Tokenization is important in machine learning because it enables efficient and accurate analysis of text data. By breaking down text into smaller units, tokenization allows machine learning models to process and understand the text more effectively. This is crucial for tasks like sentiment analysis, text classification, and machine translation, where the model needs to analyze and make predictions based on the text data.