表紙:サプライチェーン向けAIの世界市場の評価:コンポーネント別、規模別、ソリューションタイプ別、エンドユーザー別、地域別、機会、予測(2017年~2031年)
市場調査レポート
商品コード
1400692

サプライチェーン向けAIの世界市場の評価:コンポーネント別、規模別、ソリューションタイプ別、エンドユーザー別、地域別、機会、予測(2017年~2031年)

Artificial Intelligence in Supply Chain Market Assessment, By Component, By Size, By Solution Type, By End-user, By Region, Opportunities and Forecast, 2017-2031F

出版日: | 発行: Market Xcel - Markets and Data | ページ情報: 英文 225 Pages | 納期: 3~5営業日

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価格
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サプライチェーン向けAIの世界市場の評価:コンポーネント別、規模別、ソリューションタイプ別、エンドユーザー別、地域別、機会、予測(2017年~2031年)
出版日: 2024年01月03日
発行: Market Xcel - Markets and Data
ページ情報: 英文 225 Pages
納期: 3~5営業日
  • 全表示
  • 概要
  • 図表
  • 目次
概要

世界のサプライチェーン向けAIの市場規模は、2023年に50億5,000万米ドル、2031年に310億8,000万米ドルに達し、2024年~2031年の予測期間にCAGRで25.5%の成長が見込まれています。

AIとオートメーションは過去10年間でサプライチェーンにますます浸透し、組織に生産性の向上、顧客体験の強化、経費削減の機会を提供しています。サプライチェーン向けAIの利用は著しく拡大しています。例えば、2023年9月に発表されたMecalux, S.A.の最新データによると、経営幹部の90%が最先端技術に年間100万米ドル以上を投資する意向であり、その58%はAIがこの部門に革命を起こし、持続的な競争力をもたらす可能性がもっとも高いと考えています。技術への投資の増加により、デジタルサプライチェーンは世界の動向になりつつあります。さらに、参入企業の86%は、2027年までにサプライネットワークが「自律、デジタル、コネクテッド、アジャイル、インテリジェント」になると予測しています。

ロジスティクスオートメーションが市場の成長を促進

ロジスティクスとサプライチェーン管理の多くの分野を最適化し単純化するAI技術の利用を可能にすることで、ロジスティクスオートメーションはサプライチェーン向けAI市場に寄与します。需要予測、よりよいルーティングと配送、よりよい積み込み手順、在庫管理の改善などがAIで行われています。

例えば、AIは需要予測、配送トラックの最適なルートの割り出し、よりよい在庫レベルの管理で企業を支援できます。サプライチェーン向けAI市場の拡大は、このようなAIのロジスティクスサプライチェーン管理への統合によってもたらされる、より高い効率性、コスト削減、顧客満足度の向上によって推進されています。

倉庫オートメーションがサプライチェーン向けAI市場に拍車をかける

倉庫管理の生産性、効率性、安全性の向上にAI技術を活用することで、倉庫オートメーションはサプライチェーン産業へのAIの統合をリードしています。コボットやその他のAI対応技術を倉庫で活用することで、面倒な作業を自動化し、ワークフローを合理化し、在庫管理を強化しています。企業はAIを活用することで、全体的な業務効率を高め、注文処理を迅速化し、より高い在庫管理精度を達成できます。倉庫オートメーションにAIを取り入れることで、サプライチェーン市場は革命を起こし、コスト削減、顧客満足度の向上、より迅速で柔軟なサプライチェーンが実現します。

需要予測がサプライチェーン向けAI市場を牽引

サプライチェーン作業を最適化することで、過剰在庫や在庫切れを防ぎ、AI技術を活用することで将来の需要を予測することができます。正確な需要予測を行うため、AIシステムは過去の動向、季節性、外部からの影響などの膨大なデータを調査します。これにより、企業はマーケティングや生産活動をより適切に計画し、在庫レベルを修正し、市場の変動に対応することが可能になります。AIを活用した需要予測は、コスト削減、顧客満足度の向上、よりダイナミックで効率的なサプライネットワークを通じて、サプライチェーンマネジメントを変革しています。

アジア太平洋が世界市場を独占

アジア太平洋は、同地域の組織や政府の活動に後押しされ、経済におけるAIの発展の見通しに対する理解や認識が高まっていることから、サプライチェーン向けAI市場を独占しています。同地域の市場は、サプライチェーンソリューションの開発の拡大と、AIの導入に対する注目の高まりによって牽引されています。アジア太平洋のサプライチェーンAI市場の成長をさらに促進しているのが、急速に拡大する経済、ハイテクに精通した若年層、IoTの受容の拡大です。

