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市場調査レポート

農業向け人工知能 (AI) の世界市場 - 2026年までの予測:マシンラーニング (ML)、コンピュータービジョン、予測アナリティクス

Artificial Intelligence in Agriculture Market by Technology (Machine Learning, Computer Vision, and Predictive Analytics), Offering (Software, Hardware, AI-as-a-Service, and Services), Application, and Geography - Global Forecast to 2026

発行 MarketsandMarkets 商品コード 934313
出版日 ページ情報 英文 153 Pages
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本日の銀行送金レート: 1USD=109.88円で換算しております。
農業向け人工知能 (AI) の世界市場 - 2026年までの予測:マシンラーニング (ML)、コンピュータービジョン、予測アナリティクス Artificial Intelligence in Agriculture Market by Technology (Machine Learning, Computer Vision, and Predictive Analytics), Offering (Software, Hardware, AI-as-a-Service, and Services), Application, and Geography - Global Forecast to 2026
出版日: 2020年04月28日 ページ情報: 英文 153 Pages
概要

農業向け人工知能 (AI) 市場全体は、2020年の10億米ドルから、2026年までに40億米ドルに達し、2020年~2026年のCAGRで25.5%の成長が予測されています。市場の成長は、センサーや作物の空中画像によるデータ生成の導入の増加、ディープラーニング技術による作物の生産性の向上、現代の農業技術に対する政府の支援によって後押しされています。ただし、正確なフィールドデータを収集するコストが高いため、市場の成長は抑制されています。一方、中国、ブラジル、インドなどの途上国で、農場における無人航空機 (UAV)/ドローンの使用が増加しているため、農業向け人工知能 (AI) 市場の企業に機会を提供する可能性があります。

当レポートでは、世界の農業向け人工知能 (AI) 市場について調査分析し、市場概要、業界動向、セグメント別の市場分析、競合情勢、主要企業などについて、体系的な情報を提供しています。

目次

第1章 イントロダクション

第2章 調査手法

第3章 エグゼクティブサマリー

第4章 重要考察

  • 農業向けAI市場の魅力的な機会
  • 農業向けAI市場:提供別
  • 農業向けAI市場:技術別
  • アジア太平洋地域の農業向けAI市場:用途別、国別
  • 農業向けAI市場:地域別

第5章 市場概要

  • イントロダクション
  • 市場力学
    • 促進要因
    • 抑制要因
    • 機会
    • 課題
  • バリューチェーン分析
  • 農業向けAI市場に対する新型コロナウイルス感染症 (COVID-19) の影響

第6章 農業向け人工知能 (AI) 市場:技術別

  • イントロダクション
  • マシンラーニング (ML)
  • コンピュータービジョン
  • 予測アナリティクス

第7章 農業向け人工知能 (AI) 市場:提供別

  • イントロダクション
  • ハードウェア
  • ソフトウェア
  • AIaaS (AI as a Service)
  • サービス

第8章 農業向け人工知能 (AI) 市場:用途別

  • イントロダクション
  • 精密農業
  • 家畜モニタリング
  • ドローンアナリティクス
  • 農業用ロボット
  • 労務管理
  • その他

第9章 地域別分析

  • イントロダクション
  • 南北アメリカ
  • 欧州
  • アジア太平洋地域
  • その他の地域

第10章 競合情勢

  • 概要
  • ランキング分析
  • 競合シナリオ
  • 競合リーダーシップマッピング

第11章 企業プロファイル

  • 主要企業
    • IBM
    • DEERE & COMPANY
    • MICROSOFT
    • THE CLIMATE CORPORATION
    • FARMERS EDGE
    • GRANULAR
    • AGEAGLE
    • DESCARTES LABS
    • PROSPERA
    • TARANIS
    • AWHERE
  • 成功戦略
  • その他の主要企業
    • GAMAYA
    • EC2CE
    • PRECISION HAWK
    • VINEVIEW
    • CAINTHUS
    • TULE TECHNOLOGIES
    • RESSON
    • CONNECTERRA
    • VISION ROBOTICS
    • FARMBOT
    • HARVEST CROO
    • PEAT
    • AUTONOMOUS TRACTOR CORPORATION
    • TRACE GENOMICS
    • CROPX TECHNOLOGIES

