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市場調查報告書
商品編碼
1989120

酪農牛分析市場預測至2034年－按組件、分析類型、部署形式、農場規模、應用、最終用戶和地區分類的全球分析

Dairy Herd Analytics Market Forecasts to 2034 - Global Analysis By Component, Analytics Type, Deployment Mode, Farm Size, Application, End User, and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的數據，預計到 2026 年，全球酪農牛分析市場規模將達到 11 億美元，並在預測期內以 12.8% 的複合年成長率成長，到 2034 年將達到 30 億美元。

酪農牛分析利用數據採集工具、感測器和軟體平台來監測牛的健康狀況、繁殖週期、產奶量和整體牛表現。這些解決方案使酪農能夠做出數據驅動的決策，進而提高生產力、降低成本並改善動物福利。透過對即時和歷史數據分析獲得的可操作洞察，這個市場正在將傳統的酪農轉變為精密農業。

全球對乳製品的需求正在成長。

新興經濟體人口成長和中產階級消費能力的提升，給酪農帶來了越來越大的壓力，迫使他們最大限度地提高生產效率。酪農必須在不擴大用地面積的情況下最佳化牛生產力，這促使他們採用分析解決方案來識別低產量個體並提高單頭產量。出口型酪農企業面臨激烈的競爭壓力，需要精準的管理才能維持獲利能力。分析平台能夠提供必要的營運洞察，幫助酪農在多樣化的生產環境中，既能永續滿足不斷成長的需求，又能有效管理資源限制。

小規模農場實施成本高昂

由於利潤率低、資金籌措來源有限，中小酪農在進行大規模技術投資時面臨許多挑戰。全面的分析系統需要感測器、軟體訂閱和網路連接基礎設施，這會給他們本來就捉襟見肘的預算帶來沉重負擔。許多小規模酪農沿用世代相傳的傳統方法，將科技投資視為不必要的開支，而非提高生產力的工具。這種成本壁壘導致市場分割，先進的分析技術主要集中在大規模商業業者手中。因此，全球酪農產業仍有相當一部分市場未能得到充分的服務，限制了整體市場滲透率。

與物聯網和智慧農業生態系統的融合

互聯感測器和自動化農業機械的普及為分析平台提供了前所未有的數據採集能力。穿戴式健康監測器、自動擠乳系統和智慧飼餵站持續產生寶貴數據，分析解決方案可將其轉化為可執行的建議。農場管理軟體的整合能夠全面了解動物健康、營養和生產力之間的關聯，從而實現對營運的全面理解。這種生態系方法透過提高繁殖率、早期疾病檢測和最佳化整個農場的飼料轉換率，展現出清晰的投資報酬率，從而提升了分析的價值提案。

資料安全和農場隱私問題

收集高度敏感的營運數據會引發農民對自身獨特生產資訊的擔憂，進而造成安全隱患。針對農業企業的網路攻擊可能會擾亂關鍵的食品供應鏈，或暴露競爭對手的耕作方式。基於雲端的分析平台引發了資料所有權方面的疑問，使農民不確定他們的資訊究竟是服務於自身利益，還是服務於技術提供者的更廣泛利益。資料外洩會損害農民的信任，並可能大幅降低技術的採用率，尤其是在那些原本就不願將科技融入現有耕作方式和日常營運的傳統企業中。

新型冠狀病毒（COVID-19）的影響：

新冠疫情凸顯了價值鏈中的脆弱性，同時也加速了酪農產業的數位轉型進程。封鎖期間的勞動力短缺促使人們對能夠減少勞動力依賴的自動化解決方案產生了濃厚的興趣。加工和分銷管道的中斷迫使酪農在不確定性中最佳化現有營運。在農場訪問受限的情況下，遠端監控能力被證明至關重要。這些經驗永久改變了酪農對技術價值的認知，並在後疫情時代的酪農管理中持續推動分析技術的應用，不僅將其視為提高效率的工具，更將其視為風險管理工具。

在預測期內，說明分析部分預計將佔最大佔有率。

在預測期內，說明分析預計將佔據最大的市場佔有率。此細分市場提供有關牛過往表現和當前營運狀況的基本資訊。酪農需要有關牛奶產量趨勢、健康問題和繁殖週期的基本報告，以此作為商業決策的依據。這些易於取得的分析報告只需極少的專業技術知識，即可透過改善記錄保存和提高績效可見性，立即創造價值。對於正在從傳統方法轉型的現有酪農而言，說明分析是一個理想的切入點，這將確保該細分市場在整個預測期內保持其主導地位。

