Global and Regional AI in Agriculture
Global and Regional AI in Agriculture

AI in Agriculture Comprehensive Study by Application (Precision Farming, Livestock Monitoring, Drone Analytics, Agriculture Robots, Other Applications, By), Technology (Machine Learning, Computer Vision, Predictive Analytics), Offerings (Hardware, Software, AI-As-A-Service) Players and Region - Global Market Outlook to 2024

AI in Agriculture Market Segmented into XX Submarkets. | Forecast Years: 2020- 2025 | CAGR: 22.34%  

Feb 2020 Edition 203 Pages 200 Tables & Figures
  • Summary
  • Market Segments
  • Table of Content
  • List of Tables & Figures
  • Companies Mentioned
AI in Agriculture Market Definition
Agricultural AI refers to the 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 the global agriculture AI market.

The market study is broken down, by Application (Precision Farming, Livestock Monitoring, Drone Analytics, Agriculture Robots, Other Applications and By) and major geographies with country level splits. According to AMA, the Global AI in Agriculture market is expected to see growth rate of 22.34%

Research Analyst at AMA estimates that United States Players will contribute to the maximum growth of Global AI in Agriculture market throughout the predicted period.

IBM (United States), John 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 that are part of study coverage. Additionally, the Players which are also part of the research are Granular (United States), Descartes Labs (United States), Prospera (Israel), Mavrx (United States), Awhere (United States), Gamaya (Switzerland), Ec2ce (Spain), Precision Hawk (United States) and Cainthus (Ireland).

Segmentation Overview
AdvanceMarketAnalytics has segmented the market of Global AI in Agriculture market by Type, Application and Region.

On the basis of geography, the market of AI in Agriculture 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). North America region held largest market share in the year 2018. Europe on the other hand stood as second largest market due to the presence of key companies into the region and high technological advancement. If we see Market by Technology, the sub-segment i.e. Machine Learning will boost the AI in Agriculture market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Offerings, the sub-segment i.e. Hardware will boost the AI in Agriculture market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth.

Market Leaders and their expansionary development strategies
Initially, the Global agriculture AI market was showing strategic Monopoly due to the existence 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 products and Newly advanced product launches.
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.


Market Trend
  • Adoption of Advanced Robotic Technology
  • Introduction of IOT based technology

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

Opportunities
  • Huge Opportunity In Untapped Market In Emerging Countries

Restraints
  • High Cost of AI Technology
  • Lack of Understanding


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

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

Customization available in this Study:
The Study can be customized to meet your requirements. Please connect with our representative, who will ensure you get a report that suits your needs.
Data related to EXIM [Export- Import], production & consumption by country or regional level break-up can be provided based on client request**
** Confirmation on availability of data would be informed prior purchase
Report Objectives / Segmentation Covered
By Application
  • Precision Farming
  • Livestock Monitoring
  • Drone Analytics
  • Agriculture Robots
  • Other Applications
  • By
By Technology
  • Machine Learning
  • Computer Vision
  • Predictive Analytics

