22/01/2026
Data-As-A-Service (DaaS): Africa’s Quiet HealthTech Opportunity
Across the continent, enormous volumes of health data are generated every day from:
- Patient registers
- Facility records
- Digital health platforms
- Supply chain and insurance data
Yet most of this data remains fragmented, underused, and locked in silos.
DaaS involves collecting, cleaning, structuring, and delivering health data as a service to provide insights and enable evidence-based decisions.
Some DaaS opportunities to explore as health innovators:
✅ Disease Surveillance & Early Warning Systems
Build DaaS platforms that aggregate facility, lab, pharmacy, and community data to deliver real-time surveillance, trend analysis, and early alerts for governments and partners.
✅ Insurance Risk & Utilisation Analytics
DaaS that offers risk scoring, utilisation insights, and predictive analytics using anonymised claims, pharmacy, and clinical datasets.
✅ Medicine & Supply Chain Demand Forecasting
Provide DaaS solutions that use real-world consumption data to support forecasting, inventory optimisation, and procurement planning for national medical stores, NGOs, and private distributors.
✅ Embedded Analytics for Digital Health Platforms
EMRs and digital health tools collect data but rarely generate insights.
DaaS can serve as an embedded analytics layer powering multiple platforms with:
• Clinical quality indicators
• Population health insights
• Performance benchmarking
✅ AI-Ready Health Data Infrastructure
AI fails without clean, structured, interoperable data.
DaaS can provide services that are focused on data standardisation and Interoperability.