Shape Memory Polymer Patents: Leaders, Trends & White Space 2026
- Filing has plateaued, not grown. the field peaked at 14 records in 2024 after a flat 2017-2022 stretch, with no leader adding filings in the latest year.
- The top 5 hold under a third. 48 of 157 records (30.6%) sit with the five leading assignees — concentrated enough to matter, but far from a monopoly.
- 3D printing is now central, not peripheral. 63 of 157 records (40.1%) carry an additive-manufacturing IPC class, alongside the 64.3% share still classified under core polymer compositions.
What the shape memory polymer patent record shows
Shape memory polymers occupy a narrow but persistent corner of materials patenting: 157 records published between 2015 and the 2026-07-31 data cut-off, spanning polymer chemistry, additive manufacturing and shaping processes. The search combines composition claims with functional language — recovery ratio, transition temperature, cyclic reliability, actuation stress — so the corpus captures both the base chemistry and the applied engineering built on top of it. Foundational patents from the early 2000s still carry the highest citation counts, a sign that the field’s chemistry basics were staked out well before the current filing window opened.
Filing activity has not grown over the coverage period: 2017 opened at 10 records and 2026 (partial) sits at 1, with a peak of 14 in 2024 and a flat midpoint of 11 in 2022. Because publication lags filing by roughly eighteen months, the most recent one or two years will always look thinner than they eventually turn out to be, but the trend across the full window is level rather than rising.
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Filing trends and technology composition
Two views of the same 157-record corpus: filing activity by year, and how records distribute across IPC subclasses. Because a single record can carry several IPC codes, the subclass shares below add up to well over 100% of the record total.
A decade of flat-to-declining filing
Filing opened at 10 records in 2017, climbed to a peak of 14 in 2024, and sat at a midpoint of 11 in 2022 — a pattern that reads as flat rather than growing once the understated final year or two is discounted for publication lag.
Polymer chemistry still anchors the field, additive manufacturing has caught up
C08L (polymer compositions) appears in 64.3% of the 157 records, the largest single class. B33Y (additive manufacturing) follows at 40.1%, ahead of B29C shaping processes at 35.7% — evidence that 4D-printing applications have moved from a niche use case to a mainstream filing target within this technology.
Shares are the percentage of the 157 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.
Go deeper on Shape Memory Polymers with Eureka
This page is one run against one query. Ask Eureka your own question about shape memory polymers and every answer comes back with the patent numbers behind it.
Try EurekaThe foundational filings still shaping freedom to operate
Ultrasound responsive shape memory polymer composites (WO2023137101A1)
The filing claims a composite built from a shape memory polymer plus an additive that raises the material's ultrasound-absorption characteristics relative to the same polymer without that additive. The composite is defined by its own transition temperature and undergoes a shape change from a temporary to a permanent form on heating.Filed by California Institute of Technology, published 2023-07-20.
| # | Publication no. | Patent title | Citations |
|---|---|---|---|
| 1 | US6388043B1 | Shape memory polymers | 1,117 |
| 2 | US6160084A | Biodegradable shape memory polymers | 914 |
| 3 | US6720402B2 | Shape memory polymers | 676 |
| 4 | WO1999042147A1 | Biodegradable shape memory polymers | 259 |
| 5 | WO1999042528A2 | Shape memory polymers | 169 |
| 6 | US20030055198A1 | Shape memory polymers | 139 |
| 7 | US20170360534A1 | Three-dimensional fabricating material systems and methods for producing layered dental products | 88 |
| 8 | EP2075279A1 | Production of shape memory polymer articles by molding processes | 40 |
| 9 | US20120213969A1 | Functionally Graded Shape Memory Polymer | 29 |
| 10 | WO2006071520A2 | Shape memory polymer orthodontic appliances, and methods of making and using the same | 25 |
Citation counts favour older filings simply because they have had more time to accumulate citations inside this searched corpus — read them as a signal of foundational influence, not of current commercial weight.
Each row carries its publication number; clicking a row searches Eureka by that number.
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Three patterns stand out once concentration, technology composition and citation age are read together.
Leadership is real but not exclusionary
The leading assignee holds 13 records and the fifth-ranked holds 7, giving the top five a combined 30.6% share of all 157 records in scope. That leaves a majority of the field spread across 86 ranked companies, many with only one or two filings.
The field has stopped accelerating
Filing peaked at 14 records in 2024 after sitting at a flat 11 in the 2022 midpoint, and none of the six most-active named assignees added a filing in the latest year. That pattern points to a maturing claim space rather than an emerging one.
