Exponential time complexity refers to algorithms whose growth doubles with each addition to the input data set, making them impractical for large inputs due to their rapid escalation in required computational resources. These algorithms are often encountered in problems that involve combinatorial processes, such as the traveling salesman problem or certain recursive algorithms.