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物流におけるデジタルツインの世界市場の評価、技術別、用途別、コンポーネント別、展開モデル別、エンドユーザー別、地域別、機会、予測、2018年～2032年

Global Digital Twins in Logistics Market Assessment, By Technology, By Application, By Component, By Deployment Model, By End-user, By Region, Opportunities and Forecast, 2018-2032F

出版日
ページ情報
英文 240 Pages
納期
3～5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=145.58円
物流におけるデジタルツインの世界市場の評価、技術別、用途別、コンポーネント別、展開モデル別、エンドユーザー別、地域別、機会、予測、2018年～2032年
出版日: 2025年06月27日
発行: Markets & Data
ページ情報: 英文 240 Pages
納期: 3～5営業日
GIIご利用のメリット
  • 全表示
  • 概要
  • 図表
  • 目次
概要

物流におけるデジタルツインの世界市場は、物流ネットワーク全体の可視化、自動化、シナリオシミュレーションのニーズの増加により、予測期間の2025年から2032年のCAGRは12.13％となり、2024年の31億4,000万米ドルから2032F年には78億5,000万米ドルに成長すると予測されています。ルートの最適化から予知保全まで、倉庫のデジタル化から資産レベルのトレーサビリティまで、デジタルツインはすべての物流レイヤーに組み込まれています。

さらに、物流はもはやトラックやターミナル、中継地点のことではなく、バーチャルなレプリカのことを指すようになってきています。デジタルツインは産業界の流行語から物流の注目すべき変化へと移行し、企業は物理的なサプライチェーンプロセスをリアルタイムでミラーリングできるようになりました。その結果、データ主導の意思決定、予測精度、そして従来硬直的であったセクターにおける新たなレベルの俊敏性がもたらされます。

政府や港湾当局も参入し、予測期間における世界市場の成長を牽引しています。例えば、ロッテルダム港湾局は2023年11月、4万個以上のセンサーからのデータとIBMとの提携により開発された予測AIツールを使用して、ターミナル全体のリアルタイム船舶交通シミュレーションと貨物管理のための第2世代デジタルツインプラットフォームを発表しました。

目次

第1章 プロジェクトの範囲と定義

第2章 調査手法

第3章 米国の関税の影響

第4章 エグゼクティブサマリー

第5章 顧客の声

  • データ統合機能
  • 拡張性と柔軟性
  • 実装とサポート
  • ROIのコスト

第6章 物流におけるデジタルツインの世界市場の展望、2018年～2032年

  • 市場規模分析と予測
    • 金額別
  • 市場シェア分析と予測
    • 技術別
      • IoTベースのデジタルツイン
      • クラウドベースのデジタルツイン
      • オンプレミスのデジタルツイン
      • 人工知能統合デジタルツイン
    • 用途別
      • ルート最適化
      • 倉庫・在庫管理
      • 予知保全
      • 資産追跡
    • コンポーネント別
      • ソフトウェア
      • サービス
    • 展開モデル別
      • クラウドベース
      • オンプレミス
    • エンドユーザー別
      • サードパーティ物流プロバイダー
      • 貨物運送業者
      • 倉庫
      • eコマース
    • 地域別
      • 北米
      • 欧州
      • アジア太平洋
      • 南米
      • 中東・アフリカ
    • 企業別市場シェア分析（上位5社およびその他-金額別、2024年）
  • 市場マップ分析、2024年
    • 技術別
    • 用途別
    • コンポーネント別
    • 展開モデル別
    • エンドユーザー別
    • 地域別

第7章 北米の物流におけるデジタルツイン市場の展望、2018年～2032年

  • 市場規模分析と予測
    • 金額別
  • 市場シェア分析と予測
    • 技術別
      • IoTベースのデジタルツイン
      • クラウドベースのデジタルツイン
      • オンプレミスのデジタルツイン
      • 人工知能統合デジタルツイン
    • 用途別
      • ルート最適化
      • 倉庫・在庫管理
      • 予知保全
      • 資産追跡
    • コンポーネント別
      • ソフトウェア
      • サービス
    • 展開モデル別
      • クラウドベース
      • オンプレミス
    • エンドユーザー別
      • サードパーティ物流プロバイダー
      • 貨物運送業者
      • 倉庫
      • eコマース
    • 国別シェア
      • 米国
      • カナダ
      • メキシコ
  • 国別市場評価
    • 米国の物流におけるデジタルツイン市場の展望、2018年～2032年*
      • 市場規模分析と予測
      • 市場シェア分析と予測
    • カナダ
    • メキシコ

