Global Livestock Identification Market

Livestock Identification Comprehensive Study by Farm Size (Small, Mid Size, Large), Identification Method (Visual Identification {Ear Tags, Ear Notching, Tattooing, Others}, Electronic Identification {RFID Tags, Microchip}, Tissue Sampling), Livestock (Cattle, Poultry, Swine, Equine, Others (Sheep and Goat)) Players and Region - Global Market Outlook to 2027

Livestock Identification Market by XX Submarkets | Forecast Years 2022-2027  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
Industry Background:
Livestock identification involved the method of identifying different animals in farms for keeping accurate production records of livestock animals. The different types of livestock identification methods include visual identification which includes ear tags, ear notching, tattooing, other, electronic identification which includes RFID tags, microchips, and tissue sampling. The identification method allows keeping records about the birth date, parentage, production records, health history. Currently, livestock identification is also used as the official identification of livestock animals. The global livestock identification market is expected to grow with the growing demand for consumer animal-based food products. There is also continuous research & development and advancements in the technology used in livestock industries.This growth is primarily driven by Growing Number of Livestock Farms in Different Regions and Demand for Maintaining Proper Identification of Animals and Implementing Better Management Practices for them.

Globally, a noticeable market trend is evident Increasing Use of Visual Identification and Electronic Identification for Livestock Identification. Major Players, such as Allflex (United States), DeLaval (Sweden), Nedap (Netherlands), HerdX, Inc. (United States), Livestock Improvement Corporation (New Zealand), IdentiGEN Ltd. (Ireland), Afimilk Ltd (Israel), Datamars (Switzerland), Kupsan Tag Company (Turkey), Caisley GmbH (Germany), Connecterra B.V. (Netherlands), BouMatic (United States) and Y-Tex Corporation (United States) etc have either set up their manufacturing facilities or are planning to start new provision in the dominated region in the upcoming years.

Key Developments in the Market:
On 5th August 2020, Merck Animal Health, known as MSD Animal Health outside the United States and Canada, a division of Merck & Co., Inc., Kenilworth, N.J., USA announced the completion of its acquisition of IdentiGEN, a leader in DNA-based animal traceability solutions for Livestock and Aquaculture from MML Growth Capital Partners Ireland. Specific terms of the agreement were not disclosed. IdentiGEN’s technology combines each species’ unique DNA (deoxyribonucleic acid) and data analytics to provide an evidence-based animal traceability solution, called DNA TraceBack, to accurately and precisely trace beef, seafood, pork, and poultry that is verifiable from farm-to-table.
On 17th January 2019, Merck has acquired Antelliq, the parent company of Allflex, maker, and distributor of digital animal identification, traceability, and monitoring products. All outstanding shares of the company were acquired for approximately 2.1 billion Euros, the company says. Merck will also assume Atelliq’s debt of 1.15 billion euros, which it intends to repay shortly after the deal is closed. The deal is expected to close in the second quarter of this year.

Regulatory Insights:
"At the federal level, the regulatory structure for animal identification is focused on the interstate movement of livestock. At the state level, the intra-state movement of livestock is governed by state and/or local governments. No matter what system of animal traceability each state eventually finalizes, the government’s approach, on the state and federal level, to the precise data requirements and maintenance of information, will certainly affect participants of the livestock industry. Under the new system, animal identification is owned, led, and administered by the individual states, rather than the federal government, and the information that is protected varies from state to state."

Market Drivers
  • Growing Number of Livestock Farms in Different Regions
  • Demand for Maintaining Proper Identification of Animals and Implementing Better Management Practices for them

Market Trend
  • Increasing Use of Visual Identification and Electronic Identification for Livestock Identification

Restraints
  • Stringent Regulatory Guidelines and Standards Associated with Livestock Identification Market

Opportunities
Surging Technological Advancement and Demand for Automation for Proper Management of Livestock will Boost the Livestock Identification Market
Challenges
Problems Involved with Managing Visual Ear Tags Hindering the Livestock Identification Market

AMA Research follow a focused and realistic research framework that provides the ability to study the crucial market dynamics in several regions across the world. Moreover, an in-depth assessment is mostly conducted by our analysts on geographical regions to provide clients and businesses the opportunity to dominate in niche markets and expand in emerging markets across the globe. This market research study also showcase the spontaneously changing Players landscape impacting the growth of the market. Furthermore, our market researchers extensively analyse the products and services offered by multiple players competing to increase their market share and presence.

