Linear Motor Patents: Who Leads, Where the Gaps Are 2026
- Filings have cooled since 2018. the peak year at 47 records against a flat-to-declining midpoint of 23 in 2022 signals a field where claim territory is largely staked rather than expanding.
- The top 5 assignees hold 33.3% of all 1,119 records. and the top 10 combined reach 46.1% — concentrated enough that a new entrant needs a specific design-around, not a broad filing strategy.
- H02K dominates at 96.5% of records. while adjacent classes like B23Q (2.7%) and G01D (2.7%) show far thinner coverage — a gap worth checking before assuming any given sub-area is crowded.
Filing growth compares 2021 (25 records) with 2024 (25) — 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 1,119 records in scope (CR5), not by the ranked leaders only.
What the linear motor and direct drive patent record shows
Linear motors and direct drive systems replace rotary motors coupled to mechanical transmissions with a motor that produces force directly along the axis of travel. The patent activity in this dataset centres on the practical problems that come with removing that mechanical buffer: force ripple, thermal load in the coil, cogging, positioning bandwidth, and the cable carrier and feedback wiring that has to travel with a moving platen. These are not exotic subfields — they are the claims that determine whether a linear motor stage actually holds tolerance in production, and they explain why the search terms in this dataset cluster so tightly around control and thermal management rather than basic motor topology.
Coverage runs from 2015 through the third quarter of 2026, with 1,119 published records in scope. Publication lags filing by roughly 18 months, so the most recent year of filings is understated in any trend line built from publication dates — a fact to keep in mind before reading too much into the 2026 figure.
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Filing trend and technology composition
Two views of the same 1,119 records: how filing activity has moved year over year, and which IPC subclasses carry the claims.
A peak in 2018, then a plateau
Filings rose to 47 in 2018, the high point of the tracked period, then settled toward a midpoint of 23 in 2022 — flat to declining rather than growing. That pattern is more consistent with a technology whose core claim space is already occupied than one still being actively opened up.
H02K anchors the field; the rest is thin
H02K (electric motors and generators) appears in 96.5% of the 1,119 records, as expected given the search scope. What stands out is the drop-off after that: H02P (control) at 8.6%, B65G (conveying) at 5.8%, B60L (EV propulsion) at 5.0%, and four further classes — B23Q, G01D, G03F, G05B — each under 3%. Because a record can carry multiple IPC codes, these shares add up to more than 100%; the useful read is the relative thinness of everything outside the core motor class.
Shares are the percentage of the 1,119 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.
Go deeper on Linear Motors and Direct Drive Systems with Eureka
This page is one run against one query. Ask Eureka your own question about linear motors and direct drive systems and every answer comes back with the patent numbers behind it.
Try EurekaThe prior art doing the most citation work
Linear motor force ripple identification and compensation with iterative learning control
Filed by Nikon, this record addresses force ripple compensation directly: generating force commands for a trajectory from multiple starting positions, capturing the peaks of acceleration and valleys of low force, and using an average of those force commands to identify and cancel the ripple pattern through iterative learning control.Abstract trimmed for length; see the full record for complete claim language.
| # | Publication no. | Patent title | Citations |
|---|---|---|---|
| 1 | US5723917A | Flat linear motor | 142 |
| 2 | US4749921A | Linear motor with non-magnetic armature | 130 |
| 3 | US5808381A | Linear motor | 119 |
| 4 | US6329728B1 | Cylinder-type linear synchronous motor | 101 |
| 5 | US5519266A | High efficiency linear motor | 89 |
| 6 | US6570273B2 | Electric linear motor | 87 |
| 7 | JP2000217334A | Linear motor | 78 |
| 8 | US5965963A | Linear motor with a plurality of stages independently movable on the same path | 73 |
| 9 | US5994798A | Closed-path linear motor | 73 |
| 10 | US6163091A | Linear motor with commutation coil | 70 |
Citation counts inside a searched corpus favour older filings — treat these as markers of influence on later claim drafting, not as a ranking of current technical importance.
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 read-throughs from the concentration, composition and citation data above.
The top of the field is settled, not open
With the leader at 140 records and a fifth-place assignee still at 44, the gap between first and fifth is wide enough that a new filer competing head-on in core H02K claim space is filing into occupied ground. The more useful question is which of the thinner IPC classes that same leadership group has not yet claimed as heavily.
Filing volume has not kept climbing
The 2018 peak of 47 records was not sustained; by 2022 the field was back to 23, and recent-year momentum across the leading assignees shows zero new records in the latest year for each of the names tracked. That flatness does not mean the technology is dead — it means the easy claims are filed, and remaining activity likely concentrates on narrower refinements.
