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デジタルツイン穀物サイロの世界市場:将来予測 (2032年まで) - コンポーネント別・展開方式別・技術別・用途別・エンドユーザー別・地域別の分析

Digital Twin Grain Silo Market Forecasts to 2032 - Global Analysis By Component (Software, Hardware and Services), Deployment, Technology, Application, End User and By Geography


出版日
ページ情報
英文 200+ Pages
納期
2~3営業日
カスタマイズ可能
価格
価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=149.25円
デジタルツイン穀物サイロの世界市場:将来予測 (2032年まで) - コンポーネント別・展開方式別・技術別・用途別・エンドユーザー別・地域別の分析
出版日: 2025年09月07日
発行: Stratistics Market Research Consulting
ページ情報: 英文 200+ Pages
納期: 2~3営業日
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  • 全表示
  • 概要
  • 図表
  • 目次
概要

Stratistics MRCによると、世界のデジタルツイン穀物サイロ市場は2025年に13億米ドルを占め、予測期間中のCAGRは20.7%で成長し、2032年には51億米ドルに達する見込みです。

デジタルツイン穀物サイロは、リアルタイムのデータと高度なシミュレーションを使用して作成された、物理的な穀物貯蔵サイロの正確な仮想レプリカです。このデジタル・カウンターパートは、サイロの構造条件、温度や湿度などの環境要因、穀物の品質指標を反映し、継続的なモニタリングと予測分析を可能にします。センサーとIoT技術を統合することで、デジタルツインは貯蔵管理を最適化し、腐敗や構造的欠陥などの潜在的な問題を早期に検出し、運用効率を向上させるのに役立ちます。伝統的なサイロ管理に根ざしながら、最新のデジタルイノベーションによって高度化されたデジタルツインは、穀物の品質を守り、貯蔵期間を最大限に延ばすための先進的なアプローチを提供します。

スマート農業の台頭

スマート農業の台頭は、IoT、AI、クラウドコンピューティングなどの先進技術を穀物貯蔵システムに統合することで、デジタルツイン穀物サイロ市場の成長を促進しています。これらのデジタル・レプリカは、リアルタイムのモニタリング、予知保全、プロセスの最適化を可能にし、ポストハーベスト・ロスを大幅に削減し、運用効率を高めます。精密農業が勢いを増すなか、デジタル・ツインはデータ主導の洞察力で農家を支援し、持続可能な慣行と強靭なサプライチェーンを育成します。この相乗効果により、穀物管理はよりスマートで応答性の高いエコシステムへと変化しています。

高額な初期投資

デジタルツイン穀物サイロ市場は、初期投資の高さが中小規模の農業関連企業の採用を阻み、成長を妨げる要因となっています。高度なセンサー、ソフトウェアの統合、インフラのアップグレードに伴う多額のコストが、特に新興経済国において財政的な障壁となっています。これは市場への浸透を制限し、技術革新の普及を遅らせ、ROIのタイムラインを長引かせ、最終的に穀物貯蔵・管理システムにおけるデジタルツインテクノロジーの拡張性と広範な導入を妨げます。

業務効率化の需要

デジタルツイン穀物サイロ市場の成長を促進する重要な触媒は、運用効率化に対する需要の高まりです。リアルタイムのモニタリング、予知保全、最適な資源配分を可能にすることで、デジタルツインは無駄やダウンタイムを大幅に削減します。この効率化は、作物収量の増加、在庫管理の改善、食糧安全保障の強化につながります。アグリテックの進化に伴い、利害関係者はサイロの運用を合理化し、コストを最小化し、持続可能な目標を達成するために、ますますこれらのソリューションを採用するようになっており、デジタルツインを現代の農業インフラにおける不可欠なツールとして位置づけています。

統合の課題

統合の課題は、レガシーシステム、IoTデバイス、高度な分析プラットフォーム間のシームレスな接続を複雑にすることで、デジタルツイン穀物サイロ市場の成長を大きく妨げています。こうした技術的障壁は、導入を遅らせ、運用コストを増加させ、拡張性を低下させます。一貫性のないデータ形式や相互運用性の欠如も、リアルタイムのモニタリングや予測機能を損ない、デジタルツインの価値提案を台無しにします。その結果、特に資源に制約のある農業セクターでは、導入率が鈍化します。

COVID-19の影響

COVID-19パンデミックは当初、サプライチェーンを混乱させ、インフラプロジェクトを遅らせ、穀物貯蔵におけるデジタルツインテクノロジーの採用を遅らせました。しかし、この危機は回復力のある遠隔監視ソリューションの必要性を浮き彫りにし、スマートサイロへの関心を加速させました。物理的な検査が課題となる中、デジタルツインによってリアルタイムの監視と予知保全が可能になりました。自動化とデータ主導型管理へのこのシフトは、オペレーションの安定化に役立ち、農業における長期的なデジタル変革への道を開きました。

