畜牧監測市場－2026-2031年預測

Livestock Monitoring Market - Forecast from 2026 to 2031

出版日期: 2026年01月09日 | 出版商:

Knowledge Sourcing Intelligence | 英文 146 Pages | 商品交期: 最快1-2個工作天內

價格

簡介目錄

預計畜牧業監測市場將從 2025 年的 23.45 億美元成長到 2031 年的 34.44 億美元，複合年成長率為 6.62%。

畜牧監測系統，通常被稱為精準畜牧養殖（PLF），整合了物聯網感測器、電腦視覺、RFID/NFC耳標、瘤胃丸劑、穿戴式項圈和無人機搭載的熱感攝影機，並結合雲分析平台，提供關於個體動物位置、活動、反芻、體溫、採食行為、發情檢測和早期疾病指標的持續數據。其核心價值提案在三個方面：提高單頭動物生產力、降低勞動強度、改善動物福利和環境合規性。

乳牛和肉牛仍然是主要目標物種，在歐洲、北美和澳洲/紐西蘭的大型商業農場（500頭以上），感測器採用率超過25%。透過在線連續測量牛奶電導率和監測體細胞計數，即時檢測乳腺炎，並結合使用3D加速計進行自動跛行評分，通常可使產奶量提高5-12%，並將非自願淘汰率降低20-40%。基於個體採食量和反芻數據的精準飼料配方，已使飼料轉換率提高了8-15%。

家禽和生豬養殖業對這些技術的應用最為迅速。肉雞舍採用光流和聲學分析系統，透過在數小時內檢測通風和行為異常，使最終體重均勻度提高了3-6個百分點，死亡率降低了10-20%。養豬場則利用攝影機為基礎的體重估算和咳嗽監測，透過早期療育減少了30-50%的抗生素使用量。

軟體平台是成長最快的組成部分。本地部署和雲端解決方案提供統一的儀表板，匯總來自多個感測器供應商的數據；利用機器學習模型提供預測性健康警報（臨床症狀出現前 24-72 小時）；自動授精時間控制；以及動物層面的碳足跡計算。開放 API 框架和基於區塊鏈的可追溯性模組正成為面向歐盟「從農場到餐桌」計畫和美國再生農業計畫的高階供應鏈的標準配置。

環境問題和通用感染疾病威脅正在加速相關技術的應用。畜牧業約佔人為溫室氣體排放的14.5%，歐盟、紐西蘭和部分拉丁美洲國家已強制要求對甲烷和氮排放進行會計處理。 GreenFeed公司的即時腸道發酵監測和穿戴式嗅探器已從研究階段進入商業部署階段，使企業能夠參與排碳權計畫。同時，新冠疫情和非洲豬瘟的經驗提高了人們對生物安全的重視，地理圍欄、虛擬圍欄和自動發熱篩檢系統已成為許多出口型企業的必備條件。

硬體標準化正在快速推進。低功率廣域網路（LPWAN：LoRaWAN、Sigfox、NB-IoT）正逐步取代專有通訊協定，使項圈和胰島素幫浦設備的電池壽命延長至5-10年。 5G園區網路正部署在大型整合農場中，用於超低延遲影片分析，而閘道器上的邊緣運算則可進行早期異常檢測並最大限度地降低資料傳輸成本。

與自動化擠乳系統、飼料推送器和糞漿處理機器人等機器人系統整合，可實現封閉回路型自動化。領先的平台可根據個別警報自動執行機器人操作（分類門、選擇性飼餵、藥物施用），在設備齊全的養殖場可減少 30-50% 的人工成本。

總之，畜牧監測市場已發展成為商業化畜牧生產中不可或缺的數位基礎設施層。能夠融合多感測器資料融合、預測分析和無縫機器人整合，同時提供檢驗的永續性和動物福利結果的系統，將在面臨提高產量、減少環境影響和最大限度減少抗菌藥物使用等多重挑戰的畜牧業中佔據最大價值。規模、互通性和每頭動物的明確投資回報率是目前競爭的關鍵領域。

