農業におけるIoT活用市場　第4版

Berg Insight（ベルグインサイト）「農業におけるIoT活用市場　第4版 – IoT Applications in the Agricultural Industry – 4th Edition」は精密農業、農業用ドローン、農場監視、家畜群れ管理、農場管理ソフトウェアなどのスマート農業の世界市場を調査・分析しています。

主な掲載内容

• エグゼクティブサマリー
• 農業セクター
  • 農業生産
  • 農産物
  • 農業運営
  • 農機具
• スマート農業技術とソリューション
  • スマート農業インフラ
  • 機械管理
  • 精密農業
  • 遠隔センシング
  • 遠隔センシングと制御
  • 精密畜産農業
  • データ管理と予測解析
  • ビジネスモデルと戦略
• 市場予測と動向
  • 市場分析
  • 市場促進要因と阻害要因
  • バリューチェーン分析
  • 市場動向
• OEM製品と戦略
• アフターマーケットソリューションプロバイダ
  • 精密農業
  • 農業用ドローン
  • 環境および害虫監視
  • 水管理
  • 乳牛群管理
  • 農業用ソフトウェア

Report Overview

IoT Applications in the Agricultural Industry is the fourth consecutive strategy report from Berg Insight analysing the latest developments on the global smart farming market covering precision farming, agricultural drones, in-field monitoring, herd management and farm management software. This strategic research report from Berg Insight provides you with 240 pages of unique business intelligence, including 5-year industry forecasts and expert commentary on which to base your business decisions.

How will the market for agricultural IoT applications evolve in 2025 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 7.6 percent from 26.5 million connections at the end of 2023 to 38.2 million connected devices by 2028. Cellular connections amounted to 2.0 million at the end of 2023 and are expected to reach 4.1 million in 2028. Get up to date with the latest information about vendors, products and markets.

Table of Contents

Executive Summary
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
1.1.4 Forestry
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 and forestry 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 Drone segment
2.1.5 Positioning segment
2.1.6 Network segment
2.1.7 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 Aerial imagery
2.5 Remote monitoring and control
2.5.1 Environmental monitoring
2.5.2 Pest monitoring
2.5.3 Water 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 analysis
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 Agricultural drones
3.1.6 In-field monitoring and control
3.1.7 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 Input industry players
3.3.2 Farm equipment industry player
3.3.3 Precision farming industry players
3.3.4 Dairy equipment industry players
3.3.5 Remote tank and silo monitoring players
3.3.6 Telecom industry players
3.3.7 IT industry players
3.3.8 M&A activity along the smart farming value chain
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 Dealerships remain as important gateways to customers
3.4.4 OEMs extend free telematics subscription periods
3.4.5 Major solution providers bet on agtech start-ups via venture capital arms
3.4.6 IoT start-ups attract substantial venture capital investments
3.4.7 System integration and interoperability remain high on the agenda
3.4.8 Autonomy will play a significant role in agricultural operations
4 OEM Products and Strategies
4.1 AGCO
4.2 Amazone
4.3 ARGO Tractors
4.4 CLAAS Group
4.5 CNH Industrial
4.6 Deere & Company
4.7 JCB
4.8 Komatsu
4.9 Krone
4.10 Kubota
4.11 Mahindra & Mahindra
4.12 Ponsse
4.13 Rottne
4.14 SDF
4.15 Stara
4.16 Tigercat
4.17 Vermeer
5 Aftermarket Solution Providers
5.1 Precision farming
5.1.1 365FarmNet (CLAAS Group)
5.1.2 Ag Leader Technolog
5.1.3 BASF
5.1.4 Climate LLC (Bayer)
5.1.5 DICKEY-john
5.1.6 DKE-Data
5.1.7 Farmers Edge
5.1.8 Hemisphere GNSS (CNH Industrial)
5.1.9 Hexagon
5.1.10 Lacos
5.1.11 Raven Industries (CNH Industrial)
5.1.12 Syngenta
5.1.13 Topcon Positioning Systems
5.1.14 Trimble
5.1.15 Yara
5.2 Agricultural drones
5.2.1 AgEagle
5.2.2 Aonic
5.2.3 DJI
5.2.4 Draganfly
5.2.5 Hylio
5.2.6 Jiyi
5.2.7 Sentera
5.2.8 TTA
5.2.9 Wingtra
5.2.10 XAG
5.3 Environmental and pest monitoring
5.3.1 Agrivi
5.3.2 Almanac
5.3.3 Campbell Scientific
5.3.4 Davis Instruments
5.3.5 Fieldin
5.3.6 Isagri
5.3.7 Meteobot (Prointegra)
5.3.8 METER Group
5.3.9 Pessl Instruments
5.3.10 Sencrop
5.3.11 Trapview
5.3.12 Weenat
5.4 Water management
5.4.1 AquaSpy
5.4.2 Arable
5.4.3 CropX
5.4.4 EarthScout
5.4.5 Hortau
5.4.6 Libelium
5.4.7 Lindsay Corporation
5.4.8 Netafim
5.4.9 Pycno
5.4.10 Rivulis
5.4.11 Valmont Industries
5.4.12 WiseConn
5.5 Dairy herd management
5.5.1 Afimilk
5.5.2 BouMatic
5.5.3 CowManager
5.5.4 Dairymaster
5.5.5 Datamars
5.5.6 DeLaval
5.5.7 Farmnote
5.5.8 Fullwood JOZ
5.5.9 GEA Group
5.5.10 Lely
5.5.11 Merck
5.5.12 Moocall
5.5.13 Nedap
5.5.14 smaXtec
5.5.15 Stellapps
5.5.16 Zoetis
Glossary

