The invention discloses a prediction method of a workpiece surface form based on side milling machining, and belongs to the technical field of machine manufacturing simulation. The prediction method comprises the steps of comparing measured surface form data of a workpiece in the real-time machining processwith surface form data of a workpiece model and obtaining difference value data of the surface formdata of the workpiece and the surface form data of theworkpiece model as experimental random surface form data; according to a probability statistics method, a Pearson distributing cluster anda random number, processing the experimental randomsurface form data to obtain a surface form prediction random model; according to the surface form prediction random model of the workpiece model, changing machining parameters in a simulation model to obtain surface form data, corresponding to the machining parameters, of the workpiece in actual side milling machining, so that the surface form data of the workpiece is predicted. By means of the method, the advantages of experiment and a statistics method are integrated, the limit on the experiment is gotten rid of, operation is also simplified, and compared with an existing prediction method, the efficiency and the prediction precision are improved.