I personally think this would lead to stagnation in the space. Because of competition, tensorflow is adding better ETL tools, dynamic computation graphs,..

I would be careful about having only 1 company's use cases served. Competition forces parties to innovate.

For example mxnet and cntk or even more recently caffe2 serve different use cases and companies.

Giving you a recent one with our deep learning framework (I compete with all the above frameworks): We compete in the big data niche and recently found a few bottlenecks we missed because people run comparisons.