List of Figures

Figure 1.1: Area and yield trend for wheat, rice, soybean and corn (World 1960–2023) …………. 4
Figure 1.2: Moving 10-year average growth in crop yield (World 1970–2023) ……………………….. 5
Figure 1.3: Land use and agricultural land (World 2022) ……………………………………………………. 6
Figure 1.4: Top 10 countries by planted area (World 2022) ………………………………………………… 7
Figure 1.5: Employment in agriculture (2022) …………………………………………………………………… 8
Figure 1.6: Global production of forest products (2023) …………………………………………………….. 9
Figure 1.7: The agribusiness value chain ……………………………………………………………………….. 10
Figure 1.8: Major crop production statistics (World 2023) ………………………………………………… 11
Figure 1.9: Leading producers of major crops (World 2023) …………………………………………….. 12
Figure 1.10: Meat and milk production statistics (World 2023) ………………………………………….. 12
Figure 1.11: Live animal stock (World 2022) ……………………………………………………………………. 13
Figure 1.12: Agricultural commodity prices (Jan 2000–Sept 2024) …………………………………….. 14
Figure 1.13: Population in billion (World) ………………………………………………………………………… 15
Figure 1.14: Use of cereal grains (World 2023) ……………………………………………………………….. 16
Figure 1.15: Examples of agricultural equipment …………………………………………………………….. 21
Figure 1.16: Example of central-pivot irrigation equipment ……………………………………………….. 22
Figure 1.17: Examples of forestry equipment ………………………………………………………………….. 23
Figure 2.1: Smart farming infrastructure overview ……………………………………………………………. 27
Figure 2.2: ISOBUS connector ………………………………………………………………………………………. 28
Figure 2.3: Real-time kinematic correction service with drones …………………………………………. 32
Figure 2.4: Common wireless technologies in the agricultural industry ………………………………. 33
Figure 2.5: Example of smart farming backoffice segment ……………………………………………….. 37
Figure 2.6: Example of a yield monitor …………………………………………………………………………… 40
Figure 2.7: Example of a yield map ……………………………………………………………………………….. 41
Figure 2.8: Example of a tractor-mounted crop sensor …………………………………………………….. 42
Figure 2.9: Example of a crop spraying drone ………………………………………………………………… 43
Figure 2.10: Example of an in-field weather station ………………………………………………………….. 46
Figure 2.11: Example of a connected insect trap …………………………………………………………….. 47
Figure 2.12: Example of an in-field soil moisture sensor …………………………………………………… 48
Figure 2.13: Examples of monitored variables in precision livestock farming………………………. 49
Figure 2.14: Examples of AMS and AMR milking robots …………………………………………………… 51
Figure 2.15: Wearable devices for cattle monitoring ………………………………………………………… 53
Figure 3.1: Unit shipments and installed base by segment (World 2023–2028) …………………… 59
Figure 3.2: Unit shipments and installed base by region (World 2023–2028) ………………………. 61
Figure 3.3: Unit shipments and installed base by technology (World 2023–2028) ……………….. 63
Figure 3.4: Precision agriculture market value (World 2023–2028) …………………………………….. 65
