Global Big Analytics In Agriculture Market

Big Analytics In Agriculture Comprehensive Study by Type (Satellite Imagery, Soil, Water, And Geospatial Data, Animal Disease Incidence Data, Commodity And Market Data, Generic Data), Application (Plant Breeding, High Throughput Field Phenotyping (HTFP), Bioinformatics, Crop Planning, Grading And Marketing), Technology (Livestock Monitoring Gadgets, Drones, Soil Sensors), End User (Farmers, Agriculture Regulatory Bodies, Weather Forecast, Agrochemical And Farm Equipment Industries) Players and Region - Global Market Outlook to 2027

Big Analytics In Agriculture Market by XX Submarkets | Forecast Years 2022-2027  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
Market Snapshot:
Farmers can use big data to get detailed information on rainfall patterns, water cycles, fertilizer needs, and other topics. This allows them to make informed decisions about what crops to plant and when to harvest for maximum revenue. Farm yields improve as a result of good judgments. In agriculture, data analysis is being used to improve the cost-effectiveness and efficiency of every step of the agricultural lifecycle. At every point of the value chain, the impact can be felt, from crop selection through cultivation method, harvesting, and supply chain management. Farm owners and managers now have access to large amounts of crop data in real time as a result of sensors and linked equipment interacting with one another on the farm. Agriculture is using big data to change livestock care, produce efficient risk assessment modules, democratise the promise of urban farming, and catalyze resource efficiency (land and labor).

Market Drivers
  • Growing Adoption Of Big Data Iot Sensors Transforming Livestock Care
  • The Adoption Of Agriculture Analytics Solution In Large Enterprises

Market Trend
  • Increasing Investments In The Digital Agriculture

Restraints
  • High Cost Associated Of Gathering Precise Field Data


The Big Analytics In Agriculture market framework should serve as a basic structure to support the strategic decision-making process for Players. For instance, the question of whether a Players wants to expand in other areas of the market value chain would fundamentally determines its strategy.

ƒ What is the current setup of the Big Analytics In Agriculture Industry, and what is its growth trajectory through 2027?
ƒ Trends that might impact the resulting strategic moves of the Players
ƒ How can Players take advantage of the changing market dynamics and capture new opportunities lying in Big Analytics In Agriculture market?

The key Players profiled in the report are Microsoft corporation (United States), Wipro Limited (India), IBM Corporation (United States), Oracle Corporation (United States), Moody’s Corporation (United States), Verisk Analystic Inc. (United States), Hewlett Packard Enterprise Development LP (United States), International Centre for Tropical Agriculture (Colombia), NTT Data Corporation (Japan) and QlikTech International AB (United States).

Report Objectives / Segmentation Covered

By Type
  • Satellite Imagery
  • Soil, Water, And Geospatial Data
  • Animal Disease Incidence Data
  • Commodity And Market Data
  • Generic Data
By Application
  • Plant Breeding
  • High Throughput Field Phenotyping (HTFP)
  • Bioinformatics
  • Crop Planning
  • Grading And Marketing
By Technology
  • Livestock Monitoring Gadgets
  • Drones
  • Soil Sensors

By End User
  • Farmers
  • Agriculture Regulatory Bodies
  • Weather Forecast
  • Agrochemical And Farm Equipment Industries