在預測期內，基於雲端的細分市場預計將呈現最高的複合年成長率。

在預測期內，基於雲端的細分市場預計將呈現最高的成長率，因為它無需大量前期基礎設施投資即可提供可擴展的存取。農民可以透過任何連網設備存取即時牛數據，而服務提供者則集中管理軟體更新和資料安全。訂閱模式對以前被排除在分析工具之外的小規模企業極具吸引力，因為它使技術成本與業務現金流保持一致。雲端平台有助於類似企業之間的基準比較以及與外部諮詢服務的整合，從而創造超越獨立本地部署解決方案的協作價值，並加速向雲端採用的轉型。

市佔率最大的地區：

在整個預測期內，北美預計將保持最大的市場佔有率，這主要得益於其大規模的商業酪農生產以及早期採用新技術的趨勢。該地區的集中式動物養殖場（CAFO）會產生大量數據，需要藉助複雜的分析技術才能有效管理。強大的農業技術基礎設施，包括廣泛的感測器部署和高速網路連接，為全面分析技術的應用提供了支援。政府支持農業創新的計畫以及已建立的獸醫夥伴關係將進一步加速技術的應用。總部位於該地區的領先分析服務提供商與其客戶保持著密切的聯繫，預計在整個預測期內將保持其市場領先地位。

複合年成長率最高的地區：

在預測期內，亞太地區預計將呈現最高的複合年成長率，這主要得益於中國、印度和東南亞酪農的快速現代化。國內對乳製品的需求不斷成長，迫使傳統小規模農戶透過採用科技來提高生產力。政府為促進農業現代化而採取的舉措，為分析技術的應用提供了資金和培訓支援。進入該地區的國際乳業公司帶來了先進的管理實踐，這些實踐需要數據驅動的決策支援。此外，產業重組趨勢正在催生有能力投資技術的大規模農業企業，使亞太地區成為乳牛群分析市場成長最快的區域市場。

免費客製化服務：

所有購買此報告的客戶均可享受以下免費自訂選項之一：

  • 企業概況
    • 對其他市場參與者（最多 3 家公司）進行全面分析
    • 對主要企業進行SWOT分析（最多3家公司）
  • 區域細分
    • 根據客戶要求，我們可以提供主要國家和地區的市場估算和預測，以及複合年成長率（註：需要進行可行性測試）。
  • 競爭性標竿分析
    • 根據產品系列、地理覆蓋範圍和策略聯盟對主要企業進行基準分析。

目錄

第1章：執行摘要

  • 市場概覽及主要亮點
  • 促進因素、挑戰與機遇
  • 競爭格局概述
  • 戰略洞察與建議

第2章：研究框架

  • 研究目標和範圍
  • 相關人員分析
  • 研究假設和限制
  • 調查方法

第3章 市場動態與趨勢分析

  • 市場定義與結構
  • 主要市場促進因素
  • 市場限制與挑戰
  • 投資成長機會和重點領域
  • 產業威脅與風險評估
  • 技術與創新展望
  • 新興市場/高成長市場
  • 監管和政策環境
  • 新冠疫情的影響及復甦前景

第4章：競爭環境與策略評估

  • 波特五力分析
    • 供應商的議價能力
    • 買方的議價能力
    • 替代品的威脅
    • 新進入者的威脅
    • 競爭公司之間的競爭
  • 主要企業市佔率分析
  • 產品基準評效和效能比較

第5章：全球酪農牛分析市場：依組成部分

  • 軟體平台
  • 硬體感測器和設備
  • 服務
    • 諮詢
    • 整合與部署
    • 託管分析服務

第6章：全球酪農牛分析市場：依分析類型分類

  • 說明分析
  • 診斷分析
  • 預測分析
  • 指示性分析
  • 即時分析

第7章：全球酪農牛分析市場：依部署模式分類

  • 現場
  • 基於雲端的
  • 混合

第8章：全球酪農牛分析市場：依農場規模分類

  • 小規模酪農
  • 中型酪農
  • 大型商業酪農
  • 合作酪農

第9章：全球酪農牛分析市場：依應用分類

  • 牛奶生產最佳化
  • 育種分析
  • 健康與疾病監測
  • 飼餵和營養最佳化
  • 行為和福利監測
  • 熱應力監測
  • 牛生長分析
  • 農場營運效率

