DJI L1激光雷达负载

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2025年中国测绘无人机市场政策汇总、产业链图谱、发展现状、竞争格局及发展趋势:头部企业占据主导地位[图]
Chan Ye Xin Xi Wang· 2025-08-18 01:36
Core Viewpoint - The demand for surveying drones in China is projected to reach 103,000 units by 2024, with a market size of 7.039 billion yuan, driven by diverse applications across various sectors such as agriculture, forestry, transportation, and disaster response [1][9]. Overview - Surveying drones utilize unmanned aerial vehicle technology equipped with various sensors to collect high-precision geographic data, supporting fields like terrain mapping, urban planning, land management, and disaster assessment [2][9]. Market Policy - The Chinese government has implemented several policies to support the development of the surveying drone industry, creating a favorable environment for growth [4][6]. Industry Chain - The upstream of the surveying drone industry includes suppliers of materials (steel, aluminum, carbon fiber), sensors (cameras, LiDAR), and components (chips, batteries). The downstream applications cover geographic surveying, engineering monitoring, disaster response, and agricultural monitoring [7][9]. Current Development - The surveying drone market is expanding beyond traditional applications, with significant growth in agriculture (crop monitoring), forestry (resource surveys), transportation (road planning), and emergency response [1][9]. Competitive Landscape - Major players in the Chinese surveying drone market include DJI, Huace Navigation, Zongheng Co., and Dadi Surveying. DJI leads the global drone market, while Huace Navigation specializes in high-precision positioning technology [10][13]. Industry Representative Analysis - DJI has established itself as a leader in the surveying drone sector, leveraging strong R&D capabilities and a comprehensive product ecosystem [13]. Huace Navigation focuses on high-precision navigation and has a diverse application portfolio across various industries [15]. Development Trends - The future of surveying drones will see advancements in artificial intelligence, enabling smarter data collection and processing, autonomous path optimization, and real-time geographic information updates [17].