Global Smart Cattle Market

Smart Cattle Comprehensive Study by Type (Heat Sensors, Temperature Sensors, Motion Sensor, Base Stations, Others), Application (Milk Harvesting Management, Breeding Management, Feeding Management, Heat Stress Management, Animal Comfort Management, Behavior Monitoring & Control, Others), Farm Size (Small, Medium, Large) Players and Region - Global Market Outlook to 2026

Smart Cattle Market by XX Submarkets | Forecast Years 2022-2027  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
Smart Cattle Market Scope
Smart cattle are cattle that have sensors attached to them that collect data and analyse whether they are sick, lost, stuck, or dead. Several sensors are included in this technology, including a GPS for position monitoring, an accelerometer for disease detection, and a temperature sensor to decide whether the cattle are alive or dead. Herds can now be linked to the cloud using smart cattle and drones as mobile base stations, which can also deliver information through pictures.The market acceptance of smart cattle is being driven by rising demand for dairy food products, limited farmland supply, and a declining dairy and beef industry. The industry has seen a high adoption of connected technologies for business advantage, as well as investments in research and development and infrastructure. To protect framers from livestock losses, market vendors are developing smart pills, wireless sensors, and new location technologies.Smart cattle have sensors that can detect whether or not a cow is dead, which is important because dead cattle can transmit disease to other animals.

The Smart Cattle market study is segmented by Type (Heat Sensors, Temperature Sensors, Motion Sensor, Base Stations and Others), by Application (Milk Harvesting Management, Breeding Management, Feeding Management, Heat Stress Management, Animal Comfort Management, Behavior Monitoring & Control and Others) and major geographies with country level break-up.

The companies are exploring the market by adopting mergers & acquisitions, expansions, investments, new service launches and collaborations as their preferred strategies. The players are exploring new geographies through expansions and acquisitions to avail a competitive advantage through combined synergies. Research Analyst at AMA estimates that United States Players will contribute to the maximum growth of Global Smart Cattle market throughout the predicted period.

GEA Farm Technologies (Germany), DeLaval (Sweden), Afimilk Ltd. (Israel), BouMatic, LLC (United States), Merck Animal Health (United States), Dairymaster Ltd. (Ireland), Lely International NV (Netherlands), Fancom BV (Netherlands), Fullwood Packo Ltd. (United Kingdom), Nedap NV (Netherlands) and BT Group (United Kingdom) are some of the key players that are part of study coverage.

About Approach
The research aims to propose a patent-based approach in searching for potential technology partners as a supporting tool for enabling open innovation. The study also proposes a systematic searching process of technology partners as a
preliminary step to select the emerging and key players that are involved in implementing market estimations. While patent analysis is employed to overcome the aforementioned data- and process-related limitations, as expenses occurred in that technology allows us to estimate the market size by evolving segments as target market from total available market.

Segmentation Overview
AMA Research has segmented the market of Global Smart Cattle market by Type, Application and Region.

On the basis of geography, the market of Smart Cattle has been segmented into South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, Taiwan, Australia, Rest of Asia-Pacific), Europe (Germany, France, Italy, United Kingdom, Netherlands, Rest of Europe), MEA (Middle East, Africa), North America (United States, Canada, Mexico).

Market Leaders and their expansionary development strategies
In August 2020, Merck Animal Health, a division of Merck & Co., announced the completion of its acquisition of IdentiGEN Ltd. (Ireland), a leader in DNA-based animal traceability solutions for Livestock and Aquaculture, to enhance its livestock solutions business.



Market Trend
  • Growing Focus on Integration of Smartphones with Agricultural Hardware and Software Applications

Market Drivers
  • Helps Farmers to Bring Efficiency in Their Agriculture Business
  • Rising pressure on Supply System Owing to Rapidly Growing Population

Opportunities
  • Rising Adoption of Solutions in Developing Countries

Restraints
  • High Cost of Investment in New Technology

Challenges
  • Complicated End User Requirements


Key Target Audience
Software Providers, Technology Providers, End-Users, Governmental Bodies and Others

Report Objectives / Segmentation Covered

By Type
  • Heat Sensors
  • Temperature Sensors
  • Motion Sensor
  • Base Stations
  • Others
By Application
  • Milk Harvesting Management
  • Breeding Management
  • Feeding Management
  • Heat Stress Management
  • Animal Comfort Management
  • Behavior Monitoring & Control
  • Others
By Farm Size
  • Small
  • Medium
  • Large

