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市場調查報告書

農業的IoT (物聯網) :市場分析、預測 2017-2022年

IoT in Agriculture: Market Outlook and Forecasts 2017 - 2022

出版商 Mind Commerce 商品編碼 371808
出版日期 內容資訊 英文 124 Pages
商品交期: 最快1-2個工作天內
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農業的IoT (物聯網) :市場分析、預測 2017-2022年 IoT in Agriculture: Market Outlook and Forecasts 2017 - 2022
出版日期: 2017年05月08日 內容資訊: 英文 124 Pages
簡介

AgriTech意指以改善收穫率、效率及盈利為目的,在農業、園藝及水產養殖上使用尖端技術。透過感測器、通訊、資料分析等技術進步,實現了農業的IoT(物聯網)。

本報告提供農業的IoT (物聯網) 的技術,企業及解決方案的相關調查,市場整體評估及感測器,服務,全球,各地區,及各國家的解決方案及資料分析的預測。

第1章 簡介

第2章 市場成長的促進要素

  • 人口增加
  • 氣候變動
  • AgriTech的發展

第3章 農業的IoT的機會領域

  • 資料分析
  • 風險迴避、活動緩和
  • 農業中的無人機、無人飛機(UAV)
  • 自主式農業

第4章 智慧農業的生態系統

  • 感測,車載資通系統及定位
    • 車載資通系統
    • 定位
    • 主要企業
  • 應用開發
    • 供應鏈、農場管理
    • 智慧灌溉
    • 家畜監測
    • 室內農業
    • 作物監測
    • 車隊管理、智慧物流
  • 通信系統
    • 省電力WAN
    • ZigBee
    • Wi-Fi
    • Bluetooth
    • 行動技術、行動電話業者
  • 資料分析
    • 主要企業

第5章 IoT農業市場收益預測

  • 全球收益
    • 複合收益
    • 收益:各市場區隔
    • 收益:各應用領域
    • 收益:各解決方案
    • 生產率的影響
  • 地區的收益
    • 收益:各地區
    • 北美市場預測
    • 歐洲市場預測
    • 亞太地區市場預測
    • 南美市場預測
    • 中東、非洲市場預測

第6章 IoT支援的農業用設備 & 系統的預測

  • 全球預測
    • 複合設備 & 系統
    • 農業用設備 & 感測器連網型系統:各市場區隔
    • 農業用設備 & 感測器連網型系統:各應用領域
    • 農業用設備 & 感測器連網型系統:各解決方案
    • 農業用設備 & 感測器連網型系統:各連接技術
  • 地區的預測
    • 農業用設備 & 系統:各地區
    • 北美的農業用設備 & 系統預測
    • 亞太地區的農業用設備 & 系統預測
    • 歐洲的農業用設備 & 系統預測
    • 南美的農業用設備 & 系統預測
    • 中東、非洲的農業用設備 & 系統預測

第7章 結論、建議

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目錄

Overview:

The general term, AgriTech, represents the use of technology in agriculture, horticulture, and aquaculture for purposes of improving yield, efficiency, and profitability. The Internet of Things (IoT) in Agriculture (IoTAg) represents a more specific use of technology wherein agricultural planning and operations becomes connected in ways previously impossible if it were not for advances in sensors, communications, data analytics and other areas.

Connected agriculture is also realized through the increasing use of emerging observation and automation technologies such as the use of Unmanned Aerial Vehicles (UAV) for detecting differences in heat signatures and use of robotics for planting, spraying, and harvesting. As various IoT technologies mature beyond the R&D phase and go into general production, costs for everything from drones/UAVs to sensors will continually decrease, making connected agriculture more accessible to smaller farms and third world countries.

This research assesses the technologies, companies, and solutions for IoT in agriculture. The report evaluates the overall marketplace and provides forecasts for sensors (and other devices), services, solutions, and data analytics globally, and regionally for the period 2017 to 2022. Forecasts include precision agriculture, indoor farming, livestock, and fisheries.

