Markov chain was named after Andrew Markov. It is a mathematical system, which moves from a particular form to the other. It has the property of merorylessness given that the subsequent form relies on the present form, but not the whole sequence involved. This is the Markov chain’s characteristic. Markov chain is applicable in different real-world processes as statistical models and derived from random transitional process.