Digital Twins Patent Landscape 2026
Digital Twins Patent Landscape in 2026
The digital twins patent field is in a clear growth phase, with 13,436 patent families on record and annual filings expanding substantially across the analysis window. Siemens AG holds the largest position among identifiable applicants, but no single player commands a dominant share, and the field spans industrial automation, AI, and power-grid verticals simultaneously.
Siemens leads a fragmented, fast-growing competitive field
Siemens AG ranks first with 422 patent families, placing it well ahead of the next tier — Strong Force VCN Portfolio 2019 LLC (165), Strong Force TX Portfolio 2018 LLC (156), IBM (156), and Rockwell Automation (152) — all of which are tightly clustered within a narrow band.
The top five filers account for 24% of the combined output of the hundred largest filers, indicating a moderately fragmented landscape where no applicant holds an overwhelming concentration. A second tier of industrial and consulting players — China, Beihang University, and Digital Global Systems — sits within striking distance of the leaders.
| # | Applicant | Patent families | Share |
|---|---|---|---|
| 1 | Siemens AG | 422 | |
| 2 | Strong Force VCN Portfolio 2019 LLC | 165 | |
| 3 | Strong Force TX Portfolio 2018 LLC | 156 | |
| 4 | International Business Machines Corporation | 156 | |
| 5 | Rockwell Automation Technologies Inc | 152 | |
| 6 | TYCO FIRE & SECURITY GMBH | 128 | |
| 7 | Tata Consultancy Services Ltd | 127 | |
| 8 | State Grid Corporation of China | 119 | |
| 9 | Beihang University | 101 | |
| 10 | Digital Global Systems Inc | 96 |
| # | Applicant | Patent families | Share |
|---|---|---|---|
| 11 | Honeywell International Inc | 94 | |
| 12 | General Electric Company | 90 | |
| 13 | Freeport-McMoRan Inc | 88 | |
| 14 | Dassault Systemes SA | 66 | |
| 15 | China Electric Power Research Institute Co Ltd | 59 | |
| 16 | Xi’an Jiaotong University | 55 | |
| 17 | ABB (Schweiz) AG | 54 | |
| 18 | ELECTRONICS & TELECOMM RES INST | 52 | |
| 19 | Southeast University | 51 | |
| 20 | Schlumberger Technology Corporation | 50 |
Siemens’ lead, combined with the breadth of its technology emphasis across control systems, business-process modeling, and simulation, reflects a platform strategy rather than narrow point-product protection. Other leaders show more specialized footprints, which creates differentiated competitive exposure across verticals.
The most recent 18–24 months of data are subject to publication lag and therefore understate actual filing activity; the competitive picture at the frontier is more active than current counts suggest. Longer-window growth, applicant concentration, and technology-route coverage are therefore more reliable signals than the latest-year bar alone.
Sustained volume growth with a data-processing and AI core
Two structural features define this field: a multi-year upward filing trajectory that shows no sign of reversal, and a technology mix anchored in digital data processing with rapidly deepening AI and control-system layers.
Annual filing trend
Filings grew from 83 families in 2017 to 2,518 in 2024, a roughly 170% increase over the most recent measured window. The 2025 and 2026 bars are materially understated due to publication lag and should not be read as a slowdown; the field’s lifecycle stage is confirmed as Growth, with annual filings still rising.
↗ Hover for values · click a bar to ask EurekaTechnology composition
G06F (electric digital data processing) and G06Q (business and administrative data processing) together dominate the branch mix, reflecting that most digital twin patents are fundamentally about data modeling and workflow integration. G06N (AI/machine-learning methods) is the third-largest branch and growing in relative share, signaling increasing coupling of twin architectures with learned models. G05B (control and regulating systems) and G06T (image data processing) represent meaningful secondary clusters tied to real-time feedback and visualization use cases.
↗ 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.
Context aware optimized digital twin model creation
In an approach for building a subset of a digital twin model, a processor monitors a digital twin model of a machine for one or more changes to the machine. Responsive to detecting a change to the machine, a processor analyzes one or more aspects of the machine, wherein the one or more aspects of the machine include a contextual situation of the machine and… (excerpt from the patent abstract)
| # | Patent | Citations |
|---|---|---|
| 1 | Industrial digital twin systems and methods with e… | 373 |
| 2 | Digital twins for energy efficient asset maintenance | 340 |
| 3 | Control tower and enterprise management platform w… | 329 |
| 4 | Predictive Model Data Stream Prioritization | 328 |
| 5 | Job Parsing in Robot Fleet Resource Configuration | 311 |
| 6 | System, method, and apparatus for providing dynami… | 309 |
| 7 | Structural design systems and methods for floor pl… | 288 |
| 8 | Virtual reality and augmented reality for industri… | 271 |
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 structure means for R&D positioning
The combination of a growth-stage lifecycle, moderate concentration, dense cross-institutional collaboration in the power sector, and. China’s dominant jurisdictional presence shapes both the risk and opportunity profile for new entrants and incumbents alike.
