Agricultural Genome Comprehensive Study by Application (Crops, Livestock), Types of genomics (Structural genomics, Functional genomics, Comparative genomics), End User (Agriculture Consortia, Agricultural Community) Players and Region - Global Market Outlook to 2028

Agricultural Genome Market by XX Submarkets | Forecast Years 2023-2028  

  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
About Agricultural Genome
Agricultural genomics is the use of technology to analyses and classify plant genes in order to produce new, specific crop varieties. These new crops have the potential to help address a variety of food issues around the world, as well as improve the productivity and sustainability of many plant varieties and livestock productions. Genomic innovations have aided crop development by allowing for the selection of agriculturally desirable traits. These promising traits frequently include increased crop yield, stress tolerance, and pest resistance. Overall, the use of genomics can accelerate crop and livestock development with traits that increase sustainability or meet consumer demand.

AttributesDetails
Study Period2018-2028
Base Year2022
UnitValue (USD Million)


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. Analyst at AMA Research estimates that United States Vendors will contribute the maximum growth to Global Agricultural Genome market throughout the forecasted period. Established and emerging Vendors should take a closer view at their existing organizations and reinvent traditional business and operating models to adapt to the future.

Thermo Fisher Scientific (United States), Illumina (United States), Agilent Technologies (United States), Eurofins (Luxembourg), Zoetis (United States), LGC Limited (United Kingdom), BGI Genomics (Denmark), Neogen Corporation (United States) and Pacific Biosciences (United States) are some of the key players that are part of study coverage.

Segmentation Overview
AMA Research has segmented the market of Global Agricultural Genome market by , Application (Crops and Livestock) and Region.



On the basis of geography, the market of Agricultural Genome has been segmented into South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, 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). If we see Market by Types of genomics, the sub-segment i.e. Structural genomics will boost the Agricultural Genome market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by End User, the sub-segment i.e. Agriculture Consortia will boost the Agricultural Genome market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth.

Influencing Trend:
Technological Innovations In Agriculture Sector and Increase In Preference For Organic Food Products Among Population Fuels The Growth Of Agricultural Genome Market

Market Growth Drivers:
Rising Spending In Agricultural Activities Will Boost Agricultural Genome Market and Surge In Demand For High Quality Vegetable, Fruits And Cereals Across The Global

Challenges:
Lack Of Agricultural Infrastructure Support and High Complexity Associated With Agricultural Genomics

Restraints:
Lack Of Knowledge About Agricultural Genome

Opportunities:
Increasing Enactment Of Favorable Government Incentives and Rise In Demand For Quality Of The Crops And Extension Of Agriculture Sector

Market Leaders and their expansionary development strategies

On 9 January 2020, NEOGEN Corporation announced that it has entered into a partnership with genetic testing company Gencove to develop NEOGEN’s next generation of animal genomic tests.


Key Target Audience
New Entrants and Investors, Venture Capitalists, Government Bodies, Corporate Entities, Government and Private Research Organizations and Others

About Approach
To evaluate and validate the market size various sources including primary and secondary analysis is utilized. AMA Research follows regulatory standards such as NAICS/SIC/ICB/TRCB, to have a better understanding of the market. The market study is conducted on basis of more than 200 companies dealing in the market regional as well as global areas with the purpose to understand the companies positioning regarding the market value, volume, and their market share for regional as well as global.

Further to bring relevance specific to any niche market we set and apply a number of criteria like Geographic Footprints, Regional Segments of Revenue, Operational Centres, etc. The next step is to finalize a team (In-House + Data Agencies) who then starts collecting C & D level executives and profiles, Industry experts, Opinion leaders, etc., and work towards appointment generation.

The primary research is performed by taking the interviews of executives of various companies dealing in the market as well as using the survey reports, research institute, and latest research reports. Meanwhile, the analyst team keeps preparing a set of questionnaires, and after getting the appointee list; the target audience is then tapped and segregated with various mediums and channels that are feasible for making connections that including email communication, telephonic, skype, LinkedIn Group & InMail, Community Forums, Community Forums, open Survey, SurveyMonkey, etc.

