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2025年中国管网特殊空间机器人行业进入壁垒、市场政策、产业链图谱、市场规模、竞争格局及发展趋势研判:国产替代进程加速[图]

Core Insights - The urbanization process in China is driving the demand for special space robots for pipeline inspection and maintenance, with the market expected to reach 2.39 billion yuan in 2024, a year-on-year growth of 13.55% [1][11]. Overview - Special space robots are designed for automatic or semi-automatic tasks, categorized into industrial, service, and special robots, with special space robots further divided into pipeline special space robots and other types [2]. Market Demand - The deployment of special space robots in various pipeline scenarios, including drainage, water supply, and gas pipelines, is essential due to their corrosion resistance, pressure tolerance, and advanced navigation capabilities [3][10]. Industry Barriers - The development of pipeline special space robots involves high costs and long cycles, with significant investment needed in customized components and intelligent control systems, creating high technical barriers for new entrants [7]. Market Policies - The Chinese government has implemented several policies to support the development of the robotics industry, including initiatives to promote innovation and modernization in equipment, which creates a favorable environment for the pipeline special space robot sector [8]. Industry Chain - The industry chain includes upstream suppliers of materials and components, midstream manufacturers of robots, and downstream users such as municipal water operators and energy companies, with the drainage pipeline market being the largest application area [8][9]. Competitive Landscape - The global market for pipeline special space robots is dominated by companies from Europe and the US, but Chinese firms like Shenzhen Bomiv Technology Co., Ltd. are gaining market share, with the top five Chinese companies holding 4.6% of the global market in 2024 [12][13]. Future Trends - The integration of AI technology in pipeline special space robots is expected to enhance their ability to identify and predict pipeline issues, improving operational efficiency and reliability through advanced navigation and data analysis capabilities [14].