第12章 付録

図表

LIST OF TABLES

  • TABLE 1 AI IN AGRICULTURE MARKET, BY TECHNOLOGY, 2017-2026 (USD MILLION) 48
  • TABLE 2 AI IN AGRICULTURE MARKET FOR MACHINE LEARNING TECHNOLOGY, BY REGION, 2017-2026 (USD MILLION) 49
  • TABLE 3 AI IN AGRICULTURE MARKET FOR COMPUTER VISION TECHNOLOGY, BY REGION, 2017-2026 (USD MILLION) 51
  • TABLE 4 AI IN AGRICULTURE MARKET FOR PREDICTIVE ANALYTICS TECHNOLOGY, BY REGION, 2017-2026 (USD MILLION) 51
  • TABLE 5 AI IN AGRICULTURE MARKET, BY OFFERING, 2017-2026 (USD MILLION) 53
  • TABLE 6 AI IN AGRICULTURE MARKET FOR HARDWARE, BY TYPE, 2017-2026 (USD MILLION) 54
  • TABLE 7 AI IN AGRICULTURE MARKET FOR HARDWARE, BY REGION, 2017-2026 (USD MILLION) 55
  • TABLE 8 AI IN AGRICULTURE MARKET FOR PROCESSOR, BY TYPE, 2017-2026 (USD MILLION) 55
  • TABLE 9 AI IN AGRICULTURE MARKET FOR SOFTWARE, BY TYPE, 2017-2026 (USD MILLION) 57
  • TABLE 10 AI IN AGRICULTURE MARKET FOR SOFTWARE, BY REGION, 2017-2026 (USD MILLION) 57
  • TABLE 11 AI PLATFORM MARKET, BY PLATFORM TYPE, 2017-2026 (USD MILLION) 58
  • TABLE 12 AI SOLUTION MARKET, BY DEPLOYMENT TYPE, 2017-2026 (USD MILLION) 59
  • TABLE 13 AI IN AGRICULTURE MARKET FOR SERVICES, BY TYPE, 2017-2026 (USD MILLION) 60
  • TABLE 14 AI IN AGRICULTURE MARKET FOR SERVICES, BY REGION, 2017-2026 (USD MILLION) 60
  • TABLE 15 AI IN AGRICULTURE MARKET, BY APPLICATION, 2017-2026 (USD MILLION) 63
  • TABLE 16 PRECISION FARMING: AI IN AGRICULTURE MARKET, BY REGION 2017-2026 (USD MILLION) 64
  • TABLE 17 PRECISION FARMING: AI IN AGRICULTURE MARKET, BY TYPE, 2017-2026 (USD MILLION) 65
  • TABLE 18 PRECISION FARMING: AI IN AGRICULTURE MARKET IN AMERICAS, BY REGION, 2017-2026 (USD MILLION) 65
  • TABLE 19 PRECISION FARMING: AI IN AGRICULTURE MARKET IN NORTH AMERICA, BY COUNTRY, 2017-2026 (USD MILLION) 65
  • TABLE 20 PRECISION FARMING: AI IN AGRICULTURE MARKET IN SOUTH AMERICA, BY COUNTRY, 2017-2026 (USD MILLION) 66
  • TABLE 21 PRECISION FARMING: AI IN AGRICULTURE MARKET IN EUROPE, BY COUNTRY, 2017-2026 (USD MILLION) 66
  • TABLE 22 PRECISION FARMING: AI IN AGRICULTURE MARKET IN ASIA PACIFIC, BY COUNTRY, 2017-2026 (USD MILLION) 67
  • TABLE 23 PRECISION FARMING: AI IN AGRICULTURE MARKET IN ROW, BY REGION, 2017-2026 (USD MILLION) 67
  • TABLE 24 LIVESTOCK MONITORING: AI IN AGRICULTURE MARKET, BY REGION, 2017-2026 (USD MILLION) 70
  • TABLE 25 LIVESTOCK MONITORING: AI IN AGRICULTURE MARKET IN AMERICAS, BY REGION, 2017-2026 (USD MILLION) 70
  • TABLE 26 LIVESTOCK MONITORING: AI IN AGRICULTURE MARKET IN NORTH AMERICA, BY COUNTRY, 2017-2026, (USD MILLION) 70
  • TABLE 27 LIVESTOCK MONITORING: AI IN AGRICULTURE MARKET IN SOUTH AMERICA, BY COUNTRY, 2017-2026 (USD MILLION) 71
