Global EV Charging Station Smart Grid Integration System Market 2024-2030

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    EV CHARGING STATION SMART GRID INTEGRATION SYSTEM MARKET

     

    INTRODUCTION TO EV CHARGING STATION SMART GRID INTEGRATION SYSTEM MARKET

     The Advanced Metering Infrastructure (AMI) system can be smoothly integrated with an EVSE metre due to the Smart Grid. As a result, a utility is able to segregate EV charging from the main metre and charge customers for it separately.

     

     The use of AMI integration can also make it simple for utilities to monitor and report EV charging usage for greenhouse gas credits and to use data to foresee local reliability issues.  

     

    Additionally, a smart grid enables utilities to gather information for greenhouse gas abatement credits, offer particular rates for EV charging, engage customers with information on energy transfer, and collect EV-specific metre data.

     

    EV CHARGING STATION SMART GRID INTEGRATION SYSTEM MARKET SIZE AND FORECAST

     

    infographic : EV Charging Station Smart Grid Integration System Market , EV Charging Station Smart Grid Integration System Market Size, EV Charging Station Smart Grid Integration System Market Trend, EV Charging Station Smart Grid Integration System Market Forecast, EV Charging Station Smart Grid Integration System Market Risks, EV Charging Station Smart Grid Integration System Market Report, EV Charging Station Smart Grid Integration System Market Share

     

    The Global EV charging station smart grid integration system market accounted for $XX Billion in 2023 and is anticipated to reach $XX Billion by 2030, registering a CAGR of XX% from 2024 to 2030.

     

    EV CHARGING STATION SMART GRID INTEGRATION SYSTEM MARKET NEW PRODUCT LAUNCH

    Qualcomm Introduced the Next Generation Powerline Communication Device to Support the Growing Industry Need for Vehicle to Charging Station Smart-Grid Communications.

     

    The PLC device is based on the widely used QCA700X family of devices from Qualcomm Technologies, which have a solid track record in the industry and are widely used in EV on-board charging units and charging stations all over the world. 

     

    The industry standard for implementing Vehicle-to-Grid (V2G) systems, the HomePlug Green PHY (HPGP) protocol, is compatible with the QCA7006AQ. Coordinating the scheduling and flow of energy to and from the grid and the home, smart-grid integration enables vehicles to authenticate on the network without any hassle using Plug and Charge automated payments for EV charging.

     

    The increased demand for EV charging may be met while reducing the need for peak load power generation and distribution through the deployment of smart-grid charging applications that are supported by the CCS standard. 

     

    These applications provide users the freedom to select the best charging periods and extract energy from their EVs as needed. This is the first QCA700X PLC from Qualcomm Technologies that has been built to handle an Ethernet digital interface and is certified to withstand ambient operating temperatures between -40°C and +105°C (AEC-Q100 Automotive Grade 2).

     

    The QCA7006AQ has the ability to offer HomePlug Audio Video (HPAV) streaming with a PHY rate greater than 200 Mbps, giving EV users a wired data connection to the cloud through the charging station.

     

    EV CHARGING STATION SMART GRID INTEGRATION SYSTEM MARKET COMPANY PROFILE

     

    THIS REPORT WILL ANSWER FOLLOWING QUESTIONS

    1. How many EV charging station smart grid integration systems are manufactured per annum globally? Who are the sub-component suppliers in different regions?
    2. Cost breakup of a Global EV charging station smart grid integration system and key vendor selection criteria
    3. Where is the EV charging station smart grid integration system manufactured? What is the average margin per unit?
    4. Market share of Global EV charging station smart grid integration system market manufacturers and their upcoming products
    5. Cost advantage for OEMs who manufacture Global EV charging station smart grid integration system in-house
    6. key predictions for next 5 years in Global EV charging station smart grid integration system market
    7. Average B-2-B EV charging station smart grid integration system market price in all segments
    8. Latest trends in EV charging station smart grid integration system market, by every market segment
    9. The market size (both volume and value) of the EV charging station smart grid integration system market in 2024-2030 and every year in between?
    10. Production breakup of EV charging station smart grid integration system 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, 2024-2030
    18 Market Segmentation, Dynamics and Forecast by Product Type, 2024-2030
    19 Market Segmentation, Dynamics and Forecast by Application, 2024-2030
    20 Market Segmentation, Dynamics and Forecast by End use, 2024-2030
    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
     
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