Trends in innovation, investment and employment

Trends in innovation, investment and employment


This article provides a quarterly summary of the latest trends in the automotive industry regarding artificial intelligence. It provides an overview of recent developments in AI-related deals, talent acquisition, and patent filings in the automotive industry.

Various applications of artificial intelligence in the automotive industry

Automotive companies are leveraging artificial intelligence (AI) technologies to innovate and improve their businesses. Recent patents reveal applications of artificial intelligence in various fields. One patent focuses on predicting crop yields at the field and pixel level, using high-altitude digital images and other data points to estimate crop yields. Another patent discusses machine learning for anomaly detection based on login events, where supervised and unsupervised machine learning models are used to generate likelihood scores and contribution scores to identify anomalous login event data. Additionally, the patent describes sequential processing schedule management based on a machine learning model, using scheduling algorithms to define execution environments for machine learning requests. Finally, the patent provides contextual enhancement of user service queries, improving service queries based on user context and creating predictable modifications. These patents provide automotive companies with valuable AI technologies and applications to enhance their operations and decision-making processes.

The industry saw a 30% decline in the number of AI-related patent applications in the third quarter of 2023 compared to the previous quarter. On an annual basis, the number of patent applications related to artificial intelligence in the automotive industry saw a decrease of 19% compared to the third quarter of 2022.

Strategic deal trends in artificial intelligence in the automotive industry

Automotive companies are not only focusing on innovation to strengthen their patent portfolios, but are also making strategic investments in artificial intelligence. These investments aim to secure profitable deals with partners and position themselves at the forefront of developments in the industry. Some recent deals underscore the importance of artificial intelligence in the automotive industry.

In the third quarter of 2023, the number of deals related to AI in the automotive industry grew by 22% compared to the third quarter of 2022. On a quarterly basis, there was a 22% increase in the number of deals in the third quarter of 2023 compared to the previous quarter.

Impact on employment

In terms of new job posting, in the third quarter of 2023, the automotive industry saw a 6% decline compared to the previous quarter. On a yearly basis, job postings also decreased by 26%. Notably, computer and math occupations, with a 25% share, emerged as the top AI-related job roles in the automotive industry in Q3 2023, with new job postings down 4% quarter-on-quarter. Architectural and engineering professions came in second place with a 14% share in the third quarter of 2023, with new job postings rising by 8% compared to the previous quarter. Other notable AI roles include administrative occupations with an 8% share in Q3 2023, and installation, maintenance and repair occupations with a 5% share of new job postings.

Robert Bosch, Continental, Tesla, AB Volvo, and Valeo are among the top companies leading the way in employing AI in the automotive industry.

Countries leading the adoption of artificial intelligence in the automotive industry

The United States is the leading country in adopting AI in the automotive industry, with the largest number of AI-related patents, jobs, and deals. Meanwhile, Japan, China, South Korea and Germany also maintain important positions in adopting AI in the automotive industry.

In summary, the automotive industry’s integration with artificial intelligence (AI) highlights the strategic focus on patent acquisition, investments, and talent acquisition. Despite the recent decline in AI-related patent applications, the sector’s resilience is demonstrated by increased strategic deals and growth. Expand partnerships, and demonstrate continued commitment to advancing AI within the industry.

To further understand GlobalData’s analysis on AI in the automotive industry, purchase the report here.

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

GlobalData Patent Analytics tracks bibliographic data, legal event data, real-time patent ownerships, and backward and forward citations from global patent offices. Textual analysis and formal patent classifications are used to group patents into key subject areas and link them to specific companies across the world’s largest industries.


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