Global Agricultural AI Market research

Agricultural AI Comprehensive Study by Application (Precision Farming, Livestock Monitoring, Drone Analytics, Agriculture Robots, Others), Technology (Machine Learning, Computer Vision, Predictive Analytics), Component (Hardware, Software, Services) Players and Region - Global Market Outlook to 2026

Agricultural AI Market by XX Submarkets | Forecast Years 2022-2027 | CAGR: 22.34%  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
What is Agricultural AI Market?

Agricultural AI refers to use artificial intelligence in Agriculture. Agricultural AI helps to predict analysis. Fueling Demand artificial intelligence techniques such as Cattle Face Recognition Technology, precision agricultural, drone analytics, agriculture robots, and livestock observing will help to boost global agriculture AI market.

The market study is being classified, by Application (Precision Farming, Livestock Monitoring, Drone Analytics, Agriculture Robots and Others) and major geographies with country level break-up. According to AMA, the Global Agricultural AI market is expected to see growth rate of 22.34%

IBM (United States), Deere & Company (United States), Intel (United States), Google (United States), Microsoft (United States), NVIDIA Corporation (United States), Sentient Technologies (United States), Numenta Inc. (United States), Agribotix (United States) and The Climate Corporation (Subsidiary of Monsanto) (United States) are some of the key players profiled in the study. Additionally, the Players which are also part of the research are Granular (United States), Descartes Labs (United States), Prospera (Israel), Mavrx (United States) and Awhere (United States).

Initially, Global agriculture AI market was showing strategic Monopoly due to presence of some major players such as are Intel Corporation, Google Inc., International Business Machines Corporation, NVIDIA Corporation, Sentient Technologies, Numenta Inc., and Microsoft Corporation. However to gain market share in upcoming year manufacturers have shifted their preferences towards up gradation in old product and New advanced product launches. Research Analyst at AMA predicts that United States Players will contribute to the maximum growth of Global Agricultural AI market throughout the predicted period.

Segment Analysis
Analyst at AMA have segmented the market study of Global Agricultural AI market by Type, Application and Region.

On the basis of geography, the market of Agricultural AI has been segmented into South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, Taiwan, Australia, Rest of Asia-Pacific), Europe (Germany, France, Italy, United Kingdom, Netherlands, Rest of Europe), MEA (Middle East, Africa), North America (United States, Canada, Mexico). Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth.

Market Drivers
  • Rising Demand of Cattle Face Recognition Technology
  • Increasing Dependency on Machine Learning Based Technology

Market Trend
  • Adoption of Advanced Robotic Technology
  • Introduction of IOT Based Technology

Restraints
  • High Cost of AI Technology
  • Lack of Awareness

Opportunities
  • Huge Opportunity In Untapped Market In Emerging Countries
  • Emerging Technology of Chatbots For Assisting Farmers


24th September 2018, IBM Watson and The Weather Company are together for planned and manufactured a suite of agribusiness solutions. Which will help the agriculture industry with AI to make more knowledgeable results about their yields.


Key Target Audience
Agricultural AI Manufactures, Agricultural AI Suppliers, Technology Investors, Private Research Organizations and Consulting Companies., Government Research Institutes and Others

Report Objectives / Segmentation Covered

By Application
  • Precision Farming
  • Livestock Monitoring
  • Drone Analytics
  • Agriculture Robots
  • Others
By Technology
  • Machine Learning
  • Computer Vision
  • Predictive Analytics

