市場調查報告書
商品編碼
1558355
2030 年農業機器人市場預測:按產品、類型、農業環境、應用和地區進行的全球分析Agricultural Robots Market Forecasts to 2030 - Global Analysis By Offering, Type, Farming Environment, Application and By Geography |
根據Stratistics MRC預測,2024年全球農業機器人市場規模將達到174.5億美元,預計2030年將達到598.3億美元,預測期內複合年成長率為22.8%。
農業機器人或農業機器人是旨在增強和自動化各種農業流程的專用機器。這些機器人準確且有效率地執行種植、收割、除草、監測作物等任務。它配備了先進的感測器、攝影機和人工智慧,可以分析土壤狀況、檢測植物健康問題並最佳化資源利用,從而提高產量並降低人事費用。例如,用於犁地和種植的自動曳引機、從空中監控作物的無人機,以及可以在最小限度的情況下收割水果和蔬菜的機器人收割機。
根據世界銀行的資料,過去十年全球整體農業就業人數下降了15%。
精密農業需求不斷成長
精密農業專注於最佳化作物種植的田間管理,利用科技更準確地監測和管理作物健康、土壤條件和資源利用。配備先進感測器、GPS 和資料分析功能的農業機器人在這一演變中發揮關鍵作用。極其精確地種植、除草和收穫,減少對體力勞動的需求並最大限度地減少資源浪費。這些機器人可以分析土壤濕度,檢測害蟲,並在需要的地方精確施肥和散佈,從而提高作物產量和永續性。
缺乏技術純熟勞工
改善農場管理
農場管理的改進正在提高農業機器人的能力和效率。透過整合先進的資料分析、GPS 技術和即時監控,現代農場可以為機器人提供準確、可操作的資訊,以提高其性能。這些機器人專為種植、除草和收割等任務而設計,受益於這些最佳化的資料,可以更準確、更有效率地執行其功能。例如,先進的演算法可以幫助機器人以最小的干擾在田間導航,而感測器技術可以讓機器人識別並滿足特定作物的需求,從而減少資源浪費。
整合問題
整合問題阻礙了現有農業系統的無縫運行,極大地影響了農業機器人的有效性。這些機器人旨在實現種植、作物監測和收割等任務的自動化,但在與傳統機械和工作流程同步方面常常面臨挑戰。由於技術標準、通訊協定和資料格式的差異而出現相容性問題。然而,機器人和其他農業機械之間缺乏標準化介面可能會導致效率低下和成本增加。
COVID-19 大流行對農業機器人產生了重大影響,凸顯了該領域的挑戰和機會。由於封鎖和健康問題導致的全球供應鏈中斷和勞動力短缺,農業產業採用自動化帶來了越來越大的壓力。疫情加速了對機器人執行種植、收割和監測作物等任務的需求。這些機器可以減少對人力的依賴並確保業務的連續性。然而,該行業也遇到了製造延遲、零件成本上升和物流問題等障礙。
預計服務業在預測期內將是最大的。
預計服務領域在預測期內將成長最快,重點是高階支援和整合解決方案,以最大限度地提高這些技術的效率和效用。這項增強功能包括提供客製化維護、即時診斷和遠端故障排除,以確保機器人在不同的栽培條件下發揮最佳性能。此外,我們正在擴展我們的服務,包括為操作員提供客製化培訓和持續的技術支持,以適應不斷變化的農業實踐。透過整合資料分析和機器學習,服務供應商可以幫助農民最佳化機器人操作並提高作物產量。
酪農機器人產業預計在預測期內複合年成長率最高
由於在酪農實踐中引入高度自動化和精確性,預計酪農機器人產業在預測期內將出現最高的複合年成長率。這些複雜的機器人簡化了擠奶、餵食和監測乳牛健康狀況等任務。透過整合感測器、人工智慧和機器人技術,這些系統可確保一致且高效的擠奶過程,降低人事費用並提高牛奶品質。酪農機器人提供乳牛健康狀況的即時資料,能夠及早發現感染疾病和營養失衡等問題。這種資料主導的方法不僅提高了生產力,還透過滿足個別牛的需求來改善動物福利。
隨著酪農對精密農業的好處越來越了解,他們正在轉向先進技術來提高生產力和永續性,預計歐洲地區將在估計期間佔據最大的市場佔有率。智慧農業整合了資料主導的見解和自動化系統,正在全部區域提供作物監測無人機、自動曳引機和機器人收割機等解決方案。這些技術透過精確管理全部區域的種植、灌溉和收穫流程,有助於最佳化資源利用、降低人事費用並提高作物產量。
預計北美地區在預測期內將實現盈利成長。政府正在透過資金和研究津貼鼓勵尖端機器人技術的開發,以提高農場效率和生產力。注重安全標準和資料隱私的法規也發揮著重要作用,確保這些機器人在人類周圍安全運作並負責任地管理整個全部區域的農業資料。旨在減少農業對環境影響和促進永續實踐的政策正在推動機器人的區域部署,以最佳化資源利用並最大限度地減少廢棄物。
According to Stratistics MRC, the Global Agricultural Robots Market is accounted for $17.45 billion in 2024 and is expected to reach $59.83 billion by 2030 growing at a CAGR of 22.8% during the forecast period. Agricultural robots, or agribots, are specialized machines designed to enhance and automate various farming processes. These robots perform tasks such as planting, harvesting, weeding, and monitoring crops with precision and efficiency. Equipped with advanced sensors, cameras, and artificial intelligence, they can analyze soil conditions, detect plant health issues, and optimize resource use, leading to increased yields and reduced labor costs. Some examples include autonomous tractors for plowing and planting, drones for aerial crop monitoring, and robotic harvesters that can pick fruits and vegetables with minimal damage.
