The global automotive industry experienced a 15% decline in the number of artificial intelligence-related patent applications in Q2 2024 compared with the previous quarter. The total number of artificial intelligence-related grants rose by 1% in Q2 2024, according to GlobalData’s Patent Analytics. GlobalData’s databook Automotive: Patents Trends Q2 2024 offers comprehensive insights into patenting trends, major players’ strategies, and geographical focus in the sector over the last three years. Buy the databook here.

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Data Insights Automotive: Patents Trends Q2 2024

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Notably, the number of artificial intelligence-related patent applications in the automotive industry was 10,162 in Q2 2024, versus 12,018 in the prior quarter.

The top five companies accounted for 8% of patenting activity

Analysis of patenting activity by companies shows that Samsung Group filed the most artificial intelligence patents within the automotive industry in Q2 2024. The company filed 262 artificial intelligence-related patents in the quarter, compared with 199 in the previous quarter. It was followed by Robert Bosch Stiftung with 199 artificial intelligence patent filings, Alphabet (168 filings), and Microsoft (100 filings) in Q2 2024.

Patenting activity was driven by China with a 38% share of total patent filings

The largest share of artificial intelligence related patent filings in the automotive industry in Q2 2024 was in China with 38%, followed by the US (26%) and Japan (4%). The share represented by China was 6% lower than the 44% share it accounted for in Q1 2024.

For further understanding of GlobalData's Automotive: Patents Trends Q2 2024, buy the databook here.

This content was updated on 17 July 2024

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GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.

GlobalData’s Patent Analytics tracks patent filings and grants from official offices around the world. Textual 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.