By Component
  • Hardware
  • Software
  • Services

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. Rising Demand of Cattle Face Recognition Technology
      • 3.2.2. Increasing Dependency on Machine Learning Based Technology
    • 3.3. Market Trends
      • 3.3.1. Adoption of Advanced Robotic Technology
      • 3.3.2. Introduction of IOT Based Technology
  • 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 AI, by Application, Technology, Component and Region (value) (2015-2020)
    • 5.1. Introduction
    • 5.2. Global Agricultural AI (Value)
      • 5.2.1. Global Agricultural AI by: Application (Value)
        • 5.2.1.1. Precision Farming
        • 5.2.1.2. Livestock Monitoring
        • 5.2.1.3. Drone Analytics
        • 5.2.1.4. Agriculture Robots
        • 5.2.1.5. Others
      • 5.2.2. Global Agricultural AI by: Technology (Value)
        • 5.2.2.1. Machine Learning
        • 5.2.2.2. Computer Vision
        • 5.2.2.3. Predictive Analytics
      • 5.2.3. Global Agricultural AI by: Component (Value)
        • 5.2.3.1. Hardware
        • 5.2.3.2. Software
        • 5.2.3.3. Services
      • 5.2.4. Global Agricultural AI Region
        • 5.2.4.1. South America
          • 5.2.4.1.1. Brazil
          • 5.2.4.1.2. Argentina
          • 5.2.4.1.3. Rest of South America
        • 5.2.4.2. Asia Pacific
          • 5.2.4.2.1. China
          • 5.2.4.2.2. Japan
          • 5.2.4.2.3. India
          • 5.2.4.2.4. South Korea
          • 5.2.4.2.5. Taiwan
          • 5.2.4.2.6. Australia
          • 5.2.4.2.7. Rest of Asia-Pacific
        • 5.2.4.3. Europe
          • 5.2.4.3.1. Germany
          • 5.2.4.3.2. France
          • 5.2.4.3.3. Italy
          • 5.2.4.3.4. United Kingdom
          • 5.2.4.3.5. Netherlands
          • 5.2.4.3.6. Rest of Europe
        • 5.2.4.4. MEA
          • 5.2.4.4.1. Middle East
          • 5.2.4.4.2. Africa
        • 5.2.4.5. North America
          • 5.2.4.5.1. United States
          • 5.2.4.5.2. Canada
          • 5.2.4.5.3. Mexico
  • 6. Agricultural AI: Manufacturers/Players Analysis
    • 6.1. Competitive Landscape
      • 6.1.1. Market Share Analysis
        • 6.1.1.1. Top 3
        • 6.1.1.2. Top 5
    • 6.2. Peer Group Analysis (2020)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. IBM (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. Deere & Company (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. Intel (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. Google (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. Microsoft (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. NVIDIA Corporation (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. Sentient Technologies (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. Numenta Inc. (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. Agribotix (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
      • 6.4.10. The Climate Corporation (Subsidiary of Monsanto) (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 Agricultural AI Sale, by Application, Technology, Component and Region (value) (2021-2026)
    • 7.1. Introduction
    • 7.2. Global Agricultural AI (Value)
      • 7.2.1. Global Agricultural AI by: Application (Value)
        • 7.2.1.1. Precision Farming
        • 7.2.1.2. Livestock Monitoring
        • 7.2.1.3. Drone Analytics
        • 7.2.1.4. Agriculture Robots
        • 7.2.1.5. Others
      • 7.2.2. Global Agricultural AI by: Technology (Value)
        • 7.2.2.1. Machine Learning
        • 7.2.2.2. Computer Vision
        • 7.2.2.3. Predictive Analytics
      • 7.2.3. Global Agricultural AI by: Component (Value)
        • 7.2.3.1. Hardware
        • 7.2.3.2. Software
        • 7.2.3.3. Services
      • 7.2.4. Global Agricultural AI Region
        • 7.2.4.1. South America
          • 7.2.4.1.1. Brazil
          • 7.2.4.1.2. Argentina
          • 7.2.4.1.3. Rest of South America
        • 7.2.4.2. Asia Pacific
          • 7.2.4.2.1. China
          • 7.2.4.2.2. Japan
          • 7.2.4.2.3. India
          • 7.2.4.2.4. South Korea
