Stochastic Optimization Patents: Who Leads, Where the Gaps Are 2026
Stochastic Optimization under Renewable Uncertainty Patents
39.7% concentration at the top. The five leading assignees hold 124 of 312 records in scope — a narrow group controls a plurality of filings while a long tail files once or twice. Annual filings rose from 8 in 2017 to a peak of 29 in 2021, then declined to 22 by 2024 — a -24% move over that three-year window. 2025 and 2026 figures are still filling in under the usual publication lag and should not be read as a continued decline.
- 1EXXONMOBIL UPSTREAM RESEARCH COMPANY(US)38
- 2INTERNATIONAL BUSINESS MACHINE CORPORATION27
- 3INTERCONTINENTAL EXCHANGE HOLDINGS INC22
- 4GOLDMAN SACHS & CO LLC21
- 5DOW GLOBAL TECHNOLOGIES LLC16
See the full stochastic optimization under renewable uncertainty 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 concentrated is the patent landscape for stochastic optimization under renewable uncertainty?
It is moderately concentrated at the top and long-tailed below it. The five leading assignees together hold 124 of the 312 records in scope, or 39.7%, and the top ten extend that to 172 records, or 55.1%. That leaves close to half the field spread across 90 or more additional filers, many with just one or two records, so freedom-to-operate risk is not evenly distributed — it clusters around a small group of repeat filers plus a much larger set of isolated filings.
Is patent filing activity in this area growing or slowing?
Filings rose steadily from 8 in 2017 to a peak of 29 in 2021, then fell to 22 by 2024, a -24% change over that three-year span. Because publication lags filing by roughly 18 months, 2025 and 2026 figures in any dataset are still incomplete and should not be read as evidence of continued decline. The honest read is that the field expanded quickly around 2019-2021 and has since settled to a lower but still active filing rate.
What technology classes dominate stochastic optimization patents for renewable energy?
G06Q, the business-and-admin data-processing class, appears on 63.8% of the 312 records in this dataset, ahead of G06N for AI-based computing at 23.4% and G06F for general electric data processing at 22.1%. Power-system-specific classes are present but secondary: H02J covers 11.9% of records and control classes G05B and G05D cover under 5% each. This mix indicates that much of the claim language is written as generalized optimization or risk-computation method claims rather than power-hardware or grid-control claims, which matters for anyone trying to scope a search or a design-around.
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 Stochastic Optimization under Renewable Uncertainty 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.