予測期間中、食品加工セグメントが最大となる見込み

食品加工セグメントは、精度、効率、リアルタイムモニタリングの需要により、予測期間中最大の市場シェアを占めると予想されます。加工業者が穀物の品質、トレーサビリティ、在庫管理の強化を求める中、デジタルツインテクノロジーは予測分析と自動サイロ管理を提供します。この統合により、廃棄物が削減され、保管条件が最適化され、安全基準の遵守が保証されます。スマート・インフラストラクチャの推進により、デジタルツインサイロは現代の農業技術エコシステムにおける重要な資産として位置付けられ、導入が加速しています。

予測期間中、品質管理分野のCAGRが最も高くなる見込み

予測期間中、穀物貯蔵の安全性と一貫性から、品質管理分野が最も高い成長率を示すと予測されます。汚染、腐敗、規制遵守に対する懸念が高まる中、デジタルツインソリューションはリアルタイムモニタリング、予知保全、自動アラートを可能にします。これらの機能は穀物の完全性を高め、ロスを減らし、データ主導の意思決定をサポートします。グローバルサプライチェーンにおいて品質ベンチマークが強化される中、透明性と管理に重点を置くこのセグメントはデジタルツインの採用を加速し、弾力的で効率的なサイロオペレーションにおける役割を強化します。

最大のシェアを占める地域

予測期間中、農業の効率化と持続可能性の推進により、アジア太平洋地域が最大の市場シェアを占めると予想されます。正確な仮想レプリカを作成することで、農家やオペレーターはかつてないほど穀物貯蔵を監視、予測、最適化できるようになります。この革新的な技術は、腐敗を減らし、在庫管理を強化し、運用コストを削減します。伝統的な農業の価値観に根ざしながら、最先端のデジタル技術の進歩によって推進されるこのテクノロジーは、揺るぎない勢いと将来性をもって、地域の食糧安全保障と現代農業の回復力を促進します。

CAGRが最も高い地域:

予測期間中、北米地域は最も高いCAGRを示すと予測されます。これは、この地域の根強い農業遺産と急速な技術導入によるものです。穀物サイロの精密な仮想レプリカを作成することで、農家やオペレーターはリアルタイムで状況を監視し、貯蔵を最適化し、損失を減らし、業務効率を高めることができます。伝統とイノベーションの融合は、サプライ・チェーンを強化し、食糧安全保障を確保します。市場がデジタルトランスフォーメーションを受け入れることで、持続可能性と回復力が促進され、昔ながらの農業の知恵と最先端のデジタル技術が融合した未来が築かれます。

無料のカスタマイズサービス

当レポートをご購読のお客様には、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)
  • 地域区分
    • 顧客の関心に応じた主要国の市場推計・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、戦略的提携に基づく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 序論

  • 概要
  • ステークホルダー
  • 分析範囲
  • 分析手法
    • データマイニング
    • データ分析
    • データ検証
    • 分析アプローチ
  • 分析資料
    • 一次調査資料
    • 二次調査情報源
    • 前提条件

第3章 市場動向の分析

  • 促進要因
  • 抑制要因
  • 市場機会
  • 脅威
  • 技術分析
  • 用途分析
  • エンドユーザー分析
  • 新興市場
  • 新型コロナウイルス感染症 (COVID-19) の影響

第4章 ポーターのファイブフォース分析

  • サプライヤーの交渉力
  • バイヤーの交渉力
  • 代替製品の脅威
  • 新規参入企業の脅威
  • 企業間競争

第5章 世界のデジタルツイン穀物サイロ市場:コンポーネント別

  • ソフトウェア
  • ハードウェア
  • サービス

第6章 世界のデジタルツイン穀物サイロ市場:展開方式別

  • オンプレミス
  • クラウドベース

第7章 世界のデジタルツイン穀物サイロ市場:技術別

  • IoT
  • AI・機械学習
  • クラウドコンピューティング
  • ビッグデータ・分析

第8章 世界のデジタルツイン穀物サイロ市場:用途別

  • 監視・整備
  • 在庫管理
  • 品質管理
  • 予測分析
  • その他の用途

第9章 世界のデジタルツイン穀物サイロ市場:エンドユーザー別

  • 農業
  • 食品加工
  • 保管・物流
  • その他のエンドユーザー

第10章 世界のデジタルツイン穀物サイロ市場:地域別

  • 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
    • その他アジア太平洋
  • 南米
    • アルゼンチン
    • ブラジル
    • チリ
    • その他南米
  • 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
    • その他中東・アフリカ

