https://www.patsnap.com/resources/blog/rd-blog/nickel-superalloy-design-optimization-patent-landscape/ · Patsnap · data cut-off 2026-07-31 · downloaded from the live page
Patent Landscape 2026
Nickel Superalloy Design Optimization Patent Landscape
  • 97 of 100 families claim alloy composition (C22C) while only 66 pair that with a turbine part (F01D) — most surviving claims narrow the recipe to a specific component, not a new base chemistry.
  • Filing peaked in 2020 at 27 and flattened by the 2022 midpoint at 22, suggesting the core composition space is filling in rather than expanding.
  • Process-side claims are thin additive manufacturing (3 records) and powder metallurgy (5) trail far behind composition claims, leaving process-composition combinations under-defended.
Get a prior-art report on your approach
100
Published Records
-50%
Filing Growth 2021→2024
EP
Leading Jurisdiction
22
Active Filers Ranked

Filing growth compares 2021 (6 records) with 2024 (3) — 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.

Published byPatsnap Research··7 min readSourced from Patsnap Eureka
Overview

A composition-heavy field approaching a plateau

Nickel superalloy design optimization patents concentrate overwhelmingly on alloy composition claims: 97 of 100 families in this dataset sit in the C22C alloys subclass, and two-thirds of those also claim a turbine or non-positive-engine component under F01D. That pairing — a defined weight-percent recipe tied to a named part, usually a single-crystal blade — is the field's dominant claim shape, and it is the shape the most recent representative filing follows exactly. Crystal growth, heat treatment and coating subclasses hold smaller, steadier shares, while additive manufacturing and powder metallurgy remain in single digits despite a 100-family base.

Filing activity rose to a peak of 27 records in 2020 and has since flattened, sitting at 22 by the 2022 midpoint. Because publication typically lags filing by around 18 months, the most recent year in any such trend understates real filing activity — but the multi-year plateau itself, not just the last data point, is the signal that the core composition space is filling in.

Filing trend and IPC composition, 2017–2026
  1. 1SAFRAN SA83
  2. 2CENT NAT DE LA RECH SCI (C N R S)36
  3. 3OFFICE NAT DETUDES & DE RECH AEROSPATIALES21
  4. 4UNIV DE NANTES19
  5. 5UNIV DE POITIERS17
  6. 6SAFRAN AIRCRAFT ENGINES SAS12
  7. 7ECOLE NAT SUPERIEURE DE MECANIQUE AEROTECHN10
  8. 8ECOLE NAT SUPERIEURE DARTS & METIERS (ENSAM)5
  9. 9UNIV OF SCI & TECH BEIJING4
  10. 10SHANGHAI POWER EQUIPMENT RESEARCH INSTITUTE CO LTD4
Source: Patsnap Eureka. Assignee ranking and totals. Derived from a Patsnap search on Nickel Superalloy Design Optimization 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
Filing Data

Filing trend and technology mix

Publication counts by year and by IPC subclass show where nickel superalloy design activity has concentrated and where it has stayed thin.

Filings peaked in 2020, then flattened

Filings rose from zero in 2017 to a peak of 27 in 2020, held near that level through the 2022 midpoint of 22, and the most recent year is still partial under the usual 18-month publication lag — so the apparent flattening understates whatever filed in the last reporting window.

Filings peaked in 2020, then flattened0815233002017201820192720202021202220232024202502026Most recent year is partial — publication lag means later filings are not yet visible.

Composition claims dominate; process claims trail

C22C (alloys) covers 97 of 100 records and F01D (turbines) covers 66, confirming that most claims pair an alloy recipe with a turbine component. Crystal growth, heat treatment and coating subclasses each hold a modest slice, while powder metallurgy and additive manufacturing remain single-digit — occupied claim space at the composition level, largely open at the process level.

Composition claims dominate; process claims trailC22C · Alloys9797.0%F01D · Turbines & non-positive engines6666.0%C30B · Crystal growth1414.0%C22F · Non-ferrous metal treatment1212.0%C23C · Coating & surface deposition99.0%B23P · Metal working (general)77.0%B22F · Powder metallurgy55.0%B33Y · Additive manufacturing (3D pri…33.0%Other1818.0%

Shares are the percentage of the 100 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 Nickel Superalloy Design Optimization covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.

