Groundwater is a valuable natural resource in the world and it is the most fundamental asset for the development of a country. In the Tekeze River basin, particularly in the study area, groundwater development for various purposes is increasing. Assessment of the groundwater potential is very crucial for sustainable use of groundwater. Therefore, the objective of this study was to assess the groundwater potential in Wokin zuriaya area by using GIS-based Multi Criteria Decision Analysis (MCDA) based on Saaty’s Analytical Hierarchy Process (AHP. The study was using eight important factors (thematic layers) affecting groundwater distribution derived from satellite data and observed data. These factors were geology, lineaments, drain-age density, geomorphology/landform, rainfall, slope, land use/ cover and soil properties. The normalized rates for classes in a layer and weights for thematic layers were computed using AHP. The groundwater potential was determined by overlay methods based on assign rates and weight using Arc GIS spatial analysis tool. Finally integrated using Weight Overlay, a spatial analyst ArcGIS tool to produce a groundwater potential zone map of the study area. Four different groundwater potential zones were identified; 32.19% very good, 47.23% good, 19.70% poor and 0.88% very poor groundwater potential zones have been identified. The re-sulted groundwater potential map was validated by over laying borehole and springs yield data classified in to four low (0-3), moderent (3-6) high (6-20) and very high (>20) l/s. These maps were good agreement (76%) with groundwater potential map. Springs and deep well area were dominant for successful groundwater potential occurrence in study area. It can be concluded that the integrated GIS and RS techniques are very efficient and useful for assessing ground-water potential zones in the study area and for areas having similar climatic and physical characteristics. The study recommended that, generated GWPZM will serve as useful guide-lines for planners, engineers and decision makers providing quick decision- making in the management of groundwater resources. Keywords: Groundwater potential, GIS, Remote Sensing, AHP