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農業における人工知能 (AI) の世界市場予測 2025年:マシンラーニング・コンピュータービジョン・予測分析

AI in Agriculture Market by Technology (Machine Learning, Computer Vision, Predictive Analytics), Offering, Application (Precision Farming, Drone Analytics, Agriculture Robots, Livestock Monitoring), Offering, and Geography - Global Forecast to 2025

発行 MarketsandMarkets 商品コード 593779
出版日 ページ情報 英文 165 Pages
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本日の銀行送金レート: 1USD=111.24円で換算しております。
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農業における人工知能 (AI) の世界市場予測 2025年:マシンラーニング・コンピュータービジョン・予測分析 AI in Agriculture Market by Technology (Machine Learning, Computer Vision, Predictive Analytics), Offering, Application (Precision Farming, Drone Analytics, Agriculture Robots, Livestock Monitoring), Offering, and Geography - Global Forecast to 2025
出版日: 2017年12月14日 ページ情報: 英文 165 Pages
概要

農業市場における人工知能 (AI) の規模は、2017年の5億1,870万米ドルから2025年までに26億2,850万米ドルへ、22.5%のCAGR (年間複合成長率) で拡大すると予測されています。同市場における主な成長の促進要因は、人口増加による農業生産需要の増大、農作物の生産性工場に向けた情報管理システム・先進技術の導入拡大、および世界における近代的な農業技術の導入をサポートする政府支援の拡大などです。精密なフィールドデータを収集するためのコストが高額であることは、農業市場におけるAIの成長を抑制する主な要因となっています。

当レポートでは、世界の農業市場における人工知能 (AI) について調査し、市場の概要、各セグメント・地域別の市場規模の推移と予測、市場成長への各種影響因子および市場機会の分析、競合環境、主要企業のプロファイルなど、体系的な情報を提供しています。

FIGURE 18 BLOOD GLUCOSE MONITORING SYSTEMS MARKET

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

  • 農業市場におけるAIの魅力的な機会
  • 農業市場におけるAI:用途別
  • 農業市場におけるAI:地域別
  • 農業市場におけるAI:提供品/サービス別
  • 農業市場におけるAI:技術別

第5章 市場概要

  • イントロダクション
  • 市場力学
    • 成長推進因子
    • 成長阻害因子
    • 機会
    • 課題

第6章 産業動向

  • イントロダクション
  • バリューチェーン分析
  • 産業動向

第7章 農業市場における人工知能 (AI) :技術別

  • イントロダクション
  • マシンラーニング
  • コンピュータービジョン
  • 予測分析

第8章 農業市場における人工知能 (AI) :提供品/サービス別

  • イントロダクション
  • ハードウェア
    • プロセッサー
    • ストレージデバイス
    • ネットワーク
  • ソフトウェア
    • AIプラットフォーム
    • AIソリューション
  • AI・アズ・ア・サービス
  • サービス
    • 展開・統合
    • サポート・メンテナンス

第9章 農業市場における人工知能 (AI) :用途別

  • イントロダクション
  • 精密農業
    • 生産量モニタリング
    • フィールドマッピング
    • 農作物スカウティング
    • 気象トラッキング・予測
    • 灌漑管理
  • 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
  • その他の用途
    • スマートグリーンハウスアプリケーション
    • 土壌管理
    • 養魚業用途

第10章 地域分析

  • イントロダクション
  • 南北アメリカ
  • 欧州
  • アジア太平洋 (APAC)
  • その他 (ROW)

第11章 競合環境

  • イントロダクション
  • 市場ランキング
  • 競合シナリオ
  • 競合状況・動向

第12章 企業プロファイル

  • イントロダクション
  • IBM
  • DEERE & COMPANY
  • MICROSOFT
  • AGRIBOTIX
  • THE CLIMATE CORPORATION (MONSANTOの子会社)
  • GRANULAR
  • DESCARTES LABS
  • PROSPERA
  • MAVRX
  • AWHERE
  • 主な革新的企業
  • その他の企業