第11章 主な動向

  • 契約、事業提携・協力、合弁事業
  • 企業合併・買収 (M&A)
  • 新製品の発売
  • 事業拡張
  • その他の主要戦略

第12章 企業プロファイリング

  • Siemens AG
  • General Electric(GE)
  • Honeywell International Inc.
  • ABB Ltd
  • Schneider Electric SE
  • IBM Corporation
  • Dassault Systemes
  • PTC Inc.
  • Rockwell Automation, Inc.
  • Ansys, Inc.
  • Bentley Systems, Inc.
  • Aspen Technology, Inc.
  • Yokogawa Electric Corporation
  • Bosch Software Innovations GmbH
  • AVEVA Group plc
  • Emerson Electric Co.
  • Mitsubishi Electric Corporation
  • Oracle Corporation
  • Hitachi, Ltd.
  • Hexagon AB
図表

List of Tables

  • Table 1 Global Digital Twin Grain Silo Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global Digital Twin Grain Silo Market Outlook, By Component (2024-2032) ($MN)
  • Table 3 Global Digital Twin Grain Silo Market Outlook, By Software (2024-2032) ($MN)
  • Table 4 Global Digital Twin Grain Silo Market Outlook, By Hardware (2024-2032) ($MN)
  • Table 5 Global Digital Twin Grain Silo Market Outlook, By Services (2024-2032) ($MN)
  • Table 6 Global Digital Twin Grain Silo Market Outlook, By Deployment (2024-2032) ($MN)
  • Table 7 Global Digital Twin Grain Silo Market Outlook, By On-Premises (2024-2032) ($MN)
  • Table 8 Global Digital Twin Grain Silo Market Outlook, By Cloud-Based (2024-2032) ($MN)
  • Table 9 Global Digital Twin Grain Silo Market Outlook, By Technology (2024-2032) ($MN)
  • Table 10 Global Digital Twin Grain Silo Market Outlook, By IoT (2024-2032) ($MN)
  • Table 11 Global Digital Twin Grain Silo Market Outlook, By AI & Machine Learning (2024-2032) ($MN)
  • Table 12 Global Digital Twin Grain Silo Market Outlook, By Cloud Computing (2024-2032) ($MN)
  • Table 13 Global Digital Twin Grain Silo Market Outlook, By Big Data & Analytics (2024-2032) ($MN)
  • Table 14 Global Digital Twin Grain Silo Market Outlook, By Application (2024-2032) ($MN)
  • Table 15 Global Digital Twin Grain Silo Market Outlook, By Monitoring & Maintenance (2024-2032) ($MN)
  • Table 16 Global Digital Twin Grain Silo Market Outlook, By Inventory Management (2024-2032) ($MN)
  • Table 17 Global Digital Twin Grain Silo Market Outlook, By Quality Control (2024-2032) ($MN)
  • Table 18 Global Digital Twin Grain Silo Market Outlook, By Predictive Analysis (2024-2032) ($MN)
  • Table 19 Global Digital Twin Grain Silo Market Outlook, By Other Applications (2024-2032) ($MN)
  • Table 20 Global Digital Twin Grain Silo Market Outlook, By End User (2024-2032) ($MN)
  • Table 21 Global Digital Twin Grain Silo Market Outlook, By Agriculture & Farming (2024-2032) ($MN)
  • Table 22 Global Digital Twin Grain Silo Market Outlook, By Food Processing (2024-2032) ($MN)
  • Table 23 Global Digital Twin Grain Silo Market Outlook, By Storage & Logistics (2024-2032) ($MN)
  • Table 24 Global Digital Twin Grain Silo Market Outlook, By Other End Users (2024-2032) ($MN)
  • Table 25 North America Digital Twin Grain Silo Market Outlook, By Country (2024-2032) ($MN)
  • Table 26 North America Digital Twin Grain Silo Market Outlook, By Component (2024-2032) ($MN)
  • Table 27 North America Digital Twin Grain Silo Market Outlook, By Software (2024-2032) ($MN)
  • Table 28 North America Digital Twin Grain Silo Market Outlook, By Hardware (2024-2032) ($MN)
  • Table 29 North America Digital Twin Grain Silo Market Outlook, By Services (2024-2032) ($MN)
  • Table 30 North America Digital Twin Grain Silo Market Outlook, By Deployment (2024-2032) ($MN)
  • Table 31 North America Digital Twin Grain Silo Market Outlook, By On-Premises (2024-2032) ($MN)
  • Table 32 North America Digital Twin Grain Silo Market Outlook, By Cloud-Based (2024-2032) ($MN)
  • Table 33 North America Digital Twin Grain Silo Market Outlook, By Technology (2024-2032) ($MN)
  • Table 34 North America Digital Twin Grain Silo Market Outlook, By IoT (2024-2032) ($MN)
