市場調查報告書

面向農業AI(人工智能)的全球市場:產業分析與成長預測

Artificial Intelligence in Agriculture Market Research Report: By Type, Technology, Application, Geographical Outlook - Global Industry Analysis and Growth Forecast to 2024

出版商 Prescient & Strategic Intelligence Private Limited 商品編碼 918864
出版日期 內容資訊 英文 168 Pages
商品交期: 2-3個工作天內
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面向農業AI(人工智能)的全球市場:產業分析與成長預測 Artificial Intelligence in Agriculture Market Research Report: By Type, Technology, Application, Geographical Outlook - Global Industry Analysis and Growth Forecast to 2024
出版日期: 2019年08月01日內容資訊: 英文 168 Pages
簡介

面向本報告提供農業AI(人工智能)的世界市場調查,提供市場概要,各類型(硬體設備,軟體)·技術(機器學習,電腦視覺,預測分析)·用途(農業機器人,精密農業,無人機分析,家畜監測)·各地區的市場規模的變化與預測(過去5年·今後5年份),市場成長要素及阻礙因素分析,市場機會,法規趨勢,競爭情形,主要企業的簡介等全面性資訊。

目錄

第1章 調查背景

  • 調查目的
  • 市場定義
  • 調查範圍
    • 市場區隔:各類型
    • 市場區隔:各技術
    • 市場區隔:各用途
    • 市場區隔:各地區
    • 分析期間
    • 使用單位
  • 主要的相關利益者

第2章 調查方法

  • 2次調查
  • 1次調查
  • 市場規模的預測
  • 資料的三角測量
  • 調查前提

第3章 摘要整理

第4章 簡介

  • 市場區隔定義
    • 各類型
    • 各技術
    • 各用途
  • 市場動態
    • 市場趨勢
    • 成長要素
    • 阻礙因素
    • 市場機會
  • 波特的五力分析
    • 買方議價能力
    • 供給企業談判力
    • 新加入廠商業者的威脅
    • 替代品的威脅
    • 競爭企業間的敵對關係
    • 市場情況

第5章 全球市場規模與預測

  • 各類型
    • 各產品
    • 各類服務
  • 按科技
  • 各用途
  • 各地區

第6章 北美的市場規模與預測

  • 各類型
    • 各產品
    • 各類服務
  • 各技術
  • 各用途
  • 各國

第7章 歐洲的市場規模與預測

  • 各類型
    • 各產品
    • 各類服務
  • 各技術
  • 各用途
  • 各國

第8章 亞太地區的市場規模與預測

  • 各類型
    • 各產品
    • 各類服務
  • 各技術
  • 各用途
  • 各國

第9章 南美的市場規模與預測

  • 各類型
    • 各產品
    • 各類服務
  • 各技術
  • 各用途
  • 各國

第10章 中東·非洲的市場規模與預測

  • 各類型
    • 各產品
    • 各類服務
  • 各技術
  • 各用途
  • 各國

第11章 競爭情形

  • 主要企業分析
  • 主要企業與其產品一覽
  • 主要企業的競爭基準
  • 主要企業的策略趨勢
    • 合併·收購
    • 產品的上市
    • 夥伴關係

第12章 企業簡介

  • IBM Corporation
  • Microsoft Corporation
  • Bayer AG
  • Deere & Company
  • A.A.A Taranis Visual Ltd.
  • AgEagle Aerial Systems Inc.
  • AGCO Corporation
  • Raven Industries Inc.
  • Ag Leader Technology
  • Trimble Inc.
  • Google LLC
  • Gamaya SA
  • Granular Inc.

第13章 附錄

  • 簡稱
  • 出處
  • 相關調查報告
目錄

As per the United Nations (UN) report, the world population, which is currently 7.7 billion, is predicted to reach 8.6 billion by 2030. This surge in the population is sure to increase the demand for agricultural products. This demand is primarily rising in countries including India, China, Brazil, and the U.S. because of the rapid urbanization, changing consumption habits of the populace, and increasing disposable income. With the increasing population, the current sources of agricultural production will not be enough, due to which there is a growing need for increasing the productivity. For this reason, the key agricultural product-producing countries are incorporating artificial intelligence (AI) into their agricultural practices.

