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The integration of advanced technologies, such as Artificial Intelligence (AI), Machine Learning (ML), and big data analytics, for enhanced functionality is driving the autonomous train industry growth. These technologies are used to optimize train operations, improve energy efficiency, and enable predictive maintenance. Additionally, the development of communication systems & sensors facilitates real-time monitoring, enabling seamless connectivity and communication between trains & infrastructure. These technological advancements are influencing the need for autonomous train systems, thereby boosting industry outlook.
Some of the key autonomous train firms include ABB Ltd., Alstom SA, American Equipment Company, Beijing Traffic Control Technology, Bombardier Transportation, and Construcciones y Auxiliar de Ferrocarriles (CAF).
North America autonomous train industry crossed a valuation of USD 2.4 billion in 2022 and is expected to exhibit the highest growth between 2023 and 2032 attributed to the advancement of autonomous train technology coupled with the rising concentration on modern technologies and automation.
Autonomous train industry size from the metro/monorail train type segment generated more than USD 3.2 billion in 2022 and is poised to depict steady growth rate till 2032 owing to widespread usage in urban areas for public transportation foroffering efficient & reliable services.
The market size of autonomous train surpassed USD 8 billion in 2022 and is anticipated to grow at 6% CAGR during 2023 to 2032 driven by the growing inclination towards sustainable transportation alternatives.