By Offerings
  • Hardware
  • Software
  • AI-As-A-Service

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
      • 3.2.3. Growing Demand of Agriculture Production
    • 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 AI in Agriculture, by Application, Technology, Offerings and Region (value) (2013-2018)
    • 5.1. Introduction
    • 5.2. Global AI in Agriculture (Value)
      • 5.2.1. Global AI in Agriculture 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. Other Applications
        • 5.2.1.6. By
      • 5.2.2. Global AI in Agriculture 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 AI in Agriculture by: Offerings (Value)
        • 5.2.3.1. Hardware
        • 5.2.3.2. Software
        • 5.2.3.3. AI-As-A-Service
      • 5.2.4. Global AI 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. 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. AI 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 (2018)
    • 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. John 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 AI in Agriculture Sale, by Application, Technology, Offerings and Region (value) (2019-2024)
    • 7.1. Introduction
    • 7.2. Global AI in Agriculture (Value)
      • 7.2.1. Global AI in Agriculture 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. Other Applications
        • 7.2.1.6. By
      • 7.2.2. Global AI in Agriculture 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 AI in Agriculture by: Offerings (Value)
        • 7.2.3.1. Hardware
        • 7.2.3.2. Software
        • 7.2.3.3. AI-As-A-Service
      • 7.2.4. Global AI 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. 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. AI in Agriculture: by Application(USD Million)
  • Table 2. AI in Agriculture Precision Farming , by Region USD Million (2013-2018)
  • Table 3. AI in Agriculture Livestock Monitoring , by Region USD Million (2013-2018)
  • Table 4. AI in Agriculture Drone Analytics , by Region USD Million (2013-2018)
  • Table 5. AI in Agriculture Agriculture Robots , by Region USD Million (2013-2018)
  • Table 6. AI in Agriculture Other Applications , by Region USD Million (2013-2018)
  • Table 7. AI in Agriculture By , by Region USD Million (2013-2018)
  • Table 8. AI in Agriculture: by Technology(USD Million)
  • Table 9. AI in Agriculture Machine Learning , by Region USD Million (2013-2018)
  • Table 10. AI in Agriculture Computer Vision , by Region USD Million (2013-2018)
  • Table 11. AI in Agriculture Predictive Analytics , by Region USD Million (2013-2018)
  • Table 12. AI in Agriculture: by Offerings(USD Million)
  • Table 13. AI in Agriculture Hardware , by Region USD Million (2013-2018)
  • Table 14. AI in Agriculture Software , by Region USD Million (2013-2018)
  • Table 15. AI in Agriculture AI-As-A-Service , by Region USD Million (2013-2018)
  • Table 16. South America AI in Agriculture, by Country USD Million (2013-2018)
  • Table 17. South America AI in Agriculture, by Application USD Million (2013-2018)
  • Table 18. South America AI in Agriculture, by Technology USD Million (2013-2018)
  • Table 19. South America AI in Agriculture, by Offerings USD Million (2013-2018)
  • Table 20. Brazil AI in Agriculture, by Application USD Million (2013-2018)
  • Table 21. Brazil AI in Agriculture, by Technology USD Million (2013-2018)
  • Table 22. Brazil AI in Agriculture, by Offerings USD Million (2013-2018)
  • Table 23. Argentina AI in Agriculture, by Application USD Million (2013-2018)
  • Table 24. Argentina AI in Agriculture, by Technology USD Million (2013-2018)
  • Table 25. Argentina AI in Agriculture, by Offerings USD Million (2013-2018)
  • Table 26. Rest of South America AI in Agriculture, by Application USD Million (2013-2018)
  • Table 27. Rest of South America AI in Agriculture, by Technology USD Million (2013-2018)
  • Table 28. Rest of South America AI in Agriculture, by Offerings USD Million (2013-2018)
  • Table 29. Asia Pacific AI in Agriculture, by Country USD Million (2013-2018)
  • Table 30. Asia Pacific AI in Agriculture, by Application USD Million (2013-2018)
  • Table 31. Asia Pacific AI in Agriculture, by Technology USD Million (2013-2018)
  • Table 32. Asia Pacific AI in Agriculture, by Offerings USD Million (2013-2018)