          • 7.2.4.2.5. Taiwan
          • 7.2.4.2.6. Australia
          • 7.2.4.2.7. Rest of Asia-Pacific
        • 7.2.4.3. Europe
          • 7.2.4.3.1. Germany
          • 7.2.4.3.2. France
          • 7.2.4.3.3. Italy
          • 7.2.4.3.4. United Kingdom
          • 7.2.4.3.5. Netherlands
          • 7.2.4.3.6. Rest of Europe
        • 7.2.4.4. MEA
          • 7.2.4.4.1. Middle East
          • 7.2.4.4.2. Africa
        • 7.2.4.5. North America
          • 7.2.4.5.1. United States
          • 7.2.4.5.2. Canada
          • 7.2.4.5.3. Mexico
  • 8. Appendix
    • 8.1. Acronyms
  • 9. Methodology and Data Source
    • 9.1. Methodology/Research Approach
      • 9.1.1. Research Programs/Design
      • 9.1.2. Market Size Estimation
      • 9.1.3. Market Breakdown and Data Triangulation
    • 9.2. Data Source
      • 9.2.1. Secondary Sources
      • 9.2.2. Primary Sources
    • 9.3. Disclaimer
List of Tables
  • Table 1. Agricultural AI: by Application(USD Million)
  • Table 2. Agricultural AI Precision Farming , by Region USD Million (2015-2020)
  • Table 3. Agricultural AI Livestock Monitoring , by Region USD Million (2015-2020)
  • Table 4. Agricultural AI Drone Analytics , by Region USD Million (2015-2020)
  • Table 5. Agricultural AI Agriculture Robots , by Region USD Million (2015-2020)
  • Table 6. Agricultural AI Others , by Region USD Million (2015-2020)
  • Table 7. Agricultural AI: by Technology(USD Million)
  • Table 8. Agricultural AI Machine Learning , by Region USD Million (2015-2020)
  • Table 9. Agricultural AI Computer Vision , by Region USD Million (2015-2020)
  • Table 10. Agricultural AI Predictive Analytics , by Region USD Million (2015-2020)
  • Table 11. Agricultural AI: by Component(USD Million)
  • Table 12. Agricultural AI Hardware , by Region USD Million (2015-2020)
  • Table 13. Agricultural AI Software , by Region USD Million (2015-2020)
  • Table 14. Agricultural AI Services , by Region USD Million (2015-2020)
  • Table 15. South America Agricultural AI, by Country USD Million (2015-2020)
  • Table 16. South America Agricultural AI, by Application USD Million (2015-2020)
  • Table 17. South America Agricultural AI, by Technology USD Million (2015-2020)
  • Table 18. South America Agricultural AI, by Component USD Million (2015-2020)
  • Table 19. Brazil Agricultural AI, by Application USD Million (2015-2020)
  • Table 20. Brazil Agricultural AI, by Technology USD Million (2015-2020)
  • Table 21. Brazil Agricultural AI, by Component USD Million (2015-2020)
  • Table 22. Argentina Agricultural AI, by Application USD Million (2015-2020)
  • Table 23. Argentina Agricultural AI, by Technology USD Million (2015-2020)
  • Table 24. Argentina Agricultural AI, by Component USD Million (2015-2020)
  • Table 25. Rest of South America Agricultural AI, by Application USD Million (2015-2020)
  • Table 26. Rest of South America Agricultural AI, by Technology USD Million (2015-2020)
  • Table 27. Rest of South America Agricultural AI, by Component USD Million (2015-2020)
  • Table 28. Asia Pacific Agricultural AI, by Country USD Million (2015-2020)
  • Table 29. Asia Pacific Agricultural AI, by Application USD Million (2015-2020)
  • Table 30. Asia Pacific Agricultural AI, by Technology USD Million (2015-2020)
  • Table 31. Asia Pacific Agricultural AI, by Component USD Million (2015-2020)
  • Table 32. China Agricultural AI, by Application USD Million (2015-2020)
  • Table 33. China Agricultural AI, by Technology USD Million (2015-2020)
  • Table 34. China Agricultural AI, by Component USD Million (2015-2020)
  • Table 35. Japan Agricultural AI, by Application USD Million (2015-2020)
  • Table 36. Japan Agricultural AI, by Technology USD Million (2015-2020)
  • Table 37. Japan Agricultural AI, by Component USD Million (2015-2020)
  • Table 38. India Agricultural AI, by Application USD Million (2015-2020)
  • Table 39. India Agricultural AI, by Technology USD Million (2015-2020)
  • Table 40. India Agricultural AI, by Component USD Million (2015-2020)
