The global automotive industry experienced a 32% decline in the number of autonomous vehicles-related patent applications in Q1 2023 compared with the previous quarter. The total number of autonomous vehicles-related grants dropped by 68% in Q1 2023, according to GlobalData’s Patent Analytics. Driven by environmental benefits and its effect on fuel economy, the autonomous light vehicle sector has an emerging role to play in various sectors. The market size analysis, major suppliers, top 14 markets, technology trends and detailed related-componeGlobalData’s Automotive Autonomous Vehicles Market Trend Analysis and Forecast, 2021-2036 report. Buy the report here.

Notably, the number of autonomous vehicles-related patent applications in the automotive industry was 312 in Q1 2023, versus 461 in the prior quarter.

The top five companies accounted for 21% of patenting activity

Analysis of patenting activity by companies shows that Toyota Motor filed the most autonomous vehicles patents within the automotive industry in Q1 2023. The company filed 17 autonomous vehicles-related patents in the quarter, compared with 23 in the previous quarter. It was followed by Aptiv with 17 autonomous vehicles patent filings, Hyundai Motor (13 filings), and Ford Motor (10 filings) in Q1 2023.

Patenting activity was driven by South Korea with a 19% share of total patent filings

The largest share of autonomous vehicles related patent filings in the automotive industry in Q1 2023 was in South Korea with 19%, followed by China (13%) and the US (10%). The share represented by South Korea was 10% higher than the 8% share it accounted for in Q4 2022.

For further understanding of GlobalData's Automotive Autonomous Vehicles Market Trend Analysis and Forecast, 2021-2036 buy the report here.

GlobalData

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.