How will the market for agricultural M2M and IoT applications evolve in 2018 and beyond? Berg Insight covers the latest trends and developments in the emerging smart farming market. The researcher forecasts that the number of installed wireless devices for applications in agricultural production is forecasted to grow at a CAGR of 10.0 percent from 17.0 million connections at the end of 2016 to 27.4 million connected devices by 2021. Cellular connections amounted to 0.8 million at the end of 2016 and is expected to grow at a CAGR of 30.2 percent to reach 3.1 million in 2021. Get up to date with the latest information about vendors, products and markets.
M2M/IoT Applications in the Agricultural Industry is a strategy report analysing the latest developments on the global smart farming market covering precision farming, in-field monitoring, herd management and farm management software. This strategic research report provides you with 160 pages of unique business intelligence, including 5-year industry forecasts, expert commentary and real-life case studies on which to base your business decisions.
Highlights from this report:
- Insights from 30 executive interviews with market leading companies.
- Comprehensive overview of the agricultural technology value chain and key applications.
- In-depth analysis of market trends and key developments in crop and livestock production.
- Profiles of 53 agricultural technology providers.
- Detailed reviews of the latest precision agriculture initiatives launched by industry players.
- Summary of OEM propositions from manufacturers of agricultural equipment.
- Forecasts by market segment, region and wireless technology lasting until 2021.
This report answers the following questions:
- What are the main applications for wireless IoT in agricultural production systems?
- Which are the leading providers of precision farming technologies and in-field sensor systems?
- What offerings are available from technology and service providers?
- How are the OEMs and agricultural input producers involved in the ecosystem?
- What are the main drivers and barriers for technology adoption in agricultural production?
- What are the precision livestock farming strategies of animal monitoring specialists and dairy equipment manufacturers?
- Which are the main application areas for cellular and LPWA connectivity?
- How will the market evolve in Europe, North America, Latin America, Asia-Pacific and MEA?
Who should buy this report?
M2M/IoT Applications in the Agricultural Industry is the foremost source of information about this market. Whether you are a telematics vendor, agtech startup, vehicle manufacturer, telecom operator, investor, consultant, or government agency, you will gain valuable insights from this in-depth research.
