市場調查報告書

農業AI:全球市場的展望(2018-2027年)

Artificial Intelligence in Agriculture - Global Market Outlook (2018-2027)

出版商 Stratistics Market Research Consulting 商品編碼 939165
出版日期 內容資訊 英文 140 Pages
商品交期: 2-3個工作天內
價格
農業AI:全球市場的展望(2018-2027年) Artificial Intelligence in Agriculture - Global Market Outlook (2018-2027)
出版日期: 2020年05月01日內容資訊: 英文 140 Pages
簡介

全球農業AI的市場在預測期間內預計將以23.7%的年複合成長率推移,從2018年的6億5000萬美元,成長到2027年44億3000萬美元的規模。諸如使用傳感器和航拍圖像的數據生成技術的擴展實施,通過深度學習技術提高的生產力以及政府對引進最新農業技術的支持等因素正在推動該市場的增長。但是,另一方面,準確的現場數據收集非常昂貴,這阻礙了市場的進一步增長。

本報告提供全球農業AI的市場調查,彙整市場及產品概要,市場成長的各種影響因素及市場機會分析,技術·用途·零組件·引進區分·地區/主要國家等各種區分趨勢與市場規模的變化與預測,競爭環境,主要企業簡介等資訊。

第1章 摘要整理

第2章 序文

第3章 市場趨勢分析

  • 簡介
  • 促進因素
  • 阻礙因素
  • 市場機會
  • 威脅
  • 科技分析
  • 用途分析
  • 新興市場
  • Covid-19的影響

第4章 波特的五力分析

第5章 全球農業AI市場:各技術

  • 簡介
  • computer vision
  • 機器學習·Deep學習
  • 預測分析

第6章 全球農業AI市場:各零件

  • 簡介
  • 軟體
    • AI解決方案
    • AI平台
  • 硬體設備
    • 儲存裝置
    • 處理器
    • 網路
  • 服務
    • 支援·維護
    • 引進·整合
    • 管理服務
    • 專業服務
  • AIaaS (AI-as-a-Service)

第7章 全球農業AI市場:各用途

  • 簡介
  • 作物·水果·蔬菜·其他
    • 精密農業
    • 作物成長評估
    • 農業機器自動化
  • 臉部辨識
  • 農業用無人機
  • 農業機器人
  • 家畜監測
    • 健康監控
    • 成長監測
  • 無人曳引機
  • 無人機分析
  • 勞動管理
  • 其他
    • 土壤管理
    • 智慧溫室管理
    • 人工養魚管理

第8章 農業市場上全球人工智能:各農業類型

  • 簡介
  • 室內農業
  • 耕種旱田
  • 畜產

第9章 農業市場上全球人工智能:各展開種類

  • 簡介
  • 混合
  • 雲端
  • 內部部署

第10章 農業市場上全球人工智能: 各地區

  • 簡介
  • 北美
  • 歐洲
  • 亞太地區
  • 南美
  • 中東·非洲

第11章 主要展開

  • 契約·聯盟·合作·JV
  • M&A
  • 新產品的銷售
  • 擴張
  • 其他主要策略

第12章 企業簡介

  • Farmers Edge
  • Granular
  • Ageagle
  • Descartes Labs
  • Gamaya
  • Ec2Ce
  • Precision Hawk
  • IBM
  • Deere & Company
  • Microsoft
  • The Climate Corporation
  • Prospera
  • Taranis
  • Awhere
  • Right-To-Win
  • Vision Robotics
  • Autonomous Tractor Corporation
  • Tule Technologies
  • Resson
  • Cropx Technologies
目錄

According to Stratistics MRC, the Global Artificial Intelligence in Agriculture market is accounted for $0.65 billion in 2018 and is expected to reach $4.43 billion by 2027 growing at a CAGR of 23.7% during the forecast period. Some of the key factors propelling the market growth include increasing implementation of data generation through sensors and aerial images for crops, rising crop productivity through deep-learning technology, and government support for the adoption of modern agricultural techniques. However, high cost of gathering precise field data hampers the market growth.

