MEMS Microphone Quality Control Patents: Leaders & Gaps 2026
- 21 families total, most-cited cluster around one method. The three top-cited records all trace back to the same low-cost SNR testing method, filed as a US case, a WO case and a continuation — meaning one applicant's claim family dominates the citation table rather than three independent inventors.
- Filing activity peaked in 2022 and has not grown since. The midpoint year matches the peak, and the trend from 2017 shows no sustained climb — this is a technology area with occupied claim space but no visible acceleration in new filing.
- H04R carries every record; MEMS-fabrication classes are thin. All 21 families sit in H04R, but only a handful cross into B81B or B81C — the manufacturing and wafer-level side of quality control is claimed far more lightly than the audio-transducer side.
Filing growth compares 2021 (2 records) with 2024 (1) — 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.
What this landscape covers
MEMS microphone quality control spans two very different jobs: verifying the finished device meets an SNR or sensitivity spec, and catching defects earlier at the wafer level before packaging cost is sunk. This dataset pulls records where the claims explicitly address sensitivity screening, SNR testing, acoustic test methods or wafer-level test, layered against the core MEMS/silicon microphone terminology and the H04R29, H04R19/04 and B81C99 classification codes.
Twenty-one families is a small, tightly-scoped corpus — this is a specific test-and-screening niche inside the much larger MEMS microphone field, not the whole device landscape. Publication lags filing by roughly 18 months, so the most recent one or two years in any trend chart will always understate real filing activity.
Filing trend and classification mix
Two views of the same 21-family corpus: how filing activity has moved year over year, and which classification codes carry the claims.
Filing trend, 2017–2026
Filings sat at zero in 2017, climbed to a peak of 5 in 2022, and the most recent year shows no filings — consistent with a maturing, narrow niche rather than an emerging one. Treat the final one to two years as undercounted given publication lag.
IPC subclass composition
H04R (loudspeakers and audio transducers) covers all 21 records, confirming the corpus is anchored in audio-transducer claims. B81B (MEMS microstructures) appears in 6 records and B81C (MEMS manufacturing) in just 1 — the fabrication and wafer-test side of quality control is comparatively under-claimed relative to the electrical test side.
Shares are the percentage of the 21 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.
Go deeper on MEMS Microphone Quality Control with Eureka
This page is one run against one query. Ask Eureka your own question about mems microphone quality control and every answer comes back with the patent numbers behind it.
Try EurekaThe records other filings cite
US9161112B2 — Single-wire programmable MEMS microphone, programming method and system thereof
The present invention provides a single wire programmable Micro Electromechanical System (MEMS) microphone and a programming method and system thereof. The single wire programmable MEMS microphone includes an MEMS sensor and an Application Specific Integrated Circuit (ASIC) chip connected to each other; the MEMS sensor is used for implementing acoustic-electric conversion; the ASIC chip includes an OUT interface, so that an upper computer judges, according to an output signal of the OUT interface, whether the ASIC chip is in a normal start mode or a programming mode, where if the output signal of the OUT interface is at a high level, the ASIC chip is in the normal start mode, and otherwise, the chip enters programming mode.Filed by Shanghai Sniper Microelectronics, dated 2015-10-13 — one of the two highest-cited records in this corpus.
| # | Publication no. | Patent title | Citations |
|---|---|---|---|
| 1 | US20160198276A1 | Low-cost method for testing the signal-to-noise ratio of MEMS microphones | 17 |
| 2 | US9161112B2 | Single-wire programmable MEMS microphone, programming method and system thereof | 15 |
| 3 | WO2016111983A1 | Low-cost method for testing the signal-to-noise ratio of MEMS microphones | 6 |
| 4 | US20230114156A1 | Apparatus and method for MEMS microphone performance via back volume | 5 |
| 5 | US9743205B2 | Low-cost method for testing the signal-to-noise ratio of MEMS microphones | 4 |
| 6 | CN210274533U | 硅麦声学测试设备 | 2 |
Citation counts are drawn from within this searched corpus and favour older filings; read them as a signal of influence on later applicants, not as a ranking of current relevance.
Patent titles are shown in the language they were filed in, not translated, so that each record stays verifiable against the original filing — a translated title will not match in Eureka or in any national register. Publication numbers are shown where the record carries one (6 of 6 rows); clicking a row searches Eureka by that number.
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Three read-throughs from the citation table, the classification split and the filing trend, each pointing to a different kind of risk for a new filer.
One test method dominates the citation table
The three most-cited records in this corpus — a US case, its WO counterpart and a continuation — all describe the same low-cost SNR testing approach for MEMS microphones. That concentration means the influential prior art here is narrower than the citation count alone suggests: it is effectively one claim family cited three times over, not three independent inventions.
No sustained growth since the 2022 peak
Filing activity rose from zero in 2017 to a peak of five families in 2022, which is also the dataset's midpoint year — a flat-or-declining profile rather than an accelerating one. New entrants should not assume this is a fast-moving space; the claim space around SNR and sensitivity screening looks largely staked out already.