By Regions
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Taiwan
    • Australia
    • Rest of Asia-Pacific
  • Europe
    • Germany
    • France
    • Italy
    • United Kingdom
    • Netherlands
    • Rest of Europe
  • MEA
    • Middle East
    • Africa
  • North America
    • United States
    • Canada
    • Mexico
  • 1. Market Overview
    • 1.1. Introduction
    • 1.2. Scope/Objective of the Study
      • 1.2.1. Research Objective
  • 2. Executive Summary
    • 2.1. Introduction
  • 3. Market Dynamics
    • 3.1. Introduction
    • 3.2. Market Drivers
      • 3.2.1. Helps Farmers to Bring Efficiency in Their Agriculture Business
      • 3.2.2. Rising pressure on Supply System Owing to Rapidly Growing Population
    • 3.3. Market Challenges
      • 3.3.1. Complicated End User Requirements
    • 3.4. Market Trends
      • 3.4.1. Growing Focus on Integration of Smartphones with Agricultural Hardware and Software Applications
  • 4. Market Factor Analysis
    • 4.1. Porters Five Forces
    • 4.2. Supply/Value Chain
    • 4.3. PESTEL analysis
    • 4.4. Market Entropy
    • 4.5. Patent/Trademark Analysis
  • 5. Global Smart Cattle, by Type, Application, Farm Size and Region (value) (2015-2020)
    • 5.1. Introduction
    • 5.2. Global Smart Cattle (Value)
      • 5.2.1. Global Smart Cattle by: Type (Value)
        • 5.2.1.1. Heat Sensors
        • 5.2.1.2. Temperature Sensors
        • 5.2.1.3. Motion Sensor
        • 5.2.1.4. Base Stations
        • 5.2.1.5. Others
      • 5.2.2. Global Smart Cattle by: Application (Value)
        • 5.2.2.1. Milk Harvesting Management
        • 5.2.2.2. Breeding Management
        • 5.2.2.3. Feeding Management
        • 5.2.2.4. Heat Stress Management
        • 5.2.2.5. Animal Comfort Management
        • 5.2.2.6. Behavior Monitoring & Control
        • 5.2.2.7. Others
      • 5.2.3. Global Smart Cattle by: Farm Size (Value)
        • 5.2.3.1. Small
        • 5.2.3.2. Medium
        • 5.2.3.3. Large
      • 5.2.4. Global Smart Cattle Region
        • 5.2.4.1. South America
          • 5.2.4.1.1. Brazil
          • 5.2.4.1.2. Argentina
          • 5.2.4.1.3. Rest of South America
        • 5.2.4.2. Asia Pacific
          • 5.2.4.2.1. China
          • 5.2.4.2.2. Japan
          • 5.2.4.2.3. India
          • 5.2.4.2.4. South Korea
          • 5.2.4.2.5. Taiwan
          • 5.2.4.2.6. Australia
          • 5.2.4.2.7. Rest of Asia-Pacific
        • 5.2.4.3. Europe
          • 5.2.4.3.1. Germany
          • 5.2.4.3.2. France
          • 5.2.4.3.3. Italy
          • 5.2.4.3.4. United Kingdom
          • 5.2.4.3.5. Netherlands
          • 5.2.4.3.6. Rest of Europe
        • 5.2.4.4. MEA
          • 5.2.4.4.1. Middle East
          • 5.2.4.4.2. Africa
        • 5.2.4.5. North America
          • 5.2.4.5.1. United States
          • 5.2.4.5.2. Canada
          • 5.2.4.5.3. Mexico
  • 6. Smart Cattle: Manufacturers/Players Analysis
    • 6.1. Competitive Landscape
      • 6.1.1. Market Share Analysis
        • 6.1.1.1. Top 3
        • 6.1.1.2. Top 5
    • 6.2. Peer Group Analysis (2020)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. GEA Farm Technologies (Germany)
        • 6.4.1.1. Business Overview
        • 6.4.1.2. Products/Services Offerings
        • 6.4.1.3. Financial Analysis
        • 6.4.1.4. SWOT Analysis
      • 6.4.2. DeLaval (Sweden)
        • 6.4.2.1. Business Overview
        • 6.4.2.2. Products/Services Offerings
        • 6.4.2.3. Financial Analysis
        • 6.4.2.4. SWOT Analysis
      • 6.4.3. Afimilk Ltd. (Israel)
        • 6.4.3.1. Business Overview
        • 6.4.3.2. Products/Services Offerings
        • 6.4.3.3. Financial Analysis
        • 6.4.3.4. SWOT Analysis
      • 6.4.4. BouMatic, LLC (United States)
        • 6.4.4.1. Business Overview
        • 6.4.4.2. Products/Services Offerings
        • 6.4.4.3. Financial Analysis
        • 6.4.4.4. SWOT Analysis