  • Table 41. South Korea Agricultural AI, by Application USD Million (2015-2020)
  • Table 42. South Korea Agricultural AI, by Technology USD Million (2015-2020)
  • Table 43. South Korea Agricultural AI, by Component USD Million (2015-2020)
  • Table 44. Taiwan Agricultural AI, by Application USD Million (2015-2020)
  • Table 45. Taiwan Agricultural AI, by Technology USD Million (2015-2020)
  • Table 46. Taiwan Agricultural AI, by Component USD Million (2015-2020)
  • Table 47. Australia Agricultural AI, by Application USD Million (2015-2020)
  • Table 48. Australia Agricultural AI, by Technology USD Million (2015-2020)
  • Table 49. Australia Agricultural AI, by Component USD Million (2015-2020)
  • Table 50. Rest of Asia-Pacific Agricultural AI, by Application USD Million (2015-2020)
  • Table 51. Rest of Asia-Pacific Agricultural AI, by Technology USD Million (2015-2020)
  • Table 52. Rest of Asia-Pacific Agricultural AI, by Component USD Million (2015-2020)
  • Table 53. Europe Agricultural AI, by Country USD Million (2015-2020)
  • Table 54. Europe Agricultural AI, by Application USD Million (2015-2020)
  • Table 55. Europe Agricultural AI, by Technology USD Million (2015-2020)
  • Table 56. Europe Agricultural AI, by Component USD Million (2015-2020)
  • Table 57. Germany Agricultural AI, by Application USD Million (2015-2020)
  • Table 58. Germany Agricultural AI, by Technology USD Million (2015-2020)
  • Table 59. Germany Agricultural AI, by Component USD Million (2015-2020)
  • Table 60. France Agricultural AI, by Application USD Million (2015-2020)
  • Table 61. France Agricultural AI, by Technology USD Million (2015-2020)
  • Table 62. France Agricultural AI, by Component USD Million (2015-2020)
  • Table 63. Italy Agricultural AI, by Application USD Million (2015-2020)
  • Table 64. Italy Agricultural AI, by Technology USD Million (2015-2020)
  • Table 65. Italy Agricultural AI, by Component USD Million (2015-2020)
  • Table 66. United Kingdom Agricultural AI, by Application USD Million (2015-2020)
  • Table 67. United Kingdom Agricultural AI, by Technology USD Million (2015-2020)
  • Table 68. United Kingdom Agricultural AI, by Component USD Million (2015-2020)
  • Table 69. Netherlands Agricultural AI, by Application USD Million (2015-2020)
  • Table 70. Netherlands Agricultural AI, by Technology USD Million (2015-2020)
  • Table 71. Netherlands Agricultural AI, by Component USD Million (2015-2020)
  • Table 72. Rest of Europe Agricultural AI, by Application USD Million (2015-2020)
  • Table 73. Rest of Europe Agricultural AI, by Technology USD Million (2015-2020)
  • Table 74. Rest of Europe Agricultural AI, by Component USD Million (2015-2020)
  • Table 75. MEA Agricultural AI, by Country USD Million (2015-2020)
  • Table 76. MEA Agricultural AI, by Application USD Million (2015-2020)
  • Table 77. MEA Agricultural AI, by Technology USD Million (2015-2020)
  • Table 78. MEA Agricultural AI, by Component USD Million (2015-2020)
  • Table 79. Middle East Agricultural AI, by Application USD Million (2015-2020)
  • Table 80. Middle East Agricultural AI, by Technology USD Million (2015-2020)
  • Table 81. Middle East Agricultural AI, by Component USD Million (2015-2020)
  • Table 82. Africa Agricultural AI, by Application USD Million (2015-2020)
  • Table 83. Africa Agricultural AI, by Technology USD Million (2015-2020)
  • Table 84. Africa Agricultural AI, by Component USD Million (2015-2020)
  • Table 85. North America Agricultural AI, by Country USD Million (2015-2020)
  • Table 86. North America Agricultural AI, by Application USD Million (2015-2020)
  • Table 87. North America Agricultural AI, by Technology USD Million (2015-2020)
  • Table 88. North America Agricultural AI, by Component USD Million (2015-2020)
  • Table 89. United States Agricultural AI, by Application USD Million (2015-2020)
  • Table 90. United States Agricultural AI, by Technology USD Million (2015-2020)
  • Table 91. United States Agricultural AI, by Component USD Million (2015-2020)