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. Growing Adoption Of Big Data Iot Sensors Transforming Livestock Care
      • 3.2.2. The Adoption Of Agriculture Analytics Solution In Large Enterprises
    • 3.3. Market Challenges
      • 3.3.1. Lack of Technical Awareness Among Farmers
    • 3.4. Market Trends
      • 3.4.1. Increasing Investments In The Digital Agriculture
  • 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 Big Analytics In Agriculture, by Type, Application, Technology , End User and Region (value and price ) (2016-2021)
    • 5.1. Introduction
    • 5.2. Global Big Analytics In Agriculture (Value)
      • 5.2.1. Global Big Analytics In Agriculture by: Type (Value)
        • 5.2.1.1. Satellite Imagery
        • 5.2.1.2. Soil, Water, And Geospatial Data
        • 5.2.1.3. Animal Disease Incidence Data
        • 5.2.1.4. Commodity And Market Data
        • 5.2.1.5. Generic Data
      • 5.2.2. Global Big Analytics In Agriculture by: Application (Value)
        • 5.2.2.1. Plant Breeding
        • 5.2.2.2. High Throughput Field Phenotyping (HTFP)
        • 5.2.2.3. Bioinformatics
        • 5.2.2.4. Crop Planning
        • 5.2.2.5. Grading And Marketing
      • 5.2.3. Global Big Analytics In Agriculture by: End User (Value)
        • 5.2.3.1. Farmers
        • 5.2.3.2. Agriculture Regulatory Bodies
        • 5.2.3.3. Weather Forecast
        • 5.2.3.4. Agrochemical And Farm Equipment Industries
      • 5.2.4. Global Big Analytics In Agriculture 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 Big Analytics In Agriculture (Price)
      • 5.3.1. Global Big Analytics In Agriculture by: Type (Price)
  • 6. Big Analytics In Agriculture: 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. Microsoft corporation (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. Wipro Limited (India)
        • 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. IBM Corporation (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. Oracle Corporation (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. Moody’s Corporation (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. Verisk Analystic Inc. (United States)
        • 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. Hewlett Packard Enterprise Development LP (United States)
        • 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. International Centre for Tropical Agriculture (Colombia)
        • 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. NTT Data Corporation (Japan)
        • 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. QlikTech International AB (United States)
        • 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
  • 7. Global Big Analytics In Agriculture Sale, by Type, Application, Technology , End User and Region (value and price ) (2022-2027)
    • 7.1. Introduction
    • 7.2. Global Big Analytics In Agriculture (Value)
      • 7.2.1. Global Big Analytics In Agriculture by: Type (Value)
        • 7.2.1.1. Satellite Imagery
        • 7.2.1.2. Soil, Water, And Geospatial Data
        • 7.2.1.3. Animal Disease Incidence Data
        • 7.2.1.4. Commodity And Market Data
        • 7.2.1.5. Generic Data
      • 7.2.2. Global Big Analytics In Agriculture by: Application (Value)
        • 7.2.2.1. Plant Breeding
        • 7.2.2.2. High Throughput Field Phenotyping (HTFP)
        • 7.2.2.3. Bioinformatics
        • 7.2.2.4. Crop Planning
        • 7.2.2.5. Grading And Marketing
      • 7.2.3. Global Big Analytics In Agriculture by: End User (Value)
        • 7.2.3.1. Farmers
        • 7.2.3.2. Agriculture Regulatory Bodies
        • 7.2.3.3. Weather Forecast
        • 7.2.3.4. Agrochemical And Farm Equipment Industries
      • 7.2.4. Global Big Analytics In Agriculture 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 Big Analytics In Agriculture (Price)
      • 7.3.1. Global Big Analytics In Agriculture by: Type (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. Big Analytics In Agriculture: by Type(USD Million)
  • Table 2. Big Analytics In Agriculture Satellite Imagery , by Region USD Million (2016-2021)
  • Table 3. Big Analytics In Agriculture Soil, Water, And Geospatial Data , by Region USD Million (2016-2021)
  • Table 4. Big Analytics In Agriculture Animal Disease Incidence Data , by Region USD Million (2016-2021)
  • Table 5. Big Analytics In Agriculture Commodity And Market Data , by Region USD Million (2016-2021)
  • Table 6. Big Analytics In Agriculture Generic Data , by Region USD Million (2016-2021)
  • Table 7. Big Analytics In Agriculture: by Application(USD Million)
