45 million
Total Cloud Migration Spending (USD)
Estimated total cloud migration expenditure in USD for South Sudan in 2026
38%
Percentage of Government Cloud Adoption
Government sector adopting cloud services as a percentage of total government IT infrastructure
12
Number of Cloud Service Providers
Number of active cloud service providers operating within South Sudan
120,000
Average Cloud Spend per Enterprise (USD)
Average annual cloud expenditure per enterprise in USD
0.5 PB
Data Center Capacity (Petabytes)
Total data center storage capacity projected for South Sudan in 2026
South Sudan's cloud migration spending is expected to reach approximately 45 million USD by 2026, driven by increasing digitalization efforts in both private and public sectors. The government is leading the push with an adoption rate of 38%, indicating a significant shift towards cloud-based infrastructure. The presence of 12 cloud service providers highlights growing regional competition and infrastructure development, supporting local businesses and government services.
Enterprise cloud spending is set to average around 120,000 USD annually, reflecting expanding cloud usage among corporations. Data center capacity is projected to grow to 0.5 petabytes, supporting data storage and processing needs. Overall, South Sudan's digital landscape is rapidly evolving, positioning it as a developing hub for cloud technology adoption in East Africa.
Frequently Asked Questions
What are the main drivers of cloud migration in South Sudan?
The main drivers include government digitalization initiatives, increased internet connectivity, and private sector investments seeking cost-effective, scalable IT solutions.
Which industries are leading cloud adoption in South Sudan?
Telecommunications, banking, and government sectors are leading in cloud adoption, leveraging cloud for improved services and operational efficiency.
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.