According to World Bank data, agricultural employment has decreased by 15% globally during the previous decade.
Rising need for precision agriculture
Precision agriculture focuses on optimizing field-level management regarding crop farming, using technologies to monitor and manage crop health, soil conditions, and resource use more accurately. Agricultural robots, equipped with advanced sensors, GPS, and data analytics, play a crucial role in this evolution. They perform tasks such as planting, weeding, and harvesting with exceptional precision, reducing the need for manual labor and minimizing resource waste. These robots can analyze soil moisture, detect pests, and apply fertilizers or pesticides precisely where needed, enhancing crop yields and sustainability.
Lack of skilled workforce
Improved farm management
Improved farm management practices are advancing the capabilities and efficiency of agricultural robots. By integrating sophisticated data analytics, GPS technology, and real-time monitoring, modern farms can provide robots with precise, actionable information that enhances their performance. These robots, designed for tasks like planting, weeding, and harvesting, benefit from this optimized data to execute their functions more accurately and efficiently. For instance, advanced algorithms help robots navigate fields with minimal disturbance, while sensor technologies allow them to identify and address specific crop needs, reducing resource waste.
Integration issues
Integration issues significantly hinder the effectiveness of agricultural robots by creating barriers to their seamless operation within existing farming systems. These robots, designed to automate tasks such as planting, monitoring crops, and harvesting, often face challenges in synchronizing with traditional machinery and workflows. Compatibility problems arise due to differences in technology standards, communication protocols, and data formats. However, the lack of standardized interfaces between robots and other farm equipment can lead to inefficient operations and increased costs.
The COVID-19 pandemic significantly impacted agricultural robots, highlighting both challenges and opportunities in the sector. With disruptions in global supply chains and labor shortages due to lockdowns and health concerns, the agriculture industry faced increased pressure to adopt automation. The pandemic accelerated the demand for robots capable of performing tasks like planting, harvesting, and monitoring crops, as these machines could mitigate the reliance on human labor and ensure operational continuity. However, the sector also encountered obstacles, including delays in manufacturing, increased costs for components, and logistical issues.
The Services segment is expected to be the largest during the forecast period
Services segment is expected to be the largest during the forecast period by focusing on advanced support and integration solutions that maximize the efficiency and utility of these technologies. This enhancement involves offering tailored maintenance, real-time diagnostics, and remote troubleshooting to ensure optimal robot performance in diverse farming conditions. Additionally, services are expanding to include customized training for operators and ongoing technical support to adapt to evolving agricultural practices. By integrating data analytics and machine learning, service providers can help farmers optimize robot operations and improve crop yields.
The Dairy Robots segment is expected to have the highest CAGR during the forecast period
Dairy Robots segment is expected to have the highest CAGR during the forecast period by introducing advanced automation and precision to dairy farming practices. These sophisticated robots streamline tasks such as milking, feeding, and monitoring the health of dairy cows. By integrating sensors, artificial intelligence, and robotics, these systems ensure consistent and efficient milking processes, reducing labor costs and improving milk quality. Dairy robots provide real-time data on cow health, enabling early detection of issues like infections or nutritional imbalances. This data-driven approach not only boosts productivity but also enhances animal welfare by catering to individual needs.
As farmers become more knowledgeable about the benefits of precision farming, they are increasingly turning to advanced technologies to improve productivity and sustainability, Europe region is expected to dominate the largest share of the market over the extrapolated period. Smart agriculture, which integrates data-driven insights and automated systems, offers solutions such as crop monitoring drones, autonomous tractors, and robotic harvesters across the region. These technologies help optimize resource use, reduce labor costs, and boost crop yields by precisely managing planting, irrigation and harvesting processes throughout the region.
North America region is poised to witness profitable growth during the projection period. Through funding initiatives and research grants, governments are encouraging the development of cutting-edge robotic technologies that increase efficiency and productivity on farms. Regulations that focus on safety standards and data privacy also play a crucial role, as they ensure that these robots operate safely around humans and manage agricultural data responsibly across the region. Policies aimed at reducing the environmental impact of farming and promoting sustainable practices are driving the regional adoption of robots that optimize resource use and minimize waste.
Key players in the market
Some of the key players in Agricultural Robots market include AGCO Corporation, AgEagle Aerial Systems Inc, Autonomous Solutions, Inc, Bayer CropScience, Blue River Technology Inc, GEA Group, Harvest Automation, Inc, John Deere, Kubota Corporation, Naio Technologies and Topcon Positioning Systems, Inc.
In July 2022, AgEagle Aerial Systems Inc., an industry-leading provider of full-stack drone, sensor, and software solutions for commercial and government/defense use, announced that, in accordance with certain waiver agreements dated as of July 22, 2022, the Company has made final holdback payments in full satisfaction of its payment obligations for the 2021 acquisitions of MicaSense, senseFly, SA, and senseFly, Inc.
In July 2022, Yamaha Motor Co., Ltd. is pleased to announce that it has increased its investment in TIER IV Inc. in order to build autonomous driving technology and promote its commercialization, including its automated transport solutions business for industrial grounds.