Deep learning Audience in United States

Demographics of Deep learning fans

Audience persona

The typical Deep learning fan in United States is more male, around 31.9 years old, with strong Need for Security tendencies and a notable affinity for Gemini.

Top regions in United States

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 Deep learning audiences in other countries

• Deep learning — Germany
• Deep learning — United Kingdom
• Deep learning — France
• Deep learning — Italy
• Deep learning — Spain
• Deep learning — Brazil
• Deep learning — Japan
• Deep learning — South Korea
• Deep learning — India

More Tech trend audiences in United States

• Cloud computing (36,957,809)
• Artificial intelligence (33,234,370)
• Creative Commons (29,190,385)
• Home automation (15,917,688)
• Efficient energy use (14,024,853)

Frequently asked questions

How many fans does Deep learning have in United States?

Deep learning has an estimated audience of 805,537 people in United States, concentrated in California and New York.

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

33.3% of Deep learning fans are female, 66.7% are male, with an average age of 31.9 years.

Which brands do Deep learning fans like most?

Deep learning fans show strongest brand affinity for Gemini (53.03×), Grok (46.38×), and ElevenLabs (90.56×) over the country average.

Where do Deep learning fans live in United States?

Deep learning fans in United States are most concentrated in California (reach 183,687), New York (reach 80,944), and Texas (reach 79,248). These three regions account for the largest share of the active audience.

What other brands do Deep learning fans also like?

Beyond Deep learning itself, the audience over-indexes on Grok (46.38×), ElevenLabs (90.56×), Node.js (18.38×), and SQL (29.69×) compared to the United States average.

How to read this data

Audience size is the estimated number of people in United States who actively search for Deep 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 United States. For methodology see methodology. Affinity values are over-index ratios vs. the country average (1.0 = baseline). Audience sizes are estimated, not measured.