Global Automotive AI-Enabled ASIC Market 2023-2030

    In Stock

    Coming Soon




     This unique ASIC is a fully electronic odometer for use in automobile and electric vehicle applications. It has two decade counters for “Season” and “Trip” mileage, as well as a programmable prescaler. Data is kept even if power is lost since it is kept in nonvolatile memory (EEPROM). 


    There is also a driver for a seven-digit LCD display. Self-driving cars are being improved by artificial intelligence (AI), and they are just beginning to tap into the full potential of AI in the automotive industry. The full delegation of all safety-related decisions to the vehicle itself will be the main emphasis of future development of autonomous vehicles.




    infographic: Automotive AI-Enabled ASIC Market , Automotive AI-Enabled ASIC Market Size, Automotive AI-Enabled ASIC Market Trends, Automotive AI-Enabled ASIC Market Forecast, Automotive AI-Enabled ASIC Market Risks, Automotive AI-Enabled ASIC Market Report, Automotive AI-Enabled ASIC Market Share


    The Global Automotive AI-enabled ASIC market accounted for $XX Billion in 2022 and is anticipated to reach $XX Billion by 2030, registering a CAGR of XX% from 2023 to 2030.



    The OAX8000 is an automotive-specific AI-enabled integrated circuit (ASIC), launched by  OmniVision. The new ASIC is designed to work with standalone driver monitoring systems (DMS) that are at a lower price point. The DMS processor receives on-chip DDR3 SDRAM memory (1GB) through the use of a stacked-die architecture. Also integrated into the DMS are an image signal processor (ISP) and a neural processing unit (NPU). 


    For eye gazing and eye tracking algorithms, this enables processing rates of up to 1.1 trillion operations per second. Under normal circumstances, the OAX8000 and vehicle image sensors only use 1 watt. The well-liked TensorFlow, Caffe, MXNet, and ONNX tool chains are compatible with the OAX8000’s on-chip NPU, according to a press statement from the manufacturer.


     This ASIC also incorporates hardware for image processing, video encoding, and RGB/IR processing, as well as four Arm Cortex A5 CPU cores with Neon technology for accelerated video encoding/decoding and on-chip video analytics algorithms. The RBG/IR image sensors can provide input to the ASIC thanks to its HDR processing capabilities. The included video encoders can output videos with up to 2K resolution and 30 frames per second that have a maximum resolution of 5 megapixels.





    1. How many Automotive AI-enabled ASIC are manufactured per annum globally? Who are the sub-component suppliers in different regions?
    2. Cost breakup of a Global Automotive AI-enabled ASIC and key vendor selection criteria
    3. Where is the Automotive AI-enabled ASIC manufactured? What is the average margin per unit?
    4. Market share of Global Automotive AI-enabled ASIC market manufacturers and their upcoming products
    5. Cost advantage for OEMs who manufacture Global Automotive AI-enabled ASIC in-house
    6. key predictions for next 5 years in Global Automotive AI-enabled ASIC market
    7. Average B-2-B Automotive AI-enabled ASIC market price in all segments
    8. Latest trends in Automotive AI-enabled ASIC market, by every market segment
    9. The market size (both volume and value) of the Automotive AI-enabled ASIC market in 2023-2030 and every year in between?
    10. Production breakup of Automotive AI-enabled ASIC market, by suppliers and their OEM relationship


    Sl no Topic
    1 Market Segmentation
    2 Scope of the report
    3 Abbreviations
    4 Research Methodology
    5 Executive Summary
    6 Introduction
    7 Insights from Industry stakeholders
    8 Cost breakdown of Product by sub-components and average profit margin
    9 Disruptive innovation in the Industry
    10 Technology trends in the Industry
    11 Consumer trends in the industry
    12 Recent Production Milestones
    13 Component Manufacturing in US, EU and China
    14 COVID-19 impact on overall market
    15 COVID-19 impact on Production of components
    16 COVID-19 impact on Point of sale
    17 Market Segmentation, Dynamics and Forecast by Geography, 2023-2030
    18 Market Segmentation, Dynamics and Forecast by Product Type, 2023-2030
    19 Market Segmentation, Dynamics and Forecast by Application, 2023-2030
    20 Market Segmentation, Dynamics and Forecast by End use, 2023-2030
    21 Product installation rate by OEM, 2023
    22 Incline/Decline in Average B-2-B selling price in past 5 years
    23 Competition from substitute products
    24 Gross margin and average profitability of suppliers
    25 New product development in past 12 months
    26 M&A in past 12 months
    27 Growth strategy of leading players
    28 Market share of vendors, 2023
    29 Company Profiles
    30 Unmet needs and opportunity for new suppliers
    31 Conclusion
    32 Appendix
      Your Cart
      Your cart is emptyReturn to Shop