  • TABLE 28 LIVESTOCK MONITORING: AI IN AGRICULTURE MARKET IN EUROPE, BY COUNTRY, 2017-2026 (USD MILLION) 71
  • TABLE 29 LIVESTOCK MONITORING: AI IN AGRICULTURE MARKET IN ASIA PACIFIC, BY COUNTRY, 2017-2026 (USD MILLION) 71
  • TABLE 30 LIVESTOCK MONITORING: AI IN AGRICULTURE MARKET IN ROW, BY REGION, 2017-2026 (USD MILLION) 72
  • TABLE 31 DRONE ANALYTICS: AI IN AGRICULTURE MARKET, BY REGION, 2017-2026 (USD MILLION) 73
  • TABLE 32 DRONE ANALYTICS: AI IN AGRICULTURE MARKET IN AMERICAS, BY REGION, 2017-2026 (USD MILLION) 73
  • TABLE 33 DRONE ANALYTICS: AI IN AGRICULTURE MARKET IN NORTH AMERICA, BY COUNTRY, 2017-2026 (USD MILLION) 74
  • TABLE 34 DRONE ANALYTICS: AI IN AGRICULTURE MARKET IN SOUTH AMERICA, BY COUNTRY, 2017-2026 (USD MILLION) 74
  • TABLE 35 DRONE ANALYTICS: AI IN AGRICULTURE MARKET IN EUROPE, BY COUNTRY, 2017-2026 (USD MILLION) 74
  • TABLE 36 DRONE ANALYTICS: AI IN AGRICULTURE MARKET IN ASIA PACIFIC, BY COUNTRY, 2017-2026 (USD MILLION) 75
  • TABLE 37 DRONE ANALYTICS: AI IN AGRICULTURE MARKET IN ROW, BY REGION, 2017-2026 (USD MILLION) 75
  • TABLE 38 AGRICULTURE ROBOTS: AI IN AGRICULTURE MARKET, BY REGION, 2017-2026 (USD MILLION) 76
  • TABLE 39 AGRICULTURE ROBOTS: AI IN AGRICULTURE MARKET IN AMERICAS, BY REGION, 2017-2026 (USD MILLION) 76
  • TABLE 40 AGRICULTURE ROBOTS: AI IN AGRICULTURE MARKET IN NORTH AMERICA, BY COUNTRY, 2017-2026 (USD MILLION) 77
  • TABLE 41 AGRICULTURE ROBOTS: AI IN AGRICULTURE MARKET IN SOUTH AMERICA, BY COUNTRY, 2017-2026 (USD MILLION) 77
  • TABLE 42 AGRICULTURE ROBOTS: AI IN AGRICULTURE MARKET IN EUROPE, BY COUNTRY, 2017-2026 (USD MILLION) 77
  • TABLE 43 AGRICULTURE ROBOTS: AI IN AGRICULTURE MARKET IN ASIA PACIFIC, BY COUNTRY, 2017-2026 (USD MILLION) 78
  • TABLE 44 AGRICULTURE ROBOTS: AI IN AGRICULTURE MARKET IN ROW, BY REGION, 2017-2026 (USD MILLION) 78
  • TABLE 45 LABOR MANAGEMENT: AI IN AGRICULTURE MARKET, BY REGION, 2017-2026 (USD MILLION) 79
  • TABLE 46 LABOR MANAGEMENT: AI IN AGRICULTURE MARKET IN AMERICAS, BY REGION, 2017-2026 (USD MILLION) 79
  • TABLE 47 LABOR MANAGEMENT: AI IN AGRICULTURE MARKET IN NORTH AMERICA, BY COUNTRY, 2017-2026 (USD MILLION) 80
  • TABLE 48 LABOR MANAGEMENT: AI IN AGRICULTURE MARKET IN SOUTH AMERICA, BY COUNTRY, 2017-2026 (USD MILLION) 80
  • TABLE 49 LABOR MANAGEMENT: AI IN AGRICULTURE MARKET IN EUROPE, BY COUNTRY, 2017-2026 (USD MILLION) 81
  • TABLE 50 LABOR MANAGEMENT: AI IN AGRICULTURE MARKET IN ASIA PACIFIC, BY COUNTRY, 2017-2026 (USD MILLION) 81
  • TABLE 51 LABOR MANAGEMENT: AI IN AGRICULTURE MARKET IN ROW, BY REGION, 2017-2026 (USD MILLION) 81
  • TABLE 52 OTHER APPLICATIONS: AI IN AGRICULTURE MARKET, BY REGION, 2017-2026 (USD MILLION) 84