第10章：全球酪農牛分析市場：依最終用戶分類

  • 酪農
  • 酪農合作社
  • 酪農綜合經營者
  • 獸醫醫療服務供應商
  • 酪農研究所

第11章 全球酪農牛分析市場：按地區分類

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 義大利
    • 西班牙
    • 荷蘭
    • 比利時
    • 瑞典
    • 瑞士
    • 波蘭
    • 其他歐洲國家
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 韓國
    • 澳洲
    • 印尼
    • 泰國
    • 馬來西亞
    • 新加坡
    • 越南
    • 其他亞太國家
  • 南美洲
    • 巴西
    • 阿根廷
    • 哥倫比亞
    • 智利
    • 秘魯
    • 其他南美國家
  • 世界其他地區（RoW）
    • 中東
      • 沙烏地阿拉伯
      • 阿拉伯聯合大公國
      • 卡達
      • 以色列
      • 其他中東國家
    • 非洲
      • 南非
      • 埃及
      • 摩洛哥
      • 其他非洲國家

第12章 策略市場資訊

  • 工業價值網路和供應鏈評估
  • 空白區域和機會地圖
  • 產品演進與市場生命週期分析
  • 通路、經銷商和打入市場策略的評估

第13章 產業趨勢與策略舉措

  • 併購
  • 夥伴關係、聯盟和合資企業
  • 新產品發布和認證
  • 擴大生產能力和投資
  • 其他策略舉措

第14章：公司簡介

  • GEA Group Aktiengesellschaft
  • DeLaval International AB
  • Afimilk Ltd.
  • Lely Holding SARL
  • BouMatic LLC
  • Nedap NV
  • Dairymaster
  • Fullwood Packo Ltd.
  • Merck & Co., Inc.
  • Valley Agricultural Software
  • SCR Dairy, Inc.
  • Sum-It Computer Systems Ltd.
  • Infovet
  • UNIFORM-Agri
  • Farmlogics Technologies
Product Code: SMRC34409

According to Stratistics MRC, the Global Dairy Herd Analytics Market is accounted for $1.1 billion in 2026 and is expected to reach $3.0 billion by 2034 growing at a CAGR of 12.8% during the forecast period. Dairy herd analytics involves the use of data collection tools, sensors, and software platforms to monitor cow health, reproduction cycles, milk production, and overall herd performance. These solutions enable dairy farmers to make data-driven decisions that improve productivity, reduce costs, and enhance animal welfare. The market is transforming traditional dairy farming into precision agriculture through actionable insights derived from real-time and historical data analysis.

Market Dynamics:

Driver:

Increasing global demand for dairy products

Rising population growth and expanding middle-class consumption in emerging economies are intensifying pressure on dairy producers to maximize output efficiency. Farmers must optimize herd productivity without expanding physical footprint, driving adoption of analytics solutions that identify underperforming animals and improve yield per cow. Export-oriented dairy operations face competitive pressures requiring precision management to maintain margins. Analytics platforms provide the operational intelligence necessary to meet growing demand sustainably while managing resource constraints effectively across diverse production environments.

Restraint:

High implementation costs for small farms

Small and medium dairy operations struggle to justify significant technology investments given tight profit margins and limited capital access. Comprehensive analytics systems require sensors, software subscriptions, and connectivity infrastructure that strain limited budgets. Many smallholders operate with traditional practices passed through generations, viewing technology investments as unnecessary expenses rather than productivity tools. This cost barrier creates market segmentation where advanced analytics adoption concentrates among large commercial operations, leaving substantial portions of the global dairy industry underserved and limiting overall market penetration.

Opportunity:

Integration with IoT and smart farming ecosystems

Proliferation of connected sensors and automated farm equipment creates unprecedented data collection capabilities for analytics platforms. Wearable health monitors, automated milking systems, and smart feeding stations continuously generate valuable data that analytics solutions transform into actionable recommendations. Integration across farm management software enables holistic operational views connecting animal health, nutrition, and production outcomes. This ecosystem approach increases analytics value proposition by demonstrating clear ROI through improved reproduction rates, early disease detection, and optimized feed conversion ratios across entire farming operations.