Customization in the Report
AMA Research features not only specific market forecasts, but also include significant value-added commentary on:
- Market Trends
- Technological Trends and Innovations
- Market Maturity Indicators
- Growth Drivers and Constraints
- New Entrants into the Market & Entry/Exit Barriers
- To Seize Powerful Market Opportunities
- Identify Key Business Segments, Market Proposition & Gap Analysis

Against this Challenging Backdrop, Livestock Identification Study Sheds Light on
— The Livestock Identification Market status quo and key characteristics. To end this, Analyst at AMA organize and took survey of the Livestock Identification industry Players. The resultant snapshot serves as a basis for understanding why and how the industry can be expected to change.
— Where Livestock Identification industry is heading and what are the top priorities. Insights are drawn from financial analysis, the survey and interviews with key executives and industry experts.
— How every company in this diverse set of Players can best navigate the emerging competition landscape and follow a strategy that helps them position to hold value they currently claim, or capture the new addressable opportunity.

Report Objectives / Segmentation Covered

By Farm Size
  • Small
  • Mid Size
  • Large

By Identification Method
  • Visual Identification {Ear Tags, Ear Notching, Tattooing, Others}
  • Electronic Identification {RFID Tags, Microchip}
  • Tissue Sampling

By Livestock
  • Cattle
  • Poultry
  • Swine
  • Equine
  • Others (Sheep and Goat)

