In view of the shortcomings of the existing relevant studies, this paper reconstructs the evaluation index system of regional tourism competitiveness, quantitatively evaluates the tourism competitiveness of 21 prefecture-level cities of Guangdong Province from 2010 to 2016 by applying entropy method, uses the spatial clustering analysis to have a further discussion about the tourism competitiveness differences among the cities, utilizes overall and local spatial auto-correlation analysis to explore the spatial evolution characteristics of tourism competitiveness of these cities. The results show that:1)There are obvious differences in the level of regional tourism competitiveness in Guangdong Province, mainly manifested in the high level of tourism competitiveness in the Pearl River Delta cities and the low level of tourism competitiveness in other regional cities; 2)The tourism competitiveness of each city has obvious self-correlation on the whole, showing a strong agglomeration effect, but the effect has a downward trend;3)The tourism competitiveness of various cities has formed a relatively stable spatial pattern, that is, the center is protruded, and the surrounding is sunken; 4)The spatial partial autocorrelation of tourism competitiveness level in different cities is not significant; 5)The spatial distribution of the hot-cold spot area presents a circle-level distribution gradually from the Pearl River Delta cities to the surrounding areas, forming the core-edge structure with the Pearl River Delta cities as the hotspot area. Based on these conclusions, this paper suggests that it is necessary to continually maintain the competitiveness advantage of the Pearl River Delta region while enhancing its radiation and leading role, increase the governmental support for tourism development in eastern Guangdong, western Guangdong and northern Guangdong, and strengthen exchanges and cooperation among regions (urbans) to promote the integration of regional tourism. This paper provides useful references for the study on tourism competitiveness evaluation and spatial pattern evolution in other regions outside Guangdong province, and also provides decision-making references for promoting regional tourism and economic development.