Technology Hotbed · Robotics & Industrial Automation
Construction Automation
Data as of 12 Oct 2026Methodology
Momentum: ▲ Rising
Across fully-published filing years - the current year is still publishing and is left out of the signal.
156
Patents
0
Startups matched
1
Foreign filers
Startup counts are name-matched candidates, not ownership records - see methodology. Methodology
Where it clusters
Matched startups by state
| State | Startups mapped |
|---|---|
| Haryana | 1 |
See construction automation on the India map → Where its patents are filed, state by state and city by city, with companies, institutes and individual inventors apart.
Filing momentum
Filings by year - recent years still publishing
| Year | Filings | Foreign |
|---|---|---|
| 2022 | 16 | 0 |
| 2023 | 37 | 1 |
| 2024 | 75 | 0 |
| 2025 | 26 | 0 |
Patents publish ~18 months after they're filed, so the current year is always incomplete. The Rising / Steady / Cooling signal ignores it and compares only fully-published years - read a dip in the latest year as data still coming in, not a decline.
Who's filing
Indian companies lead - institutes & foreign kept separate
- CHANDIGARH UNIVERSITY TECHNOLOGY BUSINESS INCUBATORIN · 9
- BAHRA UNIVERSITYIN · 2
- DANISH YUNUS SAYEDIN · 1
- DR ANSARI UBAID SIN · 1
- DR HEMRAJ R KUMAVATIN · 1
- JITENDRA N VYASIN · 1
Educational institutes (6) - ranked by grant rate (share of filings granted, sample-adjusted), not filing volume
Foreign filers (1)
Top inventors in this technology
The most prolific inventors filing in this technology, each linking to their full patent history.
Briefings on this technology
tech brief
India Has 5,865 Industrial Automation Startups. The Machines Still Come From China.
India's largest deep-tech cohort builds warehouse robots and predictive-maintenance AI. Its $19.5B machinery import bill is compressors, gears and embroidery machines: 90%+ Chinese, 7.9% tariff.
tech brief
Construction Automation in India: Where Robotics Meets the Jobsite
From wall plastering to rebar tying, Indian innovators are automating the most labor-intensive tasks on construction sites. The opportunity lies not in replacing workers, but in solving precision and