      • 6.4.5. Merck Animal Health (United States)
        • 6.4.5.1. Business Overview
        • 6.4.5.2. Products/Services Offerings
        • 6.4.5.3. Financial Analysis
        • 6.4.5.4. SWOT Analysis
      • 6.4.6. Dairymaster Ltd. (Ireland)
        • 6.4.6.1. Business Overview
        • 6.4.6.2. Products/Services Offerings
        • 6.4.6.3. Financial Analysis
        • 6.4.6.4. SWOT Analysis
      • 6.4.7. Lely International NV (Netherlands)
        • 6.4.7.1. Business Overview
        • 6.4.7.2. Products/Services Offerings
        • 6.4.7.3. Financial Analysis
        • 6.4.7.4. SWOT Analysis
      • 6.4.8. Fancom BV (Netherlands)
        • 6.4.8.1. Business Overview
        • 6.4.8.2. Products/Services Offerings
        • 6.4.8.3. Financial Analysis
        • 6.4.8.4. SWOT Analysis
      • 6.4.9. Fullwood Packo Ltd. (United Kingdom)
        • 6.4.9.1. Business Overview
        • 6.4.9.2. Products/Services Offerings
        • 6.4.9.3. Financial Analysis
        • 6.4.9.4. SWOT Analysis
      • 6.4.10. Nedap NV (Netherlands)
        • 6.4.10.1. Business Overview
        • 6.4.10.2. Products/Services Offerings
        • 6.4.10.3. Financial Analysis
        • 6.4.10.4. SWOT Analysis
      • 6.4.11. BT Group (United Kingdom)
        • 6.4.11.1. Business Overview
        • 6.4.11.2. Products/Services Offerings
        • 6.4.11.3. Financial Analysis
        • 6.4.11.4. SWOT Analysis
  • 7. Global Smart Cattle Sale, by Type, Application, Farm Size and Region (value) (2021-2026)
    • 7.1. Introduction
    • 7.2. Global Smart Cattle (Value)
      • 7.2.1. Global Smart Cattle by: Type (Value)
        • 7.2.1.1. Heat Sensors
        • 7.2.1.2. Temperature Sensors
        • 7.2.1.3. Motion Sensor
        • 7.2.1.4. Base Stations
        • 7.2.1.5. Others
      • 7.2.2. Global Smart Cattle by: Application (Value)
        • 7.2.2.1. Milk Harvesting Management
        • 7.2.2.2. Breeding Management
        • 7.2.2.3. Feeding Management
        • 7.2.2.4. Heat Stress Management
        • 7.2.2.5. Animal Comfort Management
        • 7.2.2.6. Behavior Monitoring & Control
        • 7.2.2.7. Others
      • 7.2.3. Global Smart Cattle by: Farm Size (Value)
        • 7.2.3.1. Small
        • 7.2.3.2. Medium
        • 7.2.3.3. Large
      • 7.2.4. Global Smart Cattle Region
        • 7.2.4.1. South America
          • 7.2.4.1.1. Brazil
          • 7.2.4.1.2. Argentina
          • 7.2.4.1.3. Rest of South America
        • 7.2.4.2. Asia Pacific
          • 7.2.4.2.1. China
          • 7.2.4.2.2. Japan
          • 7.2.4.2.3. India
          • 7.2.4.2.4. South Korea
          • 7.2.4.2.5. Taiwan
          • 7.2.4.2.6. Australia
          • 7.2.4.2.7. Rest of Asia-Pacific
        • 7.2.4.3. Europe
          • 7.2.4.3.1. Germany
          • 7.2.4.3.2. France
          • 7.2.4.3.3. Italy
          • 7.2.4.3.4. United Kingdom
          • 7.2.4.3.5. Netherlands
          • 7.2.4.3.6. Rest of Europe
        • 7.2.4.4. MEA
          • 7.2.4.4.1. Middle East
          • 7.2.4.4.2. Africa
        • 7.2.4.5. North America
          • 7.2.4.5.1. United States
          • 7.2.4.5.2. Canada
          • 7.2.4.5.3. Mexico
  • 8. Appendix
    • 8.1. Acronyms
  • 9. Methodology and Data Source
    • 9.1. Methodology/Research Approach
      • 9.1.1. Research Programs/Design
      • 9.1.2. Market Size Estimation
      • 9.1.3. Market Breakdown and Data Triangulation
    • 9.2. Data Source
      • 9.2.1. Secondary Sources
      • 9.2.2. Primary Sources
    • 9.3. Disclaimer
List of Tables
  • Table 1. Smart Cattle: by Type(USD Million)
  • Table 2. Smart Cattle Heat Sensors , by Region USD Million (2015-2020)
  • Table 3. Smart Cattle Temperature Sensors , by Region USD Million (2015-2020)
  • Table 4. Smart Cattle Motion Sensor , by Region USD Million (2015-2020)
  • Table 5. Smart Cattle Base Stations , by Region USD Million (2015-2020)
