Abstract: The disclosure relates to a Field-Programmable Gate Array (FPGA) routing congestion prediction method and system. The method includes: first, an FPGA routing congestion prediction problem is modeled as an image conversion problem; feature information parameters are extracted according to the image conversion problem; and a cycle-consistency generative adversarial network model is defined to solve the image conversion problem, and a result of routing congestion prediction is obtained. Through the FPGA routing congestion prediction method and system designed by the disclosure, the result of routing congestion can be accurately predicted according to a series of intermediate and result files in a placement stage, thus reducing the time needed for routing iteration, further improving the working efficiency of an FPGA Electronic Design Automation (EDA) tool, and providing strong support for a healthy and sustainable development of the FPGA.