Threat:

Data security and farm privacy concerns

Collection of sensitive operational data creates vulnerability concerns among farmers protective of proprietary production information. Cyberattacks targeting agricultural operations could disrupt critical food supply chains or expose competitive farming practices. Cloud-based analytics platforms raise questions about data ownership, with farmers uncertain whether their information benefits them or serves technology providers' broader interests. Breaches eroding farmer trust could slow adoption rates significantly, particularly among traditional operations already hesitant about technology integration into established farming practices and routines.

Covid-19 Impact:

The COVID-19 pandemic highlighted supply chain vulnerabilities while accelerating dairy industry digital transformation efforts. Labor shortages during lockdown periods intensified interest in automated solutions reducing workforce dependence. Disrupted processing and distribution channels forced farmers to optimize existing operations amid uncertainty. Remote monitoring capabilities proved essential when on-farm visits were restricted. These experiences permanently shifted farmer perspectives on technology value, creating sustained momentum for analytics adoption as risk management tools rather than merely efficiency enhancements in post-pandemic dairy operations.

The Descriptive Analytics segment is expected to be the largest during the forecast period

The Descriptive Analytics segment is expected to account for the largest market share during the forecast period, providing fundamental insights into historical herd performance and current operational status. Farmers require basic reporting on milk production trends, health incidents, and reproduction cycles as foundation for management decisions. These accessible analytics require minimal technical expertise while delivering immediate value through improved record-keeping and performance visualization. Established dairy operations transitioning from traditional methods find descriptive analytics the natural entry point, ensuring this segment maintains dominance throughout the forecast timeline.

The Cloud-Based segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the Cloud-Based segment is predicted to witness the highest growth rate, offering scalable accessibility without substantial upfront infrastructure investment. Farmers access real-time herd data through any connected device while providers manage software updates and data security centrally. Subscription models align technology costs with operational cash flows, appealing to smaller operations previously excluded from analytics adoption. Cloud platforms facilitate benchmarking across similar operations and integration with external advisory services, creating collaborative value exceeding standalone on-premise solutions and driving accelerated migration to cloud deployment.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, supported by large-scale commercial dairy operations and early technology adoption patterns. The region's concentrated animal feeding operations generate substantial data volumes requiring sophisticated analytics for effective management. Strong agricultural technology infrastructure, including widespread sensor deployment and high-speed connectivity, enables comprehensive analytics implementation. Government programs supporting agricultural innovation and established veterinary partnerships further accelerate adoption. Major analytics providers headquartered in the region maintain close customer relationships, ensuring continued market leadership throughout the forecast period.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, driven by rapidly modernizing dairy sectors across China, India, and Southeast Asia. Growing domestic demand for milk products pressures traditional smallholder operations to improve productivity through technology adoption. Government initiatives promoting agricultural modernization provide funding and training support for analytics implementation. International dairy companies expanding in the region bring advanced management practices requiring data-driven decision support. As consolidation trends create larger farming operations capable of technology investment, Asia Pacific emerges as the fastest-growing regional market for dairy herd analytics.

Key players in the market

Some of the key players in Dairy Herd Analytics Market include GEA Group Aktiengesellschaft, DeLaval International AB, Afimilk Ltd., Lely Holding S.A.R.L., BouMatic LLC, Nedap N.V., Dairymaster, Fullwood Packo Ltd., Merck & Co., Inc., Valley Agricultural Software, SCR Dairy, Inc., Sum-It Computer Systems Ltd., Infovet, UNIFORM-Agri, and Farmlogics Technologies.

Key Developments:

In January 2026, BouMatic emphasized its Xcalibur 360EX 2.0 external rotary system and "SmartLite" detachers as key components of its 2026 automation suite, focusing on "gently, quickly, and completely" milking philosophies.

In December 2025, Lely officially partnered with Dutch scale-up Grassa to invest in grass processing technology. The collaboration aims to extract high-quality proteins from grass juice for animal feed, optimizing the nutritional value of on-farm resources.

In May 2025, DeLaval launched the BioSensors Milk Cell Analysis (MCA), a groundbreaking sensor that uses advanced optical technology to count somatic cells in real-time. It integrates directly with the VMS V300 milking robots to detect subclinical mastitis before visible symptoms appear.

