A data profile of the people who buy, follow and care about Software engineering in India — modelled from more than twelve digital signal sources. Software engineering has an estimated audience of 5,875,032 people in India.
The average Software engineering fan in India is 30.9 years old, more male, and lives primarily in Maharashtra.
The audience is concentrated in Maharashtra, Uttar Pradesh, Karnataka.
Top brand affinities include Information technology, Harry Potter, Programming language, with strongest over-indexing on Information technology (2.39× the country average).
Demographically, the Software engineering audience skews more male with an average age of 30.9, and over-indexes on personality traits such as Need for Security, Career Orientation.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 29 regions tracked by Rascasse.
The typical Software engineering fan in India is more male, around 30.9 years old, with strong Need for Security tendencies and a notable affinity for Information technology.
The key figures that characterise the Software engineering profile in India.
27.3% are female, 72.7% are male, average age 30.9.
| Metric | Value |
|---|---|
| Female | 27.3% |
| Male | 72.7% |
| Average age | 30.9 |
| Estimated audience size | 5,875,032 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 38% | |
| 20-29 | 30% | |
| 30-39 | 16% | |
| 40-49 | 10% | |
| 50+ | 7% |
of the worldwide Software engineering audience comes from India.
| Country | Share |
|---|---|
| United States | 15.0% |
| India | 6.8% |
| Germany | 4.8% |
Where the Software engineering audience in India is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Andhra Pradesh | ~100K | 1.79× | |
| 02 | Telangana | ~100K | 1.56× | |
| 03 | Maharashtra | ~400K | 1.49× | |
| 04 | Karnataka | ~200K | 1.46× | |
| 05 | Madhya Pradesh | ~200K | 1.44× | |
| 06 | Tamil Nadu | ~200K | 1.37× | |
| 07 | Uttar Pradesh | ~400K | 1.24× | |
| 08 | Odisha | ~80K | 1.20× | |
| 09 | Jharkhand | ~60K | 1.14× | |
| 10 | Bihar | ~100K | 1.11× | |
| 11 | Punjab (region) | ~90K | 1.11× | |
| 12 | Gujarat | ~200K | 1.08× | |
| 13 | Uttarakhand | ~30K | 1.08× | |
| 14 | Kerala | ~90K | 1.04× | |
| 15 | Himachal Pradesh | ~20K | 0.97× | |
| 16 | Haryana | ~70K | 0.94× | |
| 17 | Chhattisgarh | ~40K | 0.94× | |
| 18 | West Bengal | ~200K | 0.92× | |
| 19 | Rajasthan | ~100K | 0.92× | |
| 20 | Sikkim | ~2K | 0.86× | |
| 21 | Goa | ~5K | 0.84× | |
| 22 | Manipur | ~6K | 0.79× | |
| 23 | Nagaland | ~3K | 0.79× | |
| 24 | Arunachal Pradesh | ~3K | 0.79× | |
| 25 | Tripura | ~6K | 0.78× | |
| 26 | Mizoram | ~3K | 0.77× | |
| 27 | Assam | ~40K | 0.75× | |
| 28 | Meghalaya | ~4K | 0.73× | |
| 29 | Jammu and Kashmir | ~20K | 0.70× |
The strongest cross-interests of the Software engineering audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | GitHub | Internet & Social Media | 3.66× | ||
| 02 | PHP | Technology & Electronics | 3.66× | ||
| 03 | Node.js | Technology & Electronics | 3.62× | ||
| 04 | JavaScript | Technology & Electronics | 3.58× | ||
| 05 | Programming language | Technology & Electronics | 3.54× | ||
| 06 | Python (programming language) | Technology & Electronics | 3.45× | ||
| 07 | C++ | Technology & Electronics | 3.39× | ||
| 08 | Software development | Business & Career | 3.31× | ||
| 09 | Computer engineering | Business & Career | 3.31× | ||
| 10 | Computer programming | Technology & Electronics | 3.29× | ||
| 11 | Linux | Technology & Electronics | 2.90× | ||
| 12 | Information technology | Business & Career | 2.39× | ||
| 13 | Web development | Business & Career | 2.20× | ||
| 14 | Harry Potter | Movies & TV | 1.73× | ||
| 15 | Weather Report | Music & Radio | 1.68× | ||
| 16 | Gemini | Technology & Electronics | 1.63× | ||
| 17 | Artificial intelligence | Technology & Electronics | 1.60× | ||
| 18 | Cloud computing | Technology & Electronics | 1.59× | ||
| 19 | Software | Technology & Electronics | 1.52× | ||
| 20 | hotstar | Movies & TV | 1.50× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Need for Security | CONSERVATISM | 1.51× | |
| Career Orientation | POWER | 1.26× | |
| Early Adopter Mentality | POWER | 1.16× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Extroversion | THRILL | 0.85× | |
| Tradition | CONSERVATISM | 0.88× | |
| Price Sensitivity | PREMIUM | 0.90× |
Software engineering has an estimated audience of 5,875,032 people in India, concentrated in Maharashtra and Uttar Pradesh.
27.3% of Software engineering fans are female, 72.7% are male, with an average age of 30.9 years.
Software engineering fans show strongest brand affinity for Information technology (2.39×), Harry Potter (1.73×), and Programming language (3.54×) over the country average.
Software engineering fans in India are most concentrated in Maharashtra (reach ~400K), Uttar Pradesh (reach ~400K), and Karnataka (reach ~200K). These three regions account for the largest share of the active audience.
Beyond Software engineering itself, the audience over-indexes on Harry Potter (1.73×), Programming language (3.54×), Software (1.52×), and GitHub (3.66×) 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 Software engineering. 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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