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Market Research Report

AI in Agriculture Market Research Report: By Type, Technology, Application - Global Industry Analysis and Growth Forecast to 2030

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AI in Agriculture Market Research Report: By Type, Technology, Application - Global Industry Analysis and Growth Forecast to 2030
Published: August 1, 2020 Content info: 179 Pages
Description

Title:
AI in Agriculture Market Research Report: By Type (Product, Service), Technology (Machine Learning, Predictive Analytics, Computer Vision), Application (Precision Farming, Agricultural Robots, Livestock Monitoring, Drone Analytics) - Global Industry Analysis and Growth Forecast to 2030.

As the population across the globe has been growing, the demand for agricultural products has been growing as well. Countries including Brazil, India, China, and the U.S. are witnessing high demand for food products, owing to rapid urbanization, increasing disposable income, and changing consumption habits of the growing population. In order to cater to the needs of this increasing population, the agriculture industry has been making use of advanced technologies, including the artificial intelligence (AI), for increasing efficiency and productivity on fields.

Attributed to this, the global AI in agriculture market is expected to register substantial growth in the near future. By making use of AI, farmers can monitor their live-stock in real-time. AI solutions including, image classification with body condition score and feeding patterns and facial recognition for livestock, dairy farms can now individually monitor the behavioral aspects of animals. In addition to this, farmers are using machine vision, which aids them in recognizing facial features and hide patterns.

Farmers are also able to monitor water and food intake of livestock and record their body temperature and behavior. It is because of such advantages of AI that its demand in the agricultural sector is increasing at a rapid pace. According to a research conducted by P&S Intelligence, the global AI in agriculture market is predicted to generate a revenue of $8,379.5, increasing from $852.2 million, and is expected to witness a 24.8% CAGR during the forecast period (2020-2030).

On the basis of type, the market is divided into services and product, between which, the product division accounted for the major share of the market in 2019, owing to the growing use of AI-based software. The division is further categorized into software and hardware, between which, the hardware category held the larger share of the market in the past. The demand for data storage devices, sensing systems, and automation & control systems is increasing for farm operations.

The service division is predicted to register the faster growth during the forecast period, because of the increasing adoption of AI solutions in the agricultural sector, which is creating high demand for proper maintenance, installation, and training services among industry stakeholders and farmers. The division is further categorized into professional and managed, between which, the professional category is projected to progress at a faster pace during the forecast period. This is due to the rising need for training, support, and maintenance services by farmers.

North America emerged as the largest AI in agriculture market during the forecast period (2014-2019) and is further expected to hold the largest share of the market during the forecast period as well. The early adoption of advanced technologies, including computer vision and machine learning, for different agricultural applications, such as livestock management, precision farming, soil management, and greenhouse management. Furthermore, the growing adoption of IoT is also leading to the growth of the regional market.

Hence, the market is being driven by the need for increasing productivity on agricultural fields and rising need for real-time monitoring of livestock.

Table of Contents
Product Code: IM10828

Table of Contents

Chapter 1. Research Background

  • 1.1 Research Objectives
  • 1.2 Market Definition
  • 1.3 Research Scope
    • 1.3.1 Market Segmentation by Type
    • 1.3.2 Market Segmentation by Technology
    • 1.3.3 Market Segmentation by Application
    • 1.3.4 Market Segmentation by Region
    • 1.3.5 Analysis Period
    • 1.3.6 Market Data Reporting Unit
      • 1.3.6.1 Value
  • 1.4 Key Stakeholders

Chapter 2. Research Methodology

  • 2.1 Secondary Research
  • 2.2 Primary Research
    • 2.2.1 Breakdown of Primary Research Respondents
      • 2.2.1.1 By region
      • 2.2.1.2 By industry participant
      • 2.2.1.3 By company type
  • 2.3 Market Size Estimation
  • 2.4 Data Triangulation
  • 2.5 Assumptions for the Study

