fees. Their gross margins resemble SaaS, not utilities. And they benefit from compounding network effects: more connected assets generate better insights, which attract more users and capital.
Africa represents a massive white space. While the global energy analytics market is expected to exceed $10 billion by 2030, Africa currently accounts for less than one per cent of that value. By the end of the decade, tens of millions of distributed energy assets across the continent will be producing data, whether or not anyone is capturing its value. Exit pathways are also clear: acquisition by global utilities and infrastructure players, private-equity roll-ups of regional platforms, or eventual public listings as sustainability-focused technology companies.
The bigger picture
Africa’s energy transition is no longer just about building power plants and wires. It is about building the intelligence that allows those assets to work together efficiently, transparently and profitably. The question is not whether Africa’s grids will digitise. It is who will own the software layer that coordinates them. In the coming decade, Africa’s most valuable energy companies may not own a single megawatt. But they will orchestrate millions.
Dami Aluko works at the intersection of clean energy, data, investment & technology. Primarily based in the United Kingdom, he helps organisations design smarter grids, scale distributed energy, and unlock climate-tech opportunities. His 10-year energy industry background spans C&I solar, demand-side response innovation, minigrid systems, technical–commercial modelling, smart grid strategy, energy data analytics and project finance for clean energy infrastructure – working with both private clients, investors and public bodies such as the World Bank and Innovate UK. He holds a bachelor’s in physics and a master’s in satellite applications with data science from the University of Strathclyde. Dami is also certified as an expert in climate and renewable energy finance by the Frankfurt School of Finance and Management.