AI, the imitation of human intelligence, empowers machines, especially computer systems, with capabilities such as self-correction, learning, and reasoning. In the agricultural sector, AI can be implemented for farming and gardening, in order to increase the precision and efficacy in maintaining, planting, and harvesting the crops. According to a report by P&S Intelligence, the global AI in agriculture market generated revenue of $584.0 million in 2018 and is predicted to witness a CAGR of 38.3% in the coming years. The major applications of AI in the agricultural sector include drone analytics, agricultural robots, livestock monitoring, and precision farming. Among these, the highest demand for AI was created by the precision farming application in 2018, and it is also going to be at the top in the coming years. This is because of the rising popularity of precision farming among the agrarian community, as there is a surging need for optimum yield using the limited available resources, which will eventually result in a reduction in the cost of crop production.

Among the above-mentioned applications, the demand for drone analytics in agricultural farms is projected to grow significantly in the near future. This is because drones that are enabled with AI are able to fly autonomously in an obstacle-filled environment. Moreover, drones are increasingly being used in the agricultural sector for assisting in irrigation schedules, estimating yield data, scanning soil health, and applying fertilizers. For instance, there is a rising demand for drones in the Xinjiang province of China for spraying pesticides in cotton fields, as by using drones, over 1,544 square miles of cotton fields can be sprayed at once, making the process time-efficient and improving the agricultural output. Because of all these advantages, several government initiatives are encouraging the adoption of drones for modernizing agricultural practices.

The demand for AI in the agricultural sector is also increasing due to the growing use of robotics in the field. Due to the increasing population and lack of skilled farm workers, the automation of agricultural processes has resulted in easier, modernized, and sophisticated farming practices via the deployment of robots. Furthermore, agricultural stakeholders are majorly focusing on refining the productivity using advanced farming practices and reducing the carbon footprint created by the entire agricultural process. Due to these factors, manufacturers in the robotics niche are coming up with offerings, which are equipped with AI, for operating in the dynamic and unstructured agricultural environment.

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 Geography
    • 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

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 Porter's Five Forces Analysis
    • 4.4.1 Bargaining Power of Buyers
    • 4.4.2 Bargaining Power of Suppliers
    • 4.4.3 Threat of New Entrants
    • 4.4.4 Intensity of Rivalry
    • 4.4.5 Threat of Substitutes

Chapter 5. Global Market Size and Forecast

  • 5.1 By Type
    • 5.1.1 By Product
    • 5.1.2 By Service
  • 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 By Product
    • 6.1.2 By Service
  • 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 By Product
    • 7.1.2 By Service
  • 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 By Product
    • 8.1.2 By Service
  • 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 By Product
    • 9.1.2 By Service
  • 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 By Product
    • 10.1.2 By Service
  • 10.2 By Technology
  • 10.3 By Application
  • 10.4 By Country

Chapter 11. Competitive Landscape

  • 11.1 Analysis of Key Players in the Market
  • 11.2 List of Key Players and Their Offerings
  • 11.3 Competitive Benchmarking of Key Players
  • 11.4 Global Strategic Developments of Key Players
    • 11.4.1 Mergers and Acquisitions
    • 11.4.2 Product Launches
    • 11.4.3 Partnerships

