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Nickel Superalloy Simulation Patent Landscape 2026

Nickel Superalloy Simulation Patent Landscape 2026
Competitive Landscape
Nickel Superalloy Simulation Patent Landscape in 2026

The nickel superalloy simulation patent space is highly concentrated, with a French aerospace-academic consortium anchored by Safran SA commanding the dominant share of activity across alloy design and turbine component simulation. The field reached its peak filing volume in 2020 and has since eased, though publication lag means the most recent two years are still filling in.

97
Patent families in scope
75%
Top-5 share of top-100 filers
-12%
3-yr filing growth (lag-adj.)
Europe (EPO)
Leading jurisdiction
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Published byPatsnap Insights Team··6 min readVerified by Patsnap Eureka data
Overview

Safran leads a tightly held, France-centric niche

Safran SA holds the top position by a wide margin, ranking first among all applicants and accounting for a commanding share of the active portfolio. The top five filers together account for 75% of the hundred largest filers’ combined total, signaling an unusually concentrated competitive structure for an engineering simulation topic.

The gap between the first tier (Safran SA and CNRS) and the rest of the field is substantial. Academic institutions — the University of Nantes, the University of Poitiers, and ONERA — fill the next tier, reflecting a research-intensive, consortium-driven model rather than a broad multi-industry race.

Leading applicants
#ApplicantPatent recordsShare
1Safran SA83
2French National Centre for Scientific Research (CNRS)36
3OFFICE NAT DETUDES & DE RECH AEROSPATIALES21
4University of Nantes19
5University of Poitiers17
6Safran Aircraft Engines SAS12
7Ecole Nationale Superieure de Mecanique et d’Aerotechnique (ENSMA)10
8ECOLE NAT SUPERIEURE DARTS & METIERS (ENSAM)5
9Alloyed Ltd3
10Aubert & Duval SA2
#ApplicantPatent recordsShare
11OFFICE NAT DETUBES & DE RECHERCHES AEROSPATIALES2
12Oxford University Innovation Ltd2
13Dr. Kundurthi Bharadwaja1
14OxMet Technologies Ltd1
15Dr. Srinivasa Rao Seeram1
16SIEMENS ENERGY GLOBAL GMBH & CO KG1
17NANJING UNIV OF AERONAUTICS & ASTRONAUTICS WUXI RE…1
18Soochow University1
19National Institute of Aeronautics and Astronautics1
20Dr. Bhiksha Gugulothu1
↗ Hover a row · click a company to ask Eureka

Safran’s position, reinforced by deep co-filing relationships with every major academic partner in the corpus, suggests that any entrant seeking to challenge in core alloy composition and turbine-blade simulation must contend with an entrenched, cross-institutional portfolio rather than a single assignee.

Filing counts for 20242026 are still accruing due to standard patent publication lag and should be treated as lower bounds rather than evidence of a structural decline. Longer-window growth, applicant concentration, and technology-route coverage are therefore more reliable signals than the latest-year bar alone.

Source: Patsnap Eureka. Chart shows the top applicants ranked by patent records; the corpus total is measured in patent families. These figures use different units and should not be compared directly. This same dataset is now available on Patsnap Open Platform via MCP.Connect via MCP →
Trends & Structure

Activity peaked in 2020; alloy composition and turbine classes dominate the technology mix

The annual filing trend and the IPC technology composition together reveal both the temporal arc of investment in this field and the degree to which it remains anchored to a small set of core classes.

Annual filing trend

Filing volume surged to its highest point in 2020, then eased unevenly across subsequent years. The 2024–2026 bars are subject to publication lag and will rise as pending applications publish; they should not be read as confirming a sustained decline.

Annual filing trendAnnual values from 2017 to 2026, peaking at 27 in 2020.02017172018720192720206202122202282023520244202512026↗ Hover for values · click a bar to ask Eureka

Technology composition

C22C (Alloys) and F01D (Turbines and non-positive displacement engines) together account for the overwhelming majority of classified records, confirming that the corpus is tightly focused on nickel alloy composition for turbine applications. C30B (Crystal growth), G06F (Electric digital data processing), and C23C (Coating and surface deposition) each appear at much lower frequencies, flagging them as adjacent branches with potential room for new entrants.

Technology compositionC22C · Alloys leads with 93; F01D · Turbines & non-positive engines 67.C22C · Alloys93F01D · Turbines & non-po…67C30B · Crystal growth14C22F · Non-ferrous metal…9C23C · Coating & surface…9G06F · Electric digital …9B23P · Metal working (ge…7B22F · Powder metallurgy5↗ Hover for values · click a bar to ask Eureka
Source: Patsnap Eureka. Technology-branch counts are measured in patent records; a single patent family can carry several IPC classes, so class totals can exceed the family total in scope.Explore deeper in Eureka →
Key Patents

Highly cited patent families surfaced by the query

Citation-heavy patent families returned by the query. Use this section as citation context, not as a curated list of the most topic-specific patents.

