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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM37444
Volume:
8 |
9 |
Sep 2024
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
The electric vehicle (EV) market in India is undergoing a transformative phase, driven by growing environmental concerns, government incentives, and the rapid integration of advanced technologies such as Artificial Intelligence (AI) and Predictive Analytics. These technologies are proving essential in optimizing various aspects of EV development, including battery management, predictive maintenance, and customer experience personalization. This research article investigates the influence of AI and Predictive Analytics on the Indian EV market, highlighting their roles in improving operational efficiency, reducing costs, and enhancing safety and user satisfaction. Statistical data and case studies of leading Indian EV companies, such as Tata Motors, Ola Electric, and Ather Energy, illustrate the impact of these technologies on market growth and performance. Despite facing challenges like high initial costs and regulatory barriers, AI and Predictive Analytics are poised to play a pivotal role in the future expansion of the EV market in India. The findings suggest that with increased adoption and ongoing technological advancements, AI and Predictive Analytics will significantly contribute to the growth and sustainability of the EV sector in India.
KEYWORDS
Publication Date
9/16/2024
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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