第13章 付録

図表

LIST OF TABLES

  • TABLE 1: AI IN AGRICULTURE MARKET, BY TECHNOLOGY, 2014-2025 (USD MILLION)
  • TABLE 2: AI IN AGRICULTURE MARKET FOR MACHINE LEARNING TECHNOLOGY, BY REGION, 2014-2025 (USD MILLION)
  • TABLE 3: AI IN AGRICULTURE MARKET FOR COMPUTER VISION TECHNOLOGY, BY REGION, 2014-2025 (USD MILLION)
  • TABLE 4: AI IN AGRICULTURE MARKET FOR PREDICTIVE ANALYTICS TECHNOLOGY, BY REGION, 2014-2025 (USD MILLION)
  • TABLE 5: AI IN AGRICULTURE MARKET, BY OFFERING, 2014-2025 (USD MILLION)
  • TABLE 6: AI IN AGRICULTURE MARKET FOR HARDWARE SEGMENT, BY TYPE, 2014-2025 (USD MILLION)
  • TABLE 7: AI IN AGRICULTURE MARKET FOR HARDWARE SEGMENT, BY REGION, 2014-2025 (USD MILLION)
  • TABLE 8: AI IN AGRICULTURE MARKET FOR PROCESSORS, BY TYPE, 2014-2025 (USD MILLION)
  • TABLE 9: AI IN AGRICULTURE MARKET FOR SOFTWARE SEGMENT, BY TYPE, 2014-2025 (USD MILLION)
  • TABLE 10: AI IN AGRICULTURE MARKET FOR SOFTWARE SEGMENT, BY REGION, 2014-2025 (USD MILLION)
  • TABLE 11: MARKET FOR AI PLATFORMS , BY PLATFORM TYPE, 2014-2025 (USD MILLION)
  • TABLE 12: MARKET FOR AI SOLUTIONS , BY DEPLOYMENT TYPE, 2014-2025 (USD MILLION)
  • TABLE 13: AI IN AGRICULTURE MARKET FOR SERVICES, BY TYPE, 2014-2025 (USD MILLION)
  • TABLE 14: AI IN AGRICULTURE MARKET FOR SERVICES, BY REGION, 2014-2025 (USD MILLION)
  • TABLE 15: AI IN AGRICULTURE MARKET, BY APPLICATION, 2014-2025 (USD MILLION)
  • TABLE 16: AI IN AGRICULTURE MARKET FOR PRECISION FARMING APPLICATION, BY REGION 2014-2025 (USD MILLION)
  • TABLE 17: AI IN AGRICULTURE MARKET FOR PRECISION FARMING APPLICATION, BY TYPE, 2014-2025 (USD MILLION)
  • TABLE 18: AI IN AGRICULTURE MARKET FOR PRECISION FARMING APPLICATION IN AMERICAS, BY REGION, 2014-2025 (USD MILLION)
  • TABLE 19: AI IN AGRICULTURE MARKET IN NORTH AMERICA FOR PRECISION FARMING APPLICATION, BY COUNTRY, 2014-2025 (USD MILLION)
  • TABLE 20: AI IN AGRICULTURE MARKET IN SOUTH AMERICA FOR PRECISION FARMING APPLICATION, BY COUNTRY, 2014-2025 (USD MILLION)
  • TABLE 21: AI IN AGRICULTURE MARKET IN EUROPE FOR PRECISION FARMING APPLICATION, BY COUNTRY, 2014-2025 (USD MILLION)
  • TABLE 22: AI IN AGRICULTURE MARKET IN ASIA PACIFIC FOR PRECISION FARMING APPLICATION, BY COUNTRY, 2014-2025 (USD MILLION)
  • TABLE 23: AI IN AGRICULTURE MARKET IN ROW FOR PRECISION FARMING APPLICATION, BY REGION, 2014-2025 (USD MILLION)
  • TABLE 24: AI IN AGRICULTURE MARKET FOR LIVESTOCK MONITORING APPLICATION, BY REGION, 2014-2025 (USD MILLION)
  • TABLE 25: AI IN AGRICULTURE MARKET IN AMERICAS FOR LIVESTOCK MONITORING APPLICATION, BY REGION, 2014-2025 (USD MILLION)
