Global Automated Driving SOC Market 2022-2030

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    It’s possible that Automated Driving Systems will  be able to drive a car autonomously. To move between locations without a human operator, it makes use of sensors, cameras, radar, and artificial intelligence (AI). Complex technologies are being developed by digital juggernauts and automakers to enable autonomous vehicle operation. 


    Global Automated Driving SOC Market 2022-2030 2

    Thus, automakers integrate sophisticated and cutting-edge processors (system-on-chips) with self-driving automobiles in order to achieve self-driving capabilities.




    The Global automated driving SOC market accounted for $XX Billion in 2021 and is anticipated to reach $XX Billion by 2030, registering a CAGR of XX% from 2022 to 2030.



    For advanced driver assistance systems (ADAS) and automated driving (AD) systems, Renesas Electronics Corporation has revealed the R-Car V3U, a best-in-class ASIL D system on chip (SoC). The Deep Neural Network and AI machine learning functions are provided by the R-Car V3U. Any reducing neural networks for automotive obstacle detection and classification tasks can be handled by its adaptable design.


    The EyeQ Ultra, a 5nm integrated circuit from Mobileye, was unveiled. With 176 TOPS, EyeQ Ultra will represent the seventh generation of the EyeQ architecture. EyeQ Ultra combines the functionality of ten EyeQ5 devices into a single unit. 


    In order to hasten the development of its Level 4 automated driving function, Volkswagen Group has selected system-on-chips (SoC) from Qualcomm’s Snapdragon Ride Platform. A self-driving car is considered to be at level 4 autonomy if no human intervention is needed.


    The CV3 AI domain controller family was introduced by the AI vision, si business Ambarella, Inc. With up to 500 eTOPS, which is a 42x improvement over Ambarella’s previous automotive family, this completely scalable, power-efficient CVflow family of SoCs offers the best AI processing performance available for the automotive market.


    The CV3 offers up to a 30x increase in CPU performance over the previous generation in support of autonomous vehicle (AV) software applications thanks to its up to 16 Arm Cortex-A78AE CPU cores.


    This family provides deep fusion for various sensor modalities and AV path planning, as well as centralized, single-chip processing for multi-sensor perception, including high-resolution vision, radar, ultrasonic, and lidar.


    As a result, L2+ through Level 4 autonomous driving (AD) systems are more capable of perceiving the environment under difficult lighting, weather, and driving circumstances for both the driver and the machine.



    BMW has been working on various autonomous driving technologies with Qualcomm and Arriver, but the three parties have now announced that they are forging a long-term cooperation to bring Level 3 technology to BMW models and possibly more in the future.


    Qualcomm’s Snapdragon Ride Vision system-on-a-chip (SoC) and Arriver’s Computer Vision technology will be some of the technologies employed. These will offer greater AV options than BMW’s present system, which was first debuted on the iX last year and will be added to the new 7-series next month.





    1. What is the average cost per Global automated driving SOC market right now and how will it change in the next 5-6 years?
    2. Average cost to set up a Global automated driving SOC market in the US, Europe and China?
    3. How many Global automated driving SOC markets are manufactured per annum globally? Who are the sub-component suppliers in different regions?
    4. What is happening in the overall public, globally?
    5. Cost breakup of a Global automated driving SOC market and key vendor selection criteria
    6. Where is the Global automated driving SOC market  manufactured? What is the average margin per equipment?
    7. Market share of Global automated driving SOC market manufacturers and their upcoming products
    8. The most important planned Global automated driving SOC market in next 2 years
    9. Details on network of major Global automated driving SOC market and pricing plans
    10. Cost advantage for OEMs who manufacture Global automated driving SOC market in-house
    11. 5 key predictions for next 5 years in Global automated driving SOC market
    12. Average B-2-B Global automated driving SOC market price in all segments
    13. Latest trends in Global automated driving SOC market, by every market segment
    14. The market size (both volume and value) of the Global automated driving SOC market in 2022-2030 and every year in between?
    15. Global production breakup of Global automated driving SOC 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, 2022-2030
    18 Market Segmentation, Dynamics and Forecast by Product Type, 2022-2030
    19 Market Segmentation, Dynamics and Forecast by Application, 2022-2030
    20 Market Segmentation, Dynamics and Forecast by End use, 2022-2030
    21 Product installation rate by OEM, 2022
    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, 2022
    29 Company Profiles
    30 Unmet needs and opportunity for new suppliers
    31 Conclusion
    32 Appendix


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