Growth stage: rising filings, no peak in sight
The field carries a confirmed Growth lifecycle label. Annual filing volumes have expanded continuously from 2017 through 2024, and the lifecycle assessment notes that recent years are understated by publication lag. Teams entering now face an active but not yet saturated prior-art landscape, and foundational claim space in key subdomains is still being established.
Growth stageModerate fragmentation with a clear first-mover
The top five filers account for 24% of the hundred largest filers’ combined total, and the gap between first place (Siemens AG, 422 patent families) and the next cluster (155–165 range) is notable but not prohibitive. The second and third tiers include strong-force portfolio entities, large IT consultancies, industrial automation firms, and Chinese state-owned enterprises — suggesting that differentiated vertical strategies can still compete effectively against the leading platform player.
Fragmented marketState Grid Corporation drives the densest co-filing network
The most active co-filing pairs are all centered on State Grid Corporation of China, which co-files with China Electric Power Research Institute (21 joint families), State Grid Smart Grid Research Institute (16), State Grid Hebei (12), State Grid Jiangsu (11), and State Grid Tianjin (10). A secondary cluster links Beihang University with Beijing Beizi Institute of Technology Development (8 joint families). These patterns indicate that the power-grid vertical is pursuing digital twins through coordinated consortium research, while academic-industry ties are forming in aerospace and manufacturing contexts.
Consortium-drivenChina leads filings; US and EPO represent premium prosecution targets
China accounts for 6,993 patent records, making it the largest single jurisdiction by a wide margin. The United States is the second-largest venue with 2,514 records, followed by the EPO at 973, WIPO/PCT at 852, and India at 707. South Korea registers 514 records, placing it fifth. For teams building freedom-to-operate or prosecution strategies, the US–EPO–PCT triangle remains the conventional high-value route, but China’s volume underscores that competitive intelligence must monitor Chinese prosecution closely.
China-dominantGo 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.
| Applicant | Collaborator | Co-filings |
|---|---|---|
| State Grid Corporation of China | China Electric Power Research Institute Co Ltd | 21 |
| State Grid Corporation of China | State Grid Smart Grid Research Institute Co Ltd | 16 |
| Siemens AG | Siemens Corporation | 12 |
| State Grid Corporation of China | State Grid Hebei Electric Power Co Ltd | 12 |
| State Grid Corporation of China | State Grid Jiangsu Electric Power Co Ltd | 11 |
| State Grid Corporation of China | State Grid Tianjin Electric Power Company Marketing Service Center | 10 |
| State Grid Corporation of China | State Grid Beijing Electric Power Company | 9 |
| Beihang University | Beijing Beizi Institute of Technology Development Co Ltd | 8 |
| State Grid Corporation of China | State Grid Hebei Electric Power Research Institute | 7 |
| State Grid Corporation of China | State Grid Shandong Electric Power Research Institute | 7 |
Co-filing pairs, ranked by the number of jointly-filed patent families.
Siemens anchors the field; portfolio entities and industrials contest the second tier
The leader ranking spans industrial automation incumbents, IP-holding entities, IT services firms, and state-owned utilities — a mix that reflects the cross-sector nature of digital twin deployment. Trajectory data show diverging momentum across these groups.
Siemens AG
Siemens AG leads with 422 patent families and a recent-period filing trend of +32%, indicating sustained and accelerating investment. Its technology emphasis spans business-process and operations management (G06Q 10), control and regulating systems (G05B 17), and simulation-oriented digital data processing (G06F 30) — a broad platform footprint that supports digital twin deployment across manufacturing, energy, and infrastructure verticals. The Chinese legal entity (filed under the localized name) contributes 184 recent families to this trajectory.
patent families: 422Strong Force VCN Portfolio 2019 LLC
Strong Force VCN Portfolio 2019 LLC holds 165 patent families with a recent-period trend of +86%, the strongest growth rate among the top five. Its technology focus is concentrated in business and commerce data processing (G06Q 10 and G06Q 30) and AI/machine-learning models (G06N 20), positioning it as an IP-assertion entity rather than a product developer. Strong Force TX Portfolio 2018 LLC (156 patent families) presents a contrasting picture, with a recent-period trend of -78%, suggesting that portfolio is in wind-down or reallocation.