  • TABLE 53 OTHER APPLICATIONS: AI IN AGRICULTURE MARKET IN AMERICAS, BY REGION, 2017-2026 (USD MILLION) 84
  • TABLE 54 OTHER APPLICATIONS: AI IN AGRICULTURE MARKET IN NORTH AMERICA, BY COUNTRY, 2017-2026 (USD MILLION) 84
  • TABLE 55 OTHER APPLICATIONS: AI IN AGRICULTURE MARKET IN SOUTH AMERICA, BY COUNTRY, 2017-2026 (USD MILLION) 85
  • TABLE 56 OTHER APPLICATIONS: AI IN AGRICULTURE MARKET IN EUROPE, BY COUNTRY, 2017-2026 (USD MILLION) 85
  • TABLE 57 OTHER APPLICATIONS: AI IN AGRICULTURE MARKET IN ASIA PACIFIC, BY COUNTRY, 2017-2026 (USD MILLION) 85
  • TABLE 58 OTHER APPLICATIONS: AI IN AGRICULTURE MARKET IN ROW, BY REGION, 2017-2026 (USD MILLION) 86
  • TABLE 59 ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET, BY REGION, 2017-2026 (USD MILLION) 89
  • TABLE 60 AI IN AGRICULTURE MARKET IN AMERICAS, BY APPLICATION, 2017-2026 (USD MILLION) 91
  • TABLE 61 AI IN AGRICULTURE MARKET IN AMERICAS, BY TECHNOLOGY, 2017-2026 (USD MILLION) 91
  • TABLE 62 AI IN AGRICULTURE MARKET IN AMERICAS, BY OFFERING, 2017-2026 (USD MILLION) 91
  • TABLE 63 AI IN AGRICULTURE MARKET IN AMERICAS, BY REGION, 2017-2026 (USD MILLION) 92
  • TABLE 64 AI IN AGRICULTURE MARKET IN NORTH AMERICA, BY COUNTRY, 2017-2026 (USD MILLION) 92
  • TABLE 65 AI IN AGRICULTURE MARKET IN SOUTH AMERICA, BY COUNTRY, 2017-2026 (USD MILLION) 94
  • TABLE 66 AI IN AGRICULTURE MARKET IN EUROPE, BY APPLICATION, 2017-2026 (USD MILLION) 97
  • TABLE 67 AI IN AGRICULTURE MARKET IN EUROPE, BY TECHNOLOGY, 2017-2026 (USD MILLION) 97
  • TABLE 68 AI IN AGRICULTURE MARKET IN EUROPE, BY OFFERING, 2017-2026 (USD MILLION) 97
  • TABLE 69 AI IN AGRICULTURE MARKET IN EUROPE, BY COUNTRY, 2017-2026 (USD MILLION) 98
  • TABLE 70 AI IN AGRICULTURE MARKET IN ASIA PACIFIC, BY APPLICATION, 2017-2026 (USD MILLION) 101
  • TABLE 71 AI IN AGRICULTURE MARKET IN ASIA PACIFIC, BY TECHNOLOGY, 2017-2026 (USD MILLION) 101
  • TABLE 72 AI IN AGRICULTURE MARKET IN ASIA PACIFIC, BY OFFERING, 2017-2026 (USD MILLION) 101
  • TABLE 73 AI IN AGRICULTURE MARKET IN ASIA PACIFIC, BY COUNTRY, 2017-2026 (USD MILLION) 102
  • TABLE 74 AI IN AGRICULTURE MARKET IN ROW, BY APPLICATION, 2017-2026 (USD MILLION) 104
  • TABLE 75 AI IN AGRICULTURE MARKET IN ROW, BY TECHNOLOGY, 2017-2026 (USD MILLION) 104
  • TABLE 76 AI IN AGRICULTURE MARKET IN ROW, BY OFFERING, 2017-2026 (USD MILLION) 105
  • TABLE 77 AI IN AGRICULTURE MARKET IN ROW, BY REGION, 2017-2026 (USD MILLION) 105
  • TABLE 78 RANKING ANALYSIS OF TOP 5 PLAYERS IN AI IN AGRICULTURE MARKET 108
  • TABLE 79 PRODUCT LAUNCHES AND DEVELOPMENTS, AUGUST 2018- DECEMBER 2019 109
  • TABLE 80 PARTNERSHIPS, AGREEMENTS, AND COLLABORATIONS, NOVEMBER 2019-MARCH 2020 110
  • TABLE 81 ACQUISITIONS, SEPTEMBER 2017-SEPTEMBER 2018 111