Components Covered:

  • Software Platforms
  • Hardware Sensors & Devices
  • Services

Analytics Types Covered:

  • Descriptive Analytics
  • Diagnostic Analytics
  • Predictive Analytics
  • Prescriptive Analytics
  • Real-Time Analytics

Deployment Modes Covered:

  • On-Premise
  • Cloud-Based
  • Hybrid

Farm Sizes Covered:

  • Small-Scale Dairy Farms
  • Mid-Sized Dairy Farms
  • Large Commercial Dairy Farms
  • Cooperative Dairy Farms

Applications Covered:

  • Milk Yield Optimization
  • Reproductive Analytics
  • Health & Disease Monitoring
  • Feeding & Nutrition Optimization
  • Behavior & Welfare Monitoring
  • Heat Stress Monitoring
  • Calf Growth Analytics
  • Farm Operational Efficiency

End Users Covered:

  • Dairy Farms
  • Dairy Cooperatives
  • Dairy Integrators
  • Veterinary Service Providers
  • Dairy Research Institutes

Regions Covered:

  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • United Kingdom
    • Germany
    • France
    • Italy
    • Spain
    • Netherlands
    • Belgium
    • Sweden
    • Switzerland
    • Poland
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Indonesia
    • Thailand
    • Malaysia
    • Singapore
    • Vietnam
    • Rest of Asia Pacific
  • South America
    • Brazil
    • Argentina
    • Colombia
    • Chile
    • Peru
    • Rest of South America
  • Rest of the World (RoW)
    • Middle East
  • Saudi Arabia
  • United Arab Emirates
  • Qatar
  • Israel
  • Rest of Middle East
    • Africa
  • South Africa
  • Egypt
  • Morocco
  • Rest of Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2023, 2024, 2025, 2026, 2027, 2028, 2030, 2032 and 2034
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

  • 1.1 Market Snapshot and Key Highlights
  • 1.2 Growth Drivers, Challenges, and Opportunities
  • 1.3 Competitive Landscape Overview
  • 1.4 Strategic Insights and Recommendations

2 Research Framework

  • 2.1 Study Objectives and Scope
  • 2.2 Stakeholder Analysis
  • 2.3 Research Assumptions and Limitations
  • 2.4 Research Methodology
    • 2.4.1 Data Collection (Primary and Secondary)
    • 2.4.2 Data Modeling and Estimation Techniques
    • 2.4.3 Data Validation and Triangulation
    • 2.4.4 Analytical and Forecasting Approach

3 Market Dynamics and Trend Analysis

  • 3.1 Market Definition and Structure
  • 3.2 Key Market Drivers
  • 3.3 Market Restraints and Challenges
  • 3.4 Growth Opportunities and Investment Hotspots
  • 3.5 Industry Threats and Risk Assessment
  • 3.6 Technology and Innovation Landscape
  • 3.7 Emerging and High-Growth Markets
  • 3.8 Regulatory and Policy Environment
  • 3.9 Impact of COVID-19 and Recovery Outlook

4 Competitive and Strategic Assessment

  • 4.1 Porter's Five Forces Analysis
    • 4.1.1 Supplier Bargaining Power
    • 4.1.2 Buyer Bargaining Power
    • 4.1.3 Threat of Substitutes
    • 4.1.4 Threat of New Entrants
    • 4.1.5 Competitive Rivalry
  • 4.2 Market Share Analysis of Key Players
  • 4.3 Product Benchmarking and Performance Comparison

5 Global Dairy Herd Analytics Market, By Component

  • 5.1 Software Platforms
  • 5.2 Hardware Sensors & Devices
  • 5.3 Services
    • 5.3.1 Consulting
    • 5.3.2 Integration & Deployment
    • 5.3.3 Managed Analytics Services

6 Global Dairy Herd Analytics Market, By Analytics Type

  • 6.1 Descriptive Analytics
  • 6.2 Diagnostic Analytics
  • 6.3 Predictive Analytics
  • 6.4 Prescriptive Analytics
  • 6.5 Real-Time Analytics

7 Global Dairy Herd Analytics Market, By Deployment Mode

  • 7.1 On-Premise
  • 7.2 Cloud-Based
  • 7.3 Hybrid

8 Global Dairy Herd Analytics Market, By Farm Size

  • 8.1 Small-Scale Dairy Farms
  • 8.2 Mid-Sized Dairy Farms
  • 8.3 Large Commercial Dairy Farms
  • 8.4 Cooperative Dairy Farms

