A data profile of the people who buy, follow and care about Big data in India — modelled from more than twelve digital signal sources. Big data has an estimated audience of 4,094,788 people in India.
The average Big data fan in India is 27.8 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, Bollywood movies, with strongest over-indexing on Harry Potter (2.29× the country average).
Demographically, the Big data audience skews more male with an average age of 27.8, 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 29 regions tracked by Rascasse.
The typical Big data fan in India is more male, around 27.8 years old, with strong Need for Security tendencies and a notable affinity for Harry Potter.
The key figures that characterise the Big data profile in India.
29.8% are female, 70.2% are male, average age 27.8.
| Metric | Value |
|---|---|
| Female | 29.8% |
| Male | 70.2% |
| Average age | 27.8 |
| Estimated audience size | 4,094,788 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 50% | |
| 20-29 | 27% | |
| 30-39 | 11% | |
| 40-49 | 6% | |
| 50+ | 5% |
of the worldwide Big data audience comes from India.
| Country | Share |
|---|---|
| United States | 20.1% |
| India | 9.5% |
| Japan | 4.6% |
Where the Big data audience in India is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Tamil Nadu | ~300K | 2.78× | |
| 02 | Telangana | ~100K | 2.01× | |
| 03 | Andhra Pradesh | ~90K | 1.89× | |
| 04 | Karnataka | ~200K | 1.84× | |
| 05 | Maharashtra | ~400K | 1.78× | |
| 06 | Madhya Pradesh | ~100K | 1.62× | |
| 07 | Punjab (region) | ~70K | 1.30× | |
| 08 | Haryana | ~60K | 1.22× | |
| 09 | Uttarakhand | ~20K | 1.19× | |
| 10 | Jammu and Kashmir | ~20K | 1.17× | |
| 11 | Uttar Pradesh | ~200K | 1.01× | |
| 12 | Kerala | ~60K | 1.01× | |
| 13 | Sikkim | ~2K | 0.97× | |
| 14 | Mizoram | ~3K | 0.94× | |
| 15 | Arunachal Pradesh | ~2K | 0.94× | |
| 16 | Nagaland | ~3K | 0.93× | |
| 17 | Manipur | ~5K | 0.91× | |
| 18 | Meghalaya | ~4K | 0.91× | |
| 19 | Goa | ~4K | 0.90× | |
| 20 | Odisha | ~40K | 0.86× | |
| 21 | Chhattisgarh | ~20K | 0.86× | |
| 22 | Tripura | ~5K | 0.85× | |
| 23 | Himachal Pradesh | ~10K | 0.82× | |
| 24 | Jharkhand | ~30K | 0.79× | |
| 25 | Rajasthan | ~70K | 0.72× | |
| 26 | Gujarat | ~80K | 0.69× | |
| 27 | West Bengal | ~90K | 0.67× | |
| 28 | Assam | ~30K | 0.63× | |
| 29 | Bihar | ~50K | 0.61× |
The strongest cross-interests of the Big data audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Business analytics | Technology & Electronics | 3.94× | ||
| 02 | PHP | Technology & Electronics | 3.89× | ||
| 03 | GitHub | Internet & Social Media | 3.67× | ||
| 04 | Data analysis | Technology & Electronics | 3.66× | ||
| 05 | Python (programming language) | Technology & Electronics | 3.65× | ||
| 06 | JavaScript | Technology & Electronics | 3.53× | ||
| 07 | Programming language | Technology & Electronics | 3.37× | ||
| 08 | Machine learning | Business & Career | 3.15× | ||
| 09 | Linux | Technology & Electronics | 3.04× | ||
| 10 | Computer programming | Technology & Electronics | 3.02× | ||
| 11 | Software engineering | Business & Career | 2.76× | ||
| 12 | Harry Potter | Movies & TV | 2.29× | ||
| 13 | Information technology | Business & Career | 2.28× | ||
| 14 | Web development | Business & Career | 2.26× | ||
| 15 | hotstar | Movies & TV | 1.98× | ||
| 16 | Artificial intelligence | Technology & Electronics | 1.97× | ||
| 17 | Gemini | Technology & Electronics | 1.77× | ||
| 18 | Software | Technology & Electronics | 1.62× | ||
| 19 | XXXTentacion | Music & Radio | 1.57× | ||
| 20 | Bollywood movies | Movies & TV | 1.56× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Need for Security | CONSERVATISM | 1.50× | |
| Early Adopter Mentality | POWER | 1.35× | |
| Healthy Lifestyle | BALANCE | 1.34× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Extroversion | THRILL | 0.80× | |
| Price Sensitivity | PREMIUM | 0.87× | |
| Creativity | OPEN | 0.92× |
Big data has an estimated audience of 4,094,788 people in India, concentrated in Maharashtra and Tamil Nadu.
29.8% of Big data fans are female, 70.2% are male, with an average age of 27.8 years.
Big data fans show strongest brand affinity for Harry Potter (2.29×), XXXTentacion (1.57×), and Bollywood movies (1.56×) over the country average.
Big data 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 Big data itself, the audience over-indexes on XXXTentacion (1.57×), Bollywood movies (1.56×), Software (1.62×), and Information technology (2.28×) 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 Big data. 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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