According to a new market report published by Lucintel, the future of the global automotive artificial intelligence market looks promising with opportunities in the human–machine interface, semi-autonomous driving, and autonomous driving segments. The global automotive artificial intelligence market is expected to grow with a CAGR of 39% from 2021 to 2026. The major drivers for this market are increase in scope of computer vision in autonomous vehicles for signal recognition, driver monitoring, and increase in automation.
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In this market, deep learning, machine learning, context awareness, computer vision, and natural language processing are the major technologies used in automotive artificial intelligence. On the basis of comprehensive research, Lucintel forecasts that deep learning technology will remain the largest technology segment, and it is also expected to witness the highest growth over the forecast period because of usage by most of the automotive companies for self driving cars.
Within the global automotive artificial intelligence market, the data mining segment is expected to witness the highest growth over the forecast period due to the huge volumes of data generated and processed in vehicles.
APAC is expected to remain the largest market and witness the highest growth over the forecast period due to population, fast-growing economies, and rising living standards.
NVIDIA Corporation, Alphabet Inc., Intel Corporation, IBM Corporation, Microsoft Corporation, Harman International Industries Inc., Xilinx Inc., Qualcomm Inc., Tesla Inc., Volvo Car Corporation, BMW AG, Audi AG, General Motors Company, Ford Motor Company, Toyota Motor Corporation, Hyundai Motor Corporation, Uber Technologies Inc., Honda Motor Co. Ltd., Daimler AG, and Didi Chuxing are among the major suppliers of the automotive artificial intelligence market.
Lucintel, a leading global strategic consulting and market research firm, has analyzed growth opportunities in the global automotive artificial intelligence market by technology, process, application, offering, and region, and has compiled a comprehensive research report titled “Growth Opportunities in the Global Automotive Artificial Intelligence Market 2021-2026: Trends, Forecast, and Opportunity Analysis.” The Lucintel report serves as a catalyst for growth strategy by providing comprehensive data and analysis on trends, key drivers, and directions. The study includes trends and forecast for the global automotive artificial intelligence market by technology, process, application, offering, and region, as follows:
By Technology [Value ($ Million) from 2015 to 2026]:
Deep Learning
Machine Learning
Context Awareness
Computer Vision
Natural Language Processing
By Process [Value ($ Million) from 2015 to 2026]:
Signal Recognition
Image Recognition
Data Mining
By Application [Value ($ Million) from 2015 to 2026]:
Human–Machine Interface
Semi-autonomous Driving
Autonomous Driving
By Offering [Value ($ Million) from 2015 to 2026]:
By Region [Value ($ Million) from 2015 to 2026]:
North America
United States
Canada
Mexico
Europe
APAC
ROW
This more than 150-page research report will enable you to make confident business decisions in this globally competitive marketplace. For a detailed table of contents, contact Lucintel at +1-972-636-5056 or visit us at helpdesk@lucintel.com.
About Lucintel
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