Funding

Funding by the Federal Government

Sufficient public funding for AI support measures is necessary to continue to establish Germany as a location where AI is researched, applied and communicated. To this end, additional financial resources have been made available since 2019, particularly as part of the German government's AI strategy. Since 2019, the German government has invested an additional €2.5 billion in concrete AI projects in Germany. Of this, €492 million has already been spent on the projects - most of which run for several years.

Additional Federal Government Investment in AI Funding (since 2019)

Federal Government Funding by Category (committed Funds)

Source and survey: Data provided by the Federal Ministry of Education and Research (BMBF). The breakdown of funding by category is based on information provided by the respective responsible ministries.

Presentation by Plattform Lernende Systeme

Research | Skills

AI Professorships established by the Federal Government

The establishment of 100 new additional AI professorships in Germany will anchor and institutionally secure research and teaching on AI in the university landscape. The establishment of the professorships is part of the German government's AI strategy.

Establishment of 100 new additional AI Professorships in Germany (since 2019); 33 of them appointed from abroad

  • Distribution of AI professorships
  • 8 Alexander von Humboldt Professorships
  • 15 professorships at the 5 AI centres of excellence
  • 59 professorships via the Tenure-Track Programme
  • 7 professorships via programs of the German Research Foundation (DFG)
  • 11 professorships in cooperations between non-university research institutions and universities

Sponsored by the Federal Ministry of Education and Research

Distribution of the 100 new AI Professorships among 39 German Universities

Source and survey: Research and presentation by Plattform Lernende Systeme

Research

Publications and Citations

When considering Germany as a research location, the number of scientific articles published on AI by researchers at German universities and institutes is crucial. Based on this, it is also important how often other researchers worldwide cite from these publications. This reveals not only the relevance of the research location, but also its networking in an international context.

Scientific Articles on AI

  • Total number

  • Per 10 million inhabitants

Number of articles

Number of articles

From which Countries/Regions do the scientific Articles on AI originate, from which Researchers worldwide cite the most?

Article origin (in percent)

Source and survey: Stanford AI Index; based on surveys by the Center for Security and Emerging Technology at Georgetown University; also: Federal Statistical Office of Germany.

Scientific articles published by authors in the respective country are measured. In the case of co-authorship from different countries/regions, the articles are counted proportionally. For better international comparability, the number of articles is set in relation to the population size (articles per 10 million inhabitants). With regard to citations, the extent to which AI publications from which states/regions serve as a citation basis for researchers is measured. The year indicates the year of publication of the article, not the year of citation.

Figures are rounded; calculation and presentation by Plattform Lernende Systeme.

Research

AI Centres of Excellence

To strengthen the exchange between scientists in Germany, there is a nationwide network of six leading AI research institutions at a total of eleven locations, in addition to numerous institutions conducting research on AI. Through cooperation, synergies can be exploited and international visibility increased. This network of cutting-edge research forms a supporting pillar for the development of AI technologies. The AI centres of excellence are funded by the federal government and the German states.

Germany-wide Network of six AI Centres of Excellence at eleven Locations (as of 2022)

Source and survey: Research and presentation by Plattform Lernende Systeme

Skills

Learning Opportunities at Schools

In school computer science lessons, young people can be taught about the digital transmission and processing of data. A basic understanding of computer science already at school age can be the basic knowledge for later involvement (in studies, research and work) with AI. Thus, the teaching of appropriate content in schools in Germany plays a central role in the dissemination of AI skills in society and the economy.

Computer Science as a Subject taught in German Schools (as of 2022)

Source and survey: Informatics Monitor of the German Informatics Society.

Only grades 5 and above are taken into account; no computer science classes are offered below this level in Germany.

Presentation by Plattform Lernende Systeme

Transfer

Promotion Programs for SMEs

In order to support the transfer of findings from research on AI to application, the federal government and the federal states have set up 44 different programs. Small and medium-sized enterprises (SMEs) in Germany have access to a wide range of public programs to obtain advice on the application of AI. This interlinking of science and industry is of particular relevance for the successful implementation of AI technologies.