  • Table 92. Canada Agricultural AI, by Application USD Million (2015-2020)
  • Table 93. Canada Agricultural AI, by Technology USD Million (2015-2020)
  • Table 94. Canada Agricultural AI, by Component USD Million (2015-2020)
  • Table 95. Mexico Agricultural AI, by Application USD Million (2015-2020)
  • Table 96. Mexico Agricultural AI, by Technology USD Million (2015-2020)
  • Table 97. Mexico Agricultural AI, by Component USD Million (2015-2020)
  • 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. Agricultural AI: by Application(USD Million)
  • Table 109. Agricultural AI Precision Farming , by Region USD Million (2021-2026)
  • Table 110. Agricultural AI Livestock Monitoring , by Region USD Million (2021-2026)
  • Table 111. Agricultural AI Drone Analytics , by Region USD Million (2021-2026)
  • Table 112. Agricultural AI Agriculture Robots , by Region USD Million (2021-2026)
  • Table 113. Agricultural AI Others , by Region USD Million (2021-2026)
  • Table 114. Agricultural AI: by Technology(USD Million)
  • Table 115. Agricultural AI Machine Learning , by Region USD Million (2021-2026)
  • Table 116. Agricultural AI Computer Vision , by Region USD Million (2021-2026)
  • Table 117. Agricultural AI Predictive Analytics , by Region USD Million (2021-2026)
  • Table 118. Agricultural AI: by Component(USD Million)
  • Table 119. Agricultural AI Hardware , by Region USD Million (2021-2026)
  • Table 120. Agricultural AI Software , by Region USD Million (2021-2026)
  • Table 121. Agricultural AI Services , by Region USD Million (2021-2026)
  • Table 122. South America Agricultural AI, by Country USD Million (2021-2026)
  • Table 123. South America Agricultural AI, by Application USD Million (2021-2026)
  • Table 124. South America Agricultural AI, by Technology USD Million (2021-2026)
  • Table 125. South America Agricultural AI, by Component USD Million (2021-2026)
  • Table 126. Brazil Agricultural AI, by Application USD Million (2021-2026)
  • Table 127. Brazil Agricultural AI, by Technology USD Million (2021-2026)
  • Table 128. Brazil Agricultural AI, by Component USD Million (2021-2026)
  • Table 129. Argentina Agricultural AI, by Application USD Million (2021-2026)
  • Table 130. Argentina Agricultural AI, by Technology USD Million (2021-2026)
  • Table 131. Argentina Agricultural AI, by Component USD Million (2021-2026)
  • Table 132. Rest of South America Agricultural AI, by Application USD Million (2021-2026)
  • Table 133. Rest of South America Agricultural AI, by Technology USD Million (2021-2026)
  • Table 134. Rest of South America Agricultural AI, by Component USD Million (2021-2026)
  • Table 135. Asia Pacific Agricultural AI, by Country USD Million (2021-2026)
  • Table 136. Asia Pacific Agricultural AI, by Application USD Million (2021-2026)
  • Table 137. Asia Pacific Agricultural AI, by Technology USD Million (2021-2026)
  • Table 138. Asia Pacific Agricultural AI, by Component USD Million (2021-2026)
  • Table 139. China Agricultural AI, by Application USD Million (2021-2026)
  • Table 140. China Agricultural AI, by Technology USD Million (2021-2026)
  • Table 141. China Agricultural AI, by Component USD Million (2021-2026)
  • Table 142. Japan Agricultural AI, by Application USD Million (2021-2026)
  • Table 143. Japan Agricultural AI, by Technology USD Million (2021-2026)
  • Table 144. Japan Agricultural AI, by Component USD Million (2021-2026)
  • Table 145. India Agricultural AI, by Application USD Million (2021-2026)
  • Table 146. India Agricultural AI, by Technology USD Million (2021-2026)
  • Table 147. India Agricultural AI, by Component USD Million (2021-2026)
  • Table 148. South Korea Agricultural AI, by Application USD Million (2021-2026)
  • Table 149. South Korea Agricultural AI, by Technology USD Million (2021-2026)
  • Table 150. South Korea Agricultural AI, by Component USD Million (2021-2026)
  • Table 151. Taiwan Agricultural AI, by Application USD Million (2021-2026)
  • Table 152. Taiwan Agricultural AI, by Technology USD Million (2021-2026)
