市場調查報告書
商品編碼
1558356
到 2030 年牲畜監測市場預測:按組成部分、牲畜類型、應用和地區進行的全球分析Livestock Monitoring Market Forecasts to 2030 - Global Analysis By Component, Livestock Type, Application and By Geography |
根據 Stratistics MRC 的數據,2024 年全球牲畜監測市場規模為 45.5 億美元,預計在預測期內將以 13.56% 的複合年成長率成長,到 2030 年達到 97.7 億美元。
牲畜監測涉及對牲畜的系統觀察和管理,以確保其健康、生產力和福祉。這種做法結合了傳統方法和現代技術來追蹤各種參數,如動物行為、生長速度、繁殖週期和健康狀況。 GPS 追蹤器、生物感測器和自動餵食系統等技術擴大被用來提供即時資料和潛在問題的早期預警。透過將這些技術與資料分析結合,酪農可以做出明智的決策,最佳化飼養和繁殖實踐,並快速解決健康問題。
根據美國人口普查局的數據,美國人口預計將從 2014 年的 3.19 億增加到 2060 年的 4.17 億。美國農業部數據顯示,2022年農業生產支出為4,572億美元,比2021年的3,929億美元成長15.2%。
對動物性蛋白質的需求增加
隨著消費者對高品質肉類、乳製品和雞蛋的需求日益成長,生產商正在轉向先進的監控系統來提高生產力並確保動物福利。這些技術,例如穿戴式感測器、自動飼餵系統和先進的資料分析,使農民能夠密切追蹤牲畜的健康、生長和行為。透過提供即時洞察,這些工具可以幫助最佳化飼料效率、降低疾病發生率並改善整體牛管理。此外,它還透過最大限度地減少廢棄物和環境影響來支持更永續的農業。
資料隱私和安全問題
牲畜監測系統嚴重依賴大量敏感資訊的收集和分析。這些系統引起了重大的隱私和安全問題,因為它們透過各種感測器和技術收集有關牲畜健康、行為和環境條件的資料。未授權存取這些資料可能會導致敏感資訊洩露,例如專有育種方法和農場運作。透過網路發送的資料越多,網路攻擊的風險就越大,可能會損害監視系統的完整性和動物的安全。
與智慧農業解決方案整合
與智慧農業解決方案的整合利用先進技術最佳化動物福利和農場效率,正在徹底改變牲畜監測。使用物聯網感測器、穿戴式裝置和資料分析,酪農可以即時持續追蹤生命徵象、運動模式和環境條件。這種整合可以實現健康問題的早期檢測、自動餵食和精確的環境控制,從而降低人事費用並提高整體生產力。先進的演算法和機器學習模型可以分析資料趨勢,並提供可操作的見解和預測分析,以預防疾病和加強畜牧實踐。
監理和合規問題
監管和合規問題是牲畜監測系統面臨的重大挑戰。這些法規可能包括限制收集和共用有關牲畜及其管理的敏感資訊的資料隱私法。遵守環境和動物福利標準也可能需要複雜的報告和文件,這為實施有效的監測技術造成了障礙。區域監管差異進一步加劇了不同司法管轄區部署統一解決方案的複雜性。
COVID-19 大流行對牲畜監測產生了重大影響,暴露了農業實踐中的脆弱性和改進的機會。封鎖和限制限制了人員的流動,擾亂了正常的監測和護理程序。這給維持牲畜健康、管理飼料供應和必要的獸醫干預措施帶來了挑戰。此次疫情也凸顯了對更強大的遠端監控解決方案的需求。因此,遠端追蹤牲畜健康和福利的技術的採用加速,包括物聯網感測器、無人機和人工智慧主導的分析。
服務業務預計將在預測期內成為最大的業務
預計服務業將在預測期內成為最大的產業,因為它可以改善牲畜健康、生產力和管理效率。透過利用物聯網感測器、人工智慧主導的分析和即時資料監控等創新技術,這項增強功能可讓農民準確了解牛的健康狀況。物聯網感測器收集體溫、運動和採食量等重要資料,人工智慧演算法分析這些資訊以檢測疾病或痛苦的早期徵兆。這種積極主動的方法不僅有助於及時干預,還可以最佳化繁殖和飼養策略,最終提高生產力並降低營運成本。
健康監測產業預計在預測期內複合年成長率最高
由於採用先進技術和資料分析來更有效地追蹤和管理牲畜的健康狀況,因此預期健康監測產業在預測期內將出現最高的複合年成長率。穿戴式感測器、智慧項圈和自動健康追蹤系統的整合使農民能夠持續監測體溫、心率和活動水平等關鍵健康指標。這些即時資料可以及早發現疾病、壓力和其他健康問題,以便及時介入並降低風險發生。
歐洲地區透過整合物聯網感測器、GPS 追蹤和資料分析等先進技術,在外推期內獲得了最大的市場佔有率。這些創新將使農民能夠即時監測牲畜的健康、行為和生產力,從而在整個全部區域做出更明智、更及時的決策。感測器可以追蹤生命徵象、檢測疾病的早期徵兆並最佳化餵食方法。 GPS 追蹤有助於管理放牧模式並防止過度放牧,資料分析為更好的育種和營養策略提供見解。這些資料主導的方法減少浪費、提高生產力並支持永續農業。這些因素正在推動該地區的成長。
預計北美地區在預測期內將保持盈利成長。法規要求使用先進的監控系統,包括 GPS 追蹤和健康感測器,以確保有關牲畜的準確、即時資訊。這些法規提高了食品供應鏈的透明度和可追溯性,增強了消費者的信心,並支持全部區域的食品安全。此外,遵守環境法規可以鼓勵永續實踐,例如最佳化飼料使用和廢棄物管理,並減少畜牧業對生態的影響。採用先進監測技術的財政獎勵和補貼將進一步加速它們的整合並促進區域成長。
According to Stratistics MRC, the Global Livestock Monitoring Market is accounted for $4.55 billion in 2024 and is expected to reach $9.77 billion by 2030 growing at a CAGR of 13.56% during the forecast period. Livestock monitoring involves the systematic observation and management of farm animals to ensure their health, productivity, and well-being. This practice utilizes a combination of traditional methods and modern technologies to track various parameters such as animal behavior, growth rates, reproductive cycles, and health conditions. Technologies like GPS trackers, biometric sensors, and automated feeding systems are increasingly employed to provide real-time data and early warnings of potential issues. By integrating these technologies with data analytics, farmers can make informed decisions, optimize feeding and breeding practices, and quickly address health concerns.
