Personally at least.
I used to work in one of the largest banks in the world, and everything we did was SAS/MSSQL.
I had some personal stuff in R, but most of the other analysts didn't seem too interested except using what I made for them except for one phd in the German department. I never pushed it though since there was so much legacy code, including code I had written my self.
Now I have switched to a start-up bank, and I am the only analyst.
I've used R/RStudio/Shiny with PostgreSQL in the back very successfully, with all code in git. Now I can bring good analysis forth much faster than I used to in SAS that can be viewed on any device with the option of downloading the source data in excel and csv.
The management loves this.
If you show them a few good ones they will want more, but I wouldn't start to rewrite all the legacy code. SAS isn't bad when you have it set up properly.
But another good thing about R is that you get access to innovation in the statistics fields faster, and you don't have to pay huge sums of money for extra features.
RStudio and Shiny is a bit expensive for the pro versions, but nothing compared to SAS, and the open source versions are free.