Artificial Intelligence (AI) in Electric Vehicle (EV) Charging Global Market Report 2025

The artificial intelligence (AI) in the electric vehicle (EV) charging market size has grown exponentially in recent years. It will grow from $1.5 billion in 2024 to $1.9 billion in 2025 at a compound annual growth rate (CAGR) of 26.3%. Growth in the historic period can be attributed to the expanding deployment of smart charging infrastructure, increasing emphasis on reducing charging time and energy costs, rising adoption of cloud-based EV charging management systems, growing awareness of sustainable transportation, and the increased integration of IoT and AI technologies within EV ecosystems.

The artificial intelligence (AI) in the electric vehicle (EV) charging market size is expected to see exponential growth in the next few years. It will grow to $4.78 billion in 2029 at a compound annual growth rate (CAGR) of 25.9%. Growth in the forecast period can be linked to the global rise in electric vehicle adoption, the growing need for efficient energy management in charging infrastructure, greater integration of renewable energy sources, increasing government support for smart mobility solutions, and rising demand for real-time charging data analytics. Major trends expected during the forecast period include advancements in autonomous and wireless charging technologies, the development of AI-driven predictive maintenance systems, innovation in vehicle-to-grid (V2G) integration solutions, progress in personalized smart charging algorithms, and the emergence of AI-enabled cybersecurity solutions for EV charging networks.

Rising consumer interest in sustainable and low-emission transportation is expected to drive growth in the artificial intelligence (AI) in electric vehicle (EV) charging market in the coming years. Sustainable and low-emission transportation focuses on reducing greenhouse gas emissions and reliance on fossil fuels through vehicle electrification, integration of renewable energy, and efficiency improvements. This growing demand is fueled by environmental awareness and cost-saving considerations, encouraging broader adoption of electric vehicles and supporting charging infrastructure. AI in EV charging facilitates this transition by enabling smart, efficient, and environmentally friendly charging solutions. For example, in January 2023, the U.S. National Blueprint for Transportation Decarbonization reported that decarbonizing the transportation sector by 2050 is achievable through widespread EV adoption, clean fuels, and intelligent charging infrastructure. Consequently, increasing consumer demand for sustainable transport is expected to propel the AI in EV charging market.

Leading companies in this market are focusing on advanced solutions such as AI-powered fast chargers that enhance the EV charging experience through interactivity and personalization. AI-enabled fast chargers optimize charging speed, manage energy distribution, and improve reliability. For instance, in October 2025, Electric Era, a U.S.-based EV charging company, introduced its RetailEdge EV charging platform featuring AI-powered fast chargers. These chargers integrate the HaloAI voice-activated concierge, providing personalized promotions, answering questions, and even offering entertainment, while combining ultra-fast 400 kW charging with retail features such as loyalty programs, membership validation, and direct commerce via touchscreen. Battery-backed technology improves reliability, reduces operating costs by up to 70%, and allows rapid deployment without major grid upgrades. This innovation extends retail experiences into parking lots, increasing customer satisfaction, creating new revenue streams for retailers, and supporting the transition to EVs with an efficient, enjoyable charging process.

In November 2023, OVO Energy Ltd., a UK-based energy company, acquired Bonnet App Ltd. for an undisclosed amount. The acquisition enables OVO Energy to expand its public EV charging network and integrate Bonnet’s app with its smart home charging products, promoting wider EV adoption and supporting sustainable mobility. Bonnet App Ltd., based in the U.K., developed a widely used EV charging application.

Major players in the artificial intelligence (AI) in electric vehicle (EV) charging market are Amazon.com Inc., TotalEnergies SE, Microsoft Corporation, ENGIE SA, BYD Co. Ltd., Siemens AG, Iberdrola S.A., Panasonic Holdings Corporation, Intel Corporation, Schneider Electric SE, Honeywell International Inc., Qualcomm Incorporated, ABB Ltd, Delta Electronics Inc., Vattenfall AB, OVO Energy Ltd., Hitachi Energy Ltd., ChargePoint Holdings Inc., GRIDSERVE Sustainable Energy Limited, and Driivz Ltd.

North America was the largest region in the artificial intelligence (AI) in electric vehicle (EV) charging market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in this report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa. The countries covered in the artificial intelligence (AI) in the electric vehicle (EV) charging market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report’s Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The rapid rise in U.S. tariffs and the subsequent trade frictions in spring 2025 are having a major impact on the electrical and electronics sector, with semiconductors, display panels, and rare-earth metals (essential for batteries and motors) subject to steep duties. Consumer electronics brands face profit erosion, as competitive markets limit their ability to pass costs to buyers. Industrial electronics manufacturers, meanwhile, grapple with delayed projects due to shortages of tariff-impacted components like printed circuit boards. Companies are responding by relocating assembly to tariff-exempt countries, increasing inventory buffers, and redesigning products to reduce dependency on restricted materials.

The artificial intelligence (AI) in electric vehicle (EV) charging market research report is one of a series of new reports that provides artificial intelligence (AI) in electric vehicle (EV) charging market statistics, including the artificial intelligence (AI) in electric vehicle (EV) charging industry global market size, regional shares, competitors with the artificial intelligence (AI) in electric vehicle (EV) charging market share, detailed artificial intelligence (AI) in electric vehicle (EV) charging market segments, market trends, and opportunities, and any further data you may need to thrive in the artificial intelligence (AI) in electric vehicle (EV) charging industry. This artificial intelligence (AI) in electric vehicle (EV) charging market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.

Artificial Intelligence (AI) in electric vehicle (EV) charging refers to the use of advanced algorithms and machine learning to optimize charging operations, energy distribution, and grid interaction. AI supports smart load management by predicting charging demand, efficiently scheduling sessions, and reducing energy costs. It also improves user experience through adaptive charging recommendations and predictive maintenance, helping enhance the efficiency, reliability, and sustainability of EV charging networks.

The main components of AI in EV charging include software, hardware, and services. AI-enabled EV charging software supports smart scheduling, real-time monitoring, predictive maintenance, and user interface management. The various charging types include alternating current (AC) charging, direct current (DC) fast charging, and wireless charging. These systems are deployed through on-premises and cloud-based models and are used for residential, commercial, public, and fleet charging applications. End users include private electric vehicle owners, commercial fleets, charging network operators, utilities, and other users.

The artificial intelligence (AI) in the electric vehicle (EV) charging market consists of revenues earned by entities by providing services such as predictive maintenance services, energy load forecasting, cloud analytics and monitoring, and charging network optimization. The market value includes the value of related goods sold by the service provider or contained within the service offering. The artificial intelligence (AI) in the electric vehicle (EV) charging market also includes sales of AI-powered energy management systems, smart charging algorithms and controllers, vehicle-to-grid (V2G) integration devices, and predictive maintenance monitoring tools. Values in this market are ‘factory gate’ values; that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

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