Smart Bedding Patents: Who Leads, Where the Gaps Are 2026
- 69.6% concentration. The top 5 of 12 ranked assignees hold 16 of the 23 records in scope — a field with a defined leading group rather than a wide-open race.
- +500% filing growth. Filings rose from 1 in 2021 to 6 in 2024, the peak year so far, before the usual 18-month publication lag thins out the 2025-2026 count.
- A47C dominates, G16H is thin. 73.9% of records sit in beds/mattresses (A47C) while only 21.7% touch healthcare informatics (G16H) — the sensing-to-software link is comparatively unclaimed.
Filing growth compares 2021 (1 records) with 2024 (6) — 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 23 records in scope (CR5), not by the ranked leaders only.
What this landscape covers
Smart bedding and sleep-environment control sits at the intersection of furniture engineering, materials science and personal health monitoring. The search scope spans 23 published records filed against terms covering smart mattresses, temperature-regulating bedding, thermal comfort, phase-change materials, zoned firmness and sensor integration. It is a small, young corpus: filing activity was negligible before 2021 and only became a discernible trend from 2021 onward.
Because the field is early-stage, a handful of assignees account for most of the activity, and the technical classification skews heavily toward mechanical bed and mattress structures rather than the health-informatics layer that would sit on top of them. That gap between structure and software is one of the more decision-relevant signals in the dataset.
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Filing trend and technology composition
Two views of the same 23 records: how filing activity has moved year over year, and which IPC subclasses the claims actually sit in.
Filing trend, 2017-2026
Filings moved from a flat 0 in 2017 to a peak of 6 in 2024, with 2021's single filing marking the start of sustained activity — a +500% rise to 2024. Treat 2025 and 2026 as undercounts rather than a slowdown, since publication typically lags filing by around 18 months.
IPC subclass distribution
A47C (chairs, sofas and beds) covers 73.9% of the 23 records, confirming that most claims still describe the physical bed or mattress structure. A61B (diagnosis and surgery) at 34.8% and G16H (healthcare informatics) at 21.7% show a smaller but real push toward biometric sensing and data processing layered onto that structure. Because records can carry multiple IPC codes, these shares sum to more than 100% of the record total.
Shares are the percentage of the 23 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.
Go deeper on Smart Bedding and Sleep Environment with Eureka
This page is one run against one query. Ask Eureka your own question about smart bedding and sleep environment and every answer comes back with the patent numbers behind it.
Try EurekaRepresentative filing and citation leaders
Personalized pillow and/or mattress selection (US20230404286A1)
Processes for personalizing a mattress or pillow for a consumer generally includes analyzing data identifying one or more target areas based on surface temperature and/or pressure on a consumer's existing mattress and additively manufacturing a lattice structure to address the one or more target areas so to provide support, pressure point relief, and/or a desired temperature modulation.Filed by Dreamwell, Ltd., published 2023-12-21 — ties surface temperature and pressure sensing directly to an additively-manufactured lattice response.
| # | Publication no. | Patent title | Citations |
|---|---|---|---|
| 1 | US11253079B1 | Multi-zone adjustable bed with smart adjustment mechanism | 14 |
| 2 | CN112987585A | 适用于居住房间的睡眠环境控制系统及方法 | 3 |
| 3 | US20230404286A1 | Personalized pillow and/or mattress selection | 2 |
| 4 | CN2227926Y | 自动调温被褥 | 2 |
Citation counts favour older records simply by virtue of being searchable longer; they signal influence within this corpus, not current commercial importance.
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 (4 of 4 rows); clicking a row searches Eureka by that number.
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Three findings stand out once the filing trend, technology composition and citation pattern are read together.
A defined leading group, not an open field
With 16 of 23 records held by the five leading assignees, and 91.3% held by the top 10, this is not a landscape with dozens of equally-weighted competitors. New entrants are filing into a space where a small group already holds most of the mechanical bed and mattress claims.
Growth is real but the corpus is still small
The rise from 1 filing in 2021 to 6 in 2024 is a genuine acceleration, not noise, but the base is small enough that a handful of new filings from any single assignee could reorder the ranking. The 2025-2026 figures are undercounts given typical publication lag.