  • Table 33. China AI in Agriculture, by Application USD Million (2013-2018)
  • Table 34. China AI in Agriculture, by Technology USD Million (2013-2018)
  • Table 35. China AI in Agriculture, by Offerings USD Million (2013-2018)
  • Table 36. Japan AI in Agriculture, by Application USD Million (2013-2018)
  • Table 37. Japan AI in Agriculture, by Technology USD Million (2013-2018)
  • Table 38. Japan AI in Agriculture, by Offerings USD Million (2013-2018)
  • Table 39. India AI in Agriculture, by Application USD Million (2013-2018)
  • Table 40. India AI in Agriculture, by Technology USD Million (2013-2018)
  • Table 41. India AI in Agriculture, by Offerings USD Million (2013-2018)
  • Table 42. South Korea AI in Agriculture, by Application USD Million (2013-2018)
  • Table 43. South Korea AI in Agriculture, by Technology USD Million (2013-2018)
  • Table 44. South Korea AI in Agriculture, by Offerings USD Million (2013-2018)
  • Table 45. Taiwan AI in Agriculture, by Application USD Million (2013-2018)
  • Table 46. Taiwan AI in Agriculture, by Technology USD Million (2013-2018)
  • Table 47. Taiwan AI in Agriculture, by Offerings USD Million (2013-2018)
  • Table 48. Australia AI in Agriculture, by Application USD Million (2013-2018)
  • Table 49. Australia AI in Agriculture, by Technology USD Million (2013-2018)
  • Table 50. Australia AI in Agriculture, by Offerings USD Million (2013-2018)
  • Table 51. Rest of Asia-Pacific AI in Agriculture, by Application USD Million (2013-2018)
  • Table 52. Rest of Asia-Pacific AI in Agriculture, by Technology USD Million (2013-2018)
  • Table 53. Rest of Asia-Pacific AI in Agriculture, by Offerings USD Million (2013-2018)
  • Table 54. Europe AI in Agriculture, by Country USD Million (2013-2018)
  • Table 55. Europe AI in Agriculture, by Application USD Million (2013-2018)
  • Table 56. Europe AI in Agriculture, by Technology USD Million (2013-2018)
  • Table 57. Europe AI in Agriculture, by Offerings USD Million (2013-2018)
  • Table 58. Germany AI in Agriculture, by Application USD Million (2013-2018)
  • Table 59. Germany AI in Agriculture, by Technology USD Million (2013-2018)
  • Table 60. Germany AI in Agriculture, by Offerings USD Million (2013-2018)
  • Table 61. France AI in Agriculture, by Application USD Million (2013-2018)
  • Table 62. France AI in Agriculture, by Technology USD Million (2013-2018)
  • Table 63. France AI in Agriculture, by Offerings USD Million (2013-2018)
  • Table 64. Italy AI in Agriculture, by Application USD Million (2013-2018)
  • Table 65. Italy AI in Agriculture, by Technology USD Million (2013-2018)
  • Table 66. Italy AI in Agriculture, by Offerings USD Million (2013-2018)
  • Table 67. United Kingdom AI in Agriculture, by Application USD Million (2013-2018)
  • Table 68. United Kingdom AI in Agriculture, by Technology USD Million (2013-2018)
  • Table 69. United Kingdom AI in Agriculture, by Offerings USD Million (2013-2018)
  • Table 70. Netherlands AI in Agriculture, by Application USD Million (2013-2018)
  • Table 71. Netherlands AI in Agriculture, by Technology USD Million (2013-2018)
  • Table 72. Netherlands AI in Agriculture, by Offerings USD Million (2013-2018)
  • Table 73. Rest of Europe AI in Agriculture, by Application USD Million (2013-2018)
  • Table 74. Rest of Europe AI in Agriculture, by Technology USD Million (2013-2018)
  • Table 75. Rest of Europe AI in Agriculture, by Offerings USD Million (2013-2018)
  • Table 76. MEA AI in Agriculture, by Country USD Million (2013-2018)
  • Table 77. MEA AI in Agriculture, by Application USD Million (2013-2018)
  • Table 78. MEA AI in Agriculture, by Technology USD Million (2013-2018)
  • Table 79. MEA AI in Agriculture, by Offerings USD Million (2013-2018)
  • Table 80. Middle East AI in Agriculture, by Application USD Million (2013-2018)
  • Table 81. Middle East AI in Agriculture, by Technology USD Million (2013-2018)
  • Table 82. Middle East AI in Agriculture, by Offerings USD Million (2013-2018)
  • Table 83. Africa AI in Agriculture, by Application USD Million (2013-2018)
  • Table 84. Africa AI in Agriculture, by Technology USD Million (2013-2018)
  • Table 85. Africa AI in Agriculture, by Offerings USD Million (2013-2018)