当レポートでは、世界のサプライチェーン向けAI市場について調査分析し、市場規模と予測、市場力学、主要企業の情勢と見通しなどを提供しています。

目次

第1章 調査手法

第2章 プロジェクトの範囲と定義

第3章 世界のサプライチェーン向けAI市場に対するCOVID-19の影響

第4章 ロシア・ウクライナ戦争の影響

第5章 エグゼクティブサマリー

第6章 顧客の声

  • 製品と市場のインテリジェンス
  • ブランド認知の方式
  • 購入決定において考慮される要素
  • プライバシーと安全規制への配慮

第7章 世界のサプライチェーン向けAI市場の見通し(2017年~2031年)

  • 市場規模と予測
    • 金額
    • 数量
  • コンポーネント別
    • ハードウェア
    • ソフトウェア
    • サービス
  • 規模別
    • 小規模企業
    • 中規模企業
    • 大規模企業
  • ソリューションタイプ別
    • フリート管理
    • 危機管理
    • サプライチェーン計画
    • 倉庫管理
    • バーチャルアシスタント
    • 貨物、出荷管理
    • その他
  • エンドユーザー別
    • 自動車
    • 医療
    • 航空宇宙
    • 製造
    • 小売
    • 食品・飲料
    • その他
  • 地域別
    • 北米
    • 欧州
    • アジア太平洋
    • 南米
    • 中東・アフリカ
  • 市場シェア:企業別(2023年)

第8章 世界のサプライチェーン向けAI市場の見通し:地域別(2017年~2031年)

  • 北米
    • 市場規模と予測
    • コンポーネント別
    • 規模別
    • ソリューションタイプ別
    • エンドユーザー別
    • 米国
    • カナダ
    • メキシコ
  • 欧州
    • 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
  • アジア太平洋
    • 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
  • 南米
    • ブラジル
    • アルゼンチン
  • 中東・アフリカ
    • サウジアラビア
    • アラブ首長国連邦
    • 南アフリカ

第9章 市場マッピング(2022年)

  • コンポーネント別
  • 規模別
  • ソリューションタイプ別
  • エンドユーザー別
  • 地域別

第10章 マクロ環境と産業構造

  • 需給分析
  • 輸出入の分析
  • バリューチェーン分析
  • PESTEL分析
  • ポーターのファイブフォース分析

第11章 市場力学

  • 成長促進要因
  • 成長抑制要因(課題、抑制要因)

第12章 主要企業情勢

  • マーケットリーダー上位5社の競合マトリクス
  • マーケットリーダー上位5社の市場収益分析(2023年)
  • 合併と買収/合弁事業(該当する場合)
  • SWOT分析(市場参入企業5社向け)
  • 特許分析(該当する場合)

第13章 価格分析

第14章 ケーススタディ

第15章 主要企業の見通し

  • Amazon.com, Inc.
  • Coupa Software Inc.
  • DataArt
  • Google
  • H2O.ai, Inc.
  • IBM Corporation
  • Infor
  • Microsoft Corporation
  • Symbotic Inc.
  • Uptake Technologies Inc.

第16章 戦略的推奨事項

第17章 当社について、免責事項

図表

List of Tables

  • Table 1. Pricing Analysis of Products from Key Players
  • Table 2. Competition Matrix of Top 5 Market Leaders
  • Table 3. Mergers & Acquisitions/ Joint Ventures (If Applicable)
  • Table 4. About Us - Regions and Countries Where We Have Executed Client Projects

