Automotive Artificial Intelligence Market Trends, Size, Technology and Future Growth 2032

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Automotive Artificial Intelligence Market Trends, Size, Technology and Future Growth 2032: SPER Market Research



 Published: Dec-2022
 Author: SPER Analyst


Global Automotive Artificial Intelligence Market is projected to be worth USD 20.50 billion by 2032.

By enabling companies to track operations, improve digital outcomes, and create autonomous and partially autonomous vehicles, the introduction of Artificial Intelligence (AI) in the automobile industry ushers in a new era. The primary drivers of the global automotive AI market are the increasing demand for autonomous vehicles, the application of AI in traffic management, cutting-edge automotive technology, and government initiatives. However, the absence of infrastructure, expensive operational costs, and high procurement costs continue to remain roadblocks.Recently, the automobile sector has increased its use of AI.

The market for artificial intelligence in the automotive industry has drastically decreased over the previous two years in the COVID-19 era. According to the International Organization of Motor Vehicle Manufacturers, the COVID-19 conundrum, for instance, resulted in a 16% decrease in global vehicle manufacturing in 2020. However, the market will grow significantly in the future years.


The Automotive Artificial Intelligence Marketstudy provides market data by competitive landscape, revenue analysis, market segments and detailed analysis of key market players such as; Alphabet Inc., Audi AG, BayerischeMotoren Werke AG, Intel Corporation, International Business Machines, Microsoft Corporation, NVIDIA Corporation, Qualcomm Inc., Tesla Inc., Volvo Car Corporation

SPER Market Research study aims to provide market dynamics, demand and supply with yearly forecast to 2032. This report provides data for growth estimates and forecasts for product type segment– By Component(Hardware, Software), By Level of Autonomy(Level1, Level2, Level3, Level4), By Technology (Machine Learning, Natural Language Processing, Computer Vision, Others), By Vehicle Type (Passenger Vehicles, Commercial Vehicles), By Process (Single Recognition, Image Recognition, Data Mining), By Application (Semi-Automatic, Human Machine Interface, Autonomous Driving).


This report also provides the data for key regional segments of North America, Europe, Asia-Pacific and Rest of the World. 

This study also encompasses various drivers and restraining factors of this market for the forecast period. Various growth opportunities are also discussed in the report.

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