I have an anecdotal case for your EU vs US comparison.
EU has a ton more gov handouts for investing in Data. In a company I worked at a couple years ago we had a 8 person AI team that was almost(if not completely) funded by grants from the EU Comission and other such orgs. This AI team would work on many prototypes and concepts but contribute only marginally to the core business.
That might be one factor that bloats the numbers for EU companies when compared to the US, where you do have funding, but usually from VCs and stakeholders who want to see product ship.
Another possible driver: availability. US companies may simply not be able to fill many more data positions than they have. No point posting 10 new openings if you can't fill the one you've got.
I have an anecdotal case for your EU vs US comparison.
EU has a ton more gov handouts for investing in Data. In a company I worked at a couple years ago we had a 8 person AI team that was almost(if not completely) funded by grants from the EU Comission and other such orgs. This AI team would work on many prototypes and concepts but contribute only marginally to the core business.
That might be one factor that bloats the numbers for EU companies when compared to the US, where you do have funding, but usually from VCs and stakeholders who want to see product ship.
Another possible driver: availability. US companies may simply not be able to fill many more data positions than they have. No point posting 10 new openings if you can't fill the one you've got.