Water is the basis of human life. The importance of water is increasing in regions with limited water resources such as Mediterranean basin countries. But unfortunately water is the most important natural resource at risk today. This is due to industrial development, climate change, population growth, continued agricultural expansion aimed at increasing production to meet the permanent demand for food products. So sustainable use of groundwater resources in an area is required and the development of a sensible groundwater potential model is needed. Such studies can provide information about the groundwater potential area and the determination of productive well locations in the study area. This can reduce the extra labor and time required. This study used remote sensing, geographic information systems (GIS), and analytical hierarchy processes (AHP) in order to map the Orontes and Coastal basins in Syria and investigate their groundwater potential. For this purpose, five groundwater occurrence and movement controlling parameters (Geology, rainfall, slope, drainage density and soil) were prepared and transformed into raster data using QGIS software. These five thematic layers were allocated weights proportional to their importance according to the expert’s opinions. Furthermore, the final normalized weights of these layers were estimated using a pairwise comparison matrix of the AHP. Weights were determined to be 22.22% for geology, 49.93% for precipitation, 10.49% for slope, 8.83% for drainage density, and finally 8.53% for soil. Using ArcGIS software, weighted overlay technique was used to combine layers to create a groundwater potential zones map of study area. Four regions were identified on the final map: very good, good, moderate, and poor, representing 6.61%, 43.97%, 35.01% and 14.41% of the study area, respectively.