Report Objectives / Segmentation Covered

By Application
  • Crops
  • Livestock
By Types of genomics
  • Structural genomics
  • Functional genomics
  • Comparative genomics

By End User
  • Agriculture Consortia
  • Agricultural Community

By Regions
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • 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. Rising Spending In Agricultural Activities Will Boost Agricultural Genome Market
      • 3.2.2. Surge In Demand For High Quality Vegetable, Fruits And Cereals Across The Global
    • 3.3. Market Challenges
      • 3.3.1. Lack Of Agricultural Infrastructure Support
      • 3.3.2. High Complexity Associated With Agricultural Genomics
    • 3.4. Market Trends
      • 3.4.1. Technological Innovations In Agriculture Sector
      • 3.4.2. Increase In Preference For Organic Food Products Among Population Fuels The Growth Of Agricultural Genome Market
  • 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 Agricultural Genome, by Application, Types of genomics, End User and Region (value and price ) (2017-2022)
    • 5.1. Introduction
    • 5.2. Global Agricultural Genome (Value)
      • 5.2.1. Global Agricultural Genome by: Application (Value)
        • 5.2.1.1. Crops
        • 5.2.1.2. Livestock
      • 5.2.2. Global Agricultural Genome by: Types of genomics (Value)
        • 5.2.2.1. Structural genomics
        • 5.2.2.2. Functional genomics
        • 5.2.2.3. Comparative genomics
      • 5.2.3. Global Agricultural Genome by: End User (Value)
        • 5.2.3.1. Agriculture Consortia
        • 5.2.3.2. Agricultural Community
      • 5.2.4. Global Agricultural Genome 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. Australia
          • 5.2.4.2.6. 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 Agricultural Genome (Price)
  • 6. Agricultural Genome: 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 (2022)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. Thermo Fisher Scientific (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. Illumina (United States)
        • 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. Agilent Technologies (United States)
        • 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. Eurofins (Luxembourg)
        • 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. Zoetis (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. LGC Limited (United Kingdom)
        • 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. BGI Genomics (Denmark)
        • 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. Neogen Corporation (United States)
        • 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. Pacific Biosciences (United States)
        • 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
  • 7. Global Agricultural Genome Sale, by Application, Types of genomics, End User and Region (value and price ) (2023-2028)
    • 7.1. Introduction
    • 7.2. Global Agricultural Genome (Value)
      • 7.2.1. Global Agricultural Genome by: Application (Value)
        • 7.2.1.1. Crops
        • 7.2.1.2. Livestock
      • 7.2.2. Global Agricultural Genome by: Types of genomics (Value)
        • 7.2.2.1. Structural genomics
        • 7.2.2.2. Functional genomics
        • 7.2.2.3. Comparative genomics
      • 7.2.3. Global Agricultural Genome by: End User (Value)
        • 7.2.3.1. Agriculture Consortia
        • 7.2.3.2. Agricultural Community
      • 7.2.4. Global Agricultural Genome 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. Australia
          • 7.2.4.2.6. 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 Agricultural Genome (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. Agricultural Genome: by Application(USD Million)
  • Table 2. Agricultural Genome Crops , by Region USD Million (2017-2022)
  • Table 3. Agricultural Genome Livestock , by Region USD Million (2017-2022)
  • Table 4. Agricultural Genome: by Types of genomics(USD Million)
  • Table 5. Agricultural Genome Structural genomics , by Region USD Million (2017-2022)
