Still mostly NLP and image stuff. Most actual data in the wild is tabular - which GBTs are usually some combination of better and easier. In some circumstances, NN can still work well in tabular problems with the right feature engineering or model stacking.

They are also more attractive for streaming data. Tree-based models can't learn incrementally. They have to be retrained from scratch each time.