The invention relates to a prediction method for a spatial-temporal trajectory of a moving object in obstructed space. The prediction method comprises the following steps: simplifying the obstructed space by a regional relation between barriers; presetting an expected distance between two objects in the obstructed space, preprocessing trajectory data of the obstructed space, carrying out trajectories clustering, and mining historical hot spot regions of the moving object; taking a markov model as a basis, representing clusters as hot spot regions, determining the moving law of the moving object according to obstacle distances among the various hot spot regions and historical access habits, and taking all the historical hot spot regions of the moving object as future candidate positions to finish trajectory prediction. The data of the spatial-temporal trajectory of the moving object in the obstructed space are accurately and efficiently analyzed and predicted, and the prediction results obtained by the invention are accurate and reliable.