  • Table 35 North America Digital Twin Grain Silo Market Outlook, By AI & Machine Learning (2024-2032) ($MN)
  • Table 36 North America Digital Twin Grain Silo Market Outlook, By Cloud Computing (2024-2032) ($MN)
  • Table 37 North America Digital Twin Grain Silo Market Outlook, By Big Data & Analytics (2024-2032) ($MN)
  • Table 38 North America Digital Twin Grain Silo Market Outlook, By Application (2024-2032) ($MN)
  • Table 39 North America Digital Twin Grain Silo Market Outlook, By Monitoring & Maintenance (2024-2032) ($MN)
  • Table 40 North America Digital Twin Grain Silo Market Outlook, By Inventory Management (2024-2032) ($MN)
  • Table 41 North America Digital Twin Grain Silo Market Outlook, By Quality Control (2024-2032) ($MN)
  • Table 42 North America Digital Twin Grain Silo Market Outlook, By Predictive Analysis (2024-2032) ($MN)
  • Table 43 North America Digital Twin Grain Silo Market Outlook, By Other Applications (2024-2032) ($MN)
  • Table 44 North America Digital Twin Grain Silo Market Outlook, By End User (2024-2032) ($MN)
  • Table 45 North America Digital Twin Grain Silo Market Outlook, By Agriculture & Farming (2024-2032) ($MN)
  • Table 46 North America Digital Twin Grain Silo Market Outlook, By Food Processing (2024-2032) ($MN)
  • Table 47 North America Digital Twin Grain Silo Market Outlook, By Storage & Logistics (2024-2032) ($MN)
  • Table 48 North America Digital Twin Grain Silo Market Outlook, By Other End Users (2024-2032) ($MN)
  • Table 49 Europe Digital Twin Grain Silo Market Outlook, By Country (2024-2032) ($MN)
  • Table 50 Europe Digital Twin Grain Silo Market Outlook, By Component (2024-2032) ($MN)
  • Table 51 Europe Digital Twin Grain Silo Market Outlook, By Software (2024-2032) ($MN)
  • Table 52 Europe Digital Twin Grain Silo Market Outlook, By Hardware (2024-2032) ($MN)
  • Table 53 Europe Digital Twin Grain Silo Market Outlook, By Services (2024-2032) ($MN)
  • Table 54 Europe Digital Twin Grain Silo Market Outlook, By Deployment (2024-2032) ($MN)
  • Table 55 Europe Digital Twin Grain Silo Market Outlook, By On-Premises (2024-2032) ($MN)
  • Table 56 Europe Digital Twin Grain Silo Market Outlook, By Cloud-Based (2024-2032) ($MN)
  • Table 57 Europe Digital Twin Grain Silo Market Outlook, By Technology (2024-2032) ($MN)
  • Table 58 Europe Digital Twin Grain Silo Market Outlook, By IoT (2024-2032) ($MN)
  • Table 59 Europe Digital Twin Grain Silo Market Outlook, By AI & Machine Learning (2024-2032) ($MN)
  • Table 60 Europe Digital Twin Grain Silo Market Outlook, By Cloud Computing (2024-2032) ($MN)
  • Table 61 Europe Digital Twin Grain Silo Market Outlook, By Big Data & Analytics (2024-2032) ($MN)
  • Table 62 Europe Digital Twin Grain Silo Market Outlook, By Application (2024-2032) ($MN)
  • Table 63 Europe Digital Twin Grain Silo Market Outlook, By Monitoring & Maintenance (2024-2032) ($MN)
  • Table 64 Europe Digital Twin Grain Silo Market Outlook, By Inventory Management (2024-2032) ($MN)
  • Table 65 Europe Digital Twin Grain Silo Market Outlook, By Quality Control (2024-2032) ($MN)
  • Table 66 Europe Digital Twin Grain Silo Market Outlook, By Predictive Analysis (2024-2032) ($MN)
  • Table 67 Europe Digital Twin Grain Silo Market Outlook, By Other Applications (2024-2032) ($MN)
  • Table 68 Europe Digital Twin Grain Silo Market Outlook, By End User (2024-2032) ($MN)
  • Table 69 Europe Digital Twin Grain Silo Market Outlook, By Agriculture & Farming (2024-2032) ($MN)
  • Table 70 Europe Digital Twin Grain Silo Market Outlook, By Food Processing (2024-2032) ($MN)
  • Table 71 Europe Digital Twin Grain Silo Market Outlook, By Storage & Logistics (2024-2032) ($MN)
  • Table 72 Europe Digital Twin Grain Silo Market Outlook, By Other End Users (2024-2032) ($MN)
