Algorithmic complexity is a measure of the computational resources required by an algorithm to solve a problem, often expressed in terms of time or space as a function of the input size. It is crucial for evaluating the efficiency and scalability of algorithms, guiding developers in choosing the most suitable algorithm for a given problem.