LIST OF FIGURES

  • FIGURE 1 ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SEGMENTATION 19
  • FIGURE 2 ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET: RESEARCH DESIGN 22
  • FIGURE 3 MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP APPROACH 27
  • FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY: TOP-DOWN APPROACH 28
  • FIGURE 5 MARKET BREAKDOWN AND DATA TRIANGULATION 29
  • FIGURE 6 ASSUMPTIONS FOR RESEARCH STUDY 30
  • FIGURE 7 GLOBAL AI IN AGRICULTURE MARKET SIZE, 2017-2026 (USD MILLION) 32
  • FIGURE 8 BY OFFERING, SOFTWARE SEGMENT TO HOLD THE LARGEST MARKET SIZE DURING THE FORECAST PERIOD 33
  • FIGURE 9 BY APPLICATION, DRONE ANALYTICS SEGMENT TO GROW AT THE HIGHEST RATE DURING THE FORECAST PERIOD 33
  • FIGURE 10 BY TECHNOLOGY, COMPUTER VISION SEGMENT TO GROW AT THE HIGHEST RATE DURING THE FORECAST PERIOD 34
  • FIGURE 11 AI IN AGRICULTURE MARKET IN APAC EXPECTED TO GROW AT THE HIGHEST RATE DURING THE FORECAST PERIOD 35
  • FIGURE 12 AI IN AGRICULTURE MARKET IS PROJECTED TO WITNESS A HIGH GROWTH RATE BETWEEN 2020 AND 2026 36
  • FIGURE 13 SOFTWARE HELD THE LARGEST MARKET SHARE IN 2019 36
  • FIGURE 14 MACHINE LEARNING TECHNOLOGY TO HOLD THE LARGEST MARKET SIZE DURING THE FORECAST PERIOD 37
  • FIGURE 15 AUSTRALIA EXPECTED TO HOLD THE LARGEST MARKET SHARE IN APAC IN 2019 37
  • FIGURE 16 US HELD THE LARGEST SHARE OF THE AI IN AGRICULTURE MARKET IN 2019 38
  • FIGURE 17 ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES 39
  • FIGURE 18 AMOUNT OF DATA GENERATED BY IOT-CONNECTED FARMS GLOBALLY, PER DAY 41
  • FIGURE 19 VALUE CHAIN ANALYSIS: MAJOR VALUE IS ADDED DURING COMPONENT DEVELOPMENT AND DEVICE INTEGRATION PHASE 45
  • FIGURE 20 COMPUTER VISION TECHNOLOGY TO REGISTER THE HIGHEST CAGR BETWEEN 2020 AND 2026 48
  • FIGURE 21 AMERICAS TO HOLD THE LARGEST MARKET SIZE FOR COMPUTER VISION TECHNOLOGY BETWEEN 2020 AND 2026 50
  • FIGURE 22 HARDWARE SEGMENT TO GROW AT THE HIGHEST RATE BETWEEN 2020 AND 2026 53
  • FIGURE 23 BY SOFTWARE, AI PLATFORM EXPECTED TO WITNESS A HIGHER CAGR THAN AI SOLUTION DURING THE FORECAST PERIOD 57
  • FIGURE 24 AMERICAS TO HOLD THE LARGEST SIZE OF THE AI IN AGRICULTURE MARKET FOR SERVICES DURING THE FORECAST PERIOD 60
  • FIGURE 25 DRONE ANALYTICS APPLICATION PROJECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD 63
  • FIGURE 26 MARKET FOR PRECISION FARMING APPLICATION IN REST OF EUROPE EXPECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD 66
  • FIGURE 27 AMERICAS TO DOMINATE THE AI IN AGRICULTURE MARKET FOR LIVESTOCK MONITORING APPLICATION BETWEEN 2020 AND 2026 69
  • FIGURE 28 ASIA PACIFIC TO EXHIBIT THE HIGHEST GROWTH IN THE AI IN AGRICULTURE MARKET FOR DRONE ANALYTICS APPLICATION DURING THE FORECAST PERIOD 73
  • FIGURE 29 AMERICAS TO HOLD THE LARGEST MARKET SIZE FOR AGRICULTURE ROBOTS APPLICATION BY 2026 76
  • FIGURE 30 LABOR MANAGEMENT APPLICATION IN MEXICO TO GROW AT THE HIGHEST RATE DURING THE FORECAST PERIOD 80
  • FIGURE 31 AMERICAS TO ACCOUNT FOR THE LARGEST SIZE OF THE AI IN AGRICULTURE MARKET IN OTHER APPLICATIONS BY 2026 83
  • FIGURE 32 GEOGRAPHIC SNAPSHOT: RAPIDLY GROWING ECONOMIES, SUCH AS AUSTRALIA, CHINA, AND INDIA, ARE EMERGING AS NEW HOTSPOTS FOR THE AI IN AGRICULTURE MARKET 88
  • FIGURE 33 AMERICAS: AI IN AGRICULTURE MARKET SNAPSHOT 90
  • FIGURE 34 EUROPE: AI IN AGRICULTURE MARKET SNAPSHOT 96
  • FIGURE 35 ASIA PACIFIC: AI IN AGRICULTURE MARKET SNAPSHOT 100
  • FIGURE 36 PARTNERSHIPS, AGREEMENTS, AND COLLABORATIONS WERE KEY GROWTH STRATEGIES ADOPTED BY COMPANIES FROM SEPTEMBER 2017 TO MARCH 2020 107
  • FIGURE 37 AI IN AGRICULTURE MARKET (GLOBAL) COMPETITIVE LEADERSHIP MAPPING, 2019 112
  • FIGURE 38 IBM: COMPANY SNAPSHOT 114
  • FIGURE 39 DEERE & COMPANY: COMPANY SNAPSHOT 117
  • FIGURE 40 MICROSOFT: COMPANY SNAPSHOT 120
目次
Product Code: SE 5832

The AI in agriculture market is projected to grow at a CAGR of 25.5% from 2020 to 2026.

The overall AI in agriculture market is estimated to be USD 1.0 billion in 2020 and is projected to reach USD 4.0 billion by 2026, at a CAGR of 25.5% between 2020 and 2026. The market growth is propelled by the increasing implementation of data generation through sensors and aerial images for crops, increasing crop productivity through deep-learning technology, and government support for the adoption of modern agricultural techniques. However, the high cost of gathering precise field data restrains the market growth. Developing countries, such as China, Brazil, and India, are likely to provide an opportunity for the players in the AI in agriculture market due to the increasing use of unmanned aerial vehicles/drones by these countries in their agricultural farms.

By technology, the machine learning segment is estimated to account for the largest share of the AI in agriculture market during the forecast period.

Machine learning-enabled solutions are being significantly adopted by agricultural organizations and farmers worldwide to enhance farm productivity and to gain a competitive edge in business operations. In the coming years, the application of machine learning in various agricultural practices is expected to rise exponentially.

By offering, the AI-as-a-Service segment is projected to register the highest CAGR from 2020 to 2026.

Increasing demand for machine learning tool kits and applications that are available in AI-based services, along with benefits, such as advanced infrastructure at minimal cost, transparency in business operations, and better scalability, is leading to the growth of the AI-as-a-Service segment.

By application, the precision farming segment held the largest market size in 2019.

