IT Support / INDICATIVE APP DATA
IT Support Analyst salary estimates in India
Compare the app's baseline ranges across experience and company types, then inspect the assumptions behind its city adjustments.
All amounts are annual INR LPA. Static estimates supplied by the app, not a survey or live job offers. No collection or freshness date is supplied. Actual compensation may fall outside these ranges.
Compare the scope, not just the title
Ask about L1 or L2 responsibilities, shift coverage, escalation ownership, device or identity administration, and incident targets. Compare shift and on-call allowances separately.
The experience labels are broad source buckets. Employers may level candidates differently, and the boundary at two years is not specified beyond the displayed labels.
Bangalore baseline ranges
Each cell shows the source minimum, median, and maximum in annual INR LPA. Company types are broad dataset groupings, not employer-specific salary claims.
0–2 yrs
| Company type | Min | Median | Max |
|---|---|---|---|
| IT Services | 2.5 | 3.5 | 5.0 |
| Startup | 3.5 | 5.0 | 7.0 |
| Unicorn | 5.0 | 7.0 | 10.0 |
| Global MNC | 6.0 | 9.0 | 14.0 |
2–5 yrs
| Company type | Min | Median | Max |
|---|---|---|---|
| IT Services | 5.0 | 7.0 | 10.0 |
| Startup | 7.0 | 10.0 | 14.0 |
| Unicorn | 10.0 | 13.0 | 18.0 |
| Global MNC | 14.0 | 19.0 | 26.0 |
5–10 yrs
| Company type | Min | Median | Max |
|---|---|---|---|
| IT Services | 10.0 | 13.0 | 18.0 |
| Startup | 14.0 | 18.0 | 24.0 |
| Unicorn | 18.0 | 22.0 | 30.0 |
| Global MNC | 26.0 | 33.0 | 44.0 |
10+ yrs
| Company type | Min | Median | Max |
|---|---|---|---|
| IT Services | 16.0 | 20.0 | 26.0 |
| Startup | 22.0 | 28.0 | 38.0 |
| Unicorn | 26.0 | 33.0 | 44.0 |
| Global MNC | 40.0 | 52.0 | 70.0 |
Modeled city median estimates
These are calculated central estimates, not observed city medians. Tables retain all company types and experience bands; use the fixed-factor methodology below to understand their limits.
0–2 yrs / annual INR LPA
| City | IT Services | Startup | Unicorn | Global MNC |
|---|---|---|---|---|
| Bangalore | 3.5 | 5.0 | 7.0 | 9.0 |
| Mumbai | 3.2 | 4.6 | 6.4 | 8.3 |
| Delhi / NCR | 3.1 | 4.4 | 6.2 | 7.9 |
| Hyderabad | 2.9 | 4.1 | 5.7 | 7.4 |
| Pune | 2.7 | 3.9 | 5.5 | 7.0 |
| Chennai | 2.7 | 3.9 | 5.5 | 7.0 |
| Kolkata | 2.3 | 3.3 | 4.6 | 5.9 |
| Remote | 3.0 | 4.3 | 6.0 | 7.7 |
2–5 yrs / annual INR LPA
| City | IT Services | Startup | Unicorn | Global MNC |
|---|---|---|---|---|
| Bangalore | 7.0 | 10.0 | 13.0 | 19.0 |
| Mumbai | 6.4 | 9.2 | 12.0 | 17.5 |
| Delhi / NCR | 6.2 | 8.8 | 11.4 | 16.7 |
| Hyderabad | 5.7 | 8.2 | 10.7 | 15.6 |
| Pune | 5.5 | 7.8 | 10.1 | 14.8 |
| Chennai | 5.5 | 7.8 | 10.1 | 14.8 |
| Kolkata | 4.6 | 6.5 | 8.5 | 12.4 |
| Remote | 6.0 | 8.5 | 11.0 | 16.2 |
5–10 yrs / annual INR LPA
| City | IT Services | Startup | Unicorn | Global MNC |
|---|---|---|---|---|
| Bangalore | 13.0 | 18.0 | 22.0 | 33.0 |
| Mumbai | 12.0 | 16.6 | 20.2 | 30.4 |
| Delhi / NCR | 11.4 | 15.8 | 19.4 | 29.0 |
| Hyderabad | 10.7 | 14.8 | 18.0 | 27.1 |
| Pune | 10.1 | 14.0 | 17.2 | 25.7 |
| Chennai | 10.1 | 14.0 | 17.2 | 25.7 |
| Kolkata | 8.5 | 11.7 | 14.3 | 21.5 |
| Remote | 11.0 | 15.3 | 18.7 | 28.1 |
10+ yrs / annual INR LPA
| City | IT Services | Startup | Unicorn | Global MNC |
|---|---|---|---|---|
| Bangalore | 20.0 | 28.0 | 33.0 | 52.0 |
| Mumbai | 18.4 | 25.8 | 30.4 | 47.8 |
| Delhi / NCR | 17.6 | 24.6 | 29.0 | 45.8 |
