The global pharmaceutical industry experienced a 52% rise in the number of artificial intelligence-related patent applications in Q2 2023 compared with the previous quarter. The total number of artificial intelligence-related grants rose by 15% in Q2 2023, according to GlobalData’s Patent Analytics. Artificial Intelligence is among the top emerging technologies being employed for drug discovery and development and has demonstrated strong potential in the Pharmaceutical sector. GlobalData’s Artificial Intelligence (AI) in Drug Discovery Market – Thematic Research report provides detailed understanding of key trends, industry analysis, AI specialists in drug discovery. Buy the report here.
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Notably, the number of artificial intelligence-related patent applications in the pharmaceutical industry was 70 in Q2 2023, versus 46 in the prior quarter.
The top five companies accounted for 29% of patenting activity
Analysis of patenting activity by companies shows that Koninklijke Philips filed the most artificial intelligence patents within the pharmaceutical industry in Q2 2023. The company filed 13 artificial intelligence-related patents in the quarter. It was followed by Japanese Foundation for Cancer Research with 2 artificial intelligence patent filings, Syqe Medical (2 filings), and Hangzhou DAC Biotech (2 filings) in Q2 2023.
Patenting activity was driven by the US with a 50% share of total patent filings
The largest share of artificial intelligence related patent filings in the pharmaceutical industry in Q2 2023 was in the US with 50%, followed by China (23%) and Japan (3%). The share represented by the US was 15% lower than the 65% share it accounted for in Q1 2023.
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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.