According to the U.S. Census Bureau, the U.S. population is anticipated to increase from 319 million in 2014 to 417 million in 2060. According to USDA, farm production expenditure accounted for USD 457.2 billion in 2022, a 15.2% rise in comparison USD 392.9 billion in 2021.
Increasing demand for animal protein
As consumers increasingly seek high-quality meat, dairy, and eggs, producers are turning to sophisticated monitoring systems to enhance productivity and ensure animal welfare. These technologies, including wearable sensors, automated feeding systems, and advanced data analytics, enable farmers to closely track the health, growth, and behavior of their livestock. By providing real-time insights, these tools help optimize feed efficiency, reduce disease outbreaks, and improve overall herd management. Furthermore, they support more sustainable farming practices by minimizing waste and environmental impact.
Data privacy and security concerns
Data privacy and security concerns are significantly impacting livestock monitoring systems, which rely heavily on collecting and analyzing vast amounts of sensitive information. These systems gather data on animal health, behavior, and environmental conditions through various sensors and technologies, raising substantial privacy and security issues. Unauthorized access to this data could lead to breaches of confidential information, such as proprietary breeding methods or farm operations. The risk of cyberattacks increases as more data is transmitted over networks, potentially compromising the integrity of monitoring systems and the safety of the animals.
Integration with smart farming solutions
Integration with smart farming solutions is revolutionizing livestock monitoring by leveraging advanced technologies to optimize animal welfare and farm efficiency. Through the use of IoT sensors, wearables, and data analytics, farmers can continuously track vital signs, movement patterns, and environmental conditions in real-time. This integration allows for early detection of health issues, automated feeding, and precise environmental control, thereby reducing labor costs and improving overall productivity. Advanced algorithms and machine learning models can analyze data trends, offering actionable insights and predictive analytics to prevent diseases and enhance breeding practices.