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. Growing Number of Livestock Farms in Different Regions
      • 3.2.2. Demand for Maintaining Proper Identification of Animals and Implementing Better Management Practices for them
    • 3.3. Market Challenges
      • 3.3.1. Problems Involved with Managing Visual Ear Tags Hindering the Livestock Identification Market
    • 3.4. Market Trends
      • 3.4.1. Increasing Use of Visual Identification and Electronic Identification for Livestock Identification
  • 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 Livestock Identification, by Farm Size, Identification Method, Livestock and Region (value and price ) (2016-2021)
    • 5.1. Introduction
    • 5.2. Global Livestock Identification (Value)
      • 5.2.1. Global Livestock Identification by: Farm Size (Value)
        • 5.2.1.1. Small
        • 5.2.1.2. Mid Size
        • 5.2.1.3. Large
      • 5.2.2. Global Livestock Identification by: Identification Method (Value)
        • 5.2.2.1. Visual Identification {Ear Tags, Ear Notching, Tattooing, Others}
        • 5.2.2.2. Electronic Identification {RFID Tags, Microchip}
        • 5.2.2.3. Tissue Sampling
      • 5.2.3. Global Livestock Identification by: Livestock (Value)
        • 5.2.3.1. Cattle
        • 5.2.3.2. Poultry
        • 5.2.3.3. Swine
        • 5.2.3.4. Equine
        • 5.2.3.5. Others (Sheep and Goat)
      • 5.2.4. Global Livestock Identification 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
    • 5.3. Global Livestock Identification (Price)
  • 6. Livestock Identification: 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 (2021)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. Allflex (United States)
        • 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. Nedap (Netherlands)
        • 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. HerdX, Inc. (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. Livestock Improvement Corporation (New Zealand)
        • 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. IdentiGEN 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. Afimilk Ltd (Israel)
        • 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. Datamars (Switzerland)
        • 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. Kupsan Tag Company (Turkey)
        • 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. Caisley GmbH (Germany)
        • 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. Connecterra B.V. (Netherlands)
        • 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
      • 6.4.12. BouMatic (United States)
        • 6.4.12.1. Business Overview
        • 6.4.12.2. Products/Services Offerings
        • 6.4.12.3. Financial Analysis
        • 6.4.12.4. SWOT Analysis
      • 6.4.13. Y-Tex Corporation (United States)
        • 6.4.13.1. Business Overview
        • 6.4.13.2. Products/Services Offerings
        • 6.4.13.3. Financial Analysis
        • 6.4.13.4. SWOT Analysis
  • 7. Global Livestock Identification Sale, by Farm Size, Identification Method, Livestock and Region (value and price ) (2022-2027)
    • 7.1. Introduction
    • 7.2. Global Livestock Identification (Value)
      • 7.2.1. Global Livestock Identification by: Farm Size (Value)
        • 7.2.1.1. Small
        • 7.2.1.2. Mid Size
        • 7.2.1.3. Large
      • 7.2.2. Global Livestock Identification by: Identification Method (Value)
        • 7.2.2.1. Visual Identification {Ear Tags, Ear Notching, Tattooing, Others}
        • 7.2.2.2. Electronic Identification {RFID Tags, Microchip}
        • 7.2.2.3. Tissue Sampling
      • 7.2.3. Global Livestock Identification by: Livestock (Value)
        • 7.2.3.1. Cattle
        • 7.2.3.2. Poultry
        • 7.2.3.3. Swine
        • 7.2.3.4. Equine
        • 7.2.3.5. Others (Sheep and Goat)
      • 7.2.4. Global Livestock Identification 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
    • 7.3. Global Livestock Identification (Price)
  • 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. Livestock Identification: by Farm Size(USD Million)
  • Table 2. Livestock Identification Small , by Region USD Million (2016-2021)
  • Table 3. Livestock Identification Mid Size , by Region USD Million (2016-2021)
  • Table 4. Livestock Identification Large , by Region USD Million (2016-2021)
  • Table 5. Livestock Identification: by Identification Method(USD Million)
  • Table 6. Livestock Identification Visual Identification {Ear Tags, Ear Notching, Tattooing, Others} , by Region USD Million (2016-2021)
  • Table 7. Livestock Identification Electronic Identification {RFID Tags, Microchip} , by Region USD Million (2016-2021)