Featured patent
US20240344180A1Published 2024-10-17

Nickel-based superalloy, single-crystal blade and …

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… (excerpt from the patent abstract)

Nickel-based superalloy, single-crystal blade and … — patent drawing
Representative drawings from the patent document.
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Highly cited patent families surfaced by this query
#PatentCitations
1一种叶片榫齿缓进深切成形磨削残余应力预测方法10
2基于数据驱动多组元高温合金持久蠕变性能的评估方法7
3A nickel-based alloy6
4Nickel-based superalloy, single-crystal blade and …3
5Nickel-based superalloy, single-crystal blade and …3
6Nickel-based superalloy, single-crystal blade and …3
7Nickel-based superalloy, single-crystal blade and …3
8一种数据驱动的变形镍基高温合金多目标性能逆向设计优化方法2

Ranked by total forward citations. Citation counts favour older and broadly cited patent families, and broad or adjacent patents may appear when they match the search scope. Treat this section as citation context, not as a curated list of the most topic-specific patents. Some patent titles may be shown in their original, non-English language where an accurate translation could not be guaranteed.

Source: Patsnap Eureka. Citation-ranked patent families surfaced by this query.Open in Eureka →
Insights

What the competitive structure means for R&D strategy

The combination of a post-peak lifecycle, high concentration, and dense academic-industry collaboration defines a field where incremental positioning in the core is difficult but adjacent branches remain accessible.

Decline

Post-peak: the field is in decline from its 2020 high

The lifecycle stage is classified as Decline, driven by annual filing volume easing back from the 2020 peak. The field is not nascent — core alloy simulation methods are well-staked — which raises the bar for novel claim scope in the dominant C22C and F01D classes. R&D investment is better justified in adjacent branches or in extending existing portfolio positions with next-generation computational methods.

Lifecycle: Decline
Concentration

Top five control three-quarters of the leading filers’ output

The top five applicants hold 75% of the hundred largest filers’ combined total, a level of concentration that is high even by aerospace standards. The first-tier gap between Safran SA and the nearest challengers means that organic filing activity is unlikely to close the lead quickly. New entrants are more likely to find traction in under-served branches or through targeted licensing than by competing head-on in the core alloy-composition space.

High concentration
Collaboration

Safran and CNRS anchor a dense French consortium

The most active co-filing pair is Safran SA and the French National Centre for Scientific Research (CNRS) with 34 joint filings, followed by Safran SA with ONERA and with the University of Nantes at 19 each, and CNRS with the University of Nantes also at 19. The University of Poitiers co-files actively with both Safran SA and CNRS at 15 each. This interlocking consortium effectively fences the core technology area and reduces the likelihood of isolated academic breakouts outside the Safran ecosystem.

Consortium-driven
Geography

Europe (EPO) leads, with China and the US as secondary jurisdictions

Europe (EPO) is the lead filing jurisdiction, followed closely by China and then the United States. WIPO (PCT) and India also register meaningful activity, indicating that at least some filers are pursuing broad international protection. The strong European lead reflects the French-consortium origin of most filings, while China’s second-place position suggests growing parallel activity from Chinese academic institutions filing domestically.

Europe-led, China rising
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Top collaboration links
ApplicantCollaboratorCo-filings
Safran SAFrench National Centre for Scientific Research (CNRS)34
Safran SAONERA – The French Aerospace Lab19
Safran SAUniversity of Nantes19
French National Centre for Scientific Research (CNRS)University of Nantes19
Safran SAUniversity of Poitiers15
French National Centre for Scientific Research (CNRS)University of Poitiers15
Safran SASafran Aircraft Engines SAS12
French National Centre for Scientific Research (CNRS)Safran Aircraft Engines SAS8
University of PoitiersSafran Aircraft Engines SAS8
Ecole Nationale Superieure de Mecanique et d’Aerotechnique (ENSMA)Safran SA8

Co-filing pairs, ranked by the number of jointly-filed patent families.

Source: Patsnap Eureka. Cards are grounded in applicant ranking, lifecycle, collaboration, and jurisdiction evidence from the corpus.Explore insights →
Leaders

Safran SA leads; CNRS is the key academic counterpart

The two dominant players define the field’s technical direction: Safran SA as the industrial anchor and CNRS as the primary academic partner, jointly covering alloy composition, turbine component modeling, and crystal growth.

