農業機械間通信（M2M）市場の2030年までの予測： ソリューションタイプ別、農業タイプ別、技術別、用途別、地域別の世界分析

Stratistics MRCによると、世界の農業機械間通信（M2M）市場は2024年に38億4,000万米ドルを占め、予測期間中のCAGRは10.07％で成長し、2030年には68億3,000万米ドルに達する見込みです。

農業機械、機器、管理システム間の自動データ交換を人の手を介さずに可能にすることが、農業機械間通信（M2M）市場の目標です。作物の健康状態、土壌状態、灌漑、家畜管理のリアルタイムモニタリングを通じて、農業におけるM2M技術は、IoTセンサー、無線接続、データ分析を活用することで生産量を増加させる。

2021年7月に10の政府機関が共同で発表した3カ年計画によると、中国は2023年末までに5億6,000万人の5Gモバイル顧客を開拓し、大企業における高速無線技術の普及率を35%に引き上げる計画です。2023年末までに、中国は個人消費者の5G普及率を40%に到達させ、5Gデータが全オンライントラフィックの半分以上を占めることを期待しています。

精密農業への需要の高まり

精密農業はますます普及しつつあり、農業従事者が生産量を増やし、資源を最大限に活用するためのデータ主導の方法を模索する中で、農業機械間通信（M2M）市場を牽引しています。M2M技術は、作物の健康状態、土壌の状態、水の使用量をリアルタイムで監視できるようにすることで、正確な意思決定と効果的な農場管理をサポートします。この技術は、廃棄物の削減、コスト削減、収穫量の最大化を支援するもので、これらはすべて増大する食糧需要を満たすために不可欠なものです。M2M対応精密農業システムの採用は、農薬使用の削減など環境面でのメリットも後押ししています。

複雑さと技術的知識の必要性

農業機械間通信（M2M）システムの導入は、その複雑さと技術要件によって、特に技術に精通していない農業従事者にとっては大きな障害となっています。専門的なトレーニングを受けなければ、ネットワーク化されたセンサー、データ分析、リアルタイム監視ツールをM2Mシステムで維持することは困難です。システムのセットアップ、メンテナンス、データの解釈において、より多くの支援を必要とすることが多いです。技術的要件と学習曲線は、小規模農場がM2M技術に投資する意欲を削ぐ可能性があり、市場全体の拡大を妨げると考えられます。

IoTとセンサー技術の台頭

よりスマートで効果的な農場運営は、IoTとセンサー技術の成長によって可能になり、これが農業機械間通信（M2M）市場を牽引する重要な要因となっています。動物、作物、天候、土壌水分に関するリアルタイムのデータは先進的センサーによって収集され、M2Mシステムによって手順の自動化と資源の最大活用に利用されます。この接続により、労働力の必要性が減り、無駄が省かれ、収量予測が改善されます。IoTの継続的な改善の結果、農業従事者はより正確な洞察を得るようになり、M2Mソリューションがより広く利用できるようになり、効率的で、現代の農業に欠かせないものとなっています。

標準化の欠如

特にデータ統合とデバイスの互換性に関しては、農業M2M市場の標準化の欠如から大きな困難が生じる。メーカーごとに異なる通信プロトコルが採用されているため、複数のサプライヤーの機器を完璧に連携させるのは難しいです。互換性のために追加のミドルウェアやカスタマイズ型ソリューションが必要になる可能性があるため、このようなセグメント化はシステムのセットアップを難しくし、コストを上昇させ、非効率をもたらす可能性があります。標準化されたフレームワークがないため、連携したデータ主導型農業の可能性は制限され、農業におけるM2M技術の一般的な利用を妨げています。

COVID-19の影響

COVID-19の大流行は、新技術の採用を遅らせ、供給網を混乱させることで、農業機械間通信（M2M）ビジネスに大きな影響を与えました。効率化と精密農業に不可欠なM2Mソリューションの導入は、人員不足と移動の制約により、多くの農業事業者にとって困難でした。しかし、この危機は農業におけるデジタル変革の必要性をより緊急なものにし、農業従事者を自動化や遠隔監視技術の調査に向かわせた。産業が新たな経営実態に適応するにつれ、この変化がM2Mセクターの長期的成長を促進すると予想されます。

予測期間中、ハードウェアセグメントが最大になる見込み

精密農業への需要の高まりにより、農業従事者はリアルタイムのデータ分析を通じて作物収量と資源利用を最適化できるため、ハードウェアセグメントが最大になると推定されます。労働コストの上昇が自動化技術の採用を後押しし、手作業への依存を減らしています。さらに、センサー技術と接続ソリューションの進歩は、作業効率を高め、遠隔監視を容易にします。スマート農業実践を推進する政府の取り組みがこの成長をさらに後押しし、M2Mソリューションが近代的な農業実践に不可欠なものとなっています。

予測期間中、精密農業セグメントのCAGRが最も高くなる見込み

精密農業セグメントは、環境変数、作物の健康状態、土壌状態に関する最新情報を提供するセンサー技術の発展により、予測期間中に最も高いCAGRを記録すると予想されます。データ主導の意思決定は、人工知能と機械学習の組み合わせによってさらにサポートされ、迅速な作物管理行動を可能にします。さらに、効率的な農作業をサポートする精密農業技術の利用は、世界の食糧需要の増大と持続可能性への懸念が後押ししています。

最大のシェアを持つ地域

人口の急速な拡大、食糧需要の増加、環境に優しい農法への意識の高まりから、予測期間中、アジア太平洋が最大の市場シェアを占めると予想されます。M2Mの導入は、この地域の政府が生産と資源効率の向上を目的としたスマート農業と精密農業への取り組みを後押ししていることで加速しています。さらに、IoTと通信インフラの発展により、農業のさまざまな場面でリアルタイムのモニタリングが可能になっています。

