In order to grasp the integrated development level and spatial distribution characteristics of science and technology service industry and high-tech manufacturing industry (referred to as the “two industries”), this study establishes an evaluation index system for the two industries. Entropy method and coupling coordination degree model are used to measure the coupling and coordinated development levels of the two industries in 30 provinces and eight major comprehensive economic zones in China. The Dagum Gini coefficient decomposition method is employed to analyze the differences and causes of coupling and coordinated development of the eight major comprehensive economic zones. Additionally, a spatial econometric model is constructed to test the convergence. It is found that, from 2011 to 2020, the integration development of the two industries nationwide showed an upward trend, but the number of provinces and cities with coupling coordination degrees in the transitional and coordinated development ranges was limited, indicating a relatively low level of integration development..The level of integration development exhibited a decreasing trend from east to west, with significant regional disparities in industrial integration levels. The main factor leading to the overall regional differences was inter-regional disparity. The positive spatial correlation of the coupling coordination level remained stable, showing a significant high-high and low-low clustering patterns. The convergence test results for the coupling coordination level of the two industries in the eight comprehensive zones indicated that, except for the Middle Yellow River and Southwest economic zones, the other six zones exhibited significant σ convergence. The nation as a whole and the eight comprehensive economic zones displayed typical conditional convergence characteristics,?but the Northern and Southern Coastal comprehensive economic zones did not show absolute β convergence. In addition, the convergence test results of the four control variables varied, indicating that the driving factors for convergence of the eight comprehensive economic zones were also different.