The global aerospace, defence & security industry experienced a 19% decline in the number of artificial intelligence-related patent applications in Q1 2024 compared with the previous quarter. The total number of artificial intelligence-related grants rose by 3% in Q1 2024, according to GlobalData’s Patent Analytics. GlobalData’s databook Aerospace, Defense & Security: Patents Trends Q1 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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Notably, the number of artificial intelligence-related patent applications in the aerospace, defence & security industry was 356 in Q1 2024, versus 442 in the prior quarter.
The top five companies accounted for 15% of patenting activity
Analysis of patenting activity by companies shows that RTX filed the most artificial intelligence patents within the aerospace, defence & security industry in Q1 2024. The company filed 14 artificial intelligence-related patents in the quarter, compared with 15 in the previous quarter. It was followed by Boeing with 13 artificial intelligence patent filings, Airbus (10 filings), and BAE Systems (8 filings) in Q1 2024.
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Patenting activity was driven by the US with a 49% share of total patent filings
The largest share of artificial intelligence related patent filings in the aerospace, defence & security industry in Q1 2024 was in the US with 49%, followed by China (15%) and Japan (3%). The share represented by the US was 12% higher than the 37% share it accounted for in Q4 2023.
For further understanding of GlobalData's Aerospace, Defense & Security: Patents Trends Q1 2024, buy the databook here.
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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.
