India Salary Data 2026: 49k Job Postings

Key findings

1. 49,355 Indian job postings with a stated salary from 10,015 employers, posted January 2024 to June 2026 (21,575 of them in 2026). The median posted salary is ₹6.5L a year (middle half: ₹3.5L to ₹12.0L).
2. Product & project management pays most among role families (median ₹11.0L), followed by devops & cloud (₹10.2L); customer service pays least (₹3.1L), a 3.6× gap.
3. Experience multiplies pay: the median rises from ₹3.0L for 0–1 years asked to ₹8.5L at 4–6 years and ₹17.5L at 11–15 years, about 6× the entry level.
4. The highest medians among cities with 500+ salaried postings: Bengaluru (₹7.5L), Gurugram (₹7.2L) and Pune (₹7.2L); the lowest is Kolkata (₹4.5L). Bengaluru alone carries 24% of salaried postings.
5. Software engineering is the biggest salaried role family (12,094 postings, 25%); its median is ₹7.8L, and senior software postings ask a median ₹10.0L.
6. Internships and trainee roles (2,134 postings) offer a median ₹1.5L a year (≈ ₹12,500 a month); 13% of all postings are linked to a company website.

Salary percentiles by role family and seniority (INR per year)

Groups with at least 30 salaried postings. ₹1L = ₹100,000; ₹1 Cr = ₹10,000,000. Midpoint of the posted range.

Top 50 Indian cities by salaried postings

Top 50 highest-paying job titles in India

Titles lower-cased with location suffixes removed; titles with at least 25 salaried postings from 5+ employers, ranked by median.

Salary by industry / functional category

Category as tagged on the posting, normalised into groups; postings without a category are left out of this table.

Salary by years of experience asked

Minimum years of experience stated in the posting.

Salary by role family

Salaried postings and pay by month

Collection is uneven over time (large batches in April–May 2025 and May–June 2026), so monthly counts reflect collection as well as hiring. The source mix also shifts: February–April 2026 is dominated by senior and management postings, which lifts the median for those months.

Top 50 highest-paying employers (20+ salaried postings)

Employer names as posted; staffing firms post on behalf of clients.

Column dictionary

14 columns in the sample CSV.

Method

1. Scope. Postings located in India with a title, an employer and a stated salary, published 2024-01-01 to 2026-06-30.
2. Deduplication. Postings with the same employer, normalised title and month are one posting; the copy with the most structured fields is kept.
3. Pay normalisation (INR per year). Monthly pay × 12. Figures between 1 and 60 in an annual field are lakhs per annum (× 100,000). Figures between ₹1,000 and ₹99,999 in an annual field are monthly pay (mostly internship stipends) and are multiplied by 12. A lower bound below a tenth of the upper bound (for example "0 – 10,00,000") is treated as missing, and the midpoint is then the single posted figure.
4. Absurd values dropped. Postings are dropped when the annual figure falls below ₹30,000 or above ₹2.5 crore, when an internship pays more than ₹15 lakh, when an annual figure lies between 60 and 999 (neither lakhs nor rupees), when an internship figure would only make sense as lakhs, when pay is hourly or daily in rupees, or when the currency is not INR (248 postings in all: intern pay above ceiling 80, above ceiling 63, below floor 46, currency differs from country 33, ambiguous rupee figure 24, hourly/daily rupee pay 2).
5. Overseas and spam postings removed. 482 postings for jobs abroad (a foreign country as the location or in the title, typically overseas placement offers) and 210 postings from 6 employers that advertise low-wage jobs at senior pay (for example customer service at ₹40 lakh) or scatter dozens of unrelated roles over several states at ₹15 lakh+ are dropped as job-scam patterns.
6. Labels. role_family comes from the posting when it has one, else from keyword rules on the title, else from the category. seniority comes from the title (intern, junior, senior, lead, manager, director, VP/C-level); when the title has no signal it is derived from the years asked (≤1 entry, 2–5 mid, 6–10 senior, 11+ lead). industry_category maps the free-text and coded categories into 20 groups.
7. Privacy and provenance. URLs, source names, descriptions and recruiter details are not published; posting IDs are hashes. Postings whose employer or title names a job board or data provider are dropped, and phone- or e-mail-like strings are removed from titles.

8. Company link. company_domain is filled only when the lower-cased employer name matches exactly one Indian company in Fliar's company index.

9. Sample. Each company key is ranked by sha1(key). Keys are taken in rank order until the file holds max(25%, 5,000) rows (capped at 100,000).

10. Profile links. Links are built from Fliar's company index and checked against it. A row whose company has no public profile has an empty link.

Limitations

• Only a minority of Indian postings state a salary; employers that publish pay (startups, staffing firms, mid-market companies) are over-represented and large IT services firms are under-represented.
• Posted pay is an offer range, not realised pay, and often excludes variable pay and benefits.
• Collection is uneven over time: April–May 2025 and May–June 2026 dominate, so month-to-month changes mix collection with hiring.
• Unit errors remain possible where a monthly figure looked plausible as an annual one; obvious cases were converted or dropped.
• Role families and seniority are keyword-based and can be wrong for unusual titles.
• Most employers are not linked to a website because their names match no single company in the index.

Cite this dataset

@misc{fliarbi_india_salary_benchmarks_2026_2026,
  author    = {{Fliar BI}},
  title     = {{India Salary Data 2026: 49k Job Postings}},
  year      = {2026},
  publisher = {Fliar BI},
  url       = {https://fliarbi.com/datasets/india-salary-benchmarks-2026/},
  note      = {Sample release. Licence CC BY-NC 4.0}
}