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市场调查报告书
商品编码
1989120

酪农牛分析市场预测至2034年－按组件、分析类型、部署形式、农场规模、应用、最终用户和地区分類的全球分析

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个工作天内

价格

根据 Stratistics MRC 的数据，预计到 2026 年，全球酪农牛分析市场规模将达到 11 亿美元，并在预测期内以 12.8% 的复合年增长率增长，到 2034 年将达到 30 亿美元。

酪农牛分析利用数据采集工具、感测器和软体平台来监测牛的健康状况、繁殖週期、产奶量和整体牛表现。这些解决方案使酪农能够做出数据驱动的决策，进而提高生产力、降低成本并改善动物福利。透过对即时和历史数据分析获得的可操作洞察，这个市场正在将传统的酪农转变为精密农业。

全球对乳製品的需求正在成长。

新兴经济体人口成长和中产阶级消费能力的提升，给酪农带来了越来越大的压力，迫使他们最大限度地提高生产效率。酪农必须在不扩大用地面积的情况下优化牛生产力，这促使他们采用分析解决方案来识别低产量个体并提高单头产量。出口型酪农企业面临激烈的竞争压力，需要精准的管理才能维持获利能力。分析平台能够提供必要的营运洞察，帮助酪农在多样化的生产环境中，既能永续满足不断增长的需求，又能有效管理资源限制。

小规模农场实施成本高昂

由于利润率低、资金筹措来源有限，中小酪农在进行大规模技术投资时面临许多挑战。全面的分析系统需要感测器、软体订阅和网路连接基础设施，这会给他们本来就捉襟见肘的预算带来沉重负担。许多小规模酪农沿用世代相传的传统方法，将科技投资视为不必要的开支，而非提高生产力的工具。这种成本壁垒导致市场分割，先进的分析技术主要集中在大规模商业业者手中。因此，全球酪农产业仍有相当一部分市场未能得到充分的服务，限制了整体市场渗透率。

与物联网和智慧农业生态系统的融合

互联感测器和自动化农业机械的普及为分析平台提供了前所未有的数据采集能力。穿戴式健康监测器、自动挤乳系统和智慧饲餵站持续产生宝贵数据，分析解决方案可将其转化为可执行的建议。农场管理软体的整合能够全面了解动物健康、营养和生产力之间的关联，从而实现对营运的全面理解。这种生态系方法透过提高繁殖率、早期疾病检测和优化整个农场的饲料转换率，展现出清晰的投资报酬率，从而提升了分析的价值提案。

资料安全和农场隐私问题

收集高度敏感的营运数据会引发农民对自身独特生产资讯的担忧，进而造成安全隐患。针对农业企业的网路攻击可能会扰乱关键的食品供应链，或暴露竞争对手的耕作方式。基于云端的分析平台引发了资料所有权方面的疑问，使农民不确定他们的资讯究竟是服务于自身利益，还是服务于技术提供者的更广泛利益。资料外洩会损害农民的信任，并可能大幅降低技术的采用率，尤其是在那些原本就不愿将科技融入现有耕作方式和日常营运的传统企业中。

新型冠状病毒（COVID-19）的影响：

新冠疫情凸显了价值链中的脆弱性，同时也加速了酪农产业的数位转型进程。封锁期间的劳动力短缺促使人们对能够减少劳动力依赖的自动化解决方案产生了浓厚的兴趣。加工和分销管道的中断迫使酪农在不确定性中优化现有营运。在农场访问受限的情况下，远端监控能力被证明至关重要。这些经验永久改变了酪农对技术价值的认知，并在后疫情时代的酪农管理中持续推动分析技术的应用，不仅将其视为提高效率的工具，更将其视为风险管理工具。

在预测期内，说明分析部分预计将占最大份额。

在预测期内，说明分析预计将占据最大的市场份额。此细分市场提供有关牛过往表现和当前营运状况的基本资讯。酪农需要有关牛奶产量趋势、健康问题和繁殖週期的基本报告，以此作为商业决策的依据。这些易于取得的分析报告只需极少的专业技术知识，即可透过改善记录保存和提高绩效可见性，立即创造价值。对于正在从传统方法转型的现有酪农而言，说明分析是一个理想的切入点，这将确保该细分市场在整个预测期内保持其主导地位。

在预测期内，基于云端的细分市场预计将呈现最高的复合年增长率。

在预测期内，基于云端的细分市场预计将呈现最高的成长率，因为它无需大量前期基础设施投资即可提供可扩展的存取。农民可以透过任何连网设备存取即时牛数据，而服务提供者则集中管理软体更新和资料安全。订阅模式对以前被排除在分析工具之外的小规模企业极具吸引力，因为它使技术成本与业务现金流保持一致。云端平台有助于类似企业之间的基准比较以及与外部咨询服务的集成，从而创造超越独立本地部署解决方案的协作价值，并加速向云端采用的转型。