Chapter 3. Executive Summary

  • 3.1 Voice of Industry Experts/KOLs

Chapter 4. Introduction

  • 4.1 Definition of Market Segments
    • 4.1.1 By Type
      • 4.1.1.1 Product
        • 4.1.1.1.1 Hardware
        • 4.1.1.1.2 Software
      • 4.1.1.2 Service
        • 4.1.1.2.1 Professional
        • 4.1.1.2.2 Managed
    • 4.1.2 By Technology
      • 4.1.2.1 Machine learning
      • 4.1.2.2 Computer vision
      • 4.1.2.3 Predictive analytics
    • 4.1.3 By Application
      • 4.1.3.1 Agricultural robots
      • 4.1.3.2 Precision farming
      • 4.1.3.3 Drone analytics
      • 4.1.3.4 Livestock monitoring
      • 4.1.3.5 Others
  • 4.2 Value Chain Analysis
  • 4.3 Market Dynamics
    • 4.3.1 Trends
      • 4.3.1.1 Increasing use of robotics in agriculture
      • 4.3.1.2 Increasing use of smart sensors in agriculture
    • 4.3.2 Drivers
      • 4.3.2.1 Growing demand for agricultural production
      • 4.3.2.2 Rising adoption of internet of things (IoT)
      • 4.3.2.3 Increasing demand for monitoring of livestock
      • 4.3.2.4 Increasing demand for drones in agricultural farms
      • 4.3.2.5 Impact analysis of drivers on market forecast
    • 4.3.3 Restraints
      • 4.3.3.1 Lack of awareness and high cost of AI solutions
      • 4.3.3.2 Impact analysis of restraints on market forecast
    • 4.3.4 Opportunities
      • 4.3.4.1 Growth opportunities from developing countries
      • 4.3.4.2 AI powered chatbots
  • 4.4 Impact of COVID-19 on AI in Agriculture Market
    • 4.4.1 Current Scenario
    • 4.4.2 COVID-19 Scenario
    • 4.4.3 Future Scenario
  • 4.5 Porter's Five Forces Analysis
    • 4.5.1 Bargaining Power of Buyers
    • 4.5.2 Bargaining Power of Suppliers
    • 4.5.3 Threat of New Entrants
    • 4.5.4 Intensity of Rivalry
    • 4.5.5 Threat of Substitutes

Chapter 5. Global Market Size and Forecast

  • 5.1 By Type
    • 5.1.1 Product, by Type
    • 5.1.2 Service, by type
  • 5.2 By Technology
  • 5.3 By Application
  • 5.4 By Region

Chapter 6. North America Market Size and Forecast

  • 6.1 By Type
    • 6.1.1 Product, by type
    • 6.1.2 Service, by type
  • 6.2 By Technology
  • 6.3 By Application
  • 6.4 By Country

Chapter 7. Europe Market Size and Forecast

  • 7.1 By Type
    • 7.1.1 Product, by type
    • 7.1.2 Service, by type
  • 7.2 By Technology
  • 7.3 By Application
  • 7.4 By Country

Chapter 8. APAC Market Size and Forecast

  • 8.1 By Type
    • 8.1.1 Product, by type
    • 8.1.2 Service, by type
  • 8.2 By Technology
  • 8.3 By Application
  • 8.4 By Country

Chapter 9. LATAM Market Size and Forecast

  • 9.1 By Type
    • 9.1.1 Product, by type
    • 9.1.2 Service, by type
  • 9.2 By Technology
  • 9.3 By Application
  • 9.4 By Country

Chapter 10. MEA Market Size and Forecast

  • 10.1 By Type
    • 10.1.1 Product, by type
    • 10.1.2 Service, by type
  • 10.2 By Technology
  • 10.3 By Application
  • 10.4 By Country

