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市場調查報告書
商品編碼
1766084
全球精準畜牧市場:未來預測(至 2032 年)-按產品、農場類型、技術和地區進行分析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 |
根據 Stratistics MRC 的數據,全球精準畜牧市場預計在 2025 年將達到 54 億美元,預測期內的複合年成長率為 10.9%,到 2032 年將達到 112.1 億美元。精準畜牧是一種數據主導的畜牧養殖方法,利用感測器、GPS、人工智慧和數據分析等尖端工具來追蹤和管理牲畜的生產力、行為、健康和繁殖。借助這項技術,農民可以立即做出明智的決策,提高農場生產力,最佳化資源利用率,並促進動物福利。它有助於精準飼養、早期發現疾病和客製化牲畜護理。精準畜牧養殖透過將數位技術與傳統養殖方法結合,提高了現代畜牧養殖系統的永續性、可追溯性和盈利。
畜產品需求不斷成長和生產力最佳化
精準設備至關重要,因為酪農面臨著在不擴大牛規模或土地使用的情況下提高產量的壓力。即時追蹤、健康監測和自動化飼餵系統是提高牲畜生產性能和減少損失的技術範例。這些技術進步可以提高繁殖率,最佳化飼料轉換率,並節省獸醫成本。隨著客戶對品質和可追溯性的需求不斷成長,精準畜牧解決方案有助於提高合規性和透明度。整體而言,技術提升的生產力直接推動市場擴張。
初始投資高且缺乏技術專業知識
感測器、自動餵料器和數據分析工具等先進設備通常價格昂貴,難以廣泛推廣。此外,許多農民缺乏正確操作和維護這些複雜系統所需的技術知識。這種無知導致現有技術未被充分利用,從而限制了其潛在效益。技術援助和培訓管道有限也進一步阻礙了技術的採用。技術傳播不平衡和用戶信任度低導致市場發展緩慢。
整合人工智慧、物聯網和數據分析
透過智慧感測器和物聯網設備,持續收集溫度、運動和飼料攝取量等變數的數據。人工智慧系統分析這些數據,發現疾病或壓力的早期跡象,從而快速治療。數據主導的洞察有助於最佳化育種、飼養和整體牛管理。這改善了動物福利,降低了營運成本,並提高了產量。最終,這些技術提供了更有效、更永續的畜牧養殖方式。
資料隱私問題與網路安全風險
許多畜牧公司不願使用數位技術,因為他們擔心資料外洩和未授權存取。數據被他人濫用的可能性引發了人們對智慧財產權盜竊和競爭優勢喪失的擔憂。農村地區薄弱的網路安全框架使系統更加脆弱。此外,對於中小型農場來說,遵守複雜的資料保護法可能既困難又昂貴。考慮到這些風險,精準畜牧解決方案的採用一直進展緩慢。
COVID-19的影響
新冠疫情嚴重擾亂了精準畜牧市場,導致供應鏈延遲、勞動力短缺,以及農場關閉導致的進出受限。由於農民專注於維持營運,對智慧農業技術的投資暫時放緩。然而,這場危機也凸顯了遠端監控和自動化的需求,加速了疫情後人們對精準工具的興趣。對高效資源利用和牲畜健康管理需求的重新關注,推動了數位畜牧解決方案的逐步復甦和創新。
預計在預測期內硬體部分將成為最大的部分。
預計硬體領域將在預測期內佔據最大市場佔有率,這得益於其提供感測器、RFID 標籤和自動飼餵系統等關鍵工具。這些設備能夠即時監測動物的健康、行為和生產力,進而提升農民的決策能力。先進的 GPS 和無人機技術支援更有效率的牧場管理和牲畜追蹤。物聯網硬體的整合提高了數據準確性和營運效率。整體而言,智慧農業設備的普及率不斷提高,正推動精準畜牧業的發展。
預計家禽養殖業在預測期內將以最高的複合年成長率成長
在預測期內,由於對自動化健康和生產力監測的需求不斷成長,家禽養殖領域預計將呈現最高成長率。農民擴大採用感測器和電腦視覺等精準工具來及早發現疾病並最佳化飼餵計畫。這些技術提高了產蛋效率並降低了死亡率。人工智慧與數據分析的整合可以實現更好的雞群管理並提供預測性洞察。由於雞肉是全球主要的蛋白質來源,對可擴展精準解決方案的需求將繼續推動市場成長。
在預測期內,由於中國、印度和澳洲等國家擴大採用智慧農業技術,預計亞太地區將佔據最大的市場佔有率。政府支持數位農業的舉措,加上肉類和乳製品需求的不斷成長,推動了該地區的成長。該地區擁有大量的畜牧養殖戶,人們對最佳化動物健康和生產力的認知日益提高,進一步提升了市場前景。物聯網和基於人工智慧的監測、飼養和疾病追蹤解決方案的整合正在蓬勃發展,尤其是在技術發達的經濟體中。
由於對先進技術基礎設施和農業創新的大量投資,預計北美地區在預測期內的複合年成長率最高。美國和加拿大是主要貢獻者,它們利用數據主導的解決方案來改善動物福利、降低成本並提高生產力。主要企業的強大影響力、對永續畜牧業日益成長的關注以及強力的法規結構,正在推動精準工具的應用。此外,對抗生素使用和環境影響日益成長的擔憂,也促使畜牧養殖戶採用精準技術,以實現更有效率、更可追溯的營運。
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.