農業向けIoTソリューションの概要：センサー、ドローン、データ分析、および接続性 - 市場の見通しと予測（2021年～2030年）

これまで何十年もの間、農場や畑で得られるデータは、十分に活用されていませんでした。農業市場におけるスマートファーミングやモノのインターネット（IoT）技術は、まだ生まれたばかりです。第4次緑の革命を実現するために、センサーやアクチュエーター、GPS、ドローン、自動化、ビッグデータを、いくつかのアプリケーションで併用しています。これらの技術と農業におけるIoTの展開は、環境条件のほぼリアルタイムのモニタリング、日常的な介入のためのデータ、長期的な運用判断のための洞察を提供します。

プラットフォームやソフトウェアは、作物や動物の管理のためのデータ分析を可能にしており、植物や動物の個別の測定値や行動分析も増加しています。それらを採用することで、農家や生産者がオペレーション、生産、効率を向上させるためにテクノロジーを採用することができます。IoTデバイスと洗練されたデータインサイトを結びつけるアプリケーションは、農作物や植物の収穫量の増加、土地利用の最適化、機動的な資源配分を促進する新しいビジネスモデルを生み出しています。

当レポートは、農業向けIoTソリューション市場について調査しており、市場の成長要因および障壁、見通しや予測、基準と規制、技術の課題、主要企業のプロファイルなどの情報を提供しています。

目次

第1章 エグゼクティブサマリー

• イントロダクション
• 市場の成長要因と障壁
• 世界の市場の見通し

第2章 市場の問題

• 定義された農業におけるモノのインターネット
• 主要なIoTソリューションコンポーネント
• 農業センサーとユースケース
• 農業ビジネスモデルにおけるIoT
• 主要セクター
  • スマート温室
  • 精密農業
  • 家畜の追跡と監視
• 市場の成長要因
  • 生産性と持続可能性
  • コスト削減と効率
  • 土地と天気のパターン
  • 労働
• 市場の障壁
  • 前払い費用
  • 接続性と帯域幅
  • ユーザーインターフェイスとデザイン
  • ROI
• 基準と規制
  • 持続可能性と食糧政策
  • 共通農業政策
  • データのプライバシーとセキュリティ
  • ドローンの飛行

第3章 技術の課題

• AIと機械学習
• 自動化されたハードウェアとロボット工学
• ドローン
• 衛星とGIS
• ネットワーキングとコミュニケーション
  • セルラー
  • 無線周波数技術
  • LPWAネットワーキング
• エッジコンピューティング
• ブロックチェーン

第4章 業界の主要企業

• Avnet
• Arable
• Bayer Crop Science
• BouMatic
• Ceres Imaging
• Farmers Edge
• Hewlett Packard Enterprise
• Hitachi
• Johnson Controls
• Libelium
• Netafim
• Nokia WING
• Pessl Instruments
• Semios
• Siemens

第5章 市場予測

• 北米
• 欧州
• アジア太平洋
• ラテンアメリカ
• 中東とアフリカ

第6章 結論・提言

• 政府への提言
• ベンダーへの提言
• 生産者への提言

第7章 略語のリスト

第8章 目次

第9章 図表

第10章 調査範囲、情報源と調査手法、注記

LIST OF CHARTS AND FIGURES

• Total Smart Agriculture and Livestock Tracking IoT Investment by Region, World Markets: 2021-2030
• Total Smart Agriculture IoT Networking Investment by Farm Type, World Markets: 2021-2030
• Total Smart Agriculture and Livestock Tracking IoT Investment by Segment, North America: 2021-2030
• Total Smart Agriculture and Livestock Tracking IoT Investment by Segment, Europe: 2021-2030
• Total Smart Agriculture and Livestock Tracking IoT Investment by Segment, Asia Pacific: 2021-2030
• Total Smart Agriculture and Livestock Tracking IoT Investment by Segment, Latin America: 2021-2030
• Total Smart Agriculture and Livestock Tracking IoT Investment by Segment, Middle East & Africa: 2021-2030
• Total Smart Agriculture and Livestock Tracking IoT Investment by Segment, World Markets: 2021-2030
• Total Precision Farming IoT Investment by Region, World Markets: 2021-2030
• Total Smart Greenhouse IoT Investment by Region, World Markets: 2021-2030
• Total Livestock Tracking IoT Investment by Region, World Markets: 2021-2030
• Nokia Smart Agriculture as a Service Example
• Drone Aerial Imagery Examples

