IoT in Agriculture: Market Outlook and Forecasts 2017 - 2022




Published: May 2017   Pages: 124
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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

6 Appendix: IoT Data Analytics

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
Figure 30: Big Data and Analytics Framework for Agriculture 

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
Table 46: IoT Driven Big Data Analytics in Agriculture Revenue 2017 - 2022


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