Machine learning innovation among automotive industry companies has dropped off in the last year

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Research and innovation in machine learning in the automotive manufacturing and supply sector has declined in the last year.

The most recent figures show that the number of related patent applications in the industry stood at 170 in the three months ending March – down from 188 over the same period in 2021.

Figures for patent grants related to followed a different pattern to filings – growing from 19 in the three months ending March 2021 to 33 in the same period in 2022.

The figures are compiled by GlobalData, who track patent filings and grants from official offices around the world. Using textual analysis, as well as official patent classifications, these patents are grouped into key thematic areas, and linked to key companies across various industries.

is one of the key areas tracked by GlobalData. It has been identified as being a key disruptive force facing companies in the coming years, and is one of the areas that companies investing resources in now are expected to reap rewards from.

The figures also provide an insight into the largest innovators in the sector.

Toyota Motor Corp was the top innovator in the automotive manufacturing and supply sector in the latest quarter. The company, which has its headquarters in Japan, filed 42 related patents in the three months ending March. That was the same as 42 over the same period in 2021.

It was followed by the United States based Ford Motor Co with 19 patent applications, Ireland based Aptiv Plc. (18 applications), and Germany based Porsche Automobil Holding SE (16 applications).

Aptiv Plc. Has recently ramped up R&D in . It saw growth of 61.1% in related patent applications in the three months ending March compared to the same period in 2021 – the highest percentage growth out of all companies tracked with more than 10 quarterly patents in the automotive manufacturing and supply sector.



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