Cobot Simulation & Digital Twin Patent Landscape 2026
The cobot simulation and digital twin space comprises 62 patent families and is moderately concentrated, with Siemens Industry Software holding the leading position and China accounting for the largest share of filing activity. The field has expanded on a multi-year basis, though annual volume has eased from its 2019 peak and a wave of new entrants suggests continued competitive diversification.
Siemens leads a fragmented but China-weighted field
Siemens Industry Software holds the top position with 8 patent families, followed by Intel Corp at 4 and a cluster of applicants — including ETRI, Chengdu Qinchuan IoT Tech, James E. Colgate, and Michael. A. Peshkin — each at 3 families.
The top five filers account for 29% of the combined output of the hundred largest filers, indicating a moderately fragmented competitive structure with no single dominant player commanding a decisive share. The gap between rank one and rank two is meaningful but not prohibitive, leaving room for challengers to close the distance.
| # | Applicant | Patent families | Share |
|---|---|---|---|
| 1 | Siemens Industry Software Ltd | 8 | |
| 2 | Intel Corporation | 4 | |
| 3 | COLGATE JAMES E | 3 | |
| 4 | ELECTRONICS & TELECOMM RES INST | 3 | |
| 5 | Chengdu Qinchuan IoT Technology Co., Ltd. | 3 | |
| 6 | PESHKIN MICHAEL A | 3 | |
| 7 | Baker Hughes Oilfield Operations LLC | 2 | |
| 8 | Digital Surgery Systems Inc. | 2 | |
| 9 | NANJING UNIV OF AERONAUTICS & ASTRONAUTICS | 2 | |
| 10 | Shenyang Institute of Automation, Chinese Academy of Sciences | 2 |
| # | Applicant | Patent families | Share |
|---|---|---|---|
| 11 | Wuhan University of Technology | 2 | |
| 12 | Institute of Intelligent Manufacturing, Guangdong Academy of Sciences | 2 | |
| 13 | Qingdao University | 2 | |
| 14 | Flaadi (Ningbo) Robotics Co., Ltd. | 1 | |
| 15 | Indian Institute of Science | 1 | |
| 16 | University of Ulsan Foundation for Industry Cooperation | 1 | |
| 17 | Institute of Automation, Chinese Academy of Sciences | 1 | |
| 18 | Jiangsu ASK Technology | 1 | |
| 19 | Xi’an Jiaotong University | 1 | |
| 20 | Zhuhai Gree Intelligent Equipment Co., Ltd. | 1 |
Siemens’ lead reflects a systematic industrial-software strategy, while the presence of individual inventors (Colgate, Peshkin) and academic institutions (Nanjing University of Aeronautics and Astronautics, Wuhan University of Technology) signals that the field has not yet consolidated around pure commercial incumbents.
Filing data for the most recent 18–24 months is likely under-counted due to standard patent publication lag; the apparent softening in 2024–2026 data should not be read as a real-activity decline. Longer-window growth, applicant concentration, and technology-route coverage are therefore more reliable signals than the latest-year bar alone.
Annual activity has plateaued near its peak; manipulator IP dominates the technology mix
The filing trend and technology composition charts together reveal a field that surged in 2019, stabilized, and now draws contributions from a broadening set of IPC classes beyond core robotics hardware.
Annual filing trend
Activity spiked in 2019 (13 families), dipped in 2020–2021, recovered through 2022–2023, and has plateaued near that level. The 2024–2026 bars are subject to publication lag and should not be read as a real decline. On a multi-year basis the corpus has grown 23% recently, consistent with a maturing but still active field.
↗ Hover for values · click a bar to ask EurekaTechnology composition
B25J (Manipulators & robots) dominates the IPC distribution, reflecting the cobot-hardware focus at the core of this space. G06F (Electric digital data processing) is the second-largest class, underscoring the software and simulation layer. G05B (Control & regulating systems), G06T (Image data processing), and G06Q (Business and commerce data processing) each hold smaller but distinct shares, pointing to emerging application directions in control, vision, and enterprise integration.