Chapter 11. Major Countries

  • 11.1 U.S. AI in Agriculture Market
    • 11.1.1 U.S. AI in Agriculture Market, by Application
  • 11.2 U.K. AI in Agriculture Market
    • 11.2.1 U.K. AI in Agriculture Market, by Application
  • 11.3 Germany AI in Agriculture Market
    • 11.3.1 Germany AI in Agriculture Market, by Application
  • 11.4 China AI in Agriculture Market
    • 11.4.1 China AI in Agriculture Market, by Application
  • 11.5 Japan AI in Agriculture Market
    • 11.5.1 Japan AI in Agriculture Market, by Application

Chapter 12. Competitive Landscape

  • 12.1 Analysis of Key Players in the Market
  • 12.2 List of Key Players and Their Offerings
  • 12.3 Competitive Benchmarking of Key Players
  • 12.4 Global Strategic Developments of Key Players
    • 12.4.1 Mergers and Acquisitions
    • 12.4.2 Product Launches
    • 12.4.3 Partnerships

Chapter 13. Company Profiles

  • 13.1 IBM Corporation
    • 13.1.1 Business Overview
    • 13.1.2 Product and Service Offerings
    • 13.1.3 Key Financial Summary
  • 13.2 Microsoft Corporation
    • 13.2.1 Business Overview
    • 13.2.2 Product and Service Offerings
    • 13.2.3 Key Financial Summary
  • 13.3 Bayer AG
    • 13.3.1 Business Overview
    • 13.3.2 Product and Service Offerings
    • 13.3.3 Key Financial Summary
  • 13.4 Deere & Company
    • 13.4.1 Business Overview
    • 13.4.2 Product and Service Offerings
    • 13.4.3 Key Financial Summary
  • 13.5 A.A.A Taranis Visual Ltd.
    • 13.5.1 Business Overview
    • 13.5.2 Product and Service Offerings
  • 13.6 AgEagle Aerial Systems Inc.
    • 13.6.1 Business Overview
    • 13.6.2 Product and Service Offerings
    • 13.6.3 Key Financial Summary
  • 13.7 AGCO Corporation
    • 13.7.1 Business Overview
    • 13.7.2 Product and Service Offerings
    • 13.7.3 Key Financial Summary
  • 13.8 Raven Industries Inc.
    • 13.8.1 Business Overview
    • 13.8.2 Product and Service Offerings
    • 13.8.3 Key Financial Summary
  • 13.9 Ag Leader Technology
    • 13.9.1 Business Overview
    • 13.9.2 Product and Service Offerings
  • 13.10 Trimble Inc.
    • 13.10.1 Business Overview
    • 13.10.2 Product and Service Offerings
    • 13.10.3 Key Financial Summary
  • 13.11 Google LLC
    • 13.11.1 Business Overview
    • 13.11.2 Product and Service Offerings
  • 13.12 Gamaya SA
    • 13.12.1 Business Overview
    • 13.12.2 Product and Service Offerings
  • 13.13 Granular Inc.
    • 13.13.1 Business Overview
    • 13.13.2 Product and Service Offerings

