The current research set out to use an integrated Analytic Hierarchy Process (AHP) and Geographic Information System (GIS) technique to determine which areas in the semi-arid to sub-tropical environment of the South Gujarat Region, Western India, were most suited for growing pigeon pea [Cajanus cajan (L.) Millsp.] This study used key parameters of soil and climate for the AHP that included texture of soil, depth of soil, AWC, slope, rainfall, soil EC, and pH. The analysis's parameter weights and sub-parameter scores were obtained using the AHP technique. Land suitability for pigeon pea cultivation was evaluated using the modeling features of GIS in a weighted overlay analysis of input parameters. The findings reveal, nearly an area of 17.3% (369240.0 ha) clustered as highly suitable, 29.58% (631250.0 ha) as moderately suitable, 9.02% (192470.0 ha) as marginally suitable, and 26.82% (572370.0 ha) is deemed unsuitable for pigeon pea cultivation in the study area. The analysis shows that, combined AHP and GIS method displayed to be highly potent in enhancing the land suitability evaluation precision. The analysis of the disparities among the identified potential areas and the existing mean pigeon pea area under cultivation from 2015–16 to 2022-23 indicates that approximately 10.9% (232672.9 ha) land under highly suitable and 40.5% (863922.9 ha) of both highly and moderately suitable land are available for expanding pigeon pea cultivation in the South Gujarat Region to boost the production and productivity with the available inputs and natural resources.