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Collaborative Robots (Cobots) Patent Landscape 2026

Collaborative Robots (Cobots) Patent Landscape 2026
Competitive Landscape

Collaborative Robots (Cobots) Patent Landscape in 2026

The cobot IP field spans 3,452 patent families and is moderately concentrated, with FANUC Ltd holding the top position among a diverse mix of industrial OEMs, defence contractors, and new entrants. Annual filing volume has plateaued near its 2022 peak, signalling a field transitioning from rapid growth into competitive consolidation.

3,452
Patent families in scope
22%
Top-5 share of top-100 filers
+22%
3-yr filing growth (lag-adj.)
United States
Leading jurisdiction
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Published byPatSnap Insights Team··7 min readVerified by PatSnap Eureka data
Overview

FANUC leads a fragmented but consolidating field

FANUC Ltd heads the top five filers account for 22% of the combined output of the hundred largest filers, indicating moderate concentration without a single dominant monopoly.

A clear tier gap separates the top two incumbents — FANUC and ABB — from the rest of the top ten, where counts drop sharply from 75 down to 37. Below rank ten the field becomes markedly more fragmented, with many applicants holding fewer than 30 patent families each.

Leading applicants
#ApplicantPatent familiesShare
1FANUC Ltd121
2ABB (Schweiz) AG94
3Digital Global Systems Inc75
4BAE Systems PLC65
5Intel Corporation47
6Strong Force VCN Portfolio 2019 LLC44
7Lincoln Global Inc43
8French Alternative Energies and Atomic Energy Commission (CEA)43
9Shenzhen Hans Robot Co Ltd37
10Neuromeka37
#ApplicantPatent familiesShare
11Yaskawa Electric Corporation34
12KUKA Deutschland GmbH32
13Figure AI Inc30
14Ericsson30
15SICK AG26
16KUKA Systems GmbH26
17Exonetik Inc26
18Illinois Tool Works Inc24
19Neura Robotics GmbH24
20Robotiques 3 Dimensions24
↗ Hover a row · click a company to ask Eureka

The incumbents’ positions reflect sustained, broad-based investment in core manipulator and control technologies. However, new entrants such as Strong Force VCN Portfolio 2019 LLC and Lincoln Global Inc have entered with concentrated, application-specific portfolios, signalling that adjacency plays are reshaping the competitive perimeter.

Filing counts for the most recent 18–24 months are subject to publication lag and will increase as applications are published; apparent softness in 20242026 data should not be interpreted as a confirmed 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 families. Applicant counts can overlap where a patent family lists several applicants, so they need not sum to the total in scope.Explore deeper in Eureka →
Trends & Structure

Filing volume has plateaued near peak; manipulator mechanics dominate but AI and control branches are expanding

Two charts together capture the pace and shape of cobot IP activity: the annual trend reveals a field that surged through 2022 and has since stabilised, while the technology composition chart shows a corpus anchored in mechanical robotics but increasingly annotated with AI, vision, and control subclasses.

Annual filing trend

Filings climbed steeply from 159 in 2017 to a peak of 491 in 2022, then eased to 471 in 2023 and 448 in 2024. The 2025 and 2026 figures (401 and 74 respectively) reflect publication lag rather than a confirmed retreat. The multi-year window still shows a 22% growth rate, consistent with a field at or near its filing ceiling rather than in decline.

Annual filing trendAnnual values from 2017 to 2026, peaking at 491 in 2022.159201724820183622019335202046320214912022471202344820244012025742026↗ Hover for values · click a bar to ask Eureka

Technology composition

B25J (Manipulators and robots) is the dominant IPC class with 3,661 records, reflecting the mechanical core of cobot development. G05B (Control and regulating systems) ranks second at 475, and G06F, G06N, and G06T together represent growing software and AI signal layers. Downstream application classes — including B23K for welding, A61B for surgery, and B65G for material handling — confirm that cobot patents are increasingly tied to specific end-use deployments.

Technology compositionB25J · Manipulators & robots leads with 3,661; G05B · Control & regulating systems 475.B25J · Manipulators & ro…3,661G05B · Control & regulat…475G06F · Electric digital …263G06N · Computing based o…217G06T · Image data proces…192G05D · Control of non-el…173B23K · Welding, solderin…160G06V · Image/video recog…138↗ 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
US12083675B2Published 2024-09-10

Collaborative robot (COBOT) assistance

Ncr Voyix Corporation

Real-time images of individuals and items on shelves of a store are analyzed for behaviors of the individuals and stocking levels of the items on the shelves. An autonomous Collaborative Robot (COBOT) is dispatched to aid the individuals based on the behaviors. The COBOT also restocks the shelves with the items when the stocking levels fall below predefined… (excerpt from the patent abstract)

Collaborative robot (COBOT) assistance — patent drawingCollaborative robot (COBOT) assistance — patent drawing
Representative drawings from the patent document.
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Highly cited patent families surfaced by this query
#PatentCitations
1Obstacle recognition method for autonomous robots728
2Home robot using supercomputer, and home network s…351
3Light weight and real time slam for robots257
4Home robot using home server, and home network sys…257
5Versatile mobile platform241
6Optimization of robot control programs in physics-…194
7Cobots184
8Method and device for visualizing computer-generat…158

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 allocation

The cobot patent landscape sits at a maturity inflection point: the mechanical core is crowded, but software-defined control and AI-sensing layers remain comparatively open. Four structural reads follow.

Maturity

Field is at a plateau — core mechanics are crowded

Annual filings have plateaued near the 2022 peak, placing the field in the late-growth to early-maturity stage. The B25J manipulator class is heavily populated, making undifferentiated mechanical filings a low-return strategy. New investment should target differentiated sub-systems or application-specific integrations where prior art density is lower.

