IoT in Agriculture (IoTAg) is Causing a Massive Shift from Traditional Farm Management towards Software Control & Data-driven Operations -- 2018-2023 Market Analysis
DUBLIN, Aug 1, 2018 /PRNewswire/ --
The "IoT in Agriculture: Market Outlook and Forecasts 2018 - 2023" report has been added to ResearchAndMarkets.com's offering.
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 2018 to 2023.
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.
Agriculture has transformed in the last few decades from small to medium farming operations to highly industrialized, commercial farming that is concentrated among a few large corporations.
Growing crops and raising livestock and fish has become an increasingly mechanized and computer-driven operation. This allows corporations to treat agriculture like manufacturing in the sense that measurements, data, and control is very important to manage costs, maximize yields, and boost profits.
The Internet of Things (IoT) in Agriculture (IoTAg) represents the 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.
The commercial agriculture industry is rapidly becoming one of the most IoT data-driven markets. With the emergence of M2M, IoT, and advanced data analytics technologies, data is becoming available that was previously uncollectible.
The application of various AgriTech analytics tools and methodologies, such as predictive analytics will provide substantial enhancements to agriculture operations. Virtually every aspect of agriculture that can be automated, digitally planned, and managed will benefit from IoT technologies and solutions.
Accordingly, IoTAg will change the way agricultural operations and farms are managed, which 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; and automated irrigation systems, fertilizer spraying, and pest control.
Another M2M/IoT and data-driven shift in traditional farm management is evolving to a software-managed operation that is managed by people unskilled in traditional farming practices.
The agriculture sector is increasingly controlled by companies that are not conventional experts of agriculture, such as farmers and traditional farm value chain, including farm equipment makers, seed suppliers, and producers and suppliers of plant foods and chemicals.
We see a transition from conventional agriculture to Farm Management Systems. With this shift, software developers and predictive data analytics companies will take over control of end-to-end agricultural operations.
Report Benefits
- Detailed IoTAg forecasts 2018 to 2023
- 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
Key Topics Covered
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 Future of Agriculture
2.3 Smart Agriculture Outlook
2.4 Smart Agriculture Applications
2.4.1 Precision Agriculture
2.4.2 Indoor Farming
2.4.3 Livestock Monitoring
2.4.4 Fish Farming
2.5 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 AgricultureSoftware 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 (Monsanto)
5.3.5 Decagon (METER Environment)
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 Comunicaciones Distribuidas S.L.
5.3.16 MTN
5.3.17 Nwave
5.3.18 OnFarm
5.3.19 SlantRange
5.3.20 Telit
5.3.21 ThingWorx (PTC)
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 1: IoT Data Analytics
6.1 IoT in Agriculture Data Analytics Market
6.2 IoT in Agriculture Data Analytics 2017 - 2022
7 Appendix 2: IoT Technologies
7.1 Defining IoT
7.2 Embedded Systems and IoT
7.3 Ubiquitous Computing
7.4 Teleoperation and IoT
7.5 IoT Industry Groups
7.6 IoT Communication Protocols and Standards
7.6.1 Many Organizations and Many Standards Efforts
7.6.2 Overlapping Standards, Protocols and Technical Approaches
7.7 IoT Solutions and Applications
8 Appendix 3: Supporting Technologies
8.1 Connected Devices
8.2 Macro Area Wireless: Cellular
8.2.1 Most Prevalent Digital Cellular Systems: 2G and 3G
8.2.1.1 LTE Direct (LTE-D)
8.2.1.2 LTE Advanced
8.2.2 Heterogeneous Networks (HetNet)
8.3 Macro Area Wireless: Non-cellular
8.3.1 WiMAX
8.3.2 Satellite
8.4 Short Range Wireless
8.4.1 WiFi
8.4.2 LiFi
8.4.3 RF Identification (RFID)
8.4.4 Bluetooth
8.4.5 ZigBee
8.4.6 Ultra Wide Band (UWB)
8.4.7 Dedicated Short-range Communications
8.4.8 Beacon Technologies
8.5 Internet Protocol version Six (IPv6)
8.6 Sensors and Detection Technologies
8.7 Data Storage/Management
8.8 APIs and Data Integration
8.9 Machine-to-Machine (M2M)
8.10 Wearable Wireless and Computing
8.11 Augmented Reality and Media
8.12 Big Data, Predictive Analysis, and Business Intelligence
8.13 IoT and Cloud Technologies/Solutions
8.14 IoT Mediation and Orchestration
For more information about this report visit https://www.researchandmarkets.com/research/p4vwqk/iot_in?w=5
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