AI in Automotive Market Emerging Trends and Growth Factors Analysis over 2020 - 2026 - PowerPoint PPT Presentation

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AI in Automotive Market Emerging Trends and Growth Factors Analysis over 2020 - 2026

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More Information @ Artificial Intelligence (AI) in Automotive Market Size, By Component (Software, Hardware, Service), By Technology (Computer Vision, Context Awareness, Deep Learning, Machine Learning, Natural language Processing (NLP)), By Process (Data Mining, Image/Signal Recognition), By Application (Semi-Autonomous Vehicles, Fully Autonomous Vehicles) Industry Analysis Report, Regional Outlook, Growth Potential, Competitive Market Share & Forecast, 2020 – 2026 – PowerPoint PPT presentation

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Title: AI in Automotive Market Emerging Trends and Growth Factors Analysis over 2020 - 2026


1
By 2026, AI in Automotive Market to Register 38
CAGR Via semi-autonomous vehicles segment
2
Industry Overview
  • Artificial Intelligence (AI) in Automotive Market
    from the semi-autonomous vehicles segment is
    projected to witness remarkable growth, with more
    than 38 CAGR by the year 2026
  • The automobile market is seeing a constant rise
    in demand for AI-powered driving systems. In
    fact, several car manufacturers are now working
    on updating their driver assistance technologies
    to offer customers with more comfortable and safe
    driving experience.
  • Recently, Intel launched a new AI-enabled chip,
    Pohoiki Beach, which could rapidly scale up to
    10,000 times faster computing speed using 8
    million neural networks. With increasing use of
    sensors like LiDAR and ultrasonic sensors as well
    as high-resolution cameras for developing
    next-gen vehicles, the AI hardware industry may
    strive significant proceeds in the coming years.

3
Continue
  • Based on process, the image/signal recognition
    segment is expected to witness sizable growth
    over the forthcoming years. In 2019, the segment
    had garnered over 65 share in AI in automotive
    market. Surging concerns regarding on-road
    accidents and over-speeding have infused the need
    for traffic signs speed limit indicators. These
    systems use image/signal recognition technologies
    to detect traffic signals and minimizes the
    vehicles speed automatically. Favorable federal
    initiatives to promote traffic sign recognition
    for speed checks could propel the product demand
    in the long run.
  • Recently, the European Commission enforced
    automakers to provide a built-in image/signal
    recognition feature in their vehicles by 2022.
    This would help minimize the cases of rash
    driving and endorse the idea of on-road safety.

4
Industry Player Overview
  • Speculating growing demand for advanced
    automotive systems, industry players have started
    to invest heavily in RD activities. A few of the
    prominent players in the AI in automotive
    industry include Audi AG, Alphabet Inc., Daimler
    AG, BMW AG, Ford Motor Company, Didi Chuxing,
    Harman International Industries Inc., General
    Motors Company, IBM Corporation, Honda Motor Co.,
    Ltd., Microsoft Corporation, Intel Corporation,
    Qualcomm Inc., NVIDIA Corporation, Toyota Motor
    Corporation, Tesla, Inc., Volvo Car Corporation,
    Xilinx Inc. and Uber Technologies.

5

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for a Sample of this Research report _at_
https//bit.ly/2ucrmfb
6
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