すべてのセグメントは、対象となるすべての地域と国に提供されます。

第8章 欧州の物流におけるデジタルツイン市場の展望、2018年～2032年

  • ドイツ
  • フランス
  • イタリア
  • 英国
  • ロシア
  • オランダ
  • スペイン
  • トルコ
  • ポーランド

第9章 アジア太平洋の物流におけるデジタルツイン市場の展望、2018年～2032年

  • インド
  • 中国
  • 日本
  • オーストラリア
  • ベトナム
  • 韓国
  • インドネシア
  • フィリピン

第10章 南米の物流におけるデジタルツイン市場の展望、2018年～2032年

  • ブラジル
  • アルゼンチン

第11章 中東・アフリカの物流におけるデジタルツイン市場の展望、2018年～2032年

  • サウジアラビア
  • アラブ首長国連邦
  • 南アフリカ

第12章 需要供給分析

第13章 バリューチェーン分析

第14章 ポーターのファイブフォース分析

第15章 PESTLE分析

第16章 市場力学

  • 市場促進要因
  • 市場の課題

第17章 消費者購買行動分析

第18章 市場動向と発展

第19章 政策と規制状況

第20章 ケーススタディ

第21章 競合情勢

  • 市場リーダー上位5社の競合マトリックス
  • 上位5プ社のSWOT分析
  • 市場上位10の主要企業の情勢
    • Microsoft Corporation
      • 会社概要
      • 主要経営陣
      • 製品とサービス
      • 財務状況（報告通り）
      • 主要市場への注力と地理的プレゼンス
      • 最近の動向/コラボレーション/パートナーシップ/合併と買収
    • Oracle Corporation
    • SAP SE
    • International Business Machines Corporation（IBM）
    • Siemens Industry Software Inc.
    • AVEVA Group Limited
    • Amazon Web Services, Inc.
    • Blue Yonder Group, Inc.
    • Bentley Systems Incorporated
    • Kinaxis Inc.

上記の企業は市場シェアに応じて注文を保留するものではなく、調査作業中に入手可能な情報に応じて変更される可能性があります。

第22章 戦略的提言

第23章 調査会社について・免責事項

図表

List of Tables

  • Table 1. Competition Matrix of Top 5 Market Leaders
  • Table 2. Mergers & Acquisitions/ Joint Ventures (If Applicable)
  • Table 3. About Us - Regions and Countries Where We Have Executed Client Projects

