Rascasse Audience Intelligence

Building information modeling Audience in United States

A data profile of the people who buy, follow and care about Building information modeling in United States — modelled from more than twelve digital signal sources. Building information modeling has an estimated audience of 823,643 people in United States.

#9410among Topic in United States#1708in Business & Career

The average Building information modeling fan in United States is 37.2 years old, more male, and lives primarily in California.

The audience is concentrated in California, Texas, Florida.

Top brand affinities include WindowBlinds, AutoCAD, Castorama, with strongest over-indexing on WindowBlinds (36.9× the country average).

Demographically, the Building information modeling audience skews more male with an average age of 37.2, and over-indexes on personality traits such as Quality Awareness, Design Affinity.

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

The typical Building information modeling fan in United States is more male, around 37.2 years old, with strong Quality Awareness tendencies and a notable affinity for WindowBlinds.

Category: Business & Career · Type: Topic

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 Building information modeling profile in United States.

Audience size
824K
in United States
Gender
38.6%♀
61.4% male
Age
37.2
average years
Country rank
#26949
Topic in United States
Fig. 01

Search interest · 12-month trend

-5%
vs. last year
JanMarMayJulSepNov
Monthly searches · Source: Rascasse Audience Intelligence
Section 02

Demographics of Building information modeling fans

38.6% are female, 61.4% are male, average age 37.2.

Fig. 02

Gender split

38.6%
Female
61.4%
Male
Demographic split for Building information modeling audience in United States
MetricValue
Female38.6%
Male61.4%
Average age37.2
Estimated audience size823,643
Fig. 03

Age distribution

Ø 37.2
average years
Age distribution of the Building information modeling audience in United States
Age bracketShare%
16-1926%
20-2920%
30-3918%
40-4918%
50+18%
Fig. 04

Worldwide distribution

10.0%

of the worldwide Building information modeling audience comes from United States.

Worldwide audience distribution share by country for Building information modeling
CountryShare
Japan25.4%
United States10.0%
Brazil8.2%
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 Building information modeling audience in United States is strongest.

Fig. 05

Top regions by affinity

Building information modeling fans by region: top regions in United States
#RegionReachAffinity×
01Oregon~10K1.45×
02Idaho~6K1.36×
03Virginia~30K1.34×
04Colorado~20K1.29×
05North Carolina~30K1.24×
06Washington, District of Columbia~3K1.24×
07Arizona~20K1.17×
08Utah~9K1.17×
09California~100K1.15×
10Washington~20K1.14×
11Texas~80K1.13×
12Kansas~7K1.13×
13New York~50K1.08×
14Massachusetts~20K1.04×
15Louisiana~10K1.03×
16Indiana~20K1.02×
17Alaska~2K1.02×
18Georgia~30K1.01×
19New Jersey~20K1.01×
20Maryland~10K1.01×
21New Mexico~4K1.01×
22South Dakota~2K1.01×
23Illinois~30K1.00×
24Montana~2K1.00×
25North Dakota~2K1.00×
26Hawaii~3K0.99×
27Vermont~1K0.99×
28Missouri~10K0.98×
29Nebraska~4K0.98×
30Iowa~7K0.97×
31Rhode Island~3K0.96×
32Florida~50K0.95×
33Ohio~20K0.95×
34Tennessee~20K0.94×
35South Carolina~10K0.93×
36Nevada~7K0.93×
37New Hampshire~3K0.93×
38Maine~3K0.93×
39Delaware~2K0.93×
40Kentucky~9K0.91×
41Minnesota~10K0.90×
42Alabama~10K0.90×
43West Virginia~3K0.90×
44Mississippi~6K0.89×
45Arkansas~6K0.89×
46Pennsylvania~20K0.88×
47Wisconsin~10K0.88×
48Connecticut~7K0.87×
49Oklahoma~8K0.86×
50Michigan~20K0.81×
Fig. 06

Affinity by region

Affinity by region — Building information modeling, United States
0.81×1.00×1.45×
Section 04
Brands and entities this audience over-indexes on, vs. the country average.

Audience interests & affinities

The strongest cross-interests of the Building information modeling audience — brands, topics and people combined.

Fig. 07

Top cross-interests, ranked by affinity

Top brand affinities (over-index vs. country average) for Building information modeling audience
#·InterestCategoryAffinity×
01CastoramaShopping41.80×
02WindowBlindsTechnology & Electronics36.90×
03B&QShopping32.94×
04AutoCADTechnology & Electronics31.86×
05PrintempsFashion & Accessoires27.05×
06Semi-detachedHome & Garden20.33×
07Christian SlaterMovies & TV20.00×
08AutodeskTechnology & Electronics14.65×
09SketchUpMovies & TV13.97×
10BodrumTravel & Leisure12.16×
11The DoorsMusic & Radio11.85×
123D modelingTechnology & Electronics6.56×
13CanvaTechnology & Electronics6.00×
14Minnesota WildSports5.48×
15Art exhibitionArts & Culture4.35×
16Luxury real estateBusiness & Career3.99×
17Hair ExtensionsBeauty & Wellness3.72×
18Planet FitnessSports3.18×
19MuseumArts & Culture3.02×
20RenovationHome & Garden2.89×
Section 05
Top six personality traits over-indexed by this audience (1.0 = country average).

Personality of the Building information modeling 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 Building information modeling audience · What stands out
TraitClusterDeviationScore
Quality AwarenessPREMIUM4.51×
Design AffinityPREMIUM2.92×
Luxury OrientationPREMIUM2.59×
0×1.00× baseline2×
↓ Rather not
The weakest tendencies
Top personality traits over-indexed by Building information modeling audience · Rather not
TraitClusterDeviationScore
IndulgenceJOY0.59×
Price SensitivityPREMIUM0.80×
Family OrientationCONSERVATISM0.85×
0×1.00× baseline2×
Section 06

Frequently asked questions

01

How many fans does Building information modeling have in United States?

Building information modeling has an estimated audience of 823,643 people in United States, concentrated in California and Texas.

02

What is the gender split and age of Building information modeling fans?

38.6% of Building information modeling fans are female, 61.4% are male, with an average age of 37.2 years.

03

Which brands do Building information modeling fans like most?

Building information modeling fans show strongest brand affinity for WindowBlinds (36.9×), AutoCAD (31.86×), and Castorama (41.8×) over the country average.

04

Where do Building information modeling fans live in United States?

Building information modeling fans in United States are most concentrated in California (reach ~100K), Texas (reach ~80K), and Florida (reach ~50K). These three regions account for the largest share of the active audience.

05

What other brands do Building information modeling fans also like?

Beyond Building information modeling itself, the audience over-indexes on AutoCAD (31.86×), Castorama (41.8×), B&Q (32.94×), and Christian Slater (20×) compared to the United States average.

Appendix

Explore more audiences

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

More Business & Career audiences in United States

See Building information modeling audiences in other countries

How to read this data

Audience size is the estimated number of people in United States who actively search for Building information modeling. 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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