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Cone Crusher Chamber Optimization Patents: Leaders & Trends 2026

Cone Crusher Chamber Optimization Patents: Leaders & Trends 2026
https://www.patsnap.com/resources/blog/rd-blog/cone-crusher-chamber-optimization-patent-landscape/ · Patsnap · data cut-off 2026-07-31 · downloaded from the live page
Patent Landscape · Crushing & Screening
Cone Crusher Chamber Optimization Patents: Who Leads and Where the Field Is Still Open
  • Filing has cooled sharply since its 2018 peak. the leading year on record hit 21 filings, and the 2021-to-2024 span alone fell 67% (12 to 4), even before accounting for publication lag.
  • The top five assignees hold just over a third of the field. 102 of 277 records (36.8%) sit with five companies, with the leader alone at 31 — concentrated, but far from a monopoly.
  • Crushing hardware still dominates the IPC mix. B02C (crushing, grinding & pulverising) covers 65.7% of records, while imaging, material analysis and AI-based computing classes each sit under 10%.
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277
Published Records
37%
Top-5 Share of All Records
-67%
Filing Growth 2021→2024
US
Leading Jurisdiction

Filing growth compares 2021 (12 records) with 2024 (4) — 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 277 records in scope (CR5), not by the ranked leaders only.

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

What this landscape covers

Cone crusher chamber optimization sits at the intersection of mechanical design and process control: liner and mantle geometry, eccentric throw mechanisms, choke-feed regimes, and the sensing and computation layered on top to hold power draw and product shape in check. This dataset pulls 277 published records filed or published between 2015 and mid-2026 that combine core crusher-chamber terms with the operating variables that actually determine chamber performance — interparticle breakage, choke feeding, flakiness index, power draw, wear compensation and reduction ratio.

Because publication lags filing by roughly 18 months, the most recent one to two years in any trend line will always look thinner than they eventually turn out to be. The patterns below are read from the years that have had time to settle.

Filing activity and technology composition, 2015-2026
  1. 1METSO OUTOTEC FINLAND OY31
  2. 2NORDBERG INC23
  3. 3MCCLOSKEY INTERNATIONAL LTD18
  4. 4PINTAT BENOIT16
  5. 5KLEEMANN14
  6. 6AMCOR LIMITED13
  7. 7CRUSHER VISION INC12
  8. 8NIPPON SHOKUBAI CO LTD12
  9. 9STONE THREE DIGITAL PTY LTD10
  10. 10METSO MINERALS FRANCE8
Source: Patsnap Eureka. Assignee ranking and totals. Derived from a Patsnap search on Cone Crusher Chamber 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
The Data

Filing trend and technology composition

Two views of the same 277 records: how filing activity has moved year over year, and which IPC subclasses carry the technical substance.

A 2018 peak followed by a multi-year pullback

Filings ran from 13 in 2017 to a peak of 21 in 2018, then eased. The clearest recent signal is the 2021-to-2024 span, where filings fell from 12 to 4 — a 67% drop over three years. 2025 and 2026 figures are still filling in under the usual publication lag and should not be read as a continuation of that decline until more data lands.

A 2018 peak followed by a multi-year pullback06131925132017212018201920202021202220232024202512026Most recent year is partial — publication lag means later filings are not yet visible.

Crushing hardware dominates; adjacent classes stay thin

B02C (crushing, grinding & pulverising) appears in 65.7% of the 277 records — the mechanical core of the field. Image processing (G06T, 9.0%), material analysis (G01N, 8.3%) and AI-based computing (G06N, 3.6%) each touch a minority of records, marking sensing and modelling as supporting rather than dominant technical threads. Records can carry more than one class, so these shares add up past 100%.

Crushing hardware dominates; adjacent classes stay thinB02C · Crushing, grinding & pulverisi…18265.7%G06T · Image data processing & genera…259.0%G01N · Material analysis & testing238.3%E01C · Roads & pavements207.2%B01J · Chemical/physical processes & …176.1%C08J · Polymer processing & solutions114.0%C22B · Metal extraction & refining114.0%G06N · Computing based on AI models103.6%Other9634.7%

Shares are the percentage of the 277 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 Cone Crusher Chamber Optimization 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

The most-cited records in this space

Representative Filing
US6213418B12001-04-10

US6213418B1 — Variable throw eccentric cone crusher and method for operating the same

MARTIN MARIETTA MATERIALS, INC.

A variable throw eccentric cone crusher comprising a frame, a crusher head supported for gyration about a first axis, a bowl in spaced relation to the head, and a mechanism for varying the eccentricity of that gyration. An eccentric member engages the crusher head and pivots about a second axis radially offset from the first, and is adjustable to vary the head's gyration eccentricity.Filed by Martin Marietta Materials; published 2001-04-10.

