Inertial & Motion Sensors Patents: Top Companies & Trends 2026
- Concentration is modest at the top. the five leading assignees hold 21.3% of all 25,071 records in scope, and the top ten hold 26.6% — a wide field rather than a two-company race.
- Filing activity has cooled from its 2022 peak. filings ran 2,058 in 2021 down to 1,424 in 2024, a -31% move over that span, before the still-incomplete 2025-2026 years understate what's actually been filed.
- Software-adjacent classes now outweigh classic sensor hardware classes. G06F data processing (13.3% of records) and G01S positioning (12.1%) each appear in more records than G01C, the class that covers gyroscopes and navigation directly (8.3%).
Filing growth compares 2021 (2,058 records) with 2024 (1,424) — 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 25,071 records in scope (CR5), not by the ranked leaders only.
What this dataset covers
The scope covers 25,071 published records filed or published between 2015 and the 2026 cut-off, drawn from a search combining inertial measurement and motion-sensing terminology with the calibration, error-detection and accuracy language that separates a working sensor claim from a bare mechanical description. The corpus spans consumer electronics, robotics, industrial IoT and navigation applications, which is why classes as different as G01C (gyroscopes and navigation) and H04W (wireless networks) both show up with double-digit record shares.
Family-level counting is used throughout the ranking so that continuation filings and multi-jurisdiction duplicates in a single family do not inflate any one assignee's position. Publication lags filing by roughly 18 months, so any apparent decline in the most recent one or two years reflects incomplete data rather than a real drop in inventive activity.
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Filing trends and technology composition
Two views of the same 25,071-record corpus: how filing volume has moved year over year, and how records distribute across the IPC subclasses that describe the underlying technology.
Filing trend, 2017-2026
Filings rose from 1,073 in 2017 to a peak of 2,096 in 2022, then eased to 1,424 by 2024 (-31% versus 2021's 2,058) — the last year the trend can be read as complete before publication lag thins out 2025 and 2026.
Technology composition by IPC subclass
G06F (electric digital data processing) and G01S (radar, sonar and positioning) each cover more records than G01C, the subclass most directly tied to gyroscopes and navigation — a sign that sensor-fusion and processing claims now carry as much weight as the sensing hardware itself. Shares are of all 25,071 records and sum past 100% because most records carry more than one class.
Shares are the percentage of the 25,071 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.
Go deeper on Inertial & Motion Sensors Patent Landscape with Eureka
This page is one run against one query. Ask Eureka your own question about inertial & motion sensors patent landscape and every answer comes back with the patent numbers behind it.
Try EurekaA representative claim in this space
Drift calibration method and device for inertial measurement unit, and unmanned aerial vehicle
The filing describes correcting drift in an inertial measurement unit by cross-referencing video captured during flight against the unit's own rotation data, deriving the measurement error directly from that comparison rather than from a separate reference sensor.Filed by SZ DJI Technology, published 2020-08-20 as US20200264011A1.
| # | Publication no. | Patent title | Citations |
|---|---|---|---|
| 1 | US20050046584A1 | Asset system control arrangement and method | 1,780 |
| 2 | US20130201316A1 | System and method for server based control | 1,726 |
| 3 | US6970183B1 | Multimedia surveillance and monitoring system including network configuration | 1,583 |
| 4 | US7020701B1 | Method for collecting and processing data using internetworked wireless integrated network sensors (WINS) | 1,457 |
| 5 | US6735630B1 | Method for collecting data using compact internetworked wireless integrated network sensors (WINS) | 1,420 |
| 6 | US5730165A | Time domain capacitive field detector | 1,326 |
| 7 | US20140266669A1 | Devices, methods, and associated information processing for security in a smart-sensored home | 1,283 |
| 8 | US20050192727A1 | Sensor Assemblies | 1,180 |
| 9 | US6859831B1 | Method and apparatus for internetworked wireless integrated network sensor (WINS) nodes | 1,178 |
| 10 | US7103460B1 | System and method for vehicle diagnostics | 1,176 |
Citation counts favour older filings that have had more time to accumulate citations inside this corpus; treat them as a signal of influence on the field rather than of current commercial relevance.
Each row carries its publication number; clicking a row searches Eureka by that number.
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Browse MCP servers →What the numbers mean for a filing decision
Three findings that change where a team should look before drafting or budgeting for freedom-to-operate work in this space.
The field is wide, not cornered
With the leading five assignees holding 21.3% of all records and the leading ten holding 26.6%, no single filer or pair of filers controls the claim space the way a two-player market would. That leaves room for a well-drafted claim to clear prior art even in a crowded subclass, provided it is checked against the specific filings that do exist there rather than assumed clear because the field looks fragmented.
Volume has come off its 2022 peak
Filings peaked at 2,096 in 2022 and had fallen to 1,424 by 2024, a -31% move over the 2021-2024 span. That is a real cooling in a technology that saw a sharp build-up through the early 2020s, though it says nothing about 2025 or 2026, which are still being filled in by publication lag.
Processing claims now outweigh sensing claims
G06F (digital data processing) appears in 13.3% of records and G01S (positioning) in 12.1%, both ahead of G01C (gyroscopes and navigation) at 8.3%. Drafting strategy should account for this: a claim aimed only at the mechanical or MEMS sensing element competes in a smaller slice of the art than one that also covers the data-processing or fusion layer.
Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to inertial & motion sensors patent landscape, with the prior art for and against each one.
| Assignee | Co-assignee | Shared families |
|---|---|---|
| Honeywell International Inc. | PII NORTH AMERICA | 6 |
| Honeywell International Inc. | CHAPPELL CHARLES D | 6 |
| Google LLC | ROSS CHRISTOPHER | 4 |
| Honeywell International Inc. | KURTH ANTHONY J | 4 |
| Honeywell International Inc. | BECKER KARL H | 4 |
| Apple Inc. | ZHANG YUSHU | 3 |
| Qualcomm Incorporated | XU HUILIN | 3 |
| Qualcomm Incorporated | REN YUWEI | 3 |
Ten co-assignee pairs appear in the data, the strongest recurring around a single industrial-sensor filer working with named individual co-inventors and around a wireless-platform filer paired with a named co-inventor — a pattern more typical of internal cross-team filings than of joint-venture arrangements.
Assignee landscape and momentum
The ranked leaders span consumer electronics, mobile chipsets, industrial IoT platforms and social/AR hardware makers, reflecting how broadly inertial and motion sensing technology has been absorbed into adjacent product categories.
A single leader well ahead of the field
The leading assignee's record count sits far above fifth place (337) and tenth place (222), a gap that suggests a long-running, well-resourced filing program rather than a recent entrant catching up on volume.
Momentum has slowed across the board
Every one of the assignees with visible recent-year momentum shows a sharp YoY decline, from -67% to -100% at the low end. This lines up with the broader 2021-2024 trend and, given publication lag, likely overstates the real slowdown rather than confirming filers have stopped.
US filings dominate venue choice
The United States accounts for far more records than the next largest venues — EPO, WIPO/PCT, then Australia, Canada and the UK trailing well behind. A filer targeting this space needs a credible US position before anywhere else matters.
| Assignee | Recent year | YoY |
|---|---|---|
| Apple Inc. | 23 | -91% |
| Qualcomm Incorporated | 2 | -93% |
| SKYDIO INC | 2 | -80% |
| Strong Force IoT Portfolio 2016 LLC | 1 | -67% |
| Samsung Electronics Co., Ltd. | 1 | -89% |
| LG Electronics Inc. | 0 | -100% |
| Google LLC | 0 | -100% |
| Honeywell International Inc. | 0 | -100% |
Where to take this next
The dataset points to specific questions worth running down before committing to a drafting or freedom-to-operate strategy in this space.
Map the white space chips against live filings
The under-claimed branches above are a starting point, not a conclusion — each needs its own targeted search before a first claim is drafted against it.
Explore in Patsnap Eureka →Track momentum, not just position
A leader's raw record count and its recent-year momentum tell different stories; watch both before assuming today's ranking holds through the next filing cycle.
Run a live assignee trend in Patsnap Eureka →Check the most-cited records for design-around risk
High citation counts inside this corpus mark influence, not necessarily current enforceability — verify status and claim scope before treating any of them as a blocker.
Pull full citation detail in Patsnap Eureka →Common questions on inertial and motion sensor patents
The ranking in this dataset shows a single assignee well ahead of the rest, holding 1,537 of the 25,071 records in scope compared with 337 at fifth place and 222 at tenth. The top five assignees combined hold 21.3% of all records, and the top ten hold 26.6%, which means the remaining roughly three-quarters of filings are spread across a long tail of other companies rather than concentrated among a handful of leaders. Anyone doing freedom-to-operate work should still check the leader's portfolio closely, but should not assume the field is a two- or three-company market.
Filing volume peaked at 2,096 records in 2022 and fell to 1,424 by 2024, a -31% change from 2021's 2,058 filings, which is a genuine cooling over that three-year window. However, publication lag of roughly 18 months means the 2025 and 2026 figures in any dataset will look artificially low simply because those applications have not all published yet, so it is not yet possible to say whether the cooling continues past 2024. Treat any 2025-2026 numbers as provisional rather than evidence of a further decline.
Beyond the core gyroscope and navigation class (G01C, 8.3% of records), the largest overlapping areas are digital data processing (G06F, 13.3%), radar/sonar/positioning (G01S, 12.1%) and wireless communications (H04W, 11.8%). This shows the field has shifted toward processing and connectivity claims layered on top of the physical sensing element, which matters for drafting: a claim that only covers the sensor hardware competes in a smaller slice of the art than one that also reaches the data-fusion or transmission layer.
US20200264011A1, filed by SZ DJI Technology and published 2020-08-20, covers a drift calibration method for an inertial measurement unit that derives the measurement error by comparing video captured in flight against the unit's own rotation data, rather than relying on a separate physical reference sensor. This is significant for drone and mobile-robotics applications because it ties calibration to a sensor (camera) already present on the platform. Anyone building vision-aided IMU calibration should review this filing's claim scope directly rather than relying on the abstract alone.
The IPC composition suggests thinner direct coverage in branches like vision-aided drift correction, multi-sensor fusion tuned for low-cost MEMS hardware, and edge-processed motion classification, relative to how dense the core calibration and detection-circuit claims already are. These are inferences from where record density is lower, not a guarantee of clearance, so any of them still needs a targeted novelty search before drafting. The general pattern — a wide field with no dominant controller of any single sub-area — supports there being room to file, but specific claim language always needs individual verification.
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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.