本報告的主要優勢：

深入分析：取得以客戶群、政府政策和社會經濟因素、消費者偏好、垂直產業和其他細分市場為重點的深入市場洞察，涵蓋主要地區和新興地區。
競爭格局：了解主要企業採取的策略舉措，並了解透過正確的策略打入市場的潛力。
市場促進因素與未來趨勢：探索動態因素和關鍵市場趨勢，以及它們將如何塑造未來的市場發展。
可執行的建議：利用洞察力為策略決策提供訊息，從而在動態環境中開拓新的業務管道和收入來源。
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它是用來做什麼的？

產業與市場洞察、商業機會評估、產品需求預測、打入市場策略、地理擴張、資本投資決策、法律規範及其影響、新產品開發、競爭影響

分析範圍

歷史資料（2021-2025 年）和預測資料（2026-2031 年）
成長機會、挑戰、供應鏈前景、法規結構、客戶行為和趨勢分析
競爭對手定位、策略和市場佔有率分析
按業務板塊和地區（國家）分類的收入成長和預測分析
公司概況（策略、產品、財務資訊、關鍵趨勢等）

Livestock monitoring systems-commonly termed precision livestock farming (PLF)-integrate IoT sensors, computer vision, RFID/NFC ear tags, rumen boluses, wearable collars, and drone-mounted thermal cameras with cloud analytics platforms to deliver continuous, individual-animal data on location, activity, rumination, body temperature, feeding behavior, estrus detection, and early disease indicators. The core value proposition is three-fold: higher productivity per animal, reduced labor intensity, and improved animal welfare and environmental compliance.

Dairy and beef cattle remain the dominant species segment, with sensor penetration now exceeding 25 % in large commercial herds (>500 head) in Europe, North America, and Australia/New Zealand. Real-time mastitis detection via inline milk conductivity and somatic cell monitoring, combined with automated lameness scoring through 3D accelerometry, routinely deliver 5-12 % increases in milk yield and 20-40 % reductions in involuntary culling. Feed-efficiency gains of 8-15 % are achieved through precision ration formulation tied to individual intake and rumination data.

Poultry and swine are the fastest-adopting segments. Broiler houses equipped with optical flow and sound-analysis systems achieve 3-6-point improvements in final body-weight uniformity and 10-20 % reductions in mortality by flagging ventilation or behavioral anomalies within hours. Swine operations use camera-based weight estimation and cough-sound monitoring to cut antibiotic usage by 30-50 % through early intervention.

Software platforms constitute the highest-growth component. On-premises and cloud-based solutions now offer unified dashboards aggregating data from multiple sensor vendors, with machine-learning models for predictive health alerts (24-72 hours pre-clinical), automated fertility timing, and carbon-footprint calculation at animal level. Open API frameworks and blockchain-enabled traceability modules are becoming standard for premium supply chains targeting EU Farm-to-Fork and U.S. regenerative-agriculture programs.

Environmental and zoonotic disease pressures are accelerating adoption. Livestock contribute approximately 14.5 % of anthropogenic GHG emissions, driving regulatory mandates for methane and nitrogen accounting in the EU, New Zealand, and parts of Latin America. Real-time enteric fermentation monitoring via GreenFeed or wearable sniffers is moving from research to commercial deployment, enabling participation in carbon-credit schemes. Simultaneously, post-COVID and African swine fever experiences have heightened biosecurity focus, with geofencing, virtual fencing, and automated fever-screening gateways now mandatory in many export-oriented operations.

Hardware standardization is progressing rapidly. Low-power wide-area networks (LPWAN-LoRaWAN, Sigfox, NB-IoT) have largely replaced proprietary protocols, delivering 5-10-year battery life on collar and bolus devices. Edge computing on gateways now performs initial anomaly detection to minimize data transmission costs, while 5G campus networks are being rolled out on the largest integrated farms for ultra-low-latency video analytics.

Integration with robotic systems-automatic milking, feeding pushers, and slurry robots-is creating closed-loop automation. Leading platforms trigger robotic interventions (drafting gates, selective feeding, medicine balls) based on individual-animal alerts, reducing labor requirements by 30-50 % on fully instrumented sites.

