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市場調查報告書
商品編碼
1833460
2032 年機器人擠乳機市場預測:按系統類型、產品、牛規模、致動器、技術、最終用戶和地區進行的全球分析Robotic Milking Machines Market Forecasts to 2032 - Global Analysis By System Type, Offering, Herd Size, Actuator, Technology, End User and By Geography |
根據 Stratistics MRC 的數據,全球機器人擠乳機市場預計到 2025 年將達到 21.7 億美元,到 2032 年將達到 47.2 億美元,預測期內的複合年成長率為 11.7%。
機器人擠奶機是一種自動化系統,旨在最大限度地減少人工干預,從酪農身上擠奶。這些機器使用感測器、機械手臂和軟體來識別、清潔擠奶裝置並將其連接到乳頭上,確保高效衛生的擠奶。這些機器即時監測牛奶流量、動物健康狀況和生產力,從而增強農場管理。透過減少勞動力並提高一致性,機器人擠乳系統支援可擴展、數據主導的酪農營運,同時提升動物福利和操作準確性。
根據《農業電腦與電子技術》報告,機器人擠乳系統可減少高達 30% 的勞動力需求,提高擠乳頻率 10-15%,並將每頭牛的產乳量提高 5-10%。
改善牛管理和數據分析
機器人擠乳系統的採用正受到牛監控技術和即時數據分析技術進步的推動。這些系統使酪農能夠精準追蹤每頭牛的健康狀況、產乳量和飼餵模式,從而最佳化生產力並及早發現健康問題。與雲端基礎平台和物聯網感測器的整合可實現集中控制和預測性維護,從而減少停機時間和營運效率低下。隨著酪農規模的擴大,對智慧自動化工具的需求也日益成長,以保持一致性和盈利。
牛適應和訓練期
與傳統的擠乳裝置不同,機器人擠乳裝置需要根據牛的品種和個體進行行為訓練。由於人工干預,這個過渡期可能會暫時降低產奶量並增加人事費用。此外,初始訓練期間的壓力和不適會影響牛的福利和牛奶品質。酪農必須投資培訓通訊協定和環境改善,以簡化適應過程,這對於中小型乳牛場來說可能是資源密集的。
與精準畜牧養殖(PLF)的整合
PLF 框架旨在透過基於感測器的監測和自動化決策來改善動物福利、環境永續性和農場經濟效益。機器人擠乳系統可以與 PLF 工具(例如穿戴式健康追蹤器、自動餵食器和氣候控制系統)無縫整合,從而建立一個整體的智慧農場生態系統。這種整合能夠即時最佳化擠奶計劃、飼料效率和疾病預防。隨著政府和行業組織推動數位農業,對可互通機器人解決方案的需求預計將飆升。
牛奶價格波動
在牛奶盈利低迷的時期,這些系統相關的高額資本投資和維護成本可能顯得不合理。全球貿易動態、飼料成本上漲以及消費者偏好導致的市場波動,可能會阻礙長期規劃和技術升級。尤其是小型酪農,由於投資回報的不確定性,可能會推遲自動化。這種經濟不確定性凸顯了靈活的資金籌措模式和政府補貼以支持技術應用的必要性。
新冠疫情對機器人擠乳機市場產生了雙重影響。一方面,供應鏈中斷導致設備交付、安裝和維修服務延遲,影響了酪農的運作。另一方面,這場危機加速了非接觸式、高效能勞動力解決方案的轉變,增加了人們對機器人擠乳系統的興趣。在勞動力短缺和日益嚴重的生物安全問題背景下,酪農開始優先考慮自動化,以確保連續性並減少人員傷亡。遠端監控功能和預測性維護工具的普及,使得酪農能夠以最少的物理干預進行運作。
預測期內,多檔位單元市場預計將達到最大規模
多臥位擠奶機預計將在預測期內佔據最大的市場佔有率,因為它們的設計旨在高效處理大量擠奶工作,使其成為大型酪農的理想系統。其模組化架構允許同時擠奶多頭牛,從而縮短了擠奶週期並提高了產量。自動清潔、牛識別和同步調度等先進功能有助於提高營運效率,使多臥擠乳機成為工業應用的理想選擇。
電動致動器市場預計將在預測期內實現最高複合年成長率
電動致動器領域預計將在預測期內實現最高成長率,因為它能夠為機械臂、門和清潔裝置提供精確可靠的控制。與氣動和液壓致動器更節能、維護需求更少,並且控制精度更高。緊湊型致動器設計和智慧回饋系統的創新,使牛互動更加順暢,擠乳週期更快。隨著製造商優先考慮永續性和性能,電動致動器正成為下一代機器人擠乳技術的關鍵推動者。
由於酪農行業的快速現代化和自動化需求的不斷成長,預計亞太地區將在預測期內佔據最大的市場佔有率。在政府舉措和私部門參與的推動下,中國、印度和日本等國家正在增加對智慧農業基礎設施的投資。該地區龐大的酪農存欄量和日益成長的動物福利意識正在推動機器人解決方案的採用。此外,本地製造商提供經濟高效的系統,使得即使是中型農場也更容易自動化。
預計亞太地區將在預測期內實現最高的複合年成長率,因為都市化、可支配收入增加以及飲食習慣改變等因素正在推動原奶消費,並鼓勵酪農養殖場擴張。人工智慧、機器視覺和感測器整合等技術進步正在新興經濟體中迅速普及。促進智慧農業和數位轉型的支持性政策正在進一步推動市場成長。
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.