Machine tool and metrology adjacencies are thin
B23Q (machine tool fittings), G01D (measuring and recording) and G03F (photolithography) each sit under 3% of records despite linear motors being core to precision stages in exactly those industries. That gap is either an unclaimed opportunity or a sign those applications are filed elsewhere under different search terms — worth checking before committing R&D there.
Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to linear motors and direct drive systems, with the prior art for and against each one.
Who is filing, and where the gate sits
A ranked field of 100 companies accounts for the assignee data behind this landscape; the shape of that ranking tells you what it takes to compete at the top versus what is still reachable by a focused filer.
A clear leader, then a long tail
The distance from the leader at 140 records to fifth place at 44, and again down to tenth at 21, describes a field with one dominant filer and a long tail of contributors rather than several evenly matched blocs. Co-assignee pairings in the data show some of that leadership working with named individual inventors and academic partners rather than only in-house.
Collaboration is limited but visible
Only 10 co-assignee pairs appear in the dataset, the strongest linking a major Japanese motor manufacturer with an individual inventor, and a separate pairing linking a lithography equipment maker with a research university. These are exceptions in a field where most filings are single-assignee.
Filing geography favours the US, Japan and Europe
The United States leads receiving-office counts at 367, ahead of Japan at 225 and the EPO at 163; China follows at 134 and South Korea at 46, with 62 filed via the WIPO PCT route. That spread suggests a technology still filed regionally close to where the equipment is built and sold, rather than funnelled through a single dominant office.
| Assignee | Recent year | YoY |
|---|---|---|
| Yaskawa Electric Corporation | 0 | — |
| Sanyo Denki Co., Ltd. | 0 | — |
| THK Co., Ltd. | 0 | — |
| Mitsubishi Electric Corporation | 0 | — |
| Yamaha Motor Co., Ltd. | 0 | — |
| Anorad Corporation | 0 | — |
| Proterial, Ltd. | 0 | — |
| FANUC Corporation | 0 | — |
Where to take this next
The landscape above sets the boundaries; the next step is testing a specific claim idea or a specific competitor against the full record set.
Check a draft claim against the full corpus
The IPC composition data shows where coverage is thin, but only a full-text search of the 1,119 records will confirm whether a specific claim on, say, cable carrier routing or coil thermal management is actually open.
Search the full dataset in EurekaTrack the leading assignees' recent filings
Recent-year momentum shows zero new records from the leading assignees in the latest tracked year — worth confirming directly given the 18-month publication lag before concluding they have stepped back.
Set up assignee monitoring in EurekaCommon questions about linear motor and direct drive patents
In this dataset the leading assignee holds 140 of the 1,119 records in scope, well ahead of the fifth-ranked assignee at 44 and tenth-ranked at 21. The top 5 assignees combined account for 33.3% of all records, and the top 10 combined reach 46.1%. That pattern — one clear leader, a moderate second tier, then a long tail — is typical of a mature electric-machines subfield where core claim space was staked years ago rather than a technology still being actively carved up.
Filing activity peaked in 2018 at 47 records in this dataset and had fallen back to 23 by the 2022 midpoint, which reads as flat to declining rather than growing. The most recent year always looks lower than it will end up because publication typically lags filing by around 18 months, so 2026's figure will revise upward. Even accounting for that lag, the multi-year trend does not show sustained growth past the 2018 peak.
The core class is H02K, covering electric motors and generators, which appears in 96.5% of the 1,119 records in this dataset. Control-specific claims — including force ripple compensation and positioning bandwidth — more often sit in H02P (control of motors and generators), present in 8.6% of records. Because a single patent can carry multiple IPC codes, these percentages overlap rather than sum to 100%, and searching only H02K would miss a meaningful share of control-focused filings.
The thinnest IPC coverage relative to the core H02K class sits in B23Q (machine tool fittings) and G01D (measuring and recording), each at 2.7% of the 1,119 records, and G05B (control and regulating systems) at 2.3%. Given that linear motors are foundational to precision machine tools and metrology stages, this thinness suggests either an unclaimed opportunity in those specific integrations or that related filings are classified and searched under different terms. Cable carrier and feedback routing, and coil thermal management for sustained duty cycles, also show comparatively light dedicated coverage in the corpus.
This Nikon filing covers a specific method of force ripple compensation: generating force commands across multiple starting positions on the same trajectory, capturing the acceleration peaks and low-force valleys, averaging those commands, and applying iterative learning control to cancel the ripple pattern. It does not block force ripple compensation generally — only this particular iterative-learning-control approach using multi-start-position averaging. A team using a different compensation method, such as direct current-based ripple cancellation without the iterative learning loop, would sit outside this specific claim scope, though a freedom-to-operate review of the full claim set is the only way to confirm that with confidence.
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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.