Rascasse Audience Intelligence

Machine learning Audience in Germany

A data profile of the people who buy, follow and care about Machine learning in Germany — modelled from more than twelve digital signal sources. Machine learning has an estimated audience of 1,694,759 people in Germany.

#139among Field of study in Germany#2197among Topic in Germany#375in Business & Career

The average Machine learning fan in Germany is 34.4 years old, more male, and lives primarily in Nordrhein-Westfalen.

The audience is concentrated in Nordrhein-Westfalen, Bayern, Baden-Württemberg.

Top brand affinities include GitHub, Programming language, Data science, with strongest over-indexing on GitHub (7.55× the country average).

Demographically, the Machine learning audience skews more male with an average age of 34.4, and over-indexes on personality traits such as Need for Security, Individualism.

Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 16 regions tracked by Rascasse.

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

Category: Business & Career · Type: Topic · Subtype: Field of study

The data on this page comes from the Rascasse audience panel and is refreshed monthly from search, social and browsing signals. As of 2026-08-10.

Section 01

At a glance

The key figures that characterise the Machine learning profile in Germany.

Audience size
1.7M
in Germany
Gender
36.9%♀
63.1% male
Age
34.4
average years
Country rank
#3958
Topic in Germany
Fig. 01

Search interest · 12-month trend

+49%
vs. last year
JanMarMayJulSepNov
Monthly searches · Source: Rascasse Audience Intelligence
Section 02

Demographics of Machine learning fans

36.9% are female, 63.1% are male, average age 34.4.

Fig. 02

Gender split

36.9%
Female
63.1%
Male
Demographic split for Machine learning audience in Germany
MetricValue
Female36.9%
Male63.1%
Average age34.4
Estimated audience size1,694,759
Fig. 03

Age distribution

Ø 34.4
average years
Age distribution of the Machine learning audience in Germany
Age bracketShare%
16-1931%
20-2923%
30-3919%
40-4915%
50+12%
Fig. 04

Worldwide distribution

3.6%

of the worldwide Machine learning audience comes from Germany.

Worldwide audience distribution share by country for Machine learning
CountryShare
United States17.4%
India11.1%
China4.5%
Section 03
Affinity (×) = how much more likely a member of this audience is to live in a region than the Germany average. Example: 2.0× means twice as concentrated as the national baseline.

Geography

Where the Machine learning audience in Germany is strongest.

Fig. 05

Top regions by affinity

Machine learning fans by region: top regions in Germany
#RegionReachAffinity×
01Berlin~100K1.63×
02Hamburg~60K1.52×
03Baden-Württemberg~300K1.32×
04Hessen~200K1.30×
05Bayern~300K1.28×
06Bremen~20K1.10×
07Nordrhein-Westfalen~400K1.07×
08Saarland~20K0.98×
09Rheinland-Pfalz~80K0.88×
10Thüringen~40K0.87×
11Sachsen~70K0.86×
12Schleswig-Holstein~50K0.85×
13Niedersachsen~100K0.83×
14Brandenburg~40K0.73×
15Sachsen-Anhalt~30K0.70×
16Mecklenburg-Vorpommern~20K0.63×
Fig. 06

Affinity by region

Affinity by region — Machine learning, Germany
0.63×1.00×1.63×
Section 04
Brands and entities this audience over-indexes on, vs. the country average.

Audience interests & affinities

The strongest cross-interests of the Machine learning audience — brands, topics and people combined.

Fig. 07

Top cross-interests, ranked by affinity

Top brand affinities (over-index vs. country average) for Machine learning audience
#·InterestCategoryAffinity×
01Data scienceBusiness & Career8.15×
02Data analysisTechnology & Electronics7.61×
03GitHubInternet & Social Media7.55×
04Big dataBusiness & Career7.04×
05Night ClubMusic & Radio7.04×
06SQLTechnology & Electronics6.84×
07HTMLTechnology & Electronics6.53×
08Java (programming language)Technology & Electronics6.39×
09MySQLTechnology & Electronics6.37×
10PHPTechnology & Electronics5.60×
11Software developmentBusiness & Career4.64×
12Programming languageTechnology & Electronics4.53×
13Python (programming language)Technology & Electronics4.53×
14Node.jsTechnology & Electronics4.20×
15JavaScriptTechnology & Electronics4.07×
16Software engineeringBusiness & Career3.94×
17Computer engineeringBusiness & Career3.92×
18Computer programmingTechnology & Electronics3.69×
19Artificial intelligenceTechnology & Electronics3.24×
20GeminiTechnology & Electronics3.01×
Section 05
Top six personality traits over-indexed by this audience (1.0 = country average).

Personality of the Machine learning audience

Values above 1.00× are above the country average, values below 1.00× below it.

Fig. 08

Deviation from the national baseline

↑ What stands out
The strongest tendencies
Top personality traits over-indexed by Machine learning audience · What stands out
TraitClusterDeviationScore
Need for SecurityCONSERVATISM1.71×
IndividualismJOY1.61×
Early Adopter MentalityPOWER1.39×
0×1.00× baseline2×
↓ Rather not
The weakest tendencies
Top personality traits over-indexed by Machine learning audience · Rather not
TraitClusterDeviationScore
ExtroversionTHRILL0.63×
CreativityOPEN0.72×
Price SensitivityPREMIUM0.77×
0×1.00× baseline2×
Section 06

Frequently asked questions

01

How many fans does Machine learning have in Germany?

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

02

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.

03

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.

04

Where do Machine learning fans live in Germany?

Machine learning fans in Germany are most concentrated in Nordrhein-Westfalen (reach ~400K), Bayern (reach ~300K), and Baden-Württemberg (reach ~300K). These three regions account for the largest share of the active audience.

05

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.

Appendix

Explore more audiences

Related profiles, rankings and the same audience in other markets.

More Field of study audiences in Germany

See Machine learning audiences in other countries

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.

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