Kenya’s real estate sector continues to expand especially within Nairobi and emerging metropolitan corridors. However, property valuation practice remains largely dependent on manual comparable analysis, fragmented transaction records and professional networks. At the same time, banks, regulatorS and institutional investors increasingly demand evidence-based defensible valuation reports.

This article examines the practical role of data analytics in improving property valuation accuracy, transparency and consistency in Kenya. It analyzes current structural challenges such as under-declared transaction values, informal markets and incomplete land records and proposes realistic integration of statistical tools, GIS mapping and transaction databases into mainstream valuation practice. The study argues that data analytics is not a replacement for professional judgment but a critical enhancement tool necessary for modern lending, taxation and compulsory acquisition frameworks.