The global minimum refers to the lowest point in the entire domain of a function, representing the smallest output value that the function can achieve. It is crucial in optimization problems where the goal is to find the most efficient or least costly solution, and distinguishing it from local minima is essential to ensure the optimal result is truly the best possible outcome.