CAGRが最も高い地域

北米は、技術開発、運営費の増加に直面した効果的な資源管理の必要性、精密農業への強い需要により、予測期間中に最も高いCAGRを記録すると予測されます。同地域の強固な通信インフラは、M2Mソリューションの幅広い利用を促進し、データ主導の意思決定やリアルタイムのモニタリングを可能にしています。M2Mへの投資は、節水やサステイナブル農業を支援する政府のプログラムやインセンティブによっても後押しされています。北米農業における自動化の導入は、大規模な農業技術ビジネスの存在と人手不足の深刻化によってさらに加速しています。

無料のカスタマイズサービス

本レポートをご購読の顧客には、以下の無料カスタマイズオプションのいずれかをご利用いただけます。

• 企業プロファイル
  • 追加市場参入企業の包括的プロファイリング（3社まで）
  • 主要企業のSWOT分析（3社まで）
• 地域セグメンテーション
  • 顧客の関心に応じた主要国の市場推定・予測・CAGR（注：フィージビリティチェックによる）
• 競合ベンチマーキング
  • 製品ポートフォリオ、地理的プレゼンス、戦略的提携別の主要企業のベンチマーキング

目次

第1章 エグゼクティブサマリー

第2章 序文

• 概要
• ステークホルダー
• 調査範囲
• 調査手法
  • データマイニング
  • データ分析
  • データ検証
  • 調査アプローチ
• 調査情報源
  • 1次調査情報源
  • 2次調査情報源
  • 前提条件

第3章 市場動向分析

• イントロダクション
• 促進要因
• 抑制要因
• 機会
• 脅威
• 技術分析
• 用途分析
• 新興市場
• COVID-19の影響

第4章 ポーターのファイブフォース分析

• 供給企業の交渉力
• 買い手の交渉力
• 代替品の脅威
• 新規参入業者の脅威
• 競争企業間の敵対関係

第5章 世界の農業機械間通信（M2M）市場：ソリューションタイプ別

• イントロダクション
• ハードウェア
• ソフトウェア
• サービス

第6章 世界の農業機械間通信（M2M）市場：農業タイプ別

• イントロダクション
• 養殖業
• 耕作農業
• 園芸
• 畜産

第7章 世界の農業機械間通信（M2M）市場：技術別

• イントロダクション
• セルラーM2M
• 短距離
• 衛星M2M
• 有線
• 低電力広域ネットワーク
• その他

第8章 世界の農業機械間通信（M2M）市場：用途別

• イントロダクション
• 精密農業
• 家畜監視
• 養殖
• スマート温室
• 土壌モニタリング
• 在庫と設備管理
• 作物モニタリング
• リモートセンシングとイメージング
• サプライチェーンと物流
• その他

第9章 世界の農業機械間通信（M2M）市場：地域別

• イントロダクション
• 北米
  • 米国
  • カナダ
  • メキシコ
• 欧州
  • ドイツ
  • 英国
  • イタリア
  • フランス
  • スペイン
  • その他の欧州
• アジア太平洋
  • 日本
  • 中国
  • インド
  • オーストラリア
  • ニュージーランド
  • 韓国
  • その他のアジア太平洋
• 南米
  • アルゼンチン
  • ブラジル
  • チリ
  • その他の南米
• 中東・アフリカ
  • サウジアラビア
  • アラブ首長国連邦
  • カタール
  • 南アフリカ
  • その他の中東・アフリカ

第10章 主要開発

• 契約、パートナーシップ、コラボレーション、合弁事業
• 買収と合併
• 新製品発売
• 事業拡大
• その他の主要戦略

第11章 企業プロファイリング

• John Deere
• Trimble Inc.
• AGCO Corporation
• CNH Industrial
• Yara International ASA
• Kubota Corporation
• Hexagon Agriculture
• AG Leader Technology
• Raven Industries
• Digi International
• Telit Communications
• Orange Business Services
• Vodafone Group Plc
• Cisco Systems Inc.
• AT&T Inc.
• Siemens AG

