Provided is a data augmentation system including at least one processor configured to: acquire a first search query including a first named entity, which was actually input in a search executed in a past; execute training of a first model that outputs a second search query including a virtual second named entity, which is different from the first named entity, based on the first search query; and execute data augmentation based on the second search query output by the trained first model.