Behind the Headlines: Artificial Intelligence and the Challenges to Using AI in the Automotive Industry
Today’s advanced call centers and virtual digital assistants make it clear that artificial intelligence (AI) systems, which essentially use data and algorithms to mimic the cognitive functions of the human mind, including the ability to learn and solve problems independently, are rapidly making their way into all facets of society. Not surprisingly, the automotive industry has seen the promise of such technology, and is among the industries at the forefront of using AI to augment human actions and to mimic the actions of humans, while also harnessing the advanced reaction times and pinpoint precision of machine-based systems. Both semi-autonomous and the fully autonomous vehicles of the future will rely heavily on AI systems.
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But AI is not restricted to autonomous driving. Suppliers and automakers realize that the AI engines can also be used to make life in the car more convenient, for both the driver and the passengers. Using natural language processing (NLP) and machine learning techniques make it possible to create in-car assistants that can respond to voice commands and infer what actions to take, without needing a direct command. Both types of systems are on their way into vehicles, although their respective introductions may be made gradually, due to safety concerns, as well as a desire to ensure that the systems work as naturally and as smoothly as possible.
Who Needs This Report?
• Automobile OEMs
• Automotive suppliers
• Semiconductor, component, and sensor companies
• Artificial intelligence software developers
• Logistics providers
• Systems integrators
• Government agencies
• Investor community
Top Industry Players:
This report studies the global Artificial Intelligence for Automotive Applications market, analyzes and researches the Artificial Intelligence for Automotive Applications development status and forecast in United States, EU, Japan, China, India and Southeast Asia. This report focuses on the top players in global market, like: AImotive, Argo AI, Astute Solutions, Audi, BMW.
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• This report provides a quantitative analysis of the current trends, estimations, and dynamics of the global Artificial Intelligence for Automotive Applications market from 2018 to 2023 to identify the prevailing market opportunities.
• The key countries in all the majors regions are mapped based on their market share.
• Major countries in each region are mapped according to their revenue contribution to the global industry. Market player positioning segment facilitates benchmarking and provides a clear understanding of the present position of market players.
• The report includes in details the analysis of the regional as well as global market, key players, market segments, and application areas, and growth strategies.
On the basis of product, this report displays the production, revenue, price, market share and growth rate of each type, primarily split into
• Machine Learning
• Neural Networks
On the basis on the end users/applications, this report focuses on the status and outlook for major applications/end users, consumption (sales), market share and growth rate of Artificial Intelligence for Automotive Applications for each application, including
• Autonomous Driving
• Driver and Passenger Personalization and Enhancement
• Enhanced Ability to Capture Data
Geographically, this report is segmented into several key Regions, with production, consumption, revenue (million USD), market share and growth rate of Artificial Intelligence for Automotive Applications in these regions, from 2012 to 2022 (forecast), covering
• United States
• South Korea
Browse Report @ https://www.futuregenicreports.com/Reports/Artificial-Intelligence-for-Automotive-Applications-Market
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