  • Table 8. Big Analytics In Agriculture Plant Breeding , by Region USD Million (2016-2021)
  • Table 9. Big Analytics In Agriculture High Throughput Field Phenotyping (HTFP) , by Region USD Million (2016-2021)
  • Table 10. Big Analytics In Agriculture Bioinformatics , by Region USD Million (2016-2021)
  • Table 11. Big Analytics In Agriculture Crop Planning , by Region USD Million (2016-2021)
  • Table 12. Big Analytics In Agriculture Grading And Marketing , by Region USD Million (2016-2021)
  • Table 13. Big Analytics In Agriculture: by End User(USD Million)
  • Table 14. Big Analytics In Agriculture Farmers , by Region USD Million (2016-2021)
  • Table 15. Big Analytics In Agriculture Agriculture Regulatory Bodies , by Region USD Million (2016-2021)
  • Table 16. Big Analytics In Agriculture Weather Forecast , by Region USD Million (2016-2021)
  • Table 17. Big Analytics In Agriculture Agrochemical And Farm Equipment Industries , by Region USD Million (2016-2021)
  • Table 18. South America Big Analytics In Agriculture, by Country USD Million (2016-2021)
  • Table 19. South America Big Analytics In Agriculture, by Type USD Million (2016-2021)
  • Table 20. South America Big Analytics In Agriculture, by Application USD Million (2016-2021)
  • Table 21. South America Big Analytics In Agriculture, by Technology USD Million (2016-2021)
  • Table 22. South America Big Analytics In Agriculture, by End User USD Million (2016-2021)
  • Table 23. Brazil Big Analytics In Agriculture, by Type USD Million (2016-2021)
  • Table 24. Brazil Big Analytics In Agriculture, by Application USD Million (2016-2021)
  • Table 25. Brazil Big Analytics In Agriculture, by Technology USD Million (2016-2021)
  • Table 26. Brazil Big Analytics In Agriculture, by End User USD Million (2016-2021)
  • Table 27. Argentina Big Analytics In Agriculture, by Type USD Million (2016-2021)
  • Table 28. Argentina Big Analytics In Agriculture, by Application USD Million (2016-2021)
  • Table 29. Argentina Big Analytics In Agriculture, by Technology USD Million (2016-2021)
  • Table 30. Argentina Big Analytics In Agriculture, by End User USD Million (2016-2021)
  • Table 31. Rest of South America Big Analytics In Agriculture, by Type USD Million (2016-2021)
  • Table 32. Rest of South America Big Analytics In Agriculture, by Application USD Million (2016-2021)
  • Table 33. Rest of South America Big Analytics In Agriculture, by Technology USD Million (2016-2021)
  • Table 34. Rest of South America Big Analytics In Agriculture, by End User USD Million (2016-2021)
  • Table 35. Asia Pacific Big Analytics In Agriculture, by Country USD Million (2016-2021)
  • Table 36. Asia Pacific Big Analytics In Agriculture, by Type USD Million (2016-2021)
  • Table 37. Asia Pacific Big Analytics In Agriculture, by Application USD Million (2016-2021)
  • Table 38. Asia Pacific Big Analytics In Agriculture, by Technology USD Million (2016-2021)
  • Table 39. Asia Pacific Big Analytics In Agriculture, by End User USD Million (2016-2021)
  • Table 40. China Big Analytics In Agriculture, by Type USD Million (2016-2021)
  • Table 41. China Big Analytics In Agriculture, by Application USD Million (2016-2021)
  • Table 42. China Big Analytics In Agriculture, by Technology USD Million (2016-2021)
  • Table 43. China Big Analytics In Agriculture, by End User USD Million (2016-2021)
  • Table 44. Japan Big Analytics In Agriculture, by Type USD Million (2016-2021)
  • Table 45. Japan Big Analytics In Agriculture, by Application USD Million (2016-2021)
  • Table 46. Japan Big Analytics In Agriculture, by Technology USD Million (2016-2021)
  • Table 47. Japan Big Analytics In Agriculture, by End User USD Million (2016-2021)
  • Table 48. India Big Analytics In Agriculture, by Type USD Million (2016-2021)
  • Table 49. India Big Analytics In Agriculture, by Application USD Million (2016-2021)
  • Table 50. India Big Analytics In Agriculture, by Technology USD Million (2016-2021)
  • Table 51. India Big Analytics In Agriculture, by End User USD Million (2016-2021)
  • Table 52. South Korea Big Analytics In Agriculture, by Type USD Million (2016-2021)
  • Table 53. South Korea Big Analytics In Agriculture, by Application USD Million (2016-2021)
  • Table 54. South Korea Big Analytics In Agriculture, by Technology USD Million (2016-2021)
  • Table 55. South Korea Big Analytics In Agriculture, by End User USD Million (2016-2021)
  • Table 56. Australia Big Analytics In Agriculture, by Type USD Million (2016-2021)
  • Table 57. Australia Big Analytics In Agriculture, by Application USD Million (2016-2021)
