Speech & Language AI Patents: Top Companies & Filing Trends 2026
Speech & Language AI Patents: Who Leads and Where Filing Is Headed
15.1% concentration at the top. The five leading assignees combine for 16,348 of the 107,918 records in scope — a real lead, but not a lock on the field. Annual filings climbed from 689 in 2017 to a peak of 1,447 in 2023, with 2021-to-2024 filings up 5% (1,330 to 1,400). The 2025 and 2026 figures are undercounts because publication typically lags filing by around 18 months — they should not be read as a slowdown.
- 1MICROSOFT TECHNOLOGY LICENSING LLC3.9%
- 2GOOGLE LLC3.1%
- 3INTEL CORP3.0%
- 4SAMSUNG ELECTRONICS CO LTD2.7%
- 5INTERNATIONAL BUSINESS MACHINE CORPORATION2.5%
See the full speech & language ai patent landscape 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 speech and language AI patents
Who holds the most speech and language AI patents?
Across the 107,918 records in this dataset, filing is concentrated among a small set of large technology licensing entities, device makers and cloud platforms, with the leading assignee holding 4,216 records. The top five combined account for 16,348 records, or 15.1% of all records in scope, and the top ten reach 24.1%. That leaves a long tail of smaller filers holding the majority of the field, so no single company controls the claim space outright.
Is the speech and language AI patent field still growing?
Yes, through the last complete filing year the trend was positive: annual filings rose from 1,330 in 2021 to 1,400 in 2024, a 5% increase, with 2023 marking the highest single year so far at 1,447 filings. The 2025 and 2026 figures in the dataset look lower, but that reflects publication lag — patents typically publish around 18 months after filing — rather than an actual slowdown in activity.
Which patent classes cover the most speech and language AI filings?
G10L, covering speech and audio analysis and synthesis, is the largest single class, appearing in 12.5% of all 107,918 records. G06F (electric digital data processing) follows at 5.4% and G06N (AI-model computing) at 3.9%, with image recognition, business-data processing and telephonic communication classes each below 1%. Because a single patent can carry several IPC classes, these percentages are each measured against the full record total and are not meant to sum to 100%.
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 Speech & Language AI Patent Landscape covering 2015–2026, data cut-off 2026-08-31. 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.