Chapter 14. Appendix

  • 14.1 Abbreviations
  • 14.2 Sources and References
  • 14.3 Related Reports

List of Tables

  • TABLE 1 ANALYSIS PERIOD OF THE STUDY
  • TABLE 2 DRIVERS FOR THE MARKET: IMPACT ANALYSIS
  • TABLE 3 RESTRAINTS FOR THE MARKET: IMPACT ANALYSIS
  • TABLE 4 COVID-19 IMPACT ANALYSIS ON DIFFERENT SECTORS
  • TABLE 5 GLOBAL AI IN AGRICULTURE MARKET, BY TYPE, $M (2014-2019)
  • TABLE 6 GLOBAL AI IN AGRICULTURE MARKET, BY TYPE, $M (2020-2030)
  • TABLE 7 GLOBAL AI IN AGRICULTURE PRODUCT MARKET, BY TYPE, $M (2014-2019)
  • TABLE 8 GLOBAL AI IN AGRICULTURE PRODUCT MARKET, BY TYPE, $M (2020-2030)
  • TABLE 9 GLOBAL AI IN AGRICULTURE SERVICE MARKET, BY TYPE, $M (2014-2019)
  • TABLE 10 GLOBAL AI IN AGRICULTURE SERVICE MARKET, BY TYPE, $M (2020-2030)
  • TABLE 11 GLOBAL AI IN AGRICULTURE MARKET, BY TECHNOLOGY, $M (2014-2019)
  • TABLE 12 GLOBAL AI IN AGRICULTURE MARKET, BY TECHNOLOGY, $M (2020-2030)
  • TABLE 13 GLOBAL AI IN AGRICULTURE MARKET, BY APPLICATION, $M (2014-2019)
  • TABLE 14 GLOBAL AI IN AGRICULTURE MARKET, BY APPLICATION, $M (2020-2030)
  • TABLE 15 GLOBAL AI IN AGRICULTURE MARKET, BY REGION, $M (2014-2019)
  • TABLE 16 GLOBAL AI IN AGRICULTURE MARKET, BY REGION, $M (2020-2030)
  • TABLE 17 NORTH AMERICA AI IN AGRICULTURE MARKET, BY TYPE, $M (2014-2019)
  • TABLE 18 NORTH AMERICA AI IN AGRICULTURE MARKET, BY TYPE, $M (2020-2030)
  • TABLE 19 NORTH AMERICA AI IN AGRICULTURE PRODUCT MARKET, BY TYPE, $M (2014-2019)
  • TABLE 20 NORTH AMERICA AI IN AGRICULTURE PRODUCT MARKET, BY TYPE, $M (2020-2030)
  • TABLE 21 NORTH AMERICA AI IN AGRICULTURE SERVICE MARKET, BY TYPE, $M (2014-2019)
  • TABLE 22 NORTH AMERICA AI IN AGRICULTURE SERVICE MARKET, BY TYPE, $M (2020-2030)
  • TABLE 23 NORTH AMERICA AI IN AGRICULTURE MARKET, BY TECHNOLOGY, $M (2014-2019)
  • TABLE 24 NORTH AMERICA AI IN AGRICULTURE MARKET, BY TECHNOLOGY, $M (2020-2030)
  • TABLE 25 NORTH AMERICA AI IN AGRICULTURE MARKET, BY APPLICATION, $M (2014-2019)
  • TABLE 26 NORTH AMERICA AI IN AGRICULTURE MARKET, BY APPLICATION, $M (2020-2030)
  • TABLE 27 NORTH AMERICA AI IN AGRICULTURE MARKET, BY COUNTRY, $M (2014-2019)
  • TABLE 28 NORTH AMERICA AI IN AGRICULTURE MARKET, BY COUNTRY, $M (2020-2030)
  • TABLE 29 EUROPE AI IN AGRICULTURE MARKET, BY TYPE, $M (2014-2019)
  • TABLE 30 EUROPE AI IN AGRICULTURE MARKET, BY TYPE, $M (2020-2030)
  • TABLE 31 EUROPE AI IN AGRICULTURE PRODUCT MARKET, BY TYPE, $M (2014-2019)
  • TABLE 32 EUROPE AI IN AGRICULTURE PRODUCT MARKET, BY TYPE, $M (2020-2030)
