This article discusses the use of remote sensing and geographic information systems to manipulate and analyse each layer of spatial control data in Aurangabad, Maharashtra, to determine groundwater potential zones. Due to climatic trends, topographical factors, and aquifer characteristics, groundwater occurrence in drought-prone areas varies through time and place. Because of this, precise delineation of Groundwater Potential Zones (GWPZs) is crucial for the sustainable management of water resources in these settings. The goal of the current study is to identify and evaluate GWPZs in drought-prone areas by combining remote sensing (RS), geographic information systems (GIS), and analytical hierarchy process (AHP). Seven thematic layers were created in the following categories: Rainfall, LULC, Geomorphology, Soil Classification, Lineament Density, Drainage Density, Slope. This study concludes that the AHP model will be more accurate in determining the GWP. The stack holders would gain from any groundwater management projects done out in this advantageous area. The present study divide Aurangabad district based on the result in the four different category i.e, Poor (6.3%), moderate (35.2%) , and Good (56.6), Excellent (1.9).