Precision farming involves the usage of innovative artificial intelligence (AI) technologies, such as machine learning, computer vision, and predictive analytics tools, for increasing agriculture productivity. It comprises a technology-driven analysis of data acquired from the fields for increasing crop productivity. Precision farming helps in managing variations in the field accurately, thus enabling the growth of more crops using fewer resources and at reduced production costs. Precision devices integrated with AI technologies help in collecting farm-related data, thereby helping the farmers make better decisions and increase the productivity of their lands

Breakdown of profiles of primary participants:

  • By Company Type: Tier 1 - 35%, Tier 2 - 40%, and Tier 3 - 25%
  • By Designation: C-level Executives - 57%, Directors - 29%, and Others - 14%
  • By Region: Americas - 40%, Europe - 30%, Asia Pacific (APAC)- 20%, and Rest of the World (RoW) - 10%

International Business Machines Corp. (IBM) (US), Deere & Company (John Deere) (US), Microsoft Corporation (Microsoft) (US), Farmers Edge Inc. (Farmers Edge) (Canada), The Climate Corporation (Climate Corp.) (US), ec2ce (ec2ce) (Spain), Descartes Labs, Inc. (Descartes Labs) (US), AgEagle Aerial Systems (AgEagle) (US), and aWhere Inc. (aWhere) (US) are the prominent players in the AI in agriculture market

Research Coverage:

The AI in agriculture market has been segmented based on technology, offering, application, and geography.

Reasons to Buy the Report:

  • This report includes statistics pertaining to the AI in agriculture market based on technology, offering, application, and geography.
  • The report includes detailed information on major drivers, restraints, opportunities, and challenges pertaining to the market.
  • The report also includes illustrative segmentation, analysis, and forecast for the AI in agriculture market based on its segments and subsegments.

TABLE OF CONTENTS

1 INTRODUCTION 18

  • 1.1 STUDY OBJECTIVES 18
  • 1.2 DEFINITION 18
  • 1.3 STUDY SCOPE 19
    • 1.3.1 MARKETS COVERED 19
    • 1.3.2 GEOGRAPHIC SCOPE 19
  • 1.4 YEARS CONSIDERED FOR STUDY 20
  • 1.5 CURRENCY 20
  • 1.6 LIMITATIONS 20
  • 1.7 STAKEHOLDERS 20

2 RESEARCH METHODOLOGY 22

  • 2.1 RESEARCH DATA 22
    • 2.1.1 SECONDARY DATA 23
      • 2.1.1.1 Major secondary sources 23
      • 2.1.1.2 Key data from secondary sources 24
    • 2.1.2 PRIMARY DATA 24
      • 2.1.2.1 Primary interviews with experts 24
      • 2.1.2.2 Breakdown of primaries 25
      • 2.1.2.3 Key data from primary sources 25
      • 2.1.2.4 Key industry insights 26
    • 2.1.3 SECONDARY AND PRIMARY RESEARCH 26
  • 2.2 MARKET SIZE ESTIMATION 27
    • 2.2.1 BOTTOM-UP APPROACH 27
      • 2.2.1.1 Approach for capturing market share by bottom-up analysis (demand side) 27
    • 2.2.2 TOP-DOWN APPROACH 28
      • 2.2.2.1 Approach for capturing market share by top-down analysis (supply side) 28
  • 2.3 MARKET BREAKDOWN AND DATA TRIANGULATION 29
  • 2.4 RESEARCH ASSUMPTIONS 30

3 EXECUTIVE SUMMARY 31

4 PREMIUM INSIGHTS 36

  • 4.1 ATTRACTIVE OPPORTUNITIES FOR THE AI IN AGRICULTURE MARKET 36
  • 4.2 AI IN AGRICULTURE MARKET, BY OFFERING 36
  • 4.3 AI IN AGRICULTURE MARKET, BY TECHNOLOGY 37
  • 4.4 AI IN AGRICULTURE MARKET FOR APAC, BY APPLICATION & COUNTRY 37
  • 4.5 AI IN AGRICULTURE MARKET, BY GEOGRAPHY 38

5 MARKET OVERVIEW 39

  • 5.1 INTRODUCTION 39
  • 5.2 MARKET DYNAMICS 39
    • 5.2.1 DRIVERS 40
      • 5.2.1.1 Increasing strain on global food supply owing to rising population 40
      • 5.2.1.2 Increasing implementation of data generation through sensors and aerial images for crops 41
      • 5.2.1.3 Increasing crop productivity through deep learning technology 41
      • 5.2.1.4 Government support to adopt modern agricultural techniques 42
    • 5.2.2 RESTRAINTS 42
      • 5.2.2.1 High cost of gathering precise field data 42
    • 5.2.3 OPPORTUNITIES 43
      • 5.2.3.1 Developing countries to offer significant growth opportunities 43
      • 5.2.3.2 Use of AI solutions to manage small farms (less than 5 hectares) 43
    • 5.2.4 CHALLENGES 44
      • 5.2.4.1 Lack of standardization 44
      • 5.2.4.2 Lack of awareness about AI among farmers 44
      • 5.2.4.3 Limited availability of historical data 45
  • 5.3 VALUE CHAIN ANALYSIS 45
  • 5.4 IMPACT OF COVID-19 ON AI IN AGRICULTURE MARKET 46