4D printing has become a mainstream filing target
Additive manufacturing classes now appear alongside core polymer composition claims in a large share of the corpus, and shaping-process claims under B29C sit close behind at 35.7%. Composition chemistry (C08L, C08G, C08F) still anchors most filings, but the applied processing side has caught up.
Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to shape memory polymers, with the prior art for and against each one.
Who is filing, and where the collaboration sits
The ranked field runs to 86 companies, with the top ten collectively holding 78 of 157 records (49.7%). Co-filing pairs are sparse — only 10 identified across the corpus — and cluster around a small number of university-industry or lab-inventor relationships rather than broad industry consortia.
A university-anchored leadership tier
The leading position and much of the top ten skew toward research universities and national laboratories rather than product manufacturers, consistent with a field where foundational chemistry patents still draw the heaviest citations.
Fragmented below the leaders
Beyond the top ten's 49.7% combined share, filings spread thinly across dozens of assignees, many holding a single record. That leaves room for a new entrant to establish a defensible position in an adjacent application rather than contest the core chemistry.
Collaboration is narrow and specific
The strongest co-filing relationship links an inventor to a corporate assignee at 5 shared records; the next strongest pairs, at 3 shared records each, connect a university with a national research agency and two US federal-affiliated entities. There is no broad multi-party consortium pattern here.
| Assignee | Recent year | YoY |
|---|---|---|
| Memory Sciences, Inc. | 0 | — |
| Massachusetts Institute of Technology | 0 | — |
| Harbin Institute of Technology | 0 | — |
| Nanyang Technological University | 0 | — |
| 3M Innovative Properties Company | 0 | — |
| Cornell University | 0 | — |
| GKSS-Forschungszentrum Geesthacht GmbH | 0 | — |
| University of Connecticut | 0 | — |
Where to take this analysis
The dataset points to specific next steps depending on whether the goal is freedom-to-operate, licensing, or identifying a filing gap.
Check citation exposure before filing
The five most-cited records in this corpus date from the early 2000s and still anchor much of the field's foundational chemistry. Any new composition claim should be checked against these before drafting.
Run a citation check in EurekaMap the under-claimed branches
Additive-manufacturing and sterilisation-adjacent classes show lighter density than core composition claims. A targeted search across these branches can surface a clearer first-claim position.
Explore white space in EurekaTrack the flat filing trend by assignee
None of the most active named assignees added a filing in the latest year. Watching whether that changes over the next publication cycle indicates whether the field is entering a new filing wave or continuing to plateau.
Set up assignee monitoring in EurekaCommon questions on the shape memory polymer patent landscape
The ranked field covers 86 companies and research institutions, with the leading assignee holding 13 of the 157 records in scope. The top five combined hold 48 records, or 30.6% of the total, which is a meaningful lead but not a lockout of the field. Much of the top ten is made up of universities and national laboratories rather than product manufacturers, reflecting the field's roots in materials chemistry research.
Filing has been flat to declining across the coverage window: 2017 opened at 10 records, the 2022 midpoint sat at 11, and the field peaked at 14 records in 2024. Because publication typically lags filing by around eighteen months, the most recent one or two years in any dataset will always look thinner than they eventually turn out to be. Even accounting for that lag, the decade-long shape of the trend is level rather than accelerating.
Core polymer composition claims under IPC class C08L appear in 64.3% of the 157 records, making it the largest single technology area. Additive manufacturing (B33Y, 4D printing) follows closely at 40.1%, and shaping processes under B29C sit at 35.7%. Because records can carry multiple IPC classes, these shares overlap rather than sum to 100%, showing that most filings combine a composition claim with a processing or application claim.
Relative to the dense core composition and 4D-printing claim space, areas like cyclic reliability under repeated actuation, field- or ultrasound-triggered composite transitions, and sterilisable formulations for implantable devices show comparatively lighter filing density. These are not gaps in the sense of being unclaimed entirely, but they carry fewer competing filings than the core chemistry classes, which gives a new entrant more room to establish a distinct first claim.
The five most-cited records in this corpus are all early filings, led by a patent cited 1,117 times and another cited 914 times, both filed around the early 2000s. High citation counts in a searched corpus like this favour older documents simply because they have had more years to accumulate citations, so they should be read as markers of foundational influence on later filings rather than indicators of current commercial activity.
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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.