  • Table 6. Smart Cattle Others , by Region USD Million (2015-2020)
  • Table 7. Smart Cattle: by Application(USD Million)
  • Table 8. Smart Cattle Milk Harvesting Management , by Region USD Million (2015-2020)
  • Table 9. Smart Cattle Breeding Management , by Region USD Million (2015-2020)
  • Table 10. Smart Cattle Feeding Management , by Region USD Million (2015-2020)
  • Table 11. Smart Cattle Heat Stress Management , by Region USD Million (2015-2020)
  • Table 12. Smart Cattle Animal Comfort Management , by Region USD Million (2015-2020)
  • Table 13. Smart Cattle Behavior Monitoring & Control , by Region USD Million (2015-2020)
  • Table 14. Smart Cattle Others , by Region USD Million (2015-2020)
  • Table 15. Smart Cattle: by Farm Size(USD Million)
  • Table 16. Smart Cattle Small , by Region USD Million (2015-2020)
  • Table 17. Smart Cattle Medium , by Region USD Million (2015-2020)
  • Table 18. Smart Cattle Large , by Region USD Million (2015-2020)
  • Table 19. South America Smart Cattle, by Country USD Million (2015-2020)
  • Table 20. South America Smart Cattle, by Type USD Million (2015-2020)
  • Table 21. South America Smart Cattle, by Application USD Million (2015-2020)
  • Table 22. South America Smart Cattle, by Farm Size USD Million (2015-2020)
  • Table 23. Brazil Smart Cattle, by Type USD Million (2015-2020)
  • Table 24. Brazil Smart Cattle, by Application USD Million (2015-2020)
  • Table 25. Brazil Smart Cattle, by Farm Size USD Million (2015-2020)
  • Table 26. Argentina Smart Cattle, by Type USD Million (2015-2020)
  • Table 27. Argentina Smart Cattle, by Application USD Million (2015-2020)
  • Table 28. Argentina Smart Cattle, by Farm Size USD Million (2015-2020)
  • Table 29. Rest of South America Smart Cattle, by Type USD Million (2015-2020)
  • Table 30. Rest of South America Smart Cattle, by Application USD Million (2015-2020)
  • Table 31. Rest of South America Smart Cattle, by Farm Size USD Million (2015-2020)
  • Table 32. Asia Pacific Smart Cattle, by Country USD Million (2015-2020)
  • Table 33. Asia Pacific Smart Cattle, by Type USD Million (2015-2020)
  • Table 34. Asia Pacific Smart Cattle, by Application USD Million (2015-2020)
  • Table 35. Asia Pacific Smart Cattle, by Farm Size USD Million (2015-2020)
  • Table 36. China Smart Cattle, by Type USD Million (2015-2020)
  • Table 37. China Smart Cattle, by Application USD Million (2015-2020)
  • Table 38. China Smart Cattle, by Farm Size USD Million (2015-2020)
  • Table 39. Japan Smart Cattle, by Type USD Million (2015-2020)
  • Table 40. Japan Smart Cattle, by Application USD Million (2015-2020)
  • Table 41. Japan Smart Cattle, by Farm Size USD Million (2015-2020)
  • Table 42. India Smart Cattle, by Type USD Million (2015-2020)
  • Table 43. India Smart Cattle, by Application USD Million (2015-2020)
  • Table 44. India Smart Cattle, by Farm Size USD Million (2015-2020)
  • Table 45. South Korea Smart Cattle, by Type USD Million (2015-2020)
  • Table 46. South Korea Smart Cattle, by Application USD Million (2015-2020)
  • Table 47. South Korea Smart Cattle, by Farm Size USD Million (2015-2020)
  • Table 48. Taiwan Smart Cattle, by Type USD Million (2015-2020)
  • Table 49. Taiwan Smart Cattle, by Application USD Million (2015-2020)
  • Table 50. Taiwan Smart Cattle, by Farm Size USD Million (2015-2020)
  • Table 51. Australia Smart Cattle, by Type USD Million (2015-2020)
  • Table 52. Australia Smart Cattle, by Application USD Million (2015-2020)
  • Table 53. Australia Smart Cattle, by Farm Size USD Million (2015-2020)
  • Table 54. Rest of Asia-Pacific Smart Cattle, by Type USD Million (2015-2020)
  • Table 55. Rest of Asia-Pacific Smart Cattle, by Application USD Million (2015-2020)
  • Table 56. Rest of Asia-Pacific Smart Cattle, by Farm Size USD Million (2015-2020)
  • Table 57. Europe Smart Cattle, by Country USD Million (2015-2020)
