PlainPatent
USPTO 2015–2025 USPTO PatentsView Foreign Corporation

Zhejiang University

USPTO PatentsView assignee record - 888 granted patents across 308 technology areas, active 2015–2025. Filing-trend and competitive-moat analysis cross-referenced to USPTO Patent Public Search. Primary class: G06T (IMAGE DATA PROCESSING OR GENERATION, IN GENERAL).

Explore the portfolio See the ranking
888
Total patents granted
308
CPC technology areas
8.4
Avg claims per patent
+458%
5-year filing velocity

The verdict

Zhejiang holds 888 US patents across 308 technology areas, rank #506 of 50,000 tracked assignees.

#506
of 50,000 US assignees by volume
Top 0.1%
by Innovation Score (73.5/100)
8.4
avg claims per patent
+458%
filing velocity, last 5 yrs

Portfolio overview

Zhejiang University has been granted 888 US utility patents between 2015 and 2025, placing Zhejiang University at rank #506 across all assignees tracked by PlainPatent. This portfolio spans 308 distinct Cooperative Patent Classification (CPC) subclasses, averaging 8.4 claims per patent with primary concentration in G06T (IMAGE DATA PROCESSING OR GENERATION, IN GENERAL). As a Foreign Corporation, Zhejiang University is one of the broader-portfolio assignees in the PatentsView dataset. By volume, Zhejiang sits between Nissan North America, Inc. (890 patents, rank #502) and Furukawa Electric Co., Ltd. (883 patents, rank #510) - the closest US assignees by grant volume. The composite Innovation Score of 73.5/100 blends portfolio volume, filing velocity, technology breadth, and claim depth into a single comparable measure drawn directly from USPTO PatentsView records.

Filing cadence tells the strategic story. Between 2020 and 2025 the company received 753 grants, compared with 135 in the 2015–2019 window, a +458% shift in five-year velocity. An acceleration of this magnitude signals aggressive R&D investment and expanding technical ambition. The Foreign Corporation classification further shapes interpretation, since corporate, government, and individual filers pursue patents for materially different reasons.

Claim depth and technology breadth together indicate competitive posture. Zhejiang University's 8.4 average claims per patent suggests focused, narrowly drawn claims typical of single-invention filings, while a diversified footprint across 100+ CPC subclasses spreads risk across many technology fronts. Combined with portfolio volume, these signals let analysts, investors, and licensing professionals benchmark Zhejiang University against peers pursuing similar technology classes.

Who files at Zhejiang's volume?

Granted US patents 2015–2025 versus its nearest-ranked assignees by volume, this company marked ◀

patents

What this shows Zhejiang holds 888 patents at rank #506, shown against the 8 assignees closest to it in grant volume rather than the industry's largest filers.

Source USPTO PatentsView, granted utility patents As of 2015–2025

Companies ranked near Zhejiang

By rank, the assignees closest to #506 in granted patent volume.

Leaders in G06T (Image DATA Processing OR Generation)

Other assignees with the most granted patents in Zhejiang's primary technology class.

Zhejiang's Innovation Score vs. every tracked assignee

Composite of portfolio volume, filing velocity, technology breadth, and claim depth (0–100)

73 Top 1% higher than 99% of 50,000 US assignees

0–10: 687 US assignees (1%). Below this entry. 10–20: 2,527 US assignees (5%). Below this entry. 20–30: 13,162 US assignees (26%). Below this entry. 30–40: 15,294 US assignees (31%). Below this entry. 40–50: 11,491 US assignees (23%). Below this entry. 50–60: 5,058 US assignees (10%). Below this entry. 60–70: 1,537 US assignees (3%). Below this entry. 70–80: 234 US assignees (0%). This entry sits in this band. 80–90: 10 US assignees (0%). Above this entry. 90–100: 0 US assignees (0%). Above this entry. This assignee 0 100 every tracked assignee, bucketed by value

Each bar is a band; taller bars hold more US assignees. The dashed line + filled bar mark this entry. Hover or tap any bar for its full count, share, and where it sits relative to this entry.