List of Figures

  • Figure 1. Global Digital Twins in Logistics Market, By Value, In USD Billion, 2018-2032F
  • Figure 2. Global Digital Twins in Logistics Market Share (%), By Technology, 2018-2032F
  • Figure 3. Global Digital Twins in Logistics Market Share (%), By Application, 2018-2032F
  • Figure 4. Global Digital Twins in Logistics Market Share (%), By Component, 2018-2032F
  • Figure 5. Global Digital Twins in Logistics Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 6. Global Digital Twins in Logistics Market Share (%), By End-user, 2018-2032F
  • Figure 7. Global Digital Twins in Logistics Market Share (%), By Region, 2018-2032F
  • Figure 8. North America Digital Twins in Logistics Market, By Value, In USD Billion, 2018-2032F
  • Figure 9. North America Digital Twins in Logistics Market Share (%), By Technology, 2018-2032F
  • Figure 10. North America Digital Twins in Logistics Market Share (%), By Application, 2018-2032F
  • Figure 11. North America Digital Twins in Logistics Market Share (%), By Component, 2018-2032F
  • Figure 12. North America Digital Twins in Logistics Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 13. North America Digital Twins in Logistics Market Share (%), By End-user, 2018-2032F
  • Figure 14. North America Digital Twins in Logistics Market Share (%), By Country, 2018-2032F
  • Figure 15. United States Digital Twins in Logistics Market, By Value, In USD Billion, 2018-2032F
  • Figure 16. United States Digital Twins in Logistics Market Share (%), By Technology, 2018-2032F
  • Figure 17. United States Digital Twins in Logistics Market Share (%), By Application, 2018-2032F
  • Figure 18. United States Digital Twins in Logistics Market Share (%), By Component, 2018-2032F
  • Figure 19. United States Digital Twins in Logistics Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 20. United States Digital Twins in Logistics Market Share (%), By End-user, 2018-2032F
  • Figure 21. Canada Digital Twins in Logistics Market, By Value, In USD Billion, 2018-2032F
  • Figure 22. Canada Digital Twins in Logistics Market Share (%), By Technology, 2018-2032F
  • Figure 23. Canada Digital Twins in Logistics Market Share (%), By Application, 2018-2032F
  • Figure 24. Canada Digital Twins in Logistics Market Share (%), By Component, 2018-2032F
  • Figure 25. Canada Digital Twins in Logistics Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 26.
  • Figure 27. Canada Digital Twins in Logistics Market Share (%), By End-user, 2018-2032F
  • Figure 28. Mexico Digital Twins in Logistics Market, By Value, In USD Billion, 2018-2032F
  • Figure 29. Mexico Digital Twins in Logistics Market Share (%), By Technology, 2018-2032F
  • Figure 30. Mexico Digital Twins in Logistics Market Share (%), By Application, 2018-2032F
  • Figure 31. Mexico Digital Twins in Logistics Market Share (%), By Component, 2018-2032F
  • Figure 32. Mexico Digital Twins in Logistics Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 33. Mexico Digital Twins in Logistics Market Share (%), By End-user, 2018-2032F
  • Figure 34. Europe Digital Twins in Logistics Market, By Value, In USD Billion, 2018-2032F
  • Figure 35. Europe Digital Twins in Logistics Market Share (%), By Technology, 2018-2032F
  • Figure 36. Europe Digital Twins in Logistics Market Share (%), By Application, 2018-2032F
  • Figure 37. Europe Digital Twins in Logistics Market Share (%), By Component, 2018-2032F
  • Figure 38. Europe Digital Twins in Logistics Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 39. Europe Digital Twins in Logistics Market Share (%), By End-user, 2018-2032F
  • Figure 40. Europe Digital Twins in Logistics Market Share (%), By Country, 2018-2032F
  • Figure 41. Germany Digital Twins in Logistics Market, By Value, In USD Billion, 2018-2032F
  • Figure 42. Germany Digital Twins in Logistics Market Share (%), By Technology, 2018-2032F
  • Figure 43. Germany Digital Twins in Logistics Market Share (%), By Application, 2018-2032F
  • Figure 44. Germany Digital Twins in Logistics Market Share (%), By Component, 2018-2032F
  • Figure 45. Germany Digital Twins in Logistics Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 46. Germany Digital Twins in Logistics Market Share (%), By End-user, 2018-2032F
  • Figure 47. France Digital Twins in Logistics Market, By Value, In USD Billion, 2018-2032F
  • Figure 48. France Digital Twins in Logistics Market Share (%), By Technology, 2018-2032F
  • Figure 49. France Digital Twins in Logistics Market Share (%), By Application, 2018-2032F
  • Figure 50. France Digital Twins in Logistics Market Share (%), By Component, 2018-2032F
  • Figure 51. France Digital Twins in Logistics Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 52. France Digital Twins in Logistics Market Share (%), By End-user, 2018-2032F
  • Figure 53. Italy Digital Twins in Logistics Market, By Value, In USD Billion, 2018-2032F
  • Figure 54. Italy Digital Twins in Logistics Market Share (%), By Technology, 2018-2032F
  • Figure 55. Italy Digital Twins in Logistics Market Share (%), By Application, 2018-2032F
  • Figure 56. Italy Digital Twins in Logistics Market Share (%), By Component, 2018-2032F
  • Figure 57. Italy Digital Twins in Logistics Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 58. Italy Digital Twins in Logistics Market Share (%), By End-user, 2018-2032F
  • Figure 59. United Kingdom Digital Twins in Logistics Market, By Value, In USD Billion, 2018-2032F
  • Figure 60. United Kingdom Digital Twins in Logistics Market Share (%), By Technology, 2018-2032F
  • Figure 61. United Kingdom Digital Twins in Logistics Market Share (%), By Application, 2018-2032F
  • Figure 62. United Kingdom Digital Twins in Logistics Market Share (%), By Component, 2018-2032F
  • Figure 63. United Kingdom Digital Twins in Logistics Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 64. United Kingdom Digital Twins in Logistics Market Share (%), By End-user, 2018-2032F
  • Figure 65. Russia Digital Twins in Logistics Market, By Value, In USD Billion, 2018-2032F
  • Figure 66. Russia Digital Twins in Logistics Market Share (%), By Technology, 2018-2032F
  • Figure 67. Russia Digital Twins in Logistics Market Share (%), By Application, 2018-2032F