Figure 3.5: Agricultural drones market value (World 2023–2028) ………………………………………. 66
Figure 3.6: Livestock activity monitoring solutions market value (World 2023–2028) ……………. 68
Figure 3.7: Revenues of top providers of crop protection chemicals and seeds ………………….. 75
Figure 3.8: Financial data for farm equipment companies active in precision agriculture ……… 78
Figure 3.9: Financial data for precision technology companies …………………………………………. 79
Figure 3.10: Financial data for top providers of dairy equipment ……………………………………….. 80
Figure 3.11: The AGI BinManger remote bin monitoring solution ………………………………………. 82
Figure 3.12: BinMaster’s range of products …………………………………………………………………….. 83
Figure 3.13: Agbot’s remote tank level monitoring solution ………………………………………………. 84
Figure 3.14: Top 10 mobile operators by IoT connections (World Q4-2023) ……………………….. 85
Figure 3.15: M&A activity among companies active in smart farming (2020–2024) ……………… 88
Figure 3.16: Total funding in FMS, sensing and IoT start-ups (2015–2023) …………………………. 95
Figure 3.17: Lely’s autonomous feed pusher ………………………………………………………………….. 97
Figure 4.1: Precision Planting’s third generation 20|20 monitor ………………………………………. 104
Figure 4.2: Precision Planting’s Panorama app ……………………………………………………………… 105
Figure 4.3: The AmaTron 4 ISOBUS terminal with display extension………………………………… 108
Figure 4.4: CLAAS Group’s CEMIS 1200 display …………………………………………………………… 112
Figure 4.5: AGXTEND’s NirXact hardware …………………………………………………………………….. 117
Figure 4.6: The John Deere connectivity family ……………………………………………………………… 121
Figure 4.7: John Deere Precision Forestry including JDLink……………………………………………. 123
Figure 4.8: Krone’s CCI 1200 ISOBUS terminal ……………………………………………………………… 129
Figure 4.9: Kubota Precision Farming products …………………………………………………………….. 131
Figure 4.10: Overview of the IsoMatch FarmCentre telematics solution ……………………………. 132
Figure 4.11: The Krish-e mobile solution and smart kit …………………………………………………… 134
Figure 4.12: Overview of SDF Smart Farming Solutions …………………………………………………. 138
Figure 4.13: Tigercat telematics – RemoteLog and LogOn ……………………………………………… 140
Figure 4.14: Vermeer Telematics interface ……………………………………………………………………. 142
Figure 5.1: The 365Active solution ……………………………………………………………………………….. 146
Figure 5.2: Ag Leader Technology’s InCommand 1200 display ………………………………………. 147
Figure 5.3: The xarvio Connect device …………………………………………………………………………. 149
Figure 5.4: Components of the Smart Spraying solution by ONE SMART SPRAY ……………… 150
Figure 5.5: The FieldView Drive 2.0 ……………………………………………………………………………… 152
Figure 5.6: DKE-Data’s agrirouter ………………………………………………………………………………… 154
Figure 5.7: Hemisphere GNSS’ Atlas correction service …………………………………………………. 157
Figure 5.8: Hexagon’s Embedded Electronics product portfolio ……………………………………… 159
Figure 5.9: Raven Industries’ Field Hub 2.1 in-cab modem …………………………………………….. 162
Figure 5.10: Topcon Positioning Systems’ CL-55 and AGS-2 devices ……………………………… 165
