A data profile of the people who buy, follow and care about Machine learning in India — modelled from more than twelve digital signal sources. Machine learning has an estimated audience of 5,205,049 people in India.
The average Machine learning fan in India is 29.5 years old, more male, and lives primarily in Maharashtra.
The audience is concentrated in Maharashtra, Tamil Nadu, Uttar Pradesh.
Top brand affinities include Harry Potter, XXXTentacion, hotstar, with strongest over-indexing on Harry Potter (2.51× the country average).
Demographically, the Machine learning audience skews more male with an average age of 29.5, and over-indexes on personality traits such as Early Adopter Mentality, Healthy Lifestyle.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 29 regions tracked by Rascasse.
The typical Machine learning fan in India is more male, around 29.5 years old, with strong Early Adopter Mentality tendencies and a notable affinity for Harry Potter.
The key figures that characterise the Machine learning profile in India.
31.3% are female, 68.7% are male, average age 29.5.
| Metric | Value |
|---|---|
| Female | 31.3% |
| Male | 68.7% |
| Average age | 29.5 |
| Estimated audience size | 5,205,049 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 43% | |
| 20-29 | 30% | |
| 30-39 | 13% | |
| 40-49 | 8% | |
| 50+ | 7% |
of the worldwide Machine learning audience comes from India.
| Country | Share |
|---|---|
| United States | 17.4% |
| India | 11.1% |
| China | 4.5% |
Where the Machine learning audience in India is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Andhra Pradesh | ~200K | 2.98× | |
| 02 | Tamil Nadu | ~300K | 2.64× | |
| 03 | Telangana | ~200K | 2.24× | |
| 04 | Karnataka | ~200K | 1.76× | |
| 05 | Maharashtra | ~400K | 1.42× | |
| 06 | Madhya Pradesh | ~100K | 1.32× | |
| 07 | Uttarakhand | ~30K | 1.26× | |
| 08 | Punjab (region) | ~80K | 1.16× | |
| 09 | Kerala | ~90K | 1.10× | |
| 10 | Haryana | ~70K | 0.98× | |
| 11 | Gujarat | ~100K | 0.94× | |
| 12 | Odisha | ~50K | 0.94× | |
| 13 | Uttar Pradesh | ~200K | 0.93× | |
| 14 | Himachal Pradesh | ~20K | 0.91× | |
| 15 | Chhattisgarh | ~30K | 0.87× | |
| 16 | Sikkim | ~2K | 0.87× | |
| 17 | West Bengal | ~100K | 0.85× | |
| 18 | Mizoram | ~3K | 0.77× | |
| 19 | Arunachal Pradesh | ~2K | 0.77× | |
| 20 | Goa | ~4K | 0.75× | |
| 21 | Nagaland | ~3K | 0.75× | |
| 22 | Jharkhand | ~30K | 0.74× | |
| 23 | Manipur | ~5K | 0.72× | |
| 24 | Rajasthan | ~80K | 0.69× | |
| 25 | Meghalaya | ~4K | 0.68× | |
| 26 | Tripura | ~5K | 0.65× | |
| 27 | Jammu and Kashmir | ~20K | 0.63× | |
| 28 | Assam | ~30K | 0.51× | |
| 29 | Bihar | ~50K | 0.50× |
The strongest cross-interests of the Machine learning audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Big data | Business & Career | 3.20× | ||
| 02 | Data analysis | Technology & Electronics | 2.93× | ||
| 03 | Programming language | Technology & Electronics | 2.75× | ||
| 04 | Computer programming | Technology & Electronics | 2.52× | ||
| 05 | Harry Potter | Movies & TV | 2.51× | ||
| 06 | K (anime) | Literature | 2.45× | ||
| 07 | BTS | Music & Radio | 2.39× | ||
| 08 | ONEUS | Music & Radio | 2.28× | ||
| 09 | hotstar | Movies & TV | 2.22× | ||
| 10 | Artificial intelligence | Technology & Electronics | 2.03× | ||
| 11 | Information technology | Business & Career | 1.93× | ||
| 12 | Web development | Business & Career | 1.91× | ||
| 13 | Sunrisers Hyderabad | Sports | 1.74× | ||
| 14 | Gemini | Technology & Electronics | 1.73× | ||
| 15 | XXXTentacion | Music & Radio | 1.72× | ||
| 16 | Zomato | Food & Beverages | 1.69× | ||
| 17 | Tamil language | Politics & Society | 1.58× | ||
| 18 | Indo-Aryan languages | Politics & Society | 1.58× | ||
| 19 | Game of Thrones | Movies & TV | 1.51× | ||
| 20 | Colors (TV channel) | Movies & TV | 1.51× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Early Adopter Mentality | POWER | 1.40× | |
| Healthy Lifestyle | BALANCE | 1.39× | |
| Urban Lifestyle | OPEN | 1.34× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Extroversion | THRILL | 0.83× | |
| Price Sensitivity | PREMIUM | 0.91× | |
| Community Orientation | OPEN | 0.92× |
Machine learning has an estimated audience of 5,205,049 people in India, concentrated in Maharashtra and Tamil Nadu.
31.3% of Machine learning fans are female, 68.7% are male, with an average age of 29.5 years.
Machine learning fans show strongest brand affinity for Harry Potter (2.51×), XXXTentacion (1.72×), and hotstar (2.22×) over the country average.
Machine learning fans in India are most concentrated in Maharashtra (reach ~400K), Tamil Nadu (reach ~300K), and Uttar Pradesh (reach ~200K). These three regions account for the largest share of the active audience.
Beyond Machine learning itself, the audience over-indexes on XXXTentacion (1.72×), hotstar (2.22×), Gemini (1.73×), and Artificial intelligence (2.03×) compared to the India average.
Related profiles, rankings and the same audience in other markets.
Audience size is the estimated number of people in India 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.
This audience profile is generated by Rascasse from anonymized search-behavior signals across India. 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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