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研判2025!中国矿山无人驾驶行业市场现状、企业格局及未来趋势分析:行业迈入“大规模应用”新阶段,市场规模爆发式增长,行业集中度较高[图]
Chan Ye Xin Xi Wang·2025-07-21 01:14

Core Insights - The article discusses the rapid development and commercialization of autonomous driving technology in mining, particularly in China, highlighting its significance in smart mining construction [1][2][8] Group 1: Market Overview - The market for mining autonomous driving solutions in China is experiencing explosive growth, with the market size projected to increase from 100 million yuan in 2021 to 2 billion yuan by 2024, representing a year-on-year growth of 233% [1][14] - The commercial models for mining autonomous driving solutions include TaaS (Truck as a Service) and ATaaS (Autonomous Truck as a Service), with market shares expected to be 44.9% and 55.1% respectively by 2024 [16][18] Group 2: Technology and Applications - Mining autonomous driving technology integrates IT, automotive, and mining technologies, achieving a high level of automation, primarily at L4 level, making it suitable for the relatively simple and low-speed environments of mines [2][4] - The number of autonomous mining trucks in China's open-pit coal mines has increased significantly from 9 units in 2019 to 1,510 units by September 2024, with a projected total of 2,500 units by the end of 2024 [20] Group 3: Competitive Landscape - The market participants in China's autonomous mining truck sector are categorized into solution providers, manufacturers, and IT companies, with solution providers holding nearly 80% of the market share [26][28] - The top three companies in the autonomous mining truck market hold a combined market share of 72.4%, with 易控智驾 (Yikong Zhijia) leading at 49.2% [28] Group 4: Future Trends - The market for mining autonomous driving solutions is expected to continue growing, with projections indicating it could exceed 30 billion yuan by 2030, becoming a significant growth point for smart mining [30] - Future developments may include the introduction of driverless mining trucks without cabins, optimizing space and enhancing operational efficiency [30]