List of Tables

• Table 1 Global Agriculture Machine to Machine (M2M) Market Outlook, By Region (2022-2030) ($MN)
• Table 2 Global Agriculture Machine to Machine (M2M) Market Outlook, By Solution Type (2022-2030) ($MN)
• Table 3 Global Agriculture Machine to Machine (M2M) Market Outlook, By Hardware (2022-2030) ($MN)
• Table 4 Global Agriculture Machine to Machine (M2M) Market Outlook, By Software (2022-2030) ($MN)
• Table 5 Global Agriculture Machine to Machine (M2M) Market Outlook, By Services (2022-2030) ($MN)
• Table 6 Global Agriculture Machine to Machine (M2M) Market Outlook, By Agriculture Type (2022-2030) ($MN)
• Table 7 Global Agriculture Machine to Machine (M2M) Market Outlook, By Aquaculture (2022-2030) ($MN)
• Table 8 Global Agriculture Machine to Machine (M2M) Market Outlook, By Arable Farming (2022-2030) ($MN)
• Table 9 Global Agriculture Machine to Machine (M2M) Market Outlook, By Horticulture (2022-2030) ($MN)
• Table 10 Global Agriculture Machine to Machine (M2M) Market Outlook, By Livestock Farming (2022-2030) ($MN)
• Table 11 Global Agriculture Machine to Machine (M2M) Market Outlook, By Technology (2022-2030) ($MN)
• Table 12 Global Agriculture Machine to Machine (M2M) Market Outlook, By Cellular M2M (2022-2030) ($MN)
• Table 13 Global Agriculture Machine to Machine (M2M) Market Outlook, By Short-Range (2022-2030) ($MN)
• Table 14 Global Agriculture Machine to Machine (M2M) Market Outlook, By Satellite M2M (2022-2030) ($MN)
• Table 15 Global Agriculture Machine to Machine (M2M) Market Outlook, By Wired (2022-2030) ($MN)
• Table 16 Global Agriculture Machine to Machine (M2M) Market Outlook, By Low-Power Wide Area Networks (2022-2030) ($MN)
• Table 17 Global Agriculture Machine to Machine (M2M) Market Outlook, By Other Technologies (2022-2030) ($MN)
• Table 18 Global Agriculture Machine to Machine (M2M) Market Outlook, By Application (2022-2030) ($MN)
• Table 19 Global Agriculture Machine to Machine (M2M) Market Outlook, By Precision Farming (2022-2030) ($MN)
• Table 20 Global Agriculture Machine to Machine (M2M) Market Outlook, By Livestock Monitoring (2022-2030) ($MN)
• Table 21 Global Agriculture Machine to Machine (M2M) Market Outlook, By Fish Farming (2022-2030) ($MN)
• Table 22 Global Agriculture Machine to Machine (M2M) Market Outlook, By Smart Greenhouses (2022-2030) ($MN)
• Table 23 Global Agriculture Machine to Machine (M2M) Market Outlook, By Soil Monitoring (2022-2030) ($MN)
• Table 24 Global Agriculture Machine to Machine (M2M) Market Outlook, By Inventory and Equipment Management (2022-2030) ($MN)
• Table 25 Global Agriculture Machine to Machine (M2M) Market Outlook, By Crop Monitoring (2022-2030) ($MN)
• Table 26 Global Agriculture Machine to Machine (M2M) Market Outlook, By Remote Sensing & Imaging (2022-2030) ($MN)
• Table 27 Global Agriculture Machine to Machine (M2M) Market Outlook, By Supply Chain & Logistics (2022-2030) ($MN)
• Table 28 Global Agriculture Machine to Machine (M2M) Market Outlook, By Other Applications (2022-2030) ($MN)
• Table 29 North America Agriculture Machine to Machine (M2M) Market Outlook, By Country (2022-2030) ($MN)
• Table 30 North America Agriculture Machine to Machine (M2M) Market Outlook, By Solution Type (2022-2030) ($MN)
• Table 31 North America Agriculture Machine to Machine (M2M) Market Outlook, By Hardware (2022-2030) ($MN)
• Table 32 North America Agriculture Machine to Machine (M2M) Market Outlook, By Software (2022-2030) ($MN)
• Table 33 North America Agriculture Machine to Machine (M2M) Market Outlook, By Services (2022-2030) ($MN)
• Table 34 North America Agriculture Machine to Machine (M2M) Market Outlook, By Agriculture Type (2022-2030) ($MN)
• Table 35 North America Agriculture Machine to Machine (M2M) Market Outlook, By Aquaculture (2022-2030) ($MN)
• Table 36 North America Agriculture Machine to Machine (M2M) Market Outlook, By Arable Farming (2022-2030) ($MN)
• Table 37 North America Agriculture Machine to Machine (M2M) Market Outlook, By Horticulture (2022-2030) ($MN)
• Table 38 North America Agriculture Machine to Machine (M2M) Market Outlook, By Livestock Farming (2022-2030) ($MN)
• Table 39 North America Agriculture Machine to Machine (M2M) Market Outlook, By Technology (2022-2030) ($MN)
• Table 40 North America Agriculture Machine to Machine (M2M) Market Outlook, By Cellular M2M (2022-2030) ($MN)
• Table 41 North America Agriculture Machine to Machine (M2M) Market Outlook, By Short-Range (2022-2030) ($MN)
• Table 42 North America Agriculture Machine to Machine (M2M) Market Outlook, By Satellite M2M (2022-2030) ($MN)
• Table 43 North America Agriculture Machine to Machine (M2M) Market Outlook, By Wired (2022-2030) ($MN)
• Table 44 North America Agriculture Machine to Machine (M2M) Market Outlook, By Low-Power Wide Area Networks (2022-2030) ($MN)
