A Markov Chain is a mathematical system that undergoes transitions from one state to another on a state space, with the probability of each state depending only on the previous state and not on the sequence of events that preceded it. This memoryless property is known as the Markov property, making Markov Chains particularly useful for modeling random processes in various fields such as finance, genetics, and computer science.