Forecasts cover IoT in Agriculture solutions globally and regionally including: Intelligent Farm Equipment, Smart Sensor Systems, Intelligent Drones, Smart Farm Robots, and Software. Within the Smart Sensor area, the report forecasts the following: Sensors for Detecting Physical Properties, Sensors for Chemical Analysis and Applications, Sensors for General Monitoring, Sensors for Quality, Sensors for Autonomous Agriculture, and Others. All purchases of Mind Commerce reports includes time with an expert analyst who will help you link key findings in the report to the business issues you're addressing. This needs to be used within three months of purchasing the report.

Report Benefits:

  • Detailed IoTAg forecasts 2017 - 2022
  • Identify important IoTAg companies and solutions
  • Understand IoTAg market challenges and opportunities
  • Identify opportunities to leverage IoTAg data and analytics
  • Understand the future of agriculture automation and operations

Select Report Findings:

  • Farm management solutions will represent an attractive business opportunity through the study period
  • The agriculture business will be controlled by companies that are not conventional experts of agriculture, such as farmers and traditional farm value chain, including farm equipment makers, seed suppliers, producers and suppliers of plant foods and chemicals
  • The shift in managing agricultural operations and farms will bring various benefits to farming, including enhanced crop quality and quantity, improved use of resources and farm equipment, real-time monitoring of farms, animals and machines, automated irrigation systems, fertilizer spraying and pest control
  • Mind Commerce sees a shift from conventional agriculture to Farm Management Systems through 2022. With this shift, software developers and predictive data analytics companies will take over control of end-to-end agricultural operations

Target Audience:

  • Sensor providers
  • AgriTech companies
  • IoT service providers
  • IoT network providers
  • Semiconductor companies
  • Embedded systems companies

Companies in Report:

  • Accenture
  • Agribiotix
  • Cattle Watch
  • Climate Corporation
  • Decagon
  • Deepfield Robotics (Bosch)
  • DroneDeploy
  • FarmersEdge
  • IBM
  • Euravka
  • FieldSync
  • FluxFarm Inc.
  • John Deere
  • Kaa
  • Libelium
  • MTN
  • Nwave
  • OnFarm
  • SlantRange
  • Telit
  • ThingWorx
  • TopCon
  • Qualcomm Flight Platform
  • Raven Industries
  • Semtech
  • Trackit

Table of Contents

1. Executive Summary

  • 1.1. Global Market for Smart Agriculture
  • 1.2. Outlook for Top Line Revenue Growth
  • 1.3. Success Factors
    • 1.3.1. Markets will be Largely Driven By Scale of Farming Operations
    • 1.3.2. Production and Enhancing Quality will be Marketplace Movers
    • 1.3.3. Key Go-to-Market Strategies

2. Overview

  • 2.1. Agriculture Industry
    • 2.1.1. Agriculture Industry Economics
    • 2.1.2. Technological Transformation of the Agriculture Industry
    • 2.1.3. Vision for Agriculture Industry 2050
  • 2.2. Smart Agriculture Outlook
  • 2.3. Smart Agriculture Applications
    • 2.3.1. Precision Agriculture
    • 2.3.2. Indoor Farming
    • 2.3.3. Livestock Monitoring
    • 2.3.4. Fish Farming
  • 2.4. Smart Agriculture Systems and Functionality

3. IoT in Agriculture Opportunity Analysis

  • 3.1. Market for IoT in Agriculture
    • 3.1.1. Natural Disaster Management and Mitigation
    • 3.1.2. The Role of IoT in Reducing Agricultural Losses
    • 3.1.3. Integrating IoT with Farming Operations
    • 3.1.4. Smartphone Role in Monitoring/Controlling IoT in Agriculture
    • 3.1.5. Emerging IoT in Agriculture Business Models
  • 3.2. IoT for Large-scale Agriculture Operations
  • 3.3. IoT for Small to Medium Scale Farming