  • Table 86. North America AI in Agriculture, by Country USD Million (2013-2018)
  • Table 87. North America AI in Agriculture, by Application USD Million (2013-2018)
  • Table 88. North America AI in Agriculture, by Technology USD Million (2013-2018)
  • Table 89. North America AI in Agriculture, by Offerings USD Million (2013-2018)
  • Table 90. United States AI in Agriculture, by Application USD Million (2013-2018)
  • Table 91. United States AI in Agriculture, by Technology USD Million (2013-2018)
  • Table 92. United States AI in Agriculture, by Offerings USD Million (2013-2018)
  • Table 93. Canada AI in Agriculture, by Application USD Million (2013-2018)
  • Table 94. Canada AI in Agriculture, by Technology USD Million (2013-2018)
  • Table 95. Canada AI in Agriculture, by Offerings USD Million (2013-2018)
  • Table 96. Mexico AI in Agriculture, by Application USD Million (2013-2018)
  • Table 97. Mexico AI in Agriculture, by Technology USD Million (2013-2018)
  • Table 98. Mexico AI in Agriculture, by Offerings USD Million (2013-2018)
  • Table 99. Company Basic Information, Sales Area and Its Competitors
  • Table 100. Company Basic Information, Sales Area and Its Competitors
  • Table 101. Company Basic Information, Sales Area and Its Competitors
  • Table 102. Company Basic Information, Sales Area and Its Competitors
  • Table 103. Company Basic Information, Sales Area and Its Competitors
  • Table 104. Company Basic Information, Sales Area and Its Competitors
  • Table 105. Company Basic Information, Sales Area and Its Competitors
  • Table 106. Company Basic Information, Sales Area and Its Competitors
  • Table 107. Company Basic Information, Sales Area and Its Competitors
  • Table 108. Company Basic Information, Sales Area and Its Competitors
  • Table 109. AI in Agriculture: by Application(USD Million)
  • Table 110. AI in Agriculture Precision Farming , by Region USD Million (2019-2024)
  • Table 111. AI in Agriculture Livestock Monitoring , by Region USD Million (2019-2024)
  • Table 112. AI in Agriculture Drone Analytics , by Region USD Million (2019-2024)
  • Table 113. AI in Agriculture Agriculture Robots , by Region USD Million (2019-2024)
  • Table 114. AI in Agriculture Other Applications , by Region USD Million (2019-2024)
  • Table 115. AI in Agriculture By , by Region USD Million (2019-2024)
  • Table 116. AI in Agriculture: by Technology(USD Million)
  • Table 117. AI in Agriculture Machine Learning , by Region USD Million (2019-2024)
  • Table 118. AI in Agriculture Computer Vision , by Region USD Million (2019-2024)
  • Table 119. AI in Agriculture Predictive Analytics , by Region USD Million (2019-2024)
  • Table 120. AI in Agriculture: by Offerings(USD Million)
  • Table 121. AI in Agriculture Hardware , by Region USD Million (2019-2024)
  • Table 122. AI in Agriculture Software , by Region USD Million (2019-2024)
  • Table 123. AI in Agriculture AI-As-A-Service , by Region USD Million (2019-2024)
  • Table 124. South America AI in Agriculture, by Country USD Million (2019-2024)
  • Table 125. South America AI in Agriculture, by Application USD Million (2019-2024)
  • Table 126. South America AI in Agriculture, by Technology USD Million (2019-2024)
  • Table 127. South America AI in Agriculture, by Offerings USD Million (2019-2024)
  • Table 128. Brazil AI in Agriculture, by Application USD Million (2019-2024)
  • Table 129. Brazil AI in Agriculture, by Technology USD Million (2019-2024)
  • Table 130. Brazil AI in Agriculture, by Offerings USD Million (2019-2024)
  • Table 131. Argentina AI in Agriculture, by Application USD Million (2019-2024)
  • Table 132. Argentina AI in Agriculture, by Technology USD Million (2019-2024)
  • Table 133. Argentina AI in Agriculture, by Offerings USD Million (2019-2024)
  • Table 134. Rest of South America AI in Agriculture, by Application USD Million (2019-2024)
  • Table 135. Rest of South America AI in Agriculture, by Technology USD Million (2019-2024)
  • Table 136. Rest of South America AI in Agriculture, by Offerings USD Million (2019-2024)
  • Table 137. Asia Pacific AI in Agriculture, by Country USD Million (2019-2024)
  • Table 138. Asia Pacific AI in Agriculture, by Application USD Million (2019-2024)
  • Table 139. Asia Pacific AI in Agriculture, by Technology USD Million (2019-2024)
