Simulation to Reality Transfer Patents: who holds the sim-to-real claim space
Concentrated at the top. The top 5 assignees hold 59.0% of all 188 records in scope, with the leader alone filing 37. Filings rose from a single record in 2017 to a peak of 63 in 2020, then declined; the 2021-to-2024 span moved from 25 to 14 records, a -44% change over three years. 2025 and 2026 figures are still filling in due to publication lag and should not be read against that decline.
- 1NVIDIA CORP37
- 2GDM HOLDING LLC24
- 3DASSAULT SYSTEMES SA21
- 4GOOGLE LLC18
- 5TELEFONAKTIEBOLAGET LM ERICSSON (PUBL)11
See the full simulation to reality transfer analysis in Eureka
- The complete ranking, not just the top five
- Every IPC branch with its share of the corpus
- The most-cited records, and where claim space is still thin
Common questions about sim-to-real transfer patents
Who holds the most patents in simulation to reality transfer?
One assignee leads the field with 37 of the 188 records in scope, well ahead of the rest of the ranked leaders. The top 5 assignees together hold 59.0% of all records, and the top 10 extend that to 73.9%, so the field is concentrated rather than evenly spread. Beyond the top 10, the ranking of 50 companies shows a long tail of firms with only a handful of filings each, which is typical of a technology still consolidating around a few dominant filers.
Is patent filing in sim-to-real transfer growing or slowing?
Filing volume rose sharply to a peak of 63 records in 2020, then declined through the last complete year of data: from 25 records in 2021 to 14 in 2024, a -44% move. Because patent publication lags filing by roughly 18 months, the 2025 and 2026 figures in any chart are still incomplete and should not be read as continued decline. The honest read through 2024 is a real pullback from the 2020 peak, not a permanently shrinking field.
Which patent classes cover simulation to reality transfer technology?
The two largest IPC subclasses are B25J, covering manipulators and robots at 42.0% of the 188 records, and G06N, covering AI-based computing, at 40.4%. G06T image data processing follows at 29.3%, with smaller shares in G06V image recognition, G05B control systems, G06F digital data processing, G06K data recognition and G05D non-electric control. Because a single record can carry several IPC classes, these percentages add up to well over 100% and each should be read against the 188-record total rather than against each other.
Disclaimer. This analysis is based on Patsnap Eureka data drawn from a limited snapshot of global patent records and is provided for general information and reference only. Patent data carries inherent limitations — recent filings are under-counted because of publication lag, counts may be on a record or family basis, classification and applicant-name data may contain errors or duplicates, and the underlying search query defines the scope shown — so the analysis may be incomplete or inaccurate and may not reflect the full technology landscape.
Nothing here is an exhaustive prior-art, novelty, freedom-to-operate or validity search, nor does it constitute legal, financial or professional advice, and it should not be relied upon as such. Verify independently and review with qualified patent and legal professionals before acting on it.
Method: Filing trend and technology composition. Derived from a Patsnap search on Simulation to Reality Transfer covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish. Every share divides by all records in scope. Data: Patsnap Eureka. See the full landscape report.