PET Image Reconstruction Patents: Who Leads, Trends 2026
PET Image Reconstruction Patents: Filing Trends and Leading Assignees
22.5% of all filings sit with five companies, yet the ranked list runs to 100 names, pointing to a long tail below the leaders. Filings ran 789 in 2017, climbed to a peak of 884 in 2019, then declined to 512 by 2024 — a 34% drop from the 777 filed in 2021. Counts for 2025 and 2026 are still low because publication typically lags filing by around 18 months; they should not be read as a continuing collapse until later data fills in.
- 1KONINKLIJKE PHILIPS NV10.2%
- 2SIEMENS HEALTHINEERS AG3.8%
- 3GE PRECISION HEALTHCARE LLC3.1%
- 4SHANGHAI UNITED IMAGING HEALTHCARE3.0%
- 5GENERAL ELECTRIC CO2.4%
See the full pet image reconstruction 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 PET image reconstruction patents
Who holds the most patents in PET image reconstruction?
One assignee leads the ranked list with 1,275 records, well ahead of the fifth-placed assignee at 302 and the tenth at 166. That said, the top 5 assignees combined hold only 22.5% of the 12,533 records in scope, and the ranking extends to 100 assignees, so leadership is concentrated at the very top but the wider field remains open. Anyone assessing competitive position should look at both the leader gap and the size of the tail below it.
Is patent filing in PET image reconstruction growing or shrinking?
Filings peaked in 2019 at 884 and then declined, falling 34% from 777 in 2021 to 512 in 2024, the most recent year with a complete publication record. Counts for 2025 and 2026 look lower still, but that is expected because publication typically lags filing by about 18 months, so those years are not yet fully reported. Based on the complete years, the honest read is a genuine pullback from the 2019 peak rather than continued growth.
How much of PET reconstruction patent activity involves AI or deep learning?
The AI-model computing class (G06N) appears in 10.4% of the 12,533 records in scope, compared with 44.4% for general image data processing (G06T). This indicates deep learning denoising and related AI techniques are present but still a minority layer, usually claimed alongside conventional iterative reconstruction methods rather than as a fully standalone architecture. Filers should not assume AI framing dominates claim language in this space yet.
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 PET Image Reconstruction 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.