  • Table 73 Asia Pacific Digital Twin Grain Silo Market Outlook, By Country (2024-2032) ($MN)
  • Table 74 Asia Pacific Digital Twin Grain Silo Market Outlook, By Component (2024-2032) ($MN)
  • Table 75 Asia Pacific Digital Twin Grain Silo Market Outlook, By Software (2024-2032) ($MN)
  • Table 76 Asia Pacific Digital Twin Grain Silo Market Outlook, By Hardware (2024-2032) ($MN)
  • Table 77 Asia Pacific Digital Twin Grain Silo Market Outlook, By Services (2024-2032) ($MN)
  • Table 78 Asia Pacific Digital Twin Grain Silo Market Outlook, By Deployment (2024-2032) ($MN)
  • Table 79 Asia Pacific Digital Twin Grain Silo Market Outlook, By On-Premises (2024-2032) ($MN)
  • Table 80 Asia Pacific Digital Twin Grain Silo Market Outlook, By Cloud-Based (2024-2032) ($MN)
  • Table 81 Asia Pacific Digital Twin Grain Silo Market Outlook, By Technology (2024-2032) ($MN)
  • Table 82 Asia Pacific Digital Twin Grain Silo Market Outlook, By IoT (2024-2032) ($MN)
  • Table 83 Asia Pacific Digital Twin Grain Silo Market Outlook, By AI & Machine Learning (2024-2032) ($MN)
  • Table 84 Asia Pacific Digital Twin Grain Silo Market Outlook, By Cloud Computing (2024-2032) ($MN)
  • Table 85 Asia Pacific Digital Twin Grain Silo Market Outlook, By Big Data & Analytics (2024-2032) ($MN)
  • Table 86 Asia Pacific Digital Twin Grain Silo Market Outlook, By Application (2024-2032) ($MN)
  • Table 87 Asia Pacific Digital Twin Grain Silo Market Outlook, By Monitoring & Maintenance (2024-2032) ($MN)
  • Table 88 Asia Pacific Digital Twin Grain Silo Market Outlook, By Inventory Management (2024-2032) ($MN)
  • Table 89 Asia Pacific Digital Twin Grain Silo Market Outlook, By Quality Control (2024-2032) ($MN)
  • Table 90 Asia Pacific Digital Twin Grain Silo Market Outlook, By Predictive Analysis (2024-2032) ($MN)
  • Table 91 Asia Pacific Digital Twin Grain Silo Market Outlook, By Other Applications (2024-2032) ($MN)
  • Table 92 Asia Pacific Digital Twin Grain Silo Market Outlook, By End User (2024-2032) ($MN)
  • Table 93 Asia Pacific Digital Twin Grain Silo Market Outlook, By Agriculture & Farming (2024-2032) ($MN)
  • Table 94 Asia Pacific Digital Twin Grain Silo Market Outlook, By Food Processing (2024-2032) ($MN)
  • Table 95 Asia Pacific Digital Twin Grain Silo Market Outlook, By Storage & Logistics (2024-2032) ($MN)
  • Table 96 Asia Pacific Digital Twin Grain Silo Market Outlook, By Other End Users (2024-2032) ($MN)
  • Table 97 South America Digital Twin Grain Silo Market Outlook, By Country (2024-2032) ($MN)
  • Table 98 South America Digital Twin Grain Silo Market Outlook, By Component (2024-2032) ($MN)
  • Table 99 South America Digital Twin Grain Silo Market Outlook, By Software (2024-2032) ($MN)
  • Table 100 South America Digital Twin Grain Silo Market Outlook, By Hardware (2024-2032) ($MN)
  • Table 101 South America Digital Twin Grain Silo Market Outlook, By Services (2024-2032) ($MN)
  • Table 102 South America Digital Twin Grain Silo Market Outlook, By Deployment (2024-2032) ($MN)
  • Table 103 South America Digital Twin Grain Silo Market Outlook, By On-Premises (2024-2032) ($MN)
  • Table 104 South America Digital Twin Grain Silo Market Outlook, By Cloud-Based (2024-2032) ($MN)
  • Table 105 South America Digital Twin Grain Silo Market Outlook, By Technology (2024-2032) ($MN)
  • Table 106 South America Digital Twin Grain Silo Market Outlook, By IoT (2024-2032) ($MN)
  • Table 107 South America Digital Twin Grain Silo Market Outlook, By AI & Machine Learning (2024-2032) ($MN)
  • Table 108 South America Digital Twin Grain Silo Market Outlook, By Cloud Computing (2024-2032) ($MN)
  • Table 109 South America Digital Twin Grain Silo Market Outlook, By Big Data & Analytics (2024-2032) ($MN)