  • Figure 68. Russia Digital Twins in Logistics Market Share (%), By Component, 2018-2032F
  • Figure 69. Russia Digital Twins in Logistics Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 70. Russia Digital Twins in Logistics Market Share (%), By End-user, 2018-2032F
  • Figure 71. Netherlands Digital Twins in Logistics Market, By Value, In USD Billion, 2018-2032F
  • Figure 72. Netherlands Digital Twins in Logistics Market Share (%), By Technology, 2018-2032F
  • Figure 73. Netherlands Digital Twins in Logistics Market Share (%), By Application, 2018-2032F
  • Figure 74. Netherlands Digital Twins in Logistics Market Share (%), By Component, 2018-2032F
  • Figure 75. Netherlands Digital Twins in Logistics Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 76. Netherlands Digital Twins in Logistics Market Share (%), By End-user, 2018-2032F
  • Figure 77. Spain Digital Twins in Logistics Market, By Value, In USD Billion, 2018-2032F
  • Figure 78. Spain Digital Twins in Logistics Market Share (%), By Technology, 2018-2032F
  • Figure 79. Spain Digital Twins in Logistics Market Share (%), By Application, 2018-2032F
  • Figure 80. Spain Digital Twins in Logistics Market Share (%), By Component, 2018-2032F
  • Figure 81. Spain Digital Twins in Logistics Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 82. Spain Digital Twins in Logistics Market Share (%), By End-user, 2018-2032F
  • Figure 83. Turkey Digital Twins in Logistics Market, By Value, In USD Billion, 2018-2032F
  • Figure 84. Turkey Digital Twins in Logistics Market Share (%), By Technology, 2018-2032F
  • Figure 85. Turkey Digital Twins in Logistics Market Share (%), By Application, 2018-2032F
  • Figure 86. Turkey Digital Twins in Logistics Market Share (%), By Component, 2018-2032F
  • Figure 87. Turkey Digital Twins in Logistics Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 88. Turkey Digital Twins in Logistics Market Share (%), By End-user, 2018-2032F
  • Figure 89. Poland Digital Twins in Logistics Market, By Value, In USD Billion, 2018-2032F
  • Figure 90. Poland Digital Twins in Logistics Market Share (%), By Technology, 2018-2032F
  • Figure 91. Poland Digital Twins in Logistics Market Share (%), By Application, 2018-2032F
  • Figure 92. Poland Digital Twins in Logistics Market Share (%), By Component, 2018-2032F
  • Figure 93. Poland Digital Twins in Logistics Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 94. Poland Digital Twins in Logistics Market Share (%), By End-user, 2018-2032F
  • Figure 95. South America Digital Twins in Logistics Market, By Value, In USD Billion, 2018-2032F
  • Figure 96. South America Digital Twins in Logistics Market Share (%), By Technology, 2018-2032F
  • Figure 97. South America Digital Twins in Logistics Market Share (%), By Application, 2018-2032F
  • Figure 98. South America Digital Twins in Logistics Market Share (%), By Component, 2018-2032F
  • Figure 99. South America Digital Twins in Logistics Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 100. South America Digital Twins in Logistics Market Share (%), By End-user, 2018-2032F
  • Figure 101. South America Digital Twins in Logistics Market Share (%), By Country, 2018-2032F
  • Figure 102. Brazil Digital Twins in Logistics Market, By Value, In USD Billion, 2018-2032F
  • Figure 103. Brazil Digital Twins in Logistics Market Share (%), By Technology, 2018-2032F
  • Figure 104. Brazil Digital Twins in Logistics Market Share (%), By Application, 2018-2032F
  • Figure 105. Brazil Digital Twins in Logistics Market Share (%), By Component, 2018-2032F
  • Figure 106. Brazil Digital Twins in Logistics Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 107. Brazil Digital Twins in Logistics Market Share (%), By End-user, 2018-2032F
  • Figure 108. Argentina Digital Twins in Logistics Market, By Value, In USD Billion, 2018-2032F
  • Figure 109. Argentina Digital Twins in Logistics Market Share (%), By Technology, 2018-2032F
  • Figure 110. Argentina Digital Twins in Logistics Market Share (%), By Application, 2018-2032F
  • Figure 111. Argentina Digital Twins in Logistics Market Share (%), By Component, 2018-2032F
  • Figure 112. Argentina Digital Twins in Logistics Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 113. Argentina Digital Twins in Logistics Market Share (%), By End-user, 2018-2032F
  • Figure 114. Asia-Pacific Digital Twins in Logistics Market, By Value, In USD Billion, 2018-2032F
  • Figure 115. Asia-Pacific Digital Twins in Logistics Market Share (%), By Technology, 2018-2032F
  • Figure 116. Asia-Pacific Digital Twins in Logistics Market Share (%), By Application, 2018-2032F
  • Figure 117. Asia-Pacific Digital Twins in Logistics Market Share (%), By Component, 2018-2032F
  • Figure 118. Asia-Pacific Digital Twins in Logistics Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 119. Asia-Pacific Digital Twins in Logistics Market Share (%), By End-user, 2018-2032F
  • Figure 120. Asia-Pacific Digital Twins in Logistics Market Share (%), By Country, 2018-2032F
  • Figure 121. India Digital Twins in Logistics Market, By Value, In USD Billion, 2018-2032F
  • Figure 122. India Digital Twins in Logistics Market Share (%), By Technology, 2018-2032F
  • Figure 123. India Digital Twins in Logistics Market Share (%), By Application, 2018-2032F
  • Figure 124. India Digital Twins in Logistics Market Share (%), By Component, 2018-2032F
  • Figure 125. India Digital Twins in Logistics Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 126. India Digital Twins in Logistics Market Share (%), By End-user, 2018-2032F
  • Figure 127. China Digital Twins in Logistics Market, By Value, In USD Billion, 2018-2032F
  • Figure 128. China Digital Twins in Logistics Market Share (%), By Technology, 2018-2032F
  • Figure 129. China Digital Twins in Logistics Market Share (%), By Application, 2018-2032F
  • Figure 130. China Digital Twins in Logistics Market Share (%), By Component, 2018-2032F
  • Figure 131. China Digital Twins in Logistics Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 132. China Digital Twins in Logistics Market Share (%), By End-user, 2018-2032F
  • Figure 133. Japan Digital Twins in Logistics Market, By Value, In USD Billion, 2018-2032F
  • Figure 134. Japan Digital Twins in Logistics Market Share (%), By Technology, 2018-2032F
