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MEMS Accelerometer Testing Patent Snapshot 2026

MEMS Accelerometer Testing Patent Snapshot 2026
Evidence Snapshot
MEMS Accelerometer Testing Patent Snapshot in 2026

The MEMS accelerometer testing patent corpus is extremely sparse, with a single patent family on record filed in 2025 by one Chinese applicant. The field is effectively open, with no established multi-player competition and no co-filing ecosystem visible in the current evidence.

1
Patent families in scope
N/A
Concentration not assessed
N/A
Growth trend not assessed
China
Leading jurisdiction
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Published byPatsnap Insights Team··4 min readVerified by Patsnap Eureka data
Overview

One applicant holds the entire visible corpus — the field is nascent and largely unclaimed

The ranked applicant list contains a single entity: the Beijing branch of Kaituo Navigation Control Technology Co., Ltd., which accounts for all 1 patent family in scope.

With the top five filers holding 100% of the ranked applicants visible in this query’ combined total, concentration is absolute — though that figure reflects a corpus of just one family, meaning no meaningful tier gap yet exists.

Leading applicants
#ApplicantPatent familiesShare
1Kaituo Navigation Control Technology Co., Ltd. (Beijing Branch)1
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The leader’s position is not a sign of entrenched dominance but rather first-mover status in an area where systematic patent activity has not yet emerged among larger navigation, MEMS, or semiconductor testing players.

The most recent filing (2025) falls within the publication-lag window; additional families may exist but not yet be publicly indexed. Longer-window growth, applicant concentration, and technology-route coverage are therefore more reliable signals than the latest-year bar alone.

Source: Patsnap Eureka. Chart shows the top applicants ranked by patent families. Applicant counts can overlap where a patent family lists several applicants, so they need not sum to the total in scope. This same dataset is now available on Patsnap Open Platform via MCP.Connect via MCP →
Trends & Structure

Activity is limited to a single 2025 filing across two IPC branches

The annual trend and technology composition charts together paint a picture of a field with virtually no historical filing volume and a narrow, dual-branch technology footprint.

Annual filing trend

No filings appear from 2017 through 2024; a single family appears in 2025. The 2025 and 2026 data points are within the publication-lag window and should be treated as preliminary — the true 2025 volume may be higher once pending applications publish.

Annual filing trendAnnual values from 2017 to 2026, peaking at 1 in 2025.02017020180201902020020210202202023020241202502026↗ Hover for values · click a bar to ask Eureka

Technology composition

The sole family spans two IPC classes: G01P (velocity and acceleration measurement) and G06F (electric digital data processing), reflecting a testing approach that combines physical sensing with computational data handling. No other IPC branches are represented, indicating the technology scope is tightly defined at this stage.

Technology compositionG01P · Velocity & acceleration leads with 1; G06F · Electric digital data processing 1.G01P · Velocity & accele…1G06F · Electric digital …1↗ Hover for values · click a bar to ask Eureka
Source: Patsnap Eureka. Technology-branch counts are measured in patent records; a single patent family can carry several IPC classes, so class totals can exceed the family total in scope.Explore deeper in Eureka →
Key Patents

Highly cited patent families surfaced by the query

Citation-heavy patent families returned by the query. Use this section as citation context, not as a curated list of the most topic-specific patents.

Featured patent
CN120652121APublished 2025-09-16

一种MEMS加速度计标度因数非线性批量补偿试验方法

开拓导航控制技术股份有限公司北京分公司

本发明公开了一种MEMS加速度计标度因数非线性批量补偿试验方法,所述试验方法包括:建立加速度计非线性数学模型;设计加速度试验批量标定试验方法进行批量非线性标定试验;建立补偿参数模型,通过补偿试验数据计算非线性标定的各项参数;根据所述各项参数进行批量补偿验证试验;分析参数一致性,确认固定参数补偿可行性。可以提高MEMS加速度计组合大量程标度因数非线性,并提高批量试验效率。 (excerpt from the patent abstract)

一种MEMS加速度计标度因数非线性批量补偿试验方法 — patent drawing一种MEMS加速度计标度因数非线性批量补偿试验方法 — patent drawing
Representative drawings from the patent document.
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Ranked by total forward citations. Citation counts favour older and broadly cited patent families, and broad or adjacent patents may appear when they match the search scope. Treat this section as citation context, not as a curated list of the most topic-specific patents. Some patent titles may be shown in their original, non-English language where an accurate translation could not be guaranteed.

Source: Patsnap Eureka. Citation-ranked patent families surfaced by this query.Open in Eureka →
Visible assignees

Assignee snapshot from the current evidence set

The applicants below are visible in this query result. Because the evidence set is relatively small, read this section as a directional snapshot rather than a full competitive ranking.

Leader · Kaituo Navigation Control Technology Co., Ltd. (Beijing Branch)

Kaituo Navigation Control Technology Co., Ltd. (Beijing Branch)

This applicant holds 1 patent family in scope, covering both G01P velocity-and-acceleration and G06F digital data processing branches. No prior-period filing history is visible, making momentum assessment unavailable. Their focus on navigation control suggests the testing methodology is likely tied to inertial navigation system qualification rather than general-purpose MEMS test equipment.

patent families: 1
Challenger · evidence pending

No challenger identified

No second-ranked applicant appears in the evidence. The challenger tier is vacant, meaning any organization that files in this space in the near term would immediately enter the top two. Larger MEMS foundries, test-equipment vendors, and defense navigation suppliers are conspicuously absent from the record.

patent families: —
🔍
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Use Eureka to validate whether these visible assignees remain central after refining the query scope and adding related patent classes.
Kaituo Navigation Control Technology Co., Ltd. (Beijing Branch)evidence pending+ more
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Source: Patsnap Eureka. Assignee evidence is drawn from the current PatSnap Eureka query. In small evidence sets, applicant counts should be treated as directional signals, not a complete competitive ranking.Explore players →
Frequently asked questions

Frequently asked questions

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Built on Patsnap Open Platform

This report’s underlying patent dataset — filings, assignees, technology clusters — is open for developers via MCP and REST API. Free to start, 10,000 credits, no credit card required.

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.

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