This paper introduces a threshold dynamic factor model for the analysis of vector time series which shows non-linear behavior of threshold type. We propose an estimation procedure combining an EM algorithm with a grid search procedure by the ways of the Kalman filter and smoothing recursions. We estimate common latent threshold factors that may explain the dynamic relationships within the group of variables.