• Table 45 North America Agriculture Machine to Machine (M2M) Market Outlook, By Other Technologies (2022-2030) ($MN)
• Table 46 North America Agriculture Machine to Machine (M2M) Market Outlook, By Application (2022-2030) ($MN)
• Table 47 North America Agriculture Machine to Machine (M2M) Market Outlook, By Precision Farming (2022-2030) ($MN)
• Table 48 North America Agriculture Machine to Machine (M2M) Market Outlook, By Livestock Monitoring (2022-2030) ($MN)
• Table 49 North America Agriculture Machine to Machine (M2M) Market Outlook, By Fish Farming (2022-2030) ($MN)
• Table 50 North America Agriculture Machine to Machine (M2M) Market Outlook, By Smart Greenhouses (2022-2030) ($MN)
• Table 51 North America Agriculture Machine to Machine (M2M) Market Outlook, By Soil Monitoring (2022-2030) ($MN)
• Table 52 North America Agriculture Machine to Machine (M2M) Market Outlook, By Inventory and Equipment Management (2022-2030) ($MN)
• Table 53 North America Agriculture Machine to Machine (M2M) Market Outlook, By Crop Monitoring (2022-2030) ($MN)
• Table 54 North America Agriculture Machine to Machine (M2M) Market Outlook, By Remote Sensing & Imaging (2022-2030) ($MN)
• Table 55 North America Agriculture Machine to Machine (M2M) Market Outlook, By Supply Chain & Logistics (2022-2030) ($MN)
• Table 56 North America Agriculture Machine to Machine (M2M) Market Outlook, By Other Applications (2022-2030) ($MN)
• Table 57 Europe Agriculture Machine to Machine (M2M) Market Outlook, By Country (2022-2030) ($MN)
• Table 58 Europe Agriculture Machine to Machine (M2M) Market Outlook, By Solution Type (2022-2030) ($MN)
• Table 59 Europe Agriculture Machine to Machine (M2M) Market Outlook, By Hardware (2022-2030) ($MN)
• Table 60 Europe Agriculture Machine to Machine (M2M) Market Outlook, By Software (2022-2030) ($MN)
• Table 61 Europe Agriculture Machine to Machine (M2M) Market Outlook, By Services (2022-2030) ($MN)
• Table 62 Europe Agriculture Machine to Machine (M2M) Market Outlook, By Agriculture Type (2022-2030) ($MN)
• Table 63 Europe Agriculture Machine to Machine (M2M) Market Outlook, By Aquaculture (2022-2030) ($MN)
• Table 64 Europe Agriculture Machine to Machine (M2M) Market Outlook, By Arable Farming (2022-2030) ($MN)
• Table 65 Europe Agriculture Machine to Machine (M2M) Market Outlook, By Horticulture (2022-2030) ($MN)
• Table 66 Europe Agriculture Machine to Machine (M2M) Market Outlook, By Livestock Farming (2022-2030) ($MN)
• Table 67 Europe Agriculture Machine to Machine (M2M) Market Outlook, By Technology (2022-2030) ($MN)
• Table 68 Europe Agriculture Machine to Machine (M2M) Market Outlook, By Cellular M2M (2022-2030) ($MN)
• Table 69 Europe Agriculture Machine to Machine (M2M) Market Outlook, By Short-Range (2022-2030) ($MN)
• Table 70 Europe Agriculture Machine to Machine (M2M) Market Outlook, By Satellite M2M (2022-2030) ($MN)
• Table 71 Europe Agriculture Machine to Machine (M2M) Market Outlook, By Wired (2022-2030) ($MN)
• Table 72 Europe Agriculture Machine to Machine (M2M) Market Outlook, By Low-Power Wide Area Networks (2022-2030) ($MN)
• Table 73 Europe Agriculture Machine to Machine (M2M) Market Outlook, By Other Technologies (2022-2030) ($MN)
• Table 74 Europe Agriculture Machine to Machine (M2M) Market Outlook, By Application (2022-2030) ($MN)
• Table 75 Europe Agriculture Machine to Machine (M2M) Market Outlook, By Precision Farming (2022-2030) ($MN)
• Table 76 Europe Agriculture Machine to Machine (M2M) Market Outlook, By Livestock Monitoring (2022-2030) ($MN)
• Table 77 Europe Agriculture Machine to Machine (M2M) Market Outlook, By Fish Farming (2022-2030) ($MN)
• Table 78 Europe Agriculture Machine to Machine (M2M) Market Outlook, By Smart Greenhouses (2022-2030) ($MN)
• Table 79 Europe Agriculture Machine to Machine (M2M) Market Outlook, By Soil Monitoring (2022-2030) ($MN)
• Table 80 Europe Agriculture Machine to Machine (M2M) Market Outlook, By Inventory and Equipment Management (2022-2030) ($MN)
• Table 81 Europe Agriculture Machine to Machine (M2M) Market Outlook, By Crop Monitoring (2022-2030) ($MN)
• Table 82 Europe Agriculture Machine to Machine (M2M) Market Outlook, By Remote Sensing & Imaging (2022-2030) ($MN)
• Table 83 Europe Agriculture Machine to Machine (M2M) Market Outlook, By Supply Chain & Logistics (2022-2030) ($MN)
• Table 84 Europe Agriculture Machine to Machine (M2M) Market Outlook, By Other Applications (2022-2030) ($MN)
• Table 85 Asia Pacific Agriculture Machine to Machine (M2M) Market Outlook, By Country (2022-2030) ($MN)
• Table 86 Asia Pacific Agriculture Machine to Machine (M2M) Market Outlook, By Solution Type (2022-2030) ($MN)
• Table 87 Asia Pacific Agriculture Machine to Machine (M2M) Market Outlook, By Hardware (2022-2030) ($MN)