  • Table 140. Asia Pacific AI in Agriculture, by Offerings USD Million (2019-2024)
  • Table 141. China AI in Agriculture, by Application USD Million (2019-2024)
  • Table 142. China AI in Agriculture, by Technology USD Million (2019-2024)
  • Table 143. China AI in Agriculture, by Offerings USD Million (2019-2024)
  • Table 144. Japan AI in Agriculture, by Application USD Million (2019-2024)
  • Table 145. Japan AI in Agriculture, by Technology USD Million (2019-2024)
  • Table 146. Japan AI in Agriculture, by Offerings USD Million (2019-2024)
  • Table 147. India AI in Agriculture, by Application USD Million (2019-2024)
  • Table 148. India AI in Agriculture, by Technology USD Million (2019-2024)
  • Table 149. India AI in Agriculture, by Offerings USD Million (2019-2024)
  • Table 150. South Korea AI in Agriculture, by Application USD Million (2019-2024)
  • Table 151. South Korea AI in Agriculture, by Technology USD Million (2019-2024)
  • Table 152. South Korea AI in Agriculture, by Offerings USD Million (2019-2024)
  • Table 153. Taiwan AI in Agriculture, by Application USD Million (2019-2024)
  • Table 154. Taiwan AI in Agriculture, by Technology USD Million (2019-2024)
  • Table 155. Taiwan AI in Agriculture, by Offerings USD Million (2019-2024)
  • Table 156. Australia AI in Agriculture, by Application USD Million (2019-2024)
  • Table 157. Australia AI in Agriculture, by Technology USD Million (2019-2024)
  • Table 158. Australia AI in Agriculture, by Offerings USD Million (2019-2024)
  • Table 159. Rest of Asia-Pacific AI in Agriculture, by Application USD Million (2019-2024)
  • Table 160. Rest of Asia-Pacific AI in Agriculture, by Technology USD Million (2019-2024)
  • Table 161. Rest of Asia-Pacific AI in Agriculture, by Offerings USD Million (2019-2024)
  • Table 162. Europe AI in Agriculture, by Country USD Million (2019-2024)
  • Table 163. Europe AI in Agriculture, by Application USD Million (2019-2024)
  • Table 164. Europe AI in Agriculture, by Technology USD Million (2019-2024)
  • Table 165. Europe AI in Agriculture, by Offerings USD Million (2019-2024)
  • Table 166. Germany AI in Agriculture, by Application USD Million (2019-2024)
  • Table 167. Germany AI in Agriculture, by Technology USD Million (2019-2024)
  • Table 168. Germany AI in Agriculture, by Offerings USD Million (2019-2024)
  • Table 169. France AI in Agriculture, by Application USD Million (2019-2024)
  • Table 170. France AI in Agriculture, by Technology USD Million (2019-2024)
  • Table 171. France AI in Agriculture, by Offerings USD Million (2019-2024)
  • Table 172. Italy AI in Agriculture, by Application USD Million (2019-2024)
  • Table 173. Italy AI in Agriculture, by Technology USD Million (2019-2024)
  • Table 174. Italy AI in Agriculture, by Offerings USD Million (2019-2024)
  • Table 175. United Kingdom AI in Agriculture, by Application USD Million (2019-2024)
  • Table 176. United Kingdom AI in Agriculture, by Technology USD Million (2019-2024)
  • Table 177. United Kingdom AI in Agriculture, by Offerings USD Million (2019-2024)
  • Table 178. Netherlands AI in Agriculture, by Application USD Million (2019-2024)
  • Table 179. Netherlands AI in Agriculture, by Technology USD Million (2019-2024)
  • Table 180. Netherlands AI in Agriculture, by Offerings USD Million (2019-2024)
  • Table 181. Rest of Europe AI in Agriculture, by Application USD Million (2019-2024)
  • Table 182. Rest of Europe AI in Agriculture, by Technology USD Million (2019-2024)
  • Table 183. Rest of Europe AI in Agriculture, by Offerings USD Million (2019-2024)
  • Table 184. MEA AI in Agriculture, by Country USD Million (2019-2024)
  • Table 185. MEA AI in Agriculture, by Application USD Million (2019-2024)
  • Table 186. MEA AI in Agriculture, by Technology USD Million (2019-2024)
  • Table 187. MEA AI in Agriculture, by Offerings USD Million (2019-2024)
  • Table 188. Middle East AI in Agriculture, by Application USD Million (2019-2024)
  • Table 189. Middle East AI in Agriculture, by Technology USD Million (2019-2024)
  • Table 190. Middle East AI in Agriculture, by Offerings USD Million (2019-2024)
  • Table 191. Africa AI in Agriculture, by Application USD Million (2019-2024)