In conclusion, the livestock monitoring market has matured into an essential digital infrastructure layer for commercial animal agriculture. Systems that combine multi-sensor data fusion, predictive analytics, and seamless robotic integration while delivering verifiable sustainability and welfare outcomes will capture the majority of value in an industry under simultaneous pressure to increase output, reduce environmental impact, and minimize antimicrobial usage. Scale, interoperability, and per-animal ROI clarity are now the primary competitive battlegrounds.

Key Benefits of this Report:

Insightful Analysis: Gain detailed market insights covering major as well as emerging geographical regions, focusing on customer segments, government policies and socio-economic factors, consumer preferences, industry verticals, and other sub-segments.
Competitive Landscape: Understand the strategic maneuvers employed by key players globally to understand possible market penetration with the correct strategy.
Market Drivers & Future Trends: Explore the dynamic factors and pivotal market trends and how they will shape future market developments.
Actionable Recommendations: Utilize the insights to exercise strategic decisions to uncover new business streams and revenues in a dynamic environment.
Caters to a Wide Audience: Beneficial and cost-effective for startups, research institutions, consultants, SMEs, and large enterprises.

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Industry and Market Insights, Opportunity Assessment, Product Demand Forecasting, Market Entry Strategy, Geographical Expansion, Capital Investment Decisions, Regulatory Framework & Implications, New Product Development, Competitive Intelligence

Report Coverage:

Historical data from 2021 to 2025 & forecast data from 2026 to 2031
Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, and Trend Analysis
Competitive Positioning, Strategies, and Market Share Analysis
Revenue Growth and Forecast Assessment of segments and regions including countries
Company Profiling (Strategies, Products, Financial Information), and Key Developments among others.

Livestock Monitoring Market Segmentation:

By Products
Hardware
Smart tags
Sensors
Cameras
GPS
Others
Software
On-Premise
Cloud-based
By Animal Types
Cattles
Poultry
Swine
Others
By Geography
North America
USA
Canada
Mexico
South America
Brazil
Argentina
Others
Europe
Germany
France
United Kingdom
Spain
Others
Middle East and Africa
Saudi Arabia
UAE
Others
Asia Pacific
China
India
Japan
South Korea
Indonesia
Thailand
Others

1. EXECUTIVE SUMMARY

2. MARKET SNAPSHOT

2.1. Market Overview
2.2. Market Definition
2.3. Scope of the Study
2.4. Market Segmentation

3. BUSINESS LANDSCAPE

3.1. Market Drivers
3.2. Market Restraints
3.3. Market Opportunities
3.4. Porter's Five Forces Analysis
3.5. Industry Value Chain Analysis
3.6. Policies and Regulations
3.7. Strategic Recommendations

4. TECHNOLOGICAL OUTLOOK

5. LIVESTOCK MONITORING MARKET BY PRODUCTS

5.1. Introduction
5.2. Hardware
- 5.2.1. Smart tags
- 5.2.2. Sensors
- 5.2.3. Cameras
- 5.2.4. GPS
- 5.2.5. Others
5.3. Software
- 5.3.1. On-Premise
- 5.3.2. Cloud-based

6. LIVESTOCK MONITORING MARKET BY ANIMAL TYPES

6.1. Introduction
6.2. Cattles
6.3. Poultry
6.4. Swine
6.5. Others

7. LIVESTOCK MONITORING MARKET BY GEOGRAPHY

7.1. Introduction
7.2. North America
- 7.2.1. USA
- 7.2.2. Canada
- 7.2.3. Mexico
7.3. South America
- 7.3.1. Brazil
- 7.3.2. Argentina
- 7.3.3. Others
7.4. Europe
- 7.4.1. Germany
- 7.4.2. France
- 7.4.3. United Kingdom
- 7.4.4. Spain
- 7.4.5. Others
7.5. Middle East and Africa
- 7.5.1. Saudi Arabia
- 7.5.2. UAE
- 7.5.3. Others
7.6. Asia Pacific
- 7.6.1. China
- 7.6.2. India
- 7.6.3. Japan
- 7.6.4. South Korea
- 7.6.5. Indonesia
- 7.6.6. Thailand
- 7.6.7. Others