  • TABLE 26: AI IN AGRICULTURE MARKET IN NORTH AMERICA FOR LIVESTOCK MONITORING APPLICATION, BY COUNTRY 2014-2025, (USD MILLION)
  • TABLE 27: AI IN AGRICULTURE MARKET IN SOUTH AMERICA FOR LIVESTOCK MONITORING APPLICATION, BY COUNTRY, 2014-2025 (USD MILLION)
  • TABLE 28: AI IN AGRICULTURE MARKET IN EUROPE FOR LIVESTOCK MONITORING APPLICATION, BY COUNTRY, 2014-2025 (USD MILLION)
  • TABLE 29: AI IN AGRICULTURE MARKET IN ASIA PACIFIC FOR LIVESTOCK MONITORING APPLICATION, BY COUNTRY, 2014-2025 (USD MILLION)
  • TABLE 30: AI IN AGRICULTURE MARKET IN ROW FOR LIVESTOCK MONITORING APPLICATION, BY REGION, 2014-2025 (USD MILLION)
  • TABLE 31: AI IN AGRICULTURE MARKET FOR DRONE ANALYTICS APPLICATION, BY REGION, 2014-2025 (USD MILLION)
  • TABLE 32: AI IN AGRICULTURE MARKET IN AMERICAS FOR DRONE ANALYTICS APPLICATION, BY REGION, 2014-2025 (USD MILLION)
  • TABLE 33: AI IN AGRICULTURE MARKET IN NORTH AMERICA FOR DRONE ANALYTICS APPLICATION, BY COUNTRY, 2014-2025 (USD MILLION)
  • TABLE 34: AI IN AGRICULTURE MARKET IN SOUTH AMERICA FOR DRONE ANALYTICS APPLICATION, BY COUNTRY, 2014-2025 (USD MILLION)
  • TABLE 35: AI IN AGRICULTURE MARKET IN EUROPE FOR DRONE ANALYTICS APPLICATION, BY COUNTRY, 2014-2025 (USD MILLION)
  • TABLE 36: AI IN AGRICULTURE MARKET IN ASIA PACIFIC FOR DRONE ANALYTICS APPLICATION, BY COUNTRY, 2014-2025 (USD MILLION)
  • TABLE 37: AI IN AGRICULTURE MARKET IN ROW FOR DRONE ANALYTICS APPLICATION, BY REGION, 2014-2025 (USD MILLION)
  • TABLE 38: AI IN AGRICULTURE MARKET FOR AGRICULTURE ROBOTS APPLICATION, BY REGION, 2014-2025 (USD MILLION)
  • TABLE 39: AI IN AGRICULTURE MARKET IN AMERICAS FOR AGRICULTURE ROBOTS APPLICATION, BY REGION, 2014-2025 (USD MILLION)
  • TABLE 40: AI IN AGRICULTURE MARKET IN NORTH AMERICA FOR AGRICULTURE ROBOTS APPLICATION, BY COUNTRY, 2014-2025 (USD MILLION)
  • TABLE 41: AI IN AGRICULTURE MARKET IN SOUTH AMERICA FOR AGRICULTURE ROBOTS, BY COUNTRY, 2014-2025 (USD MILLION)
  • TABLE 42: AI IN AGRICULTURE MARKET IN EUROPE FOR AGRICULTURE ROBOTS APPLICATION, BY COUNTRY, 2014-2025 (USD MILLION)
  • TABLE 43: AI IN AGRICULTURE MARKET IN ASIA PACIFIC FOR AGRICULTURE ROBOTS APPLICATION, BY COUNTRY, 2014-2025 (USD MILLION)
  • TABLE 44: AI IN AGRICULTURE MARKET IN ROW FOR AGRICULTURE ROBOTS APPLICATION, BY REGION, 2014-2025 (USD MILLION)
  • TABLE 45: AI IN AGRICULTURE MARKET FOR OTHER APPLICATIONS, BY REGION, 2014-2025 (USD MILLION)
  • TABLE 46: AI IN AGRICULTURE MARKET IN AMERICAS FOR OTHER APPLICATIONS, BY REGION, 2014-2025 (USD MILLION)
  • TABLE 47: AI IN AGRICULTURE MARKET IN NORTH AMERICA FOR OTHER APPLICATIONS, BY COUNTRY, 2014-2025 (USD MILLION)
