Abstract:Based on the current situation and characteristics of the development of big data industry and financial agglomeration, this paper selects the original data of 31 provinces in China from 2013 to 2017, measures the development level of big data industry and financial agglomeration level of 31 provinces by using hsitant fuzzy linguistic TOPSIS grey relational projection, and calculates the coupling coordination degree between big data industry and financial agglomeration by using the coupling coordination model. Empirical results show that, on the whole, the coordinated development types of large data industry and financial agglomeration in 31 provinces are five levels across regions, without the best type of coupling and coordination and the worst type of coupling and coordination. Spatially, the coordinated development degree of large data industry-financial agglomeration in the eastern region is higher than that in the central region, the central region is higher than that in the western and northeastern regions. In terms of time, the types of coupling and coordination are not unchanged. The types of coupling and coordination in Liaoning Province decreased in 2013 compared with 2017, while those in Anhui, Hubei and Hunan increased. The overall growth trend is greater than that in general, and the growth rate is slightly higher than that in deceleration.