This paper is concerned with prediction for discrete-time stochastic processes with switching parameters modelled as a finite-state Markov chain, whose transition probability matrix is assumed to be known. For these processes an adaptive predictor, called the multi-model adaptive predictor, is proposed. A simulation example shows the behaviour of the predictor.