  • TABLE 48: AI IN AGRICULTURE MARKET IN SOUTH AMERICA FOR OTHER APPLICATIONS, BY COUNTRY, 2014-2025 (USD MILLION)
  • TABLE 49: AI IN AGRICULTURE MARKET IN EUROPE FOR OTHER APPLICATIONS, BY COUNTRY, 2014-2025 (USD MILLION)
  • TABLE 50: AI IN AGRICULTURE MARKET IN ASIA PACIFIC FOR OTHER APPLICATIONS, BY COUNTRY, 2014-2025 (USD MILLION)
  • TABLE 51: AI IN AGRICULTURE MARKET IN ROW FOR OTHER APPLICATIONS, BY REGION, 2014-2025 (USD MILLION)
  • TABLE 52: AI IN AGRICULTURE MARKET, BY REGION, 2014-2025 (USD MILLION)
  • TABLE 53: AI IN AGRICULTURE MARKET IN AMERICAS, BY APPLICATION, 2014-2025 (USD MILLION)
  • TABLE 54: AI IN AGRICULTURE MARKET IN AMERICAS, BY TECHNOLOGY, 2014-2025 (USD MILLION)
  • TABLE 55: AI IN AGRICULTURE MARKET IN AMERICAS, BY OFFERING, 2014-2025 (USD MILLION)
  • TABLE 56: AI IN AGRICULTURE MARKET IN AMERICAS, BY REGION, 2014-2025 (USD MILLION)
  • TABLE 57: AI IN AGRICULTURE MARKET IN NORTH AMERICA, BY COUNTRY, 2014-2025 (USD MILLION)
  • TABLE 58: AI IN AGRICULTURE MARKET IN SOUTH AMERICA, BY COUNTRY, 2014-2025 (USD MILLION)
  • TABLE 59: AI IN AGRICULTURE MARKET IN EUROPE, BY APPLICATION, 2014-2025 (USD MILLION)
  • TABLE 60: AI IN AGRICULTURE MARKET IN EUROPE, BY TECHNOLOGY, 2014-2025 (USD MILLION)
  • TABLE 61: AI IN AGRICULTURE MARKET IN EUROPE, BY OFFERING, 2014-2025 (USD MILLION)
  • TABLE 62: AI IN AGRICULTURE MARKET IN EUROPE, BY COUNTRY, 2014-2025 (USD MILLION)
  • TABLE 63: AI IN AGRICULTURE MARKET IN ASIA PACIFIC, BY APPLICATION, 2014-2025 (USD MILLION)
  • TABLE 64: AI IN AGRICULTURE MARKET IN ASIA PACIFIC, BY TECHNOLOGY, 2014-2025 (USD MILLION)
  • TABLE 65: AI IN AGRICULTURE MARKET IN ASIA PACIFIC, BY OFFERING, 2014-2025 (USD MILLION)
  • TABLE 66: AI IN AGRICULTURE MARKET IN ASIA PACIFIC, BY COUNTRY, 2014-2025 (USD MILLION)
  • TABLE 67: AI IN AGRICULTURE MARKET IN ROW, BY APPLICATION, 2014-2025 (USD MILLION)
  • TABLE 68: AI IN AGRICULTURE MARKET IN ROW, BY TECHNOLOGY, 2014-2025 (USD MILLION)
  • TABLE 69: AI IN AGRICULTURE MARKET IN ROW, BY OFFERING, 2014-2025 (USD MILLION)
  • TABLE 70: AI IN AGRICULTURE MARKET IN ROW, BY REGION, 2014-2025 (USD MILLION)
  • TABLE 71: RANKING ANALYSIS OF THE TOP PLAYERS IN THE ARTIFICIAL INTELLIGENCE (AI) IN AGRICULTURE MARKET, 2016
  • TABLE 72: MARKET EVALUATION FRAMEWORK-PARTNERSHIPS AND AGREEMENTS EMERGED AS MAJOR GROWTH STRATEGIES BETWEEN 2014 AND 2017
  • TABLE 73: PRODUCT LAUNCHES, 2014-2017
  • TABLE 74: PARTNERSHIPS, AGREEMENTS, AND COLLABORATIONS, 2014-2017
  • TABLE 75: MERGERS & ACQUISITIONS, 2014-2017

