AGV AI & Machine Learning Patents: Who Leads, Where Gaps Are 2026
Automated Guided Vehicle Patents: Mapping the AI and Machine Learning Layer
Filing peaked in 2025 at 33 records after a flat middle stretch (13 in 2022), suggesting the field surged recently rather than growing steadily since 2017. Filings sat at zero in 2017, reached a midpoint of 13 in 2022, and climbed to a peak of 33 in 2025 before the partial 2026 count of 9. That shape — flat, then a late jump — points to AGV-specific AI/ML claiming becoming an active filing strategy only in the last few years, rather than a technology that has been building steadily for a decade.
- 1WALMART APOLLO LLC4.8%
- 2LINGDONG TECH (BEIJING) CO LTD3.6%
- 3SIEMENS AG3.0%
- 4IND TECH RES INST2.4%
- 5AMIT SHUKLA2.4%
See the full automated guided vehicle ai and machine learning 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 AGV AI and ML patents
How many patents cover AGV AI and machine learning technology?
This dataset tracks 168 patent families published between 2015 and mid-2026 that combine automated guided vehicle terminology with AI/ML claim language such as reinforcement learning, deep learning perception, or predictive navigation. That figure is not the full universe of AGV patents generally, since it excludes filings that are purely mechanical or that use AI terms without AGV-specific claims. It also understates the most recent year or two, because publication typically lags filing by around 18 months, so 2025-2026 counts will keep rising as more applications publish.
Which companies are leading AGV reinforcement learning patents?
The corpus shows filing concentrated among a mix of industrial automation firms, e-commerce/logistics companies, and Chinese universities and research institutes, but no single assignee dominates recent-year filing: several named organizations, including large industrial players, recorded zero filings in the latest tracked year. The strongest co-filing relationship in the data is between two named individual inventors rather than two companies, which suggests collaborative or corporate-partnership filing is still limited in this niche. Anyone naming a single ‘leader’ should check the year of that claim, since rankings by cumulative count can differ sharply from current-year momentum.
Why is China dominant in AGV AI patent filings?
China’s receiving office accounts for 96 of the 168 records in this dataset, more than three times the United States total of 29, and well ahead of WIPO PCT, India, Europe and South Korea combined. This reflects both the concentration of AGV manufacturing and warehouse-automation deployment in China and a general pattern of domestic-first filing before international phase entry. For competitive intelligence or clearance work, this means Chinese-language filings carry a disproportionate share of the relevant prior art and should not be treated as a secondary search after English-language sources.
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 Automated Guided Vehicle AI and Machine Learning 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.