Chapter 12. Company Profiles

  • 12.1 International Business Machines (IBM) Corporation
    • 12.1.1 Business Overview
    • 12.1.2 Product and Service Offerings
    • 12.1.3 Key Financial Summary
    • 12.1.4 SWOT Analysis
  • 12.2 Microsoft Corporation
    • 12.2.1 Business Overview
    • 12.2.2 Product and Service Offerings
    • 12.2.3 Key Financial Summary
    • 12.2.4 SWOT Analysis
  • 12.3 Bayer AG
    • 12.3.1 Business Overview
    • 12.3.2 Product and Service Offerings
    • 12.3.3 Key Financial Summary
    • 12.3.4 SWOT Analysis
  • 12.4 Deere & Company
    • 12.4.1 Business Overview
    • 12.4.2 Product and Service Offerings
    • 12.4.3 Key Financial Summary
    • 12.4.4 SWOT Analysis
  • 12.5 A.A.A Taranis Visual Ltd.
    • 12.5.1 Business Overview
    • 12.5.2 Product and Service Offerings
  • 12.6 AgEagle Aerial Systems Inc.
    • 12.6.1 Business Overview
    • 12.6.2 Product and Service Offerings
  • 12.7 AGCO Corporation
    • 12.7.1 Business Overview
    • 12.7.2 Product and Service Offerings
    • 12.7.3 Key Financial Summary
    • 12.7.4 SWOT Analysis
  • 12.8 Raven Industries Inc.
    • 12.8.1 Business Overview
    • 12.8.2 Product and Service Offerings
    • 12.8.3 Key Financial Summary
    • 12.8.4 SWOT Analysis
  • 12.9 Ag Leader Technology
    • 12.9.1 Business Overview
    • 12.9.2 Product and Service Offerings
  • 12.1 Trimble Inc.
    • 12.10.1 Business Overview
    • 12.10.2 Product and Service Offerings
    • 12.10.3 Key Financial Summary
    • 12.10.4 SWOT Analysis
  • 12.11 Google LLC
    • 12.11.1 Business Overview
    • 12.11.2 Product and Service Offerings
  • 12.12 Gamaya SA
    • 12.12.1 Business Overview
    • 12.12.2 Product and Service Offerings
  • 12.13 Granular Inc.
    • 12.13.1 Business Overview
    • 12.13.2 Product and Service Offerings