  • Figure 135. Japan Digital Twins in Logistics Market Share (%), By Application, 2018-2032F
  • Figure 136. Japan Digital Twins in Logistics Market Share (%), By Component, 2018-2032F
  • Figure 137. Japan Digital Twins in Logistics Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 138. Japan Digital Twins in Logistics Market Share (%), By End-user, 2018-2032F
  • Figure 139. Australia Digital Twins in Logistics Market, By Value, In USD Billion, 2018-2032F
  • Figure 140. Australia Digital Twins in Logistics Market Share (%), By Technology, 2018-2032F
  • Figure 141. Australia Digital Twins in Logistics Market Share (%), By Application, 2018-2032F
  • Figure 142. Australia Digital Twins in Logistics Market Share (%), By Component, 2018-2032F
  • Figure 143. Australia Digital Twins in Logistics Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 144. Australia Digital Twins in Logistics Market Share (%), By End-user, 2018-2032F
  • Figure 145. Vietnam Digital Twins in Logistics Market, By Value, In USD Billion, 2018-2032F
  • Figure 146. Vietnam Digital Twins in Logistics Market Share (%), By Technology, 2018-2032F
  • Figure 147. Vietnam Digital Twins in Logistics Market Share (%), By Application, 2018-2032F
  • Figure 148. Vietnam Digital Twins in Logistics Market Share (%), By Component, 2018-2032F
  • Figure 149. Vietnam Digital Twins in Logistics Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 150. Vietnam Digital Twins in Logistics Market Share (%), By End-user, 2018-2032F
  • Figure 151. South Korea Digital Twins in Logistics Market, By Value, In USD Billion, 2018-2032F
  • Figure 152. South Korea Digital Twins in Logistics Market Share (%), By Technology, 2018-2032F
  • Figure 153. South Korea Digital Twins in Logistics Market Share (%), By Application, 2018-2032F
  • Figure 154. South Korea Digital Twins in Logistics Market Share (%), By Component, 2018-2032F
  • Figure 155. South Korea Digital Twins in Logistics Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 156. South Korea Digital Twins in Logistics Market Share (%), By End-user, 2018-2032F
  • Figure 157. Indonesia Digital Twins in Logistics Market, By Value, In USD Billion, 2018-2032F
  • Figure 158. Indonesia Digital Twins in Logistics Market Share (%), By Technology, 2018-2032F
  • Figure 159. Indonesia Digital Twins in Logistics Market Share (%), By Application, 2018-2032F
  • Figure 160. Indonesia Digital Twins in Logistics Market Share (%), By Component, 2018-2032F
  • Figure 161. Indonesia Digital Twins in Logistics Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 162. Indonesia Digital Twins in Logistics Market Share (%), By End-user, 2018-2032F
  • Figure 163. Philippines Digital Twins in Logistics Market, By Value, In USD Billion, 2018-2032F
  • Figure 164. Philippines Digital Twins in Logistics Market Share (%), By Technology, 2018-2032F
  • Figure 165. Philippines Digital Twins in Logistics Market Share (%), By Application, 2018-2032F
  • Figure 166. Philippines Digital Twins in Logistics Market Share (%), By Component, 2018-2032F
  • Figure 167. Philippines Digital Twins in Logistics Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 168. Philippines Digital Twins in Logistics Market Share (%), By End-user, 2018-2032F
  • Figure 169. Middle East & Africa Digital Twins in Logistics Market, By Value, In USD Billion, 2018-2032F
  • Figure 170. Middle East & Africa Digital Twins in Logistics Market Share (%), By Technology, 2018-2032F
  • Figure 171. Middle East & Africa Digital Twins in Logistics Market Share (%), By Application, 2018-2032F
  • Figure 172. Middle East & Africa Digital Twins in Logistics Market Share (%), By Component, 2018-2032F
  • Figure 173. Middle East & Africa Digital Twins in Logistics Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 174. Middle East & Africa Digital Twins in Logistics Market Share (%), By End-user, 2018-2032F
  • Figure 175. Middle East & Africa Digital Twins in Logistics Market Share (%), By Country, 2018-2032F
  • Figure 176. Saudi Arabia Digital Twins in Logistics Market, By Value, In USD Billion, 2018-2032F
  • Figure 177. Saudi Arabia Digital Twins in Logistics Market Share (%), By Technology, 2018-2032F
  • Figure 178. Saudi Arabia Digital Twins in Logistics Market Share (%), By Application, 2018-2032F
  • Figure 179. Saudi Arabia Digital Twins in Logistics Market Share (%), By Component, 2018-2032F
  • Figure 180. Saudi Arabia Digital Twins in Logistics Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 181. Saudi Arabia Digital Twins in Logistics Market Share (%), By End-user, 2018-2032F
  • Figure 182. UAE Digital Twins in Logistics Market, By Value, In USD Billion, 2018-2032F
  • Figure 183. UAE Digital Twins in Logistics Market Share (%), By Technology, 2018-2032F
  • Figure 184. UAE Digital Twins in Logistics Market Share (%), By Application, 2018-2032F
  • Figure 185. UAE Digital Twins in Logistics Market Share (%), By Component, 2018-2032F
  • Figure 186. UAE Digital Twins in Logistics Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 187. UAE Digital Twins in Logistics Market Share (%), By End-user, 2018-2032F
  • Figure 188. South Africa Digital Twins in Logistics Market, By Value, In USD Billion, 2018-2032F
  • Figure 189. South Africa Digital Twins in Logistics Market Share (%), By Technology, 2018-2032F
  • Figure 190. South Africa Digital Twins in Logistics Market Share (%), By Application, 2018-2032F
  • Figure 191. South Africa Digital Twins in Logistics Market Share (%), By Component, 2018-2032F
  • Figure 192. South Africa Digital Twins in Logistics Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 193. South Africa Digital Twins in Logistics Market Share (%), By End-user, 2018-2032F
  • Figure 194. By Technology Map-Market Size (USD Billion) & Growth Rate (%), 2024
  • Figure 195. By Application Map-Market Size (USD Billion) & Growth Rate (%), 2024
  • Figure 196. By Component Map-Market Size (USD Billion) & Growth Rate (%), 2024
  • Figure 197. By Deployment Mode Map-Market Size (USD Billion) & Growth Rate (%), 2024
  • Figure 198. By End-user Map-Market Size (USD Billion) & Growth Rate (%), 2024
  • Figure 199. By Region Map-Market Size (USD Billion) & Growth Rate (%), 2024
目次
Product Code: MX13493