  • Table 192. Africa AI in Agriculture, by Technology USD Million (2019-2024)
  • Table 193. Africa AI in Agriculture, by Offerings USD Million (2019-2024)
  • Table 194. North America AI in Agriculture, by Country USD Million (2019-2024)
  • Table 195. North America AI in Agriculture, by Application USD Million (2019-2024)
  • Table 196. North America AI in Agriculture, by Technology USD Million (2019-2024)
  • Table 197. North America AI in Agriculture, by Offerings USD Million (2019-2024)
  • Table 198. United States AI in Agriculture, by Application USD Million (2019-2024)
  • Table 199. United States AI in Agriculture, by Technology USD Million (2019-2024)
  • Table 200. United States AI in Agriculture, by Offerings USD Million (2019-2024)
  • Table 201. Canada AI in Agriculture, by Application USD Million (2019-2024)
  • Table 202. Canada AI in Agriculture, by Technology USD Million (2019-2024)
  • Table 203. Canada AI in Agriculture, by Offerings USD Million (2019-2024)
  • Table 204. Mexico AI in Agriculture, by Application USD Million (2019-2024)
  • Table 205. Mexico AI in Agriculture, by Technology USD Million (2019-2024)
  • Table 206. Mexico AI in Agriculture, by Offerings USD Million (2019-2024)
  • Table 207. Research Programs/Design for This Report
  • Table 208. Key Data Information from Secondary Sources
  • Table 209. 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 AI in Agriculture: by Application USD Million (2013-2018)
  • Figure 5. Global AI in Agriculture: by Technology USD Million (2013-2018)
  • Figure 6. Global AI in Agriculture: by Offerings USD Million (2013-2018)
  • Figure 7. South America AI in Agriculture Share (%), by Country
  • Figure 8. Asia Pacific AI in Agriculture Share (%), by Country
  • Figure 9. Europe AI in Agriculture Share (%), by Country
  • Figure 10. MEA AI in Agriculture Share (%), by Country
  • Figure 11. North America AI in Agriculture Share (%), by Country
  • Figure 12. Global AI in Agriculture share by Players 2018 (%)
  • Figure 13. Global AI in Agriculture share by Players (Top 3) 2018(%)
  • Figure 14. Global AI in Agriculture share by Players (Top 5) 2018(%)
  • 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 2018
  • Figure 18. John Deere Company (United States) Revenue, Net Income and Gross profit
  • Figure 19. John Deere Company (United States) Revenue: by Geography 2018
  • Figure 20. Intel (United States) Revenue, Net Income and Gross profit
  • Figure 21. Intel (United States) Revenue: by Geography 2018
  • Figure 22. Google (United States) Revenue, Net Income and Gross profit
  • Figure 23. Google (United States) Revenue: by Geography 2018
  • Figure 24. Microsoft (United States) Revenue, Net Income and Gross profit
  • Figure 25. Microsoft (United States) Revenue: by Geography 2018
  • Figure 26. NVIDIA Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 27. NVIDIA Corporation (United States) Revenue: by Geography 2018
  • Figure 28. Sentient Technologies (United States) Revenue, Net Income and Gross profit
  • Figure 29. Sentient Technologies (United States) Revenue: by Geography 2018
  • Figure 30. Numenta Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 31. Numenta Inc. (United States) Revenue: by Geography 2018
  • Figure 32. Agribotix (United States) Revenue, Net Income and Gross profit
  • Figure 33. Agribotix (United States) Revenue: by Geography 2018
  • 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 2018
  • Figure 36. Global AI in Agriculture: by Application USD Million (2019-2024)
  • Figure 37. Global AI in Agriculture: by Technology USD Million (2019-2024)
  • Figure 38. Global AI in Agriculture: by Offerings USD Million (2019-2024)
  • Figure 39. South America AI in Agriculture Share (%), by Country
  • Figure 40. Asia Pacific AI in Agriculture Share (%), by Country
  • Figure 41. Europe AI in Agriculture Share (%), by Country
  • Figure 42. MEA AI in Agriculture Share (%), by Country
  • Figure 43. North America AI in Agriculture Share (%), by Country
Some of the key companies/manufacturers profiled in the report
  • IBM (United States)
  • John 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) , Gamaya (Switzerland) , Ec2ce (Spain) , Precision Hawk (United States) , Cainthus (Ireland)
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