• Table 88 Asia Pacific Agriculture Machine to Machine (M2M) Market Outlook, By Software (2022-2030) ($MN)
• Table 89 Asia Pacific Agriculture Machine to Machine (M2M) Market Outlook, By Services (2022-2030) ($MN)
• Table 90 Asia Pacific Agriculture Machine to Machine (M2M) Market Outlook, By Agriculture Type (2022-2030) ($MN)
• Table 91 Asia Pacific Agriculture Machine to Machine (M2M) Market Outlook, By Aquaculture (2022-2030) ($MN)
• Table 92 Asia Pacific Agriculture Machine to Machine (M2M) Market Outlook, By Arable Farming (2022-2030) ($MN)
• Table 93 Asia Pacific Agriculture Machine to Machine (M2M) Market Outlook, By Horticulture (2022-2030) ($MN)
• Table 94 Asia Pacific Agriculture Machine to Machine (M2M) Market Outlook, By Livestock Farming (2022-2030) ($MN)
• Table 95 Asia Pacific Agriculture Machine to Machine (M2M) Market Outlook, By Technology (2022-2030) ($MN)
• Table 96 Asia Pacific Agriculture Machine to Machine (M2M) Market Outlook, By Cellular M2M (2022-2030) ($MN)
• Table 97 Asia Pacific Agriculture Machine to Machine (M2M) Market Outlook, By Short-Range (2022-2030) ($MN)
• Table 98 Asia Pacific Agriculture Machine to Machine (M2M) Market Outlook, By Satellite M2M (2022-2030) ($MN)
• Table 99 Asia Pacific Agriculture Machine to Machine (M2M) Market Outlook, By Wired (2022-2030) ($MN)
• Table 100 Asia Pacific Agriculture Machine to Machine (M2M) Market Outlook, By Low-Power Wide Area Networks (2022-2030) ($MN)
• Table 101 Asia Pacific Agriculture Machine to Machine (M2M) Market Outlook, By Other Technologies (2022-2030) ($MN)
• Table 102 Asia Pacific Agriculture Machine to Machine (M2M) Market Outlook, By Application (2022-2030) ($MN)
• Table 103 Asia Pacific Agriculture Machine to Machine (M2M) Market Outlook, By Precision Farming (2022-2030) ($MN)
• Table 104 Asia Pacific Agriculture Machine to Machine (M2M) Market Outlook, By Livestock Monitoring (2022-2030) ($MN)
• Table 105 Asia Pacific Agriculture Machine to Machine (M2M) Market Outlook, By Fish Farming (2022-2030) ($MN)
• Table 106 Asia Pacific Agriculture Machine to Machine (M2M) Market Outlook, By Smart Greenhouses (2022-2030) ($MN)
• Table 107 Asia Pacific Agriculture Machine to Machine (M2M) Market Outlook, By Soil Monitoring (2022-2030) ($MN)
• Table 108 Asia Pacific Agriculture Machine to Machine (M2M) Market Outlook, By Inventory and Equipment Management (2022-2030) ($MN)
• Table 109 Asia Pacific Agriculture Machine to Machine (M2M) Market Outlook, By Crop Monitoring (2022-2030) ($MN)
• Table 110 Asia Pacific Agriculture Machine to Machine (M2M) Market Outlook, By Remote Sensing & Imaging (2022-2030) ($MN)
• Table 111 Asia Pacific Agriculture Machine to Machine (M2M) Market Outlook, By Supply Chain & Logistics (2022-2030) ($MN)
• Table 112 Asia Pacific Agriculture Machine to Machine (M2M) Market Outlook, By Other Applications (2022-2030) ($MN)
• Table 113 South America Agriculture Machine to Machine (M2M) Market Outlook, By Country (2022-2030) ($MN)
• Table 114 South America Agriculture Machine to Machine (M2M) Market Outlook, By Solution Type (2022-2030) ($MN)
• Table 115 South America Agriculture Machine to Machine (M2M) Market Outlook, By Hardware (2022-2030) ($MN)
• Table 116 South America Agriculture Machine to Machine (M2M) Market Outlook, By Software (2022-2030) ($MN)
• Table 117 South America Agriculture Machine to Machine (M2M) Market Outlook, By Services (2022-2030) ($MN)
• Table 118 South America Agriculture Machine to Machine (M2M) Market Outlook, By Agriculture Type (2022-2030) ($MN)
• Table 119 South America Agriculture Machine to Machine (M2M) Market Outlook, By Aquaculture (2022-2030) ($MN)
• Table 120 South America Agriculture Machine to Machine (M2M) Market Outlook, By Arable Farming (2022-2030) ($MN)
• Table 121 South America Agriculture Machine to Machine (M2M) Market Outlook, By Horticulture (2022-2030) ($MN)
• Table 122 South America Agriculture Machine to Machine (M2M) Market Outlook, By Livestock Farming (2022-2030) ($MN)
• Table 123 South America Agriculture Machine to Machine (M2M) Market Outlook, By Technology (2022-2030) ($MN)
• Table 124 South America Agriculture Machine to Machine (M2M) Market Outlook, By Cellular M2M (2022-2030) ($MN)
• Table 125 South America Agriculture Machine to Machine (M2M) Market Outlook, By Short-Range (2022-2030) ($MN)
• Table 126 South America Agriculture Machine to Machine (M2M) Market Outlook, By Satellite M2M (2022-2030) ($MN)
• Table 127 South America Agriculture Machine to Machine (M2M) Market Outlook, By Wired (2022-2030) ($MN)
• Table 128 South America Agriculture Machine to Machine (M2M) Market Outlook, By Low-Power Wide Area Networks (2022-2030) ($MN)
• Table 129 South America Agriculture Machine to Machine (M2M) Market Outlook, By Other Technologies (2022-2030) ($MN)
