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MEMS Inertial Sensor Patents: Top Companies & Filing Trends 2026

MEMS Inertial Sensor Patents: Top Companies & Filing Trends 2026
https://www.patsnap.com/resources/blog/rd-blog/mems-inertial-and-vibration-sensors-patent-landscape/ · Patsnap · data cut-off 2026-07-31 · downloaded from the live page
Patent Landscape · Industrial Sensors
MEMS Inertial and Vibration Sensor Patents: Who Leads and Where Filings Are Headed
  • 25.0% of all filings sit with just five assignees, out of 11,576 records in scope — concentrated at the top with a long tail behind them.
  • Filings fell 55% from 1,033 in 2021 to 470 in 2024, the last year the data can treat as complete.
  • Wireless and navigation classes dominate H04W and G01C each cover well over 15% of records, while narrower classes like G01P sit under 10%.
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11.6K
Published Records
25%
Top-5 Share of All Records
-55%
Filing Growth 2021→2024
US
Leading Jurisdiction

Filing growth compares 2021 (1,033 records) with 2024 (470) — a three-year span. 2024 is the most recent year we treat as complete: publication lags filing by roughly 18 months, so 2025 onwards are still filling in and any growth rate that ends there would understate the field. Top-5 share is the combined record count of the five largest assignees divided by all 11,576 records in scope (CR5), not by the ranked leaders only.

Published byPatsnap Research··6 min readSourced from Patsnap Eureka
Overview

What this landscape covers

This landscape tracks 11,576 patent records published between 2015 and mid-2026 that combine MEMS accelerometer, industrial vibration sensor or inertial sensor terminology with specific technical qualifiers: bias instability, cross-axis sensitivity, temperature compensation, mounting resonance, frequency range or sensor fusion. That pairing narrows the field to filings that engage with the hard engineering problems of inertial sensing rather than generic motion-sensing claims.

Filing activity peaked in 2020 at 1,304 records and has since declined, though the most recent one to two years are still filling in as publication lags filing by roughly 18 months. The receiving-office spread — dominated by the United States, with meaningful volume at the EPO, WIPO, Germany and India — points to a field still filed multi-jurisdictionally rather than consolidating around a single office.

Filing activity and technology composition, 2015–2026
  1. 1LG ELECTRONICS INC1,373
  2. 2STRONG FORCE IOT PORTFOLIO 2016 LLC485
  3. 3INVENSENSE INC423
  4. 4SZ DJI TECH CO LTD351
  5. 5QUALCOMM INC258
  6. 6HONEYWELL INTERNATIONAL INC187
  7. 7APPLE INC148
  8. 8SAMSUNG ELECTRONICS CO LTD117
  9. 9SEIKO EPSON CORP110
  10. 10RESMED SENSOR TECH LTD105
Source: Patsnap Eureka. Assignee ranking and totals. Derived from a Patsnap search on MEMS Inertial and Vibration Sensors covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP

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The Numbers

Filing trends and technology composition

Two views of the same 11,576-record dataset: how filing volume has moved year over year, and which IPC subclasses carry the underlying technical claims.

A decade of filing activity, cooling from a 2020 peak

Annual filings rose from 765 in 2017 to a peak of 1,304 in 2020, then fell to 470 by 2024 — a 55% drop across the 2021-to-2024 span. Because publication trails filing by around 18 months, the low counts in 2025 and 2026 reflect incomplete data rather than a confirmed further slowdown.

A decade of filing activity, cooling from a 2020 peak03757501,1251,5007652017201820191,3042020202120222023202420251222026Most recent year is partial — publication lag means later filings are not yet visible.

Wireless connectivity and navigation classes lead technical composition

H04W (wireless communication networks) appears in 19.4% of records and G01C (navigation and gyroscopes) in 15.6%, ahead of data-processing (G06F, 12.8%) and diagnostic/surgical applications (A61B, 12.4%). Because records often carry multiple IPC codes, these shares sum past 100% of the 11,576-record total — the picture is one of inertial sensing claims layered onto communications and positioning stacks rather than isolated in a single class.