  • TABLE 33 EUROPE AI IN AGRICULTURE SERVICE MARKET, BY TYPE, $M (2014-2019)
  • TABLE 34 EUROPE AI IN AGRICULTURE SERVICE MARKET, BY TYPE, $M (2020-2030)
  • TABLE 35 EUROPE AI IN AGRICULTURE MARKET, BY TECHNOLOGY, $M (2014-2019)
  • TABLE 36 EUROPE AI IN AGRICULTURE MARKET, BY TECHNOLOGY, $M (2020-2030)
  • TABLE 37 EUROPE AI IN AGRICULTURE MARKET, BY APPLICATION, $M (2014-2019)
  • TABLE 38 EUROPE AI IN AGRICULTURE MARKET, BY APPLICATION, $M (2020-2030)
  • TABLE 39 EUROPE AI IN AGRICULTURE MARKET, BY COUNTRY, $M (2014-2019)
  • TABLE 40 EUROPE AI IN AGRICULTURE MARKET, BY COUNTRY, $M (2020-2030)
  • TABLE 41 APAC AI IN AGRICULTURE MARKET, BY TYPE, $M (2014-2019)
  • TABLE 42 APAC AI IN AGRICULTURE MARKET, BY TYPE, $M (2020-2030)
  • TABLE 43 APAC AI IN AGRICULTURE PRODUCT MARKET, BY TYPE, $M (2014-2019)
  • TABLE 44 APAC AI IN AGRICULTURE PRODUCT MARKET, BY TYPE, $M (2020-2030)
  • TABLE 45 APAC AI IN AGRICULTURE SERVICE MARKET, BY TYPE, $M (2014-2019)
  • TABLE 46 APAC AI IN AGRICULTURE SERVICE MARKET, BY TYPE, $M (2020-2030)
  • TABLE 47 APAC AI IN AGRICULTURE MARKET, BY TECHNOLOGY, $M (2014-2019)
  • TABLE 48 APAC AI IN AGRICULTURE MARKET, BY TECHNOLOGY, $M (2020-2030)
  • TABLE 49 APAC AI IN AGRICULTURE MARKET, BY APPLICATION, $M (2014-2019)
  • TABLE 50 APAC AI IN AGRICULTURE MARKET, BY APPLICATION, $M (2020-2030)
  • TABLE 51 APAC AI IN AGRICULTURE MARKET, BY COUNTRY, $M (2014-2019)
  • TABLE 52 APAC AI IN AGRICULTURE MARKET, BY COUNTRY, $M (2020-2030)
  • TABLE 53 LATAM AI IN AGRICULTURE MARKET, BY TYPE, $M (2014-2019)
  • TABLE 54 LATAM AI IN AGRICULTURE MARKET, BY TYPE, $M (2020-2030)
  • TABLE 55 LATAM AI IN AGRICULTURE PRODUCT MARKET, BY TYPE, $M (2014-2019)
  • TABLE 56 LATAM AI IN AGRICULTURE PRODUCT MARKET, BY TYPE, $M (2020-2030)
  • TABLE 57 LATAM AI IN AGRICULTURE SERVICE MARKET, BY TYPE, $M (2014-2019)
  • TABLE 58 LATAM AI IN AGRICULTURE SERVICE MARKET, BY TYPE, $M (2020-2030)
  • TABLE 59 LATAM AI IN AGRICULTURE MARKET, BY TECHNOLOGY, $M (2014-2019)
  • TABLE 60 LATAM AI IN AGRICULTURE MARKET, BY TECHNOLOGY, $M (2020-2030)
  • TABLE 61 LATAM AI IN AGRICULTURE MARKET, BY APPLICATION, $M (2014-2019)
  • TABLE 62 LATAM AI IN AGRICULTURE MARKET, BY APPLICATION, $M (2020-2030)
  • TABLE 63 LATAM AI IN AGRICULTURE MARKET, BY COUNTRY, $M (2014-2019)
  • TABLE 64 LATAM AI IN AGRICULTURE MARKET, BY COUNTRY, $M (2020-2030)
  • TABLE 65 MEA AI IN AGRICULTURE MARKET, BY TYPE, $M (2014-2019)
  • TABLE 66 MEA AI IN AGRICULTURE MARKET, BY TYPE, $M (2020-2030)
  • TABLE 67 MEA AI IN AGRICULTURE PRODUCT MARKET, BY TYPE, $M (2014-2019)