  • Table 6. Agricultural Genome Functional genomics , by Region USD Million (2017-2022)
  • Table 7. Agricultural Genome Comparative genomics , by Region USD Million (2017-2022)
  • Table 8. Agricultural Genome: by End User(USD Million)
  • Table 9. Agricultural Genome Agriculture Consortia , by Region USD Million (2017-2022)
  • Table 10. Agricultural Genome Agricultural Community , by Region USD Million (2017-2022)
  • Table 11. South America Agricultural Genome, by Country USD Million (2017-2022)
  • Table 12. South America Agricultural Genome, by Application USD Million (2017-2022)
  • Table 13. South America Agricultural Genome, by Types of genomics USD Million (2017-2022)
  • Table 14. South America Agricultural Genome, by End User USD Million (2017-2022)
  • Table 15. Brazil Agricultural Genome, by Application USD Million (2017-2022)
  • Table 16. Brazil Agricultural Genome, by Types of genomics USD Million (2017-2022)
  • Table 17. Brazil Agricultural Genome, by End User USD Million (2017-2022)
  • Table 18. Argentina Agricultural Genome, by Application USD Million (2017-2022)
  • Table 19. Argentina Agricultural Genome, by Types of genomics USD Million (2017-2022)
  • Table 20. Argentina Agricultural Genome, by End User USD Million (2017-2022)
  • Table 21. Rest of South America Agricultural Genome, by Application USD Million (2017-2022)
  • Table 22. Rest of South America Agricultural Genome, by Types of genomics USD Million (2017-2022)
  • Table 23. Rest of South America Agricultural Genome, by End User USD Million (2017-2022)
  • Table 24. Asia Pacific Agricultural Genome, by Country USD Million (2017-2022)
  • Table 25. Asia Pacific Agricultural Genome, by Application USD Million (2017-2022)
  • Table 26. Asia Pacific Agricultural Genome, by Types of genomics USD Million (2017-2022)
  • Table 27. Asia Pacific Agricultural Genome, by End User USD Million (2017-2022)
  • Table 28. China Agricultural Genome, by Application USD Million (2017-2022)
  • Table 29. China Agricultural Genome, by Types of genomics USD Million (2017-2022)
  • Table 30. China Agricultural Genome, by End User USD Million (2017-2022)
  • Table 31. Japan Agricultural Genome, by Application USD Million (2017-2022)
  • Table 32. Japan Agricultural Genome, by Types of genomics USD Million (2017-2022)
  • Table 33. Japan Agricultural Genome, by End User USD Million (2017-2022)
  • Table 34. India Agricultural Genome, by Application USD Million (2017-2022)
  • Table 35. India Agricultural Genome, by Types of genomics USD Million (2017-2022)
  • Table 36. India Agricultural Genome, by End User USD Million (2017-2022)
  • Table 37. South Korea Agricultural Genome, by Application USD Million (2017-2022)
  • Table 38. South Korea Agricultural Genome, by Types of genomics USD Million (2017-2022)
  • Table 39. South Korea Agricultural Genome, by End User USD Million (2017-2022)
  • Table 40. Australia Agricultural Genome, by Application USD Million (2017-2022)
  • Table 41. Australia Agricultural Genome, by Types of genomics USD Million (2017-2022)
  • Table 42. Australia Agricultural Genome, by End User USD Million (2017-2022)
  • Table 43. Rest of Asia-Pacific Agricultural Genome, by Application USD Million (2017-2022)
  • Table 44. Rest of Asia-Pacific Agricultural Genome, by Types of genomics USD Million (2017-2022)
  • Table 45. Rest of Asia-Pacific Agricultural Genome, by End User USD Million (2017-2022)
  • Table 46. Europe Agricultural Genome, by Country USD Million (2017-2022)
  • Table 47. Europe Agricultural Genome, by Application USD Million (2017-2022)
  • Table 48. Europe Agricultural Genome, by Types of genomics USD Million (2017-2022)
  • Table 49. Europe Agricultural Genome, by End User USD Million (2017-2022)
  • Table 50. Germany Agricultural Genome, by Application USD Million (2017-2022)
  • Table 51. Germany Agricultural Genome, by Types of genomics USD Million (2017-2022)
  • Table 52. Germany Agricultural Genome, by End User USD Million (2017-2022)