  • Table 110 South America Digital Twin Grain Silo Market Outlook, By Application (2024-2032) ($MN)
  • Table 111 South America Digital Twin Grain Silo Market Outlook, By Monitoring & Maintenance (2024-2032) ($MN)
  • Table 112 South America Digital Twin Grain Silo Market Outlook, By Inventory Management (2024-2032) ($MN)
  • Table 113 South America Digital Twin Grain Silo Market Outlook, By Quality Control (2024-2032) ($MN)
  • Table 114 South America Digital Twin Grain Silo Market Outlook, By Predictive Analysis (2024-2032) ($MN)
  • Table 115 South America Digital Twin Grain Silo Market Outlook, By Other Applications (2024-2032) ($MN)
  • Table 116 South America Digital Twin Grain Silo Market Outlook, By End User (2024-2032) ($MN)
  • Table 117 South America Digital Twin Grain Silo Market Outlook, By Agriculture & Farming (2024-2032) ($MN)
  • Table 118 South America Digital Twin Grain Silo Market Outlook, By Food Processing (2024-2032) ($MN)
  • Table 119 South America Digital Twin Grain Silo Market Outlook, By Storage & Logistics (2024-2032) ($MN)
  • Table 120 South America Digital Twin Grain Silo Market Outlook, By Other End Users (2024-2032) ($MN)
  • Table 121 Middle East & Africa Digital Twin Grain Silo Market Outlook, By Country (2024-2032) ($MN)
  • Table 122 Middle East & Africa Digital Twin Grain Silo Market Outlook, By Component (2024-2032) ($MN)
  • Table 123 Middle East & Africa Digital Twin Grain Silo Market Outlook, By Software (2024-2032) ($MN)
  • Table 124 Middle East & Africa Digital Twin Grain Silo Market Outlook, By Hardware (2024-2032) ($MN)
  • Table 125 Middle East & Africa Digital Twin Grain Silo Market Outlook, By Services (2024-2032) ($MN)
  • Table 126 Middle East & Africa Digital Twin Grain Silo Market Outlook, By Deployment (2024-2032) ($MN)
  • Table 127 Middle East & Africa Digital Twin Grain Silo Market Outlook, By On-Premises (2024-2032) ($MN)
  • Table 128 Middle East & Africa Digital Twin Grain Silo Market Outlook, By Cloud-Based (2024-2032) ($MN)
  • Table 129 Middle East & Africa Digital Twin Grain Silo Market Outlook, By Technology (2024-2032) ($MN)
  • Table 130 Middle East & Africa Digital Twin Grain Silo Market Outlook, By IoT (2024-2032) ($MN)
  • Table 131 Middle East & Africa Digital Twin Grain Silo Market Outlook, By AI & Machine Learning (2024-2032) ($MN)
  • Table 132 Middle East & Africa Digital Twin Grain Silo Market Outlook, By Cloud Computing (2024-2032) ($MN)
  • Table 133 Middle East & Africa Digital Twin Grain Silo Market Outlook, By Big Data & Analytics (2024-2032) ($MN)
  • Table 134 Middle East & Africa Digital Twin Grain Silo Market Outlook, By Application (2024-2032) ($MN)
  • Table 135 Middle East & Africa Digital Twin Grain Silo Market Outlook, By Monitoring & Maintenance (2024-2032) ($MN)
  • Table 136 Middle East & Africa Digital Twin Grain Silo Market Outlook, By Inventory Management (2024-2032) ($MN)
  • Table 137 Middle East & Africa Digital Twin Grain Silo Market Outlook, By Quality Control (2024-2032) ($MN)
  • Table 138 Middle East & Africa Digital Twin Grain Silo Market Outlook, By Predictive Analysis (2024-2032) ($MN)
  • Table 139 Middle East & Africa Digital Twin Grain Silo Market Outlook, By Other Applications (2024-2032) ($MN)
  • Table 140 Middle East & Africa Digital Twin Grain Silo Market Outlook, By End User (2024-2032) ($MN)
  • Table 141 Middle East & Africa Digital Twin Grain Silo Market Outlook, By Agriculture & Farming (2024-2032) ($MN)
  • Table 142 Middle East & Africa Digital Twin Grain Silo Market Outlook, By Food Processing (2024-2032) ($MN)
  • Table 143 Middle East & Africa Digital Twin Grain Silo Market Outlook, By Storage & Logistics (2024-2032) ($MN)
  • Table 144 Middle East & Africa Digital Twin Grain Silo Market Outlook, By Other End Users (2024-2032) ($MN)
目次
Product Code: SMRC30525