Wireless connectivity and navigation classes lead technical compositionH04W · Wireless communication networks2,24019.4%G01C · Distance, navigation & gyrosco…1,80815.6%G06F · Electric digital data processi…1,48212.8%A61B · Diagnosis & surgery1,44012.4%G01S · Radar, sonar & positioning1,24610.8%H04L · Digital information transmissi…1,23910.7%G01P · Velocity & acceleration1,1089.6%H04B · Transmission (general)7996.9%Other14,020121.1%

Shares are the percentage of the 11,576 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.

Source: Patsnap Eureka. Filing trend and technology composition. Derived from a Patsnap search on MEMS Inertial and Vibration Sensors covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.

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Key Patents

Representative filing and most-cited prior art

Representative Record
US20180313864A12018-11-01

Inertial sensor element control device with temperature compensation update logic

SEIKO EPSON CORPORATION

A control device connected to an inertial sensor with temperature characteristics stores temperature compensation information and update history, determines whether a compensation update is needed based on temperature sensor output and history, checks whether the inertial sensor is at rest, and updates the compensation information accordingly.Filed by Seiko Epson, published 2018-11-01 as US20180313864A1.

US20180313864A1 — patent drawing 1US20180313864A1 — patent drawing 2
View full record
Most-cited records in this dataset
#Publication no.Patent titleCitations
1US20130201316A1System and method for server based control1,722
2US20190201047A1Method for smart energy device infrastructure1,271
3US8419717B2Control system configured to compensate for non-ideal actuator-to-joint linkage characteristics in a medical …1,211
4US20150201918A1Surgical Handpiece1,096
5US20190258251A1Systems and methods for safe and reliable autonomous vehicles1,042
6US20190339688A1Methods and systems for data collection, learning, and streaming of machine signals for analytics and mainten…972
7US7093492B2Configurable vibration sensor869
8US20140347265A1Wearable computing apparatus and method812
9US20090303204A1Controlling and accessing content using motion processing on mobile devices762
10US20140184496A1Extramissive spatial imaging digital eye glass apparatuses, methods and systems for virtual or augmediated vi…750

Citation counts accumulate over time, so older records are structurally favoured — read this table as a map of influential prior art, not of current filing activity.

Each row carries its publication number; clicking a row searches Eureka by that number.

Source: Patsnap Eureka. Citation counts and representative records. Derived from a Patsnap search on MEMS Inertial and Vibration Sensors covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
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Insights

What the data means for a filing decision

Three patterns stand out once volume, concentration and technology composition are read together.

Concentration
25.0% of 11,576 records
held by top 5 assignees

A concentrated top tier, then a long tail

The leading assignee alone accounts for 1,373 records, and the top five combined hold 25.0% of all 11,576 records in scope. The tenth-ranked assignee holds only 105 — a steep drop-off that suggests most of the 100 ranked companies are occasional filers rather than sustained programmes.

Ranking covers 100 assignees, the full set the dataset returns.
Momentum
-55% (2021→2024)
filing change, leaders included

Volume down across the board, not just at the fringes

Annual filings fell from 1,033 in 2021 to 470 in 2024. Recent-year momentum figures for individual leading assignees show similar or steeper year-on-year declines, indicating the pullback is broad rather than concentrated in one company's portfolio.

2025–2026 figures are still incomplete due to publication lag.
Technology mix
19.4% vs 9.6%
H04W share vs G01P share

Communications and navigation outweigh raw sensing classes

Wireless networking (H04W, 19.4%) and navigation/gyroscope claims (G01C, 15.6%) each cover a larger share of the 11,576 records than the core velocity-and-acceleration class G01P (9.6%). Sensor claims increasingly ride inside connectivity and positioning system patents rather than standing alone.

Shares are of the full record total; a record may carry several IPC codes.
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Source: Patsnap Eureka. Co-assignee relationships and derived observations. Derived from a Patsnap search on MEMS Inertial and Vibration Sensors covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
Players

Who is filing, and where the field is thinning out

The ranked leaders span consumer electronics, industrial automation, robotics and medical-sensing firms, but recent-year momentum figures show pullback even among the largest filers.

