Automotive industry

Machine learning innovation among automotive companies has plummeted over the past year

Machine learning research and innovation in the automotive manufacturing and supply sector has declined over the past year.

The latest figures show the number of related patent applications in the industry stood at 170 in the three months to March, compared to 188 in the same period in 2021.

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

The figures are compiled by GlobalData, which tracks 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 subject areas and linked to key companies in various industries.

is one of the key areas tracked by GlobalData. It has been identified as a key disruptive force that companies will face in the years to come, and it is one of the areas where companies currently investing resources should reap rewards.

The numbers also provide insight into the biggest innovators in the industry.

Toyota Motor Corp was the leading innovator in the automotive manufacturing and supply sector during the last quarter. The Japan-headquartered company filed 42 related patents in the three months to March. It was the same as 42 over the same period in 2021.

It was followed by US-based Ford Motor Co, with 19 patent applications, Ireland-based Aptiv Plc. (18 requests) and Porsche Automobil Holding SE, based in Germany (16 requests).

Aptiv Plc. Recently accelerated R&D in . It recorded a 61.1% growth in related patent applications in the three months ending March compared to the same period in 2021 – the highest percentage growth of any company tracked with more than 10 patents quarterly reports in the automotive manufacturing and supply sector.