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Automotive Artificial Intelligence (AI) Market Next Big Thing | Microsoft, Alphabet, Volvo Car, Tesla, BMW
Automotive Artificial Intelligence
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Major players profiled in the study are:
Alphabet Inc. (United States), Intel Corporation (United States), NVIDIA Corporation (United States), IBM Corporation (United States), Microsoft Corporation (United States), Harman International Industries Inc. (United States), Xilinx Inc. (United States), Qualcomm Inc. (United States), Tesla Inc. (United States), Volvo Car Corporation (Sweden), BMW AG (Germany), Audi AG (Germany), General Motors Company (United States), Ford Motor Company (United States), Toyota Motor Corporation (Japan), Hyundai Motor Corporation (South Korea), Uber Technologies Inc. (United States), Honda Motor Co. Ltd. (Japan), Daimler AG (Germany)
Scope of the Report of Automotive Artificial Intelligence (AI)
Artificial intelligence (AI) systems, which use data and algorithms to mimic the cognitive functions of the human mind, and have the ability to learn and solve problems independently, are rapidly being deployed across a variety of industries and use cases. The automotive industry is among the industries at the forefront of using AI to mimic, augment, and support the actions of humans, while simultaneously leveraging the advanced reaction times and pinpoint precision of machine-based systems. Automotive Artificial Intelligence (AI) in semi-autonomous vehicles and fully autonomous vehicles is rising and the future will rely heavily on AI systems.
On 7th January 2020, the magazines Auto Bild and Computer Bild presented the BMW Group Production with their Connected Car Award in the Pioneer category. The winner is selected by a jury of experts comprised of editors from both publications, honoring particularly innovative solutions, such as the use of artificial intelligence in production. The BMW Group has been applying AI solutions in several use cases in series production for some time now
The Global Automotive Artificial Intelligence (AI) Market segments and Market Data Break Down are illuminated below:
by Type (Automatic Drive, ADAS), Application (Humanâ€"Machine Interface, Semi-autonomous Driving, Autonomous Driving), Technology (Deep Learning, Machine Learning, Context Awareness, Computer Vision, Natural Language Processing), Vehicle Type (Passenger Car, Commercial Vehicle, Others), Process (Signal Recognition, Image Recognition, Data Mining), Component (Hardware, Software, Service)
Market Opportunities:
• Growing Demand for Premium Segment Vehicles
• Increasing Traffic Congestions Due to Rising Urbanization Around the Globe
Market Drivers:
• Increasing Growth in Luxury Vehicle Sales
• Growing Demand for Safety, Convenience, and Comfort Applications in Vehicle
• Rising Demand for Enhanced User Experience and Convenience Features
Market Trend:
• Rising Government Regulations for Vehicle Safety
• Growing Adoption of ADAS Technology By OEMs
What can be explored with the Automotive Artificial Intelligence (AI) Market Study?
• Gain Market Understanding
• Identify Growth Opportunities
• Analyze and Measure the Global Automotive Artificial Intelligence (AI) Market by Identifying Investment across various Industry Verticals
• Understand the Trends that will drive Future Changes in Automotive Artificial Intelligence (AI)
• Understand the Competitive Scenarios
- Track Right Markets
- Identify the Right Verticals
Region Included are: North America, Europe, Asia Pacific, Oceania, South America, Middle East & Africa
Country Level Break-Up: United States, Canada, Mexico, Brazil, Argentina, Colombia, Chile, South Africa, Nigeria, Tunisia, Morocco, Germany, United Kingdom (UK), the 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.
Have Any Questions Regarding Global Automotive Artificial Intelligence (AI) Market Report, Ask Our Experts@ https://www.advancemarketanalytics.com/enquiry-before-buy/93733-global-automotive-artificial-intelligence-ai-market#utm_source=OpenPRVinay
Table of Contents
Global Automotive Artificial Intelligence (AI) Market Research Report
Chapter 1 Global Automotive Artificial Intelligence (AI) Market Overview
Chapter 2 Global Economic Impact on Industry
Chapter 3 Global Market Competition by Manufacturers
Chapter 4 Global Productions, Revenue (Value) by Region
Chapter 5 Global Supplies (Production), Consumption, Export, Import by Regions
Chapter 6 Global Productions, Revenue (Value), Price Trend by Type
Chapter 7 Global Market Analysis by Application
Chapter 8 Manufacturing Cost Analysis
Chapter 9 Industrial Chain, Sourcing Strategy and Downstream Buyers
Chapter 10 Marketing Strategy Analysis, Distributors/Traders
Chapter 11 Market Effect Factors Analysis
Chapter 12 Global Automotive Artificial Intelligence (AI) Market Forecast
Finally, Automotive Artificial Intelligence (AI) Market is a valuable source of guidance for individuals and companies.
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Thanks 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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About Author:
Advance Market Analytics is Global leaders of Market Research Industry provides the quantified B2B research to Fortune 500 companies on high growth emerging opportunities which will impact more than 80% of worldwide companies' revenues.
Our Analyst is tracking high growth study with detailed statistical and in-depth analysis of market trends & dynamics that provide a complete overview of the industry. We follow an extensive research methodology coupled with critical insights related industry factors and market forces to generate the best value for our clients. We Provides reliable primary and secondary data sources, our analysts and consultants derive informative and usable data suited for our clients business needs. The research study enables clients to meet varied market objectives a from global footprint expansion to supply chain optimization and from competitor profiling to M&As.
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