  • Table 58. Australia Big Analytics In Agriculture, by Technology USD Million (2016-2021)
  • Table 59. Australia Big Analytics In Agriculture, by End User USD Million (2016-2021)
  • Table 60. Rest of Asia-Pacific Big Analytics In Agriculture, by Type USD Million (2016-2021)
  • Table 61. Rest of Asia-Pacific Big Analytics In Agriculture, by Application USD Million (2016-2021)
  • Table 62. Rest of Asia-Pacific Big Analytics In Agriculture, by Technology USD Million (2016-2021)
  • Table 63. Rest of Asia-Pacific Big Analytics In Agriculture, by End User USD Million (2016-2021)
  • Table 64. Europe Big Analytics In Agriculture, by Country USD Million (2016-2021)
  • Table 65. Europe Big Analytics In Agriculture, by Type USD Million (2016-2021)
  • Table 66. Europe Big Analytics In Agriculture, by Application USD Million (2016-2021)
  • Table 67. Europe Big Analytics In Agriculture, by Technology USD Million (2016-2021)
  • Table 68. Europe Big Analytics In Agriculture, by End User USD Million (2016-2021)
  • Table 69. Germany Big Analytics In Agriculture, by Type USD Million (2016-2021)
  • Table 70. Germany Big Analytics In Agriculture, by Application USD Million (2016-2021)
  • Table 71. Germany Big Analytics In Agriculture, by Technology USD Million (2016-2021)
  • Table 72. Germany Big Analytics In Agriculture, by End User USD Million (2016-2021)
  • Table 73. France Big Analytics In Agriculture, by Type USD Million (2016-2021)
  • Table 74. France Big Analytics In Agriculture, by Application USD Million (2016-2021)
  • Table 75. France Big Analytics In Agriculture, by Technology USD Million (2016-2021)
  • Table 76. France Big Analytics In Agriculture, by End User USD Million (2016-2021)
  • Table 77. Italy Big Analytics In Agriculture, by Type USD Million (2016-2021)
  • Table 78. Italy Big Analytics In Agriculture, by Application USD Million (2016-2021)
  • Table 79. Italy Big Analytics In Agriculture, by Technology USD Million (2016-2021)
  • Table 80. Italy Big Analytics In Agriculture, by End User USD Million (2016-2021)
  • Table 81. United Kingdom Big Analytics In Agriculture, by Type USD Million (2016-2021)
  • Table 82. United Kingdom Big Analytics In Agriculture, by Application USD Million (2016-2021)
  • Table 83. United Kingdom Big Analytics In Agriculture, by Technology USD Million (2016-2021)
  • Table 84. United Kingdom Big Analytics In Agriculture, by End User USD Million (2016-2021)
  • Table 85. Netherlands Big Analytics In Agriculture, by Type USD Million (2016-2021)
  • Table 86. Netherlands Big Analytics In Agriculture, by Application USD Million (2016-2021)
  • Table 87. Netherlands Big Analytics In Agriculture, by Technology USD Million (2016-2021)
  • Table 88. Netherlands Big Analytics In Agriculture, by End User USD Million (2016-2021)
  • Table 89. Rest of Europe Big Analytics In Agriculture, by Type USD Million (2016-2021)
  • Table 90. Rest of Europe Big Analytics In Agriculture, by Application USD Million (2016-2021)
  • Table 91. Rest of Europe Big Analytics In Agriculture, by Technology USD Million (2016-2021)
  • Table 92. Rest of Europe Big Analytics In Agriculture, by End User USD Million (2016-2021)
  • Table 93. MEA Big Analytics In Agriculture, by Country USD Million (2016-2021)
  • Table 94. MEA Big Analytics In Agriculture, by Type USD Million (2016-2021)
  • Table 95. MEA Big Analytics In Agriculture, by Application USD Million (2016-2021)
  • Table 96. MEA Big Analytics In Agriculture, by Technology USD Million (2016-2021)
  • Table 97. MEA Big Analytics In Agriculture, by End User USD Million (2016-2021)
  • Table 98. Middle East Big Analytics In Agriculture, by Type USD Million (2016-2021)
  • Table 99. Middle East Big Analytics In Agriculture, by Application USD Million (2016-2021)
  • Table 100. Middle East Big Analytics In Agriculture, by Technology USD Million (2016-2021)
  • Table 101. Middle East Big Analytics In Agriculture, by End User USD Million (2016-2021)
  • Table 102. Africa Big Analytics In Agriculture, by Type USD Million (2016-2021)
  • Table 103. Africa Big Analytics In Agriculture, by Application USD Million (2016-2021)
  • Table 104. Africa Big Analytics In Agriculture, by Technology USD Million (2016-2021)
  • Table 105. Africa Big Analytics In Agriculture, by End User USD Million (2016-2021)
  • Table 106. North America Big Analytics In Agriculture, by Country USD Million (2016-2021)
  • Table 107. North America Big Analytics In Agriculture, by Type USD Million (2016-2021)
  • Table 108. North America Big Analytics In Agriculture, by Application USD Million (2016-2021)
