This chapter critically explores the transformative role of Big Data in reshaping Zimbabwe’s transportation sector towards smarter, more sustainable, and resilient mobility systems. Drawing on global trends and local realities, it critically examines how data-driven innovations—such as real-time traffic monitoring, predictive analytics, and intelligent transportation systems—can address persistent challenges including congestion, informal transport dominance, environmental degradation, and infrastructural decay. The main argument running throughout this chapter is that the effective integration of Big Data into Zimbabwe’s transport ecosystem has the potential to catalyse systemic improvements in mobility efficiency, sustainability, and governance—provided that the nation overcomes key institutional, infrastructural, and policy-related constraints. Using a multidisciplinary methodology comprising literature review, policy analysis, and case study evaluation, the chapter outlines opportunities for integrating Big Data into Zimbabwe’s transport planning, while also identifying infrastructural, regulatory, and ethical barriers that must be overcome. It concludes by proffering strategic recommendations for building institutional capacity, fostering public-private collaboration, and ensuring inclusive, privacy-conscious implementation of Big Data technologies in the mobility sector.