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市场调查报告书
商品编码
1833460
2032 年机器人挤乳机市场预测:按系统类型、产品、牛规模、致动器、技术、最终用户和地区进行的全球分析Robotic Milking Machines Market Forecasts to 2032 - Global Analysis By System Type, Offering, Herd Size, Actuator, Technology, End User and By Geography |
根据 Stratistics MRC 的数据,全球机器人挤乳机市场预计到 2025 年将达到 21.7 亿美元,到 2032 年将达到 47.2 亿美元,预测期内的复合年增长率为 11.7%。
机器人挤奶机是一种自动化系统,旨在最大限度地减少人工干预,从酪农身上挤奶。这些机器使用感测器、机械手臂和软体来识别、清洁挤奶装置并将其连接到乳头上,确保高效卫生的挤奶。这些机器即时监测牛奶流量、动物健康状况和生产力,从而增强农场管理。透过减少劳动力并提高一致性,机器人挤乳系统支援可扩展、数据主导的酪农运营,同时提升动物福利和操作准确性。
根据《农业电脑与电子技术》报告,机器人挤乳系统可减少高达 30% 的劳动力需求,提高挤乳频率 10-15%,并将每头牛的产乳量提高 5-10%。
改善牛管理和数据分析
机器人挤乳系统的采用正受到牛监控技术和即时数据分析技术进步的推动。这些系统使酪农能够精准追踪每头牛的健康状况、产乳量和饲餵模式,从而优化生产力并及早发现健康问题。与云端基础平台和物联网感测器的整合可实现集中控制和预测性维护,从而减少停机时间和营运效率低下。随着酪农规模的扩大,对智慧自动化工具的需求也日益增长,以保持一致性和盈利。
牛适应和训练期
与传统的挤乳装置不同,机器人挤乳装置需要根据牛的品种和个体进行行为训练。由于人工干预,这个过渡期可能会暂时降低产奶量并增加人事费用。此外,初始训练期间的压力和不适会影响牛的福利和牛奶品质。酪农必须投资培训通讯协定和环境改善,以简化适应过程,这对于中小型乳牛场来说可能是资源密集的。
与精准畜牧养殖(PLF)的整合
PLF 框架旨在透过基于感测器的监测和自动化决策来改善动物福利、环境永续性和农场经济效益。机器人挤乳系统可以与 PLF 工具(例如穿戴式健康追踪器、自动餵食器和气候控制系统)无缝集成,从而建立一个整体的智慧农场生态系统。这种整合能够即时优化挤奶计划、饲料效率和疾病预防。随着政府和行业组织推动数位农业,对可互通机器人解决方案的需求预计将飙升。
牛奶价格波动
在牛奶盈利低迷的时期,这些系统相关的高额资本投资和维护成本可能显得不合理。全球贸易动态、饲料成本上涨以及消费者偏好导致的市场波动,可能会阻碍长期规划和技术升级。尤其是小型酪农,由于投资回报的不确定性,可能会推迟自动化。这种经济不确定性凸显了灵活的资金筹措模式和政府补贴以支持技术应用的必要性。
新冠疫情对机器人挤乳机市场产生了双重影响。一方面,供应链中断导致设备交付、安装和维修服务延迟,影响了酪农的运作。另一方面,这场危机加速了非接触式、高效能劳动力解决方案的转变,增加了人们对机器人挤乳系统的兴趣。在劳动力短缺和日益严重的生物安全问题背景下,酪农开始优先考虑自动化,以确保连续性并减少人员伤亡。远端监控功能和预测性维护工具的普及,使得酪农能够以最少的物理干预进行运作。
预测期内,多檔位单元市场预计将达到最大规模
多卧位挤奶机预计将在预测期内占据最大的市场份额,因为它们的设计旨在高效处理大量挤奶工作,使其成为大型酪农的理想系统。其模组化架构允许同时挤奶多头牛,从而缩短了挤奶週期并提高了产量。自动清洁、牛识别和同步调度等先进功能有助于提高营运效率,使多卧挤乳机成为工业应用的理想选择。
电动致动器市场预计将在预测期内实现最高复合年增长率
电动致动器领域预计将在预测期内实现最高成长率,因为它能够为机械臂、门和清洁装置提供精确可靠的控制。与气动和液压致动器更节能、维护需求更少,并且控制精度更高。紧凑型致动器设计和智慧回馈系统的创新,使牛互动更加顺畅,挤乳週期更快。随着製造商优先考虑永续性和性能,电动致动器正成为下一代机器人挤乳技术的关键推动者。
由于酪农行业的快速现代化和自动化需求的不断增长,预计亚太地区将在预测期内占据最大的市场份额。在政府倡议和私部门参与的推动下,中国、印度和日本等国家正在增加对智慧农业基础设施的投资。该地区庞大的酪农存栏量和日益增长的动物福利意识正在推动机器人解决方案的采用。此外,本地製造商提供经济高效的系统,使得即使是中型农场也更容易自动化。
预计亚太地区将在预测期内实现最高的复合年增长率,因为都市化、可支配收入增加以及饮食习惯改变等因素正在推动原奶消费,并鼓励酪农养殖场扩张。人工智慧、机器视觉和感测器整合等技术进步正在新兴经济体中迅速普及。促进智慧农业和数位转型的支持性政策正在进一步推动市场成长。
According to Stratistics MRC, the Global Robotic Milking Machines Market is accounted for $2.17 billion in 2025 and is expected to reach $4.72 billion by 2032 growing at a CAGR of 11.7% during the forecast period. Robotic milking machines are automated systems designed to extract milk from dairy animals with minimal human intervention. These machines use sensors, mechanical arms, and software to identify, clean, and attach milking units to teats, ensuring efficient and hygienic milk collection. They monitor milk flow, animal health, and productivity in real time, enhancing farm management. By reducing labor and improving consistency, robotic milking systems support scalable, data-driven dairy operations while promoting animal welfare and operational precision.