LIST OF FIGURES

  • FIGURE 1: AI IN AGRICULTURE MARKET SEGMENTATION
  • FIGURE 2: GEOGRAPHIC SCOPE
  • FIGURE 3: AI IN AGRICULTURE MARKET: RESEARCH DESIGN
  • FIGURE 4: MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP APPROACH
  • FIGURE 5: MARKET SIZE ESTIMATION METHODOLOGY: TOP-DOWN APPROACH
  • FIGURE 6: MARKET BREAKDOWN AND DATA TRIANGULATION
  • FIGURE 7: ASSUMPTIONS FOR RESEARCH STUDY
  • FIGURE 8: GLOBAL AI IN AGRICULTURE MARKET, 2014-2025 (USD MILLION)
  • FIGURE 9: SOFTWARE SEGMENT EXPECTED TO HOLD THE LARGEST SIZE OF THE AI IN AGRICULTURE MARKET DURING THE FORECAST PERIOD
  • FIGURE 10: AI IN AGRICULTURE MARKET FOR DRONE ANALYTICS APPLICATION EXPECTED TO GROW AT THE HIGHEST RATE DURING THE FORECAST PERIOD
  • FIGURE 11: COMPUTER VISION TECHNOLOGY EXPECTED TO GROW AT THE HIGHEST RATE DURING THE FORECAST PERIOD
  • FIGURE 12: AI IN AGRICULTURE MARKET IN APAC EXPECTED TO GROW AT THE HIGHEST RATE DURING THE FORECAST PERIOD
  • FIGURE 13: AI IN AGRICULTURE MARKET TO GROW AT A HIGH RATE BETWEEN 2017 AND 2025
  • FIGURE 14: AUSTRALIA TO HOLD THE LARGEST SHARE IN 2017
  • FIGURE 15: US HELD THE LARGEST SHARE OF THE GLOBAL AI IN AGRICULTURE MARKET IN 2016
  • FIGURE 16: SOFTWARE SEGMENT HELD THE LARGEST MARKET SHARE IN 2016
  • FIGURE 17: MACHINE LEARNING TECHNOLOGY EXPECTED TO HOLD THE LARGEST MARKET SIZE DURING THE FORECAST PERIOD
  • FIGURE 18: ARTIFICIAL INTELLIGENCE (AI) IN AGRICULTURE MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
  • FIGURE 19: ESTIMATED AMOUNT OF DATA GENERATED BY THE IOT-CONNECTED FARM EACH DAY (2015-2025)
  • FIGURE 20: SOFTWARE, HARDWARE, AND TESTING SOLUTION PROVIDERS PLAY A CRUCIAL ROLE IN THE VALUE CHAIN OF AI IN AGRICULTURE MARKET
  • FIGURE 21: AI IN AGRICULTURE MARKET FOR COMPUTER VISION TECHNOLOGY EXPECTED TO GROW AT THE HIGHEST CAGR BETWEEN 2017 AND 2025
  • FIGURE 22: AMERICAS TO HOLD THE LARGEST MARKET SIZE FOR COMPUTER VISION TECHNOLOGY DURING 2017-2025
  • FIGURE 23: AI IN AGRICULTURE MARKET IN ASIA PACIFIC FOR PREDICTIVE ANALYTICS TECHNOLOGY EXPECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
  • FIGURE 24: MARKET FOR HARDWARE SEGMENT ESTIMATED TO GROW AT THE HIGHEST CAGR BETWEEN 2017 AND 2025
  • FIGURE 25: AI IN AGRICULTURE MARKET IN ASIA PACIFIC FOR HARDWARE SEGMENT EXPECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
  • FIGURE 26: MARKET FOR AI PLATFORM SOFTWARE EXPECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
  • FIGURE 27: AMERICAS HELD THE LARGEST SIZE OF THE AI IN AGRICULTURE MARKET FOR SERVICES IN 2016
  • FIGURE 28: AI IN AGRICULTURE MARKET, BY APPLICATION, 2017 VS. 2025 (USD MILLION)
  • FIGURE 29: AMERICAS EXPECTED TO HOLD THE LARGEST SIZE OF THE AI IN AGRICULTURE MARKET FOR PRECISION FARMING BY 2025
  • FIGURE 30: AI IN AGRICULTURE MARKET IN MEXICO FOR PRECISION FARMING APPLICATION EXPECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
  • FIGURE 31: AI IN AGRICULTURE MARKET IN GERMANY FOR PRECISION FARMING APPLICATION EXPECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
  • FIGURE 32: AMERICAS EXPECTED TO DOMINATE THE AI IN AGRICULTURE MARKET FOR LIVESTOCK MONITORING APPLICATIONS DURING 2017-2023
  • FIGURE 33: BRAZIL TO ACCOUNT FOR THE LARGEST SIZE OF THE AI IN AGRICULTURE MARKET FOR LIVESTOCK MONITORING APPLICATION BY 2025
  • FIGURE 34: ASIA PACIFIC EXPECTED TO EXHIBIT THE HIGHEST GROWTH IN THE AI IN AGRICULTURE MARKET FOR DRONE ANALYTICS APPLICATION DURING THE FORECAST PERIOD
  • FIGURE 35: BRAZIL LIKELY TO ACCOUNT FOR THE LARGEST SIZE OF THE AI IN AGRICULTURE MARKET FOR DRONE ANALYTICS APPLICATION BY 2025
  • FIGURE 36: AMERICAS TO HOLD THE LARGEST SIZE OF THE AI IN AGRICULTURE MARKET FOR AGRICULTURE ROBOTS APPLICATION BY 2025
  • FIGURE 37: AI IN AGRICULTURE MARKET IN ARGENTINA FOR AGRICULTURE ROBOTS EXPECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
  • FIGURE 38: AMERICAS TO ACCOUNT FOR THE LARGEST SIZE OF THE AI IN AGRICULTURE MARKET FOR OTHER APPLICATIONS BY 2025
  • FIGURE 39: GEOGRAPHIC SNAPSHOT: RAPIDLY GROWING MARKETS SUCH AS AUSTRALIA, CHINA, AND INDIA ARE EMERGING AS NEW HOT SPOTS FOR THE GLOBAL AI IN AGRICULTURE MARKET
  • FIGURE 40: AMERICAS: AI IN AGRICULTURE MARKET SNAPSHOT
  • FIGURE 41: EUROPE: AI IN AGRICULTURE MARKET SNAPSHOT
  • FIGURE 42: APAC: AI IN AGRICULTURE MARKET SNAPSHOT
  • FIGURE 43: PARTNERSHIPS, AGREEMENTS, & ACQUISITIONS EMERGED AS KEY GROWTH STRATEGIES ADOPTED BY COMPANIES BETWEEN 2014 AND 2017
  • FIGURE 44: GEOGRAPHIC REVENUE MIX OF MAJOR MARKET PLAYERS
  • FIGURE 45: IBM : COMPANY SNAPSHOT
  • FIGURE 46: DEERE & COMPANY: COMPANY SNAPSHOT
  • FIGURE 47: MICROSOFT: COMPANY SNAPSHOT
目次
Product Code: SE 5832