Leader
1,373 records
top-ranked assignee

A single dominant filer, well ahead of fifth place

The top-ranked assignee holds 1,373 records against 258 for the fifth-placed filer — a gap wide enough that the leader's strategy shapes much of the claim landscape around bias instability and sensor fusion.

Fifth place: 258 records; tenth place: 105 records.
Collaboration
32 shared filings
strongest co-assignee pair

Cross-filing between corporate and academic labs

The strongest co-assignee pairing in the dataset links a drone manufacturer with a university research partner at 32 shared filings — well ahead of the next pairs, which sit at 6 and 5. Ten such co-assignee pairs appear in total, suggesting joint filing is the exception rather than the norm here.

10 co-assignee pairs identified across the dataset.
Momentum
-63% to -100% YoY
latest-year change, leading filers

Even top filers are pulling back sharply

Recent-year momentum for several of the most active assignees shows steep single-digit filing counts in the latest year, with year-on-year declines ranging from roughly -63% down to -100% (zero filings). This pattern across multiple leaders, not just smaller players, supports reading the overall volume decline as broad rather than isolated.

Momentum figures reflect the latest year in the dataset, subject to publication lag.
🔍
Under-claimed branches worth checking before filing
Sub-areas where the composition data suggests thinner claim density relative to the core sensing classes.
Cross-axis sensitivity calibrationMounting resonance suppressionBias instability drift correctionMulti-sensor fusion for frequency-range extension
Rank all filers by momentum →
Filing momentum by assignee, latest year
AssigneeRecent yearYoY
Qualcomm Inc.3-63%
Strong Force IoT Portfolio 2016 LLC1-83%
InvenSense Inc.1-86%
Apple Inc.1-88%
LG Electronics Inc.0-100%
SZ DJI Technology Co., Ltd.0-100%
Honeywell International Inc.0-100%
Samsung Electronics Co., Ltd.0-100%
Source: Patsnap Eureka. Assignee-level momentum. Derived from a Patsnap search on MEMS Inertial and Vibration Sensors covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
What's Next

Turning this landscape into a filing or freedom-to-operate decision

The dataset points to where claim density sits and where it thins out — the next step is testing a specific claim idea against that picture.

Check a draft claim against the dense classes

Before drafting around temperature compensation or bias instability, confirm whether the specific mechanism has already been claimed by one of the leading assignees in H04W, G01C or G01P.

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Track momentum shifts by assignee

Year-on-year declines among leading filers may signal a shift toward trade secrecy or a pause in a technology cycle rather than an end to activity — worth monitoring release by release.

Set up assignee monitoring in Eureka
Source: Patsnap Eureka. Forward-looking reading of the same dataset. Derived from a Patsnap search on MEMS Inertial and Vibration Sensors covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
FAQ

Common questions about MEMS inertial sensor patents

Answers are grounded in the same dataset. Derived from a Patsnap search on MEMS Inertial and Vibration Sensors covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP

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Disclaimer. This page is generated from Patsnap Eureka data drawn from a limited snapshot of global patent and scientific-literature records, and is provided for general information and reference only.

Patent data carries inherent limitations: recent filings (typically the most recent 18–24 months) are under-counted due to standard publication lag; counts may be reported at either a patent-family or a patent-record basis and are not always directly comparable; classification, applicant-name, and citation data may contain errors, duplicates, or omissions; and the underlying search query defines and constrains the scope shown. As a result, the analysis may be incomplete or inaccurate and may not reflect the full technology landscape.

Nothing on this page constitutes an exhaustive prior-art, novelty, freedom-to-operate, or validity search, nor does it constitute legal, financial, investment, or professional advice, and it should not be relied upon as such. Any patent, commercial, or strategic decision should be verified independently and reviewed with qualified patent, legal, and domain professionals. Patsnap makes no warranties, express or implied, as to the accuracy, completeness, or fitness for any particular purpose of the information presented.

Machine translation. Assignee and organisation names originally recorded in Chinese, Japanese or Korean have been rendered into English by an AI translation step so that the tables stay readable. These renderings are best-effort and may not match a company’s registered English name; the original name is what the underlying patent record carries, and it is what any Eureka query launched from this page uses.

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