Go deeper on Nickel Superalloy Design Optimization with Eureka

This page is one run against one query. Ask Eureka your own question about nickel superalloy design optimization and every answer comes back with the patent numbers behind it.

Try Eureka
Key Patents

Representative and most-cited filings

Representative filing
US20240344180A12024-10-17

US20240344180A1 — Nickel-based superalloy, single-crystal blade and turbomachine

SAFRAN

A nickel-based superalloy comprises in weight percentages: 5.4 to 6.0% of aluminium, 7.5 to 9.0% of tantalum, 0.10 to 0.25% of titanium, 5.5 to 7.5% of cobalt, 4.0 to 5.5% of chromium, 0.10 to 0.70% of molybdenum, 4.0 to 5.0% of tungsten, 4.8 to 6.2% of rhenium, 0.04 to 0.15% of hafnium, 0 to 0.15% of silicon, the remainder consisting of nickel and unavoidable impurities. The invention also relates to a single-crystal blade comprising such an alloy and to a turbomachine comprising such a blade.Filed by SAFRAN, published 2024-10-17. Illustrates the field's typical claim structure: a tightly bounded weight-percent recipe tied to a specific single-crystal blade and turbomachine use.

US20240344180A1 — patent drawing 1
View full filing
Most-cited records in this dataset
#Publication no.Patent titleCitations
1JP2014070230AMETHOD FOR PRODUCING Ni-BASED SUPERALLOY22
2EP3109331A1High-temperature nickel-based alloy for 700°c grade ultra-supercritical coal-fired power station and preparat…14
3CN112289390A基于数据驱动多组元高温合金持久蠕变性能的评估方法8
4CN112185488A基于数据驱动多组元镍基高温合金γ`相演化的预测方法7
5GB2579580AA nickel-based alloy6
6IN202017020003ANickel-based superalloy, single-crystal blade and turbomachine3
7CN112262221A镍基超合金、单晶叶片和涡轮发动机3
8WO2019097163A1Nickel-based superalloy, single-crystal blade and turbomachine3
9US11396685B2Nickel-based superalloy, single-crystal blade and turbomachine3
10WO2019097162A1Nickel-based superalloy, single-crystal blade and turbomachine3

Citation counts favour older records simply because they have had more time to be cited; treat this as a signal of past influence, not current filing priority.

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 Nickel Superalloy Design Optimization 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
Run it yourself

Put your own technology through the same analysis


  
Where to run it
Fastest

Eureka on the web

When you want the answer in the next five minutes.

The agent works the prompt against patents and technical literature, citing every source.

Run your analysis now →
For builders

MCP server & REST API

When it has to run inside your own pipeline.

Patent search, landscape analysis and assignee resolution as MCP tools. Drop them into any agent framework, or call REST directly.

Browse MCP servers →
Analysis

What the filing pattern means for R&D and IP strategy

The numbers point to a field where the composition space is well-mapped and the process space is not — a distinction that matters for where new claims can still land.

Claim density
97/100
records in C22C

Composition space is nearly saturated

Almost every family in this dataset touches alloy composition claims. New entrants need a genuinely narrow compositional window, a novel element combination, or a tie to an under-claimed process step to clear the existing art.

Source: IPC subclass distribution
Growth signal
27 → 22
peak (2020) to midpoint (2022)

Flat, not accelerating

The filing trend rose to a 2020 peak and has since held roughly steady rather than climbed, consistent with a maturing composition-design field where remaining moves are incremental. The most recent year is still partial under normal publication lag.

Source: filing trend 2017–2026
Process gap
3 & 5
B33Y and B22F record counts

Additive and powder routes are underfiled

Against a 97-record composition base, additive manufacturing and powder metallurgy claims are a rounding error. That gap is where combination claims — composition plus process — have the most room to be both novel and defensible.

Source: IPC subclass distribution
Collaboration depth
34 families
strongest co-assignee pair

Aerospace-academic clusters dominate the top of the field

The strongest co-assignee link ties an aerospace group to a national research centre across 34 shared families, and two more pairs each reach 19 — a small number of tightly integrated research clusters, not a broad competitive field.

Source: co-assignee pairs
Eureka AI Agent
Looking for what nobody has claimed yet?

Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to nickel superalloy design optimization, with the prior art for and against each one.

Find the white space →
Who is filing together
AssigneeCo-assigneeShared families
SafranFrench National Centre for Scientific Research (CNRS)34
SafranFrench National Aerospace Research Centre (ONERA)19
SafranUniversity of Nantes19
French National Centre for Scientific Research (CNRS)University of Nantes19
SafranUniversity of Poitiers15
French National Centre for Scientific Research (CNRS)University of Poitiers15
SafranSafran Aircraft Engines12
SafranECOLE NAT SUPERIEURE DE MECANIQUE AEROTECHN8

Co-assignee activity concentrates around one aerospace group and its recurring academic and national-lab partners, rather than spreading across many independent pairs.

Source: Patsnap Eureka. Co-assignee relationships and derived observations. Derived from a Patsnap search on Nickel Superalloy Design Optimization 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
Landscape

Who is filing, and where the field is still open

A small cluster of aerospace and research assignees anchors the top of this field, filing jointly rather than competing head-on, while several process-side branches remain thin enough for new entrants to stake a claim.

Lead cluster
34 families
top co-assignee pair

An aerospace-academic core

The strongest collaboration links a major aerospace group with a national research centre across 34 shared families, with two further pairs each reaching 19 — the top of this field is a small, tightly connected cluster rather than a wide competitive set.

Co-assignee pairs: 10 total
Geographic filing
24
EPO-received records

Europe leads receiving offices

Europe (EPO) receives the largest share of filings, ahead of the United States, China, WIPO/PCT, India and Austria, indicating that key applicants are pursuing broad regional coverage alongside national filings.

Receiving offices: EPO 24, US 17, CN 15, WIPO 13, IN 11, AT 8
Momentum
0 in latest year
across leading assignees

Top assignees show no latest-year filings

Every leading assignee in this dataset shows zero filings in the most recent year, consistent with the overall trend flattening and with normal publication lag rather than a sign these groups have exited the field.

Recent-year momentum by assignee
Citation influence
22 citations
top-cited record

Influence sits with older filings

The most-cited record in this dataset dates from 2014, a reminder that citation counts favour records that have had more years to accumulate citations rather than records that are currently shaping filing strategy.

Most-cited records table
🔍
Under-claimed sub-areas worth checking before filing
These branches show low record counts against the 100-family base — thin enough that a well-drafted combination claim has room to stand.
Additive-manufactured single-crystal blade geometriesPowder-consolidation parameter windows for Ni-superalloy powdersData-driven γ' phase evolution prediction methodsComposition-plus-heat-treatment combination claimsCrystal-growth parameter sets tied to narrow composition bands
Rank all filers by momentum →
Recent-year filing momentum by assignee
AssigneeRecent yearYoY
Safran0
French National Centre for Scientific Research (CNRS)0
French National Aerospace Research Centre (ONERA)0
University of Nantes0
University of Poitiers0
Safran Aircraft Engines0
ECOLE NAT SUPERIEURE DE MECANIQUE AEROTECHN0
ECOLE NAT SUPERIEURE DARTS & METIERS (ENSAM)0
Source: Patsnap Eureka. Assignee-level momentum. Derived from a Patsnap search on Nickel Superalloy Design Optimization 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
Next Steps

Where to take this analysis

The filing pattern points to specific next checks before committing R&D or filing budget to a given branch.

Check composition ranges against the densest prior art

Before drafting a new composition claim, run the target weight-percent ranges against the most-cited records to see how much room actually remains inside the C22C claim space.

Run a prior-art check in Eureka

Model the under-claimed process combinations

Additive manufacturing and powder metallurgy claims are thin relative to the composition base — test whether a process-plus-composition combination clears freedom-to-operate before scaling a build.

Explore white space in Eureka
Source: Patsnap Eureka. Forward-looking reading of the same dataset. Derived from a Patsnap search on Nickel Superalloy Design Optimization 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
Questions

Frequently asked questions

Answers are grounded in the same dataset. Derived from a Patsnap search on Nickel Superalloy Design Optimization 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

Research Nickel Superalloy Design Optimization in depth with Eureka

Go past this page: query the whole nickel superalloy design optimization corpus yourself, in your own scope.
Every answer comes back with patent numbers you can open.

Try Eureka

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.