Global digital twins in logistics market are projected to witness a CAGR of 12.13% during the forecast period 2025-2032, growing from USD 3.14 billion in 2024 to USD 7.85 billion in 2032F, owing to an increase in need for visibility, automation, and scenario simulation across logistics networks. From route optimization to predictive maintenance, from warehouse digitalization to asset-level traceability, digital twins are embedded across all logistics layers.

In addition, the logistics is no longer about trucks, terminals, or transit points; it is increasingly about virtual replicas. Digital twins have transitioned from an industrial buzzword to a logistics notable change, enabling companies to mirror physical supply chain processes in real time. The result leads to Data-led decisions, predictive precision, and a new level of agility in a traditionally rigid sector.

Governments and port authorities are also stepping in, driving the global market growth in the forecast period. For instance, in November 2023, the Port of Rotterdam Authority launched its second-generation digital twin platform for real-time vessel traffic simulation and cargo management across the terminal, using data from over 40,000 sensors and predictive AI tools developed in partnership with IBM.

Rising Demand for Predictive Intelligence Drives the Global Digital Twin in Logistics Market Demand

Businesses are now shifting from reactive models to predictive systems, and digital twins sit at the center of transformation. Digital twins allow companies to simulate delivery routes, warehouse operations, and inventory buffers, testing scenarios in advance and turning mitigation into an initiative-taking-rather than reactive-process.

For instance, in February 2024, DHL Supply Chain deployed a digital twin model across 20 of its European logistics centers. The system, developed in partnership with Siemens AG and Blue Yonder, used AI simulations to model traffic, labor shifts, and inbound material delays, reducing lead time variability and increasing pick accuracy.

As customer expectations rise and logistics costs tighten, digital twins provide a powerful solution, reducing waste, optimizing resources, and enhancing service levels while proactively anticipating and mitigating risks before they occur.

E-Commerce Expansion and Rising Need for Virtualized Warehousing Lead to Market Growth

E-commerce has transformed logistics, from static supply chains to hyper-responsive ones. With rapid order fulfilment now the norm, logistics providers are investing in virtualized warehouse systems that simulate shelf space, worker routes, SKU locations, and order flows. Digital twins help maximize storage utilization, optimize labor productivity, and increase demand, especially in last-mile-intensive e-commerce zones.

In July 2024, Amazon.com, Inc. unveiled its proprietary "Fulfillment Twin", a real-time virtual twin platform that maps operations across 50+ warehouses in North America. Built on AWS and integrated with Kiva robotics and AI traffic models, the platform helped reduce order processing times by 12% during the Prime Day sale window.

Smaller players are catching up, too. In April 2024, ShipBob Inc., a U.S. based fulfillment provider, introduced digital twin tools for clients to simulate storage configurations and fulfillment scenarios before physically onboarding inventory, improving SLA adherence and reducing inbound errors. With consumer demand surging and warehouse space becoming premium, virtual warehouse simulation is turning into a competitive edge.

Dominance of AI-Integrated Digital Twins in Market Adoption

Among all technology types in the digital twin ecosystem, AI-integrated digital twins are emerging as the dominant force, enabling not just data visualization but also intelligent decision-making. AI-integrated twins combine machine learning, neural networks, and behavioral models to optimize logistics operations in real time. These systems are used to predict equipment failures, analyze delivery delays, and dynamically reconfigure routes based on traffic and demand data.

For example, in March 2025, Microsoft Azure Digital Twins integrated with the Kinaxis Rapid Response platform to offer end-to-end logistics simulation for global freight clients. This allowed operators to predict inventory shortages, truck downtime, and carrier delays - all within a unified, AI-augmented dashboard.

AI-integrated digital twins are particularly popular with freight operators and large-scale 3PLs, where multiple dynamic factors influence operations daily. As data maturity improves, these AI-led systems are expected to drive the next wave of optimization in supply chain orchestration.

North America Dominates the Global Digital Twins in Logistics Market Demand

North America stands out as the most mature and innovation-driven region in the global digital twins in logistics market, not just in terms of adoption but in depth of deployment across the supply chain. The region's dominance is powered by a convergence of three key factors such as high digital infrastructure readiness, early enterprise adoption of cloud and IoT ecosystems, and strategic emphasis on supply chain resiliency post-COVID and post-China sourcing shifts.

U.S.-based logistics giants such as Amazon, FedEx, and UPS are at the forefront, integrating digital twin ecosystems into their warehousing, transportation, and delivery models. These companies not only deploy real-time virtual replicas but also continuously enhance them with AI, 5G, and edge computing to simulate outcomes at scale.

