The growing population in the Gangarampur (Buniadpur) Sub-division resulted in increasing demand for groundwater availability to support the economy’s development. Appropriate quantitative evaluation is necessary for sustainable groundwater management and conservation, and this can be achieved through the use of scientific assertions and new approaches. The current study utilizes a holistic method to evaluate the potential of groundwater. The study aims to identify potential zones in the Buniadpur Subdivision using remote sensing (RS), geographic information system (GIS), and analytic hierarchy process (AHP) with the integration of Multi-criteria decision making (MCDM). In order to achieve this objective, eight thematic maps related to the presence and movement of groundwater (such as geology, land use/land cover, geomorphology, slope, soil, drainage density, rainfall, and lineament density) were created and transformed into raster format using the ArcGIS Desktop tool. The weights are given to these eight theme maps according to their significance. Furthermore, the ultimate standardized weights of these characteristics were computed by utilizing a pairwise comparison matrix based on the Analytic Hierarchy Process (AHP). To generate the groundwater potential zones (GWPZs) map of the study area, we utilized the overlay weighted sum method to merge the parameters. The map can be partitioned into four zones: good, moderate, bad, and very poor. Each zone corresponds to 20.3%, 13.9%, 54.8%, and 9% of the investigation area, respectively. Finally, the accuracy of the GWPZs map was confirmed by comparing it with data collected from 58 wells located across the study region to assess the effectiveness of the method. The validation results indicate that the selected technique gives accurate outcomes, which can assist in the future development and strategic utilization of the groundwater resources in that region.