The study Big Data and Africa’s Development examines how large-scale data collection and analytics can influence socio-economic transformation across African countries. Rapid digitization has generated vast datasets such that when they are properly harnessed, offer opportunities for improved policy design, service delivery, and economic growth; however, constraints such as weak infrastructure, limited human capacity, and fragile governance limit impact. This study aims to assess the potential of big data to accelerate inclusive development in Africa by identifying sectoral benefits, institutional barriers, and policy actions needed to translate data into measurable social and economic outcomes. The study also examines how big data is shaping development outcomes in Africa, using targeted case studies from Kenya, Nigeria, and South Africa. The research employs a qualitative methodology which entails a systematic review of secondary literature, development reports, targeted case studies from Kenya, Nigeria, and South Africa. Theoretical framing draws on Technological Determinism and Data-Driven Development perspectives, which suggest that technology and data practices shape institutional change and development trajectories (Castells, 2010). The findings indicate that big data has enhanced the precision, efficiency, and targeting of interventions in health surveillance, precision agriculture, education analytics, and public finance management. Case studies reveal that Kenya’s digital health reporting, Nigeria’s agricultural data platforms, and South Africa’s education analytics systems demonstrate measurable improvements in policy execution and service delivery. Despite these gains, the study finds that Africa still faces significant challenges, including inadequate infrastructure, uneven digital skills distribution, weak data governance frameworks, and concerns regarding privacy and equity. In conclusion, big data holds significant promise for Africa’s development but requires coordinated investments and regulatory reforms. The study recommends establishing continental and national data governance frameworks, investing in digital infrastructure and skills development, promoting public–private data partnerships, and implementing pilot programs that emphasize equity and data protection.