For instance, in August 2024, FedEx Corporation announced the rollout of its proprietary "Network Control Tower", a digital twin platform capable of visualizing and simulating its entire global delivery network. Built in partnership with Microsoft Azure and SAP Logistics Business Network, the system uses predictive analytics to optimize route selection, package prioritization, and carrier utilization, improving service reliability during high-demand peaks such as Black Friday and Cyber Monday.

North America also benefits from strong government and defense-driven innovation. The U.S. Department of Transportation, along with DARPA and NASA, has invested in AI-backed logistics simulation platforms for infrastructure resilience and disaster readiness, many of which are now being commercialized for freight and port logistics.

Impact of the U.S. Tariff on Global Digital Twins in the Logistics Market

Higher hardware costs (IoT sensors, chips, cloud infrastructure) due to tariffs on Chinese electronics could slow digital twin adoption. Logistics firms may face delays in deploying digital twin systems if reliant on tariff-affected hardware (e.g., servers, edge devices). Accelerated "nearshoring" of tech supply chains, pushing companies to source from non-tariff regions (e.g., Vietnam, India, or domestic U.S. suppliers). U.S. and EU collaborations may strengthen as firms avoid Chinese dependencies, reshaping digital twin ecosystems.

Key Players Landscape and Outlook

The global digital twins in logistics market is being shaped by both tech giants and specialized supply chain platforms. Players through platform depth and global reach, offering scalable, cloud-native digital twin ecosystems. At the same time, firms provide vertical-specific logistics twin solutions, focusing on inventory simulation, warehouse robotics, and freight optimization. Competition is increasingly about ecosystem compatibility, data integration, and AI model maturity. Firms offering plug-and-play solutions with legacy ERP systems and real-time IoT sync capabilities are gaining adoption faster. Strategic alliances are also shaping the landscape. For instance, in 2023, ABB Ltd and Bosch Rexroth integrated sensor-rich industrial hardware with twin software models, giving logistics players the ability to monitor physical assets while simulating end-to-end flows virtually.

For instance, in March 2025, Siemens Industry Software Inc. announced that it would ramp up its U.S. investments by more than USD 10 billion, surpassing USD 100 billion in total U.S. investment over the past two decades. The company opened and expanded factories in Texas and California, creating over 900 skilled manufacturing jobs and more than doubled its production capacity for electric equipment critical to powering AI data centers and other infrastructure. In its largest-ever push into industrial software and AI, Siemens is acquiring Altair Engineering for approximately USD 10 billion, aiming to build the world's most complete AI-powered industrial software portfolio and accelerate digital transformation across American manufacturing.

Table of Contents

1. Project Scope and Definitions

2. Research Methodology

3. Impact of U.S. Tariffs

4. Executive Summary

5. Voice of Customers

  • 5.1. Data Integration Capabilities
  • 5.2. Scalability and Flexibility
  • 5.3. Implementation and Support
  • 5.4. Cost of ROI

6. Global Digital Twins in Logistics Market Outlook, 2018-2032F

  • 6.1. Market Size Analysis & Forecast
    • 6.1.1. By Value
  • 6.2. Market Share Analysis & Forecast
    • 6.2.1. By Technology
      • 6.2.1.1. IoT-based Digital Twins
      • 6.2.1.2. Cloud-based Digital Twins
      • 6.2.1.3. On-Premise Digital Twins
      • 6.2.1.4. Artificial Intelligence Integrated Digital Twins
    • 6.2.2. By Application
      • 6.2.2.1. Route Optimization
      • 6.2.2.2. Warehouse and Inventory Management
      • 6.2.2.3. Predictive Maintenance
      • 6.2.2.4. Asset Tracking
    • 6.2.3. By Component
      • 6.2.3.1. Software
      • 6.2.3.2. Service
    • 6.2.4. By Deployment Model
      • 6.2.4.1. Cloud-based
      • 6.2.4.2. On-premises
    • 6.2.5. By End-user
      • 6.2.5.1. Third-Party Logistics Providers
      • 6.2.5.2. Freight Operators
      • 6.2.5.3. Warehousing
      • 6.2.5.4. E-commerce
    • 6.2.6. By Region
      • 6.2.6.1. North America
      • 6.2.6.2. Europe
      • 6.2.6.3. Asia-Pacific
      • 6.2.6.4. South America
      • 6.2.6.5. Middle East and Africa
    • 6.2.7. By Company Market Share Analysis (Top 5 Companies and Others - By Value, 2024)
  • 6.3. Market Map Analysis, 2024
    • 6.3.1. By Technology
    • 6.3.2. By Application
    • 6.3.3. By Component
    • 6.3.4. By Deployment Model
    • 6.3.5. By End-user
    • 6.3.6. By Region