Sensing hardware is ahead of the software layer
A47C claims (73.9% of records) describe the physical bed; comparatively few records extend into G16H informatics or G06F data processing (13.0%). The link between in-bed sensors and downstream health analytics is thinner than the sensing hardware itself.
Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to smart bedding and sleep environment, with the prior art for and against each one.
Who is filing, and where the claim space is still open
Twelve assignees make up the entire ranked list this dataset returns. Filing activity clusters around a leading handful, with a long tail of single- or double-filing entrants including university and institutional applicants.
One assignee sets the pace
The leading assignee holds 5 of the 23 records in scope, ahead of a group clustered around 2 records at fifth place. That gap between first and the rest of the top group suggests an early but genuine head start rather than a tie.
Institutional and university filers round out the field
Beyond the leading group, filers include engineering colleges and university research groups alongside individual inventors, each holding small numbers of records. This pattern is typical of an early-stage field where academic labs are testing claim territory ahead of scaled commercial filing.
Momentum has shifted away from earlier filers
Several assignees that filed in prior years show 0 filings in the latest year, some down -100% year over year, while one institutional filer recorded the only new filing in the latest year. This suggests the leading group's early advantage has not translated into sustained recent output.
| Assignee | Recent year | YoY |
|---|---|---|
| PANIPAT INST OF ENG & TECH PIET | 1 | — |
| PROHIBITION X PTE LTD | 0 | — |
| Junwei Company | 0 | — |
| JIS COLLEGE OF ENG | 0 | -100% |
| IFUTURELAB INC | 0 | -100% |
| Embr Labs IP LLC | 0 | — |
| Zhao Yuxian | 0 | — |
| Lovely Professional University | 0 | — |
Where to take this analysis
The dataset points to specific next steps depending on whether the goal is freedom-to-operate, white-space claim drafting, or monitoring a competitor.
Check claim scope before filing into A47C
With 73.9% of records already in the bed/mattress structural class, a freedom-to-operate review of the leading assignees' independent claims is worth doing before drafting new structural claims.
Explore claims in Eureka →Draft into the informatics gap
The thinness of G16H and G06F coverage relative to A47C suggests room for claims that tie in-bed sensor data to specific health-informatics outputs.
Map white space in Eureka →Track the leading assignee's filing cadence
Given the concentration at the top of the ranking, monitoring the leader's publication cadence gives early warning of where the claim space will tighten next.
Set up monitoring in Eureka →Common questions about smart bedding patents
Within this dataset of 23 records, filing activity is concentrated: the top 5 of 12 ranked assignees together hold 16 records, or 69.6% of the total in scope. The leading assignee alone holds 5 records, with fifth place at 2. Beyond the top 10, which together hold 91.3% of records, the remaining assignees each hold only one or two filings, including several university and engineering-college applicants.
Filings rose from 1 in 2021 to 6 in 2024, a +500% increase over that three-year span, with 2024 standing as the peak year in the dataset so far. That said, this is still a small corpus, and figures for 2025 and 2026 should be read as undercounts rather than a slowdown, since patent publication typically lags the actual filing date by around 18 months.
Nearly three-quarters of records (73.9%) fall under IPC class A47C, covering chairs, sofas and bed structures — meaning most claims describe the physical mattress or bed mechanism. Smaller shares extend into A61B diagnosis and surgery (34.8%) and G16H healthcare informatics (21.7%), reflecting a secondary but real trend toward biometric sensing and data-driven personalization layered on top of the physical bed.
The clearest gap sits between sensing hardware and the informatics layer: A47C structural claims outnumber G16H healthcare-informatics claims by a wide margin (73.9% versus 21.7% of the 23 records). Sub-areas such as phase-change material zoning, cleaning-requirement sensing and perceived-benefit feedback loops also show low filing density relative to the core structural claims, making them candidates for first-mover claim drafting rather than crowded territory.
US20230404286A1, filed by Dreamwell, Ltd. and published 2023-12-21, describes analyzing surface temperature and pressure data from a consumer's existing mattress and additively manufacturing a lattice structure to address specific target areas for support, pressure relief and temperature modulation. It is one of the more cited records in this corpus and ties sensor-derived personalization directly to a manufactured physical response, which makes its claim boundaries a relevant reference point for anyone drafting personalization or lattice-structure claims in this space.
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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.