9 Global Dairy Herd Analytics Market, By Application

  • 9.1 Milk Yield Optimization
  • 9.2 Reproductive Analytics
  • 9.3 Health & Disease Monitoring
  • 9.4 Feeding & Nutrition Optimization
  • 9.5 Behavior & Welfare Monitoring
  • 9.6 Heat Stress Monitoring
  • 9.7 Calf Growth Analytics
  • 9.8 Farm Operational Efficiency

10 Global Dairy Herd Analytics Market, By End User

  • 10.1 Dairy Farms
  • 10.2 Dairy Cooperatives
  • 10.3 Dairy Integrators
  • 10.4 Veterinary Service Providers
  • 10.5 Dairy Research Institutes

11 Global Dairy Herd Analytics Market, By Geography

  • 11.1 North America
    • 11.1.1 United States
    • 11.1.2 Canada
    • 11.1.3 Mexico
  • 11.2 Europe
    • 11.2.1 United Kingdom
    • 11.2.2 Germany
    • 11.2.3 France
    • 11.2.4 Italy
    • 11.2.5 Spain
    • 11.2.6 Netherlands
    • 11.2.7 Belgium
    • 11.2.8 Sweden
    • 11.2.9 Switzerland
    • 11.2.10 Poland
    • 11.2.11 Rest of Europe
  • 11.3 Asia Pacific
    • 11.3.1 China
    • 11.3.2 Japan
    • 11.3.3 India
    • 11.3.4 South Korea
    • 11.3.5 Australia
    • 11.3.6 Indonesia
    • 11.3.7 Thailand
    • 11.3.8 Malaysia
    • 11.3.9 Singapore
    • 11.3.10 Vietnam
    • 11.3.11 Rest of Asia Pacific
  • 11.4 South America
    • 11.4.1 Brazil
    • 11.4.2 Argentina
    • 11.4.3 Colombia
    • 11.4.4 Chile
    • 11.4.5 Peru
    • 11.4.6 Rest of South America
  • 11.5 Rest of the World (RoW)
    • 11.5.1 Middle East
      • 11.5.1.1 Saudi Arabia
      • 11.5.1.2 United Arab Emirates
      • 11.5.1.3 Qatar
      • 11.5.1.4 Israel
      • 11.5.1.5 Rest of Middle East
    • 11.5.2 Africa
      • 11.5.2.1 South Africa
      • 11.5.2.2 Egypt
      • 11.5.2.3 Morocco
      • 11.5.2.4 Rest of Africa

12 Strategic Market Intelligence

  • 12.1 Industry Value Network and Supply Chain Assessment
  • 12.2 White-Space and Opportunity Mapping
  • 12.3 Product Evolution and Market Life Cycle Analysis
  • 12.4 Channel, Distributor, and Go-to-Market Assessment

13 Industry Developments and Strategic Initiatives

  • 13.1 Mergers and Acquisitions
  • 13.2 Partnerships, Alliances, and Joint Ventures
  • 13.3 New Product Launches and Certifications
  • 13.4 Capacity Expansion and Investments
  • 13.5 Other Strategic Initiatives

14 Company Profiles

  • 14.1 GEA Group Aktiengesellschaft
  • 14.2 DeLaval International AB
  • 14.3 Afimilk Ltd.
  • 14.4 Lely Holding S.A.R.L.
  • 14.5 BouMatic LLC
  • 14.6 Nedap N.V.
  • 14.7 Dairymaster
  • 14.8 Fullwood Packo Ltd.
  • 14.9 Merck & Co., Inc.
  • 14.10 Valley Agricultural Software
  • 14.11 SCR Dairy, Inc.
  • 14.12 Sum-It Computer Systems Ltd.
  • 14.13 Infovet
  • 14.14 UNIFORM-Agri
  • 14.15 Farmlogics Technologies