  • Table 109. North America Big Analytics In Agriculture, by Technology USD Million (2016-2021)
  • Table 110. North America Big Analytics In Agriculture, by End User USD Million (2016-2021)
  • Table 111. United States Big Analytics In Agriculture, by Type USD Million (2016-2021)
  • Table 112. United States Big Analytics In Agriculture, by Application USD Million (2016-2021)
  • Table 113. United States Big Analytics In Agriculture, by Technology USD Million (2016-2021)
  • Table 114. United States Big Analytics In Agriculture, by End User USD Million (2016-2021)
  • Table 115. Canada Big Analytics In Agriculture, by Type USD Million (2016-2021)
  • Table 116. Canada Big Analytics In Agriculture, by Application USD Million (2016-2021)
  • Table 117. Canada Big Analytics In Agriculture, by Technology USD Million (2016-2021)
  • Table 118. Canada Big Analytics In Agriculture, by End User USD Million (2016-2021)
  • Table 119. Mexico Big Analytics In Agriculture, by Type USD Million (2016-2021)
  • Table 120. Mexico Big Analytics In Agriculture, by Application USD Million (2016-2021)
  • Table 121. Mexico Big Analytics In Agriculture, by Technology USD Million (2016-2021)
  • Table 122. Mexico Big Analytics In Agriculture, by End User USD Million (2016-2021)
  • Table 123. Big Analytics In Agriculture: by Type(USD/Units)
  • Table 124. Company Basic Information, Sales Area and Its Competitors
  • Table 125. Company Basic Information, Sales Area and Its Competitors
  • Table 126. Company Basic Information, Sales Area and Its Competitors
  • Table 127. Company Basic Information, Sales Area and Its Competitors
  • Table 128. Company Basic Information, Sales Area and Its Competitors
  • Table 129. Company Basic Information, Sales Area and Its Competitors
  • Table 130. Company Basic Information, Sales Area and Its Competitors
  • Table 131. Company Basic Information, Sales Area and Its Competitors
  • Table 132. Company Basic Information, Sales Area and Its Competitors
  • Table 133. Company Basic Information, Sales Area and Its Competitors
  • Table 134. Big Analytics In Agriculture: by Type(USD Million)
  • Table 135. Big Analytics In Agriculture Satellite Imagery , by Region USD Million (2022-2027)
  • Table 136. Big Analytics In Agriculture Soil, Water, And Geospatial Data , by Region USD Million (2022-2027)
  • Table 137. Big Analytics In Agriculture Animal Disease Incidence Data , by Region USD Million (2022-2027)
  • Table 138. Big Analytics In Agriculture Commodity And Market Data , by Region USD Million (2022-2027)
  • Table 139. Big Analytics In Agriculture Generic Data , by Region USD Million (2022-2027)
  • Table 140. Big Analytics In Agriculture: by Application(USD Million)
  • Table 141. Big Analytics In Agriculture Plant Breeding , by Region USD Million (2022-2027)
  • Table 142. Big Analytics In Agriculture High Throughput Field Phenotyping (HTFP) , by Region USD Million (2022-2027)
  • Table 143. Big Analytics In Agriculture Bioinformatics , by Region USD Million (2022-2027)
  • Table 144. Big Analytics In Agriculture Crop Planning , by Region USD Million (2022-2027)
  • Table 145. Big Analytics In Agriculture Grading And Marketing , by Region USD Million (2022-2027)
  • Table 146. Big Analytics In Agriculture: by End User(USD Million)
  • Table 147. Big Analytics In Agriculture Farmers , by Region USD Million (2022-2027)
  • Table 148. Big Analytics In Agriculture Agriculture Regulatory Bodies , by Region USD Million (2022-2027)
  • Table 149. Big Analytics In Agriculture Weather Forecast , by Region USD Million (2022-2027)
  • Table 150. Big Analytics In Agriculture Agrochemical And Farm Equipment Industries , by Region USD Million (2022-2027)
  • Table 151. South America Big Analytics In Agriculture, by Country USD Million (2022-2027)
  • Table 152. South America Big Analytics In Agriculture, by Type USD Million (2022-2027)
  • Table 153. South America Big Analytics In Agriculture, by Application USD Million (2022-2027)
  • Table 154. South America Big Analytics In Agriculture, by Technology USD Million (2022-2027)
  • Table 155. South America Big Analytics In Agriculture, by End User USD Million (2022-2027)
  • Table 156. Brazil Big Analytics In Agriculture, by Type USD Million (2022-2027)
  • Table 157. Brazil Big Analytics In Agriculture, by Application USD Million (2022-2027)
  • Table 158. Brazil Big Analytics In Agriculture, by Technology USD Million (2022-2027)
  • Table 159. Brazil Big Analytics In Agriculture, by End User USD Million (2022-2027)
  • Table 160. Argentina Big Analytics In Agriculture, by Type USD Million (2022-2027)