  • Table 8. Livestock Identification Tissue Sampling , by Region USD Million (2016-2021)
  • Table 9. Livestock Identification: by Livestock(USD Million)
  • Table 10. Livestock Identification Cattle , by Region USD Million (2016-2021)
  • Table 11. Livestock Identification Poultry , by Region USD Million (2016-2021)
  • Table 12. Livestock Identification Swine , by Region USD Million (2016-2021)
  • Table 13. Livestock Identification Equine , by Region USD Million (2016-2021)
  • Table 14. Livestock Identification Others (Sheep and Goat) , by Region USD Million (2016-2021)
  • Table 15. South America Livestock Identification, by Country USD Million (2016-2021)
  • Table 16. South America Livestock Identification, by Farm Size USD Million (2016-2021)
  • Table 17. South America Livestock Identification, by Identification Method USD Million (2016-2021)
  • Table 18. South America Livestock Identification, by Livestock USD Million (2016-2021)
  • Table 19. Brazil Livestock Identification, by Farm Size USD Million (2016-2021)
  • Table 20. Brazil Livestock Identification, by Identification Method USD Million (2016-2021)
  • Table 21. Brazil Livestock Identification, by Livestock USD Million (2016-2021)
  • Table 22. Argentina Livestock Identification, by Farm Size USD Million (2016-2021)
  • Table 23. Argentina Livestock Identification, by Identification Method USD Million (2016-2021)
  • Table 24. Argentina Livestock Identification, by Livestock USD Million (2016-2021)
  • Table 25. Rest of South America Livestock Identification, by Farm Size USD Million (2016-2021)
  • Table 26. Rest of South America Livestock Identification, by Identification Method USD Million (2016-2021)
  • Table 27. Rest of South America Livestock Identification, by Livestock USD Million (2016-2021)
  • Table 28. Asia Pacific Livestock Identification, by Country USD Million (2016-2021)
  • Table 29. Asia Pacific Livestock Identification, by Farm Size USD Million (2016-2021)
  • Table 30. Asia Pacific Livestock Identification, by Identification Method USD Million (2016-2021)
  • Table 31. Asia Pacific Livestock Identification, by Livestock USD Million (2016-2021)
  • Table 32. China Livestock Identification, by Farm Size USD Million (2016-2021)
  • Table 33. China Livestock Identification, by Identification Method USD Million (2016-2021)
  • Table 34. China Livestock Identification, by Livestock USD Million (2016-2021)
  • Table 35. Japan Livestock Identification, by Farm Size USD Million (2016-2021)
  • Table 36. Japan Livestock Identification, by Identification Method USD Million (2016-2021)
  • Table 37. Japan Livestock Identification, by Livestock USD Million (2016-2021)
  • Table 38. India Livestock Identification, by Farm Size USD Million (2016-2021)
  • Table 39. India Livestock Identification, by Identification Method USD Million (2016-2021)
  • Table 40. India Livestock Identification, by Livestock USD Million (2016-2021)
  • Table 41. South Korea Livestock Identification, by Farm Size USD Million (2016-2021)
  • Table 42. South Korea Livestock Identification, by Identification Method USD Million (2016-2021)
  • Table 43. South Korea Livestock Identification, by Livestock USD Million (2016-2021)
  • Table 44. Taiwan Livestock Identification, by Farm Size USD Million (2016-2021)
  • Table 45. Taiwan Livestock Identification, by Identification Method USD Million (2016-2021)
  • Table 46. Taiwan Livestock Identification, by Livestock USD Million (2016-2021)
  • Table 47. Australia Livestock Identification, by Farm Size USD Million (2016-2021)
  • Table 48. Australia Livestock Identification, by Identification Method USD Million (2016-2021)
  • Table 49. Australia Livestock Identification, by Livestock USD Million (2016-2021)
  • Table 50. Rest of Asia-Pacific Livestock Identification, by Farm Size USD Million (2016-2021)
  • Table 51. Rest of Asia-Pacific Livestock Identification, by Identification Method USD Million (2016-2021)
  • Table 52. Rest of Asia-Pacific Livestock Identification, by Livestock USD Million (2016-2021)
  • Table 53. Europe Livestock Identification, by Country USD Million (2016-2021)
  • Table 54. Europe Livestock Identification, by Farm Size USD Million (2016-2021)
  • Table 55. Europe Livestock Identification, by Identification Method USD Million (2016-2021)
  • Table 56. Europe Livestock Identification, by Livestock USD Million (2016-2021)
  • Table 57. Germany Livestock Identification, by Farm Size USD Million (2016-2021)
  • Table 58. Germany Livestock Identification, by Identification Method USD Million (2016-2021)
