Self Supervised Time Series Patents: Who Leads, White Space 2026
Self Supervised Time Series Representation Patents: Who Files, Who Leads
One leader dominates the ranking: the top assignee alone accounts for 53 records, well ahead of a fifth-place holder at 4 and a tenth-place holder at 2. Filings rose from zero in 2017 to a peak of 54 in 2021, then declined to 17 by 2024 — a 69% drop over that three-year span. 2025 and 2026 figures are partial due to publication lag and should not be read against the peak.
- 1QUALCOMM INC53
- 2BACTEROMIC SP ZOO13
- 3ARCHETYPE AI INC6
- 4NOVOIC LTD4
- 5TENCENT TECHNOLOGY (SHENZHEN) CO LTD4
See the full self supervised time series representation 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 on this landscape
How many patents exist for self supervised time series representation learning?
The dataset in scope contains 144 published records spanning 2015 through the 2026-07-31 cut-off, drawn from a search combining time series embedding and self-supervised learning terms with masked reconstruction, contrastive learning, sequence encoder and related technique terms. This counts publications, not distinct inventions, so continuations and multiple jurisdictional filings of the same family can inflate the raw number relative to underlying family counts. Treat 144 as the size of the searched corpus, not a definitive count of every filing that touches this technology worldwide.
Who are the leading filers in self supervised time series representation patents?
The ranking covers 85 assignees, and it is heavily front-loaded: the top-ranked filer alone holds 53 of the 144 records, while fifth place holds only 4 and tenth place holds 2. The top 5 assignees combined account for 55.6% of all records and the top 10 for 63.9%, meaning the great majority of the 85 ranked companies filed only a handful of records each. A freedom-to-operate review should prioritise the leader’s portfolio before working down the long tail.
Is patent filing activity in this field growing or shrinking?
Filing activity rose from zero in 2017 to a peak of 54 records in 2021, then fell 69% to 17 records by 2024 — the last year the data can treat as complete. Because publication typically lags filing by around 18 months, the lower counts shown for 2025 and 2026 are an artefact of records still working through the pipeline, not necessarily a real decline. The honest reading is that activity cooled after a 2021 surge, with the true trajectory for 2025–2026 not yet visible in published data.
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 Self Supervised Time Series Representation 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.