6 ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET, BY TECHNOLOGY 47

  • 6.1 INTRODUCTION 48
  • 6.2 MACHINE LEARNING 49
    • 6.2.1 MACHINE LEARNING TECHNOLOGY TO HOLD THE LARGEST SHARE OF AI IN AGRICULTURE MARKET 49
  • 6.3 COMPUTER VISION 50
    • 6.3.1 COMPUTER VISION TECHNOLOGY IS EXPECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD 50
  • 6.4 PREDICTIVE ANALYTICS 51
    • 6.4.1 INCREASING PREDICTIVE ANALYTICS APPLICATIONS IS EXPECTED TO DRIVE THE GROWTH OF AI IN AGRICULTURE MARKET 51

7 ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET, BY OFFERING 52

  • 7.1 INTRODUCTION 53
  • 7.2 HARDWARE 54
    • 7.2.1 TECHNOLOGICAL ADVANCEMENTS IN THE HARDWARE SEGMENT IS LEADING TO THE WIDESPREAD ADOPTION OF AI IN AGRICULTURE 54
    • 7.2.2 PROCESSOR 55
    • 7.2.3 STORAGE DEVICE 56
    • 7.2.4 NETWORK 56
  • 7.3 SOFTWARE 56
    • 7.3.1 AI IN AGRICULTURE MARKET FOR SOFTWARE SEGMENT IS PROJECTED TO HOLD THE LARGEST MARKET SHARE DURING THE FORECAST PERIOD 56
    • 7.3.2 AI PLATFORM 58
    • 7.3.3 AI SOLUTION 59
  • 7.4 AI-AS-A-SERVICE 59
    • 7.4.1 AI-AS-A-SERVICE SEGMENT IS EXPECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD 59
  • 7.5 SERVICES 59
    • 7.5.1 INCREASING REQUIREMENT OF ONLINE AND OFFLINE SUPPORT SERVICES IS LEADING TO THE GROWTH OF THIS SEGMENT 59
    • 7.5.2 DEPLOYMENT & INTEGRATION 61
    • 7.5.3 SUPPORT & MAINTENANCE 61

8 ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET, BY APPLICATION 62

  • 8.1 INTRODUCTION 63
  • 8.2 PRECISION FARMING 64
    • 8.2.1 PRECISION FARMING IS EXPECTED TO HOLD THE LARGEST MARKET SHARE DURING THE FORECAST PERIOD 64
    • 8.2.2 YIELD MONITORING 67
    • 8.2.3 FIELD MAPPING 68
    • 8.2.4 CROP SCOUTING 68
    • 8.2.5 WEATHER TRACKING & FORECASTING 68
    • 8.2.6 IRRIGATION MANAGEMENT 68
  • 8.3 LIVESTOCK MONITORING 69
    • 8.3.1 INCREASING LIVESTOCK MONITORING APPLICATIONS IS DRIVING THE GROWTH OF THIS SEGMENT 69
  • 8.4 DRONE ANALYTICS 72
    • 8.4.1 DRONE ANALYTICS APPLICATION EXPECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD 72
  • 8.5 AGRICULTURE ROBOTS 75
    • 8.5.1 INCREASED DEEP LEARNING CAPABILITIES OF AGRICULTURE ROBOTS IS DRIVING THE GROWTH OF THIS SEGMENT 75
  • 8.6 LABOR MANAGEMENT 78
    • 8.6.1 MAJOR BENEFITS SUCH AS REDUCED PRODUCTION COSTS DUE TO LABOR MANAGEMENT APPLICATION IS LEADING TO THE GROWTH OF THIS SEGMENT 78
  • 8.7 OTHERS 82
    • 8.7.1 SMART GREENHOUSE MANAGEMENT 82
    • 8.7.2 SOIL MANAGEMENT 82
      • 8.7.2.1 Moisture monitoring 83
      • 8.7.2.2 Nutrient monitoring 83
    • 8.7.3 FISH FARMING MANAGEMENT 83