"AI in agriculture market anticipated to grow at a CAGR of 22.5% from 2017 to 2025"

The AI in agriculture market is estimated to be worth USD 2,628.5 million by 2025 from USD 518.7 million in 2017, growing at a CAGR of 22.5% between 2017 and 2025. The major factors driving the growth of the AI in agriculture market include the growing demand for agricultural production owing to the increasing population, rising adoption of information management systems and new, advanced technologies for improving crop productivity, increasing crop productivity by implementing deep learning techniques, and growing initiatives by worldwide governments supporting the adoption of modern agricultural techniques. The high cost of gathering precise field data is a major factor restraining the growth of the AI in agriculture market.

"AI in agriculture market for computer vision technology estimated to grow at the highest CAGR during the forecast period"

The market for computer vision is expected to grow at the highest CAGR during the forecast period. The increasing use of computer vision technology for agriculture applications, such as plant image recognition, and the rising demand for continuous monitoring and analyzing crop health are the major factors contributing to the growth of the market for AI solutions based on computer vision technology.

"Market for drone analytics applications expected to grow at the highest CAGR during the forecast period"

The market for drone analytics is expected to grow at the highest CAGR during the forecast period owing to its extensive use in diagnosing and mapping crop health and making real-time decisions. Further, favorable government mandates for using drones in agriculture field is expected to fuel the growth of the AI in agriculture market for the drone analytics application.

"AI in agriculture market in Asia Pacific expected to grow at the highest CAGR during the forecast period"

The increasing adoption of deep learning and computer vision technologies for agricultural applications is a major driving factor for the market growth in the APAC region. Further, the increasing awareness among growers regarding benefits associated with artificial intelligence technologies, such as computer vision, machine learning, and deep learning, for various farming applications is also a major factor contributing toward the growth of the AI in agriculture market in this region.

The breakup of primaries conducted during the study is depicted below:

  • 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%, APAC - 20%, and RoW - 10%

The key players operating in the AI in agriculture market are IBM (US), John Deere (US), Microsoft (US), Agribotix (US), The Climate Corporation (US), ec2ce (Spain), Descartes Labs (US), Sky Squirrel Technologies (Canada), Mavrx (US), aWhere (US), Gamaya (Switzerland), Precision Hawk (US), Granular (US), Prospera (Israel), Cainthus (US), and Spensa Technologies (US).

