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2025年中国餐饮配送机器人行业产业链、市场规模、行业政策、代表企业分析及行业趋势研判:行业将保持快速的发展势头,市场空间巨大[图]
Chan Ye Xin Xi Wang·2025-06-22 02:00

Core Viewpoint - The restaurant delivery robot market in China has experienced rapid growth, with the market size increasing from 276 million yuan in 2020 to 500 million yuan in 2023, reflecting a compound annual growth rate (CAGR) of 21.9% [1][6]. Industry Definition and Classification - Restaurant delivery robots are commercial service robots based on artificial intelligence (AI), autonomous driving (AGV/AMR), and Internet of Things (IoT) technologies, used for tasks such as food delivery, tray return, and reception in restaurants, hotels, and cafeterias [2][6]. - They can be categorized into desktop, upright transport, and fixed-rail types based on their functional forms [2]. Current Development Status - The domestic restaurant delivery robot market is projected to reach approximately 603 million yuan in 2024 and is expected to grow to 726 million yuan by 2025 [6]. - The intelligent service robot market in China is anticipated to grow from 6.48 billion yuan in 2016 to 66.29 billion yuan in 2024, with a forecast of 77.91 billion yuan by 2025 [4]. Industry Chain - The upstream of the restaurant delivery robot industry includes components such as reducers, servo motors, controllers, and sensors, as well as software systems like operating systems, voice interaction, and image recognition [8]. Competitive Landscape - Major companies in the restaurant delivery robot market include QianShanJia Robot, Pudutech, QingLang Intelligent, and others, with QingLang Intelligent and Pudutech leading the first tier of competition [12][14]. - QianShanJia Robot focuses on commercial service robot development, while Pudutech is recognized for its comprehensive product lines across various sectors [13][14]. Development Trends - The application of restaurant delivery robots is expanding in restaurants and hotels, enhancing service efficiency and reducing labor costs [17]. - The industry is evolving from "functional" to "intelligent" robots, with a focus on expanding application scenarios beyond dining to a broader service ecosystem [17].