↗ Hover for values · click a bar to ask EurekaHighly 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.
Autonomous fluid management using fluid digital tw…
Examples described herein provide a computer-implemented method that includes determining, using a digital twin, a task to be performed based at least in part on real-time data. The method further includes initiating at least one of a drone, a collaborative robot, or a warehouse system to perform the task. (excerpt from the patent abstract)
| # | Patent | Citations |
|---|---|---|
| 1 | Cobots | 184 |
| 2 | 基于视觉的协作机器人安全控制方法 | 56 |
| 3 | 一种基于反步法的双机械臂力/位模糊混合控制方法 | 23 |
| 4 | 一种协作机器人非线性刚度建模方法 | 15 |
| 5 | 基于有限时间跟踪控制的协作机器人控制方法 | 13 |
| 6 | Bio-inspired adaptive impedance based controller f… | 13 |
| 7 | Method and system for programming a cobot for a pl… | 13 |
| 8 | Non-holonomic user interface for a robot | 12 |
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.
What the IP structure means for R&D investment decisions
Four structural signals — lifecycle stage, competitive concentration, collaboration patterns, and geographic reach — shape the risk and opportunity profile for new entrants and incumbents alike.
Field is maturing with plateauing annual volume
The lifecycle evidence places cobot simulation and digital twin at the Maturity stage: annual filings have plateaued near their peak, with the earlier 2019 spike not yet sustainably exceeded. The 23% recent-window growth confirms the corpus is still expanding on a multi-year basis, but incremental rather than step-change IP gains are the more likely near-term profile. New entrants should focus on differentiated technical angles rather than broad foundational claims.
Lifecycle: MatureModerate fragmentation creates entry windows
With the top five filers holding 29% of the hundred largest filers’ combined output, no single incumbent has locked up the field. Siemens’ lead of 8 patent families is meaningful but not insurmountable. The presence of individual inventors and academic institutions in the top-20 ranking further signals that claim space remains accessible to well-targeted technical programs.
Concentration: ModerateNo co-applicant collaborations detected in current evidence
The collaboration data returned no co-filing partnerships within this corpus. This absence may reflect the early-stage fragmentation of the field or the prevalence of proprietary solo-filing strategies among the leading applicants. It also suggests that cross-institutional R&D consortia — if formed — could represent a structural differentiator in building broader, harder-to-design-around patent portfolios.
Collaboration: SparseChina dominates filings; US and Europe are secondary but strategically important
China accounts for 34 patent records, the largest single jurisdiction, followed by the United States at 15, WIPO PCT at 6, and Europe (EPO) at 5. South Korea, India, Austria, and Australia each hold smaller presences. This geographic skew means that China-first IP strategies carry the broadest coverage, but PCT and EPO routes remain essential for commercial protection in the key industrial robotics markets of Europe and North America.
Geography: China-ledGo beyond the landscape: Eureka’s TRIZ Solution agent breaks down an R&D problem and returns patented concept solutions, each with a technical approach and cited patent & literature evidence.
Co-filing pairs, ranked by the number of jointly-filed patent families.
Siemens anchors industrial software; Intel and ETRI are new entrants to watch
The leader-challenger dynamic in this space is defined by Siemens’ established position in industrial simulation software versus a set of new entrants — including Intel and ETRI — that have entered the ranking in the most recent filing window.
Siemens Industry Software
Siemens Industry Software holds 8 patent families, the largest portfolio in this corpus. Its emphasis on the B25J (Manipulators & robots) and G06F (Digital data processing) branches reflects a systematic effort to cover both the robot-physical and simulation-software layers of the cobot digital twin stack. Applicant momentum data for the recent window is not separately broken out for Siemens in the evidence, suggesting its portfolio was built over a longer horizon rather than concentrated in a single surge.
families: 8Intel Corp
Intel Corp holds 4 patent families and is classified as a new entrant in the most recent filing period, with 2 recent families driving that momentum signal. Its entry into cobot simulation IP is consistent with its broader push into edge AI and industrial compute, and its recent-window activity suggests an accelerating rather than legacy position in this space.