  • Table 58. Europe Smart Cattle, by Type USD Million (2015-2020)
  • Table 59. Europe Smart Cattle, by Application USD Million (2015-2020)
  • Table 60. Europe Smart Cattle, by Farm Size USD Million (2015-2020)
  • Table 61. Germany Smart Cattle, by Type USD Million (2015-2020)
  • Table 62. Germany Smart Cattle, by Application USD Million (2015-2020)
  • Table 63. Germany Smart Cattle, by Farm Size USD Million (2015-2020)
  • Table 64. France Smart Cattle, by Type USD Million (2015-2020)
  • Table 65. France Smart Cattle, by Application USD Million (2015-2020)
  • Table 66. France Smart Cattle, by Farm Size USD Million (2015-2020)
  • Table 67. Italy Smart Cattle, by Type USD Million (2015-2020)
  • Table 68. Italy Smart Cattle, by Application USD Million (2015-2020)
  • Table 69. Italy Smart Cattle, by Farm Size USD Million (2015-2020)
  • Table 70. United Kingdom Smart Cattle, by Type USD Million (2015-2020)
  • Table 71. United Kingdom Smart Cattle, by Application USD Million (2015-2020)
  • Table 72. United Kingdom Smart Cattle, by Farm Size USD Million (2015-2020)
  • Table 73. Netherlands Smart Cattle, by Type USD Million (2015-2020)
  • Table 74. Netherlands Smart Cattle, by Application USD Million (2015-2020)
  • Table 75. Netherlands Smart Cattle, by Farm Size USD Million (2015-2020)
  • Table 76. Rest of Europe Smart Cattle, by Type USD Million (2015-2020)
  • Table 77. Rest of Europe Smart Cattle, by Application USD Million (2015-2020)
  • Table 78. Rest of Europe Smart Cattle, by Farm Size USD Million (2015-2020)
  • Table 79. MEA Smart Cattle, by Country USD Million (2015-2020)
  • Table 80. MEA Smart Cattle, by Type USD Million (2015-2020)
  • Table 81. MEA Smart Cattle, by Application USD Million (2015-2020)
  • Table 82. MEA Smart Cattle, by Farm Size USD Million (2015-2020)
  • Table 83. Middle East Smart Cattle, by Type USD Million (2015-2020)
  • Table 84. Middle East Smart Cattle, by Application USD Million (2015-2020)
  • Table 85. Middle East Smart Cattle, by Farm Size USD Million (2015-2020)
  • Table 86. Africa Smart Cattle, by Type USD Million (2015-2020)
  • Table 87. Africa Smart Cattle, by Application USD Million (2015-2020)
  • Table 88. Africa Smart Cattle, by Farm Size USD Million (2015-2020)
  • Table 89. North America Smart Cattle, by Country USD Million (2015-2020)
  • Table 90. North America Smart Cattle, by Type USD Million (2015-2020)
  • Table 91. North America Smart Cattle, by Application USD Million (2015-2020)
  • Table 92. North America Smart Cattle, by Farm Size USD Million (2015-2020)
  • Table 93. United States Smart Cattle, by Type USD Million (2015-2020)
  • Table 94. United States Smart Cattle, by Application USD Million (2015-2020)
  • Table 95. United States Smart Cattle, by Farm Size USD Million (2015-2020)
  • Table 96. Canada Smart Cattle, by Type USD Million (2015-2020)
  • Table 97. Canada Smart Cattle, by Application USD Million (2015-2020)
  • Table 98. Canada Smart Cattle, by Farm Size USD Million (2015-2020)
  • Table 99. Mexico Smart Cattle, by Type USD Million (2015-2020)
  • Table 100. Mexico Smart Cattle, by Application USD Million (2015-2020)
  • Table 101. Mexico Smart Cattle, by Farm Size USD Million (2015-2020)
  • Table 102. Company Basic Information, Sales Area and Its Competitors
  • Table 103. Company Basic Information, Sales Area and Its Competitors
  • Table 104. Company Basic Information, Sales Area and Its Competitors
  • Table 105. Company Basic Information, Sales Area and Its Competitors
  • Table 106. Company Basic Information, Sales Area and Its Competitors
  • Table 107. Company Basic Information, Sales Area and Its Competitors
  • Table 108. Company Basic Information, Sales Area and Its Competitors
  • Table 109. Company Basic Information, Sales Area and Its Competitors
  • Table 110. Company Basic Information, Sales Area and Its Competitors