Artificial intelligence (AI) is a program based technology, owing to which digital computers and robots can perform real-time tasks by using cognitive human intelligence such as speech recognition, visual perception, decision making etc. AI in agriculture is commonly used for precision farming, crop monitoring, crop analytics, etc. It has various applications ranging from rural automatons, computerized water system frameworks, facial acknowledgment, and driverless tractors. This artificial intelligence in agriculture applications is done in a relationship with an alternate sort of sensors, radars, GPS frameworks, other cutting-edge contraptions dependent on AI.

By application, the drone analytics segment is expected to grow at the significant rate during the forecast period, due to its extensive use for diagnosing and mapping to evaluate crop health and to make real-time decisions. Favourable government mandates for the use of drones in agriculture are also expected to fuel the growth of the drone analytics market. Moreover, increasing awareness among farm owners regarding the advantages of drone analytics associated with AI technology is expected to further fuel the growth of the AI in agriculture market.

On the basis of geography, The AI in agriculture market in Asia Pacific is expected to witness the significant growth during the forecast period, owing to the wide-scale adoption of AI technologies in agriculture farms. AI is increasingly applied in the agriculture sector in developing countries, such as India and China. The increasing adoption of deep learning and computer vision algorithm for agriculture applications is also expected to fuel the growth of the AI in agriculture market in the Asia Pacific region.

Some of the key players in artificial intelligence in agriculture market include Farmers Edge, Granular, Ageagle, Descartes Labs, Gamaya, Ec2Ce, Precision Hawk, IBM, Deere & Company, Microsoft, The Climate Corporation, Prospera, Taranis, Awhere, Right-To-Win, Vision Robotics, Autonomous Tractor Corporation, Tule Technologies, Resson, and Cropx Technologies.

Technologies Covered:

  • Computer Vision
  • Machine Learning & Deep Learning
  • Predictive Analytics

Components Covered:

  • Software
  • Hardware
  • Services
  • AI-as-a-Service

Applications Covered:

  • Crops, Fruits, Vegetables, and Other Plants
  • Facial Recognition
  • Agricultural Drones
  • Agriculture Robots
  • Livestock Monitoring
  • Driverless Tractors
  • Drone Analytics
  • Labor Management
  • Other Applications

Farming Types Covered:

  • Indoor Farming
  • Field Farming
  • Livestock Farming

Deployments Covered:

  • Hybrid
  • Cloud
  • On-premise

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • France
    • Italy
    • UK
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2017, 2018, 2019, 2023 and 2027
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic analysis: Drivers and Constraints, Product/Technology Analysis, Porter's five forces analysis, SWOT analysis, etc.
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Technology Analysis
  • 3.7 Application Analysis
  • 3.8 Emerging Markets
  • 3.9 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Artificial Intelligence in Agriculture Market, By Technology

  • 5.1 Introduction
  • 5.2 Computer Vision
  • 5.3 Machine Learning & Deep Learning
  • 5.4 Predictive Analytics

6 Global Artificial Intelligence in Agriculture Market, By Component

  • 6.1 Introduction
  • 6.2 Software
    • 6.2.1 AI Solution
    • 6.2.2 AI Platform
  • 6.3 Hardware
    • 6.3.1 Storage Device
    • 6.3.2 Processor
    • 6.3.3 Network
  • 6.4 Services
    • 6.4.1 Support & Maintenance
    • 6.4.2 Deployment & Integration
    • 6.4.3 Managed
    • 6.4.4 Professional
  • 6.5 AI-as-a-Service

7 Global Artificial Intelligence in Agriculture Market, By Application

  • 7.1 Introduction
  • 7.2 Crops, Fruits, Vegetables, and Other Plants
    • 7.2.1 Precision Farming
      • 7.2.1.1 Field Mapping
      • 7.2.1.2 Yield Monitoring
      • 7.2.1.3 Weather Tracking & Forecasting
      • 7.2.1.4 Crop Scouting
      • 7.2.1.5 Irrigation Management
    • 7.2.2 Crop Growth Assessment
    • 7.2.3 Farm Machinery Automation
  • 7.3 Facial Recognition
  • 7.4 Agricultural Drones
  • 7.5 Agriculture Robots
  • 7.6 Livestock Monitoring
    • 7.6.1 Animal Health Monitoring
    • 7.6.2 Animal Growth Monitoring
  • 7.7 Driverless Tractors
  • 7.8 Drone Analytics
  • 7.9 Labor Management
  • 7.10 Other Applications
    • 7.10.1 Soil Management
      • 7.10.1.1 Nutrient Monitoring
      • 7.10.1.2 Moisture Monitoring
    • 7.10.2 Smart Greenhouse Management
    • 7.10.3 Fish Farming Management