List of Figures

  • Figure 1. Global Artificial Intelligence in Supply Chain Market, By Value, In USD Billion, 2017-2031F
  • Figure 2. Global Artificial Intelligence in Supply Chain Market, By Volume, In Million Units, 2017-2031F
  • Figure 3. Global Artificial Intelligence in Supply Chain Market Share (%), By Component, 2017-2031F
  • Figure 4. Global Artificial Intelligence in Supply Chain Market Share (%), By Size, 2017-2031F
  • Figure 5. Global Artificial Intelligence in Supply Chain Market Share (%), By Solution Type, 2017-2031F
  • Figure 6. Global Artificial Intelligence in Supply Chain Market Share (%), By End-user, 2017-2031F
  • Figure 7. Global Artificial Intelligence in Supply Chain Market Share (%), By Region, 2017-2031F
  • Figure 8. North America Artificial Intelligence in Supply Chain Market, By Value, In USD Billion, 2017-2031F
  • Figure 9. North America Artificial Intelligence in Supply Chain Market, By Volume, In Million Units, 2017-2031F
  • Figure 10. North America Artificial Intelligence in Supply Chain Market Share (%), By Component, 2017-2031F
  • Figure 11. North America Artificial Intelligence in Supply Chain Market Share (%), By Size, 2017-2031F
  • Figure 12. North America Artificial Intelligence in Supply Chain Market Share (%), By Solution Type, 2017-2031F
  • Figure 13. North America Artificial Intelligence in Supply Chain Market Share (%), By End-user, 2017-2031F
  • Figure 14. North America Artificial Intelligence in Supply Chain Market Share (%), By Country, 2017-2031F
  • Figure 15. United States Artificial Intelligence in Supply Chain Market, By Value, In USD Billion, 2017-2031F
  • Figure 16. United States Artificial Intelligence in Supply Chain Market, By Volume, In Million Units, 2017-2031F
  • Figure 17. United States Artificial Intelligence in Supply Chain Market Share (%), By Component, 2017-2031F
  • Figure 18. United States Artificial Intelligence in Supply Chain Market Share (%), By Size, 2017-2031F
  • Figure 19. United States Artificial Intelligence in Supply Chain Market Share (%), By Solution Type, 2017-2031F
  • Figure 20. United States Artificial Intelligence in Supply Chain Market Share (%), By End-user, 2017-2031F
  • Figure 21. Canada Artificial Intelligence in Supply Chain Market, By Value, In USD Billion, 2017-2031F
  • Figure 22. Canada Artificial Intelligence in Supply Chain Market, By Volume, In Million Units, 2017-2031F
  • Figure 23. Canada Artificial Intelligence in Supply Chain Market Share (%), By Component, 2017-2031F
  • Figure 24. Canada Artificial Intelligence in Supply Chain Market Share (%), By Size, 2017-2031F
  • Figure 25. Canada Artificial Intelligence in Supply Chain Market Share (%), By Solution Type, 2017-2031F
  • Figure 26. Canada Artificial Intelligence in Supply Chain Market Share (%), By End-user, 2017-2031F
  • Figure 27. Mexico Artificial Intelligence in Supply Chain Market, By Value, In USD Billion, 2017-2031F
  • Figure 28. Mexico Artificial Intelligence in Supply Chain Market, By Volume, In Million Units, 2017-2031F
  • Figure 29. Mexico Artificial Intelligence in Supply Chain Market Share (%), By Component, 2017-2031F
  • Figure 30. Mexico Artificial Intelligence in Supply Chain Market Share (%), By Size, 2017-2031F
  • Figure 31. Mexico Artificial Intelligence in Supply Chain Market Share (%), By Solution Type, 2017-2031F
  • Figure 32. Mexico Artificial Intelligence in Supply Chain Market Share (%), By End-user, 2017-2031F
  • Figure 33. Europe Artificial Intelligence in Supply Chain Market, By Value, In USD Billion, 2017-2031F
  • Figure 34. Europe Artificial Intelligence in Supply Chain Market, By Volume, In Million Units, 2017-2031F
  • Figure 35. Europe Artificial Intelligence in Supply Chain Market Share (%), By Component, 2017-2031F
  • Figure 36. Europe Artificial Intelligence in Supply Chain Market Share (%), By Size, 2017-2031F
  • Figure 37. Europe Artificial Intelligence in Supply Chain Market Share (%), By Solution Type, 2017-2031F
  • Figure 38. Europe Artificial Intelligence in Supply Chain Market Share (%), By End-user, 2017-2031F
  • Figure 39. Europe Artificial Intelligence in Supply Chain Market Share (%), By Country, 2017-2031F
  • Figure 40. Germany Artificial Intelligence in Supply Chain Market, By Value, In USD Billion, 2017-2031F
  • Figure 41. Germany Artificial Intelligence in Supply Chain Market, By Volume, In Million Units, 2017-2031F
  • Figure 42. Germany Artificial Intelligence in Supply Chain Market Share (%), By Component, 2017-2031F
  • Figure 43. Germany Artificial Intelligence in Supply Chain Market Share (%), By Size, 2017-2031F
  • Figure 44. Germany Artificial Intelligence in Supply Chain Market Share (%), By Solution Type, 2017-2031F
  • Figure 45. Germany Artificial Intelligence in Supply Chain Market Share (%), By End-user, 2017-2031F
  • Figure 46. France Artificial Intelligence in Supply Chain Market, By Value, In USD Billion, 2017-2031F
