Our study assessed the potential distribution of Madhuca insignis in India by employing modeling through identified bioclimatic variables (present and future) and documented distribution data. The MaxEnt software was utilized to simulate the current distribution of M. insignis and project the range shift in future climatic scenarios. The future climate data was downscaled using the delta method to 30 arc seconds (1000m) used to predict the suitable habitat M. insignis starting from 2020 to 2080 with 20-year intervals using two different general circulation models (GCM). Habitat assessment of the species shows the average and sporadic distribution within the study area. The model works well with fragmented sample sites of occurrence data and environmental variables, both continuous and categorical. ENM of critically endangered species like M. insignis helps plan land use management around the existing natural populations, identify top-priority hotspot regions, and identify newer populations and suitable niches.