  • Table 53. France Agricultural Genome, by Application USD Million (2017-2022)
  • Table 54. France Agricultural Genome, by Types of genomics USD Million (2017-2022)
  • Table 55. France Agricultural Genome, by End User USD Million (2017-2022)
  • Table 56. Italy Agricultural Genome, by Application USD Million (2017-2022)
  • Table 57. Italy Agricultural Genome, by Types of genomics USD Million (2017-2022)
  • Table 58. Italy Agricultural Genome, by End User USD Million (2017-2022)
  • Table 59. United Kingdom Agricultural Genome, by Application USD Million (2017-2022)
  • Table 60. United Kingdom Agricultural Genome, by Types of genomics USD Million (2017-2022)
  • Table 61. United Kingdom Agricultural Genome, by End User USD Million (2017-2022)
  • Table 62. Netherlands Agricultural Genome, by Application USD Million (2017-2022)
  • Table 63. Netherlands Agricultural Genome, by Types of genomics USD Million (2017-2022)
  • Table 64. Netherlands Agricultural Genome, by End User USD Million (2017-2022)
  • Table 65. Rest of Europe Agricultural Genome, by Application USD Million (2017-2022)
  • Table 66. Rest of Europe Agricultural Genome, by Types of genomics USD Million (2017-2022)
  • Table 67. Rest of Europe Agricultural Genome, by End User USD Million (2017-2022)
  • Table 68. MEA Agricultural Genome, by Country USD Million (2017-2022)
  • Table 69. MEA Agricultural Genome, by Application USD Million (2017-2022)
  • Table 70. MEA Agricultural Genome, by Types of genomics USD Million (2017-2022)
  • Table 71. MEA Agricultural Genome, by End User USD Million (2017-2022)
  • Table 72. Middle East Agricultural Genome, by Application USD Million (2017-2022)
  • Table 73. Middle East Agricultural Genome, by Types of genomics USD Million (2017-2022)
  • Table 74. Middle East Agricultural Genome, by End User USD Million (2017-2022)
  • Table 75. Africa Agricultural Genome, by Application USD Million (2017-2022)
  • Table 76. Africa Agricultural Genome, by Types of genomics USD Million (2017-2022)
  • Table 77. Africa Agricultural Genome, by End User USD Million (2017-2022)
  • Table 78. North America Agricultural Genome, by Country USD Million (2017-2022)
  • Table 79. North America Agricultural Genome, by Application USD Million (2017-2022)
  • Table 80. North America Agricultural Genome, by Types of genomics USD Million (2017-2022)
  • Table 81. North America Agricultural Genome, by End User USD Million (2017-2022)
  • Table 82. United States Agricultural Genome, by Application USD Million (2017-2022)
  • Table 83. United States Agricultural Genome, by Types of genomics USD Million (2017-2022)
  • Table 84. United States Agricultural Genome, by End User USD Million (2017-2022)
  • Table 85. Canada Agricultural Genome, by Application USD Million (2017-2022)
  • Table 86. Canada Agricultural Genome, by Types of genomics USD Million (2017-2022)
  • Table 87. Canada Agricultural Genome, by End User USD Million (2017-2022)
  • Table 88. Mexico Agricultural Genome, by Application USD Million (2017-2022)
  • Table 89. Mexico Agricultural Genome, by Types of genomics USD Million (2017-2022)
  • Table 90. Mexico Agricultural Genome, by End User USD Million (2017-2022)
  • Table 91. Company Basic Information, Sales Area and Its Competitors
  • Table 92. Company Basic Information, Sales Area and Its Competitors
  • Table 93. Company Basic Information, Sales Area and Its Competitors
  • Table 94. Company Basic Information, Sales Area and Its Competitors
  • Table 95. Company Basic Information, Sales Area and Its Competitors
  • Table 96. Company Basic Information, Sales Area and Its Competitors
  • Table 97. Company Basic Information, Sales Area and Its Competitors
  • Table 98. Company Basic Information, Sales Area and Its Competitors
  • Table 99. Company Basic Information, Sales Area and Its Competitors
  • Table 100. Agricultural Genome: by Application(USD Million)
  • Table 101. Agricultural Genome Crops , by Region USD Million (2023-2028)