  • Figure 47. France Artificial Intelligence in Supply Chain Market, By Volume, In Million Units, 2017-2031F
  • Figure 48. France Artificial Intelligence in Supply Chain Market Share (%), By Component, 2017-2031F
  • Figure 49. France Artificial Intelligence in Supply Chain Market Share (%), By Size, 2017-2031F
  • Figure 50. France Artificial Intelligence in Supply Chain Market Share (%), By Solution Type, 2017-2031F
  • Figure 51. France Artificial Intelligence in Supply Chain Market Share (%), By End-user, 2017-2031F
  • Figure 52. Italy Artificial Intelligence in Supply Chain Market, By Value, In USD Billion, 2017-2031F
  • Figure 53. Italy Artificial Intelligence in Supply Chain Market, By Volume, In Million Units, 2017-2031F
  • Figure 54. Italy Artificial Intelligence in Supply Chain Market Share (%), By Component, 2017-2031F
  • Figure 55. Italy Artificial Intelligence in Supply Chain Market Share (%), By Size, 2017-2031F
  • Figure 56. Italy Artificial Intelligence in Supply Chain Market Share (%), By Solution Type, 2017-2031F
  • Figure 57. Italy Artificial Intelligence in Supply Chain Market Share (%), By End-user, 2017-2031F
  • Figure 58. United Kingdom Artificial Intelligence in Supply Chain Market, By Value, In USD Billion, 2017-2031F
  • Figure 59. United Kingdom Artificial Intelligence in Supply Chain Market, By Volume, In Million Units, 2017-2031F
  • Figure 60. United Kingdom Artificial Intelligence in Supply Chain Market Share (%), By Component, 2017-2031F
  • Figure 61. United Kingdom Artificial Intelligence in Supply Chain Market Share (%), By Size, 2017-2031F
  • Figure 62. United Kingdom Artificial Intelligence in Supply Chain Market Share (%), By Solution Type, 2017-2031F
  • Figure 63. United Kingdom Artificial Intelligence in Supply Chain Market Share (%), By End-user, 2017-2031F
  • Figure 64. Russia Artificial Intelligence in Supply Chain Market, By Value, In USD Billion, 2017-2031F
  • Figure 65. Russia Artificial Intelligence in Supply Chain Market, By Volume, In Million Units, 2017-2031F
  • Figure 66. Russia Artificial Intelligence in Supply Chain Market Share (%), By Component, 2017-2031F
  • Figure 67. Russia Artificial Intelligence in Supply Chain Market Share (%), By Size, 2017-2031F
  • Figure 68. Russia Artificial Intelligence in Supply Chain Market Share (%), By Solution Type, 2017-2031F
  • Figure 69. Russia Artificial Intelligence in Supply Chain Market Share (%), By End-user, 2017-2031F
  • Figure 70. Netherlands Artificial Intelligence in Supply Chain Market, By Value, In USD Billion, 2017-2031F
  • Figure 71. Netherlands Artificial Intelligence in Supply Chain Market, By Volume, In Million Units, 2017-2031F
  • Figure 72. Netherlands Artificial Intelligence in Supply Chain Market Share (%), By Component, 2017-2031F
  • Figure 73. Netherlands Artificial Intelligence in Supply Chain Market Share (%), By Size, 2017-2031F
  • Figure 74. Netherlands Artificial Intelligence in Supply Chain Market Share (%), By Solution Type, 2017-2031F
  • Figure 75. Netherlands Artificial Intelligence in Supply Chain Market Share (%), By End-user, 2017-2031F
  • Figure 76. Spain Artificial Intelligence in Supply Chain Market, By Value, In USD Billion, 2017-2031F
  • Figure 77. Spain Artificial Intelligence in Supply Chain Market, By Volume, In Million Units, 2017-2031F
  • Figure 78. Spain Artificial Intelligence in Supply Chain Market Share (%), By Component, 2017-2031F
  • Figure 79. Spain Artificial Intelligence in Supply Chain Market Share (%), By Size, 2017-2031F
  • Figure 80. Spain Artificial Intelligence in Supply Chain Market Share (%), By Solution Type, 2017-2031F
  • Figure 81. Spain Artificial Intelligence in Supply Chain Market Share (%), By End-user, 2017-2031F
  • Figure 82. Turkey Artificial Intelligence in Supply Chain Market, By Value, In USD Billion, 2017-2031F
  • Figure 83. Turkey Artificial Intelligence in Supply Chain Market, By Volume, In Million Units, 2017-2031F
  • Figure 84. Turkey Artificial Intelligence in Supply Chain Market Share (%), By Component, 2017-2031F
  • Figure 85. Turkey Artificial Intelligence in Supply Chain Market Share (%), By Size, 2017-2031F
  • Figure 86. Turkey Artificial Intelligence in Supply Chain Market Share (%), By Solution Type, 2017-2031F
  • Figure 87. Turkey Artificial Intelligence in Supply Chain Market Share (%), By End-user, 2017-2031F
  • Figure 88. Poland Artificial Intelligence in Supply Chain Market, By Value, In USD Billion, 2017-2031F
  • Figure 89. Poland Artificial Intelligence in Supply Chain Market, By Volume, In Million Units, 2017-2031F
  • Figure 90. Poland Artificial Intelligence in Supply Chain Market Share (%), By Component, 2017-2031F
  • Figure 91. Poland Artificial Intelligence in Supply Chain Market Share (%), By Size, 2017-2031F
  • Figure 92. Poland Artificial Intelligence in Supply Chain Market Share (%), By Solution Type, 2017-2031F
  • Figure 93. