農業におけるIoTの利用 - 第4版

農業生産向けの無線機器の設置台数は、2023年末の2,650万台から2028年までに3,820万台に達すると予測され、CAGRで7.6%の成長が見込まれます。セルラー接続数は2023年末に200万であり、2028年に410万に達すると予測されます。

当レポートでは、世界の農業におけるIoTの利用について調査分析し、主要企業へのインタビューから得られた知見や、市場動向と主な発展、スマート農業ソリューションプロバイダー82社のプロファイル、2028年までの各セグメントの予測などを提供しています。

目次

図表のリスト

エグゼクティブサマリー

第1章 農業部門

• 農業生産
  • 農地利用
  • 灌漑地域と灌漑方法
  • 農業における雇用
  • 林業
  • 食品と農業のバリューチェーン
• 農産物
• 農産物の需要
  • 人口増加と経済発展
  • 農産物の消費
• 農作業
  • 農園の収入と資本支出
  • 混合農業
  • 農作物栽培
  • 畜産
• 農業機械、林業機械

第2章 スマート農業の技術とソリューション

• スマート農業インフラ
  • 農業機械セグメント
  • フィールドセグメント
  • 畜産セグメント
  • ドローンセグメント
  • ポジショニングセグメント
  • ネットワークセグメント
  • バックオフィスセグメント
• 機械管理
  • 車両診断、保守計画
• 精密農業
  • 誘導、自動操縦
  • 収穫高モニタリング、マッピング
  • 精密播種
  • 精密施肥
  • 精密スプレー
• リモートセンシング
  • 航空写真
• 遠隔モニタリング、制御
  • 環境モニタリング
  • 害虫モニタリング
  • 水管理
• 精密畜産
  • 豚の管理
  • 家禽管理
  • 肉牛管理
  • 乳牛群管理
• データ管理、予測分析
• ビジネスモデル、戦略

第3章 市場予測と動向

• 市場の分析
  • 稼働台数と出荷台数
  • 地域市場
  • 無線技術
  • 精密農業
  • 農業用ドローン
  • 現場でのモニタリングと制御
  • 乳牛群管理
• 市場促進要因と障壁
  • マクロ経済環境
  • 規制環境
  • 競合環境
  • 技術環境
• バリューチェーン分析
  • インプット産業の企業
  • 農業機械産業の企業
  • 精密農業の企業
  • 酪農機械産業の企業
  • 遠隔タンク、サイロモニタリング企業
  • 通信産業の企業
  • IT産業の企業
  • スマート農業バリューチェーンにおけるM&A活動
• 市場動向
  • 新たなデジタルエコシステムには協業へのシフトが必要
  • 家畜の規模拡大により精密畜産技術の採用が進む
  • ディーラーは顧客への重要な窓口であり続ける
  • OEMがテレマティクスの無料サブスクリプション期間を延長
  • 主要ソリューションプロバイダーはベンチャーキャピタル部門を通じてアグテックのスタートアップに賭ける
  • IoTスタートアップは多額のベンチャーキャピタル投資を引き付ける
  • システム統合と相互運用性は依然として重要な課題である
  • 農作業において自律性が重要な役割を果たす

第4章 OEMの製品と戦略

• AGCO
• Amazone
• ARGO Tractors
• CLAAS Group
• CNH Industrial
• Deere & Company
• JCB
• Komatsu
• Krone
• Kubota
• Mahindra & Mahindra
• Ponsse
• Rottne
• SDF
• Stara
• Tigercat
• Vermeer

第5章 アフターマーケットソリューションプロバイダー

• 精密農業
  • 365FarmNet (CLAAS Group)
  • Ag Leader Technology
  • BASF
  • Climate LLC (Bayer)
  • DICKEY-john
  • DKE-Data
  • Farmers Edge
  • Hemisphere GNSS (CNH Industrial)
  • Hexagon
  • Lacos
  • Raven Industries (CNH Industrial)
  • Syngenta
  • Topcon Positioning Systems
  • Trimble
  • Yara
• 農業用ドローン
  • AgEagle
  • Aonic
  • DJI
  • Draganfly
  • Hylio
  • Jiyi
  • Sentera
  • TTA
  • Wingtra
  • XAG
• 環境、害虫モニタリング
  • Agrivi
  • Almanac
  • Campbell Scientific
  • Davis Instruments
  • Fieldin
  • Isagri
  • Meteobot (Prointegra)
  • METER Group
  • Pessl Instruments
  • Sencrop
  • Trapview
  • Weenat
• 水管理
  • AquaSpy
  • Arable
  • CropX
  • EarthScout
  • Hortau
  • Libelium
  • Lindsay Corporation
  • Netafim
  • Pycno
  • Rivulis
  • Valmont Industries
  • WiseConn
• 乳牛群管理
  • Afimilk
  • BouMatic
  • CowManager
  • Dairymaster
  • Datamars
  • DeLaval
  • Farmnote
  • Fullwood JOZ
  • GEA Group
  • Lely
  • Merck
  • Moocall
  • Nedap
  • smaXtec
  • Stellapps
  • Zoetis
• 頭字語と略語のリスト

List of Figures

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

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.

Highlights from the report:

• Insights from numerous interviews with market leading companies.
• Comprehensive overview of the smart farming value chain and key applications.
• In-depth analysis of market trends and key developments in crop and livestock production.
• Profiles of 82 smart farming solution providers.
• Detailed reviews of the latest precision agriculture initiatives launched by industry players.
• Summary of OEM propositions from manufacturers of agricultural and forestry equipment.
• Forecasts by market segment, region and wireless technology lasting until 2028.

Table of Contents

Table of Contents

List of Figures

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 players
  • 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 Technology
  • 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
• List of Acronyms and Abbreviations