Rascasse Audience Intelligence

Machine learning Audience in United States

A data profile of the people who buy, follow and care about Machine learning in United States — modelled from more than twelve digital signal sources. Machine learning has an estimated audience of 8,155,316 people in United States.

#149among Field of study in United States#2695among Topic in United States#424in Business & Career

The average Machine learning fan in United States is 36.2 years old, more male, and lives primarily in California.

The audience is concentrated in California, Texas, Florida.

Top brand affinities include Sports, Movies, Music, with strongest over-indexing on Sports (1.98× the country average).

Demographically, the Machine learning audience skews more male with an average age of 36.2, and over-indexes on personality traits such as Career Orientation, Need for Security.

Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.

The typical Machine learning fan in United States is more male, around 36.2 years old, with strong Career Orientation tendencies and a notable affinity for Sports.

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 United States.

Audience size
8.2M
in United States
Gender
41.1%♀
58.9% male
Age
36.2
average years
Country rank
#4356
Topic in United States
Fig. 01

Search interest · 12-month trend

+597%
vs. last year
JanMarMayJulSepNov
Monthly searches · Source: Rascasse Audience Intelligence
Section 02

Demographics of Machine learning fans

41.1% are female, 58.9% are male, average age 36.2.

Fig. 02

Gender split

41.1%
Female
58.9%
Male
Demographic split for Machine learning audience in United States
MetricValue
Female41.1%
Male58.9%
Average age36.2
Estimated audience size8,155,316
Fig. 03

Age distribution

Ø 36.2
average years
Age distribution of the Machine learning audience in United States
Age bracketShare%
16-1928%
20-2921%
30-3918%
40-4916%
50+16%
Fig. 04

Worldwide distribution

17.4%

of the worldwide Machine learning audience comes from United States.

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 United States average. Example: 2.0× means twice as concentrated as the national baseline.

Geography

Where the Machine learning audience in United States is strongest.

Fig. 05

Top regions by affinity

Machine learning fans by region: top regions in United States
#RegionReachAffinity×
01Kansas~300K4.36×
02Louisiana~200K1.68×
03New York~800K1.65×
04Texas~1M1.62×
05Florida~900K1.59×
06Arkansas~100K1.50×
07Washington, District of Columbia~40K1.47×
08Oklahoma~100K1.45×
09California~1.5M1.42×
10Colorado~200K1.41×
11New Mexico~60K1.35×
12Massachusetts~200K1.29×
13Maryland~200K1.19×
14Mississippi~80K1.18×
15New Jersey~200K1.15×
16Wyoming~10K1.15×
17Virginia~200K1.11×
18Georgia~300K1.05×
19Washington~200K1.01×
20North Carolina~200K1.00×
21Connecticut~80K0.99×
22Illinois~300K0.94×
23South Carolina~100K0.92×
24Pennsylvania~200K0.89×
25Alabama~100K0.88×
26Idaho~40K0.88×
27Tennessee~100K0.87×
28Missouri~100K0.85×
29Arizona~100K0.84×
30New Hampshire~30K0.83×
31Rhode Island~20K0.82×
32Delaware~20K0.82×
33Utah~60K0.80×
34Indiana~100K0.78×
35Nevada~60K0.78×
36North Dakota~10K0.78×
37Oregon~70K0.77×
38Ohio~200K0.76×
39West Virginia~30K0.76×
40Michigan~200K0.75×
41Kentucky~80K0.74×
42South Dakota~10K0.72×
43Alaska~10K0.72×
44Iowa~50K0.71×
45Wisconsin~80K0.69×
46Nebraska~30K0.67×
47Montana~20K0.67×
48Minnesota~80K0.66×
49Hawaii~20K0.65×
50Maine~20K0.64×
Fig. 06

Affinity by region

Affinity by region — Machine learning, United States
0.64×1.00×4.36×
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×
01Google DocsInternet & Social Media2.82×
02ActingBusiness & Career2.64×
03CareerBusiness & Career2.48×
04Popular musicMusic & Radio2.40×
05AdventureTravel & Leisure2.38×
06TechnologyTechnology & Electronics2.08×
07Outdoor recreationSports2.03×
08MoviesMovies & TV2.02×
09SportsSports1.98×
10Consumer electronicsTechnology & Electronics1.96×
11ReadingLiterature1.94×
12EntertainmentMovies & TV1.94×
13MusicBusiness & Career1.90×
14GamesGames1.90×
15PetsPets & Animals1.90×
16FoodFood & Beverages1.86×
17Food and drinkFood & Beverages1.85×
18Live eventsMusic & Radio1.80×
19Personal financeBusiness & Career1.65×
20ClothingFashion & Accessoires1.51×
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
Career OrientationPOWER1.69×
Need for SecurityCONSERVATISM1.68×
Convenience OrientationPREMIUM1.61×
0×1.00× baseline2×
↓ Rather not
The weakest tendencies
Top personality traits over-indexed by Machine learning audience · Rather not
TraitClusterDeviationScore
DIY MentalityTHRILL0.93×
Quality AwarenessPREMIUM0.96×
Risk AppetiteTHRILL1.04×
0×1.00× baseline2×
Section 06

Frequently asked questions

01

How many fans does Machine learning have in United States?

Machine learning has an estimated audience of 8,155,316 people in United States, concentrated in California and Texas.

02

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

41.1% of Machine learning fans are female, 58.9% are male, with an average age of 36.2 years.

03

Which brands do Machine learning fans like most?

Machine learning fans show strongest brand affinity for Sports (1.98×), Movies (2.02×), and Music (1.9×) over the country average.

04

Where do Machine learning fans live in United States?

Machine learning fans in United States are most concentrated in California (reach ~1.5M), Texas (reach ~1M), and Florida (reach ~900K). 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 Movies (2.02×), Music (1.9×), Food and drink (1.85×), and Reading (1.94×) compared to the United States average.

Appendix

Explore more audiences

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

More Field of study audiences in United States

See Machine learning audiences in other countries

How to read this data

Audience size is the estimated number of people in United States 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 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.

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