Regulatory and compliance issues
Regulatory and compliance issues pose significant challenges to livestock monitoring systems, primarily due to the diverse and often stringent requirements imposed by various governing bodies. These regulations can include data privacy laws, which restrict the collection and sharing of sensitive information about livestock and their management. Compliance with environmental and animal welfare standards can require complex reporting and documentation, creating barriers for the implementation of effective monitoring technologies. Differences in regional regulations further complicate the deployment of uniform solutions across different jurisdictions.
The COVID-19 pandemic significantly impacted livestock monitoring, revealing both vulnerabilities and opportunities for improvement in agricultural practices. Lockdowns and restrictions limited the movement of personnel, disrupting regular monitoring and care routines. This led to challenges in maintaining animal health, managing feed supplies, and conducting essential veterinary interventions. The pandemic also underscored the need for more robust and remote monitoring solutions. As a result, there was an accelerated adoption of technology such as IoT sensors, drones, and AI-driven analytics to track livestock health and well-being from a distance.
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 as it improves animal health, productivity, and management efficiency. Leveraging innovations such as IoT sensors, AI-driven analytics, and real-time data monitoring, this enhancement provides farmers with precise insights into their herds' well-being. IoT sensors collect critical data on factors like temperature, movement, and feed intake, while AI algorithms analyze this information to detect early signs of illness or distress. This proactive approach not only helps in timely intervention but also optimizes breeding and feeding strategies, ultimately leading to increased productivity and reduced operational costs.
The Health Monitoring segment is expected to have the highest CAGR during the forecast period
Health Monitoring segment is expected to have the highest CAGR during the forecast period by introducing advanced technologies and data analytics to track and manage the well-being of farm animals more effectively. Through the integration of wearable sensors, smart collars, and automated health tracking systems, farmers can now continuously monitor key health indicators such as temperature, heart rate, and activity levels. This real-time data allows for early detection of diseases, stress, and other health issues, enabling prompt intervention and reducing the risk of outbreaks.
Europe region commanded the largest market share over the extrapolated period by integrating advanced technologies such as IoT sensors, GPS tracking, and data analytics. These innovations enable farmers to monitor the health, behavior, and productivity of their livestock in real-time, leading to more informed and timely decision-making across the region. Sensors can track vital signs, detect early signs of illness, and optimize feeding practices, which not only improves animal welfare but also boosts overall farm efficiency throughout the region. GPS tracking helps in managing grazing patterns and preventing overgrazing, while data analytics provide insights for better breeding and nutrition strategies. This data-driven approach reduces waste, enhances productivity and supports sustainable farming practices. These elements are boosting the regional growth.
North America region is poised to hold profitable growth during the projected period. Regulations mandate the use of sophisticated monitoring systems, including GPS tracking and health sensors to ensure accurate and real-time information on livestock. These rules improve transparency and traceability in the food supply chain, which boosts consumer confidence and supports food safety across the region. Additionally, compliance with environmental regulations encourages sustainable practices, such as optimized feed usage and waste management, reducing the ecological impact of livestock farming. Financial incentives and subsidies for adopting advanced monitoring technologies further accelerate their integration thereby driving the regional growth.
Key players in the market
Some of the key players in Livestock Monitoring market include Afimilk Ltd, Allflex Livestock Intelligence, Corteva Agriscience, DeLaval Inc, HID Global Corporation, Hokofarm-Group BV, Merck Animal Health, Neogen Corporation, Pioneer Hi-Bred and Trimble Ag.
In July 2024, Fancom BV collaborated with OptiFarm for development of a novel livestock management software using AI models. The testing of this product is currently underway in select locations in Netherlands.
In April 2024, BouMatic partnered with Brolis Sensor Technology to develop integrations between technologies of both companies a develop novel products for dairy farming.
In January 2024, Nikon launched NiLIMO, a platform that utilizes AI for enabling the farmer to monitor their livestock animals for 24 hours and 365 days of the year. The AI used in this system notifies the owner at the time of calving period of the livestock.
In January 2024, Practo India launched Verdant Impact, an animal husbandry platform for livestock that has RFID-based health monitoring and telemedicine features.
In October 2023, Merck Animal Health introduced a new livestock monitoring technology in North America that integrates AI and IoT to monitor health metrics in real-time. It provides farmers with actionable insights to improve herd management. Further, it enhances efficiency by reducing labor costs, streamlining operations, and optimizing resource management.