According to Stratistics MRC, the Global Digital Twin Grain Silo Market is accounted for $1.3 billion in 2025 and is expected to reach $5.1 billion by 2032 growing at a CAGR of 20.7% during the forecast period. A Digital Twin Grain Silo is a precise virtual replica of a physical grain storage silo, created using real-time data and advanced simulations. This digital counterpart mirrors the silo's structural conditions, environmental factors like temperature and humidity, and grain quality metrics, enabling continuous monitoring and predictive analysis. By integrating sensors and IoT technology, the digital twin helps optimize storage management, detect potential issues such as spoilage or structural faults early, and improve operational efficiency. Rooted in traditional silo management but elevated through modern digital innovation, it offers a forward-thinking approach to safeguarding grain quality and maximizing storage longevity.

Market Dynamics:

Driver:

Rise of Smart Agriculture

The rise of smart agriculture is catalyzing the growth of the Digital Twin Grain Silo market by integrating advanced technologies like IoT, AI, and cloud computing into grain storage systems. These digital replicas enable real-time monitoring, predictive maintenance, and process optimization, significantly reducing post-harvest losses and enhancing operational efficiency. As precision farming gains momentum, digital twins empower farmers with data-driven insights, fostering sustainable practices and resilient supply chains. This synergy is transforming grain management into a smarter, more responsive ecosystem.

Restraint:

High Initial Investment

High initial investment significantly hampers the growth of the digital twin grain silo market by deterring small and mid-sized agribusinesses from adoption. The substantial costs associated with advanced sensors, software integration, and infrastructure upgrades create financial barriers, especially in emerging economies. This limits market penetration, slows innovation diffusion, and prolongs ROI timelines, ultimately stalling scalability and widespread implementation of digital twin technologies in grain storage and management systems.

Opportunity:

Demand for Operational Efficiency

Rising demand for operational efficiency is a key catalyst driving growth in the digital twin grain silo market. By enabling real-time monitoring, predictive maintenance, and optimized resource allocation, digital twins significantly reduce waste and downtime. This efficiency translates into higher crop yields, better inventory control, and enhanced food security. As agritech evolves, stakeholders increasingly adopt these solutions to streamline silo operations, minimize costs, and meet sustainability goals-positioning digital twins as essential tools in modern agricultural infrastructure.

Threat:

Integration Challenges

Integration challenges significantly hinder the growth of the Digital Twin Grain Silo market by complicating the seamless connection between legacy systems, IoT devices, and advanced analytics platforms. These technical barriers delay deployment, increase operational costs, and reduce scalability. Inconsistent data formats and lack of interoperability also impair real-time monitoring and predictive capabilities, undermining the value proposition of digital twins. As a result, adoption rates slow, especially in resource-constrained agricultural sectors.

Covid-19 Impact

The COVID-19 pandemic initially disrupted supply chains and delayed infrastructure projects, slowing adoption of digital twin technologies in grain storage. However, the crisis underscored the need for resilient, remote-monitoring solutions, accelerating interest in smart silos. As physical inspections became challenging, digital twins enabled real-time oversight and predictive maintenance. This shift toward automation and data-driven management helped stabilize operations, paving the way for long-term digital transformation in agriculture.

The food processing segment is expected to be the largest during the forecast period

The food processing segment is expected to account for the largest market share during the forecast period, due to demand for precision, efficiency, and real-time monitoring. As processors seek enhanced grain quality, traceability, and inventory control, digital twin technologies offer predictive analytics and automated silo management. This integration reduces waste, optimizes storage conditions, and ensures compliance with safety standards. The segment's push for smart infrastructure accelerates adoption, positioning digital twin silos as vital assets in modern agri-tech ecosystems.

The quality control segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the quality control segment is predicted to witness the highest growth rate, due to safety, and consistency in grain storage. With rising concerns over contamination, spoilage, and regulatory compliance, digital twin solutions enable real-time monitoring, predictive maintenance, and automated alerts. These capabilities enhance grain integrity, reduce losses, and support data-driven decision-making. As quality benchmarks tighten across global supply chains, the segment's focus on transparency and control accelerates digital twin adoption, reinforcing its role in resilient and efficient silo operations.

Region with largest share:

During the forecast period, the Asia Pacific region is expected to hold the largest market share due to driving agricultural efficiency and sustainability. By creating precise virtual replicas, it empowers farmers and operators to monitor, predict, and optimize grain storage like never before. This transformative technology reduces spoilage, enhances inventory management, and cuts operational costs. Rooted in traditional agricultural values yet propelled by cutting-edge digital advances, it fuels regional food security and modern farming resilience with unwavering momentum and promise.

Region with highest CAGR:

Over the forecast period, the North America region is anticipated to exhibit the highest CAGR, owing to region's deep-rooted agricultural heritage and rapid technological adoption. By creating precise virtual replicas of grain silos, farmers and operators can monitor conditions in real-time, optimize storage, reduce losses, and enhance operational efficiency. This fusion of tradition with innovation fortifies supply chains and ensures food security. As the market embraces digital transformation, it propels sustainability and resilience, forging a future where old-world farming wisdom meets cutting-edge digital mastery.

