An In-Depth Study Exploring the Automotive Artificial Intelligence Market: Key Players Toyota Motor, Qualcomm, Tesla, Daimler AG

This press release was originally issued by SBWire

NJ New Jersey, United States — (SBWIRE) – 26/10/2022 – Advance Market Analytics has published a new research publication on “Automotive Artificial Intelligence Market Insights, to 2027” with 232 pages and enriched with self-explained tables and graphs in a presentable format. In the study, you will find new evolving trends, drivers, restraints, and opportunities generated by targeting stakeholders associated with the market. The growth of the automotive artificial intelligence market was mainly driven by increasing R&D expenditures across the globe.

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Some of the Key Players profiled in the study are: Alphabet Inc. (US), Microsoft Corporation (US), IBM Corporation (US), Intel Corporation (US), Harman International Industries Inc. ( USA), Xilinx Inc. (USA), Qualcomm Inc. (USA), Tesla Inc. (USA), General Motors Company (USA), Ford Motor Company (USA), Uber Technologies Inc. (USA), BMW AG (Germany), Audi AG (Germany), Daimler AG (Germany), Toyota Motor Corporation (Japan), Honda Motor Co. Ltd. (Japan), Hyundai Motor Corporation (South Korea), Volvo Car Corporation (Sweden).

Automotive Artificial Intelligence Report Scope
Automotive artificial intelligence refers to a system embedded in vehicles that have the ability to mimic the cognitive functions of the human mind, have the ability to learn and solve problems independently, and are rapidly deployed in a variety of industries and use cases. It controls the on-board system and ends up preventing the accident. AI in automobile for smart mobility where AI will be the driver, and passengers can not worry about the possibilities of traffic jam as the vehicle will have the ability to choose the best route, emergency control, fuel condition and other important aspects. According to AMA, the global automotive artificial intelligence market is expected to witness a growth rate of 37.86% and could reach a market size of USD 9537.46 million by 2026.

The titled segments and sub-sections of the market are illuminated below:
by type (hardware, software), application (human-machine interface, semi-autonomous driving, autonomous driving), technology (deep learning, machine learning, context awareness, computer vision, natural language processing), process (recognition of Signal, Image Recognition, Data Mining)

Market factors:
Increasing adoption of ADAS technology by OEMs
Government regulations for vehicle safety in emerging economies

Market trends:
Technology Advancement and IoT Adoption
Growing demand for autonomous vehicles performing all driving functions

Increase in demand for premium segment vehicles
Improve energy efficiency

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Recently, Nuance communication announced a new AI research center that will focus on smart and self-driving car technologies. AMA Research analysts believe that vendors from the United States will contribute maximum growth to the global automotive artificial intelligence market throughout the forecasted period. Both established and emerging vendors need to take a closer look at their existing organizations and reinvent traditional business and operating models to adapt to the future.

Regions included are: North America, Europe, Asia-Pacific, Oceania, South America, Middle East and Africa

Country level breakdown: United States, Canada, Mexico, Brazil, Argentina, Colombia, Chile, South Africa, Nigeria, Tunisia, Morocco, Germany, United Kingdom (UK), Netherlands, Spain, Italy, Belgium , Austria, Turkey, Russia, France, Poland, Israel, United Arab Emirates, Qatar, Saudi Arabia, China, Japan, Taiwan, South Korea, Singapore, India, Australia and New Zealand, etc.

Strategic Points Covered in Table of Content of Global Automotive Artificial Intelligence Market:
Chapter 1: Introduction, Product Market Driving Force Study Objective and Research Scope of Automotive Artificial Intelligence Market
Chapter 2: Exclusive Summary – the basic information of Automotive Artificial Intelligence Market.
Chapter 3: Displaying Market Dynamics – Automotive Artificial Intelligence Drivers, Trends and Challenges and Opportunities
Chapter 4: Introducing Automotive Artificial Intelligence Market Factor Analysis, Porters Five Forces, Supply/Value Chain, PESTEL Analysis, Market Entropy, Patent/Trademark Analysis.
Chapter 5: Product Display by Type, End User and Region/Country 2015-2020
Chapter 6: Evaluating the leading manufacturers of Automotive Artificial Intelligence Market which includes its Competitive Landscape, Peer Group Analysis, BCG Matrix and Company Profile
Chapter 7: To assess the market by segments, by countries and by manufacturers/company with revenue share and sales by key countries in these various regions (2021-2027)
Chapter 8 & 9: Viewing the appendix, methodology and data source

Finally, Automotive Artificial Intelligence Market is a valuable source of guidance for individuals and businesses.

Read the detailed index of the full research study at @

Thank you for reading this article; you can also get individual chapter wise section or region wise report version like North America, Middle East, Africa, Europe or LATAM, Southeast Asia.

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