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Shape-Memory Alloy 3D Printing Patents: Who Leads, Trends 2026

Shape-Memory Alloy 3D Printing Patents: Who Leads, Trends 2026
https://www.patsnap.com/resources/blog/rd-blog/shape-memory-alloy-additive-manufacturing-patent-landscape/ · Patsnap · data cut-off 2026-07-31 · downloaded from the live page
Patent Landscape · Advanced Materials & Metallurgy
Shape-Memory Alloy Additive Manufacturing Patents
  • Filing activity has plateaued, not grown. the peak year so far is 2022 at 16 families, with the trend flat to declining since — this is a technology that occupied its claim space early rather than one still accelerating.
  • China dominates the filing venue. 40 of the tracked receiving-office filings are in China against 8 in the United States, meaning most prior art here is Chinese-language and needs local search coverage.
  • Co-filing is concentrated in one cluster. the strongest co-assignee pairs all involve South China University of Technology, its ceramics/hardware partner and a cancer-hospital research institute — an unusual materials-plus-medical pairing worth watching.
Get a prior-art report on your approach
55
Published Records
-14%
3-Yr Growth (lag-adjusted)
CN
Leading Jurisdiction
27
Active Filers Ranked
Published byPatsnap Research··7 min readSourced from Patsnap Eureka
Overview

What this landscape covers

This dataset tracks patent families at the intersection of shape-memory alloys — nickel-titanium (NiTi/nitinol) systems above all — and additive manufacturing processes such as laser powder bed fusion. The search combines shape-memory alloy terminology with 4D-printing and printed shape-memory structure language, restricted to B22F (powder metallurgy), B33Y (additive manufacturing) and C22C (alloys) IPC classes. It captures both the metallurgical composition side of the field and the process side — how the powder is atomised, sintered or laser-fused into a shape-memory structure with programmed transformation behaviour.

Fifty-five families sit inside the window from 2015 through the 2026 cut-off, with publication lagging filing by roughly 18 months — so the most recent year understates true filing activity. Every record in the set also touches B33Y, confirming the search is tightly centred on additive processes rather than shape-memory alloys generally.

Filing activity and IPC composition, 2015–2026
  1. 1SOUTH CHINA UNIV OF TECH22
  2. 2GUANGDONG HUAYI SANITARY WARE IND CO LTD11
  3. 3INST OF METAL RESEARCH – CHINESE ACAD OF SCI6
  4. 4SUN YAT SEN UNIVERSITY CANCER CENTER (CANCER HOSPITAL AFFILIATED TO SUN YAT SEN UNIVERSITY CANCER RESEARCH INSTITUTE OF SUN YAT SEN UNIVERSITY)5
  5. 5NEWSOUTH INNOVATIONS PTY LTD4
  6. 6Shandong Kangsheng Medical Devices Co., Ltd.3
  7. 7CHINA UNIV OF GEOSCIENCES (WUHAN)2
  8. 8GUANGZHOU LEIJIA TECH CO LTD2
  9. 9BEIJING INST OF ELECTRONICS SYST ENG2
  10. 10CENT SOUTH UNIV2
Source: Patsnap Eureka. Assignee ranking and totals. Derived from a Patsnap search on Shape-Memory Alloy Additive Manufacturing covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP

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The data

Filing trend and technology composition

Two views of the same 55-family dataset: how filing has moved year over year, and which IPC subclasses carry the claim weight.

Filing trend, 2017–2026

Filings were negligible before 2020, rose to a peak of 16 in 2022, and have since flattened. With 2022 as the midpoint of activity and no sustained rise afterward, the field reads as an early land-grab that has not been followed by a second wave — though the 2025-2026 figures are still incomplete due to publication lag.

Filing trend, 2017–20260510152002017201820192020202116202220232024202502026Most recent year is partial — publication lag means later filings are not yet visible.

IPC subclass distribution

B33Y (additive manufacturing) covers all 55 records by construction of the search, and B22F (powder metallurgy) appears in 47 of them, confirming that powder-based processes — not wire-fed or other AM routes — are the dominant fabrication path. C22C (alloys) at 35 shows composition claims are nearly as common as process claims. Smaller counts in A61L, A61F and A61B point to a real but minority medical-implant application layer sitting on top of the core materials and process work.

