市場調查報告書

全球農業領域的人工智能市場:按類型,技術,應用和增長預測進行的行業分析

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

出版商 Prescient & Strategic Intelligence Private Limited 商品編碼 949804
出版日期 內容資訊 英文 168 Pages
商品交期: 2-3個工作天內
價格
全球農業領域的人工智能市場:按類型,技術,應用和增長預測進行的行業分析 Artificial Intelligence in Agriculture Market Research Report: By Type, Technology, Application - Global Industry Analysis and Growth Forecast to 2030
出版日期: 2020年03月01日內容資訊: 英文 168 Pages
簡介

全球農業領域的人工智能(AI)市場預計將從2019年的6.716億美元增長到2030年的112.10億美元,而到2020年至2030年的複合年均增長率為20%。預計為30.5%。市場擴張的原動力是世界人口的增長和糧食需求的增長。根據聯合國經濟和社會事務部(UN-DESA)的數據,到2030年,世界人口將從目前的77億增加到86億。此外,消費方式的變化,可支配收入的增加以及城市化的進步也是促使農產品需求擴大的因素。人工智能在農業領域的應用最有希望的未來是對無人機收集的數據進行分析,其背後的原因是隨著對高質量農作物需求的增加,對農業無人機的投資也在擴大。有。

本報告調查了農業部門的全球人工智能市場,包括價值鏈,市場動態,全球市場規模和預測,類型,技術,應用和區域分析,我們提供諸如競爭狀況和公司簡介之類的信息。

內容

第1章調查背景

第2章調查方法

  • 二次調查
  • 主要調查
  • 市場規模估算
  • 數據三角剖分
  • 調查的前提條件

第3章執行摘要

第4章簡介

  • 細分市場定義
    • 按類型
      • 產品
      • 服務
    • 通過技術
      • 機器學習
      • 計算機視覺
      • 預測分析
    • 通過申請
      • 農業機器人
      • 精準農業
      • 無人機分析
      • 畜牧監測
      • 其他
  • 價值鏈分析
  • 市場動態
    • 趨勢
      • 在農業中增加使用機器人技術
      • 在農業中增加使用智能傳感器
    • 主持人
      • 對農業生產的需求增加
      • 越來越多地採用物聯網(IoT)
      • 對牲畜監視的需求增加
      • 農場對無人機的需求增加
      • 增長因素對市場預測的影響分析
    • 抑制因子
      • 無法識別的AI解決方案和高成本
      • 限制因素對市場預測的影響分析
    • 市場機會
      • 新興國家的增長機會
      • 具有AI的聊天機器人
  • 波特的五力分析
    • 買方議價能力
    • 供應商議價能力
    • 新進入的威脅
    • 競爭激烈
    • 替代威脅

第5章世界市場規模和預測

  • 按類型
    • 按產品
    • 通過服務
  • 通過技術
  • 通過申請
  • 按地區

第6章北美市場規模和預測

  • 按類型
    • 按產品
    • 通過服務
  • 通過技術
  • 通過申請
  • 按國家

第7章歐洲市場規模和預測

  • 按類型
    • 按產品
    • 通過服務
  • 通過技術
  • 通過申請
  • 按國家

第8章亞太市場規模和預測

  • 按類型
    • 按產品
    • 通過服務
  • 通過技術
  • 通過申請
  • 按國家

第9章拉丁美洲的市場規模和預測

  • 按類型
    • 按產品
    • 通過服務
  • 通過技術
  • 通過申請
  • 按國家

第10章中東和非洲市場規模和預測

  • 按類型
    • 按產品
    • 通過服務
  • 通過技術
  • 通過申請
  • 按國家

第11章競爭情況

  • 主要公司分析
  • 主要公司和產品清單
  • 主要公司的競爭基準
  • 大公司的戰略趨勢
    • 併購
    • 產品發佈
    • 聯盟

第12章公司簡介

  • International Business Machines (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

  • 縮寫
  • 參考資料
  • 相關報告
目錄

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

"The revenue generated in the global AI in agriculture market share is expected to increase to $11,200.1 million in 2030 from $671.6 million in 2019, at a 30.5% CAGR during 2020-2030 (forecast period). Service, based on type, is projected to be the faster-growing category during the forecast period. With an increasing number of farmers wanting to implement AI in their practices, the demand for training and equipment installation and maintenance services is also rising.

The highest CAGR, under the application segment of the AI in agriculture market, would be experienced by the drone analytics division. With the surging requirement for high-quality crops by the continuously growing population, heavy investments are being put in agricultural drones. The demand for such devices is rising rapidly in China and the U.S., which is driving the advance of the drone analytics division.

The most important factor leading to the growth of the AI in agriculture market is the increasing demand for food. The United Nations Department of Social and Economic Affairs (UN-DESA) claims that the worldwide population would rise from 7.7 billion currently to 8.6 billion by 2030. Additionally, with the changing consumption pattern of the populace, increasing disposable income, and high rate of urbanization, the demand for agricultural products is burgeoning. Due to this, the agrarian community is

Developing regions are expected to offer ample opportunities to the players in the AI in agriculture market in the coming years. In emerging economies such as Brazil, India, and South Africa, the usage of AI in the agricultural domain is quite low; however, with the governments in these countries extending their support for the adoption of advanced technologies to grow crops, market players can hope to augment their revenue substantially here. For instance, the Maharashtra government began a partnership with the World Economic Forum in January 2019, to use drones for collecting insights on farmlands.

Software is expected to witness the fastest advance in the AI in agriculture market, on the basis of product type, in the coming years. This is attributed to the fact that the use of AI for smart greenhouse management, soil management, and livestock monitoring necessitates advanced software to control and operate the complex devices and instruments. In 2019, machine learning was the largest technology category in the market, as farmers are rapidly adopting it to augment their yield, by combining data technologies with advanced agricultural science.

On a geographical basis, Europe and North America dominated the AI in agriculture market in 2019, with a combined revenue share of around 70.0%. During the forecast period, the highest CAGR would be witnessed in Asia-Pacific (APAC), as the developing countries in the region, including China, India, Thailand, and Indonesia, are rapidly integrating agricultural robots, drone analytics, precision farming, and other advanced techniques to raise the productivity of farms.

Owing to the presence of numerous leading players, such as Microsoft Corporation, IBM Corporation, Deere & Company, Bayer AG, AgEagle Aerial Systems Inc., A.A.A Taranis Visual Ltd., Raven Industries, AGCO Corporation, Trimble Inc., Ag Leader Technology, Gamaya SA, Google LLC, and Granular Inc., the global AI in agriculture market is quite competitive."

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
  • 12.10 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.