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市场调查报告书
商品编码
1766084
全球精准畜牧市场:未来预测(至 2032 年)-按产品、农场类型、技术和地区进行分析Precision Livestock Market Forecasts to 2032 - Global Analysis By Offering (Hardware, Software and Services), Farm Type (Dairy Farms, Swine Farms, Poultry Farms and Other Farm Types), Technology and By Geography |
根据 Stratistics MRC 的数据,全球精准畜牧市场预计在 2025 年将达到 54 亿美元,预测期内的复合年增长率为 10.9%,到 2032 年将达到 112.1 亿美元。精准畜牧是一种数据主导的畜牧养殖方法,利用感测器、GPS、人工智慧和数据分析等尖端工具来追踪和管理牲畜的生产力、行为、健康和繁殖。借助这项技术,农民可以立即做出明智的决策,提高农场生产力,优化资源利用率,并促进动物福利。它有助于精准饲养、早期发现疾病和定制牲畜护理。精准畜牧养殖透过将数位技术与传统养殖方法结合,提高了现代畜牧养殖系统的永续性、可追溯性和盈利。
畜产品需求不断成长和生产力优化
精准设备至关重要,因为酪农面临着在不扩大牛规模或土地使用的情况下提高产量的压力。即时追踪、健康监测和自动化饲餵系统是提高牲畜生产性能和减少损失的技术范例。这些技术进步可以提高繁殖率,优化饲料转换率,并节省兽医成本。随着客户对品质和可追溯性的需求不断增长,精准畜牧解决方案有助于提高合规性和透明度。整体而言,技术提升的生产力直接推动市场扩张。
初始投资高且缺乏技术专业知识
感测器、自动餵料器和数据分析工具等先进设备通常价格昂贵,难以广泛推广。此外,许多农民缺乏正确操作和维护这些复杂系统所需的技术知识。这种无知导致现有技术未被充分利用,从而限制了其潜在效益。技术援助和培训管道有限也进一步阻碍了技术的采用。技术传播不平衡和用户信任度低导致市场发展缓慢。
整合人工智慧、物联网和数据分析
透过智慧感测器和物联网设备,持续收集温度、运动和饲料摄取量等变数的数据。人工智慧系统分析这些数据,发现疾病或压力的早期迹象,从而快速治疗。数据主导的洞察有助于优化育种、饲养和整体牛管理。这改善了动物福利,降低了营运成本,并提高了产量。最终,这些技术提供了更有效、更永续的畜牧养殖方式。
资料隐私问题与网路安全风险
许多畜牧公司不愿使用数位技术,因为他们担心资料外洩和未授权存取。数据被他人滥用的可能性引发了人们对智慧财产权盗窃和竞争优势丧失的担忧。农村地区薄弱的网路安全框架使系统更加脆弱。此外,对于中小型农场来说,遵守复杂的资料保护法可能既困难又昂贵。考虑到这些风险,精准畜牧解决方案的采用一直进展缓慢。
COVID-19的影响
新冠疫情严重扰乱了精准畜牧市场,导致供应链延迟、劳动力短缺,以及农场关闭导致的进出受限。由于农民专注于维持运营,对智慧农业技术的投资暂时放缓。然而,这场危机也凸显了远端监控和自动化的需求,加速了疫情后人们对精准工具的兴趣。对高效资源利用和牲畜健康管理需求的重新关注,推动了数位畜牧解决方案的逐步復苏和创新。
预计在预测期内硬体部分将成为最大的部分。
预计硬体领域将在预测期内占据最大市场占有率,这得益于其提供感测器、RFID 标籤和自动饲餵系统等关键工具。这些设备能够即时监测动物的健康、行为和生产力,进而提升农民的决策能力。先进的 GPS 和无人机技术支援更有效率的牧场管理和牲畜追踪。物联网硬体的整合提高了数据准确性和营运效率。整体而言,智慧农业设备的普及率不断提高,正推动精准畜牧业的发展。
预计家禽养殖业在预测期内将以最高的复合年增长率成长
在预测期内,由于对自动化健康和生产力监测的需求不断增长,家禽养殖领域预计将呈现最高成长率。农民越来越多地采用感测器和电脑视觉等精准工具来及早发现疾病并优化饲餵计画。这些技术提高了产蛋效率并降低了死亡率。人工智慧与数据分析的整合可以实现更好的鸡群管理并提供预测性洞察。由于鸡肉是全球主要的蛋白质来源,对可扩展精准解决方案的需求将继续推动市场成长。
在预测期内,由于中国、印度和澳洲等国家越来越多地采用智慧农业技术,预计亚太地区将占据最大的市场占有率。政府支持数位农业的倡议,加上肉类和乳製品需求的不断增长,推动了该地区的成长。该地区拥有大量的畜牧养殖户,人们对优化动物健康和生产力的认识日益提高,进一步提升了市场前景。物联网和基于人工智慧的监测、饲养和疾病追踪解决方案的整合正在蓬勃发展,尤其是在技术发达的经济体中。
由于对先进技术基础设施和农业创新的大量投资,预计北美地区在预测期内的复合年增长率最高。美国和加拿大是主要贡献者,它们利用数据主导的解决方案来改善动物福利、降低成本并提高生产力。主要企业的强大影响力、对永续畜牧业日益增长的关注以及强有力的法规结构,正在推动精准工具的应用。此外,对抗生素使用和环境影响日益增长的担忧,也促使畜牧养殖户采用精准技术,以实现更有效率、更可追溯的营运。
According to Stratistics MRC, the Global Precision Livestock Market is accounted for $5.4 billion in 2025 and is expected to reach $11.21 billion by 2032 growing at a CAGR of 10.9% during the forecast period. A data-driven method of raising animals, precision livestock makes use of cutting-edge tools like sensors, GPS, artificial intelligence, and data analytics to track and control the productivity, behaviour, health, and reproduction of livestock. With the help of this technology, farmers can make well-informed decisions instantly, enhancing farm productivity, optimising resource use, and promoting animal welfare. It encourages precision feeding, early disease detection, and customised animal care. Precision livestock improves sustainability, traceability, and profitability in contemporary animal husbandry systems by fusing digital technologies with conventional farming methods.
