Data volume plays a crucial role in the performance of both machine learning and deep learning models. In general, more data leads to better performance. However, a deep learning model typically requires much larger amounts of analyze data to achieve comparable performance to a machine learning model. This is because they rely on deep learning solutions using features from data automatically, necessitating more examples to capture relevant patterns. Machine learning model, on the other hand, can often yield good results with relatively small datasets, but they require manual feature selection and feature engineering.