  • Table 102. Agricultural Genome Livestock , by Region USD Million (2023-2028)
  • Table 103. Agricultural Genome: by Types of genomics(USD Million)
  • Table 104. Agricultural Genome Structural genomics , by Region USD Million (2023-2028)
  • Table 105. Agricultural Genome Functional genomics , by Region USD Million (2023-2028)
  • Table 106. Agricultural Genome Comparative genomics , by Region USD Million (2023-2028)
  • Table 107. Agricultural Genome: by End User(USD Million)
  • Table 108. Agricultural Genome Agriculture Consortia , by Region USD Million (2023-2028)
  • Table 109. Agricultural Genome Agricultural Community , by Region USD Million (2023-2028)
  • Table 110. South America Agricultural Genome, by Country USD Million (2023-2028)
  • Table 111. South America Agricultural Genome, by Application USD Million (2023-2028)
  • Table 112. South America Agricultural Genome, by Types of genomics USD Million (2023-2028)
  • Table 113. South America Agricultural Genome, by End User USD Million (2023-2028)
  • Table 114. Brazil Agricultural Genome, by Application USD Million (2023-2028)
  • Table 115. Brazil Agricultural Genome, by Types of genomics USD Million (2023-2028)
  • Table 116. Brazil Agricultural Genome, by End User USD Million (2023-2028)
  • Table 117. Argentina Agricultural Genome, by Application USD Million (2023-2028)
  • Table 118. Argentina Agricultural Genome, by Types of genomics USD Million (2023-2028)
  • Table 119. Argentina Agricultural Genome, by End User USD Million (2023-2028)
  • Table 120. Rest of South America Agricultural Genome, by Application USD Million (2023-2028)
  • Table 121. Rest of South America Agricultural Genome, by Types of genomics USD Million (2023-2028)
  • Table 122. Rest of South America Agricultural Genome, by End User USD Million (2023-2028)
  • Table 123. Asia Pacific Agricultural Genome, by Country USD Million (2023-2028)
  • Table 124. Asia Pacific Agricultural Genome, by Application USD Million (2023-2028)
  • Table 125. Asia Pacific Agricultural Genome, by Types of genomics USD Million (2023-2028)
  • Table 126. Asia Pacific Agricultural Genome, by End User USD Million (2023-2028)
  • Table 127. China Agricultural Genome, by Application USD Million (2023-2028)
  • Table 128. China Agricultural Genome, by Types of genomics USD Million (2023-2028)
  • Table 129. China Agricultural Genome, by End User USD Million (2023-2028)
  • Table 130. Japan Agricultural Genome, by Application USD Million (2023-2028)
  • Table 131. Japan Agricultural Genome, by Types of genomics USD Million (2023-2028)
  • Table 132. Japan Agricultural Genome, by End User USD Million (2023-2028)
  • Table 133. India Agricultural Genome, by Application USD Million (2023-2028)
  • Table 134. India Agricultural Genome, by Types of genomics USD Million (2023-2028)
  • Table 135. India Agricultural Genome, by End User USD Million (2023-2028)
  • Table 136. South Korea Agricultural Genome, by Application USD Million (2023-2028)
  • Table 137. South Korea Agricultural Genome, by Types of genomics USD Million (2023-2028)
  • Table 138. South Korea Agricultural Genome, by End User USD Million (2023-2028)
  • Table 139. Australia Agricultural Genome, by Application USD Million (2023-2028)
  • Table 140. Australia Agricultural Genome, by Types of genomics USD Million (2023-2028)
  • Table 141. Australia Agricultural Genome, by End User USD Million (2023-2028)
  • Table 142. Rest of Asia-Pacific Agricultural Genome, by Application USD Million (2023-2028)
  • Table 143. Rest of Asia-Pacific Agricultural Genome, by Types of genomics USD Million (2023-2028)
  • Table 144. Rest of Asia-Pacific Agricultural Genome, by End User USD Million (2023-2028)
  • Table 145. Europe Agricultural Genome, by Country USD Million (2023-2028)
  • Table 146. Europe Agricultural Genome, by Application USD Million (2023-2028)
  • Table 147. Europe Agricultural Genome, by Types of genomics USD Million (2023-2028)