Wafer-level and fabrication claims are thin
Every record in this corpus touches H04R, but only one crosses into B81C (MEMS manufacturing) and six into B81B (MEMS microstructures). Quality-control claims here are overwhelmingly framed as electrical/acoustic test methods rather than as fabrication or wafer-process inventions, even though the search terms explicitly include wafer-level test.
Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to mems microphone quality control, with the prior art for and against each one.
| Assignee | Co-assignee | Shared families |
|---|---|---|
| Yutai Microelectronics Technology (Shanghai) Co., Ltd. | Yutai Technology Co., Ltd. | 1 |
Only one co-assignee pair appears in this corpus, linking two affiliated Yutai entities — there is little evidence of cross-company joint filing in this niche.
Who is filing, and who is not filing anymore
Six named assignees show up across the momentum data, spanning large diversified electronics firms and smaller specialist microphone makers — but none of them show any filings in the latest tracked year.
Established players have gone quiet recently
Harman, Bosch and Infineon all appear among the tracked assignees but each shows zero filings in the most recent year, alongside the two Yutai entities and a Shenzhen-based equipment maker. Given publication lag, some of this is an artefact of the data cut-off rather than a genuine stop in R&D — but the pattern across every tracked name is the same.
Joint filing is the exception, not the norm
The only co-assignee link in this corpus sits between two affiliated Yutai entities in Shanghai and Taiwan, suggesting an internal group-filing arrangement rather than an external collaboration. No other pairs of assignees co-file in this dataset.
Filing is concentrated in two receiving offices
The United States and the European Patent Office together receive the large majority of filings in this corpus, with single filings each in Austria, China and via the WIPO PCT route. A filer targeting this space should expect the densest prior art in US and EPO filings specifically.
| Assignee | Recent year | YoY |
|---|---|---|
| Harman International Industries | 0 | — |
| Robert Bosch GmbH (Germany) | 0 | — |
| Yutai Microelectronics Technology (Shanghai) Co., Ltd. | 0 | — |
| Yutai Technology Co., Ltd. | 0 | — |
| Infineon Technologies AG | 0 | — |
| Shenzhen Yishengde Machinery Equipment Co., Ltd. | 0 | — |
Where to take this
This landscape identifies where claim density sits today; the next step is testing a specific concept or claim draft against it.
Map a specific test method against the SNR lineage
The three most-cited records in this corpus share a single low-cost SNR testing approach. Before drafting around sensitivity or SNR screening, check how closely a new method tracks that lineage's specific claim language.
Explore in Patsnap EurekaProbe the wafer-level and B81C gap directly
Fabrication-side quality control claims are thin relative to the electrical-test side of this corpus. Run a targeted search on wafer-level defect screening and MEMS manufacturing test methods to confirm whether this gap is real or an artefact of the search string.
Explore in Patsnap EurekaQuestions practitioners ask
This landscape identifies 21 patent families published between 2015 and mid-2026 whose claims specifically address sensitivity screening, SNR testing, acoustic test or wafer-level test for MEMS, silicon or micromachined microphones. That is a narrow, well-defined niche rather than the full MEMS microphone device landscape, which is far larger. Because publication lags filing by roughly 18 months, the true count for the most recent one to two years is understated in any dataset pulled today.
The most-cited records in this corpus all trace to a single low-cost SNR testing method, filed as a US patent, a corresponding WO/PCT application and a related continuation. That concentration means the citation table is effectively dominated by one claim family rather than several independent inventors, so a freedom-to-operate check on SNR testing should start with that specific lineage rather than treating each cited record as separate prior art.
No — filings rose from zero in 2017 to a peak of five families in 2022, and the trend has not climbed further since, with the most recent tracked year showing no new filings. This looks like a maturing, already-claimed niche rather than an emerging one, though the last year or two of any patent trend is always undercounted due to publication lag. A new entrant should assume core SNR and sensitivity-screening claim space is largely occupied rather than open.
The clearest gap sits between the electrical/acoustic test side of this corpus, which is heavily claimed under H04R, and the fabrication side, where only one record falls under B81C (MEMS manufacturing) and six under B81B (MEMS microstructures). Wafer-level defect screening, back-volume performance tuning, and MEMS test-fixture designs all show lower filing density than sensitivity or SNR test methods. That said, low density in a 21-family corpus can also mean the search terms did not fully capture that branch, so it is worth a targeted follow-up search before relying on it as true white space.
Joint filing is rare in this corpus — there is exactly one co-assignee pair, linking two affiliated Yutai entities in Shanghai and Taiwan, which reads as an internal group-filing arrangement rather than an external partnership. No other assignee pairs co-file together in this dataset. This suggests that most quality-control test methods here are being developed and filed by single organisations rather than through joint ventures or research consortia.
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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.