  • Table 59. Germany Livestock Identification, by Livestock USD Million (2016-2021)
  • Table 60. France Livestock Identification, by Farm Size USD Million (2016-2021)
  • Table 61. France Livestock Identification, by Identification Method USD Million (2016-2021)
  • Table 62. France Livestock Identification, by Livestock USD Million (2016-2021)
  • Table 63. Italy Livestock Identification, by Farm Size USD Million (2016-2021)
  • Table 64. Italy Livestock Identification, by Identification Method USD Million (2016-2021)
  • Table 65. Italy Livestock Identification, by Livestock USD Million (2016-2021)
  • Table 66. United Kingdom Livestock Identification, by Farm Size USD Million (2016-2021)
  • Table 67. United Kingdom Livestock Identification, by Identification Method USD Million (2016-2021)
  • Table 68. United Kingdom Livestock Identification, by Livestock USD Million (2016-2021)
  • Table 69. Netherlands Livestock Identification, by Farm Size USD Million (2016-2021)
  • Table 70. Netherlands Livestock Identification, by Identification Method USD Million (2016-2021)
  • Table 71. Netherlands Livestock Identification, by Livestock USD Million (2016-2021)
  • Table 72. Rest of Europe Livestock Identification, by Farm Size USD Million (2016-2021)
  • Table 73. Rest of Europe Livestock Identification, by Identification Method USD Million (2016-2021)
  • Table 74. Rest of Europe Livestock Identification, by Livestock USD Million (2016-2021)
  • Table 75. MEA Livestock Identification, by Country USD Million (2016-2021)
  • Table 76. MEA Livestock Identification, by Farm Size USD Million (2016-2021)
  • Table 77. MEA Livestock Identification, by Identification Method USD Million (2016-2021)
  • Table 78. MEA Livestock Identification, by Livestock USD Million (2016-2021)
  • Table 79. Middle East Livestock Identification, by Farm Size USD Million (2016-2021)
  • Table 80. Middle East Livestock Identification, by Identification Method USD Million (2016-2021)
  • Table 81. Middle East Livestock Identification, by Livestock USD Million (2016-2021)
  • Table 82. Africa Livestock Identification, by Farm Size USD Million (2016-2021)
  • Table 83. Africa Livestock Identification, by Identification Method USD Million (2016-2021)
  • Table 84. Africa Livestock Identification, by Livestock USD Million (2016-2021)
  • Table 85. North America Livestock Identification, by Country USD Million (2016-2021)
  • Table 86. North America Livestock Identification, by Farm Size USD Million (2016-2021)
  • Table 87. North America Livestock Identification, by Identification Method USD Million (2016-2021)
  • Table 88. North America Livestock Identification, by Livestock USD Million (2016-2021)
  • Table 89. United States Livestock Identification, by Farm Size USD Million (2016-2021)
  • Table 90. United States Livestock Identification, by Identification Method USD Million (2016-2021)
  • Table 91. United States Livestock Identification, by Livestock USD Million (2016-2021)
  • Table 92. Canada Livestock Identification, by Farm Size USD Million (2016-2021)
  • Table 93. Canada Livestock Identification, by Identification Method USD Million (2016-2021)
  • Table 94. Canada Livestock Identification, by Livestock USD Million (2016-2021)
  • Table 95. Mexico Livestock Identification, by Farm Size USD Million (2016-2021)
  • Table 96. Mexico Livestock Identification, by Identification Method USD Million (2016-2021)
  • Table 97. Mexico Livestock Identification, by Livestock USD Million (2016-2021)
  • Table 98. Company Basic Information, Sales Area and Its Competitors
  • Table 99. Company Basic Information, Sales Area and Its Competitors
  • Table 100. Company Basic Information, Sales Area and Its Competitors
  • Table 101. Company Basic Information, Sales Area and Its Competitors
  • 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. Livestock Identification: by Farm Size(USD Million)
  • Table 112. Livestock Identification Small , by Region USD Million (2022-2027)
  • Table 113. Livestock Identification Mid Size , by Region USD Million (2022-2027)
  • Table 114. Livestock Identification Large , by Region USD Million (2022-2027)
  • Table 115. Livestock Identification: by Identification Method(USD Million)
  • Table 116. Livestock Identification Visual Identification {Ear Tags, Ear Notching, Tattooing, Others} , by Region USD Million (2022-2027)
  • Table 117. Livestock Identification Electronic Identification {RFID Tags, Microchip} , by Region USD Million (2022-2027)
  • Table 118. Livestock Identification Tissue Sampling , by Region USD Million (2022-2027)