  • Table 148. Europe Agricultural Genome, by End User USD Million (2023-2028)
  • Table 149. Germany Agricultural Genome, by Application USD Million (2023-2028)
  • Table 150. Germany Agricultural Genome, by Types of genomics USD Million (2023-2028)
  • Table 151. Germany Agricultural Genome, by End User USD Million (2023-2028)
  • Table 152. France Agricultural Genome, by Application USD Million (2023-2028)
  • Table 153. France Agricultural Genome, by Types of genomics USD Million (2023-2028)
  • Table 154. France Agricultural Genome, by End User USD Million (2023-2028)
  • Table 155. Italy Agricultural Genome, by Application USD Million (2023-2028)
  • Table 156. Italy Agricultural Genome, by Types of genomics USD Million (2023-2028)
  • Table 157. Italy Agricultural Genome, by End User USD Million (2023-2028)
  • Table 158. United Kingdom Agricultural Genome, by Application USD Million (2023-2028)
  • Table 159. United Kingdom Agricultural Genome, by Types of genomics USD Million (2023-2028)
  • Table 160. United Kingdom Agricultural Genome, by End User USD Million (2023-2028)
  • Table 161. Netherlands Agricultural Genome, by Application USD Million (2023-2028)
  • Table 162. Netherlands Agricultural Genome, by Types of genomics USD Million (2023-2028)
  • Table 163. Netherlands Agricultural Genome, by End User USD Million (2023-2028)
  • Table 164. Rest of Europe Agricultural Genome, by Application USD Million (2023-2028)
  • Table 165. Rest of Europe Agricultural Genome, by Types of genomics USD Million (2023-2028)
  • Table 166. Rest of Europe Agricultural Genome, by End User USD Million (2023-2028)
  • Table 167. MEA Agricultural Genome, by Country USD Million (2023-2028)
  • Table 168. MEA Agricultural Genome, by Application USD Million (2023-2028)
  • Table 169. MEA Agricultural Genome, by Types of genomics USD Million (2023-2028)
  • Table 170. MEA Agricultural Genome, by End User USD Million (2023-2028)
  • Table 171. Middle East Agricultural Genome, by Application USD Million (2023-2028)
  • Table 172. Middle East Agricultural Genome, by Types of genomics USD Million (2023-2028)
  • Table 173. Middle East Agricultural Genome, by End User USD Million (2023-2028)
  • Table 174. Africa Agricultural Genome, by Application USD Million (2023-2028)
  • Table 175. Africa Agricultural Genome, by Types of genomics USD Million (2023-2028)
  • Table 176. Africa Agricultural Genome, by End User USD Million (2023-2028)
  • Table 177. North America Agricultural Genome, by Country USD Million (2023-2028)
  • Table 178. North America Agricultural Genome, by Application USD Million (2023-2028)
  • Table 179. North America Agricultural Genome, by Types of genomics USD Million (2023-2028)
  • Table 180. North America Agricultural Genome, by End User USD Million (2023-2028)
  • Table 181. United States Agricultural Genome, by Application USD Million (2023-2028)
  • Table 182. United States Agricultural Genome, by Types of genomics USD Million (2023-2028)
  • Table 183. United States Agricultural Genome, by End User USD Million (2023-2028)
  • Table 184. Canada Agricultural Genome, by Application USD Million (2023-2028)
  • Table 185. Canada Agricultural Genome, by Types of genomics USD Million (2023-2028)
  • Table 186. Canada Agricultural Genome, by End User USD Million (2023-2028)
  • Table 187. Mexico Agricultural Genome, by Application USD Million (2023-2028)
  • Table 188. Mexico Agricultural Genome, by Types of genomics USD Million (2023-2028)
  • Table 189. Mexico Agricultural Genome, by End User USD Million (2023-2028)
  • Table 190. Research Programs/Design for This Report
  • Table 191. Key Data Information from Secondary Sources
  • Table 192. 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 Agricultural Genome: by Application USD Million (2017-2022)
  • Figure 5. Global Agricultural Genome: by Types of genomics USD Million (2017-2022)
  • Figure 6. Global Agricultural Genome: by End User USD Million (2017-2022)
  • Figure 7. South America Agricultural Genome Share (%), by Country