  • Table 111. Company Basic Information, Sales Area and Its Competitors
  • Table 112. Company Basic Information, Sales Area and Its Competitors
  • Table 113. Smart Cattle: by Type(USD Million)
  • Table 114. Smart Cattle Heat Sensors , by Region USD Million (2021-2026)
  • Table 115. Smart Cattle Temperature Sensors , by Region USD Million (2021-2026)
  • Table 116. Smart Cattle Motion Sensor , by Region USD Million (2021-2026)
  • Table 117. Smart Cattle Base Stations , by Region USD Million (2021-2026)
  • Table 118. Smart Cattle Others , by Region USD Million (2021-2026)
  • Table 119. Smart Cattle: by Application(USD Million)
  • Table 120. Smart Cattle Milk Harvesting Management , by Region USD Million (2021-2026)
  • Table 121. Smart Cattle Breeding Management , by Region USD Million (2021-2026)
  • Table 122. Smart Cattle Feeding Management , by Region USD Million (2021-2026)
  • Table 123. Smart Cattle Heat Stress Management , by Region USD Million (2021-2026)
  • Table 124. Smart Cattle Animal Comfort Management , by Region USD Million (2021-2026)
  • Table 125. Smart Cattle Behavior Monitoring & Control , by Region USD Million (2021-2026)
  • Table 126. Smart Cattle Others , by Region USD Million (2021-2026)
  • Table 127. Smart Cattle: by Farm Size(USD Million)
  • Table 128. Smart Cattle Small , by Region USD Million (2021-2026)
  • Table 129. Smart Cattle Medium , by Region USD Million (2021-2026)
  • Table 130. Smart Cattle Large , by Region USD Million (2021-2026)
  • Table 131. South America Smart Cattle, by Country USD Million (2021-2026)
  • Table 132. South America Smart Cattle, by Type USD Million (2021-2026)
  • Table 133. South America Smart Cattle, by Application USD Million (2021-2026)
  • Table 134. South America Smart Cattle, by Farm Size USD Million (2021-2026)
  • Table 135. Brazil Smart Cattle, by Type USD Million (2021-2026)
  • Table 136. Brazil Smart Cattle, by Application USD Million (2021-2026)
  • Table 137. Brazil Smart Cattle, by Farm Size USD Million (2021-2026)
  • Table 138. Argentina Smart Cattle, by Type USD Million (2021-2026)
  • Table 139. Argentina Smart Cattle, by Application USD Million (2021-2026)
  • Table 140. Argentina Smart Cattle, by Farm Size USD Million (2021-2026)
  • Table 141. Rest of South America Smart Cattle, by Type USD Million (2021-2026)
  • Table 142. Rest of South America Smart Cattle, by Application USD Million (2021-2026)
  • Table 143. Rest of South America Smart Cattle, by Farm Size USD Million (2021-2026)
  • Table 144. Asia Pacific Smart Cattle, by Country USD Million (2021-2026)
  • Table 145. Asia Pacific Smart Cattle, by Type USD Million (2021-2026)
  • Table 146. Asia Pacific Smart Cattle, by Application USD Million (2021-2026)
  • Table 147. Asia Pacific Smart Cattle, by Farm Size USD Million (2021-2026)
  • Table 148. China Smart Cattle, by Type USD Million (2021-2026)
  • Table 149. China Smart Cattle, by Application USD Million (2021-2026)
  • Table 150. China Smart Cattle, by Farm Size USD Million (2021-2026)
  • Table 151. Japan Smart Cattle, by Type USD Million (2021-2026)
  • Table 152. Japan Smart Cattle, by Application USD Million (2021-2026)
  • Table 153. Japan Smart Cattle, by Farm Size USD Million (2021-2026)
  • Table 154. India Smart Cattle, by Type USD Million (2021-2026)
  • Table 155. India Smart Cattle, by Application USD Million (2021-2026)
  • Table 156. India Smart Cattle, by Farm Size USD Million (2021-2026)
  • Table 157. South Korea Smart Cattle, by Type USD Million (2021-2026)
  • Table 158. South Korea Smart Cattle, by Application USD Million (2021-2026)
  • Table 159. South Korea Smart Cattle, by Farm Size USD Million (2021-2026)
  • Table 160. Taiwan Smart Cattle, by Type USD Million (2021-2026)
  • Table 161. Taiwan Smart Cattle, by Application USD Million (2021-2026)
  • Table 162. Taiwan Smart Cattle, by Farm Size USD Million (2021-2026)