LIST OF TABLES

• Total Smart Agriculture and Livestock Tracking IoT Investment by Region, World Markets: 2021-2030
• Total Smart Agriculture and Livestock Tracking IoT Investment by Segment, World Markets: 2021-2030
• Total Smart Agriculture and Livestock Tracking IoT Investment by Technology, World Markets: 2021-2030
• Total Smart Agriculture IoT Investment by Farm Type, North America: 2021-2030
• Total Precision Farming IoT Investment by Technology, North America: 2021-2030
• Total Smart Greenhouse IoT Investment by Technology, North America: 2021-2030
• Total Livestock Tracking IoT Investment by Technology, North America: 2021-2030
• Total Smart Agriculture and Livestock Tracking IoT Investment by Technology, North America: 2021-2030
• Total Smart Agriculture IoT Investment by Farm Type, Europe: 2021-2030
• Total Precision Farming IoT Investment by Technology, Europe: 2021-2030
• Total Smart Greenhouse IoT Investment by Technology, Europe: 2021-2030
• Total Livestock Tracking IoT Investment by Technology, Europe: 2021-2030
• Total Agriculture and Livestock Tracking IoT Investment by Technology, Europe: 2021-2030
• Total Smart Agriculture IoT Investment by Farm Type, Asia Pacific: 2021-2030
• Total Precision Farming IoT Investment by Technology, Asia Pacific: 2021-2030
• Total Smart Greenhouse IoT Investment by Technology, Asia Pacific: 2021-2030
• Total Livestock Tracking IoT Investment by Technology, Asia Pacific: 2021-2030
• Total Smart Agriculture and Livestock Tracking IoT Investment by Technology, Asia Pacific: 2021-2030
• Total Smart Agriculture IoT Investment by Farm Type, Latin America: 2021-2030
• Total Precision Farming IoT Investment by Technology, Latin America: 2021-2030
• Total Smart Greenhouse IoT Investment by Technology, Latin America: 2021-2030
• Total Livestock Tracking IoT Investment by Technology, Latin America: 2021-2030
• Total Smart Agriculture and Livestock Tracking IoT Investment by Technology, Latin America: 2021-2030
• Total Smart Agriculture IoT Investment by Farm Type, Middle East & Africa: 2021-2030
• Total Precision Farming IoT Investment by Technology, Middle East & Africa: 2021-2030
• Total Smart Greenhouse IoT Investment by Technology, Middle East & Africa: 2021-2030
• Total Livestock Tracking IoT Investment by Technology, Middle East & Africa: 2021-2030
• Total Smart Agriculture and Livestock Tracking IoT Investment by Technology, Middle East & Africa: 2021-2030
• Total Smart Agriculture Sensor Investment by Farm Type, World Markets: 2021-2030
• Total Smart Agriculture Drone Investment by Farm Type, World Markets: 2021-2030
• Total Smart Agriculture Analytics Software Investment by Farm Type, World Markets: 2021-2030
• Total Smart Agriculture Iot Networking Investment by Farm Type, World Markets: 2021-2030
• Total Smart Agriculture Iot Investment by Farm Type, World Markets: 2021-2030
• Farming and Agriculture IoT Sensors by Type and Use Case

For many decades, available data across farms and fields has been recognized as underused ground truth. Smart farming and Internet of Things (IoT) technologies for agriculture markets are nascent and emerging. Sensors and actuators, GPSs, drones, automation, and big data are combining in several applications to realize the fourth green revolution. These technologies and the IoT deployments in agriculture provide near-real-time monitoring of environmental conditions, data for daily interventions, and insights for long-term operational decisions.

Platforms and software enable data analysis for crop and animal management and increasingly individual plant and animal metrics and behavior analysis. Their adoption helps farmers and growers employ technology to improve operations, production, and efficiency. Applications that connect IoT devices with sophisticated data insights are creating new business models to increase crop and plant yields, optimize land usage, and promote agile resource allocation.