  • TABLE 68 MEA AI IN AGRICULTURE PRODUCT MARKET, BY TYPE, $M (2020-2030)
  • TABLE 69 MEA AI IN AGRICULTURE SERVICE MARKET, BY TYPE, $M (2014-2019)
  • TABLE 70 MEA AI IN AGRICULTURE SERVICE MARKET, BY TYPE, $M (2020-2030)
  • TABLE 71 MEA AI IN AGRICULTURE MARKET, BY TECHNOLOGY, $M (2014-2019)
  • TABLE 72 MEA AI IN AGRICULTURE MARKET, BY TECHNOLOGY, $M (2020-2030)
  • TABLE 73 MEA AI IN AGRICULTURE MARKET, BY APPLICATION, $M (2014-2019)
  • TABLE 74 MEA AI IN AGRICULTURE MARKET, BY APPLICATION, $M (2020-2030)
  • TABLE 75 MEA AI IN AGRICULTURE MARKET, BY COUNTRY, $M (2014-2019)
  • TABLE 76 MEA AI IN AGRICULTURE MARKET, BY COUNTRY, $M (2020-2030)
  • TABLE 77 U.S. AI IN AGRICULTURE MARKET, BY APPLICATION, $M (2014-2019)
  • TABLE 78 U.S. AI IN AGRICULTURE MARKET, BY APPLICATION, $M (2020-2030)
  • TABLE 79 U.K. AI IN AGRICULTURE MARKET, BY APPLICATION, $M (2014-2019)
  • TABLE 80 U.K. AI IN AGRICULTURE MARKET, BY APPLICATION, $M (2020-2030)
  • TABLE 81 GERMANY AI IN AGRICULTURE MARKET, BY APPLICATION, $M (2014-2019)
  • TABLE 82 GERMANY AI IN AGRICULTURE MARKET, BY APPLICATION, $M (2020-2030)
  • TABLE 83 CHINA AI IN AGRICULTURE MARKET, BY APPLICATION, $M (2014-2019)
  • TABLE 84 CHINA AI IN AGRICULTURE MARKET, BY APPLICATION, $M (2020-2030)
  • TABLE 85 JAPAN AI IN AGRICULTURE MARKET, BY APPLICATION, $M (2014-2019)
  • TABLE 86 JAPAN AI IN AGRICULTURE MARKET, BY APPLICATION, $M (2020-2030)
  • TABLE 87 LIST OF KEY PLAYERS AND THEIR OFFERINGS
  • TABLE 88 IBM CORPORATION - AT A GLANCE
  • TABLE 89 IBM CORPORATION - KEY FINANCIAL SUMMARY
  • TABLE 90 MICROSOFT CORPORATION - AT A GLANCE
  • TABLE 91 MICROSOFT CORPORATION - KEY FINANCIAL SUMMARY
  • TABLE 92 BAYER AG - AT A GLANCE
  • TABLE 93 BAYER AG - KEY FINANCIAL SUMMARY
  • TABLE 94 DEERE & COMPANY - AT A GLANCE
  • TABLE 95 DEERE & COMPANY - KEY FINANCIAL SUMMARY
  • TABLE 96 A.A.A TARANIS VISUAL LTD. - AT A GLANCE
  • TABLE 97 AGEAGLE AERIAL SYSTEMS INC. - AT A GLANCE
  • TABLE 98 AGEAGLE AERIAL SYSTEMS INC. - KEY FINANCIAL SUMMARY
  • TABLE 99 AGCO CORPORATION - AT A GLANCE
  • TABLE 100 AGCO CORPORATION - KEY FINANCIAL SUMMARY
  • TABLE 101 RAVEN INDUSTRIES INC. - AT A GLANCE
  • TABLE 102 RAVEN INDUSTRIES INC. - KEY FINANCIAL SUMMARY
  • TABLE 103 AG LEADER TECHNOLOGY - AT A GLANCE
  • TABLE 104 TRIMBLE INC. - AT A GLANCE
  • TABLE 105 TRIMBLE INC. - KEY FINANCIAL SUMMARY
  • TABLE 106 GOOGLE LLC - AT A GLANCE
  • TABLE 107 GAMAYA SA - AT A GLANCE
  • TABLE 108 GRANULAR INC. - AT A GLANCE