• Table 130 South America Agriculture Machine to Machine (M2M) Market Outlook, By Application (2022-2030) ($MN)
• Table 131 South America Agriculture Machine to Machine (M2M) Market Outlook, By Precision Farming (2022-2030) ($MN)
• Table 132 South America Agriculture Machine to Machine (M2M) Market Outlook, By Livestock Monitoring (2022-2030) ($MN)
• Table 133 South America Agriculture Machine to Machine (M2M) Market Outlook, By Fish Farming (2022-2030) ($MN)
• Table 134 South America Agriculture Machine to Machine (M2M) Market Outlook, By Smart Greenhouses (2022-2030) ($MN)
• Table 135 South America Agriculture Machine to Machine (M2M) Market Outlook, By Soil Monitoring (2022-2030) ($MN)
• Table 136 South America Agriculture Machine to Machine (M2M) Market Outlook, By Inventory and Equipment Management (2022-2030) ($MN)
• Table 137 South America Agriculture Machine to Machine (M2M) Market Outlook, By Crop Monitoring (2022-2030) ($MN)
• Table 138 South America Agriculture Machine to Machine (M2M) Market Outlook, By Remote Sensing & Imaging (2022-2030) ($MN)
• Table 139 South America Agriculture Machine to Machine (M2M) Market Outlook, By Supply Chain & Logistics (2022-2030) ($MN)
• Table 140 South America Agriculture Machine to Machine (M2M) Market Outlook, By Other Applications (2022-2030) ($MN)
• Table 141 Middle East & Africa Agriculture Machine to Machine (M2M) Market Outlook, By Country (2022-2030) ($MN)
• Table 142 Middle East & Africa Agriculture Machine to Machine (M2M) Market Outlook, By Solution Type (2022-2030) ($MN)
• Table 143 Middle East & Africa Agriculture Machine to Machine (M2M) Market Outlook, By Hardware (2022-2030) ($MN)
• Table 144 Middle East & Africa Agriculture Machine to Machine (M2M) Market Outlook, By Software (2022-2030) ($MN)
• Table 145 Middle East & Africa Agriculture Machine to Machine (M2M) Market Outlook, By Services (2022-2030) ($MN)
• Table 146 Middle East & Africa Agriculture Machine to Machine (M2M) Market Outlook, By Agriculture Type (2022-2030) ($MN)
• Table 147 Middle East & Africa Agriculture Machine to Machine (M2M) Market Outlook, By Aquaculture (2022-2030) ($MN)
• Table 148 Middle East & Africa Agriculture Machine to Machine (M2M) Market Outlook, By Arable Farming (2022-2030) ($MN)
• Table 149 Middle East & Africa Agriculture Machine to Machine (M2M) Market Outlook, By Horticulture (2022-2030) ($MN)
• Table 150 Middle East & Africa Agriculture Machine to Machine (M2M) Market Outlook, By Livestock Farming (2022-2030) ($MN)
• Table 151 Middle East & Africa Agriculture Machine to Machine (M2M) Market Outlook, By Technology (2022-2030) ($MN)
• Table 152 Middle East & Africa Agriculture Machine to Machine (M2M) Market Outlook, By Cellular M2M (2022-2030) ($MN)
• Table 153 Middle East & Africa Agriculture Machine to Machine (M2M) Market Outlook, By Short-Range (2022-2030) ($MN)
• Table 154 Middle East & Africa Agriculture Machine to Machine (M2M) Market Outlook, By Satellite M2M (2022-2030) ($MN)
• Table 155 Middle East & Africa Agriculture Machine to Machine (M2M) Market Outlook, By Wired (2022-2030) ($MN)
• Table 156 Middle East & Africa Agriculture Machine to Machine (M2M) Market Outlook, By Low-Power Wide Area Networks (2022-2030) ($MN)
• Table 157 Middle East & Africa Agriculture Machine to Machine (M2M) Market Outlook, By Other Technologies (2022-2030) ($MN)
• Table 158 Middle East & Africa Agriculture Machine to Machine (M2M) Market Outlook, By Application (2022-2030) ($MN)
• Table 159 Middle East & Africa Agriculture Machine to Machine (M2M) Market Outlook, By Precision Farming (2022-2030) ($MN)
• Table 160 Middle East & Africa Agriculture Machine to Machine (M2M) Market Outlook, By Livestock Monitoring (2022-2030) ($MN)
• Table 161 Middle East & Africa Agriculture Machine to Machine (M2M) Market Outlook, By Fish Farming (2022-2030) ($MN)
• Table 162 Middle East & Africa Agriculture Machine to Machine (M2M) Market Outlook, By Smart Greenhouses (2022-2030) ($MN)
• Table 163 Middle East & Africa Agriculture Machine to Machine (M2M) Market Outlook, By Soil Monitoring (2022-2030) ($MN)
• Table 164 Middle East & Africa Agriculture Machine to Machine (M2M) Market Outlook, By Inventory and Equipment Management (2022-2030) ($MN)
• Table 165 Middle East & Africa Agriculture Machine to Machine (M2M) Market Outlook, By Crop Monitoring (2022-2030) ($MN)
• Table 166 Middle East & Africa Agriculture Machine to Machine (M2M) Market Outlook, By Remote Sensing & Imaging (2022-2030) ($MN)
• Table 167 Middle East & Africa Agriculture Machine to Machine (M2M) Market Outlook, By Supply Chain & Logistics (2022-2030) ($MN)
• Table 168 Middle East & Africa Agriculture Machine to Machine (M2M) Market Outlook, By Other Applications (2022-2030) ($MN)

