낙농 가축군 분석 시장 예측(-2034년) : 구성 요소, 분석 유형, 도입 형태, 농장 규모, 용도, 최종사용자 및 지역별 세계 분석

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