A data profile of the people who buy, follow and care about Internet of Things in United States — modelled from more than twelve digital signal sources. Internet of Things has an estimated audience of 2,279,768 people in United States.
The average Internet of Things fan in United States is 40.7 years old, more male, and lives primarily in California.
The audience is concentrated in California, Texas, New York.
Top brand affinities include Hacker (term), Virtual assistant, SQL, with strongest over-indexing on Hacker (term) (36.35× the country average).
Demographically, the Internet of Things audience skews more male with an average age of 40.7, and over-indexes on personality traits such as Need for Security, Early Adopter Mentality.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Internet of Things fan in United States is more male, around 40.7 years old, with strong Need for Security tendencies and a notable affinity for Hacker (term).
The key figures that characterise the Internet of Things profile in United States.
34.6% are female, 65.4% are male, average age 40.7.
| Metric | Value |
|---|---|
| Female | 34.6% |
| Male | 65.4% |
| Average age | 40.7 |
| Estimated audience size | 2,279,768 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 18% | |
| 20-29 | 17% | |
| 30-39 | 19% | |
| 40-49 | 21% | |
| 50+ | 24% |
Where the Internet of Things audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Washington, District of Columbia | ~20K | 2.22× | |
| 02 | Virginia | ~100K | 1.79× | |
| 03 | Maryland | ~50K | 1.40× | |
| 04 | Arkansas | ~30K | 1.36× | |
| 05 | Massachusetts | ~60K | 1.33× | |
| 06 | Nebraska | ~10K | 1.27× | |
| 07 | New York | ~200K | 1.24× | |
| 08 | Pennsylvania | ~90K | 1.16× | |
| 09 | Georgia | ~80K | 1.15× | |
| 10 | Indiana | ~50K | 1.14× | |
| 11 | Washington | ~50K | 1.09× | |
| 12 | California | ~300K | 1.06× | |
| 13 | South Carolina | ~40K | 1.05× | |
| 14 | Illinois | ~80K | 1.03× | |
| 15 | Colorado | ~40K | 1.03× | |
| 16 | Hawaii | ~10K | 1.03× | |
| 17 | New Jersey | ~60K | 1.02× | |
| 18 | Oregon | ~30K | 1.02× | |
| 19 | Rhode Island | ~7K | 1.01× | |
| 20 | North Dakota | ~5K | 1.01× | |
| 21 | North Carolina | ~70K | 1.00× | |
| 22 | Alabama | ~30K | 0.99× | |
| 23 | Kansas | ~20K | 0.99× | |
| 24 | New Hampshire | ~9K | 0.98× | |
| 25 | Arizona | ~40K | 0.97× | |
| 26 | Connecticut | ~20K | 0.96× | |
| 27 | Ohio | ~70K | 0.95× | |
| 28 | Vermont | ~4K | 0.95× | |
| 29 | Texas | ~200K | 0.94× | |
| 30 | Oklahoma | ~20K | 0.94× | |
| 31 | New Mexico | ~10K | 0.94× | |
| 32 | Alaska | ~5K | 0.94× | |
| 33 | Wisconsin | ~30K | 0.93× | |
| 34 | Minnesota | ~30K | 0.92× | |
| 35 | Idaho | ~10K | 0.92× | |
| 36 | Delaware | ~6K | 0.92× | |
| 37 | Missouri | ~30K | 0.91× | |
| 38 | Mississippi | ~20K | 0.91× | |
| 39 | South Dakota | ~5K | 0.91× | |
| 40 | Iowa | ~20K | 0.90× | |
| 41 | Maine | ~7K | 0.90× | |
| 42 | Michigan | ~50K | 0.89× | |
| 43 | Tennessee | ~40K | 0.88× | |
| 44 | Utah | ~20K | 0.88× | |
| 45 | Montana | ~6K | 0.88× | |
| 46 | Florida | ~100K | 0.87× | |
| 47 | West Virginia | ~9K | 0.86× | |
| 48 | Kentucky | ~20K | 0.83× | |
| 49 | Nevada | ~20K | 0.82× | |
| 50 | Louisiana | ~20K | 0.78× |
The strongest cross-interests of the Internet of Things audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | World Intellectual Property Organization | Business & Career | 133.33× | ||
| 02 | Hacker (term) | Technology & Electronics | 36.35× | ||
| 03 | Paddle tennis | Sports | 27.71× | ||
| 04 | Virtual assistant | Technology & Electronics | 24.38× | ||
| 05 | Data mining | Technology & Electronics | 22.92× | ||
| 06 | SQL | Technology & Electronics | 17.44× | ||
| 07 | Data management | Technology & Electronics | 14.03× | ||
| 08 | MySQL | Technology & Electronics | 13.38× | ||
| 09 | Microsoft Teams | Technology & Electronics | 10.65× | ||
| 10 | Office 365 | Technology & Electronics | 10.65× | ||
| 11 | Data analysis | Technology & Electronics | 8.82× | ||
| 12 | Python (programming language) | Technology & Electronics | 8.26× | ||
| 13 | GitHub | Internet & Social Media | 7.84× | ||
| 14 | OpenAI | Technology & Electronics | 6.72× | ||
| 15 | Gemini | Technology & Electronics | 6.37× | ||
| 16 | Google Drive | Technology & Electronics | 4.52× | ||
| 17 | Cloud computing | Technology & Electronics | 4.07× | ||
| 18 | Gmail | Internet & Social Media | 3.78× | ||
| 19 | Yahoo! Finance | Business & Career | 3.78× | ||
| 20 | Google Docs | Internet & Social Media | 3.59× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Need for Security | CONSERVATISM | 5.52× | |
| Early Adopter Mentality | POWER | 3.39× | |
| Career Orientation | POWER | 3.00× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Extroversion | THRILL | 0.85× | |
| Mindfulness | BALANCE | 0.90× | |
| Creativity | OPEN | 0.98× |
Internet of Things has an estimated audience of 2,279,768 people in United States, concentrated in California and Texas.
34.6% of Internet of Things fans are female, 65.4% are male, with an average age of 40.7 years.
Internet of Things fans show strongest brand affinity for Hacker (term) (36.35×), Virtual assistant (24.38×), and SQL (17.44×) over the country average.
Internet of Things fans in United States are most concentrated in California (reach ~300K), Texas (reach ~200K), and New York (reach ~200K). These three regions account for the largest share of the active audience.
Beyond Internet of Things itself, the audience over-indexes on Virtual assistant (24.38×), SQL (17.44×), Gemini (6.37×), and Google Drive (4.52×) compared to the United States average.
Related profiles, rankings and the same audience in other markets.
Audience size is the estimated number of people in United States who actively search for Internet of Things. 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 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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