Gavle boasts 3 startups in our sample database.
Since 2022, Gavle lost 929 spots in the Global Startup Ecosystem Index, having now positioned itself as 929th worldwide.
Understand our ranking methodology and get the latest insights on the startup ecosystems of 100 countries and 1000 cities around the world!
Gavle is ranked within the top 1000 startup ecosystems globally.
Gavle’s startups excel particularly in Hardware & IoT where it ranks 262 and in undefined, and undefined. Find out more
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On our map, you can explore a total of 3 startups for Hardware & IoT.
Within Gavle there is an increased attraction for entrepreneurs to set up their startups in industries such as Hardware & IoT, , . These three industries account for all startups represented on Gavle's Startup Ecosystem Map.
Gavle is Sweden's 18th best startup ecosystem and is ranked 324th in Western Europe. With a population of <0.1M people, Gavle is ranked th in the world. The city boasts some notable startup success stories including Altris.
If you are a startup ecosystem developer in Gavle, you can grow your startup economy by becoming a partner.
Do small countries have an edge in building a startup ecosystem? In this episode, the StartupBlink team and Eli David discuss the unique advantages of small countries for building a thriving ecosystem. In StartupBlink’s Global Startup Ecosystem Index 2022, 9 out of the top 20 highest-ranked countries had a population of less than 10 million, […]
Collaborating with StartupBlink as a data partner can bring a range of benefits to your organization and ecosystem. As the most comprehensive startup ecosystem map and research center, we publish the Global Startup Ecosystem Index Report (GSEI) annually, ranking the top 1,000 cities and 100 countries worldwide. StartupBlink’s GSEI is based on an elaborate algorithm […]
What is Absolute Power? Generally, StartupBlink’s GSEI scoring algorithm calibrates the countries’ total score to their population size to check the startup outputs of countries per capita. The “Absolute Power” algorithm ignores the size of the population and looks at the absolute amount of startup output per country to compare their dominance regardless of population […]