Chapter 13. Appendix

  • 13.1 Abbreviations
  • 13.2 Sources and References
  • 13.3 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 GLOBAL AI IN AGRICULTURE MARKET, BY TYPE, $M (2014-2018)
  • TABLE 5 GLOBAL AI IN AGRICULTURE MARKET, BY TYPE, $M (2019-2024)
  • TABLE 6 GLOBAL AI IN AGRICULTURE MARKET, BY PRODUCT, $M (2014-2018)
  • TABLE 7 GLOBAL AI IN AGRICULTURE MARKET, BY PRODUCT, $M (2019-2024)
  • TABLE 8 GLOBAL AI IN AGRICULTURE MARKET, BY SERVICE, $M (2014-2018)
  • TABLE 9 GLOBAL AI IN AGRICULTURE MARKET, BY SERVICE, $M (2019-2024)
  • TABLE 10 GLOBAL AI IN AGRICULTURE MARKET, BY TECHNOLOGY, $M (2014-2018)
  • TABLE 11 GLOBAL AI IN AGRICULTURE MARKET, BY TECHNOLOGY, $M (2019-2024)
  • TABLE 12 GLOBAL AI IN AGRICULTURE MARKET, BY APPLICATION, $M (2014-2018)
  • TABLE 13 GLOBAL AI IN AGRICULTURE MARKET, BY APPLICATION, $M (2019-2024)
  • TABLE 14 GLOBAL AI IN AGRICULTURE MARKET, BY REGION, $M (2014-2018)
  • TABLE 15 GLOBAL AI IN AGRICULTURE MARKET, BY REGION, $M (2019-2024)
  • TABLE 16 NORTH AMERICA AI IN AGRICULTURE MARKET, BY TYPE, $M (2014-2018)
  • TABLE 17 NORTH AMERICA AI IN AGRICULTURE MARKET, BY TYPE, $M (2019-2024)
  • TABLE 18 NORTH AMERICA AI IN AGRICULTURE MARKET, BY PRODUCT, $M (2014-2018)
  • TABLE 19 NORTH AMERICA AI IN AGRICULTURE MARKET, BY PRODUCT, $M (2019-2024)
  • TABLE 20 NORTH AMERICA AI IN AGRICULTURE MARKET, BY SERVICE, $M (2014-2018)
  • TABLE 21 NORTH AMERICA AI IN AGRICULTURE MARKET, BY SERVICE, $M (2019-2024)
  • TABLE 22 NORTH AMERICA AI IN AGRICULTURE MARKET, BY TECHNOLOGY, $M (2014-2018)
  • TABLE 23 NORTH AMERICA AI IN AGRICULTURE MARKET, BY TECHNOLOGY, $M (2019-2024)
  • TABLE 24 NORTH AMERICA AI IN AGRICULTURE MARKET, BY APPLICATION, $M (2014-2018)
  • TABLE 25 NORTH AMERICA AI IN AGRICULTURE MARKET, BY APPLICATION, $M (2019-2024)
  • TABLE 26 NORTH AMERICA AI IN AGRICULTURE MARKET, BY COUNTRY, $M (2014-2018)
  • TABLE 27 NORTH AMERICA AI IN AGRICULTURE MARKET, BY COUNTRY, $M (2019-2024)
  • TABLE 28 EUROPE AI IN AGRICULTURE MARKET, BY TYPE, $M (2014-2018)
  • TABLE 29 EUROPE AI IN AGRICULTURE MARKET, BY TYPE, $M (2019-2024)
  • TABLE 30 EUROPE AI IN AGRICULTURE MARKET, BY PRODUCT, $M (2014-2018)
  • TABLE 31 EUROPE AI IN AGRICULTURE MARKET, BY PRODUCT, $M (2019-2024)
  • TABLE 32 EUROPE AI IN AGRICULTURE MARKET, BY SERVICE, $M (2014-2018)
  • TABLE 33 EUROPE AI IN AGRICULTURE MARKET, BY SERVICE, $M (2019-2024)
  • TABLE 34 EUROPE AI IN AGRICULTURE MARKET, BY TECHNOLOGY, $M (2014-2018)
  • TABLE 35 EUROPE AI IN AGRICULTURE MARKET, BY TECHNOLOGY, $M (2019-2024)
  • TABLE 36 EUROPE AI IN AGRICULTURE MARKET, BY APPLICATION, $M (2014-2018)
