Skiing is currently the most popular winter outdoor recreation in China, thanks to the progressive growth of the ski sector. The construction of ski resorts would assist mountain communities economically. The Chinese ski sector is now booming, with the number of ski resorts expanding considerably. The geographical structure and driving causes for these ski regions, however, are poorly understood. Applying nearest neighbor ratio (NNR) analysis and the Spatial Lorentz Curve, this research examines the spatial patterns of these venues in detail. Kernel density estimation is used to identify hotspots (KDE). Furthermore, a regression analysis was used to discover the characteristics that influence the spatial distribution. We also look at the impact of the Internet of Things (IoT) on venue structural optimization. While China’s ski regions were regionally distributed, the results show that ski areas are much a higher chance of being found at latitudes (northeast and northwest China) than at latitudes (central and south China). The key elements that affect the distribution of resorts vary by location and ski resort type. The implications for the ski resorts sector are explored, including the varied practices for cold and hot spot regions of China’s ski areas, as well as the ski industry’s future development orientation.