Machine learning Audience in Germany

Demographics of Machine learning fans

Audience persona

The typical Machine learning fan in Germany is more male, around 34.4 years old, with strong Early Adopter Mentality tendencies and a notable affinity for GitHub.

Top regions in Germany

Top brand affinities

Brands and entities this audience over-indexes on, vs. the country average.

Psychographic profile

Top six personality traits over-indexed by this audience (1.0 = country average).

Worldwide distribution

See Machine learning audiences in other countries

• Machine learning — United States
• Machine learning — United Kingdom
• Machine learning — France
• Machine learning — Italy
• Machine learning — Spain
• Machine learning — Brazil
• Machine learning — Japan
• Machine learning — South Korea
• Machine learning — India

More Field of study audiences in Germany

• Music (36,021,786)
• Politics and social issues (25,114,359)
• Architecture (15,753,302)
• Advertising (15,166,229)
• Psychology (15,090,985)

Frequently asked questions

How many fans does Machine learning have in Germany?

Machine learning has an estimated audience of 1,694,759 people in Germany, concentrated in Bayern and Nordrhein-Westfalen.

What is the gender split and age of Machine learning fans?

36.9% of Machine learning fans are female, 63.1% are male, with an average age of 34.4 years.

Which brands do Machine learning fans like most?

Machine learning fans show strongest brand affinity for GitHub (7.55×), Programming language (4.53×), and Data science (8.15×) over the country average.

Where do Machine learning fans live in Germany?

Machine learning fans in Germany are most concentrated in Bayern (reach 376,201), Nordrhein-Westfalen (reach 369,388), and Baden-Württemberg (reach 319,821). These three regions account for the largest share of the active audience.

What other brands do Machine learning fans also like?

Beyond Machine learning itself, the audience over-indexes on Programming language (4.53×), Data science (8.15×), HTML (6.53×), and PHP (5.6×) compared to the Germany average.

How to read this data

Audience size is the estimated number of people in Germany who actively search for Machine learning. Affinity is an over-index ratio: 2.0× means the audience is twice as likely to engage with that brand or trait as the country average. Reach is the estimated number of audience members in a region. Regional and brand-affinity tables are sorted from strongest signal to weakest.

About this audience profile

This audience profile is generated by Rascasse from anonymized search-behavior signals across Germany. For methodology see methodology. Affinity values are over-index ratios vs. the country average (1.0 = baseline). Audience sizes are estimated, not measured.