Transfer

AI Patents

AI patents are both the basis and the consequence of successful research and application of AI technologies. The number of new patents filed worldwide by scientists from Germany has a direct bearing on the innovation location and the know-how generated there.

Newly filed AI Patents

  • Total number

  • Per 10 million inhabitants

Newly filed AI patents

Newly filed AI patents

Source & survey: Fraunhofer Institute for Innovation and Systems Research; based on surveys of the World Patents Index; also: Federal Statistical Office of Germany.

AI patents newly filed by scientists residing in the respective state or region are measured. Since first applications are published with a delay of up to 18 months, data can only be presented with a corresponding delay. Second applications are not counted. For better international comparability, the number of patent applications is set in relation to the size of the population (patent applications per 10 million inhabitants).

Figures are rounded; calculation and presentation by Plattform Lernende Systeme

Transfer

Publicly funded Transfer Centers

Numerous institutions in Germany support the transfer of AI innovations from research to application. These transfer centers offer companies of different sizes tailored consulting, application support and networking with science. For the successful implementation of AI, the interlinking of science and industry is of particular relevance.

Research | Skills

Promotion of AI Junior Research Groups

To strengthen young scientists in AI research, the Federal Ministry of Education and Research (BMBF) and the German Research Foundation (DFG) are funding 56 junior research groups across Germany. These are made up of young researchers. The focus of the junior research groups is on novel and innovative AI topics. In addition, the scientists in these groups are to be given the opportunity to expand their research profile and their scientific visibility.

Skills

Study Programs related to AI

A wide selection of degree programs that focus on AI or Data Science, or that offer several modules, means that interested students in Germany can receive scientific training in these fields. They are the next generation for future AI research and AI application.

Source and survey: AI map of Plattform Lernende Systeme; based on data from the Higher Education Compass of the German Rectors' Conference (HRK) & on research by Plattform Lernende Systeme.

The survey covers degree programs that focus on AI and data science, either in whole or in part. Only state or state-recognized universities are listed. The data is continuously updated by reviewing relevant publications. Due to deviations in the survey and survey frequency, the number of study programs listed may deviate from the HRK's Higher Education Compass.

Presentation by Plattform Lernende Systeme

Skills

AI Skills of Professionals

For AI to be successfully applied in German companies, an important prerequisite is that the employees there have a basic understanding of AI. How widespread AI skills are is therefore relevant not only for the individual level of training of employees, but also for the survival of the company in national and international competition.

Proportion of Employees with AI Skills

Proportion of employees (in percent)

Source and survey: Stanford AI Index; based on surveys of the LinkedIn Economic Graph.

The prevalence of AI skills among employees is measured. It is based on information on the social network LinkedIn about AI skills or about employment at a corresponding company. The index shows the ratio of LinkedIn users with AI skills to all LinkedIn users in a country.

Figures are rounded; representation by Plattform Lernende Systeme.

Transfer

AI Start-ups

The number of new AI startups and the investment in them are indicators for observing the AI startup scene in Germany. It becomes visible which relevance AI has for the business models of young companies and how crucial startups are for the application of AI. The performance of startups and the level of trust in them can be measured on the basis of private investment in young companies in the AI sector. In Germany, 313 AI start-ups have been founded in the past ten years. Private investment in young AI companies amounted to $1.98 billion in 2021.

New Foundations and private Investment in AI Start-ups (since 2012)

  • Newly founded AI start-ups in Germany

  • Private investment in German AI start-ups

Newly founded AI start-ups

Investment (in Mio. Dollar)

Source and survey: German AI Startup Landscape of the Initiative for Applied Artificial Intelligence & Stanford AI Index; based on surveys by NetBase Quid.

The German AI Startup Landscape measures startups in Germany whose activities are related to machine learning. Primarily, startups that apply and/or develop AI are evaluated. Startups in the most current year may be underrepresented and will be leveled in follow-up surveys. The Stanford AI Index measures private investment in German AI startups.

A similar survey on AI startups was also conducted by the Leibniz Centre for European Economic Research (ZEW). Results are recorded in the publication AI Startups in Germany (in German).

Figures are rounded; representation by Plattform Lernende Systeme.