市占率最大的地区：

在整个预测期内，北美预计将保持最大的市场份额，这主要得益于其大规模的商业酪农生产以及早期采用新技术的趋势。该地区的集中式动物养殖场（CAFO）会产生大量数据，需要藉助复杂的分析技术才能有效管理。强大的农业技术基础设施，包括广泛的感测器部署和高速网路连接，为全面分析技术的应用提供了支援。政府支持农业创新的计画以及已建立的兽医伙伴关係将进一步加速技术的应用。总部位于该地区的领先分析服务提供商与其客户保持着密切的联繫，预计在整个预测期内将保持其市场领先地位。

复合年增长率最高的地区：

在预测期内，亚太地区预计将呈现最高的复合年增长率，这主要得益于中国、印度和东南亚酪农的快速现代化。国内对乳製品的需求不断增长，迫使传统小规模农户透过采用科技来提高生产力。政府为促进农业现代化而采取的倡议，为分析技术的应用提供了资金和培训支援。进入该地区的国际乳业公司带来了先进的管理实践，这些实践需要数据驱动的决策支援。此外，产业重组趋势正在催生有能力投资技术的大规模农业企业，使亚太地区成为乳牛群分析市场成长最快的区域市场。

免费客製化服务：

所有购买此报告的客户均可享受以下免费自订选项之一：

  • 企业概况
    • 对其他市场参与者（最多 3 家公司）进行全面分析
    • 对主要企业进行SWOT分析（最多3家公司）
  • 区域细分
    • 根据客户要求，我们可以提供主要国家和地区的市场估算和预测，以及复合年增长率（註：需要进行可行性测试）。
  • 竞争性标竿分析
    • 根据产品系列、地理覆盖范围和策略联盟对主要企业进行基准分析。

目录

第一章：执行摘要

  • 市场概览及主要亮点
  • 驱动因素、挑战与机会
  • 竞争格局概述
  • 战略洞察与建议

第二章：研究框架

  • 研究目标和范围
  • 相关人员分析
  • 研究假设和限制
  • 调查方法

第三章 市场动态与趋势分析

  • 市场定义与结构
  • 主要市场驱动因素
  • 市场限制与挑战
  • 投资成长机会和重点领域
  • 产业威胁与风险评估
  • 技术与创新展望
  • 新兴市场/高成长市场
  • 监管和政策环境
  • 新冠疫情的影响及復苏前景

第四章：竞争环境与策略评估

  • 波特五力分析
    • 供应商的议价能力
    • 买方的议价能力
    • 替代品的威胁
    • 新进入者的威胁
    • 竞争公司之间的竞争
  • 主要企业市占率分析
  • 产品基准评效和效能比较

第五章：全球酪农牛分析市场：依组成部分

  • 软体平台
  • 硬体感测器和设备
  • 服务
    • 咨询
    • 整合与部署
    • 託管分析服务

第六章：全球酪农牛分析市场：依分析类型划分

  • 说明分析
  • 诊断分析
  • 预测分析
  • 指示性分析
  • 即时分析

第七章：全球酪农牛分析市场：依部署模式划分

  • 现场
  • 基于云端的
  • 杂交种

第八章：全球酪农牛分析市场：依农场规模划分

  • 小规模酪农
  • 中型酪农
  • 大型商业酪农
  • 合作酪农

第九章：全球酪农牛分析市场：依应用划分

  • 牛奶生产优化
  • 育种分析
  • 健康与疾病监测
  • 饲餵和营养优化
  • 行为和福利监测
  • 热应力监测
  • 牛生长分析
  • 农场营运效率

第十章：全球酪农牛分析市场：依最终用户划分

  • 酪农
  • 酪农合作社
  • 酪农综合经营者
  • 兽医医疗服务供应商
  • 酪农研究所

第十一章 全球酪农牛分析市场：按地区划分

  • 北美洲
    • 我们
    • 加拿大
    • 墨西哥
  • 欧洲
    • 英国
    • 德国
    • 法国
    • 义大利
    • 西班牙
    • 荷兰
    • 比利时
    • 瑞典
    • 瑞士
    • 波兰
    • 其他欧洲国家
  • 亚太地区
    • 中国
    • 日本
    • 印度
    • 韩国
    • 澳洲
    • 印尼
    • 泰国
    • 马来西亚
    • 新加坡
    • 越南
    • 其他亚太国家
  • 南美洲
    • 巴西
    • 阿根廷
    • 哥伦比亚
    • 智利
    • 秘鲁
    • 其他南美国家
  • 世界其他地区（RoW）
    • 中东
      • 沙乌地阿拉伯
      • 阿拉伯聯合大公国
      • 卡达
      • 以色列
      • 其他中东国家
    • 非洲
      • 南非
      • 埃及
      • 摩洛哥
      • 其他非洲国家

第十二章 策略市场资讯

  • 工业价值网络和供应链评估
  • 空白区域和机会地图
  • 产品演进与市场生命週期分析
  • 通路、经销商和打入市场策略的评估

第十三章 产业趋势与策略倡议

  • 併购
  • 伙伴关係、联盟和合资企业
  • 新产品发布和认证
  • 扩大生产能力和投资
  • 其他策略倡议

第十四章：公司简介

  • 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.