8 Global Artificial Intelligence in Agriculture Market, By Farming Type

  • 8.1 Introduction
  • 8.2 Indoor Farming
  • 8.3 Field Farming
  • 8.4 Livestock Farming

9 Global Artificial Intelligence in Agriculture Market, By Deployment

  • 9.1 Introduction
  • 9.2 Hybrid
  • 9.3 Cloud
  • 9.4 On-premise

10 Global Artificial Intelligence in Agriculture Market, By Geography

  • 10.1 Introduction
  • 10.2 North America
    • 10.2.1 US
    • 10.2.2 Canada
    • 10.2.3 Mexico
  • 10.3 Europe
    • 10.3.1 Germany
    • 10.3.2 UK
    • 10.3.3 Italy
    • 10.3.4 France
    • 10.3.5 Spain
    • 10.3.6 Rest of Europe
  • 10.4 Asia Pacific
    • 10.4.1 Japan
    • 10.4.2 China
    • 10.4.3 India
    • 10.4.4 Australia
    • 10.4.5 New Zealand
    • 10.4.6 South Korea
    • 10.4.7 Rest of Asia Pacific
  • 10.5 South America
    • 10.5.1 Argentina
    • 10.5.2 Brazil
    • 10.5.3 Chile
    • 10.5.4 Rest of South America
  • 10.6 Middle East & Africa
    • 10.6.1 Saudi Arabia
    • 10.6.2 UAE
    • 10.6.3 Qatar
    • 10.6.4 South Africa
    • 10.6.5 Rest of Middle East & Africa

11 Key Developments

  • 11.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 11.2 Acquisitions & Mergers
  • 11.3 New Product Launch
  • 11.4 Expansions
  • 11.5 Other Key Strategies

12 Company Profiling

  • 12.1 Farmers Edge
  • 12.2 Granular
  • 12.3 Ageagle
  • 12.4 Descartes Labs
  • 12.5 Gamaya
  • 12.6 Ec2Ce
  • 12.7 Precision Hawk
  • 12.8 IBM
  • 12.9 Deere & Company
  • 12.10 Microsoft
  • 12.11 The Climate Corporation
  • 12.12 Prospera
  • 12.13 Taranis
  • 12.14 Awhere
  • 12.15 Right-To-Win
  • 12.16 Vision Robotics
  • 12.17 Autonomous Tractor Corporation
  • 12.18 Tule Technologies
  • 12.19 Resson
  • 12.20 Cropx Technologies