4. IoT in Agriculture Market Analysis and Forecasts

  • 4.1. Global IoT Agriculture Revenue by Application 2017-2022
  • 4.2. Global IoT Agriculture Revenue by Segment 2017-2022
    • 4.2.1. Global Intelligent Farm Equipment Market 2017-2022
    • 4.2.2. Global Smart Sensors in Agriculture Market 2017-2022
      • 4.2.2.1. Market by Smart Sensor Type for IoT in Agriculture 2017-2022
    • 4.2.3. Global Agricultural Drone Market 2017-2022
    • 4.2.4. Global Smart Farm Robot Market 2017-2022
    • 4.2.5. Global Agriculture Software Solutions Market 2017-2022
  • 4.3. Global IoT in Agriculture Solution Market
    • 4.3.1. Global Revenue for IoT Precision Agriculture
    • 4.3.2. Global Revenue for IoT Indoor Farming
    • 4.3.3. Global Revenue for IoT Livestock Farming
    • 4.3.4. Global Revenue for IoT Fisheries and Aquaculture
  • 4.4. IoT in Agriculture Revenue by Region
    • 4.4.1. North American Market for IoT in Agriculture
    • 4.4.2. European Market for IoT in Agriculture
    • 4.4.3. APAC Market for IoT in Agriculture
    • 4.4.4. Rest of World Market for IoT in Agriculture
  • 4.5. Global Managed Services in IoT Agriculture
  • 4.6. Predictive Analytics and Artificial Intelligence in Smart Agriculture

5. IoT in Agriculture Vendor Analysis

  • 5.1. Smart Agriculture Vendor Ecosystem
  • 5.2. IoT in Agriculture Vendor Strategies
  • 5.3. Select Smart Agriculture Solutions
    • 5.3.1. Accenture
    • 5.3.2. Agribiotix
    • 5.3.3. Cattle Watch
    • 5.3.4. Climate Corporation
    • 5.3.5. Decagon
    • 5.3.6. Deepfield Robotics ( Bosch)
    • 5.3.7. DroneDeploy
    • 5.3.8. FarmersEdge
    • 5.3.9. IBM
    • 5.3.10. Euravka
    • 5.3.11. FieldSync
    • 5.3.12. FluxFarm Inc.
    • 5.3.13. John Deere
    • 5.3.14. Kaa Open Source IoT Platform
    • 5.3.15. Libelium
    • 5.3.16. MTN
    • 5.3.17. Nwave
    • 5.3.18. OnFarm
    • 5.3.19. SlantRange
    • 5.3.20. Telit
    • 5.3.21. ThingWorx
    • 5.3.22. TopCon
    • 5.3.23. Qualcomm Flight Platform
    • 5.3.24. Raven Industries
    • 5.3.25. Semtech
    • 5.3.26. Trackit

Figures

  • Figure 1: Global Aggregate Revenue for IoT in Agriculture 2017-2022
  • Figure 2: Global IoT Agriculture Revenue by Application 2017-2022
  • Figure 3: Global IoT Agriculture Revenue by Segment 2017-2022
  • Figure 4: Global IoT Agriculture Solution Deployment 2017-2022
  • Figure 5: Global Intelligent Farm Equipment Unit Deployment vs. Revenue 2017-2022
  • Figure 6: Intelligent Farm Equipment Revenue by Region 2017-2022
  • Figure 7: Intelligent Farm Equipment Deployment by Region 2017-2022
  • Figure 8: Global Smart Sensors in Agriculture Unit Deployment vs. Revenue 2017-2022
  • Figure 9: Smart Sensors in Agriculture Revenue by Region 2017-2022
  • Figure 10: Regional Smart Sensors in Agriculture Deployment 2017-2022
  • Figure 11: Global Revenue by Smart Sensors Type 2017-2022
  • Figure 12: Global Smart Sensors in Agriculture Deployment by Type 2017-2022
  • Figure 13: Global Agricultural Drone Unit Deployment vs. Revenue 2017-2022
  • Figure 14: Agricultural Drone Revenue by Region 2017-2022
  • Figure 15: Global Agricultural Revenue by Drone Type 2017-2022
  • Figure 16: Global Agricultural Drone Deployment by Type 2017-2022
  • Figure 17: Global Smart Farm Robot Unit Deployment vs. Revenue 2017-2022
  • Figure 18: Smart Farm Robot Regional Revenue 2017-2022
  • Figure 19: Smart Farm Robot Deployment by Region 2017-2022
  • Figure 20: Global Agriculture Software Solutions Deployment vs. Revenue 2017-2022
  • Figure 21: IoT Software Solutions in Agriculture Revenue by Region 2017-2022
  • Figure 22: IoT Software Solutions in Agriculture Deployment by Region 2017-2022
  • Figure 23: Global IoT in Agriculture Revenue by Solution Type 2017-2022
  • Figure 24: IoT in Agriculture by Region 2017-2022
  • Figure 25: IoT in Agriculture Deployment by Region 2017-2022
  • Figure 26: North America IoT in Agriculture Deployment vs. Revenue 2017-2022
  • Figure 27: European IoT in Agriculture Deployment vs. Revenue 2017-2022
  • Figure 28: APAC IoT in Agriculture Deployment vs. Revenue 2017-2022
  • Figure 29: RoW IoT in Agriculture Deployment vs. Revenue 2017-2022

