This transition dictates how businesses grow and survive in the new year, and the next decade at large.

Recent data shows about 95% of businesses in Africa are SMEs, and they contribute roughly 40% of the continent’s GDP and more than half of its jobs. Most of these firms are now part of digital ecosystems where data flows through every transaction and interaction.

That alone is reason enough to pay attention.

Why the Shift to Data is Important

In the early phase of digital adoption (roughly 2015–2022), the story was about embracing digital payments, online stores and basic apps. 

By 2025, that matured. Digital transactions are now the norm. For example, surveys show over 99% of SMEs in Nigeria accept digital payments, and in South Africa around 90% of SMEs do the same, not just to be modern, but because it improves financial management, cash flow and customer access. 

These payment records generate data. And the most forward-thinking firms are going beyond collecting that data to acting on it.

Data is being used to:

• Spot slow-moving inventory weeks before stockouts happen
• Predict which customer segments are most profitable
• Adjust pricing after analysing local demand shifts
• Evaluate creditworthiness based on transaction histories

This is happening now and companies that learn to turn raw numbers into decisions are gaining advantage.

What “Data-Driven” Really Looks Like on the Ground

Being data-driven doesn’t mean you need a team of PhDs or massive budgets. For African SMEs in 2025, it meant practical actions:

1. Operational Decisions Replace Guesswork

Business owners are looking at sales patterns weekly, not just quarterly. They monitor which products sell at different times and adjust inventory accordingly. Even simple dashboards from payment providers can reveal trends previously invisible.

2. Digital Banking and Lending Get Smarter

Banks across Africa are investing heavily in SME services that use data, not paper forms, to evaluate credit risk. A recent industry report shows 83% of banks now treat SME banking as a strategic priority, using mobile platforms and analytics tools to serve these clients better. 

Mobile banking is especially important because it reaches businesses in rural or underserved regions. These platforms also generate data that lenders and firms can use to make decisions faster and with less bias.

3. Adoption Still Uneven, But Growing Fast

While basic digital tools are widely used, sophisticated data usage is still emerging. Digital onboarding (where a business can open an account entirely online) is fully available in only around 42% of cases, showing that there’s still work to be done.

Unreliable internet in some regions, high data costs, and skill gaps are causing limitations. But where these challenges are overcome, businesses are already seeing results.

The Economic Importance

If SMEs are the backbone of economic activity, and evidence says they are, then better decision-making at this level scales into macro performance:

• Greater resilience to shocks: Firms that read their own data can react quicker to supply delays, currency swings or demand drops.
• Improved access to finance: Data signals help lenders reduce risk, which expands credit availability. Digital lending products using analytics are growing in availability.
• Higher productivity: Data helps reduce waste and simplify operations, both essential in thin-margin environments where small inefficiencies compound quickly.

Enhanced data use directly influences how investment is allocated and how business strategies evolve.

Lessons from 2025

As the year closes, let’s take a look at a few patterns:

1. Digital adoption is widespread, especially for payments and banking interfaces.
2. True data usage is growing, but uneven across regions and sectors.
3. Financial institutions are doubling down on data-enabled services like mobile banking and analytics.
4. Infrastructure continues to improve, with new data centres and cloud partnerships aimed at reducing costs and boosting speed. 

Looking Forward to 2026

If 2025 was the year data went from novelty to necessity, then 2026 will be the year businesses start competing on it.

I expect the following trends to become more visible:

• SMEs using predictive analytics at scale, not just reporting what happened, but anticipating what will.
• Data literacy emerging as a core business skill, not a bonus.
• Policy and infrastructure balance, as governments and service providers invest in reducing data costs and expanding connectivity.

For anyone leading an SME in Africa, pay attention to the fact that technology without data just sits on a shelf. Data is what turns technology into decision power.

At the same time, organisations are under increasing pressure to manage the data traversing their own networks at scale.

There is an immediate need to access insight in real-time, and that means adopting the right technologies and capabilities to stay competitive.

At the core of this is a need for storage that can deliver efficient, reliable, real-time access to insights. In 2025, flash storage emerged as the solution of choice for many industries due to its scalable, robust, and flexible nature. As we move into 2026, this trend is set to accelerate in a few key ways:

Storing and Managing Unstructured Data 

As data volumes continue to rise in 2026, organisations will no doubt generate more unstructured data than ever before.