List of Figures

  • FIG 1 RESEARCH SCOPE
  • FIG 2 RESEARCH METHODOLOGY
  • FIG 3 REGIONAL SPLIT OF PRIMARY AND SECONDARY RESEARCH
  • FIG 4 BREAKDOWN OF PRIMARY RESEARCH BY REGION
  • FIG 5 BREAKDOWN OF PRIMARY RESEARCH BY INDUSTRY PARTICIPANT
  • FIG 6 BREAKDOWN OF PRIMARY RESEARCH BY COMPANY TYPE
  • FIG 7 DATA TRIANGULATION APPROACH
  • FIG 8 GLOBAL AI IN AGRICULTURE MARKET SUMMARY
  • FIG 9 OPINION OF INDUSTRY EXPERTS/KOLS
  • FIG 10 VALUE CHAIN ANALYSIS
  • FIG 11 BARGAINING POWER OF BUYERS
  • FIG 12 BARGAINING POWER OF SUPPLIERS
  • FIG 13 THREAT OF NEW ENTRANTS
  • FIG 14 INTENSITY OF RIVALRY
  • FIG 15 THREAT OF SUBSTITUTES
  • FIG 16 GLOBAL AI IN AGRICULTURE MARKET, BY TYPE, $M (2014-2030)
  • FIG 17 GLOBAL AI IN AGRICULTURE PRODUCT MARKET, BY TYPE, $M (2014-2030)
  • FIG 18 GLOBAL AI IN AGRICULTURE SERVICE MARKET, BY TYPE, $M (2014-2030)
  • FIG 19 GLOBAL AI IN AGRICULTURE MARKET, BY TECHNOLOGY, $M (2014-2030)
  • FIG 20 GLOBAL AI IN AGRICULTURE MARKET, BY APPLICATION, $M (2014-2030)
  • FIG 21 WORLDWIDE MAJOR MARKETS FOR AI IN AGRICULTURE
  • FIG 22 GLOBAL AI IN AGRICULTURE MARKET, BY REGION, $M (2014-2030)
  • FIG 23 NORTH AMERICA AI IN AGRICULTURE MARKET SNAPSHOT
  • FIG 24 NORTH AMERICA AI IN AGRICULTURE MARKET, BY TYPE, $M (2014-2030)
  • FIG 25 NORTH AMERICA AI IN AGRICULTURE PRODUCT MARKET, BY TYPE, $M (2014-2030)
  • FIG 26 NORTH AMERICA AI IN AGRICULTURE SERVICE MARKET, BY TYPE, $M (2014-2030)
  • FIG 27 NORTH AMERICA AI IN AGRICULTURE MARKET, BY TECHNOLOGY, $M (2014-2030)
  • FIG 28 NORTH AMERICA AI IN AGRICULTURE MARKET, BY APPLICATION, $M (2014-2030)
  • FIG 29 NORTH AMERICA AI IN AGRICULTURE MARKET, BY COUNTRY, $M (2014-2030)
  • FIG 30 EUROPE AI IN AGRICULTURE MARKET SNAPSHOT
  • FIG 31 EUROPE AI IN AGRICULTURE MARKET, BY TYPE, $M (2014-2030)
  • FIG 32 EUROPE AI IN AGRICULTURE PRODUCT MARKET, BY TYPE, $M (2014-2030)
  • FIG 33 EUROPE AI IN AGRICULTURE SERVICE MARKET, BY TYPE, $M (2014-2030)
  • FIG 34 EUROPE AI IN AGRICULTURE MARKET, BY TECHNOLOGY, $M (2014-2030)
  • FIG 35 EUROPE AI IN AGRICULTURE MARKET, BY APPLICATION, $M (2014-2030)
  • FIG 36 EUROPE AI IN AGRICULTURE MARKET, BY COUNTRY, $M (2014-2030)
  • FIG 37 APAC AI IN AGRICULTURE MARKET SNAPSHOT
  • FIG 38 APAC AI IN AGRICULTURE MARKET, BY TYPE, $M (2014-2030)
  • FIG 39 APAC AI IN AGRICULTURE PRODUCT MARKET, BY TYPE, $M (2014-2030)