US6213418B1 — patent drawing 1US6213418B1 — patent drawing 2
View full record
Highest-citation records in scope
#Publication no.Patent titleCitations
1US20040035967A1Gyratory crusher with hydrostatic bearings81
2US20020096661A1Process for producing a carbon material for an electric double layer capacitor electrode, and processes for p…72
3US20050269436A1Cone rock crusher53
4US6213418B1Variable throw eccentric cone crusher and method for operating the same53
5US4750681AApparatus for high performance conical crushing53
6US5580003AMethod for controlling a gyratory crusher52
7WO2020049517A1Monitoring ore45
8US20130102750A1Method for producing polyacrylic acid (SALT)-based water absorbent resin powder45
9US4697745AMethod and apparatus for high performance conical crushing42
10US5482218ARock crushing apparatus and method37

Citation counts favour older filings that have had more time to accumulate references — treat them as a signal of influence within this corpus, not of current technical importance.

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 Cone Crusher Chamber 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
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Insights

What the numbers say about this field

Three read-outs from the dataset that matter for anyone deciding where to file or who to watch.

Concentration
36.8%
of all 277 records

Top five hold a third, not a lock

The top five assignees combine for 102 of 277 records (36.8%), with the leader at 31 filings. That leaves the majority of the field spread across a long tail of single- and few-filing entrants — enough concentration to know who to watch, not enough to call the space closed.

Based on the assignee ranking of 95 companies.
Momentum
-67%
2021 to 2024 filings

A real pullback, read with care

Filings dropped from 12 in 2021 to 4 in 2024, a 67% decline over the three-year span. That is the last window clean of publication lag; 2025-2026 counts are still incomplete and should not yet be read as an extension of the trend.

2018 remains the peak filing year on record, at 21.
Technology mix
65.7%
of records carry B02C

Mechanical claims still anchor the field

B02C covers nearly two-thirds of records, confirming that chamber geometry, liner wear and eccentric mechanisms remain the primary claim territory. Sensing and computation classes — G06T, G01N, G06N — each sit under 10%, suggesting those layers are additive rather than the field's centre of gravity.

Shares sum past 100% because records can carry multiple IPC classes.
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Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to cone crusher chamber optimization, 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 Cone Crusher Chamber 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
Players

Who is filing, and where the gaps sit

The ranked list covers 95 companies across all 277 records — not a top-50 or top-100 cut, but the full set the data returns.

Leader
31
records

A clear single leader

The top-ranked assignee holds 31 records, well ahead of fifth place at 14 and tenth place at 8 — a steep early drop-off that flattens quickly into the long tail.

Compare against the 36.8% combined top-five share.
Mid-field
8
records at 10th place

The field thins out fast

By the tenth-ranked assignee, filing counts have already fallen to single digits relative to the leader, and the top ten together account for 56.7% of all records — meaning over 40% of activity is spread thinly across the remaining 85 ranked companies.

157 of 277 records sit with the top ten.
Collaboration
7
co-assignee pairs

Co-filing is rare and localized

Only seven co-assignee pairs appear in the dataset, and the strongest recurring pairings involve the same few names — a sign that most chamber-optimization work is filed solo rather than through joint development structures.

Strongest pairs recur at 2-4 shared filings.
🔍
Under-claimed sub-areas worth checking before filing
These branches show thin coverage relative to the core mechanical classes — worth a freedom-to-operate check before assuming open ground.
Real-time flakiness index sensingWear-compensating liner geometry controlChoke-feed regime automationAI-driven power-draw predictionInterparticle breakage modelling for chamber design
Rank all filers by momentum →
Recent-year filing momentum by assignee
AssigneeRecent yearYoY
Nordberg Inc0
Metso Outotec Finland Oy0-100%
McCloskey International Ltd0
PINTAT BENOIT0
Metso Minerals France0
Kleemann GmbH0-100%
Amcor Limited0
Nippon Shokubai Co Ltd0
Source: Patsnap Eureka. Assignee-level momentum. Derived from a Patsnap search on Cone Crusher Chamber 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
What's Next

Where to take this analysis

The dataset points to a field with a settled mechanical core and a thinner, more open layer of sensing and control claims above it.

Check freedom-to-operate on chamber sensing claims

With G06T, G01N and G06N each under 10% of records, a targeted search around real-time flakiness or wear sensing may surface fewer blocking claims than the crowded B02C core.

Run a freedom-to-operate search in Eureka

Track the top assignees' next filings

With the top five holding 36.8% of records and momentum data showing several leaders at zero filings in the latest year, a shift by any one of them would be visible early.

Set up assignee monitoring in Eureka

Map citation influence against current claims

The most-cited records date back years; verify whether their core claims (like the variable-throw eccentric mechanism) still constrain new chamber designs or have aged out of relevance.

Explore citation trees in Eureka
Source: Patsnap Eureka. Forward-looking reading of the same dataset. Derived from a Patsnap search on Cone Crusher Chamber 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
FAQ

Common questions about this landscape

Answers are grounded in the same dataset. Derived from a Patsnap search on Cone Crusher Chamber 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

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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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