This “Guidehouse Insights report” covers the sensing and connectivity technologies that provide the foundations for IoT deployments across three main industries for smart agriculture: precision farming, smart greenhouses, and livestock tracking and monitoring. The market forecasts cover these technologies and network requirements to identify the price points for IoT deployments across the three verticals. The scope is intentionally broad in its coverage of IoT use cases, hardware, and software solutions for the agriculture industry. Technologies such as automated hardware and robotics, AI, and machine learning have the potential to catalyze technology adoption in the future as costs and technology literacy barriers are addressed.

KEY QUESTIONS ADDRESSED:

• What technologies exist to digitize traditional farming and agriculture?

• What does the global market for precision agriculture look like?

• What does the global market for smart greenhouses look like?

• What does the global market for livestock tracking look like?

• What are the major drivers and barriers for widespread IoT adoption in agriculture?

• What sensing and data analytics capabilities exist for farmers, growers, and ranchers?

WHO NEEDS THIS REPORT:

• Networking and communications providers

• Hardware vendors

• Software vendors

• OEMs

• Agriculture machine providers/manufacturers

• Farmers and growers

• Food wholesalers, distributors and retailers

• Food logistics

• Agriculture government and regulation bodies

• Agriculture industry associations

• Investor community

Table of Contents

1. Executive Summary

• 1.1. Introduction
• 1.2. Market Drivers and Barriers
• 1.3. Global Market Outlook

2. Market Issues

• 2.1. Internet of Things in Agriculture Defined
• 2.2. Key IoT Solution Components
• 2.3. Agriculture Sensors and Use Cases
• 2.4. IoT in Agriculture Business Models
• 2.5. Key Sectors
  • 2.5.1. Smart Greenhouses
  • 2.5.2. Precision Farming
    • 2.5.2.1. Seed Breeding
    • 2.5.2.2. Food Supply Logistics
  • 2.5.3. Livestock Tracking and Monitoring
• 2.6. Market Drivers
  • 2.6.1. Productivity and Sustainability
  • 2.6.2. Cost Savings and Efficiency
  • 2.6.3. Land and Weather Patterns
  • 2.6.4. Labor
• 2.7. Market Barriers
  • 2.7.1. Upfront Costs
  • 2.7.2. Connectivity and Bandwidth
  • 2.7.3. User Interface and Design
  • 2.7.4. ROI
• 2.8. Standards and Regulations
  • 2.8.1. Sustainability and Food Policy
  • 2.8.2. Common Agriculture Policy
  • 2.8.3. Data Privacy and Security
  • 2.8.4. Drone Flight

3. Technology Issues

• 3.1. AI and Machine Learning
• 3.2. Automated Hardware and Robotics
• 3.3. Drones
• 3.4. Satellites and GIS
• 3.5. Networking and Communications
  • 3.5.1. Cellular
  • 3.5.2. Radio Frequency Technology
  • 3.5.3. LPWA Networking
• 3.6. Edge Computing
• 3.7. Blockchain

4. Key Industry Players

• 4.1. Avnet
• 4.2. Arable
• 4.3. Bayer Crop Science
• 4.4. BouMatic
• 4.5. Ceres Imaging
• 4.6. Farmers Edge
• 4.7. Hewlett Packard Enterprise
• 4.8. Hitachi
• 4.9. Johnson Controls
• 4.10. Libelium
• 4.11. Netafim
• 4.12. Nokia WING
• 4.13. Pessl Instruments
• 4.14. Semios
• 4.15. Siemens

5. Market Forecasts

• 5.1. North America
• 5.2. Europe
• 5.3. Asia Pacific
• 5.4. Latin America
• 5.5. Middle East & Africa

6. Conclusions and Recommendations

• 6.1. Recommendations for Governments
• 6.2. Recommendations for Vendors
• 6.3. Recommendations for Producers

7. Acronym and Abbreviation List

8. Table of Contents

9. Table of Charts and Figures

10. Scope of Study, Sources and Methodology, Notes