Figure 5.11: Yara’s N-Sensor ALS 2……………………………………………………………………………… 169
Figure 5.12: AgEagle’s eBee X drone for aerial imagery …………………………………………………. 172
Figure 5.13: DJI’s Agras T50 crop spraying drone …………………………………………………………. 174
Figure 5.14: Hylio’s crop spraying drones …………………………………………………………………….. 177
Figure 5.15: Sentera’s PHX fixed-wing drone for aerial imagery ………………………………………. 178
Figure 5.16: TTA’s M6E-G300 crop spraying drone ……………………………………………………….. 180
Figure 5.17: The WingtraOne Gen II VTOL drone for aerial imagery …………………………………. 181
Figure 5.18: XAG’s P100 Pro crop spraying drone …………………………………………………………. 182
Figure 5.19: User interface of the AGRIVI 360 platform …………………………………………………… 184
Figure 5.20: Semios’ insect trap and pheromone dispenser ……………………………………………. 186
Figure 5.21: The Aspen 10 edge device and CampbellGo mobile app …………………………….. 188
Figure 5.22: Davis Instruments’ EnviroMonitor field monitoring system ……………………………. 189
Figure 5.23: Fieldin’s product suite ………………………………………………………………………………. 191
Figure 5.24: Pessl Instruments’ μMETOS and iMETOS weather stations ………………………….. 194
Figure 5.25: Overview of Sencrop’s solutions ……………………………………………………………….. 196
Figure 5.26: Trapview’s insect trap for pest monitoring and control …………………………………. 197
Figure 5.27: The Arable Mark 3 sensor …………………………………………………………………………. 201
Figure 5.28: CropX’s farm management system ……………………………………………………………. 202
Figure 5.29: Overview of EarthScout’s irrigation management solution ……………………………. 204
Figure 5.30: Hortau’s monitoring station in a lettuce field ……………………………………………….. 205
Figure 5.31: The Smart Agriculture Xtreme and Libelium One …………………………………………. 207
Figure 5.32: The Zimmatic 712C control panel ………………………………………………………………. 208
Figure 5.33: Netafim’s irrigation operating system GrowSphere ………………………………………. 210
Figure 5.34: Pycno’s soil moisture sensors network ………………………………………………………. 212
Figure 5.35: Valley 365 platform modules …………………………………………………………………….. 215
Figure 5.36: WiseConn’s range of sensor nodes for irrigation management ……………………… 217
Figure 5.37: Afimilk’s AfiAct II leg-mounted monitoring solution ………………………………………. 218
Figure 5.38: CowManager’s herd management system ………………………………………………….. 221
Figure 5.39: Dairymaster’s MooMonitor+ solution …………………………………………………………. 222
Figure 5.40: Datamars’ Tru-Test collar, ear tag and gateway …………………………………………… 223
Figure 5.41: The DeLaval Plus farm management system ………………………………………………. 225
Figure 5.42: GEA Group’s CowScout collar ………………………………………………………………….. 228
Figure 5.43: The Allflex ear and neck tags …………………………………………………………………….. 231
Figure 5.44: Moocall’s tail-mounted Calving Sensor ………………………………………………………. 233
Figure 5.45: Overview of the FarmControl solution ………………………………………………………… 235
Figure 5.46: Overview of the smaXtec system ……………………………………………………………….. 236

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