Automotive Artificial Intelligence Market 2017 Global Trend, Segmentation and Opportunities Forecast To 2023

Automotive Artificial Intelligence -Market Demand, Growth, Opportunities and Analysis Of Top Key Player Forecast To 2022

Automotive Artificial Intelligence Industry

Description

Wiseguyreports.Com Adds “Automotive Artificial Intelligence -Market Demand, Growth, Opportunities and Analysis Of Top Key Player Forecast To 2022” To Its Research Database

The Global Automotive Artificial Intelligence Market accounted for $563.58 million in 2016 and is expected to reach $5,265.81 million by 2023 growing at a CAGR of 37.6% during the forecast period. The automotive industry has seen the promise of artificial intelligence (AI) technology, and is among the industries at the forefront of using AI to augment human actions and to mimic the actions of humans. The arrival of standards such as the adaptive cruise control (ACC), blind spot alert, and advanced driver assistance systems (ADAS) and rising demand for convenience and safety presents an opportunity for OEMs to build up novel and innovative artificial intelligence systems that would attract customers.

Although 2016 was spoiled by some technological failures in self-driving cars, the year also observed a couple of successful test runs in the US. Uber had ordered Swedish car maker Volvo for a fleet of self-driving cars. 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 depend heavily on AI systems. NVIDIA is collaborating with Toyota to deliver artificial intelligence hardware and software technologies that will improve the capabilities of autonomous driving systems planned for market introduction within the next few years. Mercedes-Benz and NVIDIA have announced a partnership to bring an NVIDIA AI-powered car to market.

North America is expected to command the largest market share in automotive AI market in 2017. The existence of incentives and huge funding from governments plays a key role in the development of this technology. For instance, in 2016, the US government has spent USD 4.00 billion to speed up the acceptance of autonomous vehicles on US roads. The automotive industry in the US is a highly developed industry, with the “big three”-Ford Motor Company, General Motors, and Fiat-Chrysler Automotive constantly improving their product portfolios.

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Some of the key players in the market include –  Alphabet Inc., Audi AG, Tesla, Inc., Qualcomm Inc., Didi Chuxing, Ford Motor Company, General Motors Company, Harman International Industries, Inc., Honda Motor Co. Ltd., Hyundai Motor Company, Intel Corporation, International Business Machines Corporation, Microsoft Corporation, Toyota Motor Corporation and Uber Technologies, Inc.

Offering Covered: 
• Software 
• Hardware 

Processes Covered: 
• Data Mining 
• Image Recognition 
• Signal Recognition 

Applications Covered: 
• Autonomous Vehicle 
• Semi-Autonomous Driving 
• Human–Machine Interface 

Technologies Covered: 
• Natural Language Processing 
• Context Awareness 
• Computer Vision 
• Machine Learning 
• Deep Learning

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Regions Covered: 
• North America 
o US 
o Canada 
o Mexico 
• Europe 
o Germany 
o UK 
o Italy 
o France 
o Spain 
o Rest of Europe 
• Asia Pacific 
o Japan 
o China 
o India 
o Australia 
o New Zealand 
o South Korea 
o Rest of Asia Pacific 
• South America 
o Argentina 
o Brazil 
o Chile 
o Rest of South America 
• Middle East & Africa 
o Saudi Arabia 
o UAE 
o Qatar 
o South Africa 
o Rest of Middle East & Africa

What our report offers: 
– Market share assessments for the regional and country level segments 
– Market share analysis of the top industry players 
– Strategic recommendations for the new entrants 
– Market forecasts for a minimum of 7 years of all the mentioned segments, sub segments and the regional markets 
– Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations) 
– Strategic recommendations in key business segments based on the market estimations 
– Competitive landscaping mapping the key common trends 
– Company profiling with detailed strategies, financials, and recent developments 
– Supply chain trends mapping the latest technological advancements

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