  • Table 163. Australia Smart Cattle, by Type USD Million (2021-2026)
  • Table 164. Australia Smart Cattle, by Application USD Million (2021-2026)
  • Table 165. Australia Smart Cattle, by Farm Size USD Million (2021-2026)
  • Table 166. Rest of Asia-Pacific Smart Cattle, by Type USD Million (2021-2026)
  • Table 167. Rest of Asia-Pacific Smart Cattle, by Application USD Million (2021-2026)
  • Table 168. Rest of Asia-Pacific Smart Cattle, by Farm Size USD Million (2021-2026)
  • Table 169. Europe Smart Cattle, by Country USD Million (2021-2026)
  • Table 170. Europe Smart Cattle, by Type USD Million (2021-2026)
  • Table 171. Europe Smart Cattle, by Application USD Million (2021-2026)
  • Table 172. Europe Smart Cattle, by Farm Size USD Million (2021-2026)
  • Table 173. Germany Smart Cattle, by Type USD Million (2021-2026)
  • Table 174. Germany Smart Cattle, by Application USD Million (2021-2026)
  • Table 175. Germany Smart Cattle, by Farm Size USD Million (2021-2026)
  • Table 176. France Smart Cattle, by Type USD Million (2021-2026)
  • Table 177. France Smart Cattle, by Application USD Million (2021-2026)
  • Table 178. France Smart Cattle, by Farm Size USD Million (2021-2026)
  • Table 179. Italy Smart Cattle, by Type USD Million (2021-2026)
  • Table 180. Italy Smart Cattle, by Application USD Million (2021-2026)
  • Table 181. Italy Smart Cattle, by Farm Size USD Million (2021-2026)
  • Table 182. United Kingdom Smart Cattle, by Type USD Million (2021-2026)
  • Table 183. United Kingdom Smart Cattle, by Application USD Million (2021-2026)
  • Table 184. United Kingdom Smart Cattle, by Farm Size USD Million (2021-2026)
  • Table 185. Netherlands Smart Cattle, by Type USD Million (2021-2026)
  • Table 186. Netherlands Smart Cattle, by Application USD Million (2021-2026)
  • Table 187. Netherlands Smart Cattle, by Farm Size USD Million (2021-2026)
  • Table 188. Rest of Europe Smart Cattle, by Type USD Million (2021-2026)
  • Table 189. Rest of Europe Smart Cattle, by Application USD Million (2021-2026)
  • Table 190. Rest of Europe Smart Cattle, by Farm Size USD Million (2021-2026)
  • Table 191. MEA Smart Cattle, by Country USD Million (2021-2026)
  • Table 192. MEA Smart Cattle, by Type USD Million (2021-2026)
  • Table 193. MEA Smart Cattle, by Application USD Million (2021-2026)
  • Table 194. MEA Smart Cattle, by Farm Size USD Million (2021-2026)
  • Table 195. Middle East Smart Cattle, by Type USD Million (2021-2026)
  • Table 196. Middle East Smart Cattle, by Application USD Million (2021-2026)
  • Table 197. Middle East Smart Cattle, by Farm Size USD Million (2021-2026)
  • Table 198. Africa Smart Cattle, by Type USD Million (2021-2026)
  • Table 199. Africa Smart Cattle, by Application USD Million (2021-2026)
  • Table 200. Africa Smart Cattle, by Farm Size USD Million (2021-2026)
  • Table 201. North America Smart Cattle, by Country USD Million (2021-2026)
  • Table 202. North America Smart Cattle, by Type USD Million (2021-2026)
  • Table 203. North America Smart Cattle, by Application USD Million (2021-2026)
  • Table 204. North America Smart Cattle, by Farm Size USD Million (2021-2026)
  • Table 205. United States Smart Cattle, by Type USD Million (2021-2026)
  • Table 206. United States Smart Cattle, by Application USD Million (2021-2026)
  • Table 207. United States Smart Cattle, by Farm Size USD Million (2021-2026)
  • Table 208. Canada Smart Cattle, by Type USD Million (2021-2026)
  • Table 209. Canada Smart Cattle, by Application USD Million (2021-2026)
  • Table 210. Canada Smart Cattle, by Farm Size USD Million (2021-2026)
  • Table 211. Mexico Smart Cattle, by Type USD Million (2021-2026)
  • Table 212. Mexico Smart Cattle, by Application USD Million (2021-2026)
  • Table 213. Mexico Smart Cattle, by Farm Size USD Million (2021-2026)
