In many civil and military fields such as medical diagnosis, target early warning, and non-destructive testing, the non-contact real-time microwave imaging technology is of great significance. Though the inverse scattering imaging theory based non-iterative inversion method has natural real-time computing ability, its imaging results are poor and difficult to be practically utilized. To improve the inversion image quality, a sparse induction current real-time microwave imaging method is proposed. This method uses sparse prior information and a compressed sensing algorithm to solve the induced current in the imaging area, then combines the traditional non-interative inversion framework to achieve real-time imaging. Full-wave simulation results and microwave imaging system experiments verify the effectiveness of the proposed method. Compared with the traditional non-iterative inversion results, the proposed method has significant improvement in imaging quality and imaging speed for potential application in real-time monitoring and rapid imaging.