Abstract：Based on the strategy of rural revitalization and the perspective of earth sciense, combining the local demands of industrial development transformation in Naiman Banner, Inner Mongolia, this study utilizes enterprise big data obtained from the Tianyancha database, GIS-based spatial distribution analysis, and big data analytics to reveal the spatiotemporal evolution characteristics of industrial development in Naiman Banner and explore the influencing factors of its spatial pattern. The results indicate that the spatial distribution of industries in Naiman Banner has gradually evolved into a belt-shaped pattern, centered around Daqintala Town and extending in a north-south orientation across the banner. Population distribution, transportation infrastructure, and land use significantly influence the industrial spatial pattern, with industries tending to cluster in urban areas near national and provincial highways, a trend more pronounced in densely populated regions. Based on the analytical results and practical industrial development conditions, this study proposes scientific recommendations for structural transformation and spatial optimization of industrial development in Naiman Banner, offering actionable insights for local policymaking.