Key players in the market

Some of the key players profiled in the Digital Twin Grain Silo Market include Siemens AG, General Electric (GE) , Honeywell International Inc., ABB Ltd, Schneider Electric SE , IBM Corporation, Dassault Systemes, PTC Inc., Rockwell Automation, Inc., Ansys, Inc., Bentley Systems, Inc., Aspen Technology, Inc., Yokogawa Electric Corporation, Bosch Software Innovations GmbH, AVEVA Group plc, Emerson Electric Co., Mitsubishi Electric Corporation, Oracle Corporation, Hitachi, Ltd. and Hexagon AB.

Key Developments:

In June 2025, IE School of Science & Technology and IBM entered a strategic partnership aimed at enhancing education in quantum computing, artificial intelligence, and other advanced technologies. This collaboration introduces a flexible framework that integrates IBM's cutting-edge platforms and expert insights into the curriculum, benefiting both undergraduate and graduate students.

In January 2025, Telefonica Tech and IBM have forged a collaboration to develop quantum-safe technology solutions. This partnership aims to address the emerging risks posed by future quantum computers, which have the potential to compromise current cryptographic systems.

Components Covered:

  • Software
  • Hardware
  • Services

Deployments Covered:

  • On-Premises
  • Cloud-Based

Technologies Covered:

  • IoT
  • AI & Machine Learning
  • Cloud Computing
  • Big Data & Analytics

Applications Covered:

  • Monitoring & Maintenance
  • Inventory Management
  • Quality Control
  • Predictive Analysis
  • Other Applications

End Users Covered:

  • Agriculture & Farming
  • Food Processing
  • Storage & Logistics
  • Other End Users

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 2024, 2025, 2026, 2028, and 2032
  • 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 End User Analysis
  • 3.9 Emerging Markets
  • 3.10 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 Digital Twin Grain Silo Market, By Component

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

6 Global Digital Twin Grain Silo Market, By Deployment

  • 6.1 Introduction
  • 6.2 On-Premises
  • 6.3 Cloud-Based

7 Global Digital Twin Grain Silo Market, By Technology

  • 7.1 Introduction
  • 7.2 IoT
  • 7.3 AI & Machine Learning
  • 7.4 Cloud Computing
  • 7.5 Big Data & Analytics

8 Global Digital Twin Grain Silo Market, By Application

  • 8.1 Introduction
  • 8.2 Monitoring & Maintenance
  • 8.3 Inventory Management
  • 8.4 Quality Control
  • 8.5 Predictive Analysis
  • 8.6 Other Applications

9 Global Digital Twin Grain Silo Market, By End User

  • 9.1 Introduction
  • 9.2 Agriculture & Farming
  • 9.3 Food Processing
  • 9.4 Storage & Logistics
  • 9.5 Other End Users

10 Global Digital Twin Grain Silo Market, By Geography

  • 10.1 Introduction
  • 10.2 North America
    • 10.2.1 US
    • 10.2.2 Canada
    • 10.2.3 Mexico
  • 10.3 Europe
    • 10.3.1 Germany
    • 10.3.2 UK
    • 10.3.3 Italy
    • 10.3.4 France
    • 10.3.5 Spain
    • 10.3.6 Rest of Europe
  • 10.4 Asia Pacific
    • 10.4.1 Japan
    • 10.4.2 China
    • 10.4.3 India
    • 10.4.4 Australia
    • 10.4.5 New Zealand
    • 10.4.6 South Korea
    • 10.4.7 Rest of Asia Pacific
  • 10.5 South America
    • 10.5.1 Argentina
    • 10.5.2 Brazil
    • 10.5.3 Chile
    • 10.5.4 Rest of South America
  • 10.6 Middle East & Africa
    • 10.6.1 Saudi Arabia
    • 10.6.2 UAE
    • 10.6.3 Qatar
    • 10.6.4 South Africa
    • 10.6.5 Rest of Middle East & Africa

11 Key Developments

  • 11.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 11.2 Acquisitions & Mergers
  • 11.3 New Product Launch
  • 11.4 Expansions
  • 11.5 Other Key Strategies

12 Company Profiling

  • 12.1 Siemens AG
  • 12.2 General Electric (GE)
  • 12.3 Honeywell International Inc.
  • 12.4 ABB Ltd
  • 12.5 Schneider Electric SE
  • 12.6 IBM Corporation
  • 12.7 Dassault Systemes
  • 12.8 PTC Inc.
  • 12.9 Rockwell Automation, Inc.
  • 12.10 Ansys, Inc.
  • 12.11 Bentley Systems, Inc.
  • 12.12 Aspen Technology, Inc.
  • 12.13 Yokogawa Electric Corporation
  • 12.14 Bosch Software Innovations GmbH
  • 12.15 AVEVA Group plc
  • 12.16 Emerson Electric Co.
  • 12.17 Mitsubishi Electric Corporation
  • 12.18 Oracle Corporation
  • 12.19 Hitachi, Ltd.
  • 12.20 Hexagon AB