  • Table 161. Argentina Big Analytics In Agriculture, by Application USD Million (2022-2027)
  • Table 162. Argentina Big Analytics In Agriculture, by Technology USD Million (2022-2027)
  • Table 163. Argentina Big Analytics In Agriculture, by End User USD Million (2022-2027)
  • Table 164. Rest of South America Big Analytics In Agriculture, by Type USD Million (2022-2027)
  • Table 165. Rest of South America Big Analytics In Agriculture, by Application USD Million (2022-2027)
  • Table 166. Rest of South America Big Analytics In Agriculture, by Technology USD Million (2022-2027)
  • Table 167. Rest of South America Big Analytics In Agriculture, by End User USD Million (2022-2027)
  • Table 168. Asia Pacific Big Analytics In Agriculture, by Country USD Million (2022-2027)
  • Table 169. Asia Pacific Big Analytics In Agriculture, by Type USD Million (2022-2027)
  • Table 170. Asia Pacific Big Analytics In Agriculture, by Application USD Million (2022-2027)
  • Table 171. Asia Pacific Big Analytics In Agriculture, by Technology USD Million (2022-2027)
  • Table 172. Asia Pacific Big Analytics In Agriculture, by End User USD Million (2022-2027)
  • Table 173. China Big Analytics In Agriculture, by Type USD Million (2022-2027)
  • Table 174. China Big Analytics In Agriculture, by Application USD Million (2022-2027)
  • Table 175. China Big Analytics In Agriculture, by Technology USD Million (2022-2027)
  • Table 176. China Big Analytics In Agriculture, by End User USD Million (2022-2027)
  • Table 177. Japan Big Analytics In Agriculture, by Type USD Million (2022-2027)
  • Table 178. Japan Big Analytics In Agriculture, by Application USD Million (2022-2027)
  • Table 179. Japan Big Analytics In Agriculture, by Technology USD Million (2022-2027)
  • Table 180. Japan Big Analytics In Agriculture, by End User USD Million (2022-2027)
  • Table 181. India Big Analytics In Agriculture, by Type USD Million (2022-2027)
  • Table 182. India Big Analytics In Agriculture, by Application USD Million (2022-2027)
  • Table 183. India Big Analytics In Agriculture, by Technology USD Million (2022-2027)
  • Table 184. India Big Analytics In Agriculture, by End User USD Million (2022-2027)
  • Table 185. South Korea Big Analytics In Agriculture, by Type USD Million (2022-2027)
  • Table 186. South Korea Big Analytics In Agriculture, by Application USD Million (2022-2027)
  • Table 187. South Korea Big Analytics In Agriculture, by Technology USD Million (2022-2027)
  • Table 188. South Korea Big Analytics In Agriculture, by End User USD Million (2022-2027)
  • Table 189. Australia Big Analytics In Agriculture, by Type USD Million (2022-2027)
  • Table 190. Australia Big Analytics In Agriculture, by Application USD Million (2022-2027)
  • Table 191. Australia Big Analytics In Agriculture, by Technology USD Million (2022-2027)
  • Table 192. Australia Big Analytics In Agriculture, by End User USD Million (2022-2027)
  • Table 193. Rest of Asia-Pacific Big Analytics In Agriculture, by Type USD Million (2022-2027)
  • Table 194. Rest of Asia-Pacific Big Analytics In Agriculture, by Application USD Million (2022-2027)
  • Table 195. Rest of Asia-Pacific Big Analytics In Agriculture, by Technology USD Million (2022-2027)
  • Table 196. Rest of Asia-Pacific Big Analytics In Agriculture, by End User USD Million (2022-2027)
  • Table 197. Europe Big Analytics In Agriculture, by Country USD Million (2022-2027)
  • Table 198. Europe Big Analytics In Agriculture, by Type USD Million (2022-2027)
  • Table 199. Europe Big Analytics In Agriculture, by Application USD Million (2022-2027)
  • Table 200. Europe Big Analytics In Agriculture, by Technology USD Million (2022-2027)
  • Table 201. Europe Big Analytics In Agriculture, by End User USD Million (2022-2027)
  • Table 202. Germany Big Analytics In Agriculture, by Type USD Million (2022-2027)
  • Table 203. Germany Big Analytics In Agriculture, by Application USD Million (2022-2027)
  • Table 204. Germany Big Analytics In Agriculture, by Technology USD Million (2022-2027)
  • Table 205. Germany Big Analytics In Agriculture, by End User USD Million (2022-2027)
  • Table 206. France Big Analytics In Agriculture, by Type USD Million (2022-2027)
  • Table 207. France Big Analytics In Agriculture, by Application USD Million (2022-2027)
  • Table 208. France Big Analytics In Agriculture, by Technology USD Million (2022-2027)
  • Table 209. France Big Analytics In Agriculture, by End User USD Million (2022-2027)
  • Table 210. Italy Big Analytics In Agriculture, by Type USD Million (2022-2027)
  • Table 211. Italy Big Analytics In Agriculture, by Application USD Million (2022-2027)