Source USPTO PatentsView, PlainPatent Innovation Score · 2015–2025

050100150200250 20152016201720182019202020212022202320242025 164
USPTO utility patent grants by year · 2015–2025

Grants by year

Teal-shaded recent years (2020–present) versus the 2015–2019 baseline. Full figures in the table below.

View data table
Zhejiang University patent grants by year, 2015–2025
Year Patents Granted Share of Period
2015 35 3.9%
2016 13 1.5%
2017 25 2.8%
2018 23 2.6%
2019 39 4.4%
2020 46 5.2%
2021 47 5.3%
2022 113 12.7%
2023 152 17.1%
2024 231 26.0%
2025 164 18.5%

Which technologies does Zhejiang University patent most?

Top 15 of 308 technology areas

Patent Moat Analysis

Portfolio Volume Moderate
Tech Breadth Diversified
Claim Depth Simple
Velocity Accelerating

Where it ranks

Overall rank by patents

#506

Across all tracked assignees

Innovation Score

73.5 out of 100

View all rankings →

Data Source

USPTO PatentsView, US granted patents 2015–2025

How is Innovation Score calculated?

Frequently Asked Questions

How many patents does Zhejiang University hold?
Zhejiang University holds 888 US granted patents filed between 2015 and 2025, spanning 308 technology areas.
What is Zhejiang University's Innovation Score?
Zhejiang University has an Innovation Score of 73.5 out of 100. This composite metric weighs portfolio volume (40%), filing velocity (20%), technology breadth (25%), and claim depth (15%).
What technology areas does Zhejiang University focus on?
Zhejiang University's top technology area is G06T (IMAGE DATA PROCESSING OR GENERATION, IN GENERAL) with 101 patents. The company has filed patents in 308 CPC subclasses total.
Is Zhejiang University's patent filing rate increasing or decreasing?
Zhejiang University's recent filing velocity is +458% compared to the prior five-year period. This indicates accelerating innovation.
What does claim depth mean for Zhejiang University's patents?
Zhejiang University's patents average 8.4 claims each. This is relatively simple claim structure, typical for focused inventions.
How is the Zhejiang University patent data sourced?
All patent data comes from USPTO PatentsView, a public research dataset maintained by the United States Patent and Trademark Office covering US granted utility patents from 2015 to 2025.

How to use this portfolio

Zhejiang's 888 grants land it in the top 0.1% by Innovation Score, but volume alone doesn't tell you where the strength sits.

  • Read that count against the largest US assignees before treating it as dominance - Zhejiang ranks #506 of 50,000. Top 50 holders
  • Most of this portfolio concentrates in G06T - see who else leads that technology area. G06T leaders
  • Check what the four-part Innovation Score actually rewards before comparing it to another company. How the score works

Patent counts and the Innovation Score measure patenting activity, not commercial success or the legal strength of any patent. Many patents are filed defensively. Verify the status of an individual patent against official USPTO records.

Data sourced from USPTO PatentsView - official U.S. government patent data. See our methodology for computation details. Retrieved and formatted by PlainPatent Editorial

Disclaimer: This information is provided for informational purposes only and does not constitute professional advice. Data is sourced from the USPTO PatentsView database. Consult a qualified professional before making decisions based on this data.

Read our methodology - how this data is sourced, computed, and verified.

Data sources used on this page
  • USPTO PatentsView - the disambiguated bulk patent-grant, assignee, and CPC data this page's figures are derived from. patentsview.org
  • Cooperative Patent Classification (CPC) - the joint USPTO/EPO classification scheme used to group patents by technology area. cooperativepatentclassification.org
  • USPTO Patent Public Search - the official interface to verify the status of any individual patent. ppubs.uspto.gov

Every figure on PlainPatent is rendered directly from USPTO source data, no number is typed in by an editor. This page draws directly on USPTO source data, no figure is typed in by an editor. See our editorial standards & corrections policy, the methodology behind these numbers, or report a data error. Data current as of May 2026.