For the prediction of any kind of forecasting in planning, business, production, industry, marketing etc Markov model is used mainly used. Because Markov models are often used to model the probabilities of different states and the rates of transitions among them. The method is generally used to model systems. Markov models can also be used to recognize patterns, make predictions and to learn the statistics of sequential data. In probability theory, a Markov model is a stochastic model used to model pseudo-randomly changing systems. It is assumed that future states depend only on the current state, not on the events that occurred before it. So here in this paper author tried to use this Markov model for the prediction of COVID-19 and tried to analyze the statistical data globally. This analysis is very sophisticated. So two stochastic processes i.e. Markov chain and Markov process are use for the analysis.