IIT, NIT, IIIT Placement Records
💼 2026 StatsLatest placement data with highest packages, average salaries & top recruiters.
How to Read Placement Data Correctly
Placement figures published by colleges and aggregated by third-party sources like this page are useful directional indicators, but they need to be read with some care. The "average package" at any institute is typically pulled upward by a small number of extremely high offers from a handful of elite recruiters — meaning the median (middle) package that a typical student actually receives is often meaningfully lower than the headline average. Similarly, "highest package" figures apply to one or two students out of an entire graduating batch and should never be treated as a realistic expectation.
Placement percentage is also calculated only among students who register for the placement process in a given year — a portion of any batch, especially at top IITs, opts out to pursue higher studies abroad, prepare for civil services, join family businesses, or take up entrepreneurial ventures, and these students are excluded from the placement percentage denominator. This is standard practice across Indian engineering institutes and is part of why placement rates at premier colleges often look impressively high.
Placement outcomes also vary considerably by branch, batch year, and macroeconomic hiring conditions in the tech and finance sectors — a strong year for tech hiring can meaningfully lift average packages, while a slowdown (as has periodically affected global tech recruitment) can compress them. For the most accurate and current picture, always cross-reference these figures with the official placement reports published by each institute's Training and Placement Cell, which typically break down data year by year and branch by branch.
IIT Placement Records
View All IITsIIT Bombay
Top Recruiters:
Google, Microsoft, Goldman Sachs
IIT Delhi
Top Recruiters:
Facebook, Amazon, McKinsey
IIT Madras
Top Recruiters:
Apple, Uber, Bajaj
IIT Kanpur
Top Recruiters:
Oracle, Adobe, Tata
NIT Placement Records
View All NITsNIT Trichy
Top Recruiters:
Zomato, Deloitte, L&T
NIT Surathkal
Top Recruiters:
Infosys, Wipro, TCS
NIT Warangal
Top Recruiters:
Amazon, Samsung, HP
NIT Rourkela
Top Recruiters:
Flipkart, Mahindra, DRDO
IIIT Placement Records
View All IIITsIIIT Hyderabad
Top Recruiters:
Google, Microsoft, DE Shaw
IIIT Delhi
Top Recruiters:
Adobe, Bain, Uber
IIIT Allahabad
Top Recruiters:
TCS, Infosys, HCL
Top Recruiters 2026
₹50 LPA - ₹3.5 Cr
Microsoft
₹40 LPA - ₹2.5 Cr
Amazon
₹30 LPA - ₹2 Cr
Goldman Sachs
₹35 LPA - ₹1.5 Cr
Adobe
₹30 LPA - ₹1.2 Cr
McKinsey
₹25 LPA - ₹1 Cr
Oracle
₹20 LPA - ₹80 LPA
Apple
₹40 LPA - ₹2 Cr
Branch-wise Placement Trends
| Branch | Average Package | Highest Package | Demand |
|---|---|---|---|
| Computer Science (CSE) | ₹25-50 LPA | ₹3.5 Cr | Very High |
| Electronics (ECE) | ₹15-35 LPA | ₹2 Cr | High |
| Electrical (EE) | ₹12-30 LPA | ₹1.5 Cr | High |
| Mechanical | ₹10-28 LPA | ₹1 Cr | Medium |
| Civil Engineering | ₹8-25 LPA | ₹80 LPA | Medium |
Placement Trends Analysis 2024-2026
Tech Sector
Hiring slowed in 2024-25 due to global factors
Expected recovery in 2026
Core Engineering
Steady demand in manufacturing, infrastructure
Growing 8-10% annually
Startups & Unicorns
Selective hiring, competitive packages
Focus on top talent
Key Insight: Despite global tech slowdown, IITs have maintained strong placement records with 85-95% placement rates. Average packages have grown 8-12% YoY, with premium offers (₹1Cr+) increasing for top performers.
Placement Statistics by Branch (2025)
Computer Science
Google, Microsoft, Amazon
Electronics (ECE)
Samsung, Qualcomm, Intel
Electrical (EE)
ABB, Siemens, BHEL
Mechanical
Tesla, L&T, Tata Motors
Civil Engineering
L&T, DLF, PSU
Chemical Engineering
Reliance, Dow, BASF
Sector-wise Recruitment Breakdown
| Sector | Avg Package (IITs) | Avg Package (NITs) | Trend |
|---|---|---|---|
| Software/IT | ₹30-50 LPA | ₹12-20 LPA | Stable |
| Product Companies | ₹40-70 LPA | ₹15-25 LPA | Growing |
| Finance/Banking | ₹25-40 LPA | ₹10-18 LPA | Stable |
| Consulting | ₹20-35 LPA | ₹8-15 LPA | Growing |
| Core Engineering | ₹15-25 LPA | ₹6-12 LPA | Stable |
| Analytics/Data Science | ₹25-45 LPA | ₹12-20 LPA | High Growth |
International Opportunities
Top International Destinations
- USA: Silicon Valley companies - ₹1-3.5 Cr packages
- Europe: UK, Germany, Netherlands - ₹50-80 LPA
- Singapore: Tech hubs - ₹40-70 LPA
- Japan: Automotive, electronics - ₹30-50 LPA
How to Get International Placements
- Strong GPA (8.5+ CGPA preferred)
- Relevant internships and projects
- Research publications (for R&D roles)
- Strong coding skills (LeetCode, Codeforces)
- Good communication skills
Using Placement Records in Your College Decision
Rather than chasing the single highest-average-package institute, it's usually more productive to look at branch-specific outcomes at the colleges you're realistically likely to get into given your rank. A Computer Science seat at a well-regarded NIT will often out-place a less popular branch at a higher-ranked IIT — branch choice frequently matters as much as, or more than, the overall institute brand when it comes to your actual placement outcome.
It's also worth tracking the trend over the last 3-4 years rather than a single year's numbers, since placement outcomes can fluctuate with macroeconomic conditions, hiring freezes at large tech companies, and shifts in which sectors are actively recruiting. An institute with steadily improving placement percentages and diversifying recruiter base over several years is generally a safer long-term bet than one with a single standout year followed by a decline.
Finally, remember that your own preparation — coding practice, internships, projects, and communication skills — plays a substantial role in individual placement outcomes regardless of which institute you attend. Institute-level statistics describe averages across hundreds of students; your personal outcome depends heavily on the effort and skill-building you put in during your four years.



Know which college you can get
Predict IITs, NITs, IIITs & GFTIs · 135+ institutes · JoSAA 2026 data