Research Coverage:

This report covers the AI in agriculture market based on offering, technology, application, and region. The AI in agriculture market based on offering has been segmented into hardware, software, AI-as-a-Service, and Service. Based on applications, the AI in agriculture market has been segmented into precision farming, livestock monitoring, drone analytics, agriculture robots, and others. On the basis technology, the AI in agriculture market has been classified into machine learning, computer vision, and predictive analytics. On the basis of region, the market has been segmented into the Americas, Europe, Asia Pacific (APAC), and RoW.

Key Benefits of Buying the Report:

  • This report includes the market statistics pertaining to offering, application, technology, and region, along with their respective market sizes.
  • In-depth analysis of the value chain has been done to provide an in-depth insight into the AI in agriculture market.
  • Major drivers, restraints, challenges, and opportunities pertaining to the AI in agriculture market have been detailed in this report.
  • Illustrative segmentation, analysis, and forecast for the markets on the basis of offering, application, technology, and region have been conducted to provide an overall view of the AI in agriculture market.
  • The report includes a detailed competitive leadership mapping, including key players and their in-depth analysis and ranking of the key players.

TABLE OF CONTENTS

1. INTRODUCTION

  • 1.1. OBJECTIVES OF THE STUDY
  • 1.2. MARKET DEFINITION
  • 1.3. MARKET SCOPE
    • 1.3.1. MARKETS COVERED
    • 1.3.2. YEARS CONSIDERED FOR STUDY
  • 1.4. CURRENCY
  • 1.5. LIMITATIONS
  • 1.6. STAKEHOLDERS

2. RESEARCH METHODOLOGY

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

3. EXECUTIVE SUMMARY

4. PREMIUM INSIGHTS

  • 4.1. ATTRACTIVE OPPORTUNITIES IN THE AI IN AGRICULTURE MARKET
  • 4.2. AI IN AGRICULTURE MARKET, BY APPLICATION
  • 4.3. AI IN AGRICULTURE MARKET, BY GEOGRAPHY
  • 4.4. AI IN AGRICULTURE MARKET, BY OFFERING
  • 4.5. AI IN AGRICULTURE MARKET, BY TECHNOLOGY

5. MARKET OVERVIEW

  • 5.1. INTRODUCTION
  • 5.2. MARKET DYNAMICS
    • 5.2.1. DRIVERS
      • 5.2.1.1. Growing demand for agricultural production owing to increasing population
      • 5.2.1.2. Rising adoption of information management system and new, advanced technologies for increasing crop productivity
      • 5.2.1.3. Increasing crop productivity by implementing deep learning techniques
      • 5.2.1.4. Growing initiatives by worldwide governments supporting adoption of modern agricultural techniques
    • 5.2.2. RESTRAINTS
      • 5.2.2.1. High cost of gathering precise field data
    • 5.2.3. OPPORTUNITIES
      • 5.2.3.1. Developing countries to offer significant growth opportunities
      • 5.2.3.2. Increasing use of unmanned aerial vehicles (UAVs) or drones in agricultural farms
    • 5.2.4. CHALLENGES
      • 5.2.4.1. Lack of standards
      • 5.2.4.2. Technological unawareness in farmers about AI
      • 5.2.4.3. Limited availability of historical data

6. INDUSTRY TRENDS

  • 6.1. INTRODUCTION
  • 6.2. VALUE CHAIN ANALYSIS
  • 6.3. INDUSTRY TRENDS

7. ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET, BY TECHNOLOGY

  • 7.1. INTRODUCTION
  • 7.2. MACHINE LEARNING
  • 7.3. COMPUTER VISION
  • 7.4. PREDICTIVE ANALYTICS

8. ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET, BY OFFERING

  • 8.1. INTRODUCTION
  • 8.2. HARDWARE
    • 8.2.1. PROCESSOR
    • 8.2.2. STORAGE DEVICE
    • 8.2.3. NETWORK
  • 8.3. SOFTWARE
    • 8.3.1. AI PLATFORM
    • 8.3.2. AI SOLUTION
  • 8.4. AI-AS-A-SERVICE
  • 8.5. SERVICE
    • 8.5.1. DEPLOYMENT AND INTEGRATION
    • 8.5.2. SUPPORT AND MAINTENANCE

9. ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET, BY APPLICATION

  • 9.1. INTRODUCTION
  • 9.2. PRECISION FARMING
    • 9.2.1. YIELD MONITORING
    • 9.2.2. FIELD MAPPING
    • 9.2.3. CROP SCOUTING
    • 9.2.4. WEATHER TRACKING AND FORECASTING
    • 9.2.5. IRRIGATION MANAGEMENT
  • 9.3. LIVESTOCK MONITORING
  • 9.4. DRONE ANALYTICS
  • 9.5. AGRICULTURE ROBOTS
  • 9.6. OTHER APPLICATIONS
    • 9.6.1. SMART GREENHOUSE APPLICATIONS
    • 9.6.2. SOIL MANAGEMENT
      • 9.6.2.1. Moisture monitoring
      • 9.6.2.2. Nutrient monitoring
    • 9.6.3. FISH FARMING APPLICATION

10. GEOGRAPHIC ANALYSIS

  • 10.1. INTRODUCTION
  • 10.2. AMERICAS
    • 10.2.1. NORTH AMERICA
      • 10.2.1.1. US
      • 10.2.1.2. Canada
      • 10.2.1.3. Mexico
    • 10.2.2. SOUTH AMERICA
      • 10.2.2.1. Brazil
      • 10.2.2.2. Argentina
      • 10.2.2.3. Rest of South America
  • 10.3. EUROPE
    • 10.3.1. UK
    • 10.3.2. GERMANY
    • 10.3.3. FRANCE
    • 10.3.4. ITALY
    • 10.3.5. SPAIN
    • 10.3.6. REST OF EUROPE
  • 10.4. APAC
    • 10.4.1. AUSTRALIA
    • 10.4.2. CHINA
    • 10.4.3. JAPAN
    • 10.4.4. SOUTH KOREA
    • 10.4.5. INDIA
    • 10.4.6. REST OF APAC
  • 10.5. REST OF THE WORLD

11. COMPETITIVE LANDSCAPE

  • 11.1. INTRODUCTION
  • 11.2. MARKET RANKING FOR AI IN AGRICULTURE MARKET,2016
  • 11.3. COMPETITIVE SCENARIO
  • 11.4. COMPETITIVE SITUATION AND TRENDS
    • 11.4.1. PRODUCT LAUNCHES
    • 11.4.2. PARTNERSHIPS, AGREEMENTS, & COLLABORATIONS
    • 11.4.3. MERGERS & ACQUISITIONS

12. COMPANY PROFILES (Business Overview, Products offered & Services strategies, Key Insights, Recent Developments, MnM View)*

  • 12.1. INTRODUCTION
  • 12.2. IBM
  • 12.3. DEERE & COMPANY
  • 12.4. MICROSOFT
  • 12.5. AGRIBOTIX
  • 12.6. THE CLIMATE CORPORATION (SUBSIDIARY OF MONSANTO)
  • 12.7. GRANULAR
  • 12.8. DESCARTES LABS
  • 12.9. PROSPERA
  • 12.10. MAVRX
  • 12.11. AWHERE
  • 12.12. KEY INNOVATORS
    • 12.12.1. GAMAYA
    • 12.12.2. EC2CE
    • 12.12.3. PRECISION HAWK
    • 12.12.4. SKYSQUIRREL TECHNOLOGIES
    • 12.12.5. CAINTHUS
  • 12.13. OTHER COMPANIES
    • 12.13.1. TULE TECHNOLOGIES
    • 12.13.2. RESSON
    • 12.13.3. FARMBOT
    • 12.13.4. CONNECTERRA
    • 12.13.5. VISION ROBOTICS
    • 12.13.6. HARVEST CROO
    • 12.13.7. AUTONOMOUS TRACTOR CORPORATION
    • 12.13.8. TRACE GENOMICS
    • 12.13.9. VINE RANGERS
    • 12.13.10. CROPX
    • 12.13.11. SPENSA TECHNOLOGIES

*Details on Business Overview, Products offered & Services strategies, Key Insights, Recent Developments, MnM View might not be captured in case of unlisted companies.

13. APPENDIX

  • 13.1. INSIGHTS OF INDUSTRY EXPERTS
  • 13.2. DISCUSSION GUIDE
  • 13.3. KNOWLEDGE STORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
  • 13.4. INTRODUCING RT: REAL-TIME MARKET INTELLIGENCE
  • 13.5. AVAILABLE CUSTOMIZATIONS
  • 13.6. RELATED REPORTS
  • 13.7. AUTHOR DETAILS
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