7. North America Digital Twins in Logistics Market Outlook, 2018-2032F

  • 7.1. Market Size Analysis & Forecast
    • 7.1.1. By Value
  • 7.2. Market Share Analysis & Forecast
    • 7.2.1. By Technology
      • 7.2.1.1. IoT-based Digital Twins
      • 7.2.1.2. Cloud-based Digital Twins
      • 7.2.1.3. On-Premise Digital Twins
      • 7.2.1.4. Artificial Intelligence Integrated Digital Twins
    • 7.2.2. By Application
      • 7.2.2.1. Route Optimization
      • 7.2.2.2. Warehouse and Inventory Management
      • 7.2.2.3. Predictive Maintenance
      • 7.2.2.4. Asset Tracking
    • 7.2.3. By Component
      • 7.2.3.1. Software
      • 7.2.3.2. Service
    • 7.2.4. By Deployment Model
      • 7.2.4.1. Cloud-based
      • 7.2.4.2. On-premises
    • 7.2.5. By End-user
      • 7.2.5.1. Third-Party Logistics Providers
      • 7.2.5.2. Freight Operators
      • 7.2.5.3. Warehousing
      • 7.2.5.4. E-commerce
    • 7.2.6. By Country Share
      • 7.2.6.1. United States
      • 7.2.6.2. Canada
      • 7.2.6.3. Mexico
  • 7.3. Country Market Assessment
    • 7.3.1. United States Digital Twins in Logistics Market Outlook, 2018-2032F*
      • 7.3.1.1. Market Size Analysis & Forecast
        • 7.3.1.1.1. By Value
      • 7.3.1.2. Market Share Analysis & Forecast
        • 7.3.1.2.1. By Technology
          • 7.3.1.2.1.1. IoT-based Digital Twins
          • 7.3.1.2.1.2. Cloud-based Digital Twins
          • 7.3.1.2.1.3. On-Premise Digital Twins
          • 7.3.1.2.1.4. Artificial Intelligence Integrated Digital Twins
        • 7.3.1.2.2. By Application
          • 7.3.1.2.2.1. Route Optimization
          • 7.3.1.2.2.2. Warehouse and Inventory Management
          • 7.3.1.2.2.3. Predictive Maintenance
          • 7.3.1.2.2.4. Asset Tracking
        • 7.3.1.2.3. By Component
          • 7.3.1.2.3.1. Software
          • 7.3.1.2.3.2. Service
        • 7.3.1.2.4. By Deployment Model
          • 7.3.1.2.4.1. Cloud-based
          • 7.3.1.2.4.2. On-premises
        • 7.3.1.2.5. By End-user
          • 7.3.1.2.5.1. Third-Party Logistics Providers
          • 7.3.1.2.5.2. Freight Operators
          • 7.3.1.2.5.3. Warehousing
          • 7.3.1.2.5.4. E-commerce
    • 7.3.2. Canada
    • 7.3.3. Mexico

All segments will be provided for all regions and countries covered

8. Europe Digital Twins in Logistics Market Outlook, 2018-2032F

  • 8.1. Germany
  • 8.2. France
  • 8.3. Italy
  • 8.4. United Kingdom
  • 8.5. Russia
  • 8.6. Netherlands
  • 8.7. Spain
  • 8.8. Turkey
  • 8.9. Poland

9. Asia-Pacific Digital Twins in Logistics Market Outlook, 2018-2032F

  • 9.1. India
  • 9.2. China
  • 9.3. Japan
  • 9.4. Australia
  • 9.5. Vietnam
  • 9.6. South Korea
  • 9.7. Indonesia
  • 9.8. Philippines

10. South America Digital Twins in Logistics Market Outlook, 2018-2032F

  • 10.1. Brazil
  • 10.2. Argentina

11. Middle East and Africa Digital Twins in Logistics Market Outlook, 2018-2032F

  • 11.1. Saudi Arabia
  • 11.2. UAE
  • 11.3. South Africa

12. Demand Supply Analysis

13. Value Chain Analysis

14. Porter's Five Forces Analysis

15. PESTLE Analysis

16. Market Dynamics

  • 16.1. Market Drivers
  • 16.2. Market Challenges

17. Consumer Buying Behavior Analysis

18. Market Trends and Developments

19. Policy and Regulatory Landscape

20. Case Studies

21. Competitive Landscape

  • 21.1. Competition Matrix of Top 5 Market Leaders
  • 21.2. SWOT Analysis for Top 5 Players
  • 21.3. Key Players Landscape for Top 10 Market Players
    • 21.3.1. Microsoft Corporation
      • 21.3.1.1. Company Details
      • 21.3.1.2. Key Management Personnel
      • 21.3.1.3. Products and Services
      • 21.3.1.4. Financials (As Reported)
      • 21.3.1.5. Key Market Focus and Geographical Presence
      • 21.3.1.6. Recent Developments/Collaborations/Partnerships/Mergers and Acquisition
    • 21.3.2. Oracle Corporation
    • 21.3.3. SAP SE
    • 21.3.4. International Business Machines Corporation (IBM)
    • 21.3.5. Siemens Industry Software Inc.
    • 21.3.6. AVEVA Group Limited
    • 21.3.7. Amazon Web Services, Inc.
    • 21.3.8. Blue Yonder Group, Inc.
    • 21.3.9. Bentley Systems Incorporated
    • 21.3.10. Kinaxis Inc.

Companies mentioned above DO NOT hold any order as per market share and can be changed as per information available during research work.

22. Strategic Recommendations

23. About Us and Disclaimer