According to Stratistics MRC, the Global Agriculture Machine to Machine (M2M) Market is accounted for $3.84 billion in 2024 and is expected to reach $6.83 billion by 2030 growing at a CAGR of 10.07% during the forecast period. Enabling automated data interchange between agricultural machinery, devices, and management systems without the need for human interaction is the target of the agriculture machine-to-machine (M2M) market. Through real-time monitoring of crop health, soil conditions, irrigation, and animal management, M2M technology in agriculture increases production by leveraging IoT sensors, wireless connectivity, and data analytics.

According to a three-year plan jointly released by ten government entities in July 2021, China plans to develop 560 million 5G mobile customers by the end of 2023 and increase the penetration rate of fast wireless technology among large industrial firms to 35%. By the end of 2023, China hopes to have reached a 40 percent penetration rate of 5G among individual consumers, with 5G data making up more than half of all online traffic.

Market Dynamics:

Driver:

Growing demand for precision agriculture

Precision farming is becoming more and more popular, which is driving the agriculture machine-to-machine (M2M) market as farmers look for data-driven methods to increase output and maximize resource utilization. M2M technology supports accurate decision-making and effective farm management by enabling real-time monitoring of crop health, soil conditions, and water usage. This technology aids in waste reduction, cost reduction, and yield maximization-all of which are essential for satisfying the growing demand for food. The adoption of M2M-enabled precision agriculture systems is also encouraged by environmental advantages, such as reduced pesticide use.

Restraint:

Complexity and technical knowledge requirement

Adoption of Agriculture Machine-to-Machine (M2M) systems is severely hampered by their complexity and technical requirements, particularly for farmers with limited familiarity with technology. Without specialized training, maintaining networked sensors, data analytics, and real-time monitoring tools can be difficult in M2M systems. Higher operating expenses result from this complexity, which frequently calls for more assistance with system setup, maintenance, and data interpretation. The technological requirements and learning curve may discourage smaller farms from investing in M2M technology, which would impede the expansion of the market as a whole.

Opportunity:

Rise in IoT and sensor technology

Smarter, more effective farm operations are made possible by the growth of IoT and sensor technologies, which is a key factor driving the agriculture machine-to-machine (M2M) market. Real-time data on animals, crops, weather, and soil moisture is collected by sophisticated sensors and used by M2M systems to automate procedures and maximize resource utilization. This connection lowers the need for labour, cuts down on waste, and improves yield forecasts. Farmers are gaining more accurate insights as a result of continuous IoT improvements, which make M2M solutions more widely available, efficient, and crucial to contemporary agriculture.

Threat:

Lack of standardization

Significant difficulties arise from the agriculture machine-to-machine (M2M) market's lack of standardization, especially when it comes to data integration and device compatibility. The employment of different communication protocols by different manufacturers makes it challenging for equipment from several suppliers to function together flawlessly. Due to the possibility of requiring additional middleware or customized solutions for compatibility, this fragmentation can make system setup more difficult, raise costs, and result in inefficiencies. The entire potential of linked, data-driven farming is limited in the absence of standardized frameworks, which impede the general use of M2M technology in agriculture.

Covid-19 Impact

The COVID-19 pandemic had a major impact on the agriculture machine-to-machine (M2M) business by delaying the adoption of new technology and upsetting supply networks. Adoption of M2M solutions, which are essential for efficiency and precision farming, was difficult for many agricultural businesses due to personnel shortages and movement constraints. But the crisis also made the need for digital transformation in agriculture more urgent, leading farmers to investigate automation and remote monitoring technology. As the industry adapts to the new operating realities, this change is anticipated to propel long-term growth in the M2M sector.

The hardware segment is expected to be the largest during the forecast period

The hardware segment is estimated to be the largest, due to increasing demand for precision agriculture enables farmers to optimize crop yields and resource use through real-time data analysis. Rising labour costs push the adoption of automation technologies, reducing dependency on manual labour. Additionally, advancements in sensor technology and connectivity solutions enhance operational efficiency and facilitate remote monitoring. Government initiatives promoting smart farming practices further support this growth, making M2M solutions essential for modern agricultural practices.

The precision farming segment is expected to have the highest CAGR during the forecast period

The precision farming segment is anticipated to witness the highest CAGR during the forecast period, due to the developments in sensor technology, which offer up-to-date information on environmental variables, crop health, and soil conditions. Data-driven decision-making is further supported by the combination of artificial intelligence and machine learning, which enables prompt crop management actions. Additionally, the use of precision farming techniques that support effective agricultural operations is pushed by growing global food demand and sustainability concerns.

Region with largest share:

Asia Pacific is expected to have the largest market share during the forecast period due to rapid population expansion, increased food demand, and growing consciousness of environmentally friendly agricultural methods. M2M adoption is accelerated by the region's governments' backing of smart farming and precision agricultural efforts aimed at increasing production and resource efficiency. Furthermore, real-time monitoring in a variety of agricultural contexts is made possible by developments in IoT and communication infrastructure.

Region with highest CAGR:

North America is projected to witness the highest CAGR over the forecast period, owing to technological developments, the necessity for effective resource management in the face of growing operating expenses, and the strong demand for precision agriculture. The region's robust communication infrastructure facilitates the broad use of M2M solutions, allowing for data-driven decision-making and real-time monitoring. M2M investment is also encouraged by government programs and incentives that support water conservation and sustainable farming. The adoption of automation in North American agriculture is further fuelled by the existence of significant agricultural technology businesses and growing manpower shortages.

Key players in the market

Some of the key players profiled in the Agriculture Machine to Machine (M2M) Market include John Deere, Trimble Inc., AGCO Corporation, CNH Industrial, Yara International ASA, Kubota Corporation, Hexagon Agriculture, AG Leader Technology, Raven Industries, Digi International, Telit Communications, Orange Business Services, Vodafone Group Plc, Cisco Systems Inc., AT&T Inc., Siemens AG.

Key Developments:

In October 2024, John Deere announced an expansion to its Agriculture & Turf training center and field site near Orlando, Florida. This investment advances the company's commitment to customer success through the support of John Deere's world-class dealer channel.

In January 2023, AGCO Autonomous Tractor introduced an autonomous tractor equipped with M2M technology for precision farming applications.

In March 2021, Trimble Ag Software Update launched a cloud-based platform update that enhances data analysis and visualization for precision agriculture.

