Patent applications related to artificial intelligence decreased by 30% per year on average in the beverages industry since 2020
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The global beverages industry experienced a 30% decrease in annual average growth rate (AAGR) in the number of artificial intelligence-related patent applications between 2020 and 2022. The total number of artificial intelligence-related grants increased by an AAGR of 59% during the same period, according to GlobalData's patent analytics database.
Notably, the number of artificial intelligence-related patent applications in the beverages industry was 96 since 2020, while 47 applications were granted.
The top five assignees by filings accounted for 89% of patent applications
Analysis of patent applications by assignee shows that Nuro filed the most artificial intelligence patents within the beverages industry since 2020. The company filed 56 artificial intelligence-related patents since 2020.
It was followed by Gruppo illy (4 applications), Gruppo Cimbali (3 applications), Krones (3 applications) and CEA (1 application).
The top five assignees by grants accounted for 54% of successful patent grants
Analysis of patent grants by companies shows that Nuro was granted 15 patents related to artificial intelligence within the beverages industry since 2020. It was followed by Jiangsu University (4 grants), Gruppo illy (2 grants), Zhejiang University (2 grants) and Gruppo Cimbali (1 grant).
Patent activity was driven by China with a 38% share of total patent publications
The largest share of artificial intelligence-related patent publications in the beverages industry since 2020 was held by China with 38%, followed by the US (33%) and Japan (11%).
GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.
GlobalData’s Patents Analytics tracks patent filings and grants from official patent offices around the world. Proprietary analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.