Tables

  • Table 1: Global Aggregate Revenue for IoT in Agriculture
  • Table 2: Global IoT Agriculture Revenue by Application
  • Table 3: Global IoT Agriculture Revenue by Segment 2017-2022
  • Table 4: Global IoT Agriculture Solution Deployment 2017-2022
  • Table 5: Global Intelligent Farm Equipment Unit Deployment vs. Revenue 2017-2022
  • Table 6: Intelligent Farm Equipment Revenue by Region 2017-2022
  • Table 7: Intelligent Farm Equipment Deployment by Region 2017-2022
  • Table 8: Global Smart Sensors in Agriculture Unit Deployment vs. Revenue 2017-2022
  • Table 9: Global Smart Sensors in Agriculture Revenue 2017-2022
  • Table 10: Smart Sensors in Agriculture Regional Deployment 2017-2022
  • Table 11: Global Revenue by Smart Sensor Type 2017-2022
  • Table 12: Global Smart Sensors in Agriculture Deployment by Type 2017-2022
  • Table 13: Global Agricultural Drone Unit Deployment vs. Revenue 2017-2022
  • Table 14: Agricultural Drone Revenue by Region 2017-2022
  • Table 15: Agricultural Drone Deployment by Region 2017-2022
  • Table 16: Global Agricultural Revenue by Drone Type 2017-2022
  • Table 17: Global Agricultural Drone Deployment by Type 2017-2022
  • Table 18: Global Smart Farm Robot Unit Deployment vs. Revenue 2017-2022
  • Table 19: Smart Farm Robot Regional Revenue 2017-2022
  • Table 20: Smart Farm Robot Deployment by Region 2017-2022
  • Table 21: Global Agriculture Software Solutions Deployment vs. Revenue 2017-2022
  • Table 22: IoT Software Solutions in Agriculture Revenue by Region 2017-2022
  • Table 23: IoT Software Solutions in Agriculture Deployment by Region 2017-2022
  • Table 24: Global IoT in Agriculture Revenue by Solution Type 2017-2022
  • Table 25: Global Revenue for IoT Precision Agriculture by Solution 2017-2022
  • Table 26: Global Revenue for IoT Indoor Farming by Solution 2017-2022
  • Table 27: Global Revenue for IoT Livestock Farming by Solution 2017-2022
  • Table 28: Global Revenue for IoT Fisheries and Aquaculture by Solution 2017-2022
  • Table 29: IoT in Agriculture by Region 2017-2022
  • Table 30: IoT in Agriculture Deployment by Region 2017-2022
  • Table 31: North America IoT in Agriculture Deployment vs. Revenue 2017-2022
  • Table 32: North American IoT in Agriculture Revenue by Segment 2017-2022
  • Table 33: North American IoT in Agriculture Deployment by Segment 2017-2022
  • Table 34: European IoT in Agriculture Deployment vs. Revenue 2017-2022
  • Table 35: European IoT in Agriculture Revenue by Segment 2017-2022
  • Table 36: European IoT in Agriculture Deployment by Segment 2017-2022
  • Table 37: APAC IoT in Agriculture Deployment vs. Revenue 2017-2022
  • Table 38: APAC IoT in Agriculture Revenue by Segment 2017-2022
  • Table 39: APAC IoT in Agriculture Deployment by Segment 2017-2022
  • Table 40: RoW IoT in Agriculture Deployment vs. Revenue 2017-2022
  • Table 41: RoW IoT in Agriculture Revenue by Segment 2017-2022
  • Table 42: RoW IoT in Agriculture Deployment by Segment 2017-2022
  • Table 43: Global Managed IoT Services in Agriculture 2017-2022
  • Table 44: Services offered by Deepfield Robotics
  • Table 45: OnFarm Data Management Platform Economics
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