The global Vehicle-To-Grid Technology market size is expected to be worth around US$ 20.06 billion by 2030 and is anticipated to grow at a noteworthy CAGR of 50% during forecast period 2021 to 2030.
Vehicle-To-Grid (V2G) Technology Market (By Component: Electric Vehicle Supply Equipment (EVSE), Smart Meters, Home Energy Management (HEM), Software; By Application: Battery Electric Vehicles (BEVs), Plug-In Hybrid Electric Vehicles (PHEVs), Fuel Cell Vehicles (FCVs)) – Global Industry Analysis, Size, Share, Growth, Trends, Revenue, Regional Outlook 2021 – 2030
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Combining BEVs (Battery Electric Vehicles) with vehicle-to-grid technology is creating revenue opportunities for various stakeholders in the market. This technology helps consumers to be a part of smart grid solution systems, which empowers them with price arbitrage and enables them to control energy reserves. Thus, vehicle owners can provide ancillary services to large distribution network operators and earn revenue by providing operators with energy reserves.
Report Coverage
Report Scope | Details |
Market Size | USD 20.06 Billion by 2030 |
Growth Rate | CAGR of 50% From 2021 to 2030 |
Base Year | 2021 |
Forecast Period | 2021 to 2030 |
Segments Covered | Component, Application |
Regional Scope | North America, Europe, Asia Pacific, Latin America, Middle East & Africa |
Companies Mentioned | Nissan Motor Corporation, Mitsubishi Motors Corporation, NUVVE Corporation, ENGIE Group, OVO Energy Ltd, Groupe Renault, Honda Motor Co., Ltd. |
Growth Factors
There are several factors that are influencing the growth of the global vehicle to grid technology market. One of the most influential factor is the integration of battery electric vehicles (BEVs) with the vehicle to grid technology. This is creating a wide range of business opportunities for the growth of the market.
Combining BEVs (Battery Electric Vehicles) with vehicle-to-grid technology is creating revenue opportunities for various stakeholders in the market. This technology helps consumers to be a part of smart grid solution systems, which empowers them with price arbitrage and enables them to control energy reserves. Thus, vehicle owners can provide ancillary services to large distribution network operators and earn revenue by providing operators with energy reserves.
Report Highlights
Market scenario analysis, trends, drivers, and impact analysis – Increase in demand for electric vehicles and the government’s encouragement to shift toward e-vehicle are expected to surge the demand for vehicle-to-grid technology over the forecast period. Moreover, the high cost associated with electric vehicle charging equipment is a major factor that hampers the market growth.
Increase in demand for electric vehicles – Awareness about the damage caused to the environment with the increasing usage of combustion engines has effectively increased the demand for electric vehicles. Hence, the electric vehicle market is considered to be the future of the automobile as many customers are shifting to electric vehicles, owing to their economical and eco-friendly nature. This is expected to further drive the electric vehicle equipment market over the forecast period.
Market players should tap into high incremental opportunities in Europe and Asia Pacific. Increased research and development is helping technology providers integrate V2G with vehicle-to-everything (V2X) technology.
There is a direct impact of vehicle-to-grid technology on car batteries, since the implementation of the technology reduces their life cycle.
Countries such as France have strict regulatory norms to control how electricity can be injected into a grid from individual producers. Also, multiple administrative steps require approval from government authorities. Such complicated procedures are highly unwelcome for BEV and PHEV owners.
Key Players
Nissan Motor Corporation
Mitsubishi Motors Corporation
NUVVE Corporation
ENGIE Group
OVO Energy Ltd
Groupe Renault
Honda Motor Co., Ltd.
Market Segmentation
By Component
By Application
By Region
The study objectives of this report are:
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