Asymptotic Analysis is a method of describing the behavior of algorithms as the input size grows towards infinity, providing a way to compare the efficiency of algorithms beyond specific implementations or hardware constraints. It focuses on the growth rates of functions, using notations like Big O, Theta, and Omega to classify algorithms based on their time or space complexity.