  • Table 212. Italy Big Analytics In Agriculture, by Technology USD Million (2022-2027)
  • Table 213. Italy Big Analytics In Agriculture, by End User USD Million (2022-2027)
  • Table 214. United Kingdom Big Analytics In Agriculture, by Type USD Million (2022-2027)
  • Table 215. United Kingdom Big Analytics In Agriculture, by Application USD Million (2022-2027)
  • Table 216. United Kingdom Big Analytics In Agriculture, by Technology USD Million (2022-2027)
  • Table 217. United Kingdom Big Analytics In Agriculture, by End User USD Million (2022-2027)
  • Table 218. Netherlands Big Analytics In Agriculture, by Type USD Million (2022-2027)
  • Table 219. Netherlands Big Analytics In Agriculture, by Application USD Million (2022-2027)
  • Table 220. Netherlands Big Analytics In Agriculture, by Technology USD Million (2022-2027)
  • Table 221. Netherlands Big Analytics In Agriculture, by End User USD Million (2022-2027)
  • Table 222. Rest of Europe Big Analytics In Agriculture, by Type USD Million (2022-2027)
  • Table 223. Rest of Europe Big Analytics In Agriculture, by Application USD Million (2022-2027)
  • Table 224. Rest of Europe Big Analytics In Agriculture, by Technology USD Million (2022-2027)
  • Table 225. Rest of Europe Big Analytics In Agriculture, by End User USD Million (2022-2027)
  • Table 226. MEA Big Analytics In Agriculture, by Country USD Million (2022-2027)
  • Table 227. MEA Big Analytics In Agriculture, by Type USD Million (2022-2027)
  • Table 228. MEA Big Analytics In Agriculture, by Application USD Million (2022-2027)
  • Table 229. MEA Big Analytics In Agriculture, by Technology USD Million (2022-2027)
  • Table 230. MEA Big Analytics In Agriculture, by End User USD Million (2022-2027)
  • Table 231. Middle East Big Analytics In Agriculture, by Type USD Million (2022-2027)
  • Table 232. Middle East Big Analytics In Agriculture, by Application USD Million (2022-2027)
  • Table 233. Middle East Big Analytics In Agriculture, by Technology USD Million (2022-2027)
  • Table 234. Middle East Big Analytics In Agriculture, by End User USD Million (2022-2027)
  • Table 235. Africa Big Analytics In Agriculture, by Type USD Million (2022-2027)
  • Table 236. Africa Big Analytics In Agriculture, by Application USD Million (2022-2027)
  • Table 237. Africa Big Analytics In Agriculture, by Technology USD Million (2022-2027)
  • Table 238. Africa Big Analytics In Agriculture, by End User USD Million (2022-2027)
  • Table 239. North America Big Analytics In Agriculture, by Country USD Million (2022-2027)
  • Table 240. North America Big Analytics In Agriculture, by Type USD Million (2022-2027)
  • Table 241. North America Big Analytics In Agriculture, by Application USD Million (2022-2027)
  • Table 242. North America Big Analytics In Agriculture, by Technology USD Million (2022-2027)
  • Table 243. North America Big Analytics In Agriculture, by End User USD Million (2022-2027)
  • Table 244. United States Big Analytics In Agriculture, by Type USD Million (2022-2027)
  • Table 245. United States Big Analytics In Agriculture, by Application USD Million (2022-2027)
  • Table 246. United States Big Analytics In Agriculture, by Technology USD Million (2022-2027)
  • Table 247. United States Big Analytics In Agriculture, by End User USD Million (2022-2027)
  • Table 248. Canada Big Analytics In Agriculture, by Type USD Million (2022-2027)
  • Table 249. Canada Big Analytics In Agriculture, by Application USD Million (2022-2027)
  • Table 250. Canada Big Analytics In Agriculture, by Technology USD Million (2022-2027)
  • Table 251. Canada Big Analytics In Agriculture, by End User USD Million (2022-2027)
  • Table 252. Mexico Big Analytics In Agriculture, by Type USD Million (2022-2027)
  • Table 253. Mexico Big Analytics In Agriculture, by Application USD Million (2022-2027)
  • Table 254. Mexico Big Analytics In Agriculture, by Technology USD Million (2022-2027)
  • Table 255. Mexico Big Analytics In Agriculture, by End User USD Million (2022-2027)
  • Table 256. Big Analytics In Agriculture: by Type(USD/Units)
  • Table 257. Research Programs/Design for This Report
  • Table 258. Key Data Information from Secondary Sources
  • Table 259. 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 Big Analytics In Agriculture: by Type USD Million (2016-2021)
  • Figure 5. Global Big Analytics In Agriculture: by Application USD Million (2016-2021)
  • Figure 6. Global Big Analytics In Agriculture: by End User USD Million (2016-2021)
  • Figure 7. South America Big Analytics In Agriculture Share (%), by Country
