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農業向けM2M/とモノのインターネット(IoT)

M2M/IoT Applications in the Agricultural Industry - 2nd Edition

 

出版社 出版年月電子版価格 ページ数
Berg Insight
ベルグインサイト社
2021年3月Eur1,800
シングルユーザライセンス(PDF)
180

サマリー

この調査レポートは農業向けM2MとIoT市場を調査し、市場予測、市場促進要因と阻害要因、関連企業情報などを掲載しています。また2025年までの市場予測結果も掲載しています。

主な掲載内容(目次より抜粋)

  • スマート農業技術とソリューション
  • 市場予測と動向
  • OEM製品と戦略
  • アフターマーケットソリューション提供企業
    • 精密農業
    • 遠隔監視および遠隔制御
    • 乳牛管理
    • 農業用ソフトウェア

Description

How will the market for agricultural M2M and IoT applications evolve in 2021 and beyond? Berg Insight covers the latest trends and developments in the emerging smart farming market. Berg Insight forecasts that the number of installed wireless devices for applications in agricultural production is forecasted to grow at a CAGR of 8.1 percent from 22.5 million connections at the end of 2020 to 33.3 million connected devices by 2025. Cellular connections amounted to 1.1 million at the end of 2020 and is expected to grow at a CAGR of 13.0 percent to reach 2.1 million in 2025. Get up to date with the latest information about vendors, products and markets. This report is available in PDF format only.



目次

Table of Contents

Table of Contents ...................... i
List of Figures .................... vi

Executive summary ..................... 1

1 The agricultural sector .................. 3

1.1 Agricultural production .................. 3
1.1.1 Agricultural land use................ 4
1.1.2 Irrigated area and irrigation methods .............. 6
1.1.3 Employment in agriculture ............... 7
1.1.4 Forestry .................... 8
1.1.5 The food and agribusiness value chain ............. 9
1.2 Agricultural commodities .................. 9
1.3 Demand for agricultural commodities .............. 14
1.3.1 Population growth and economic development .......... 15
1.3.2 Consumption of agricultural products ............. 16
1.4 Agricultural operations ................ 17
1.4.1 Farm income and capital expenditures ............ 17
1.4.2 Mixed crop-livestock farming ............... 18
1.4.3 Crop farming ................... 18
1.4.4 Livestock farming .................. 19
1.5 Agricultural equipment ................ 21

2 Smart farming technologies and solutions ............ 25

2.1 Smart farming infrastructure .............. 25
2.1.1 Farm equipment segment .............. 28
2.1.2 Field segment .................. 29
2.1.3 Livestock segment ................ 30
2.1.4 GNSS segment .................. 31
2.1.5 Network segment .................. 33
2.1.6 Backoffice segment .................. 37
2.2 Machinery management ................. 38
2.2.1 Vehicle diagnostics and maintenance planning .......... 39
2.3 Precision agriculture ................. 39
2.3.1 Guidance and automated steering ............ 40
2.3.2 Yield monitoring and mapping ............. 41
2.3.3 Precision seeding .................. 42
2.3.4 Precision fertilising ................ 42
2.3.5 Precision spraying ................. 43
2.4 Remote sensing .................. 43
2.4.1 Satellite and drone imagery .............. 44
2.5 Remote monitoring and control ............... 44
2.5.1 Environmental monitoring .............. 45
2.5.2 Pest monitoring and control .............. 46
2.5.3 Irrigation management ................ 47
2.6 Precision livestock farming ................ 48
2.6.1 Pig management ................ 49
2.6.2 Poultry management ................ 50
2.6.3 Beef cattle management ................ 50
2.6.4 Dairy herd management.............. 51
2.7 Data management and predictive analytics ........... 54
2.8 Business models and strategies ................ 56

