It's incredibly true. Python is usually used more since it's much closer to how the quant. model will look in production anyway. With R, a data scientist / analyst would need to be paired with an engineer who'd actually know how to build the model in production, which takes longer.
It does depend heavily on what industry though. Industries more closely resembling academia, e.g. economic consulting firms, political consulting firms, use R a ton more, but tech companies are dominated by Python. The places within tech companies that still use R again resemble academic environments, so the R&D / statistician group of a tech company may use a lot of R since they're academia transplants.
