GCC Trends 2025

India GCC Talent Report 2025: Salaries, Demand & Emerging Roles

WeHireIn Research Team · Talent IntelligenceMarch 202512 min read

Our annual salary benchmarking study across 18 industries and 6 cities. Includes AI/ML demand surge, non-tech function growth, and tier-2 city trends.

India's GCC ecosystem crossed the 1,700-centre milestone in 2024, with headcount growing 18% year-on-year — the fastest expansion in the sector's history. This report synthesises primary salary data from 12,000+ placements WeHireIn made in 2024 across 18 industries and 6 cities.

Key Findings

  • Software engineering CTC in Bangalore rose 14% YoY, crossing ₹28L median at senior level
  • AI/ML roles saw the steepest demand spike — 3.4× more mandates in 2024 vs 2022
  • Non-tech GCC hiring (Finance, Legal, HR) grew 40% — outpacing tech hiring for the first time
  • Hyderabad emerged as the #1 city for pharma and healthcare GCC hiring
  • Tier-2 cities (Kochi, Ahmedabad, Coimbatore) contributed 12% of total GCC placements

Engineering Salary Benchmarks by City

RoleBangaloreHyderabadPuneGurugram
Senior SWE (6–9 yrs)₹28–38L₹24–34L₹22–30L₹26–36L
Staff Engineer₹45–65L₹38–55L₹35–50L₹42–60L
Senior Data Scientist₹30–42L₹26–38L₹24–34L₹28–40L
ML Engineer (LLM)₹38–55L₹32–48L₹30–44L₹36–52L
VP Engineering₹80–140L₹70–120L₹65–110L₹75–130L

Key Insight

The salary premium for GCC roles in Bangalore vs Hyderabad has narrowed from 18% in 2022 to 11% in 2024, as Hyderabad's talent depth improves. Companies should reassess their location strategy.

The Non-Tech Surge

The most significant structural shift in 2024 was the acceleration of non-tech GCC hiring. Finance & Accounting roles grew 45%, Legal & Compliance grew 38%, and HR Operations grew 52% in mandate volume. This reflects the maturation of GCCs from IT-only cost centers to full-function capability hubs.

AI/ML Talent: Supply Still Lagging Demand

Despite India producing 1.5M+ STEM graduates annually, AI/ML specialist supply remains tight. Our data shows an average time-to-hire of 68 days for senior ML engineers — compared to 38 days for backend software engineers. Companies need to build proactive pipelines, not reactive searches.

WR
WeHireIn Research Team
Talent Intelligence

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