  • TABLE 37 EUROPE AI IN AGRICULTURE MARKET, BY APPLICATION, $M (2019-2024)
  • TABLE 38 EUROPE AI IN AGRICULTURE MARKET, BY COUNTRY, $M (2014-2018)
  • TABLE 39 EUROPE AI IN AGRICULTURE MARKET, BY COUNTRY, $M (2019-2024)
  • TABLE 40 APAC AI IN AGRICULTURE MARKET, BY TYPE, $M (2014-2018)
  • TABLE 41 APAC AI IN AGRICULTURE MARKET, BY TYPE, $M (2019-2024)
  • TABLE 42 APAC AI IN AGRICULTURE MARKET, BY PRODUCT, $M (2014-2018)
  • TABLE 43 APAC AI IN AGRICULTURE MARKET, BY PRODUCT, $M (2019-2024)
  • TABLE 44 APAC AI IN AGRICULTURE MARKET, BY SERVICE, $M (2014-2018)
  • TABLE 45 APAC AI IN AGRICULTURE MARKET, BY SERVICE, $M (2019-2024)
  • TABLE 46 APAC AI IN AGRICULTURE MARKET, BY TECHNOLOGY, $M (2014-2018)
  • TABLE 47 APAC AI IN AGRICULTURE MARKET, BY TECHNOLOGY, $M (2019-2024)
  • TABLE 48 APAC AI IN AGRICULTURE MARKET, BY APPLICATION, $M (2014-2018)
  • TABLE 49 APAC AI IN AGRICULTURE MARKET, BY APPLICATION, $M (2019-2024)
  • TABLE 50 APAC AI IN AGRICULTURE MARKET, BY COUNTRY, $M (2014-2018)
  • TABLE 51 APAC AI IN AGRICULTURE MARKET, BY COUNTRY, $M (2019-2024)
  • TABLE 52 LATAM AI IN AGRICULTURE MARKET, BY TYPE, $M (2014-2018)
  • TABLE 53 LATAM AI IN AGRICULTURE MARKET, BY TYPE, $M (2019-2024)
  • TABLE 54 LATAM AI IN AGRICULTURE MARKET, BY PRODUCT, $M (2014-2018)
  • TABLE 55 LATAM AI IN AGRICULTURE MARKET, BY PRODUCT, $M (2019-2024)
  • TABLE 56 LATAM AI IN AGRICULTURE MARKET, BY SERVICE, $M (2014-2018)
  • TABLE 57 LATAM AI IN AGRICULTURE MARKET, BY SERVICE, $M (2019-2024)
  • TABLE 58 LATAM AI IN AGRICULTURE MARKET, BY TECHNOLOGY, $M (2014-2018)
  • TABLE 59 LATAM AI IN AGRICULTURE MARKET, BY TECHNOLOGY, $M (2019-2024)
  • TABLE 60 LATAM AI IN AGRICULTURE MARKET, BY APPLICATION, $M (2014-2018)
  • TABLE 61 LATAM AI IN AGRICULTURE MARKET, BY APPLICATION, $M (2019-2024)
  • TABLE 62 LATAM AI IN AGRICULTURE MARKET, BY COUNTRY, $M (2014-2018)
  • TABLE 63 LATAM AI IN AGRICULTURE MARKET, BY COUNTRY, $M (2019-2024)
  • TABLE 64 MEA AI IN AGRICULTURE MARKET, BY TYPE, $M (2014-2018)
  • TABLE 65 MEA AI IN AGRICULTURE MARKET, BY TYPE, $M (2019-2024)
  • TABLE 66 MEA AI IN AGRICULTURE MARKET, BY PRODUCT, $M (2014-2018)
  • TABLE 67 MEA AI IN AGRICULTURE MARKET, BY PRODUCT, $M (2019-2024)
  • TABLE 68 MEA AI IN AGRICULTURE MARKET, BY SERVICE, $M (2014-2018)
  • TABLE 69 MEA AI IN AGRICULTURE MARKET, BY SERVICE, $M (2019-2024)
  • TABLE 70 MEA AI IN AGRICULTURE MARKET, BY TECHNOLOGY, $M (2014-2018)
  • TABLE 71 MEA AI IN AGRICULTURE MARKET, BY TECHNOLOGY, $M (2019-2024)
  • TABLE 72 MEA AI IN AGRICULTURE MARKET, BY APPLICATION, $M (2014-2018)
  • TABLE 73 MEA AI IN AGRICULTURE MARKET, BY APPLICATION, $M (2019-2024)