List of Tables

  • Table 1 Global Artificial Intelligence in Agriculture Market Outlook, By Region (2017-2027) ($MN)
  • Table 2 Global Artificial Intelligence in Agriculture Market Outlook, By Technology (2017-2027) ($MN)
  • Table 3 Global Artificial Intelligence in Agriculture Market Outlook, By Computer Vision (2017-2027) ($MN)
  • Table 4 Global Artificial Intelligence in Agriculture Market Outlook, By Machine Learning & Deep Learning (2017-2027) ($MN)
  • Table 5 Global Artificial Intelligence in Agriculture Market Outlook, By Predictive Analytics (2017-2027) ($MN)
  • Table 6 Global Artificial Intelligence in Agriculture Market Outlook, By Component (2017-2027) ($MN)
  • Table 7 Global Artificial Intelligence in Agriculture Market Outlook, By Software (2017-2027) ($MN)
  • Table 8 Global Artificial Intelligence in Agriculture Market Outlook, By AI Solution (2017-2027) ($MN)
  • Table 9 Global Artificial Intelligence in Agriculture Market Outlook, By AI Platform (2017-2027) ($MN)
  • Table 10 Global Artificial Intelligence in Agriculture Market Outlook, By Hardware (2017-2027) ($MN)
  • Table 11 Global Artificial Intelligence in Agriculture Market Outlook, By Storage Device (2017-2027) ($MN)
  • Table 12 Global Artificial Intelligence in Agriculture Market Outlook, By Processor (2017-2027) ($MN)
  • Table 13 Global Artificial Intelligence in Agriculture Market Outlook, By Network (2017-2027) ($MN)
  • Table 14 Global Artificial Intelligence in Agriculture Market Outlook, By Services (2017-2027) ($MN)
  • Table 15 Global Artificial Intelligence in Agriculture Market Outlook, By Support & Maintenance (2017-2027) ($MN)
  • Table 16 Global Artificial Intelligence in Agriculture Market Outlook, By Deployment & Integration (2017-2027) ($MN)
  • Table 17 Global Artificial Intelligence in Agriculture Market Outlook, By Managed (2017-2027) ($MN)
  • Table 18 Global Artificial Intelligence in Agriculture Market Outlook, By Professional (2017-2027) ($MN)
  • Table 19 Global Artificial Intelligence in Agriculture Market Outlook, By AI-as-a-Service (2017-2027) ($MN)
  • Table 20 Global Artificial Intelligence in Agriculture Market Outlook, By Application (2017-2027) ($MN)
  • Table 21 Global Artificial Intelligence in Agriculture Market Outlook, By Crops, Fruits, Vegetables, and Other Plants (2017-2027) ($MN)
  • Table 22 Global Artificial Intelligence in Agriculture Market Outlook, By Precision Farming (2017-2027) ($MN)
  • Table 23 Global Artificial Intelligence in Agriculture Market Outlook, By Crop Growth Assessment (2017-2027) ($MN)
  • Table 24 Global Artificial Intelligence in Agriculture Market Outlook, By Farm Machinery Automation (2017-2027) ($MN)
  • Table 25 Global Artificial Intelligence in Agriculture Market Outlook, By Facial Recognition (2017-2027) ($MN)
  • Table 26 Global Artificial Intelligence in Agriculture Market Outlook, By Agricultural Drones (2017-2027) ($MN)
  • Table 27 Global Artificial Intelligence in Agriculture Market Outlook, By Agriculture Robots (2017-2027) ($MN)
  • Table 28 Global Artificial Intelligence in Agriculture Market Outlook, By Livestock Monitoring (2017-2027) ($MN)
  • Table 29 Global Artificial Intelligence in Agriculture Market Outlook, By Animal Health Monitoring (2017-2027) ($MN)
  • Table 30 Global Artificial Intelligence in Agriculture Market Outlook, By Animal Growth Monitoring (2017-2027) ($MN)
  • Table 31 Global Artificial Intelligence in Agriculture Market Outlook, By Driverless Tractors (2017-2027) ($MN)
  • Table 32 Global Artificial Intelligence in Agriculture Market Outlook, By Drone Analytics (2017-2027) ($MN)
  • Table 33 Global Artificial Intelligence in Agriculture Market Outlook, By Labor Management (2017-2027) ($MN)
  • Table 34 Global Artificial Intelligence in Agriculture Market Outlook, By Other Applications (2017-2027) ($MN)
  • Table 35 Global Artificial Intelligence in Agriculture Market Outlook, By Soil Management (2017-2027) ($MN)
  • Table 36 Global Artificial Intelligence in Agriculture Market Outlook, By Smart Greenhouse Management (2017-2027) ($MN)
  • Table 37 Global Artificial Intelligence in Agriculture Market Outlook, By Fish Farming Management (2017-2027) ($MN)
  • Table 38 Global Artificial Intelligence in Agriculture Market Outlook, By Farming Type (2017-2027) ($MN)
  • Table 39 Global Artificial Intelligence in Agriculture Market Outlook, By Indoor Farming (2017-2027) ($MN)
  • Table 40 Global Artificial Intelligence in Agriculture Market Outlook, By Field Farming (2017-2027) ($MN)
  • Table 41 Global Artificial Intelligence in Agriculture Market Outlook, By Livestock Farming (2017-2027) ($MN)
  • Table 42 Global Artificial Intelligence in Agriculture Market Outlook, By Deployment (2017-2027) ($MN)
  • Table 43 Global Artificial Intelligence in Agriculture Market Outlook, By Hybrid (2017-2027) ($MN)
  • Table 44 Global Artificial Intelligence in Agriculture Market Outlook, By Cloud (2017-2027) ($MN)
  • Table 45 Global Artificial Intelligence in Agriculture Market Outlook, By On-premise (2017-2027) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.