Solution Types Covered:

• Hardware
• Software
• Services

Agriculture Types Covered:

• Aquaculture
• Arable Farming
• Horticulture
• Livestock Farming

Technologies Covered:

• Cellular M2M
• Short-Range
• Satellite M2M
• Wired
• Low-Power Wide Area Networks
• Other Technologies

Applications Covered:

• Precision Farming
• Livestock Monitoring
• Fish Farming
• Smart Greenhouses
• Soil Monitoring
• Inventory and Equipment Management
• Crop Monitoring
• Remote Sensing & Imaging
• Supply Chain & Logistics
• Other Applications

Regions Covered:

• North America
  • US
  • Canada
  • Mexico
• Europe
  • Germany
  • UK
  • Italy
  • France
  • Spain
  • Rest of Europe
• Asia Pacific
  • Japan
  • China
  • India
  • Australia
  • New Zealand
  • South Korea
  • Rest of Asia Pacific
• South America
  • Argentina
  • Brazil
  • Chile
  • Rest of South America
• Middle East & Africa
  • Saudi Arabia
  • UAE
  • Qatar
  • South Africa
  • Rest of Middle East & Africa

What our report offers:

• Market share assessments for the regional and country-level segments
• Strategic recommendations for the new entrants
• Covers Market data for the years 2022, 2023, 2024, 2026, and 2030
• Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
• Strategic recommendations in key business segments based on the market estimations
• Competitive landscaping mapping the key common trends
• Company profiling with detailed strategies, financials, and recent developments
• Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

• Company Profiling
  • Comprehensive profiling of additional market players (up to 3)
  • SWOT Analysis of key players (up to 3)
• Regional Segmentation
  • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
• Competitive Benchmarking
  • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

• 2.1 Abstract
• 2.2 Stake Holders
• 2.3 Research Scope
• 2.4 Research Methodology
  • 2.4.1 Data Mining
  • 2.4.2 Data Analysis
  • 2.4.3 Data Validation
  • 2.4.4 Research Approach
• 2.5 Research Sources
  • 2.5.1 Primary Research Sources
  • 2.5.2 Secondary Research Sources
  • 2.5.3 Assumptions

3 Market Trend Analysis

• 3.1 Introduction
• 3.2 Drivers
• 3.3 Restraints
• 3.4 Opportunities
• 3.5 Threats
• 3.6 Technology Analysis
• 3.7 Application Analysis
• 3.8 Emerging Markets
• 3.9 Impact of Covid-19

4 Porters Five Force Analysis

• 4.1 Bargaining power of suppliers
• 4.2 Bargaining power of buyers
• 4.3 Threat of substitutes
• 4.4 Threat of new entrants
• 4.5 Competitive rivalry

5 Global Agriculture Machine to Machine (M2M) Market, By Solution Type

• 5.1 Introduction
• 5.2 Hardware
• 5.3 Software
• 5.4 Services

6 Global Agriculture Machine to Machine (M2M) Market, By Agriculture Type

• 6.1 Introduction
• 6.2 Aquaculture
• 6.3 Arable Farming
• 6.4 Horticulture
• 6.5 Livestock Farming

7 Global Agriculture Machine to Machine (M2M) Market, By Technology

• 7.1 Introduction
• 7.2 Cellular M2M
• 7.3 Short-Range
• 7.4 Satellite M2M
• 7.5 Wired
• 7.6 Low-Power Wide Area Networks
• 7.7 Other Technologies

8 Global Agriculture Machine to Machine (M2M) Market, By Application

• 8.1 Introduction
• 8.2 Precision Farming
• 8.3 Livestock Monitoring
• 8.4 Fish Farming
• 8.5 Smart Greenhouses
• 8.6 Soil Monitoring
• 8.7 Inventory and Equipment Management
• 8.8 Crop Monitoring
• 8.9 Remote Sensing & Imaging
• 8.10 Supply Chain & Logistics
• 8.11 Other Applications

9 Global Agriculture Machine to Machine (M2M) Market, By Geography

• 9.1 Introduction
• 9.2 North America
  • 9.2.1 US
  • 9.2.2 Canada
  • 9.2.3 Mexico
• 9.3 Europe
  • 9.3.1 Germany
  • 9.3.2 UK
  • 9.3.3 Italy
  • 9.3.4 France
  • 9.3.5 Spain
  • 9.3.6 Rest of Europe
• 9.4 Asia Pacific
  • 9.4.1 Japan
  • 9.4.2 China
  • 9.4.3 India
  • 9.4.4 Australia
  • 9.4.5 New Zealand
  • 9.4.6 South Korea
  • 9.4.7 Rest of Asia Pacific
• 9.5 South America
  • 9.5.1 Argentina
  • 9.5.2 Brazil
  • 9.5.3 Chile
  • 9.5.4 Rest of South America
• 9.6 Middle East & Africa
  • 9.6.1 Saudi Arabia
  • 9.6.2 UAE
  • 9.6.3 Qatar
  • 9.6.4 South Africa
  • 9.6.5 Rest of Middle East & Africa

10 Key Developments

• 10.1 Agreements, Partnerships, Collaborations and Joint Ventures
• 10.2 Acquisitions & Mergers
• 10.3 New Product Launch
• 10.4 Expansions
• 10.5 Other Key Strategies

11 Company Profiling

• 11.1 John Deere
• 11.2 Trimble Inc.
• 11.3 AGCO Corporation
• 11.4 CNH Industrial
• 11.5 Yara International ASA
• 11.6 Kubota Corporation
• 11.7 Hexagon Agriculture
• 11.8 AG Leader Technology
• 11.9 Raven Industries
• 11.10 Digi International
• 11.11 Telit Communications
• 11.12 Orange Business Services
• 11.13 Vodafone Group Plc
• 11.14 Cisco Systems Inc.
• 11.15 AT&T Inc.
• 11.16 Siemens AG