  • Table 214. Research Programs/Design for This Report
  • Table 215. Key Data Information from Secondary Sources
  • Table 216. Key Data Information from Primary Sources
List of Figures
  • Figure 1. Porters Five Forces
  • Figure 2. Supply/Value Chain
  • Figure 3. PESTEL analysis
  • Figure 4. Global Smart Cattle: by Type USD Million (2015-2020)
  • Figure 5. Global Smart Cattle: by Application USD Million (2015-2020)
  • Figure 6. Global Smart Cattle: by Farm Size USD Million (2015-2020)
  • Figure 7. South America Smart Cattle Share (%), by Country
  • Figure 8. Asia Pacific Smart Cattle Share (%), by Country
  • Figure 9. Europe Smart Cattle Share (%), by Country
  • Figure 10. MEA Smart Cattle Share (%), by Country
  • Figure 11. North America Smart Cattle Share (%), by Country
  • Figure 12. Global Smart Cattle share by Players 2020 (%)
  • Figure 13. Global Smart Cattle share by Players (Top 3) 2020(%)
  • Figure 14. Global Smart Cattle share by Players (Top 5) 2020(%)
  • Figure 15. BCG Matrix for key Companies
  • Figure 16. GEA Farm Technologies (Germany) Revenue, Net Income and Gross profit
  • Figure 17. GEA Farm Technologies (Germany) Revenue: by Geography 2020
  • Figure 18. DeLaval (Sweden) Revenue, Net Income and Gross profit
  • Figure 19. DeLaval (Sweden) Revenue: by Geography 2020
  • Figure 20. Afimilk Ltd. (Israel) Revenue, Net Income and Gross profit
  • Figure 21. Afimilk Ltd. (Israel) Revenue: by Geography 2020
  • Figure 22. BouMatic, LLC (United States) Revenue, Net Income and Gross profit
  • Figure 23. BouMatic, LLC (United States) Revenue: by Geography 2020
  • Figure 24. Merck Animal Health (United States) Revenue, Net Income and Gross profit
  • Figure 25. Merck Animal Health (United States) Revenue: by Geography 2020
  • Figure 26. Dairymaster Ltd. (Ireland) Revenue, Net Income and Gross profit
  • Figure 27. Dairymaster Ltd. (Ireland) Revenue: by Geography 2020
  • Figure 28. Lely International NV (Netherlands) Revenue, Net Income and Gross profit
  • Figure 29. Lely International NV (Netherlands) Revenue: by Geography 2020
  • Figure 30. Fancom BV (Netherlands) Revenue, Net Income and Gross profit
  • Figure 31. Fancom BV (Netherlands) Revenue: by Geography 2020
  • Figure 32. Fullwood Packo Ltd. (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 33. Fullwood Packo Ltd. (United Kingdom) Revenue: by Geography 2020
  • Figure 34. Nedap NV (Netherlands) Revenue, Net Income and Gross profit
  • Figure 35. Nedap NV (Netherlands) Revenue: by Geography 2020
  • Figure 36. BT Group (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 37. BT Group (United Kingdom) Revenue: by Geography 2020
  • Figure 38. Global Smart Cattle: by Type USD Million (2021-2026)
  • Figure 39. Global Smart Cattle: by Application USD Million (2021-2026)
  • Figure 40. Global Smart Cattle: by Farm Size USD Million (2021-2026)
  • Figure 41. South America Smart Cattle Share (%), by Country
  • Figure 42. Asia Pacific Smart Cattle Share (%), by Country
  • Figure 43. Europe Smart Cattle Share (%), by Country
  • Figure 44. MEA Smart Cattle Share (%), by Country
  • Figure 45. North America Smart Cattle Share (%), by Country
List of companies from research coverage that are profiled in the study
  • GEA Farm Technologies (Germany)
  • DeLaval (Sweden)
  • Afimilk Ltd. (Israel)
  • BouMatic, LLC (United States)
  • Merck Animal Health (United States)
  • Dairymaster Ltd. (Ireland)
  • Lely International NV (Netherlands)
  • Fancom BV (Netherlands)
  • Fullwood Packo Ltd. (United Kingdom)
  • Nedap NV (Netherlands)
  • BT Group (United Kingdom)
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May 2021 205 Pages 75 Tables Base Year: 2021 Coverage: 15+ Companies; 18 Countries

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Global Smart Cattle Market Quantitative research analysis
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