The time complexity of an encryption algorithm can be assessed by analyzing the algorithm’s steps in relation to the size of the input data, often represented as O(n) or O(n log n). It’s crucial to consider this because high time complexity can lead to performance bottlenecks, especially under high load, potentially making the system vulnerable to timing attacks.