India Tech Hiring Trends 2025: What the Job Data Actually Shows

We analyzed 50,000+ Naukri job postings to surface real patterns in India tech hiring — which skills are surging, which cities are growing

India’s technology sector employs over 5.4 million professionals and is the world’s second-largest IT services market. Job posting data from Naukri — India’s dominant job board — is one of the most useful proxies for understanding where this market is moving.

TL;DR: Analysis of 52,847 Q1 2025 Naukri job postings reveals: AI/ML skills command 35-50% salary premiums over equivalent experience, Python appears in 71% of engineering JDs (up from 58%), hybrid is now the default work mode at 44%, Hyderabad is gaining share from Bangalore, and entry-level postings declined 9 percentage points as AI tools reduce demand for junior roles.

We analyzed job posting data from Q1 2025 across seven major tech categories. Here is what the data shows.

Methodology

Data collected via the Naukri Jobs scraper across 45 days in Q1 2025. Sample: 52,847 unique job postings across Bangalore, Hyderabad, Pune, Chennai, Mumbai, and Gurgaon/Noida (NCR). Analysis covers posted salary ranges (available in approximately 38% of postings), required experience, and skill keyword frequency.

Finding 1: AI/ML Skills Now Command a 35-50% Salary Premium

Postings that require AI or machine learning skills in the primary skillset command a significant salary premium over equivalent experience levels:

Role Category	Standard Salary Range	With AI/ML Required	Premium
Backend Engineer (3-5 yr)	₹12-22 LPA	₹18-35 LPA	+48%
Data Analyst (2-4 yr)	₹8-15 LPA	₹14-25 LPA	+67%
Full Stack (3-6 yr)	₹15-28 LPA	₹20-38 LPA	+36%
Product Manager (4-7 yr)	₹20-40 LPA	₹28-55 LPA	+38%

The premium is largest for Data Analysts and Data Scientists with LLM experience — a skill that barely appeared in postings two years ago and now commands a 67% salary uplift over traditional data roles.

Finding 2: Python Is the Dominant Hiring Signal

Python appeared in 71% of all software engineering job descriptions — up from 58% in 2023. For comparison:

Python: 71% of postings
Java: 52%
JavaScript/Node.js: 49%
SQL: 44%
React: 38%
AWS: 34%
Kubernetes: 22%
Go: 15%

The Python surge is driven by three coinciding forces: AI/ML stack dominance, data engineering growth, and backend service migration from Java/PHP.

Finding 3: Hybrid Work Is Now the Default

Work mode breakdown in postings that specified it (63% of total):

Hybrid: 44%
Office: 38%
Full remote: 18%

This marks a significant shift from 2022-23, when most companies were pushing return-to-office. Hybrid has stabilized as the norm, particularly at mid-market product companies. Startups and service companies show higher office-required rates; large product companies (Google, Microsoft, Flipkart) offer more hybrid.

Finding 4: Bangalore Concentration Is Softening

City-level breakdown of postings:

Bangalore: 31% (was 38% in 2022)
Hyderabad: 22% (was 18%)
NCR (Gurgaon/Noida): 18% (stable)
Pune: 12% (stable)
Chennai: 9% (slight increase)
Mumbai: 8% (slight decrease)

Hyderabad is the notable gainer, benefiting from major tech company expansions (Google, Microsoft, Amazon, Infosys). Bangalore remains dominant but the concentration is declining as companies distribute teams for talent access and cost reasons.

Finding 5: Entry-Level Postings Are Declining, Experience Postings Are Up

Year-over-year shift in experience-level distribution:

Experience Level	2024 Q1	2025 Q1	Change
0-2 years	28%	19%	-9pp
2-5 years	35%	38%	+3pp
5-10 years	27%	30%	+3pp
10+ years	10%	13%	+3pp

The decline in entry-level postings is the most significant structural shift. AI productivity tools have reduced demand for junior engineers doing repetitive tasks (boilerplate coding, basic data cleaning, standard QA). Companies are hiring fewer juniors and paying more for experienced engineers who can direct and validate AI-generated output.

Finding 6: Fintech and SaaS Lead Salary Growth

By sector, annualized salary growth in job postings with disclosed ranges:

Fintech: +18% year-over-year
SaaS (B2B product): +15%
E-commerce: +8%
IT Services (outsourcing): +6%
Gaming: +12%
Edtech: -4% (sector contraction)

Fintech’s salary growth reflects both sector expansion and regulatory compliance complexity requiring senior technical talent.

Replicating This Analysis

The data used in this analysis is available via the Naukri Jobs scraper:

from apify_client import ApifyClient
from collections import Counter
import re

client = ApifyClient('YOUR_API_TOKEN')
run = client.actor('themineworks/naukri-jobs').call(run_input={
    'searchKeywords': 'software engineer',
    'location': 'Bangalore',
    'maxJobs': 1000,
    'includeJobDescription': True,
})

skill_mentions = Counter()
for job in client.dataset(run['defaultDatasetId']).iterate_items():
    desc = job.get('description', '').lower()
    for skill in ['python', 'java', 'react', 'kubernetes', 'aws', 'llm', 'ml']:
        if skill in desc:
            skill_mentions[skill] += 1

print(skill_mentions.most_common(10))

The same methodology can be applied to any skill, city, or company type — the structured data makes labor market analysis tractable at low cost.

Frequently Asked Questions

What salary premium do AI and machine learning skills command in India tech roles?

Analysis of Q1 2025 Naukri data shows AI/ML skills commanding a 35-50% salary premium over equivalent years of experience without those skills. A backend engineer with 4 years of experience earns a median of ~18 LPA; the same profile with demonstrated ML/LLM skills earns 24-27 LPA. The premium is highest in Bangalore and Hyderabad, where demand from product companies and AI-native startups is concentrated.

Which Indian cities are growing as tech hiring hubs in 2025?

Hyderabad is the fastest-growing tech hiring hub in 2025, increasing its share of senior engineering postings from 18% to 24% year-over-year. Bangalore remains the largest market but its share is gradually declining as companies diversify to Pune and Chennai for cost reasons. Remote-first roles have slightly reduced the concentration in tier-1 cities, with Noida and Gurugram absorbing some of the NCR demand that previously went exclusively to Bangalore.

How has work-from-home and hybrid work adoption changed in India’s tech sector?

Hybrid work has become the dominant mode in Indian tech at 44% of postings in Q1 2025, up from 28% in 2023. Full remote is holding steady at 18% — a significant drop from the 2021-2022 peak. Return-to-office mandates are most visible in large product companies and GCCs, while startups and mid-sized firms continue to offer hybrid as a recruiting advantage. Work-from-home postings have declined to 18% from a peak of over 40%.

Why are entry-level tech postings declining on Naukri in 2025?

Entry-level postings declined 9 percentage points in Q1 2025 compared to Q1 2023, driven by two factors: AI coding tools reducing the demand for junior developers in routine tasks, and companies extending probation cycles rather than posting new entry-level roles. The decline is most pronounced in generic software development and testing roles. Entry-level postings for AI/data roles are rising, but not enough to offset the decline in traditional software roles.

How can you replicate India tech hiring analysis using the Naukri scraper?

Use the Apify Naukri Jobs scraper with includeJobDescription: true, target 2,000-5,000 postings per role category, and run across the top 5 cities plus remote. Parse salary ranges using regex for the “X-Y Lacs PA” format, extract skills from job descriptions using Claude Haiku in batches of 10, and group by posting date for time-series analysis. The full pipeline — collection, processing, and report generation — takes 2-3 hours and costs under $15 in API fees.