According to computers and electronics in agriculture Robotic milking systems can reduce labor requirements by up to 30% and increase milking frequency by 10-15%, leading to a 5-10% improvement in milk yield per cow.
Improved herd management and data analytics
The adoption of robotic milking systems is being propelled by advancements in herd monitoring technologies and real-time data analytics. These systems enable farmers to track individual cow health, milk yield, and feeding patterns with precision, leading to optimized productivity and early detection of health issues. Integration with cloud-based platforms and IoT sensors allows for centralized control and predictive maintenance, reducing downtime and operational inefficiencies. As dairy farms scale up, the need for intelligent automation tools becomes increasingly critical to maintain consistency and profitability.
Cow adaptation and training period
Unlike traditional milking setups, robotic units demand behavioral conditioning, which varies across breeds and individual animals. This transition period can temporarily reduce milk output and increase labor costs due to manual intervention. Additionally, stress or discomfort during initial training may affect cow welfare and milk quality. Farmers must invest in training protocols and environmental modifications to ease the adaptation process, which can be resource-intensive for small and mid-sized operations.
Integration with precision livestock farming (PLF)
PLF frameworks aim to enhance animal welfare, environmental sustainability, and farm economics through sensor-based monitoring and automated decision-making. Robotic milking systems can seamlessly integrate with PLF tools such as wearable health trackers, automated feeders, and climate control systems, creating a holistic smart farm ecosystem. This convergence enables real-time optimization of milking schedules, feed efficiency, and disease prevention. As governments and industry bodies promote digital agriculture, the demand for interoperable robotic solutions is expected to surge.
Volatility in milk prices
High capital investment and maintenance costs associated with these systems may not be justifiable during periods of low milk profitability. Market instability driven by global trade dynamics, feed cost inflation, and changing consumer preferences can deter long-term planning and technology upgrades. Smaller farms, in particular, may delay automation due to uncertain returns on investment. This economic unpredictability underscores the need for flexible financing models and government subsidies to support technology adoption.
The COVID-19 pandemic had a dual impact on the robotic milking machines market. On one hand, supply chain disruptions led to delays in equipment delivery, installation, and servicing, affecting farm operations. On the other hand, the crisis accelerated the shift toward contactless and labor-efficient solutions, boosting interest in robotic milking systems. With labor shortages and biosecurity concerns rising, dairy farms began prioritizing automation to ensure continuity and reduce human exposure. Remote monitoring capabilities and predictive maintenance tools gained traction, enabling farms to operate with minimal physical intervention.
The multi-stall unit segment is expected to be the largest during the forecast period
The multi-stall unit segment is expected to account for the largest market share during the forecast period as these systems are designed to handle high-volume milking operations efficiently, making them ideal for large-scale dairy farms. Their modular architecture allows simultaneous milking of multiple cows, reducing cycle time and increasing throughput. Advanced features such as automated cleaning, cow identification, and synchronized scheduling contribute to operational excellence positioning multi-stall units as the preferred choice for industrial applications.
The electric actuators segment is expected to have the highest CAGR during the forecast period
Over the forecast period, the electric actuators segment is predicted to witness the highest growth rate controlling robotic arms, gates, and cleaning mechanisms with precision and reliability. Compared to pneumatic or hydraulic alternatives, electric actuators offer superior energy efficiency, reduced maintenance, and enhanced control accuracy. Innovations in compact actuator design and smart feedback systems are enabling smoother cow interaction and faster milking cycles. As manufacturers prioritize sustainability and performance, electric actuators are emerging as a key enabler of next-generation robotic milking technologies.
During the forecast period, the Asia Pacific region is expected to hold the largest market share due to rapid dairy sector modernization and rising demand for automation. Countries like China, India, and Japan are witnessing increased investment in smart farming infrastructure, driven by government initiatives and private sector participation. The region's large dairy herd population and growing awareness of animal welfare are fueling adoption of robotic solutions. Additionally, the presence of local manufacturers offering cost-effective systems is making automation accessible to mid-sized farms.
Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR owing to factors such as urbanization, rising disposable incomes, and changing dietary habits are driving milk consumption, prompting farms to scale up operations. Technological advancements in AI, machine vision, and sensor integration are being rapidly adopted across emerging economies. Supportive policies promoting smart agriculture and digital transformation are further accelerating market growth.
Key players in the market
Some of the key players in Robotic Milking Machines Market include DeLaval, GEA Group AG, Lely, BouMatic, Fullwood JOZ, Milkomax Solutions Laitieres Inc., System Happel GmbH, Waikato Milking Systems NZ LP, AMS Galaxy USA, Dairymaster, Afimilk Ltd., SAC Christensen, Hokofarm Group, Lacteos S.A., Protrack by LIC, Tetra Pak, and Urban GmbH & Co. KG.
In July 2025, Fullwood JOZ introduced FULLSENSE 1.4, an upgraded herd management software offering enhanced scalability and smarter analytics. It enables proactive decision-making for dairy operations and integrates seamlessly with M2erlin robots. The update reflects the company's push toward intelligent automation.
In July 2025, Hokofarm Group installed its advanced RIC2Discover feed intake recording system at the University of Reading's dairy research barn. This marks the start of a larger research collaboration project. The system enhances precision feeding and behavioral tracking.
In March 2025, Milkomax Solutions Laitieres Inc. expanded its Robomax robotic milking system for tie-stall barns across the U.S., integrating M2erlin technology for hybrid herd management. The system supports both tie-stall and free-stall cows under one software platform. It reduces labor and improves milk quality.
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.