  • FIG 40 APAC AI IN AGRICULTURE SERVICE MARKET, BY TYPE, $M (2014-2030)
  • FIG 41 APAC AI IN AGRICULTURE MARKET, BY TECHNOLOGY, $M (2014-2030)
  • FIG 42 APAC AI IN AGRICULTURE MARKET, BY APPLICATION, $M (2014-2030)
  • FIG 43 APAC AI IN AGRICULTURE MARKET, BY COUNTRY, $M (2014-2030)
  • FIG 44 LATAM AI IN AGRICULTURE MARKET SNAPSHOT
  • FIG 45 PRODUCTION OF SUGARCANE IN TONNES
  • FIG 46 LATAM AI IN AGRICULTURE MARKET, BY TYPE, $M (2014-2030)
  • FIG 47 LATAM AI IN AGRICULTURE PRODUCT MARKET, BY TYPE, $M (2014-2030)
  • FIG 48 LATAM AI IN AGRICULTURE SERVICE MARKET, BY TYPE, $M (2014-2030)
  • FIG 49 LATAM AI IN AGRICULTURE MARKET, BY TECHNOLOGY, $M (2014-2030)
  • FIG 50 LATAM AI IN AGRICULTURE MARKET, BY APPLICATION, $M (2014-2030)
  • FIG 51 LATAM AI IN AGRICULTURE MARKET, BY COUNTRY, $M (2014-2030)
  • FIG 52 MEA AI IN AGRICULTURE MARKET SNAPSHOT
  • FIG 53 PRODUCTION OF WHEAT/BARLEY IN TONNES
  • FIG 54 MEA AI IN AGRICULTURE MARKET, BY TYPE, $M (2014-2030)
  • FIG 55 MEA AI IN AGRICULTURE PRODUCT MARKET, BY TYPE, $M (2014-2030)
  • FIG 56 MEA AI IN AGRICULTURE SERVICE MARKET, BY TYPE, $M (2014-2030)
  • FIG 57 MEA AI IN AGRICULTURE MARKET, BY TECHNOLOGY, $M (2014-2030)
  • FIG 58 MEA AI IN AGRICULTURE MARKET, BY APPLICATION, $M (2014-2030)
  • FIG 59 MEA AI IN AGRICULTURE MARKET, BY COUNTRY, $M (2014-2030)
  • FIG 60 U.S. AI IN AGRICULTURE MARKET, BY APPLICATION, $M (2014-2030)
  • FIG 61 U.K. AI IN AGRICULTURE MARKET, BY APPLICATION, $M (2014-2030)
  • FIG 62 GERMANY AI IN AGRICULTURE MARKET, BY APPLICATION, $M (2014-2030)
  • FIG 63 CHINA AI IN AGRICULTURE MARKET, BY APPLICATION, $M (2014-2030)
  • FIG 64 JAPAN AI IN AGRICULTURE MARKET, BY APPLICATION, $M (2014-2030)
  • FIG 65 RANKING OF GLOBAL AI IN AGRICULTURE MARKET PLAYERS
  • FIG 66 IBM CORPORATION - REVENUE SPLIT BY SEGMENT AND GEOGRAPHY (2019)
  • FIG 67 MICROSOFT CORPORATION - REVENUE SPLIT BY SEGMENT AND GEOGRAPHY (2019)
  • FIG 68 BAYER AG - REVENUE SPLIT BY SEGMENT AND GEOGRAPHY (2019)
  • FIG 69 DEERE & COMPANY - REVENUE SPLIT BY SEGMENT AND GEOGRAPHY (2019)
  • FIG 70 AGCO CORPORATION - REVENUE SPLIT BY PRODUCT AND GEOGRAPHY (2019)
  • FIG 71 RAVEN INDUSTRIES INC. - REVENUE SPLIT BY SEGMENT (2020)
  • FIG 72 TRIMBLE INC. - REVENUE SPLIT BY SEGMENT AND GEOGRAPHY (2019)
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