CPC technology class · G01

G01M - Testing Static Or Dynamic Balance Of Machines Or Structures

Testing static or dynamic balance of machines or structures; testing of structures or apparatus, not otherwise provided for. 14,845 US utility patents granted 2015–2025, with the leading assignees and year-by-year grant trajectory.

Compiled by PlainPatent · May 15, 2026

14,845
US patents granted: #7/18
in G01: 3.8%
G01 class share: +18%
5-yr velocity

The verdict

According to USPTO PatentsView, Testing Static Or Dynamic Balance Of Machines Or Structures ranks #124 of 670 CPC technology areas - 14,845 US patents granted since 2015, with recorded grant volume up 18% over five years.

#124
of 670 CPC technology areas: 14,845
US patents granted, 2015–2025: General Electric
leading assignee (291): +18%
grant velocity, last 5 yrs

How G01M's grant cadence moved

Between 2020–2024, G01M recorded 7,123 grants versus 6,021 in 2015–2019 (+18% equal-window velocity). Across complete years, output peaked in 2019 at 1,621 grants and bottomed in 2015 at 841 (+93% peak-over-trough). Lead assignee Strong Force IoT Portfolio 2016, LLC holds 0.9% of the class ; the top three share 2.4%.

Leaderboard read

G01M concentration, lead at 0.9%

Strong Force IoT Portfolio 2016, LLC leads this historical grant record at 0.9% of G01M - foreign corporation assignees hold 57% of class grants (3,533 of 6,147). Figures describe granted US utility patents in this CPC subclass, not current investment or legal strength.

Leader's share: 0.9%
Top three share: 2.4%
Lead over #2: 19

Where G01M sits inside G01

Among 18 subclasses in G01 (MEASURING; Testing), G01M ranks #7 and holds 3.8% of the parent class's 393,430 recorded grants. Sibling chips below are the other subclasses in the same parent class, not the nationwide volume/lead-share peers further down.

G01N 115,972 G01R 53,716 G01S 52,756 G01C 32,360 G01B 22,043 G01J 16,402 G01V 14,307 G01D 14,112

Rising assignees active in G01M

Company-wide grant multiples (2022–2024 vs 2019–2021) among assignees with ≥5 patents in this subclass. Growth is company-wide; class patent counts are subclass-specific.

#1 Niterra Co., Ltd. 38x 0 → 38 company-wide · 5 in G01M
#2 MLOptic Corp. 34x 0 → 34 company-wide · 8 in G01M
#3 Oliver Crispin Robotics Limited 28x 0 → 28 company-wide · 6 in G01M
#4 Chengdu Qinchuan IOT Technology Co., Ltd. 20x 9 → 179 company-wide · 11 in G01M
#5 China Automotive Technology AND Research Center Co., Ltd 19x 0 → 19 company-wide · 10 in G01M

G01M grants by year, peak 2019 (1,621)

US utility-patent grants per year in G01M, 2015–2025 - recent five years are up 18% versus 2015–2019.

Strong Force Iot…

141
Aktiebolaget Skf

122
Compagnie Generale…

95
Rolls-royce

78
Pratt & Whitney Canada

75
Meidensha

74
Nippon Telegraph And…

73
Horiba

69
Safran Aircraft…

67
Kobe Steel

65
Bridgestone

58
Viavi Solutions

54

What this shows General Electric is the most active filer in G01M, holding 291 of the 14,845 patents in this class. Concentration at the top signals how contestable this technology area is for new entrants.

View data table

Top patent holders in CPC subclass G01M
Rank	Company	Patents in G01M
#1	Strong Force IoT Portfolio 2016, LLC	141
#2	Aktiebolaget SKF	122
#3	Compagnie Generale DES Etablissements Michelin	95
#4	Rolls-royce plc	78
#5	Pratt & Whitney Canada Corp.	75
#6	Meidensha Corporation	74
#7	Nippon Telegraph AND Telephone Corporation	73
#8	Horiba, Ltd.	69
#9	Safran Aircraft Engines	67
#10	Kobe Steel Ltd.	65
#11	Bridgestone Corporation	58
#12	Viavi Solutions Inc.	54
#13	Siemens Energy, Inc.	54
#14	Carl Zeiss SMT GmbH	53
#15	AVL List GMBH	50
#16	Inficon AG	48
#17	Exfo Inc.	47
#18	Mueller International, LLC	46
#19	Dalian University of Technology	44
#20	Pirelli Tyre S.P.A.	44

Footprint here vs. claim strategy

Each dot is a leading G01M assignee, placed by how many patents it holds in this class (horizontal) against its company-wide average claims per patent (vertical) - a read on whether the class is led by broad-but-shallow filers or focused deep-claim players.

Top 14 G01M assignees by class footprint. Bubble size = patents in G01M. Source: USPTO PatentsView (claim depth is company-wide across all classes).

Classes near G01M's 14,845-grant footprint

Nationwide nearest neighbors for G01M (#124 of 670 by volume ; lead share 2.0%) - not the G01 parent-class siblings above.

Nearest by grant volume

C04B 14,853 F16B 14,787 H01H 14,753 H01B 14,745

Nearest by lead-assignee share

G01B 2.0% C12N 1.9% F27B 2.0% C08B 1.9%

Questions about G01M

Which company holds the most patents in G01M?

General Electric Company leads G01M with 291 patents (0.9% of the subclass). By PatentsView assignee type, foreign corporations account for 57% of class grants.

Which G01M assignees grew fastest recently?

Among assignees with ≥5 grants in G01M, Niterra Co., Ltd. shows the highest company-wide grant multiple (38x: 0 grants in 2019–2021 → 38 in 2022–2024) while holding 5 patents in this subclass. Growth is company-wide, not class-only.

How does G01M compare inside parent class G01?

Inside G01 (MEASURING; Testing), G01M ranks #7 of 18 subclasses by grant volume and holds 3.8% of the parent class total. The largest sibling is G01N (115,972 grants).

What to do with this data

G01M in context - here's where to go next.

Strong Force IoT Portfolio 2016, LLC leads G01M with 141 grants in this class. See full portfolio
G01M ranks #124 of 670 by grant volume among all tracked CPC technology areas. See the ranking
Inside parent class G01, the largest sibling subclass is G01N with 115,972 grants. Explore G01N

Figures reflect USPTO PatentsView grant data through 2026-05-15; pending applications not yet granted are not counted.

Methodology - G01M figures are USPTO PatentsView granted-utility totals for this subclass (14,845 grants in the tracked window).

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.