The global automotive industry experienced a 43% drop in company filings mentions of autonomous vehicles in Q1 2024 compared with the previous quarter, with the highest share accounted for by Aptiv with 27% year-on-year decrease, according to GlobalData’s analysis of over 74 automotive company filings. GlobalData’s Automotive: Filings Trends & Signals Q1 2024 report delves into earnings call transcripts and quarterly reports within the automotive industry, extracting trends, signals, and comparative data to help businesses assess their performance, identify competitive intelligence, evaluate risks, and gain a comprehensive understanding of key industry events. Buy the report here.

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Data Insights Automotive: Filings Trends & Signals Q1 2024

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Notably, autonomous vehicles was one of the most frequently referenced themes in Q1 2024, ranking highest in terms of mentions, ahead of artificial intelligence and mobile, according to GlobalData.

Of the top leading companies in the automotive industry, Aptiv had the greatest increase in references for autonomous vehicles in Q1 2024, compared with the previous quarter. GlobalData identified 40 autonomous vehicles-related sentences in the company's filings - 2% of all sentences - and a decrease of 27% in Q1 2024 compared with Q1 2023. Magna International’s mentions of autonomous vehicles rose by 225% to 13 and General Motors’s by 68% to 12 and Li Auto’s by 500% to 12.

GlobalData’s Company Filings Analytics also applies sentiment weight to reference sentences, based on whether the sentences are positive, negative, or neutral. Starting at 100 in 2020, an index over 100 is more positive. The overall index for autonomous vehicles in Q1 2024 was 76.

For further understanding of GlobalData's Automotive: Filings Trends & Signals Q1 2024, buy the report here.

This content was updated on 24 April 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 Company Filings Analytics uses machine learning to uncover key insights and track sentiment across millions of regulatory filings and other corporate disclosures for thousands of companies across the world’s largest industries.