families: 4| Applicant | Recent (3 yrs) | Trend |
|---|---|---|
| Intel Corporation | 2 | ▲ new entrant |
| 韩国电子通信研究院 | 2 | ▲ new entrant |
| Chengdu Qinchuan IoT Technology Co., Ltd. | 2 | ▲ new entrant |
| Digital Surgery Systems Inc. | 2 | ▲ new entrant |
| Wuhan University of Technology | 1 | ▲ new entrant |
Under-served branches in AI, control systems, and vision worth monitoring
Several IPC classes adjacent to the dominant B25J core show relatively sparse patent counts, indicating areas where the technical foundation exists but dedicated cobot-simulation IP has not yet accumulated at scale.
G06N · Computing based on AI models
With only 4 patent records and a 4% share among the larger filers’ output, AI-model-based computing applied to cobot simulation is notably sparse relative to the pace of AI adoption in industrial robotics. The technical value is plausible: physics-informed neural networks and reinforcement-learning-based digital twins are active research directions. An entry path exists through combinations of existing B25J and G06N claims targeting cobot-specific training environments or sim-to-real transfer methods.
Search this in Eureka →G06T · Image data processing & generation
G06T (Image data processing and generation) holds 6 patent records and a 5% share, leaving vision-based digital twin representations — including 3D scene reconstruction and augmented-reality cobot interfaces — relatively uncrowded. Given that vision-based safety and collision-avoidance is one of the most-cited technical themes in this corpus (evidenced by the high-citation patent on vision-based safety control), the gap between citation prominence and filing density suggests room for targeted IP development in this branch.
Search this in Eureka →How leading applicants differ by technology route
Route coverage across the main technology branches in the current evidence set.
| Player | B25J 9 · Manipulators & robots | G06F 30 · Electric digital data processing | B25J 13 · Manipulators & robots | B25J 19 · Manipulators & robots | G05B 19 · Control & regulating systems |
|---|---|---|---|---|---|
| Siemens Industry Software Ltd (Israel) | Strong · 7 | Emerging · 1 | Moderate · 2 | Absent | Moderate · 2 |
| Chengdu Qinchuan IoT Technology Co., Ltd. | Strong · 3 | Absent | Absent | Strong · 3 | Absent |
| COLGATE JAMES E | Strong · 4 | Absent | Absent | Absent | Absent |
| PESHKIN MICHAEL A | Strong · 4 | Absent | Absent | Absent | Absent |
| Intel Corporation | Strong · 4 | Absent | Absent | Absent | Absent |
| 韩国电子通信研究院 | Strong · 3 | Absent | Absent | Absent | Absent |
Frequently asked questions
The current corpus covers 62 patent families in scope globally, representing dedicated IP at the intersection of collaborative robotics and digital twin or simulation technology.
Siemens Industry Software holds the top position with 8 patent families, followed by Intel Corp at 4 and a group of applicants — including ETRI, Chengdu Qinchuan IoT Tech, James E. Colgate, and Michael A. Peshkin — each at 3 families.
China leads with 34 patent records, followed by the United States at 15, WIPO PCT at 6, and Europe (EPO) at 5. South Korea, India, Austria, and Australia also appear in the jurisdiction breakdown.
The field is at the Maturity stage: annual filings have plateaued near their peak after a surge in 2019, though the corpus has still grown 23% on a recent multi-year basis. Incremental, differentiated filings are more characteristic of this stage than broad foundational claims.
G06N (Computing based on AI models) at 4 patent records and G06T (Image data processing and generation) at 6 patent records are among the sparser branches relative to the dominant B25J (Manipulators & robots) class, which holds 59 patent records. G06Q (Business data processing) and B23K (Welding) are also comparatively sparse.
The current evidence shows no co-applicant collaborations detected within the cobot simulation and digital twin corpus. Most portfolio-building appears to follow single-assignee filing strategies, which may represent an opportunity for organizations willing to pursue cross-institutional patent programs.
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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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