The study of spatial inequality and distributional dynamics of grain trade has important theoretical meaning and reference values in Asian’s food security. This paper combines index measurement with non-parameter estimation method to empirically reveal spatial inequality characteristics of Asian’s grain trade from regional disparities and spatial polarization. On the one hand, Moran’s I index is used to reveal the spatial agglomeration characteristics. On the other hand, Kernel density estimation is used to research the spatial polarization and its dynamic evolution. The findings show that Asian’s grain trade is significantly spatially unequal, and exists significant global spatial autocorrelation and local spatial agglomeration.