Paper Contents
Abstract
The global electric vehicle (EV) market has witnessed exponential growth due to increasing environmental concerns, supportive government policies, and advancements in battery technology. This research paper aims to explore and analyze global electric vehicle trends using machine learning techniques. By utilizing large-scale datasets from international EV manufacturers, government transportation agencies, and open-source platforms, machine learning algorithms are employed to uncover insights related to EV adoption, usage patterns, sales forecasts, and key influencing factors. This study highlights the effectiveness of predictive models in understanding market behavior and supporting strategic decisions for stakeholders in the EV ecosystem
Copyright
Copyright © 2025 Jyoti Kumari. This is an open access article distributed under the Creative Commons Attribution License.