  • TABLE 74 MEA AI IN AGRICULTURE MARKET, BY COUNTRY, $M (2014-2018)
  • TABLE 75 MEA AI IN AGRICULTURE MARKET, BY COUNTRY, $M (2019-2024)
  • TABLE 76 LIST OF KEY PLAYERS AND THEIR OFFERINGS
  • TABLE 77 IBM CORPORATION - AT A GLANCE
  • TABLE 78 IBM CORPORATION - KEY FINANCIAL SUMMARY
  • TABLE 79 MICROSOFT CORPORATION - AT A GLANCE
  • TABLE 80 MICROSOFT CORPORATION - KEY FINANCIAL SUMMARY
  • TABLE 81 BAYER AG - AT A GLANCE
  • TABLE 82 BAYER AG - KEY FINANCIAL SUMMARY
  • TABLE 83 DEERE & COMPANY - AT A GLANCE
  • TABLE 84 DEERE & COMPANY - KEY FINANCIAL SUMMARY
  • TABLE 85 A.A.A TARANIS VISUAL LTD. - AT A GLANCE
  • TABLE 86 AGEAGLE AERIAL SYSTEMS INC. - AT A GLANCE
  • TABLE 87 AGCO CORPORATION - AT A GLANCE
  • TABLE 88 AGCO CORPORATION - KEY FINANCIAL SUMMARY
  • TABLE 89 RAVEN INDUSTRIES INC. - AT A GLANCE
  • TABLE 90 RAVEN INDUSTRIES INC. - KEY FINANCIAL SUMMARY
  • TABLE 91 AG LEADER TECHNOLOGY - AT A GLANCE
  • TABLE 92 TRIMBLE INC. - AT A GLANCE
  • TABLE 93 TRIMBLE INC. - KEY FINANCIAL SUMMARY
  • TABLE 94 GOOGLE LLC - AT A GLANCE
  • TABLE 95 GAMAYA SA - AT A GLANCE
  • TABLE 96 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 VALUE CHAIN ANALYSIS
  • FIG 10 BARGAINING POWER OF BUYERS
  • FIG 11 BARGAINING POWER OF SUPPLIERS
  • FIG 12 THREAT OF NEW ENTRANTS
  • FIG 13 INTENSITY OF RIVALRY
  • FIG 14 THREAT OF SUBSTITUTES
  • FIG 15 GLOBAL AI IN AGRICULTURE MARKET, BY TYPE, $M (2014-2024)
  • FIG 16 GLOBAL AI IN AGRICULTURE MARKET, BY PRODUCT, $M (2014-2024)
  • FIG 17 GLOBAL AI IN AGRICULTURE MARKET, BY SERVICE, $M (2014-2024)
  • FIG 18 GLOBAL AI IN AGRICULTURE MARKET, BY TECHNOLOGY, $M (2014-2024)
  • FIG 19 GLOBAL AI IN AGRICULTURE MARKET, BY APPLICATION, $M (2014-2024)
  • FIG 20 WORLDWIDE MAJOR MARKETS FOR AI IN AGRICULTURE MARKET
  • FIG 21 GLOBAL AI IN AGRICULTURE MARKET, BY REGION, $M (2014-2024)
  • FIG 22 NORTH AMERICA AI IN AGRICULTURE MARKET SNAPSHOT
  • FIG 23 NORTH AMERICA AI IN AGRICULTURE MARKET, BY TYPE, $M (2014-2024)
  • FIG 24 NORTH AMERICA AI IN AGRICULTURE MARKET, BY PRODUCT, $M (2014-2024)
  • FIG 25 NORTH AMERICA AI IN AGRICULTURE MARKET, BY SERVICE, $M (2014-2024)
  • FIG 26 NORTH AMERICA AI IN AGRICULTURE MARKET, BY TECHNOLOGY, $M (2014-2024)
  • FIG 27 NORTH AMERICA AI IN AGRICULTURE MARKET, BY APPLICATION, $M (2014-2024)
  • FIG 28 NORTH AMERICA AI IN AGRICULTURE MARKET, BY COUNTRY, $M (2014-2024)
  • FIG 29 EUROPE AI IN AGRICULTURE MARKET SNAPSHOT
  • FIG 30 EUROPE AI IN AGRICULTURE MARKET, BY TYPE, $M (2014-2024)
  • FIG 31 EUROPE AI IN AGRICULTURE MARKET, BY PRODUCT, $M (2014-2024)
  • FIG 32 EUROPE AI IN AGRICULTURE MARKET, BY SERVICE, $M (2014-2024)