  • Figure 8. Asia Pacific Agricultural Genome Share (%), by Country
  • Figure 9. Europe Agricultural Genome Share (%), by Country
  • Figure 10. MEA Agricultural Genome Share (%), by Country
  • Figure 11. North America Agricultural Genome Share (%), by Country
  • Figure 12. Global Agricultural Genome share by Players 2022 (%)
  • Figure 13. Global Agricultural Genome share by Players (Top 3) 2022(%)
  • Figure 14. Global Agricultural Genome share by Players (Top 5) 2022(%)
  • Figure 15. BCG Matrix for key Companies
  • Figure 16. Thermo Fisher Scientific (United States) Revenue, Net Income and Gross profit
  • Figure 17. Thermo Fisher Scientific (United States) Revenue: by Geography 2022
  • Figure 18. Illumina (United States) Revenue, Net Income and Gross profit
  • Figure 19. Illumina (United States) Revenue: by Geography 2022
  • Figure 20. Agilent Technologies (United States) Revenue, Net Income and Gross profit
  • Figure 21. Agilent Technologies (United States) Revenue: by Geography 2022
  • Figure 22. Eurofins (Luxembourg) Revenue, Net Income and Gross profit
  • Figure 23. Eurofins (Luxembourg) Revenue: by Geography 2022
  • Figure 24. Zoetis (United States) Revenue, Net Income and Gross profit
  • Figure 25. Zoetis (United States) Revenue: by Geography 2022
  • Figure 26. LGC Limited (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 27. LGC Limited (United Kingdom) Revenue: by Geography 2022
  • Figure 28. BGI Genomics (Denmark) Revenue, Net Income and Gross profit
  • Figure 29. BGI Genomics (Denmark) Revenue: by Geography 2022
  • Figure 30. Neogen Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 31. Neogen Corporation (United States) Revenue: by Geography 2022
  • Figure 32. Pacific Biosciences (United States) Revenue, Net Income and Gross profit
  • Figure 33. Pacific Biosciences (United States) Revenue: by Geography 2022
  • Figure 34. Global Agricultural Genome: by Application USD Million (2023-2028)
  • Figure 35. Global Agricultural Genome: by Types of genomics USD Million (2023-2028)
  • Figure 36. Global Agricultural Genome: by End User USD Million (2023-2028)
  • Figure 37. South America Agricultural Genome Share (%), by Country
  • Figure 38. Asia Pacific Agricultural Genome Share (%), by Country
  • Figure 39. Europe Agricultural Genome Share (%), by Country
  • Figure 40. MEA Agricultural Genome Share (%), by Country
  • Figure 41. North America Agricultural Genome Share (%), by Country
List of companies from research coverage that are profiled in the study
  • Thermo Fisher Scientific (United States)
  • Illumina (United States)
  • Agilent Technologies (United States)
  • Eurofins (Luxembourg)
  • Zoetis (United States)
  • LGC Limited (United Kingdom)
  • BGI Genomics (Denmark)
  • Neogen Corporation (United States)
  • Pacific Biosciences (United States)
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Jul 2023 219 Pages 94 Tables Base Year: 2022 Coverage: 15+ Companies; 18 Countries

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Frequently Asked Questions (FAQ):

The standard version of the report profiles players such as Thermo Fisher Scientific (United States), Illumina (United States), Agilent Technologies (United States), Eurofins (Luxembourg), Zoetis (United States), LGC Limited (United Kingdom), BGI Genomics (Denmark), Neogen Corporation (United States) and Pacific Biosciences (United States) etc.
The Study can be customized subject to feasibility and data availability. Please connect with our sales representative for further information.
"Technological Innovations In Agriculture Sector " is seen as one of major influencing trends for Agricultural Genome Market during projected period 2022-2028.
The Agricultural Genome market study includes a random mix of players, including both market leaders and some top growing emerging players. Connect with our sales executive to get a complete company list in our research coverage.

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