How Brands Are Named in Europe: Naming Trends from 2.75 Million Entries
What names do founders actually pick? We analysed 2.75M EU trademark names: the most common building blocks, the typical endings, and why popular patterns are harder to own.
Founder & Developer of markencheck.ai
August 3, 2026 · 3 min read

The name is the part of every launch where everyone gets stuck. So we analysed 2.75 million trademark names from the EU register (data source EUIPO) and looked at how brands in Europe are really named. In short: most founders reach for the same building blocks, and that is exactly what makes a name harder to own.
The most common building blocks
Count which words keep showing up in trademark names and three themes lead clearly: technology, sustainability and everything that sounds „smart".
| Building block | Names | Share |
|---|---|---|
| tech | 21,191 | 0.77% |
| eco / green | 13,173 | 0.48% |
| smart | 12,723 | 0.46% |
| pay | 3,989 | 0.14% |
| cloud | 3,887 | 0.14% |
| data | 3,865 | 0.14% |
„tech" appears in more than 21,000 names, from fintech to Techstars. „eco" and „smart" are almost level and show two moods side by side: sustainability and convenience. Fintech blocks like „pay", „cloud" and „data" follow behind.
The typical startup endings
Even more telling than the building blocks are the endings. Whoever names a startup reaches strikingly often for the same few syllables.
| Ending | Names | Blueprint |
|---|---|---|
| -io | 14,230 | the classic tech ending |
| -ly | 10,388 | Bitly, Feedly |
| -fy / -ify | around 4,294 | Spotify, Shopify |
| -ai | 3,327 | the AI zeitgeist |
„-io" and „-ly" have long become the badge of digital brands. And that is the catch: these endings signal „modern startup", but they do so for tens of thousands of others too.
The AI surge
One trend jumps out of the data: around 2,497 names contain „AI" or „GPT", 145 of them „GPT" directly. The snag is legal. In July 2026 the EU General Court refused even the „OpenAI" word mark as descriptive. Anyone naming their company „SomethingAI" today picks a name that is instantly clear but, for exactly that reason, hard to protect. More on this in our post Can you trademark an AI name.
Why popular also means risky
A common building block is a crowded field. A name that blends into tens of thousands of similar ones has it twice as hard: it sticks less, and it is more likely to collide with an already registered mark. On top of that, the more descriptive a name is, the harder it is to protect as a trademark at all. Whether a name is protectable is ultimately a legal assessment. What you can see for yourself right away is whether your desired name is already taken in the register or confusingly close.
Is your name already taken?
Search your desired name live against the EU trademark register for identical and similar marks. 3 free checks per day, no sign-up.
Methodology
We analysed around 2.75 million EU trademark names that carry a word element (pure figurative marks without text are not included). Building blocks were counted at word boundaries, endings at the last word part of the name. This is a deliberately conservative approximation over letter patterns, not a measurement of actual naming intent, so slight fuzziness is possible. The data source is the EU trademark register (EUIPO), as of our own database snapshot.
Takeaway
The data shows a clear pattern, and that pattern is also the warning: the obvious building blocks are long taken. A name that deliberately goes against the grain stands out more easily and is usually easier to protect. And whatever you choose, check early whether it is already registered before you invest in a logo, a domain and marketing.
Sources
- EUIPO – EU trade marks push IP filings to a record high in the first half of 2026 (2026)
- markencheck.ai – Trademark Report 2026 (analysis of the EU trademark register) (2026)
Frequently asked questions
Which brand names are most common in Europe?
In our analysis of 2.75 million EU trademark names, the most common building blocks are tech (around 21,000 names), eco (around 13,000) and smart (around 13,000). Among endings, -io and -ly dominate, the classic startup signature. The figures are an approximation over word parts, not a measurement of naming intent.
Why is a popular naming building block a risk?
The more often a building block appears, the more crowded the field. A name that blends into hundreds of similar ones is harder to recognise and more likely to collide with an existing mark. A purely descriptive or generic name is also harder to protect as a trademark. Whether a name is protectable is a legal assessment, not a matter of a register search alone.
How do I find out if my desired name is still free?
Define your Nice classes first, then check the EU trademark register for identical and similar marks, not just exact matches. This takes a few minutes and shows you where your name is already taken or confusingly close to an existing mark.
How many trademarks are named after AI?
Around 2,497 of the analysed EU trademark names contain AI or GPT, 145 of them GPT directly. The AI naming boom concentrates heavily in the software classes, where descriptive names are hardest to protect. In July 2026 the EU General Court even refused the OpenAI word mark as descriptive.
Founder & Developer of markencheck.ai
Founder & Developer of markencheck.ai. Focus: data-driven, AI-assisted trademark research and EUIPO register data. Not a lawyer — markencheck.ai is a technical research tool and no substitute for legal advice.
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