Where does Carnegie Mellon University rank among US patent assignees?

According to USPTO PatentsView (2015–2025 granted utility patents), Carnegie Mellon University ranks #777 of 49,997 assignees by granted-patent volume, the same sort as the companies listing and top-holders ranking. See /methodology/#corpus-placement.

How many patents does Carnegie Mellon University hold?

Carnegie Mellon University holds 589 US utility patents granted between 2015 and 2025, spanning 207 technology areas.

What is Carnegie Mellon University's Innovation Score?

Carnegie Mellon University has an Innovation Score of 67.7 out of 100 (top 1% of the corpus). This composite metric weighs portfolio volume (40%), grant velocity (20%), technology breadth (25%), and claim depth (15%).

What technology areas does Carnegie Mellon University focus on?

Carnegie Mellon University's top technology area is G06F (Electric Digital Data Processing) with 119 patents, ranking #467 of 13,878 assignees active in that subclass. Grants appear in 207 CPC subclasses total.

Is Carnegie Mellon University's patent grant rate increasing or decreasing?

Carnegie Mellon University's recent grant velocity is +15% compared to the prior five-year period (grant years, not application filing dates). The company is maintaining or growing its granted-patent output.

What does claim depth mean for Carnegie Mellon University's patents?

Carnegie Mellon University's patents average 19.6 claims each. This is an aggregate descriptive count from the grant record; it does not establish claim scope, legal strength, enforceability, or design-around risk.

How is the Carnegie Mellon 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.

USPTO 2015–2025 USPTO PatentsView US Corporation

Carnegie Mellon University

USPTO PatentsView assignee record - 589 granted patents across 207 technology areas, recorded in grant years 2015–2025. Grant-trend analysis is cross-referenced to USPTO Patent Public Search; it does not measure application filings, current R&D, or legal strength. Primary class: G06F (Electric Digital Data Processing).

Compiled by PlainPatent · May 15, 2026

RSS updates for this company

Explore the portfolio See the ranking

The verdict

According to USPTO PatentsView, Carnegie ranks #777 of 49,997 tracked US assignees by granted-patent volume, with 589 patents across 207 technology areas.

#777
of 49,997 US assignees by volume: Top 1%
by Innovation Score (67.7/100): 19.6
avg claims per patent: +15%
grant velocity, last 5 yrs

USPTO PatentsView assignee plate

Corpus R777 · US Corporation #777 · 589 grants

GRANTS-MID · TOP-DECILE · PHOTO-FINISH · CPC-BROAD · INNOV-STRONG · CLAIMS-RICH · TYPE-USCORP · VEL-UP · BOOK-FULL

GRANTS-MID 589 grants
TOP-DECILE #777/49,997
PHOTO-FINISH Showa Denko K K
CPC-BROAD G06F · 207 areas
INNOV-STRONG 67.7/100
CLAIMS-RICH 19.6 claims/avg
TYPE-USCORP US Corporation
VEL-UP +15% vel
BOOK-FULL 10/10 fields

Nearest grant-volume peer: Showa Denko K.K. (±0 grants)

Instrument codes from this assignee’s USPTO PatentsView grant sheet: volume band, corpus rank, photo-finish peer, lead CPC, Innovation Score, claim depth, assignee type, velocity, and book completeness. Not a USPTO rating of patent strength.

How Carnegie’s 67.7 Innovation Score adds up

The same four weighted components behind every Innovation Score on PlainPatent: portfolio volume, grant velocity, technology breadth, and claim depth.

Volume 22.0 pts (33%) Velocity 8.9 pts (13%) Breadth 25.0 pts (37%) Claim depth 11.7 pts (17%)

Qualcomm Incorporated · highest

85
Carnegie Mellon… · this assignee

68
Warsaw Orthopedic · near

68
Chevron Phillips… · near

68
Allegro MicroSystems · near

68
Infineon Austria · near

68
3D Lighting… · lowest

7

What this shows Carnegie's Innovation Score is 67.7/100 (top 1% of the PatentsView-derived corpus). The chart places that score against the nearest Innovation Score peers plus corpus poles, not a reprint of the volume ranking.

Does more volume mean deeper claims for Carnegie?

Each dot is one of Carnegie’s 8 nearest volume peers (same corpus rank neighbourhood as the chart above), placed by total granted patents (horizontal) against average claims per patent (vertical). Carnegie’s own 19.6 claims/patent is ABOVE the 13.6 median for these volume peers. More thorough claims than most filers at this scale, not just more of them.

Carnegie vs its 8 nearest volume peers: granted patents vs average claims per patent. Source: USPTO PatentsView.

How Carnegie's grant cadence moved

Between 2020–2024, Carnegie Mellon University received 284 grants versus 248 in 2015–2019 (+15% equal-window velocity, above median growth). Across complete PatentsView years, output peaked in 2024 at 71 grants and bottomed in 2015 at 39. Lead class G06F accounts for 20.2% of the portfolio across 207 subclasses. Volume neighbours: Schott AG (#773) and Kokusai Electric Corporation (#781).