Leader · Safran SA

Safran SA

Safran SA ranks first with 83 patent records, concentrated in C22C 19 (Alloys), F01D 5 (Turbines), and C30B 1 (Crystal growth). Its momentum is declining at –17% in recent filings versus the prior period, suggesting a maturing core portfolio. The company co-files extensively with every major French academic institution in the corpus, reinforcing its position as the hub of the consortium.

83 patent records
Challenger · French National Centre for Scientific Research (CNRS)

CNRS

CNRS ranks second with 36 patent records, focused on C22C 19 (Alloys), F01D 5 (Turbines), and C23C 28 (Coating and surface deposition). Its recent filing trend shows a steep decline of –69%, indicating that CNRS’s surge in earlier years has substantially moderated. Its coating and surface deposition emphasis, distinct from Safran’s crystal-growth focus, marks the one meaningful technical differentiation between the two lead filers.

36 patent records
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ONERA (Office National d’Etudes et de Recherches Aerospatiales)Safran Aircraft Engines SAS+ more
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Leading-applicant momentum (recent 3 yrs, lag-adjusted)
ApplicantRecent (3 yrs)Trend
Safran SA30▼ -17%
French National Centre for Scientific Research (CNRS)8▼ -69%
ONERA – The French Aerospace Lab3▲ new entrant
University of Poitiers8▲ new entrant
Safran Aircraft Engines SAS12▲ new entrant
Ecole Nationale Superieure de Mecanique et d’Aerotechnique (ENSMA)2▲ new entrant
ECOLE NAT SUPERIEURE DARTS & METIERS (ENSAM)5▲ new entrant
ONERA – The French Aerospace Lab2▲ new entrant
Source: Patsnap Eureka. Player cards cite patent-record counts from the applicant ranking and trajectory from applicant momentum data.Explore players →
Adjacent Branches

Crystal growth, digital processing, and coatings are under-served relative to the alloy core

Five IPC branches each hold a low share of the corpus despite direct technical relevance to nickel superalloy simulation; all represent areas where the barrier from incumbent portfolios is lower than in the dominant C22C and F01D classes.

C30B · Crystal growth simulation

With only 14 patent records and a 6% share of the corpus, single-crystal growth modeling is sparse relative to its importance in turbine-blade manufacturing. The directional solidification of single-crystal nickel superalloy blades is a critical process step, and simulation tools that predict grain defect formation or dendrite morphology have direct industrial value. The entry path is viable for materials modeling software firms or academic groups with phase-field or CALPHAD expertise, where the incumbent cluster — mainly Safran SA and ONERA — has not yet erected a dense claim fence.

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G06F · Digital data processing for superalloy simulation

G06F carries only 9 patent records at a 4% share, despite the growing role of machine-learning and finite-element platforms in alloy property prediction — a trajectory evidenced by the top-cited corpus entries on data-driven creep and multi-objective inverse design. The branch is technically adjacent to the core alloy classes but claims the computational methods layer rather than alloy compositions, potentially offering freedom-to-operate for software and simulation-platform developers. Siemens Energy and Alloyed Ltd are the only non-consortium players with any G06F-adjacent presence, leaving substantial room for new entrants.

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C22F · Non-ferrous metal treatmentC23C · Coating and surface deposition+ more
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Source: Patsnap Eureka. Branch sparsity is measured against the dominant C22C and F01D classes within the same corpus; low count alone does not confirm commercial opportunity.Explore emerging →
Route Matrix

How leaders differ by technology route across alloy, turbine, and process branches

Route coverage across the main technology branches in the current evidence set.

PlayerC22C 19 · AlloysF01D 5 · Turbines & non-positive enginesC30B 1 · Crystal growthC22F 1 · Non-ferrous metal treatmentC23C 28 · Coating & surface deposition
Safran SAStrong · 81Strong · 64Emerging · 10Emerging · 6Emerging · 8
French National Centre for Scientific Research (CNRS)Strong · 34Strong · 29Emerging · 4Emerging · 1Moderate · 7
University of NantesStrong · 19Strong · 16AbsentEmerging · 1Moderate · 7
ONERA – The French Aerospace LabStrong · 19Strong · 12Moderate · 5Emerging · 3Absent
University of PoitiersStrong · 15Strong · 13Moderate · 4AbsentAbsent
Safran Aircraft Engines SASStrong · 12Strong · 10AbsentAbsentEmerging · 1
Ecole Nationale Superieure de Mecanique et d’Aerotechnique (ENSMA)Strong · 8Strong · 7Moderate · 3AbsentAbsent
Source: Patsnap Eureka. Matrix values are measured in patent records and should not be compared directly with family-level applicant totals.Compare in Eureka →
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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.

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