  • Table 119. Livestock Identification: by Livestock(USD Million)
  • Table 120. Livestock Identification Cattle , by Region USD Million (2022-2027)
  • Table 121. Livestock Identification Poultry , by Region USD Million (2022-2027)
  • Table 122. Livestock Identification Swine , by Region USD Million (2022-2027)
  • Table 123. Livestock Identification Equine , by Region USD Million (2022-2027)
  • Table 124. Livestock Identification Others (Sheep and Goat) , by Region USD Million (2022-2027)
  • Table 125. South America Livestock Identification, by Country USD Million (2022-2027)
  • Table 126. South America Livestock Identification, by Farm Size USD Million (2022-2027)
  • Table 127. South America Livestock Identification, by Identification Method USD Million (2022-2027)
  • Table 128. South America Livestock Identification, by Livestock USD Million (2022-2027)
  • Table 129. Brazil Livestock Identification, by Farm Size USD Million (2022-2027)
  • Table 130. Brazil Livestock Identification, by Identification Method USD Million (2022-2027)
  • Table 131. Brazil Livestock Identification, by Livestock USD Million (2022-2027)
  • Table 132. Argentina Livestock Identification, by Farm Size USD Million (2022-2027)
  • Table 133. Argentina Livestock Identification, by Identification Method USD Million (2022-2027)
  • Table 134. Argentina Livestock Identification, by Livestock USD Million (2022-2027)
  • Table 135. Rest of South America Livestock Identification, by Farm Size USD Million (2022-2027)
  • Table 136. Rest of South America Livestock Identification, by Identification Method USD Million (2022-2027)
  • Table 137. Rest of South America Livestock Identification, by Livestock USD Million (2022-2027)
  • Table 138. Asia Pacific Livestock Identification, by Country USD Million (2022-2027)
  • Table 139. Asia Pacific Livestock Identification, by Farm Size USD Million (2022-2027)
  • Table 140. Asia Pacific Livestock Identification, by Identification Method USD Million (2022-2027)
  • Table 141. Asia Pacific Livestock Identification, by Livestock USD Million (2022-2027)
  • Table 142. China Livestock Identification, by Farm Size USD Million (2022-2027)
  • Table 143. China Livestock Identification, by Identification Method USD Million (2022-2027)
  • Table 144. China Livestock Identification, by Livestock USD Million (2022-2027)
  • Table 145. Japan Livestock Identification, by Farm Size USD Million (2022-2027)
  • Table 146. Japan Livestock Identification, by Identification Method USD Million (2022-2027)
  • Table 147. Japan Livestock Identification, by Livestock USD Million (2022-2027)
  • Table 148. India Livestock Identification, by Farm Size USD Million (2022-2027)
  • Table 149. India Livestock Identification, by Identification Method USD Million (2022-2027)
  • Table 150. India Livestock Identification, by Livestock USD Million (2022-2027)
  • Table 151. South Korea Livestock Identification, by Farm Size USD Million (2022-2027)
  • Table 152. South Korea Livestock Identification, by Identification Method USD Million (2022-2027)
  • Table 153. South Korea Livestock Identification, by Livestock USD Million (2022-2027)
  • Table 154. Taiwan Livestock Identification, by Farm Size USD Million (2022-2027)
  • Table 155. Taiwan Livestock Identification, by Identification Method USD Million (2022-2027)
  • Table 156. Taiwan Livestock Identification, by Livestock USD Million (2022-2027)
  • Table 157. Australia Livestock Identification, by Farm Size USD Million (2022-2027)
  • Table 158. Australia Livestock Identification, by Identification Method USD Million (2022-2027)
  • Table 159. Australia Livestock Identification, by Livestock USD Million (2022-2027)
  • Table 160. Rest of Asia-Pacific Livestock Identification, by Farm Size USD Million (2022-2027)
  • Table 161. Rest of Asia-Pacific Livestock Identification, by Identification Method USD Million (2022-2027)
  • Table 162. Rest of Asia-Pacific Livestock Identification, by Livestock USD Million (2022-2027)
  • Table 163. Europe Livestock Identification, by Country USD Million (2022-2027)
  • Table 164. Europe Livestock Identification, by Farm Size USD Million (2022-2027)
  • Table 165. Europe Livestock Identification, by Identification Method USD Million (2022-2027)
  • Table 166. Europe Livestock Identification, by Livestock USD Million (2022-2027)
  • Table 167. Germany Livestock Identification, by Farm Size USD Million (2022-2027)
  • Table 168. Germany Livestock Identification, by Identification Method USD Million (2022-2027)
  • Table 169. Germany Livestock Identification, by Livestock USD Million (2022-2027)