patent families: 165| Applicant | Recent (3 yrs) | Trend |
|---|---|---|
| Siemens AG | 184 | ▲ +32% |
| Strong Force VCN Portfolio 2019 LLC | 104 | ▲ +86% |
| International Business Machines Corporation | 82 | ▲ +12% |
| Strong Force TX Portfolio 2018 LLC | 27 | ▼ -78% |
| Rockwell Automation Technologies Inc | 67 | ▼ -8% |
| Tata Consultancy Services Ltd | 49 | ▼ -26% |
| General Electric Company | 9 | ▼ -80% |
Under-served adjacent branches worth monitoring
Several IPC branches appear in the digital twins corpus but at lower relative share than their technical relevance to twin architectures might suggest. These observations warrant monitoring but should be validated against commercial use-case priority before committing R&D resources.
G05B · Control & regulating systems
G05B accounts for 2,016 patent records — roughly 6% share among the top branches — despite being the most direct technical substrate for closed-loop digital twin operation where the twin actively feeds back into physical system control. The gap between this share and the dominance of data-processing classes suggests that real-time control integration with twin models remains less densely claimed than the modeling layer above it. Teams with expertise in programmable controllers, SCADA, or industrial automation feedback loops may find relatively less-crowded claim space at the twin-to-actuator interface.
Search this in Eureka →G06T · Image data processing & generation
G06T covers image data processing and generation and sits at 1,948 patent records — also approximately 6% share — despite visualization being a core user-facing capability of most deployed digital twin platforms. The intersection of photorealistic rendering, 3D reconstruction, and live sensor overlay with twin data models is technically demanding and commercially differentiated, yet remains a comparatively sparse filing area relative to the workflow and AI layers. Entry paths include geometric modeling, point-cloud integration, and mixed-reality rendering pipelines applied to industrial or infrastructure twin contexts.
Search this in Eureka →How leaders differ by technology route
Strength of each leader across the main technology routes.
| Player | G06F 30 · Electric digital data processing | G06Q 10 · Business, commerce & admin data processing | G06Q 50 · Business, commerce & admin data processing | G06N 3 · Computing based on AI models | G06F 119 · Electric digital data processing |
|---|---|---|---|---|---|
| Strong Force TX Portfolio 2018 LLC | Absent | Strong · 156 | Strong · 115 | Strong · 121 | Absent |
| Siemens AG | Strong · 126 | Strong · 183 | Moderate · 50 | Absent | Absent |
| Strong Force VCN Portfolio 2019 LLC | Absent | Strong · 161 | Emerging · 32 | Moderate · 47 | Absent |
| Digital Global Systems Inc | Strong · 96 | Absent | Absent | Strong · 96 | Absent |
| State Grid Corporation of China | Strong · 83 | Absent | Strong · 65 | Moderate · 25 | Absent |
| Freeport-McMoRan Inc | Absent | Strong · 87 | Strong · 79 | Absent | Absent |
Frequently asked questions
The corpus contains 13,436 patent families in scope. Annual filings have grown substantially since 2017, and the field is classified in a Growth lifecycle stage, with publication lag meaning recent-year counts understate true activity.
Siemens AG leads with 422 patent families. The next tier — Strong Force VCN Portfolio 2019 LLC (165), Strong Force TX Portfolio 2018 LLC (156), IBM (156), and Rockwell Automation (152) — is closely clustered. The top five together account for 24% of the hundred largest filers’ combined total.
China is the leading jurisdiction by patent record count, followed by the United States, the EPO, WIPO/PCT, India, and South Korea. For prosecution strategy, the US–EPO–PCT triangle remains the conventional high-value route, but China’s volume requires active monitoring.
G06F (electric digital data processing) and G06Q (business and administrative data processing) are the two largest IPC branches. G06N (AI and machine-learning methods) is third and growing. G05B (control and regulating systems) and G06T (image data processing) represent meaningful secondary clusters tied to real-time feedback and visualization.
Among top filers with available momentum data, Strong Force VCN Portfolio 2019 LLC shows the highest recent growth at +86% versus its prior period. Siemens AG (under its Chinese filing entity) is up +32%. By contrast, Strong Force TX Portfolio 2018 LLC is down -78% and General Electric is down -80% in recent filings, suggesting portfolio repositioning or wind-down.
The densest co-filing network centers on State Grid Corporation of China, which collaborates most actively with China Electric Power Research Institute (21 joint families), State Grid Smart Grid Research Institute (16), and multiple provincial grid subsidiaries. A secondary academic-industry cluster links Beihang University with Beijing Beizi Institute of Technology Development (8 joint families). These patterns reflect coordinated consortium research in power-grid digital twin applications.
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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.