Is R Programming language losing its popularity in Data Science field?

Not in the slightest.

I think any perceived popularity loss is due in part by the wide adoption of those with CS-before-stats backgrounds investing their time in Python — a language that has a more general adoption in this community, to begin with.

On the other hand, those with stats-before-CS backgrounds are typically introduced to R first and thus form their most productive skills with this language.

It really boils down to what language someone dedicated most of their time creating valuable data solutions in. For those who studied CS in school, this tends to be Python. For those who studied stats in school, this tends to be R.

In the working world, many tech-focused industries prefer Python. Conversely, many companies whose product isn’t primarily digital in its delivery, such as healthcare or theme parks, prefer R.

One thought I’d like to end with: I have found that more and more entry-level candidates are coming out with stats degrees — no doubt because of their interest in data science — and are entering the workforce with R as their primary tool. If stats degrees continue to be popular for aspiring data scientists, I would bet that R’s popularity will only increase.