Late-growth / Maturing
Concentration

Moderate concentration with a visible challenger tier

The top five filers hold 22% of the hundred largest filers’ combined output, a moderate but not dominant share. FANUC and ABB form a clear leading pair, while a challenger tier — Digital Global Systems, BAE Systems, and Intel — is close enough to disrupt the ranking with sustained filing. New entrants with portfolio aggregation strategies are also re-ordering the mid-table.

Moderate concentration
Collaboration

No structured co-filing activity detected in current data

The collaboration evidence set is currently empty, meaning no significant co-applicant filing patterns have been identified in this corpus. This may reflect the predominantly proprietary nature of cobot IP development among the leading industrial OEMs, or a data-collection boundary. R&D teams should independently assess consortium and standards-body activity before concluding that the ecosystem is closed.

Evidence pending
Geography

US leads filings; China is a strong second; Europe files broadly

The United States is the leading jurisdiction with 1,153 patent records, followed by China at 933 and Europe (EPO) at 440. WIPO PCT filings at 341 confirm that leading applicants are pursuing international coverage. South Korea (169) and Germany (164) round out the top five, reflecting the geographic spread of cobot manufacturing and R&D centres.

US · China · Europe
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Co-filing pairs, ranked by the number of jointly-filed patent families.

Source: PatSnap Eureka. Insights are drawn from applicant ranking, lifecycle, jurisdiction, and collaboration evidence.Explore insights →
Leaders

FANUC and ABB lead on core manipulator IP; new entrants are reshaping the mid-table

The two incumbent leaders hold broad manipulator-centric portfolios built over many years, while a set of new entrants is accumulating IP rapidly in application-specific and software-adjacent areas.

Leader · FANUC Ltd

FANUC Ltd

FANUC Ltd holds 121 patent families, the largest portfolio in scope. Its technology focus is concentrated in B25J subclasses covering robot arms, hand controllers, and safety monitoring — a classically broad mechanical platform position. Recent filing momentum shows a 66% decline versus the prior three-year period, suggesting the company is optimising rather than expanding its portfolio frontier.

families: 121
Challenger · ABB (Schweiz) AG

ABB (Schweiz) AG

ABB (Schweiz) AG holds 94 patent families and focuses on B25J manipulator mechanics alongside G05B control systems — a combination that signals deeper software-hardware integration than pure mechanical players. Recent filings are down 36% versus the prior three-year period, consistent with the field-wide plateau, but ABB’s dual-axis coverage in mechanics and control positions it well for the next wave of software-defined cobot differentiation.

families: 94
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Digital Global Systems IncLincoln Global Inc+ more
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Leading-applicant momentum (recent 3 yrs, lag-adjusted)
ApplicantRecent (3 yrs)Trend
FANUC Ltd19▼ -66%
ABB (Schweiz) AG25▼ -36%
BAE Systems PLC7▼ -87%
Universal Robots A/S9▼ -72%
Intel Corporation24▲ +85%
Strong Force VCN Portfolio 2019 LLC44▲ new entrant
Lincoln Global Inc43▲ new entrant
French Alternative Energies and Atomic Energy Commission (CEA)1▲ new entrant
Source: PatSnap Eureka. Family counts are from the applicant ranking; momentum is measured as recent versus prior three-year filing rate.Explore players →
Adjacent Branches

Control systems, AI models, and image processing are under-served relative to the mechanical core

The dominant B25J mechanical class accounts for the large majority of records, leaving several technically adjacent IPC branches with comparatively sparse cobot-specific coverage. The five branches below are observations of relative sparsity and warrant assessment before being treated as investment targets.

G05B · Control & Regulating Systems

With 475 records against B25J’s 3,661, control-system IP is present but thin relative to the mechanical base. For cobots, adaptive and safety-rated control logic is a key differentiator — especially for force-limiting and speed-monitoring functions required by ISO/TS 15066. Teams with control-software expertise could file in this branch to complement existing mechanical positions without running directly into the densest prior-art clusters.

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G06N · Computing Based on AI Models

Only 217 records fall under G06N in this corpus, despite the growing role of machine-learning in cobot task planning, anomaly detection, and human-intent prediction. The sparse coverage relative to the mechanical core suggests that AI-native approaches to cobot intelligence — rather than bolt-on perception modules — remain an under-documented area. Entry is plausible for teams combining robotics domain knowledge with modern ML architectures, though freedom-to-operate assessment is still required.

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Unlock the full white-space map
See all adjacent IPC branches ranked by relative sparsity, with filing-density heat maps and suggested search strings.
G06T · Image data processing & generationG05D · Control of non-electric variables+ more
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Source: PatSnap Eureka. Adjacent branches are identified by comparing each IPC class record count to the dominant B25J class.Explore emerging →
Route Matrix

How leading applicants differ by technology route across cobot sub-domains

Strength of each leader across the main technology routes.

PlayerB25J 9 · Manipulators & robotsB25J 19 · Manipulators & robotsB25J 13 · Manipulators & robotsB25J 11 · Manipulators & robotsG05B 19 · Control & regulating systems
FANUC LtdStrong · 94Moderate · 47Strong · 49AbsentModerate · 26
BAE Systems PLCStrong · 65Moderate · 24Moderate · 25Moderate · 17Strong · 33
ABB (Schweiz) AGStrong · 84Moderate · 21Emerging · 12AbsentEmerging · 16
Digital Global Systems IncStrong · 75AbsentAbsentAbsentAbsent
Lincoln Global IncStrong · 43AbsentAbsentModerate · 18Moderate · 14
Strong Force VCN Portfolio 2019 LLCStrong · 44AbsentAbsentAbsentModerate · 17
Universal Robots A/SStrong · 51AbsentAbsentAbsentEmerging · 9
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.

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.

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