  • FIG 33 EUROPE AI IN AGRICULTURE MARKET, BY TECHNOLOGY, $M (2014-2024)
  • FIG 34 EUROPE AI IN AGRICULTURE MARKET, BY APPLICATION, $M (2014-2024)
  • FIG 35 EUROPE AI IN AGRICULTURE MARKET, BY COUNTRY, $M (2014-2024)
  • FIG 36 APAC AI IN AGRICULTURE MARKET SNAPSHOT
  • FIG 37 APAC AI IN AGRICULTURE MARKET, BY TYPE, $M (2014-2024)
  • FIG 38 APAC AI IN AGRICULTURE MARKET, BY PRODUCT, $M (2014-2024)
  • FIG 39 APAC AI IN AGRICULTURE MARKET, BY SERVICE, $M (2014-2024)
  • FIG 40 APAC AI IN AGRICULTURE MARKET, BY TECHNOLOGY, $M (2014-2024)
  • FIG 41 APAC AI IN AGRICULTURE MARKET, BY APPLICATION, $M (2014-2024)
  • FIG 42 APAC AI IN AGRICULTURE MARKET, BY COUNTRY, $M (2014-2024)
  • FIG 43 LATAM AI IN AGRICULTURE MARKET SNAPSHOT
  • FIG 44 PRODUCTION OF SUGARCANE IN TONNES
  • FIG 45 LATAM AI IN AGRICULTURE MARKET, BY TYPE, $M (2014-2024)
  • FIG 46 LATAM AI IN AGRICULTURE MARKET, BY PRODUCT, $M (2014-2024)
  • FIG 47 LATAM AI IN AGRICULTURE MARKET, BY SERVICE, $M (2014-2024)
  • FIG 48 LATAM AI IN AGRICULTURE MARKET, BY TECHNOLOGY, $M (2014-2024)
  • FIG 49 LATAM AI IN AGRICULTURE MARKET, BY APPLICATION, $M (2014-2024)
  • FIG 50 LATAM AI IN AGRICULTURE MARKET, BY COUNTRY, $M (2014-2024)
  • FIG 51 MEA AI IN AGRICULTURE MARKET SNAPSHOT
  • FIG 52 PRODUCTION OF WHEAT/BARLEY IN TONNES
  • FIG 53 MEA AI IN AGRICULTURE MARKET, BY TYPE, $M (2014-2024)
  • FIG 54 MEA AI IN AGRICULTURE MARKET, BY PRODUCT, $M (2014-2024)
  • FIG 55 MEA AI IN AGRICULTURE MARKET, BY SERVICE, $M (2014-2024)
  • FIG 56 MEA AI IN AGRICULTURE MARKET, BY TECHNOLOGY, $M (2014-2024)
  • FIG 57 MEA AI IN AGRICULTURE MARKET, BY APPLICATION, $M (2014-2024)
  • FIG 58 MEA AI IN AGRICULTURE MARKET, BY COUNTRY, $M (2014-2024)
  • FIG 59 RANKING OF GLOBAL AI IN AGRICULTURE MARKET PLAYERS
  • FIG 60 IBM CORPORATION - REVENUE SPLIT BY SEGMENT AND GEOGRAPHY (2018)
  • FIG 61 SWOT ANALYSIS OF IBM CORPORATION
  • FIG 62 MICROSOFT CORPORATION - REVENUE SPLIT BY SEGMENT AND GEOGRAPHY (2018)
  • FIG 63 SWOT ANALYSIS OF MICROSOFT CORPORATION
  • FIG 64 BAYER AG - REVENUE SPLIT BY SEGMENT AND GEOGRAPHY (2018)
  • FIG 65 SWOT ANALYSIS OF BAYER AG
  • FIG 66 DEERE & COMPANY - REVENUE SPLIT BY SEGMENT AND GEOGRAPHY (2018)
  • FIG 67 SWOT ANALYSIS OF DEERE & COMPANY
  • FIG 68 AGCO CORPORATION - REVENUE SPLIT BY GEOGRAPHY (2018)
  • FIG 69 SWOT ANALYSIS OF AGCO CORPORATION
  • FIG 70 RAVEN INDUSTRIES INC. - REVENUE SPLIT BY SEGMENT AND GEOGRAPHY (2019)
  • FIG 71 SWOT ANALYSIS OF RAVEN INDUSTRIES INC.
  • FIG 72 TRIMBLE INC. - REVENUE SPLIT BY SEGMENT AND GEOGRAPHY (2018)
  • FIG 73 SWOT ANALYSIS OF TRIMBLE INC.
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