Bimatrix games serve as powerful tool for modeling strategic interactions in various fields, ranging from economics to biology and beyond. However, the presence of uncertainty adds a layer of complexity to the decision-making processes within bimatrix games, influencing equilibrium solutions and strategic outcomes. This review provides a comprehensive analysis of bimatrix games under uncertainty, exploring theoretical perspectives, modeling techniques, and future directions. Further, it examines the impact of uncertainty on equilibrium concepts, solution methodologies, and decision-making. Finally, we propose some potential directions of research.