  • Table 153. Taiwan Agricultural AI, by Component USD Million (2021-2026)
  • Table 154. Australia Agricultural AI, by Application USD Million (2021-2026)
  • Table 155. Australia Agricultural AI, by Technology USD Million (2021-2026)
  • Table 156. Australia Agricultural AI, by Component USD Million (2021-2026)
  • Table 157. Rest of Asia-Pacific Agricultural AI, by Application USD Million (2021-2026)
  • Table 158. Rest of Asia-Pacific Agricultural AI, by Technology USD Million (2021-2026)
  • Table 159. Rest of Asia-Pacific Agricultural AI, by Component USD Million (2021-2026)
  • Table 160. Europe Agricultural AI, by Country USD Million (2021-2026)
  • Table 161. Europe Agricultural AI, by Application USD Million (2021-2026)
  • Table 162. Europe Agricultural AI, by Technology USD Million (2021-2026)
  • Table 163. Europe Agricultural AI, by Component USD Million (2021-2026)
  • Table 164. Germany Agricultural AI, by Application USD Million (2021-2026)
  • Table 165. Germany Agricultural AI, by Technology USD Million (2021-2026)
  • Table 166. Germany Agricultural AI, by Component USD Million (2021-2026)
  • Table 167. France Agricultural AI, by Application USD Million (2021-2026)
  • Table 168. France Agricultural AI, by Technology USD Million (2021-2026)
  • Table 169. France Agricultural AI, by Component USD Million (2021-2026)
  • Table 170. Italy Agricultural AI, by Application USD Million (2021-2026)
  • Table 171. Italy Agricultural AI, by Technology USD Million (2021-2026)
  • Table 172. Italy Agricultural AI, by Component USD Million (2021-2026)
  • Table 173. United Kingdom Agricultural AI, by Application USD Million (2021-2026)
  • Table 174. United Kingdom Agricultural AI, by Technology USD Million (2021-2026)
  • Table 175. United Kingdom Agricultural AI, by Component USD Million (2021-2026)
  • Table 176. Netherlands Agricultural AI, by Application USD Million (2021-2026)
  • Table 177. Netherlands Agricultural AI, by Technology USD Million (2021-2026)
  • Table 178. Netherlands Agricultural AI, by Component USD Million (2021-2026)
  • Table 179. Rest of Europe Agricultural AI, by Application USD Million (2021-2026)
  • Table 180. Rest of Europe Agricultural AI, by Technology USD Million (2021-2026)
  • Table 181. Rest of Europe Agricultural AI, by Component USD Million (2021-2026)
  • Table 182. MEA Agricultural AI, by Country USD Million (2021-2026)
  • Table 183. MEA Agricultural AI, by Application USD Million (2021-2026)
  • Table 184. MEA Agricultural AI, by Technology USD Million (2021-2026)
  • Table 185. MEA Agricultural AI, by Component USD Million (2021-2026)
  • Table 186. Middle East Agricultural AI, by Application USD Million (2021-2026)
  • Table 187. Middle East Agricultural AI, by Technology USD Million (2021-2026)
  • Table 188. Middle East Agricultural AI, by Component USD Million (2021-2026)
  • Table 189. Africa Agricultural AI, by Application USD Million (2021-2026)
  • Table 190. Africa Agricultural AI, by Technology USD Million (2021-2026)
  • Table 191. Africa Agricultural AI, by Component USD Million (2021-2026)
  • Table 192. North America Agricultural AI, by Country USD Million (2021-2026)
  • Table 193. North America Agricultural AI, by Application USD Million (2021-2026)
  • Table 194. North America Agricultural AI, by Technology USD Million (2021-2026)
  • Table 195. North America Agricultural AI, by Component USD Million (2021-2026)
  • Table 196. United States Agricultural AI, by Application USD Million (2021-2026)
  • Table 197. United States Agricultural AI, by Technology USD Million (2021-2026)
  • Table 198. United States Agricultural AI, by Component USD Million (2021-2026)
  • Table 199. Canada Agricultural AI, by Application USD Million (2021-2026)
  • Table 200. Canada Agricultural AI, by Technology USD Million (2021-2026)
  • Table 201. Canada Agricultural AI, by Component USD Million (2021-2026)
  • Table 202. Mexico Agricultural AI, by Application USD Million (2021-2026)
  • Table 203. Mexico Agricultural AI, by Technology USD Million (2021-2026)
