Big O Notation is a mathematical notation that describes the limiting behavior of a function, particularly useful for characterizing the performance or complexity of algorithms. It provides an upper bound on the Growth Rate of an algorithm's running time or space requirements as the input size grows, abstracting away constant factors. This powerful tool is fundamental for Algorithm Analysis, enabling comparison of efficiency across different computational approaches.