25
Number of cloud service providers
Increase in providers serving DRC market
38
Percentage of enterprises using serverless architecture
Adoption rate among businesses
18
Average cloud spending per enterprise (USD)
Average expenditure on cloud services
150
Total annual cloud revenue (USD millions)
Market revenue in 2026
12
Number of data centers operational
Data centers supporting cloud infrastructure
The Democratic Republic of Congo's cloud computing market has expanded significantly by 2026, with 25 providers now active within the country, supporting a rapidly digitizing economy. Notably, 38% of enterprises have adopted serverless architectures, reflecting a shift toward scalable and cost-efficient cloud solutions that are vital for local businesses and startups seeking global competitiveness. Average cloud spending per enterprise has reached $18, indicating increased confidence in cloud investments.
The market's total revenue has surged to approximately USD 150 million, driven by government initiatives and private sector investments. The deployment of 12 data centers across key regions has enhanced cloud infrastructure resilience and accessibility. This growth underscores the country's commitment to digital transformation, despite infrastructural challenges, and highlights the increasing reliance on cloud services for economic development and technological innovation.
Frequently Asked Questions
What are the main benefits of serverless computing for businesses in DRC?
Serverless computing offers scalability, reduced costs, and simplified management, enabling DRC businesses to innovate faster without heavy infrastructure investments.
How is cloud adoption impacting the DRC economy?
Cloud adoption boosts digital infrastructure, creates new job opportunities, and facilitates access to global markets, fostering economic growth and technological progress.
Disclaimer: All statistics presented are 2026 estimates and projections based on industry trend analysis, historical data, and publicly available research. Individual data points may vary from actual figures.