IPC subclass distributionB33Y · Additive manufacturing (3D pri…55100.0%B22F · Powder metallurgy4785.5%C22C · Alloys3563.6%A61L · Sterilising & disinfecting814.5%C22F · Non-ferrous metal treatment610.9%B23K · Welding, soldering & brazing47.3%A61F · Implants & prostheses23.6%A61B · Diagnosis & surgery11.8%Other1120.0%

Shares are the percentage of the 55 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.

Source: Patsnap Eureka. Filing trend and technology composition. Derived from a Patsnap search on Shape-Memory Alloy Additive Manufacturing covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.

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Key patents

Most-cited records in the corpus

Representative filing
US20210394268A12021-12-23

4D printing method and application of titanium-nickel shape memory alloy

SOUTH CHINA UNIVERSITY OF TECHNOLOGY

A 4D printing method for a titanium-nickel shape memory alloy, and the titanium-nickel shape memory alloy and application thereof. Pure titanium and pure nickel are mixed and smelted, and titanium-nickel alloy bars are obtained; then alloy powder is prepared by means of a rotating electrode atomization method, the powder is sieved, and titanium-nickel alloy powder having a grain size of 15-53 μm is obtained; and the obtained titanium-nickel alloy powder is placed in a discharge plasma auxiliary ball mill to be subjected to discharge treatment, the powder is subjected to surface modification, and finally the titanium-nickel shape memory alloy is formed by means of SLM forming.Filed by South China University of Technology, published as US20210394268A1, dated 2021-12-23.

US20210394268A1 — patent drawing 1
View full filing
Highest-citation families
#Publication no.Patent titleCitations
1CN111842888A一种镍钛基三元形状记忆合金的4D打印方法39
2CN115070052A一种新型双态组织镍钛形状记忆合金及其4D打印制备方法与应用10
3CN113210626A一种4D打印功能梯度钛镍形状记忆合金构件的方法10
4US20210394269A14d printing method for in-situ regulation of functional properties of nickel-titanium alloy and use thereof10
5JP2022169459AUltrahigh-superelasticity titanium-nickel shape memory alloy with sequentially structured functional unit, an…9
6US20230415234A1NiTiHf High Temperature Shape Memory Alloy with Two-Way Shape Memory Effect, and 4D Printing Method and Appli…8
7CN112222398A一种DLP成形形状记忆合金制件的4D打印方法8
8US20210394268A14d printing method and application of titanium-nickel shape memory alloy8
9CN114346259A一种记忆功能稳定适合人体承载植入物的镍钛形状记忆合金及其4D打印方法与应用7
10CN111151756A一种形状记忆合金管接头的4D打印快速制造方法及产品7

Citation counts inside this corpus favour older filings, since they have had longer to accumulate citations — read them as a signal of technical influence within the set, not as a ranking of 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. Each row carries its publication number; clicking a row searches Eureka by that number.

Source: Patsnap Eureka. Citation counts and representative records. Derived from a Patsnap search on Shape-Memory Alloy Additive Manufacturing covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
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Insights

What the numbers mean for a filing decision

Reading the trend and citation data together points to where claim space is dense and where it is thin.

Filing momentum
Peak 16 (2022)
families in the peak year

A plateau, not a growth curve

With the midpoint of activity in 2022 and no sustained increase since, new entrants are filing into a space where the core process claims — powder atomisation, SLM/LPBF forming, phase-composition control — are already staked out. Differentiation now has to come from a specific alloy variant or a specific application, not from the base process.

Based on the 2017-2026 filing trend
Geographic concentration
40 of 55 filings
routed through China

China is the primary prior-art venue

The receiving-office split shows China carrying the large majority of filings, with the United States, WIPO/PCT, Japan, Australia and India accounting for the rest. Freedom-to-operate work in this field has to include Chinese-language search and cannot rely on English-language databases alone.

Receiving office counts
Citation leader
Cited 39
top-cited family

One filing anchors the citation graph

The most-cited record in the set — a ternary NiTi-based shape-memory alloy 4D-printing method — is cited roughly four times more than the next tier. That gap suggests it defined vocabulary or a reference process that later filers had to cite around, making it a useful starting point for any freedom-to-operate review.