This unstructured data can include anything that does not fit neatly into predefined formats or models, which could be text, emails, video, imagery, sensor readings, and system logs from different formats.

Produced rapidly and in large quantities, unstructured data only becomes valuable when efficiently stored, processed, and converted into actionable intelligence.

Industries such as healthcare, manufacturing, automotive, and finance generate vast amounts of unstructured data every day, and this will only continue into the new year.

From medical scans and clinical notes, through to machine logs, quality-control imagery, and vehicle sensor streams, organisations will need to be able to convert this unstructured data into structured insight that can be analysed in real-time.

The insights enable informed decision-making, predictive maintenance, and operational efficiency.

Flash storage is well suited to meet the needs of data-heavy sectors as it provides high-speed data processing, low latency, and the reliability required to handle vast volumes of unstructured data rapidly and dependably.

Its ability to support real-time insights, enable edge processing, and manage demanding workloads with minimal degradation also enables it to turn raw data into valuable, actionable outcomes across sectors.

Ongoing advancements in flash storage also allow for accelerated read/write performance which is ideal for building robust data repositories, training next-generation AI models, and processing insights in real-time which enables efficient and seamless operations.

Making Software-Defined Vehicles a Reality  

The opportunity for Software-Defined Vehicles (SDVs), or Autonomous Vehicles (AVs), in 2026 will be significant.

The UK Government claims that 38,000 domestic jobs could be created across manufacturing, software development, testing, and optimisation.

The country is gearing up to become a global leader in the next generation of mobility, the market could be worth as much as £42 billion by 2035.

However, this new market will come with unprecedented data demands. Each SDV could produce 1 to 2 terabytes of raw data each day according to a 2021 study by McKinsey & Company.

This is because cameras, radar, Light Detection and Ranging (LiDAR), and AI systems are constantly collecting, storing, and analysing information in real-time to improve safety, performance, and seamless operation.

Without reliable storage at the heart of these systems, all the innovation, jobs and economic growth which come with this, could face operational challenges.

With these intense data requirements, it will be even more crucial that storage is not overlooked in the coming year. While the focus tends to be on real-time processing and immediate vehicle performance, data storage, specifically flash storage, will enable the making SDVs a reality.

This is because resilient, vehicle optimized flash storage can manage the massive data demands of SDVs reliably and efficiently.

Such devices are able to withstand varying temperatures, vibrations, and mechanical shock commonly encountered in automotive environments.

Flash storage also enables the real-time processing of sensor data, supporting the secure logging of critical information, and underpinning the performance of software-defined and autonomous systems.

Flash Innovation in the Data Centre

As data volumes continue to grow and new technologies like AI proliferate, development of the UK’s underlying data centre network, and technology within these data centres, will be critical. The UK government in early 2025 laid out plans for significant waves of investment in this space.

With this funding expected to drive rapid expansion in digital infrastructure, creating opportunities for economic growth, innovation, and global competitiveness.

Flash storage offers significant advantages for data centres, delivering enhanced performance, efficiency, and scalability.

Its features, high speed and low latency, can enhance the performance of read and write operations, resulting in improved overall system responsiveness.

This performance uplift is complemented by lower power consumption and reduced heat generation, helping minimise cooling requirements and lower operating costs.

Moreover, the compact design of flash solutions supports higher-density deployments, making it ideal for environments where physical space is at a premium.

With no moving parts, it also provides enhanced durability and reliability, supporting long-term system stability and minimising the risk of mechanical failure, making it a resilient and dependable choice for modern data centre infrastructure.

With investment expected to ramp up, and space at a premium across the UK’s data centre network, flash will become a storage solution of choice to support these intense delivery requirements.

Flash: The Backbone of the Data Economy 

Ultimately, in 2026 the volume of data traversing our networks will continue to soar, and AI-powered technologies will increasingly become ubiquitous. Having the right storage in place will be key.

With such emphasis on new technologies in development and data opportunities, the role of storage has often been overlooked.

Going forward however, if governments and organisations really want to benefit from the trove of insight now available to them, they will have to pay more attention to data storage options that underpin much of our future data economy.

And flash storage will continue to rise as the option of choice for many, across interesting and diverse use cases.