- Data analytics
Uber's $1B push into seven new European food delivery markets

Uber targets 7 new European markets by 2026. Learn how data intelligence helps delivery platforms navigate this new competitive landscape.
Uber recently announced plans to expand its food delivery services into seven new European markets by 2026: the Czech Republic, Austria, Denmark, Finland, Greece, Norway, and Romania. The company is targeting a massive revenue boost, and local players and international rivals now have to rethink their growth strategies.
The new markets mix high-spending Nordic consumers with rapidly growing urban centers in Eastern Europe. Uber's arrival sets off a battle with existing platforms in these regions for the loyalty of the most profitable restaurant partners and the attention of a shared customer base.
Entering seven distinct markets at once requires capital and a deep understanding of local restaurant densities and existing consumer habits. Most companies struggle during expansion because they lack a clear view of the digital infrastructure already in place, and manual research is too slow and often inaccurate for this scale of growth. Without granular data, it is impossible to see which neighborhoods are underserved or which restaurant chains are exclusive to a competitor.
A city's current digital footprint of restaurants shows where the competition is strongest and where the white space exists, so a company can predict which areas will be the most profitable before a single delivery driver is hired. Platforms defending their home turf and chains deciding which delivery partner to prioritize need the same view.
White space and exclusive chains decide where Uber can win
Every expansion or defensive strategy starts with the competitive terrain. A market landscape analysis shows where the open opportunities and competitor blind spots are, so executives can protect their market share as Uber arrives.
If you want to map restaurant density and exclusive chains in the seven markets Uber is entering, reach out to our team at DoubleData.