  • Table 204. Mexico Agricultural AI, by Component USD Million (2021-2026)
  • Table 205. Research Programs/Design for This Report
  • Table 206. Key Data Information from Secondary Sources
  • Table 207. 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 AI: by Application USD Million (2015-2020)
  • Figure 5. Global Agricultural AI: by Technology USD Million (2015-2020)
  • Figure 6. Global Agricultural AI: by Component USD Million (2015-2020)
  • Figure 7. South America Agricultural AI Share (%), by Country
  • Figure 8. Asia Pacific Agricultural AI Share (%), by Country
  • Figure 9. Europe Agricultural AI Share (%), by Country
  • Figure 10. MEA Agricultural AI Share (%), by Country
  • Figure 11. North America Agricultural AI Share (%), by Country
  • Figure 12. Global Agricultural AI share by Players 2020 (%)
  • Figure 13. Global Agricultural AI share by Players (Top 3) 2020(%)
  • Figure 14. Global Agricultural AI share by Players (Top 5) 2020(%)
  • Figure 15. BCG Matrix for key Companies
  • Figure 16. IBM (United States) Revenue, Net Income and Gross profit
  • Figure 17. IBM (United States) Revenue: by Geography 2020
  • Figure 18. Deere & Company (United States) Revenue, Net Income and Gross profit
  • Figure 19. Deere & Company (United States) Revenue: by Geography 2020
  • Figure 20. Intel (United States) Revenue, Net Income and Gross profit
  • Figure 21. Intel (United States) Revenue: by Geography 2020
  • Figure 22. Google (United States) Revenue, Net Income and Gross profit
  • Figure 23. Google (United States) Revenue: by Geography 2020
  • Figure 24. Microsoft (United States) Revenue, Net Income and Gross profit
  • Figure 25. Microsoft (United States) Revenue: by Geography 2020
  • Figure 26. NVIDIA Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 27. NVIDIA Corporation (United States) Revenue: by Geography 2020
  • Figure 28. Sentient Technologies (United States) Revenue, Net Income and Gross profit
  • Figure 29. Sentient Technologies (United States) Revenue: by Geography 2020
  • Figure 30. Numenta Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 31. Numenta Inc. (United States) Revenue: by Geography 2020
  • Figure 32. Agribotix (United States) Revenue, Net Income and Gross profit
  • Figure 33. Agribotix (United States) Revenue: by Geography 2020
  • Figure 34. The Climate Corporation (Subsidiary of Monsanto) (United States) Revenue, Net Income and Gross profit
  • Figure 35. The Climate Corporation (Subsidiary of Monsanto) (United States) Revenue: by Geography 2020
  • Figure 36. Global Agricultural AI: by Application USD Million (2021-2026)
  • Figure 37. Global Agricultural AI: by Technology USD Million (2021-2026)
  • Figure 38. Global Agricultural AI: by Component USD Million (2021-2026)
  • Figure 39. South America Agricultural AI Share (%), by Country
  • Figure 40. Asia Pacific Agricultural AI Share (%), by Country
  • Figure 41. Europe Agricultural AI Share (%), by Country
  • Figure 42. MEA Agricultural AI Share (%), by Country
  • Figure 43. North America Agricultural AI Share (%), by Country
List of companies from research coverage that are profiled in the study
  • IBM (United States)
  • Deere & Company (United States)
  • Intel (United States)
  • Google (United States)
  • Microsoft (United States)
  • NVIDIA Corporation (United States)
  • Sentient Technologies (United States)
  • Numenta Inc. (United States)
  • Agribotix (United States)
  • The Climate Corporation (Subsidiary of Monsanto) (United States)
Additional players considered in the study are as follows:
Granular (United States) , Descartes Labs (United States) , Prospera (Israel) , Mavrx (United States) , Awhere (United States)
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May 2021 170 Pages 60 Tables Base Year: 2021 Coverage: 15+ Companies; 18 Countries

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Global Agricultural AI Market research Quantitative research analysis
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