Free Β· 2026 India Data
Is your salary fair? Get an instant AI benchmark against real 2025 Indian market data.
How do I know if my salary is competitive for my role and location?
Research salaries using platforms like LinkedIn Salary, Glassdoor, AmbitionBox, and Payscale. AI-powered tools like this one provide data-backed insights on market rates by role, experience, location, and company size β without requiring you to create an account.
What factors affect salary negotiation in India?
Key factors: years of experience, specific skills in demand (GenAI, cloud, full-stack), company size (startup vs MNC), city (Bengaluru/Mumbai/Delhi/Pune typically pay more), industry (fintech, SaaS, consulting), and current CTC. Having competing offers is the strongest negotiation lever.
When is the best time to ask for a salary raise?
The best times are: during your annual appraisal cycle; when you've taken on significant new responsibilities; after a major achievement or promotion; or when you have a competing offer. Avoid asking right after company financial difficulties or layoffs.
What is a reasonable salary hike percentage in India?
Industry-standard annual increments are 8β12% for average performers, 15β20% for strong performers. Job changes (external moves) typically yield 20β40% hikes. High-demand skills or leadership roles can command even higher. Inflation (CPI ~5%) should be the floor expectation.
What is the difference between fixed and variable pay?
Fixed pay (base salary + allowances) is guaranteed every month. Variable pay (performance bonus, incentive, ESOPs) depends on individual and company performance. For midβsenior roles, variable can be 15β30% of CTC. Always ask about the variable percentage and typical payout rates when evaluating an offer.
How do I calculate my take-home salary from a CTC offer?
Approximately: Net/in-hand β CTC β Employer PF (12% of basic) β Gratuity provision (~4.8% of basic) β Variable pay component. From remaining fixed pay: deduct Employee PF (12% of basic), TDS (varies by tax regime and deductions declared), and Professional Tax. Use the Salary Slip tool for a detailed breakdown.
| Feature | Anvya AI | Glassdoor / AmbitionBox | LinkedIn Salary |
|---|---|---|---|
| AI-powered market range for India | β | β | β |
| Personalised assessment (under/at/above market) | β | β | β |
| Negotiation leverage and talking points | β | β | β |
| No account or signup needed | β | β | β |
| City-specific salary data | β | β | β |
| Next role salary range included | β | β | β |
| Free to use | β | Partial | β |
Most professionals don't know if they're underpaid. Salary data is private, compensation conversations are rare, and companies take advantage of this information imbalance. You might be leaving βΉ5β10 LPA on the table without knowing it. Your fair market salary depends on your exact role, city, years of experience, and industry. A Software Engineer in Bangalore earns very differently from one in Pune. A mid-level Product Manager's salary differs significantly from a senior PM. Our free AI Salary Intelligence benchmarks YOUR specific situation against real 2026 Indian market data from multiple sources. Enter your role, city, and years of experience and get an instant market range (minimum, median, maximum). Find out if you're underpaid or overpaid. Get specific skills to boost your compensation. Perfect for negotiating a raise, evaluating a job offer, or planning your next move.
Employees wondering if they're paid fairly; job seekers evaluating offers; professionals planning salary negotiations; career changers understanding market value in a new field; and anyone preparing for performance appraisal discussions.
Enter your job title (e.g., "Senior Software Engineer"), the city where you work (Bangalore, Mumbai, Delhi, etc.), and your years of experience. Click Check. The AI instantly benchmarks you against 2026 Indian market data and shows you: the fair salary range (minimum, median, maximum) for your profile, whether you're underpaid or overpaid compared to market, the specific gap in rupees, skills that would boost your salary, and the next career step with its salary range. Use this data to negotiate confidently or assess new job offers.
The AI uses 2025β26 market data covering major Indian cities and roles. It gives a realistic range, not a single number, accounting for city, experience level, and role type. Use it as a benchmark β actual offers vary by company and negotiation.
Mid-level (3β5 years): βΉ12β22 LPA. Senior (7+ years): βΉ25β45 LPA. Staff / Principal: βΉ40β80+ LPA. Use the tool for your specific role and experience level.
Confirm the gap with market data (this tool), then: build the top salary-boosting skills from your result, document your impact with numbers, and gather 2β3 competing offers as leverage. Appraisal cycles and new offer negotiations are your best windows.
No. Your data is used only to generate your benchmark result and is not stored, logged, or shared. Completely anonymous.
All major Indian cities β Bangalore, Mumbai, Delhi NCR, Hyderabad, Pune, Chennai, Kolkata, Ahmedabad, and smaller cities. The AI calibrates the range to city cost of living and talent market conditions.