> Python, Ruby, JavaScript have all found huge niches since then.
And Perl has a much smaller niche, and JavaScript's niche is hard to pin down since it's often just a compilation target for typed languages (Dart, TypeScript, etc.).
Language marketshare ebbs and flows, but I don't think the overall ratio has changed much. Statically typed languages are still largely dominant.
I can't think of any domain that was dominated by a statically typed language that a dynamically typed language took over, and every new domain that cropped up with dynamically typed solutions has equally good statically typed competitors.
Most of the people I know who program in JavaScript are using JavaScript, I'm kind of the odd ball for using Typescript though I hope that's changing. JavaScript still has most of the market share for languages that compile to JavaScript. There is a huge web community out there that still haven't been exposed to very much static typing, by numbers at least.
Machine learning was done in mostly C++ before Python took pretty much the entire domain. Mind you, this is mostly cultural, I don't think it has anything to do with types (more like C++ is a PITA, python is much easier to use).
My only claim, however, is that static languages haven't really made much inroads since 2008, and it feels like there is a lot of regression going on (e.g. with machine learning).
And Perl has a much smaller niche, and JavaScript's niche is hard to pin down since it's often just a compilation target for typed languages (Dart, TypeScript, etc.).
Language marketshare ebbs and flows, but I don't think the overall ratio has changed much. Statically typed languages are still largely dominant.
I can't think of any domain that was dominated by a statically typed language that a dynamically typed language took over, and every new domain that cropped up with dynamically typed solutions has equally good statically typed competitors.