A data profile of the people who buy, follow and care about Predictive analytics in Germany — modelled from more than twelve digital signal sources. Predictive analytics has an estimated audience of 232,928 people in Germany.
The average Predictive analytics fan in Germany is 38.1 years old, more male, and lives primarily in Bayern.
The audience is concentrated in Bayern, Nordrhein-Westfalen, Baden-Württemberg.
Top brand affinities include Gardena (company), Data mining, Activism, with strongest over-indexing on Gardena (company) (47.74× the country average).
Demographically, the Predictive analytics audience skews more male with an average age of 38.1, and over-indexes on personality traits such as Mindfulness, Career Orientation.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 16 regions tracked by Rascasse.
The typical Predictive analytics fan in Germany is more male, around 38.1 years old, with strong Mindfulness tendencies and a notable affinity for Gardena (company).
The key figures that characterise the Predictive analytics profile in Germany.
38.1% are female, 61.9% are male, average age 38.1.
| Metric | Value |
|---|---|
| Female | 38.1% |
| Male | 61.9% |
| Average age | 38.1 |
| Estimated audience size | 232,928 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 19% | |
| 20-29 | 26% | |
| 30-39 | 19% | |
| 40-49 | 15% | |
| 50+ | 20% |
of the worldwide Predictive analytics audience comes from Germany.
| Country | Share |
|---|---|
| United States | 24.0% |
| India | 13.5% |
| Japan | 4.3% |
Where the Predictive analytics audience in Germany is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Berlin | ~30K | 2.60× | |
| 02 | Hamburg | ~10K | 2.43× | |
| 03 | Bayern | ~50K | 1.35× | |
| 04 | Baden-Württemberg | ~40K | 1.20× | |
| 05 | Hessen | ~20K | 1.19× | |
| 06 | Bremen | ~2K | 1.02× | |
| 07 | Nordrhein-Westfalen | ~50K | 0.93× | |
| 08 | Saarland | ~3K | 0.93× | |
| 09 | Thüringen | ~5K | 0.87× | |
| 10 | Mecklenburg-Vorpommern | ~4K | 0.87× | |
| 11 | Sachsen-Anhalt | ~5K | 0.86× | |
| 12 | Schleswig-Holstein | ~7K | 0.82× | |
| 13 | Rheinland-Pfalz | ~9K | 0.81× | |
| 14 | Brandenburg | ~6K | 0.80× | |
| 15 | Niedersachsen | ~20K | 0.75× | |
| 16 | Sachsen | ~9K | 0.75× |
The strongest cross-interests of the Predictive analytics audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Gardena (company) | Shopping | 47.74× | ||
| 02 | Data mining | Technology & Electronics | 44.60× | ||
| 03 | Great Pacific garbage patch | Travel & Leisure | 43.62× | ||
| 04 | Robotic lawn mower | Home & Garden | 37.62× | ||
| 05 | Software engineer | Technology & Electronics | 33.58× | ||
| 06 | Institute of Electrical and Electronics Engineers | Business & Career | 31.34× | ||
| 07 | Computer-aided engineering | Business & Career | 29.69× | ||
| 08 | Bachelor of Information Technology | Business & Career | 27.96× | ||
| 09 | Data visualization | Technology & Electronics | 19.72× | ||
| 10 | Activism | Politics & Society | 12.36× | ||
| 11 | Data science | Business & Career | 12.05× | ||
| 12 | Roborock | Home & Garden | 10.54× | ||
| 13 | Systems engineering | Business & Career | 10.20× | ||
| 14 | Database | Technology & Electronics | 8.15× | ||
| 15 | Computer programming | Technology & Electronics | 7.41× | ||
| 16 | Computer science | Business & Career | 6.91× | ||
| 17 | Social change | Politics & Society | 6.72× | ||
| 18 | Software engineering | Business & Career | 5.14× | ||
| 19 | Indeed.com | Business & Career | 3.86× | ||
| 20 | dB’s | Music & Radio | 1.70× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Mindfulness | BALANCE | 1.94× | |
| Career Orientation | POWER | 1.89× | |
| Individualism | JOY | 1.82× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Price Sensitivity | PREMIUM | 0.89× | |
| Spirituality | BALANCE | 1.02× | |
| Social Media Usage | JOY | 1.13× |
Predictive analytics has an estimated audience of 232,928 people in Germany, concentrated in Bayern and Nordrhein-Westfalen.
38.1% of Predictive analytics fans are female, 61.9% are male, with an average age of 38.1 years.
Predictive analytics fans show strongest brand affinity for Gardena (company) (47.74×), Data mining (44.6×), and Activism (12.36×) over the country average.
Predictive analytics fans in Germany are most concentrated in Bayern (reach ~50K), Nordrhein-Westfalen (reach ~50K), and Baden-Württemberg (reach ~40K). These three regions account for the largest share of the active audience.
Beyond Predictive analytics itself, the audience over-indexes on Data mining (44.6×), Activism (12.36×), Database (8.15×), and Robotic lawn mower (37.62×) compared to the Germany average.
Related profiles, rankings and the same audience in other markets.
Audience size is the estimated number of people in Germany who actively search for Predictive analytics. 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.
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.
From global mass-market brands to niche local segments — explore the full library and see which intelligence layers are included.