  • Table 170. France Livestock Identification, by Farm Size USD Million (2022-2027)
  • Table 171. France Livestock Identification, by Identification Method USD Million (2022-2027)
  • Table 172. France Livestock Identification, by Livestock USD Million (2022-2027)
  • Table 173. Italy Livestock Identification, by Farm Size USD Million (2022-2027)
  • Table 174. Italy Livestock Identification, by Identification Method USD Million (2022-2027)
  • Table 175. Italy Livestock Identification, by Livestock USD Million (2022-2027)
  • Table 176. United Kingdom Livestock Identification, by Farm Size USD Million (2022-2027)
  • Table 177. United Kingdom Livestock Identification, by Identification Method USD Million (2022-2027)
  • Table 178. United Kingdom Livestock Identification, by Livestock USD Million (2022-2027)
  • Table 179. Netherlands Livestock Identification, by Farm Size USD Million (2022-2027)
  • Table 180. Netherlands Livestock Identification, by Identification Method USD Million (2022-2027)
  • Table 181. Netherlands Livestock Identification, by Livestock USD Million (2022-2027)
  • Table 182. Rest of Europe Livestock Identification, by Farm Size USD Million (2022-2027)
  • Table 183. Rest of Europe Livestock Identification, by Identification Method USD Million (2022-2027)
  • Table 184. Rest of Europe Livestock Identification, by Livestock USD Million (2022-2027)
  • Table 185. MEA Livestock Identification, by Country USD Million (2022-2027)
  • Table 186. MEA Livestock Identification, by Farm Size USD Million (2022-2027)
  • Table 187. MEA Livestock Identification, by Identification Method USD Million (2022-2027)
  • Table 188. MEA Livestock Identification, by Livestock USD Million (2022-2027)
  • Table 189. Middle East Livestock Identification, by Farm Size USD Million (2022-2027)
  • Table 190. Middle East Livestock Identification, by Identification Method USD Million (2022-2027)
  • Table 191. Middle East Livestock Identification, by Livestock USD Million (2022-2027)
  • Table 192. Africa Livestock Identification, by Farm Size USD Million (2022-2027)
  • Table 193. Africa Livestock Identification, by Identification Method USD Million (2022-2027)
  • Table 194. Africa Livestock Identification, by Livestock USD Million (2022-2027)
  • Table 195. North America Livestock Identification, by Country USD Million (2022-2027)
  • Table 196. North America Livestock Identification, by Farm Size USD Million (2022-2027)
  • Table 197. North America Livestock Identification, by Identification Method USD Million (2022-2027)
  • Table 198. North America Livestock Identification, by Livestock USD Million (2022-2027)
  • Table 199. United States Livestock Identification, by Farm Size USD Million (2022-2027)
  • Table 200. United States Livestock Identification, by Identification Method USD Million (2022-2027)
  • Table 201. United States Livestock Identification, by Livestock USD Million (2022-2027)
  • Table 202. Canada Livestock Identification, by Farm Size USD Million (2022-2027)
  • Table 203. Canada Livestock Identification, by Identification Method USD Million (2022-2027)
  • Table 204. Canada Livestock Identification, by Livestock USD Million (2022-2027)
  • Table 205. Mexico Livestock Identification, by Farm Size USD Million (2022-2027)
  • Table 206. Mexico Livestock Identification, by Identification Method USD Million (2022-2027)
  • Table 207. Mexico Livestock Identification, by Livestock USD Million (2022-2027)
  • Table 208. Research Programs/Design for This Report
  • Table 209. Key Data Information from Secondary Sources
  • Table 210. 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 Livestock Identification: by Farm Size USD Million (2016-2021)
  • Figure 5. Global Livestock Identification: by Identification Method USD Million (2016-2021)
  • Figure 6. Global Livestock Identification: by Livestock USD Million (2016-2021)
  • Figure 7. South America Livestock Identification Share (%), by Country
  • Figure 8. Asia Pacific Livestock Identification Share (%), by Country
  • Figure 9. Europe Livestock Identification Share (%), by Country
  • Figure 10. MEA Livestock Identification Share (%), by Country
  • Figure 11. North America Livestock Identification Share (%), by Country
  • Figure 12. Global Livestock Identification share by Players 2021 (%)
  • Figure 13. Global Livestock Identification share by Players (Top 3) 2021(%)
  • Figure 14. Global Livestock Identification share by Players (Top 5) 2021(%)
  • Figure 15. BCG Matrix for key Companies
  • Figure 16. Allflex (United States) Revenue, Net Income and Gross profit