3 Market forecasts and trends ................ 57

3.1 Market analysis ................... 57
3.1.1 Installed base and unit shipments ............. 58
3.1.2 Regional markets .................. 60
3.1.3 Wireless technologies ................. 62
3.1.4 Precision agriculture ................. 64
3.1.5 In-field monitoring and control ............. 66
3.1.6 Dairy herd management.............. 68
3.2 Market drivers and barriers ................ 70
3.2.1 Macroeconomic environment .............. 71
3.2.2 Regulatory environment .............. 72
3.2.3 Competitive environment ............... 73
3.2.4 Technology environment ............... 73
3.3 Value chain analysis ................. 76
3.3.1 Precision farming industry players ............. 76
3.3.2 Farm equipment players ................ 81
3.3.3 Input industry players ............... 83
3.3.4 Dairy equipment industry players .............. 85
3.3.5 Telecom industry players ............... 87
3.4 Market trends ................... 88
3.4.1 The emerging digital ecosystem requires a shift towards collaboration ... 88
3.4.2 Larger herds drive the adoption of precision livestock farming technologies .... 89
3.4.3 IoT start-ups attract significant venture capital investments ....... 90
3.4.4 Dealerships remain as gateways to customers ........ 90
3.4.5 OEMs likely to extend free telematics subscription periods ....... 91
3.4.6 Freemium strategies will intensify competition between software vendors .. 92

4 OEM products and strategies ................. 93

4.1 AGCO ...................... 93
4.2 ARGO Tractors ................... 95
4.3 CLAAS Group .................. 96
4.4 CNH Industrial .................... 98
4.5 Deere & Company .................. 100
4.6 Komatsu ................... 103
4.7 Krone .................... 105
4.8 Kubota ..................... 106
4.9 Mahindra & Mahindra ................ 107
4.10 Ponsse ..................... 108
4.11 SDF .................... 110
4.12 Tigercat .................... 111

5 Aftermarket solution providers ................. 115

5.1 Precision farming ................. 115
5.1.1 Ag Leader Technology .............. 115
5.1.2 Agjunction .................. 117
5.1.3 DICKEY-john .................. 118
5.1.4 Farmers Edge ................ 118
5.1.5 Hexagon .................. 120
5.1.6 Raven Industries .................. 122
5.1.7 Topcon Positioning Systems ............. 124
5.1.8 Trimble .................. 126
5.1.9 UniStrong ................... 129
5.1.10 Yara ................... 130
5.2 Remote monitoring and control ................ 131
5.2.1 Arable Labs ................... 131
5.2.2 AquaSpy .................. 132
5.2.3 Campbell Scientific ................. 133
5.2.4 CropX ................... 134
5.2.5 Davis Instruments ................ 135
5.2.6 DTN ................... 137
5.2.7 Hortau ................... 138
5.2.8 Jain Irrigation Systems .............. 139
5.2.9 Libelium ................... 141
5.2.10 Lindsay Corporation ............... 143
5.2.11 Netafim .................... 145
5.2.12 Pessl Instruments ................ 145
5.2.13 Semios .................. 147
5.2.14 Sencrop ................... 149
5.2.15 Valmont Industries .................. 150
5.3 Dairy herd management ............... 152
5.3.1 Afimilk ................... 152
5.3.2 Dairymaster ................... 153
5.3.3 DeLaval .................... 154
5.3.4 Farmnote .................... 156
5.3.5 Fullwood Packo ................ 157
5.3.6 GEA Group .................... 158
5.3.7 Lely .................... 159
5.3.8 Merck .................... 160
5.3.9 Moocall .................... 162
5.3.10 Nedap ................... 163
5.3.11 Zoetis .................... 164
5.4 Agricultural software .................. 165
5.4.1 365FarmNet ................... 165
5.4.2 BASF..................... 167
5.4.3 The Climate Corporation (Bayer) ............. 168
5.4.4 Conservis .................... 170
5.4.5 Corteva Agriscience ............... 170
5.4.6 DKE-Data .................... 172
5.4.7 Farmers Business Network ................ 174
5.4.8 FarmLogs ................... 175
5.4.9 Farmobile ................... 176
5.4.10 Isagri ..................... 177
5.4.11 Proagrica .................... 178
5.4.12 Syngenta .................... 179
5.4.13 Telus Agriculture ................. 180

