市场调查报告书
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1558356
到 2030 年牲畜监测市场预测:按组成部分、牲畜类型、应用和地区进行的全球分析Livestock Monitoring Market Forecasts to 2030 - Global Analysis By Component, Livestock Type, Application and By Geography |
根据 Stratistics MRC 的数据,2024 年全球牲畜监测市场规模为 45.5 亿美元,预计在预测期内将以 13.56% 的复合年增长率增长,到 2030 年达到 97.7 亿美元。
牲畜监测涉及对牲畜的系统观察和管理,以确保其健康、生产力和福祉。这种做法结合了传统方法和现代技术来追踪各种参数,如动物行为、生长速度、繁殖週期和健康状况。 GPS 追踪器、生物感测器和自动餵食系统等技术越来越多地被用来提供即时资料和潜在问题的早期预警。透过将这些技术与资料分析结合,酪农可以做出明智的决策,优化饲养和繁殖实践,并快速解决健康问题。
根据美国人口普查局的数据,美国人口预计将从 2014 年的 3.19 亿增加到 2060 年的 4.17 亿。美国农业部数据显示,2022年农业生产支出为4,572亿美元,比2021年的3,929亿美元成长15.2%。
对动物性蛋白质的需求增加
随着消费者对高品质肉类、乳製品和鸡蛋的需求日益增长,生产商正在转向先进的监控系统来提高生产力并确保动物福利。这些技术,例如穿戴式感测器、自动饲餵系统和先进的资料分析,使农民能够密切追踪牲畜的健康、生长和行为。透过提供即时洞察,这些工具可以帮助优化饲料效率、降低疾病发生率并改善整体牛管理。此外,它还透过最大限度地减少废弃物和环境影响来支持更永续的农业。
资料隐私和安全问题
牲畜监测系统严重依赖大量敏感资讯的收集和分析。这些系统引起了重大的隐私和安全问题,因为它们透过各种感测器和技术收集有关牲畜健康、行为和环境条件的资料。未授权存取这些资料可能会导致敏感资讯洩露,例如专有育种方法和农场运作。透过网路发送的资料越多,网路攻击的风险就越大,可能会损害监视系统的完整性和动物的安全。
与智慧农业解决方案集成
与智慧农业解决方案的整合利用先进技术优化动物福利和农场效率,正在彻底改变牲畜监测。使用物联网感测器、穿戴式装置和资料分析,酪农可以即时持续追踪生命征象、运动模式和环境条件。这种整合可以实现健康问题的早期检测、自动餵食和精确的环境控制,从而降低人事费用并提高整体生产力。先进的演算法和机器学习模型可以分析资料趋势,并提供可操作的见解和预测分析,以预防疾病和加强畜牧实践。
监理和合规问题
监管和合规问题是牲畜监测系统面临的重大挑战。这些法规可能包括限制收集和共用有关牲畜及其管理的敏感资讯的资料隐私法。遵守环境和动物福利标准也可能需要复杂的报告和文件,这为实施有效的监测技术造成了障碍。区域监管差异进一步加剧了不同司法管辖区部署统一解决方案的复杂性。
COVID-19 大流行对牲畜监测产生了重大影响,暴露了农业实践中的脆弱性和改进的机会。封锁和限制限制了人员的流动,扰乱了正常的监测和护理程序。这给维持牲畜健康、管理饲料供应和必要的兽医干预措施带来了挑战。此次疫情也凸显了对更强大的远端监控解决方案的需求。因此,远端追踪牲畜健康和福利的技术的采用加速,包括物联网感测器、无人机和人工智慧主导的分析。
服务业务预计将在预测期内成为最大的业务
预计服务业将在预测期内成为最大的产业,因为它可以改善牲畜健康、生产力和管理效率。透过利用物联网感测器、人工智慧主导的分析和即时资料监控等创新技术,这项增强功能可让农民准确了解牛的健康状况。物联网感测器收集体温、运动和采食量等重要资料,人工智慧演算法分析这些资讯以检测疾病或痛苦的早期征兆。这种积极主动的方法不仅有助于及时干预,还可以优化繁殖和饲养策略,最终提高生产力并降低营运成本。
健康监测产业预计在预测期内复合年增长率最高
由于采用先进技术和资料分析来更有效地追踪和管理牲畜的健康状况,因此预期健康监测产业在预测期内将出现最高的复合年增长率。穿戴式感测器、智慧项圈和自动健康追踪系统的整合使农民能够持续监测体温、心率和活动水平等关键健康指标。这些即时资料可以及早发现疾病、压力和其他健康问题,以便及时介入并降低风险发生。
欧洲地区透过整合物联网感测器、GPS 追踪和资料分析等先进技术,在外推期内获得了最大的市场占有率。这些创新将使农民能够即时监测牲畜的健康、行为和生产力,从而在整个全部区域做出更明智、更及时的决策。感测器可以追踪生命体征、检测疾病的早期征兆并优化餵食方法。 GPS 追踪有助于管理放牧模式并防止过度放牧,资料分析为更好的育种和营养策略提供见解。这些资料主导的方法减少浪费、提高生产力并支持永续农业。这些因素正在推动该地区的成长。
预计北美地区在预测期内将保持盈利成长。法规要求使用先进的监控系统,包括 GPS 追踪和健康感测器,以确保有关牲畜的准确、即时资讯。这些法规提高了食品供应链的透明度和可追溯性,增强了消费者的信心,并支持全部区域的食品安全。此外,遵守环境法规可以鼓励永续实践,例如优化饲料使用和废弃物管理,并减少畜牧业对生态的影响。采用先进监测技术的财政奖励和补贴将进一步加速它们的整合并促进区域成长。
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.