Most-cited records table
Process vs. composition split
47 vs. 35
B22F vs. C22C record counts

Process claims outnumber composition claims

Powder-metallurgy process claims (B22F) appear in more records than alloy-composition claims (C22C), meaning the fabrication route itself — how the powder is made, sintered or laser-fused — is more heavily claimed than the specific alloy chemistry. New composition variants may have more room than new process tweaks.

IPC subclass distribution
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Looking for what nobody has claimed yet?

Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to shape-memory alloy additive manufacturing, with the prior art for and against each one.

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Source: Patsnap Eureka. Co-assignee relationships and derived observations. Derived from a Patsnap search on Shape-Memory Alloy Additive Manufacturing covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
Who's filing

Assignee landscape and collaboration patterns

Filing here is led by Chinese university and research-institute assignees, often working with an industrial or clinical co-assignee rather than filing solo.

Lead research assignee
Strongest co-pair: 10
South China University of Technology + Guangdong Huayi sanitary ware

South China University of Technology anchors the strongest cluster

Its pairing with a sanitary-ware manufacturer and a cancer-hospital research institute is the densest co-assignee relationship in the set, suggesting the university's NiTi 4D-printing work is being routed into both a consumer-hardware application and a medical-implant application in parallel.

Co-assignee pair strength
Momentum check
0 in latest year
across every tracked assignee

No assignee shows current-year momentum

Every assignee tracked for recent-year activity, including the most active historical filers, shows zero filings in the latest year — consistent with the plateau seen in the overall trend rather than a single company slowing down.

Recent-year momentum by assignee
Collaboration structure
9 co-assignee pairs
across 55 families

Collaboration is real but narrow

Nine identified co-assignee pairs across 55 families show that joint filing is a meaningful minority pattern here, concentrated around one university's partnerships rather than spread evenly across the field.

Co-assignee pairs
🔍
Under-claimed sub-areas
Branches with thin coverage relative to the core NiTi/LPBF process claims
multi-material 4D-printed SMA structuresfunctionally graded NiTi-Ti componentsin-situ property regulation during printingSMA sterilisation & biocompatible surface treatmentwire-arc or DED shape-memory fabricationpost-print heat-treatment control for transformation temperature
Rank all filers by momentum →
Recent-year filing momentum by assignee
AssigneeRecent yearYoY
South China University of Technology0
Guangdong Huayi Sanitary Ware Industrial Co., Ltd.0
Institute of Metal Research, Chinese Academy of Sciences0
Sun Yat-sen University Cancer Center (Sun Yat-sen University Cancer Hospital / Cancer Institute)0
Sinn Nam Innovation Co., Ltd.0
Shandong Kangsheng Medical Devices Co., Ltd.0-100%
Guangzhou Leijia Additive Technology Co., Ltd.0
Tianjin University0
Source: Patsnap Eureka. Assignee-level momentum. Derived from a Patsnap search on Shape-Memory Alloy Additive Manufacturing covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
What's next

Where to take this analysis

The dataset points to specific next steps for teams deciding where to file or where to watch.

Map the LPBF process claims in detail

With B22F present in 47 of 55 records, a claim-by-claim breakdown of powder preparation and laser-fusion parameters will show exactly how tight the process space really is before committing to a new filing.

Explore in Eureka

Track the South China University of Technology cluster

Its co-assignee relationships span sanitary hardware and clinical research, an unusual pairing that may signal where NiTi 4D-printing commercialisation is actually heading.

Explore in Eureka

Build out Chinese-language freedom-to-operate coverage

With 40 of 55 filings routed through China, any clearance search that skips Chinese-language sources is working from an incomplete picture.

Explore in Eureka
Source: Patsnap Eureka. Forward-looking reading of the same dataset. Derived from a Patsnap search on Shape-Memory Alloy Additive Manufacturing covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
FAQ

Common questions on this landscape

Answers are grounded in the same dataset. Derived from a Patsnap search on Shape-Memory Alloy Additive Manufacturing covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP

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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.

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