Glossary ...................... 183

List of Figures

Figure 1.1: Area and yield trend for wheat, rice, soybean and corn (World 2019) ..... 3
Figure 1.2: Moving 10-year average growth in crop yield (World 2019) ...... 4
Figure 1.3: Land use and agricultural land (World 2018) ........... 5
Figure 1.4: Top ten countries by planted area (World 2018) ............ 6
Figure 1.5: Employment in agriculture (2020) ............. 7
Figure 1.6: The agribusiness value chain .............. 9
Figure 1.7: Major crop production statistics (World 2018) .......... 10
Figure 1.8: Leading producers of major crops (World 2018) ......... 11
Figure 1.9: Meat and milk production statistics (World 2018) ........ 12
Figure 1.10: Live animal stock (World 2018) ............. 13
Figure 1.11: Agricultural commodity prices ............... 14
Figure 1.12: Population in billion (World) ............... 15
Figure 1.13: Use of cereal grains (World 2017) ............ 16
Figure 1.14: Tractor shipments (World 2018) ............ 23
Figure 2.1: Smart farming infrastructure overview .............. 27
Figure 2.2: ISOBUS connector ................ 28
Figure 2.3: Example of smart farming backoffice segment ............ 38
Figure 2.4: Weather station by Davis Instruments .............. 45
Figure 2.5: Example of monitored variables in precision livestock farming ........ 49
Figure 2.6: Examples of AMS and AMR milking robots ............ 51
Figure 2.7: Wearable devices for cattle monitoring ............ 53
Figure 3.1: Unit shipments and installed base by segment (World 2019-2025) .... 58
Figure 3.2: Unit shipments and installed base by region (World 2019-2025) .... 61
Figure 3.3: Unit shipments and installed base by technology (World 2019-2025) ...... 63
Figure 3.4: Precision agriculture market value (World 2019-2025) ......... 65
Figure 3.5: Activity monitoring solutions market value (World 2019-2025) ........ 69
Figure 3.6: AgGateway’s ADAPT framework ............. 75
Figure 3.7: Financial data for precision technology companies........ 77
Figure 3.8: M&A activity among companies active in smart farming (2015-2017) ...... 78
Figure 3.9: M&A activity among companies active in smart farming (2018-2020) ...... 79
Figure 3.10: Financial data for companies and groups active in precision agriculture .. 83
Figure 3.11: Revenues of top providers of crop protection chemicals and seeds .... 84
Figure 3.12: Financial data for top providers of dairy equipment ........ 85
Figure 3.13: Top 10 mobile operators by IoT connections (World Q4-2019) ...... 88
Figure 4.1: Komatsu Forest’s MaxiFleet agreement levels ........... 104
Figure 4.2: Tigercat telematics - RemoteLog and LogOn ............ 111
Figure 4.3: Tigercat RemoteLog web interface for desktop and mobile devices .... 112
Figure 4.4: LogOn functionality in Tigercat’s mobile app .......... 113
Figure 5.1: The Arable Mark 2 sensor system ............ 132
Figure 5.2: CropX’s soil sensor ................. 134
Figure 5.3: Davis Instruments’ Vantage Pro2 GroWeather Sensor Suite ....... 136
Figure 5.4: Jain Irrigation Systems’ C3 Field Station ........... 140
Figure 5.5: Libelium’s Smart Agriculture Xtreme device............ 142
Figure 5.6: The Zimmatic 712C control panel ............ 144
Figure 5.7: Pessl Instruments’ LoRAIN weather station .......... 146
Figure 5.8: Semois’ remote monitoring platform .............. 149
Figure 5.9: Valley 365 platform modules .............. 151
Figure 5.10: The 365Active solution ............... 166
Figure 5.11: Stakeholders connected to DKE-Data’s Agrirouter ........ 173

 

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