Carnegie's three-year grant acceleration

From 2019–2021 to 2022–2024, Carnegie Mellon University moved from 144 to 192 grants (1.33x the prior three-year total, a multiple, not a CAGR). Among 3,296 tracked assignees with ≥100 grants and ≥20 prior-period grants, that multiple ranks #601. See the growth leaderboard.

Schott

594
Washington Univer…

594
Open Text

591
Baxter Healthcare

590
Showa Denko K K

589
Tohoku University

589
Carnegie Mellon U… ◀

589
Kyoto University

588
Kokusai Electric

587

What this shows Carnegie holds 589 patents at rank #777, shown against the 8 assignees closest to it in grant volume rather than the industry's largest filers.

Companies ranked near Carnegie

By rank, the assignees closest to #777 in granted patent volume.

Leaders in G06F (Electric Digital Data Processing)

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

Assignees with similar portfolio profiles

Two PlainPatent-derived peer sets for Carnegie, neither rank-band nor same-CPC leaders (those blocks stay above). In G06F (Electric Digital Data Processing), Carnegie ranks #467 of 13,878 assignees by patent count in that subclass.

Similar innovation score

Nearest assignees by Innovation Score (68 here).

Warsaw Orthopedic, Inc. 68 Chevron Phillips Chemical Company LP 68 Allegro MicroSystems, LLC 68 Infineon Technologies Austria AG 68

Similar claim depth

Nearest assignees by average claims per patent (19.6 here).

Amazon Technologies, Inc. 19.6 avg Biogen MA Inc. 19.6 avg Aviat U.S., Inc. 19.6 avg Entropic Communications, LLC 19.6 avg

Carnegie's Innovation Score vs. every tracked assignee

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

68 Top 1% higher than 99% of 49,997 US assignees

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

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

Carnegie Mellon University patent grants by year, 2015–2025
Year	Patents Granted	Share of Period
2015	39	6.6%
2016	41	7.0%
2017	51	8.7%
2018	65	11.0%
2019	52	8.8%
2020	46	7.8%
2021	46	7.8%
2022	58	9.8%
2023	63	10.7%
2024	71	12.1%
2025partial year	57	9.7%

Which technologies does Carnegie Mellon University patent most?

G06F - Electric Digital Data Processing 119

G06T - Image Data Processing OR Generation, IN General 81

G06V - Image OR Video Recognition OR Understanding 79

G06N - Computing Arrangements Based ON Specific Computational Models 61

A61B - DIAGNOSIS; SURGERY; Identification 61

G01N - Investigating OR Analysing Materials BY Determining Their Chemical OR Physical Properties 40

A61K - Preparations FOR Medical, Dental OR Toiletry Purposes 40

H04N - Pictorial Communication, e.g. Television 37

H04L - Transmission OF Digital Information, e.g. Telegraphic Communication 29

B29C - Shaping OR Joining OF PLASTICS; Shaping OF Material IN A Plastic State, NOT Otherwise Provided FOR; After-treatment OF THE Shaped Products, e.g. Repairing 29

C07K - Peptides 26

Y10T - Technical Subjects Covered BY Former US Classification 24

A61L - Methods OR Apparatus FOR Sterilising Materials OR Objects IN GENERAL; Disinfection, Sterilisation OR Deodorisation OF AIR; Chemical Aspects OF Bandages, Dressings, Absorbent Pads OR Surgical ARTICLES; Materials FOR Bandages, Dressings, Absorbent Pads OR Surgical Articles 23

C08F - Macromolecular Compounds Obtained BY Reactions Only Involving Carbon-to-carbon Unsaturated Bonds 23

G06Q - Information AND Communication Technology [ICT] Specially Adapted FOR Administrative, Commercial, Financial, Managerial OR Supervisory PURPOSES; Systems OR Methods Specially Adapted FOR Administrative, Commercial, Financial, Managerial OR Supervisory Purposes, NOT Otherwise Provided FOR 21

Top 15 of 207 technology areas

More on this record

Data Source

USPTO PatentsView, US granted patents 2015–2025

View all rankings → How is Innovation Score calculated?

What to do with this data

Carnegie Mellon University's patent record in context - here's where to go next.

Carnegie Mellon University's lead technology class is G06F (Electric Digital Data Processing), 20.2% of its portfolio - see every assignee active in that class. Explore G06F
Ranked #777 of 49,997 tracked assignees by patent volume - see the full leaderboard. See the ranking
Compare Carnegie Mellon University against Schott AG, an assignee filing at a similar volume. Compare portfolios
Innovation Score of 67.7/100 blends volume, velocity, technology breadth, and claim depth. How it's calculated

Figures reflect USPTO PatentsView grant data through May 2026; pending applications not yet granted are not counted.

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

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

Compiled by PlainPatent , US Patent Intelligence Editorial Process · May 15, 2026

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.