List of Tables

  • Table 1 Global Dairy Herd Analytics Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global Dairy Herd Analytics Market Outlook, By Component (2023-2034) ($MN)
  • Table 3 Global Dairy Herd Analytics Market Outlook, By Software Platforms (2023-2034) ($MN)
  • Table 4 Global Dairy Herd Analytics Market Outlook, By Hardware Sensors & Devices (2023-2034) ($MN)
  • Table 5 Global Dairy Herd Analytics Market Outlook, By Services (2023-2034) ($MN)
  • Table 6 Global Dairy Herd Analytics Market Outlook, By Consulting (2023-2034) ($MN)
  • Table 7 Global Dairy Herd Analytics Market Outlook, By Integration & Deployment (2023-2034) ($MN)
  • Table 8 Global Dairy Herd Analytics Market Outlook, By Managed Analytics Services (2023-2034) ($MN)
  • Table 9 Global Dairy Herd Analytics Market Outlook, By Analytics Type (2023-2034) ($MN)
  • Table 10 Global Dairy Herd Analytics Market Outlook, By Descriptive Analytics (2023-2034) ($MN)
  • Table 11 Global Dairy Herd Analytics Market Outlook, By Diagnostic Analytics (2023-2034) ($MN)
  • Table 12 Global Dairy Herd Analytics Market Outlook, By Predictive Analytics (2023-2034) ($MN)
  • Table 13 Global Dairy Herd Analytics Market Outlook, By Prescriptive Analytics (2023-2034) ($MN)
  • Table 14 Global Dairy Herd Analytics Market Outlook, By Real-Time Analytics (2023-2034) ($MN)
  • Table 15 Global Dairy Herd Analytics Market Outlook, By Deployment Mode (2023-2034) ($MN)
  • Table 16 Global Dairy Herd Analytics Market Outlook, By On-Premise (2023-2034) ($MN)
  • Table 17 Global Dairy Herd Analytics Market Outlook, By Cloud-Based (2023-2034) ($MN)
  • Table 18 Global Dairy Herd Analytics Market Outlook, By Hybrid (2023-2034) ($MN)
  • Table 19 Global Dairy Herd Analytics Market Outlook, By Farm Size (2023-2034) ($MN)
  • Table 20 Global Dairy Herd Analytics Market Outlook, By Small-Scale Dairy Farms (2023-2034) ($MN)
  • Table 21 Global Dairy Herd Analytics Market Outlook, By Mid-Sized Dairy Farms (2023-2034) ($MN)
  • Table 22 Global Dairy Herd Analytics Market Outlook, By Large Commercial Dairy Farms (2023-2034) ($MN)
  • Table 23 Global Dairy Herd Analytics Market Outlook, By Cooperative Dairy Farms (2023-2034) ($MN)
  • Table 24 Global Dairy Herd Analytics Market Outlook, By Application (2023-2034) ($MN)
  • Table 25 Global Dairy Herd Analytics Market Outlook, By Milk Yield Optimization (2023-2034) ($MN)
  • Table 26 Global Dairy Herd Analytics Market Outlook, By Reproductive Analytics (2023-2034) ($MN)
  • Table 27 Global Dairy Herd Analytics Market Outlook, By Health & Disease Monitoring (2023-2034) ($MN)
  • Table 28 Global Dairy Herd Analytics Market Outlook, By Feeding & Nutrition Optimization (2023-2034) ($MN)
  • Table 29 Global Dairy Herd Analytics Market Outlook, By Behavior & Welfare Monitoring (2023-2034) ($MN)
  • Table 30 Global Dairy Herd Analytics Market Outlook, By Heat Stress Monitoring (2023-2034) ($MN)
  • Table 31 Global Dairy Herd Analytics Market Outlook, By Calf Growth Analytics (2023-2034) ($MN)
  • Table 32 Global Dairy Herd Analytics Market Outlook, By Farm Operational Efficiency (2023-2034) ($MN)
  • Table 33 Global Dairy Herd Analytics Market Outlook, By End User (2023-2034) ($MN)
  • Table 34 Global Dairy Herd Analytics Market Outlook, By Dairy Farms (2023-2034) ($MN)
  • Table 35 Global Dairy Herd Analytics Market Outlook, By Dairy Cooperatives (2023-2034) ($MN)
  • Table 36 Global Dairy Herd Analytics Market Outlook, By Dairy Integrators (2023-2034) ($MN)
  • Table 37 Global Dairy Herd Analytics Market Outlook, By Veterinary Service Providers (2023-2034) ($MN)
  • Table 38 Global Dairy Herd Analytics Market Outlook, By Dairy Research Institutes (2023-2034) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Rest of the World (RoW) Regions are also represented in the same manner as above.