Based on A-level logistics enterprise data from 2010 to 2020, using the average nearest neighbor, kernel density analysis and standard deviation ellipse methods, Chang-Zhu-Tan A-level spatial pattern of logistics enterprise was analyzed, while the geographical detector model was built from three angles of strength, trends, and the interaction to explore the main influencing factors and driving mechanism of spatial distribution of logistics enterprises. The main conclusions are as follows : 1) The gravity center of different levels of logistics enterprises is gradually shifting to the southeast direction, the agglomeration trend of 4A-level and above logistics enterprises is obvious, with Furong District as the “single core” , while the 3A-level and below logistics enterprises gradually present a “three cores” agglomeration pattern of Furong District, Shifeng District and Yuetang District; 2) Regional economic strength and transportation accessibility have a great influence on the spatial distribution of grade A logistics enterprises, the scale of trade market has a great influence on grade 4A and above logistics enterprises, while the regional policy has a great influence on grade 4A and below logistics enterprises; 3) The influence of interactive factors of spatial distribution of logistics enterprises at different levels is greater than that of isolated factors, which gradually develops towards the direction of equalization.