Rising Demand for Livestock Products & Productivity Optimization
Precision instruments are essential because farmers are under pressure to increase output without increasing the size of their herds or their land use. Real-time tracking, health monitoring, and automated feeding systems are examples of technologies that enhance animal performance and lower losses. These developments improve reproduction rates, optimise feed conversion ratios, and save veterinary expenses. Precision livestock solutions facilitate compliance and transparency as customer demands for quality and traceability increase. In general, market expansion is directly fuelled by technologically enhanced productivity.
High Initial Investment and Lack of Technical Expertise
Advanced devices like sensors, automatic feeders, and data analytics tools are frequently too expensive for broad use. Furthermore, a lot of farmers lack the technical know-how required to properly run and maintain these intricate systems. This ignorance causes the available technology to be underutilised, which lessens their potential advantages. Adoption is further discouraged by limited access to technical help and training. As a result of uneven technological penetration and decreased user confidence, market development slows.
Integration of AI, IoT, and data analytics
Continuous data on variables like temperature, movement, and feed intake is gathered via smart sensors and Internet of Things devices. AI systems examine this data to find early indicators of illness or stress, enabling prompt treatment. Optimising breeding, feeding, and general herd management is made easier with data-driven insights. This improves animal welfare, lowers operating expenses, and increases output. In the end, these technologies provide more effective and sustainable methods of raising animals.
Data privacy concerns and cybersecurity risks
A lot of livestock enterprises are hesitant to use digital technologies because they are concerned about data breaches and illegal access. Concerns regarding intellectual property theft and loss of competitive advantage are raised by the possible abuse of data by other parties. System vulnerabilities are further increased in rural locations by inadequate cybersecurity frameworks. Furthermore, small and mid-sized farms may find it difficult and expensive to comply with complicated data protection laws. The adoption of precision livestock solutions is slowed down by these dangers taken together.
Covid-19 Impact
The Covid-19 pandemic significantly disrupted the Precision Livestock Market by causing supply chain delays, labour shortages, and restricted access to farms due to lockdowns. Investment in smart farming technologies temporarily slowed as farmers focused on operational survival. However, the crisis also highlighted the need for remote monitoring and automation, accelerating interest in precision tools post-pandemic. The demand for efficient resource use and animal health management saw renewed focus, driving gradual recovery and innovation in digital livestock solutions.
The hardware segment is expected to be the largest during the forecast period
The hardware segment is expected to account for the largest market share during the forecast period by offering essential tools like sensors, RFID tags, and automated feeding systems. These devices enable real-time monitoring of animal health, behavior, and productivity, enhancing decision-making for farmers. Advanced GPS and drone technologies support better pasture management and livestock tracking. Integration of IoT-enabled hardware improves data accuracy and operational efficiency. Overall, the rising adoption of smart farming equipment drives growth in the precision livestock industry.
The poultry farms segment is expected to have the highest CAGR during the forecast period
Over the forecast period, the poultry farms segment is predicted to witness the highest growth rate, due to the rising demand for automated health and productivity monitoring. Farmers increasingly adopt precision tools like sensors and computer vision to detect diseases early and optimize feeding schedules. These technologies improve egg production efficiency and reduce mortality rates. Integration of AI and data analytics enables better flock management and predictive insights. As poultry remains a staple protein source globally, the need for scalable precision solutions continues to drive market growth.
During the forecast period, the Asia Pacific region is expected to hold the largest market share due to the growing adoption of smart farming technologies in countries like China, India, and Australia. Government initiatives supporting digital agriculture, coupled with increasing demand for meat and dairy products, are driving growth. The region's large livestock population and rising awareness of animal health and productivity optimization further enhance market prospects. Integration of IoT and AI-based solutions for monitoring, feeding, and disease tracking is gaining momentum, particularly in technologically progressive economies.
Over the forecast period, the North America region is anticipated to exhibit the highest CAGR, owing to advanced technological infrastructure and high investment in agri-tech innovations. The United States and Canada are key contributors, leveraging data-driven solutions to enhance animal welfare, reduce costs, and improve productivity. Robust presence of key players, rising focus on sustainable livestock farming, and strong regulatory frameworks promote the adoption of precision tools. Moreover, growing concerns over antibiotic use and environmental impact are pushing livestock farmers to adopt precision technologies for more efficient and traceable operations.
Key players in the market
Some of the key players profiled in the Precision Livestock Market include DeLaval, Allflex Livestock Intelligence, GEA Farm Technology (GEA Group), Afimilk, Lely International, BouMatic, Dairymaster, Fancom BV, Nedap N.V., Livestock Improvement Corporation (LIC), Merck Animal Health, Zoetis, AGCO Corporation, Cargill, BinSentry Inc., Moocall and Optifarm.
In January 2024, DeLaval introduced VMS(TM) Batch Milking, a robotic milking solution tailored for large herds, designed to streamline operations, reduce labor demands, and enhance overall efficiency in modern dairy farming.
In September 2023, DeLaval formed a strategic partnership with John Deere to launch the Milk Sustainability Center (MSC) platform. This initiative enables dairy farmers to monitor nutrient use efficiency (NUE), CO2e emissions, and integrate agronomic and herd data for improved sustainability.