From 2023 to 2025, Germany’s AI ecosystem experienced steady growth, characterised by a well-distributed research landscape across several geographic hubs and funding patterns that, while increasingly concentrated, remained relatively varied.
In 2025, AI research output was widespread across the country. The top research hubs by volume of activity were:
This distributed innovation footprint was driven by key organisations playing a pivotal role in technical breakthroughs, including the Technical University of Munich, Ludwig-Maximilians-Universität München, Karlsruhe Institute of Technology, Heidelberg University, and Universität Hamburg.
While knowledge creation is decentralised, capital allocation shows signs of increasing alignment with specific flagship hubs. In 2025, the top 5 cities attracting capital actually were:
This was reflected by the largest and most significant funding raised by companies such as Helsing, Quantum Systems, Neura Robotics, Parloa, and Noxtua during this period.
The data indicates a quite high degree of alignment between research density and capital flow in the primary hubs. In cities such as Munich and Berlin, technical breakthroughs are matched by substantial funding, fostering a stable environment favorable to late-stage growth.
In contrast, the 'long tail' of the ecosystem - comprising research-rich cities such as Frankfurt and Mannheim - faces different challenges. Although these hubs produce a high volume of technical breakthroughs, funding is often divided into smaller seed rounds.
To continue its momentum, Germany may need to ensure that research output from its technical universities is even better supported, given that funding patterns currently favour major metropolitan areas.