9 GEOGRAPHIC ANALYSIS 87

  • 9.1 INTRODUCTION 88
  • 9.2 AMERICAS 89
    • 9.2.1 NORTH AMERICA 92
      • 9.2.1.1 US 92
        • 9.2.1.1.1 US projected to account for the largest size of the AI in agriculture market in North America 92
      • 9.2.1.2 Canada 93
        • 9.2.1.2.1 Increasing AI technology adoption is leading to the growth of Canadian AI in agriculture market 93
      • 9.2.1.3 Mexico 93
        • 9.2.1.3.1 AI in agriculture market in Mexico is projected to grow at the highest CAGR during the forecast period 93
    • 9.2.2 SOUTH AMERICA 93
      • 9.2.2.1 Brazil 94
        • 9.2.2.1.1 Brazil expected to hold the largest share in the South American AI in agriculture market 94
      • 9.2.2.2 Argentina 94
        • 9.2.2.2.1 Expanding industrial production in Argentina is driving the market 94
      • 9.2.2.3 Rest of South America 95
  • 9.3 EUROPE 95
    • 9.3.1 UK 98
      • 9.3.1.1 Increasing adoption of AI-based solutions for agriculture is driving the UK market 98
    • 9.3.2 GERMANY 98
      • 9.3.2.1 Germany held the largest share of European AI in agriculture market in 2019 98
    • 9.3.3 FRANCE 98
      • 9.3.3.1 Increasing number of start-ups developing AI solutions for agriculture is driving the market in Europe 98
    • 9.3.4 ITALY 99
      • 9.3.4.1 AI in agriculture market in Italy is growing steadily to overcome drastic climate conditions 99
    • 9.3.5 SPAIN 99
      • 9.3.5.1 Favorable government policies are driving the AI in agriculture market in Spain 99
    • 9.3.6 REST OF EUROPE 99
  • 9.4 ASIA PACIFIC 100
    • 9.4.1 AUSTRALIA 102
      • 9.4.1.1 Australia expected to hold the largest share of the AI in agriculture market in APAC 102
    • 9.4.2 CHINA 102
      • 9.4.2.1 Increasing precision farming applications in China is expected to drive the AI in agriculture market for APAC 102
    • 9.4.3 JAPAN 103
      • 9.4.3.1 In 2019, Japan held the second-largest share of AI in agriculture market in APAC 103
    • 9.4.4 SOUTH KOREA 103
      • 9.4.4.1 Government funding and initiatives are driving the growth of AI in agriculture market in South Korea 103
    • 9.4.5 INDIA 103
      • 9.4.5.1 India is expected to be the fastest-growing AI in agriculture market in APAC 103
    • 9.4.6 REST OF APAC 103
  • 9.5 REST OF THE WORLD 104
    • 9.5.1 INCREASING AWARENESS AMONG FARMERS REGARDING THE BENEFITS OF AI ASSISTED AGRICULTURAL OPERATIONS IS DRIVING THE MARKET IN ROW 104

10 COMPETITIVE LANDSCAPE 106

  • 10.1 OVERVIEW 106
  • 10.2 RANKING ANALYSIS 108
  • 10.3 COMPETITIVE SCENARIO 109
    • 10.3.1 PRODUCT LAUNCHES AND DEVELOPMENTS 109
    • 10.3.2 PARTNERSHIPS, AGREEMENTS, AND COLLABORATIONS 110
    • 10.3.3 MERGERS AND ACQUISITIONS 111
  • 10.4 COMPETITIVE LEADERSHIP MAPPING 111
    • 10.4.1 VISIONARY LEADERS 111
    • 10.4.2 DYNAMIC DIFFERENTIATORS 111
    • 10.4.3 INNOVATORS 111
    • 10.4.4 EMERGING COMPANIES 112

11 COMPANY PROFILES 113

  • 11.1 KEY PLAYERS 113

(Business Overview, Products Offered, Recent Developments, SWOT Analysis, MnM View)*

    • 11.1.1 IBM 113
    • 11.1.2 DEERE & COMPANY 117
    • 11.1.3 MICROSOFT 120
    • 11.1.4 THE CLIMATE CORPORATION 123
    • 11.1.5 FARMERS EDGE 125
    • 11.1.6 GRANULAR 128
    • 11.1.7 AGEAGLE 130
    • 11.1.8 DESCARTES LABS 131
    • 11.1.9 PROSPERA 132
    • 11.1.10 TARANIS 133
    • 11.1.11 AWHERE 134
  • 11.2 RIGHT-TO-WIN 135
  • 11.3 OTHER KEY COMPANIES 138
    • 11.3.1 GAMAYA 138
    • 11.3.2 EC2CE 138
    • 11.3.3 PRECISION HAWK 139
    • 11.3.4 VINEVIEW 139
    • 11.3.5 CAINTHUS 140
    • 11.3.6 TULE TECHNOLOGIES 140
    • 11.3.7 RESSON 140
    • 11.3.8 CONNECTERRA 141
    • 11.3.9 VISION ROBOTICS 141
    • 11.3.10 FARMBOT 142
    • 11.3.11 HARVEST CROO 142
    • 11.3.12 PEAT 143
    • 11.3.13 AUTONOMOUS TRACTOR CORPORATION 143
    • 11.3.14 TRACE GENOMICS 143
    • 11.3.15 CROPX TECHNOLOGIES 144

Business Overview, Products Offered, Recent Developments, SWOT Analysis, MnM View might not be captured in case of unlisted companies.

12 APPENDIX 145

  • 12.1 INSIGHTS OF INDUSTRY EXPERTS 145
  • 12.2 DISCUSSION GUIDE 146
  • 12.3 KNOWLEDGE STORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL 149
  • 12.4 AVAILABLE CUSTOMIZATIONS 151
  • 12.5 RELATED REPORTS 151
  • 12.6 AUTHOR DETAILS 152