  • Figure 17. Allflex (United States) Revenue: by Geography 2021
  • Figure 18. DeLaval (Sweden) Revenue, Net Income and Gross profit
  • Figure 19. DeLaval (Sweden) Revenue: by Geography 2021
  • Figure 20. Nedap (Netherlands) Revenue, Net Income and Gross profit
  • Figure 21. Nedap (Netherlands) Revenue: by Geography 2021
  • Figure 22. HerdX, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 23. HerdX, Inc. (United States) Revenue: by Geography 2021
  • Figure 24. Livestock Improvement Corporation (New Zealand) Revenue, Net Income and Gross profit
  • Figure 25. Livestock Improvement Corporation (New Zealand) Revenue: by Geography 2021
  • Figure 26. IdentiGEN Ltd. (Ireland) Revenue, Net Income and Gross profit
  • Figure 27. IdentiGEN Ltd. (Ireland) Revenue: by Geography 2021
  • Figure 28. Afimilk Ltd (Israel) Revenue, Net Income and Gross profit
  • Figure 29. Afimilk Ltd (Israel) Revenue: by Geography 2021
  • Figure 30. Datamars (Switzerland) Revenue, Net Income and Gross profit
  • Figure 31. Datamars (Switzerland) Revenue: by Geography 2021
  • Figure 32. Kupsan Tag Company (Turkey) Revenue, Net Income and Gross profit
  • Figure 33. Kupsan Tag Company (Turkey) Revenue: by Geography 2021
  • Figure 34. Caisley GmbH (Germany) Revenue, Net Income and Gross profit
  • Figure 35. Caisley GmbH (Germany) Revenue: by Geography 2021
  • Figure 36. Connecterra B.V. (Netherlands) Revenue, Net Income and Gross profit
  • Figure 37. Connecterra B.V. (Netherlands) Revenue: by Geography 2021
  • Figure 38. BouMatic (United States) Revenue, Net Income and Gross profit
  • Figure 39. BouMatic (United States) Revenue: by Geography 2021
  • Figure 40. Y-Tex Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 41. Y-Tex Corporation (United States) Revenue: by Geography 2021
  • Figure 42. Global Livestock Identification: by Farm Size USD Million (2022-2027)
  • Figure 43. Global Livestock Identification: by Identification Method USD Million (2022-2027)
  • Figure 44. Global Livestock Identification: by Livestock USD Million (2022-2027)
  • Figure 45. South America Livestock Identification Share (%), by Country
  • Figure 46. Asia Pacific Livestock Identification Share (%), by Country
  • Figure 47. Europe Livestock Identification Share (%), by Country
  • Figure 48. MEA Livestock Identification Share (%), by Country
  • Figure 49. North America Livestock Identification Share (%), by Country
List of companies from research coverage that are profiled in the study
  • Allflex (United States)
  • DeLaval (Sweden)
  • Nedap (Netherlands)
  • HerdX, Inc. (United States)
  • Livestock Improvement Corporation (New Zealand)
  • IdentiGEN Ltd. (Ireland)
  • Afimilk Ltd (Israel)
  • Datamars (Switzerland)
  • Kupsan Tag Company (Turkey)
  • Caisley GmbH (Germany)
  • Connecterra B.V. (Netherlands)
  • BouMatic (United States)
  • Y-Tex Corporation (United States)
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Mar 2022 208 Pages 55 Tables Base Year: 2021 Coverage: 15+ Companies; 18 Countries

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Global Livestock Identification Market Quantitative research analysis
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Historical year: 2017-2021; Base year: 2021; Forecast period: 2022 to 2027
Companies that are profiled in Global Livestock Identification Market are Allflex (United States), DeLaval (Sweden), Nedap (Netherlands), HerdX, Inc. (United States), Livestock Improvement Corporation (New Zealand), IdentiGEN Ltd. (Ireland), Afimilk Ltd (Israel), Datamars (Switzerland), Kupsan Tag Company (Turkey), Caisley GmbH (Germany), Connecterra B.V. (Netherlands), BouMatic (United States) and Y-Tex Corporation (United States) etc.
Livestock identification involved the method of identifying different animals in farms for keeping accurate production records of livestock animals. The different types of livestock identification methods include visual identification which includes ear tags, ear notching, tattooing, other, electronic identification which includes RFID tags, microchips, and tissue sampling. The identification method allows keeping records about the birth date, parentage, production records, health history. Currently, livestock identification is also used as the official identification of livestock animals. The global livestock identification market is expected to grow with the growing demand for consumer animal-based food products. There is also continuous research & development and advancements in the technology used in livestock industries.

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