Abstract: 5G base stations are an important area of new infrastructure and a new way to empower industrial optimization and upgrading, economic transformation and investment stimulation. Clarifying the spatial differentiation characteristics of 5G base stations and the factors influencing their spatial distribution has implications for more scientific and rational planning of new infrastructure construction. This paper uses kernel density analysis, spatial autocorrelation analysis and spatial econometric models to comprehensively investigate the spatial patterns and influencing factors of 5G base stations in the Yangtze River Delta region. The results of the article show that: （1) The spatial distribution of 5G base stations at the county scale in the Yangtze River Delta region shows an obvious tendency to concentrate in central areas, forming a “Z” shaped high-value contiguous area in the core of the Yangtze River Delta, with low-value areas primarily distributed in the peripheral areas of the Yangtze River Delta, forming a regional central-peripheral spatial pattern with Shanghai-Nanjing-Hangzhou-Hefei as the core. (2) The high-value areas of 5G base station nucleation density in the Yangtze River Delta region are mainly located in municipalities. There is a clear digital infrastructure divide with non-municipal areas. The low-high heterogeneity area of 5G base stations in the Yangtze River Delta is mainly concentrated on the edge of the municipal area, which belongs to the transition zone from high value to low value area. The high-low heterogeneity area is mainly distributed in the area surrounded by low-low agglomeration areas, and the distribution is relatively isolated. (3) The spatial distribution of 5G base stations in the Yangtze River Delta region is significantly influenced by technical requirements, technical support and spatial factors. Compared to the factors affecting the spatial distribution of traditional information and communication infrastructure, there are some new features of the indicators affecting the spatial distribution of 5G base stations, in addition to factors such as population and level of economic development. For example, the economic subjectivity is clearer, the demand characteristics of specific groups of people are stronger, and the demand orientation of multiple subject types. These are conclusions which, to some extent, are instructive on how to proceed with the spatial allocation of new infrastructure. Finally, several recommendations are summarized on how to conduct 5G base station spatial deployment scientifically and rationally.