| Hyderabad | 16.4 | 23.0 | 27.1 | 42.6 |
| Pune | 15.6 | 21.8 | 25.7 | 40.6 |
| Chennai | 15.6 | 21.8 | 25.7 | 40.6 |
| Kolkata | 13.0 | 18.2 | 21.5 | 33.8 |
| Remote | 17.0 | 23.8 | 28.1 | 44.2 |
Methodology and known limitations
The app stores four experience bands and four company-type bands per role with Bangalore as the baseline. Its city function applies the following universal factors to minimum, median, and maximum, then rounds each result to one decimal place. No sample size, observed salary distribution, external source, or collection date is included in the dataset.
Bangalore
Baseline factor: 1.00
Mumbai
Baseline factor: 0.92
Delhi / NCR
Baseline factor: 0.88
Hyderabad
Baseline factor: 0.82
Pune
Baseline factor: 0.78
Chennai
Baseline factor: 0.78
Kolkata
Baseline factor: 0.65
Remote
Baseline factor: 0.85
Worked calculation from this role: 10.0 LPA (Bangalore, Startup, 2–5 yrs) x 0.82 (Hyderabad factor) = 8.2 LPA after rounding.
- Universal factors cannot capture company-specific location policies or remote-pay arrangements.
- The source does not distinguish fixed cash, CTC, equity, variable pay, or benefits consistently.
- Role titles and experience labels do not establish equivalent levels across employers.
- Ranges are not confidence intervals, legal pay limits, or promises of negotiation outcomes.
- No inferred update date is shown because the source does not provide one.
Questions to ask about an offer
- What is the annual fixed cash, and which items are included in CTC?
- What conditions determine variable pay or bonus eligibility?
- How is equity valued, vested, and taxed, and can it be sold?
- What level, scope, on-call work, travel, or shift duties does the package cover?
- When will compensation be reviewed, and what is written in the offer?
Tax and take-home are separate
Do not divide a benchmark by twelve and assume that is a bank credit. Deductions depend on the actual compensation structure and applicable rules. Verify the relevant financial year and official guidance before relying on a tax estimate.
A LITTLE MORE CLARITY
Frequently asked questions
Are these IT Support Analyst figures actual market survey results?
No. They are static benchmark estimates supplied by the app dataset. No survey sample, external salary citation, collection date, or update date is provided. They are indicative planning values, not verified offers or market guarantees.
What do minimum, median, and maximum mean here?
They are the three values stored in each app salary band. The source does not explain observed percentiles or sampling. The median is a supplied central estimate, and the minimum and maximum are indicative endpoints rather than limits on real offers.
How are city estimates calculated?
Each Bangalore band is multiplied by the fixed city factor shown in the methodology table, and each value is rounded to one decimal place. The same factor applies across all roles, experience bands, and company types; it is not city-specific evidence.
Are the amounts CTC or fixed salary?
The source defines annual LPA values but does not specify a consistent fixed-pay, CTC, variable-pay, or equity breakdown. Confirm the compensation basis before comparing an offer. These tables do not calculate tax or take-home pay.
BUILD YOUR NEXT OPPORTUNITY
Explore compensation scenarios thoughtfully.
The authenticated tool uses this same indicative dataset. Confirm an actual offer with the employer.