1 The agricultural sector
1.1 Agricultural production
1.1.1 Agricultural land use
1.1.2 Irrigated area and irrigation methods
1.1.3 Employment in agriculture
1.1.5 The food and agribusiness value chain
1.2 Agricultural commodities
1.3 Demand for agricultural commodities
1.3.1 Population growth and economic development
1.3.2 Consumption of agricultural products
1.4 Agricultural operations
1.4.1 Farm income and capital expenditures
1.4.2 Mixed crop-livestock farming
1.4.3 Crop farming
1.4.4 Livestock farming
1.5 Agricultural equipment
2 Smart farming technologies and solutions
2.1 Smart farming infrastructure
2.1.1 Farm equipment segment
2.1.2 Field segment
2.1.3 Livestock segment
2.1.4 GNSS segment
2.1.5 Network segment
2.1.6 Backoffice segment
2.2 Machinery management
2.2.1 Vehicle diagnostics and maintenance planning
2.3 Precision agriculture
2.3.1 Guidance and automated steering
2.3.2 Yield monitoring and mapping
2.3.3 Precision seeding
2.3.4 Precision fertilising
2.3.5 Precision spraying
2.4 Remote sensing
2.4.1 Satellite and drone imagery
2.5 Remote monitoring and control
2.5.1 Weather monitoring
2.5.2 Pest monitoring and control
2.5.3 Irrigation management
2.6 Precision livestock farming
2.6.1 Pig management
2.6.2 Poultry management
2.6.3 Beef cattle management
2.6.4 Dairy herd management.
2.7 Data management and predictive analytics
2.8 Business models and strategies
3 Market forecasts and trends
3.1 Market analysis
3.1.1 Installed base and unit shipments
3.1.2 Regional markets
3.1.3 Wireless technologies
3.1.4 Precision agriculture
3.1.5 Dairy herd management.
3.2 Market drivers and barriers
3.2.1 Macroeconomic environment
3.2.2 Regulatory environment
3.2.3 Competitive environment
3.2.4 Technology environment
3.3 Value chain analysis
3.3.1 Precision farming industry players
3.3.2 Farm equipment players
3.3.3 Input industry players
3.3.4 Dairy equipment industry players
3.3.5 Telecom industry players
3.4 Market trends
3.4.1 The emerging digital ecosystem requires a shift towards collaboration
3.4.2 Larger herds drive the adoption of precision livestock farming technologies
3.4.3 IoT start-ups are attractive to investors
3.4.4 Dealerships remain as gateways to customers
3.4.5 Freemium strategies will intensify competition between software vendors
4 OEM products and strategies
4.2 CLAAS Group
4.3 CNH Industrial
4.4 Deere & Company
4.7 Mahindra & Mahindra
5 Aftermarket solution providers
5.1 Precision farming
5.1.1 Ag Leader Technology
5.1.4 The Climate Corporation (Monsanto)
5.1.5 Farmers Edge
5.1.6 Hexagon Agriculture
5.1.7 Raven Industries
5.1.8 Topcon Positioning Systems
5.2 Remote monitoring and control
5.2.1 Arable Labs
5.2.3 Campbell Scientific
5.2.5 Davis Instruments
5.2.7 Jain Irrigation Systems
5.2.9 Lindsay Corporation
5.2.11 Net Irrigate
5.2.12 Pessl Instruments
5.2.14 Spensa Technologies
5.2.15 Valmont Industries
5.3 Dairy herd management
5.3.5 GEA Group
5.3.10 SCR (The Allflex Group)
5.4 Data management
5.4.5 DowDuPont Agriculture
5.4.6 Farmers Business Network
5.4.10 SST Software
List of Figures
Figure 1.1: Area and yield trend for wheat, rice, soybean and corn (World 2016)
Figure 1.2: Moving 10-year average growth in crop yield (World 2016)
Figure 1.3: Land use and agricultural land (World 2014)
Figure 1.4: Top ten countries by planted area (World 2014)
Figure 1.5: Employment in agriculture (2016)
Figure 1.6: The agribusiness value chain
Figure 1.7: Major crop production statistics (World 2016)
Figure 1.8: Leading producers of major crops (World 2016)
Figure 1.9: Meat and milk production statistics (World 2016)
Figure 1.10: Live animal stock (World 2014)
Figure 1.11: Agricultural commodity prices
Figure 1.12: Population in billion (World)
Figure 1.13: Use of cereal grains (World 2016)
Figure 1.14: Agricultural tractor shipments (World 2016)
Figure 2.1: Smart farming infrastructure overview
Figure 2.2: Shipments and installed base of GNSS devices for ag (World 2016-2021)
Figure 2.3: Example of smart farming backoffice segment
Figure 2.4: Example of monitored variables in precision livestock farming
Figure 2.5: Wearable devices for cattle monitoring
Figure 3.1: Unit shipments and installed base by segment (World 2016-2021)
Figure 3.2: Unit shipments and installed base by region (World 2016-2021)
Figure 3.3: Unit shipments and installed base by technology (World 2016-2021)
Figure 3.4: Precision agriculture market value (World 2016-2021)
Figure 3.5: Activity monitoring solutions market value (World 2016-2021)
Figure 3.6: Financial data for precision technology companies.
Figure 3.7: Mergers and acquisitions among companies active in smart farming
Figure 3.8: Financial data for companies and groups active in precision agriculture
Figure 3.9: Revenues of top providers of crop protection chemicals and seeds
Figure 3.10: Financial data for top providers of dairy equipment
Figure 3.11: Mobile operators by M2M subscriber base (World Q2-2017)
Figure 5.1: Topcon's AM-53 telematics module
Figure 5.2: The CropX sensor
Figure 5.3: Sensors supported by Davis Instruments' EviroMonitor system
Figure 5.4: Libelium's IoT value chain
Figure 5.5: The Z-Trap 1 insect trapping device
Figure 5.6: Stakeholders connected to DKE-Data's Agrirouter
Figure 5.7: Overview of Granular Farm Management System
According to this new research report the installed base of wireless IoT devices in agricultural production worldwide reached 17.0 million connections in 2016. The number of wireless connections is forecasted to grow at compound annual growth rate of 10.0 percent to reach 27.4 million in 2021. There is a broad range of wireless technologies used in agricultural production with different characteristics and use cases. 802.15.4-based standards comprise the most employed wireless technology due to its wide adoption in dairy cow monitoring applications.
The main application areas for cellular communication are machine telematics and remote monitoring via in-field sensor systems. Cellular connections amounted to 0.8 million at the end of 2016 and is expected to grow at a CAGR of 30.2 percent to reach 3.1 million in 2021. LPWA technologies are expected to achieve the highest growth rate and realise a significant market position in the remote monitoring and control segment. Berg Insight’s outlook for the agricultural technology market is positive as agricultural production remains greatly underpenetrated by wireless IoT solutions. Manufacturers of farm and dairy equipment have traditionally chosen to partner with smaller and specialised players but increasingly focus on developing proprietary technologies.
In the crop production sector, a group of companies have emerged as leaders on the market for precision agriculture solutions. Major providers include Deere & Company, Trimble, Topcon Positioning Systems and Raven Industries. Other significant vendors include AGCO, Ag Leader Technology, DICKEY-john and Hexagon. In the milk production sector, the world’s largest dairy equipment vendor DeLaval offers its in-house developed activity monitoring system along with its milking and dairy farming infrastructure solutions. Important providers of sensor systems for dairy cow monitoring furthermore include Netherlands-based Nedap and The Allflex Group subsidiary SCR which both sell their systems to a number of leading dairy equipment manufacturers and genetics companies.
“Leading providers are now investing in technical platforms capable of supporting integration with third-party hardware and software solutions as agricultural equipment are becoming parts of broader systems”, said Fredrik Stalbrand, IoT Analyst, Berg Insight. The increasingly complex technological environment that farmers operate in also demands dealers to offer a greater extent of services to integrate and support the range of technologies that are utilised in advanced production systems. “As interoperability between systems remains as a challenge, the need for services and technical support from local dealers is likely to increase with continued adoption of precision farming solutions, in-field sensor systems and animal monitoring technologies”, concluded Mr. Stalbrand.
- Ag Leader Technology
- Arable Labs
- CLAAS Group
- CNH Industrial
- Campbell Scientific
- Davis Instruments
- Deere & Company
- DowDuPont Agriculture
- Farmers Business Network
- Farmers Edge
- GEA Group
- Hexagon Agriculture
- Jain Irrigation Systems
- Lindsay Corporation
- Mahindra & Mahindra
- Net Irrigate
- Pessl Instruments
- Raven Industries
- SCR (The Allflex Group)
- SST Software
- Spensa Technologies
- The Climate Corporation (Monsanto)
- Topcon Positioning Systems
- Valmont Industries