  • Figure 8. Asia Pacific Big Analytics In Agriculture Share (%), by Country
  • Figure 9. Europe Big Analytics In Agriculture Share (%), by Country
  • Figure 10. MEA Big Analytics In Agriculture Share (%), by Country
  • Figure 11. North America Big Analytics In Agriculture Share (%), by Country
  • Figure 12. Global Big Analytics In Agriculture: by Type USD/Units (2016-2021)
  • Figure 13. Global Big Analytics In Agriculture share by Players 2021 (%)
  • Figure 14. Global Big Analytics In Agriculture share by Players (Top 3) 2021(%)
  • Figure 15. Global Big Analytics In Agriculture share by Players (Top 5) 2021(%)
  • Figure 16. BCG Matrix for key Companies
  • Figure 17. Microsoft corporation (United States) Revenue, Net Income and Gross profit
  • Figure 18. Microsoft corporation (United States) Revenue: by Geography 2021
  • Figure 19. Wipro Limited (India) Revenue, Net Income and Gross profit
  • Figure 20. Wipro Limited (India) Revenue: by Geography 2021
  • Figure 21. IBM Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 22. IBM Corporation (United States) Revenue: by Geography 2021
  • Figure 23. Oracle Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 24. Oracle Corporation (United States) Revenue: by Geography 2021
  • Figure 25. Moody’s Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 26. Moody’s Corporation (United States) Revenue: by Geography 2021
  • Figure 27. Verisk Analystic Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 28. Verisk Analystic Inc. (United States) Revenue: by Geography 2021
  • Figure 29. Hewlett Packard Enterprise Development LP (United States) Revenue, Net Income and Gross profit
  • Figure 30. Hewlett Packard Enterprise Development LP (United States) Revenue: by Geography 2021
  • Figure 31. International Centre for Tropical Agriculture (Colombia) Revenue, Net Income and Gross profit
  • Figure 32. International Centre for Tropical Agriculture (Colombia) Revenue: by Geography 2021
  • Figure 33. NTT Data Corporation (Japan) Revenue, Net Income and Gross profit
  • Figure 34. NTT Data Corporation (Japan) Revenue: by Geography 2021
  • Figure 35. QlikTech International AB (United States) Revenue, Net Income and Gross profit
  • Figure 36. QlikTech International AB (United States) Revenue: by Geography 2021
  • Figure 37. Global Big Analytics In Agriculture: by Type USD Million (2022-2027)
  • Figure 38. Global Big Analytics In Agriculture: by Application USD Million (2022-2027)
  • Figure 39. Global Big Analytics In Agriculture: by End User USD Million (2022-2027)
  • Figure 40. South America Big Analytics In Agriculture Share (%), by Country
  • Figure 41. Asia Pacific Big Analytics In Agriculture Share (%), by Country
  • Figure 42. Europe Big Analytics In Agriculture Share (%), by Country
  • Figure 43. MEA Big Analytics In Agriculture Share (%), by Country
  • Figure 44. North America Big Analytics In Agriculture Share (%), by Country
  • Figure 45. Global Big Analytics In Agriculture: by Type USD/Units (2022-2027)
List of companies from research coverage that are profiled in the study
  • Microsoft corporation (United States)
  • Wipro Limited (India)
  • IBM Corporation (United States)
  • Oracle Corporation (United States)
  • Moody’s Corporation (United States)
  • Verisk Analystic Inc. (United States)
  • Hewlett Packard Enterprise Development LP (United States)
  • International Centre for Tropical Agriculture (Colombia)
  • NTT Data Corporation (Japan)
  • QlikTech International AB (United States)
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Key Highlights of Report


Mar 2022 234 Pages 80 Tables Base Year: 2021 Coverage: 15+ Companies; 18 Countries

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Global Big Analytics In Agriculture Market Quantitative research analysis
Global Big Analytics In Agriculture Market Qualitative Industry Analysis
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Frequently Asked Questions (FAQ):

The Big Analytics In Agriculture market is expected to see a CAGR of % during projected year 2021 to 2027.
Top performing companies in the Global Big Analytics In Agriculture market are Microsoft corporation (United States), Wipro Limited (India), IBM Corporation (United States), Oracle Corporation (United States), Moody’s Corporation (United States), Verisk Analystic Inc. (United States), Hewlett Packard Enterprise Development LP (United States), International Centre for Tropical Agriculture (Colombia), NTT Data Corporation (Japan) and QlikTech International AB (United States), to name a few.

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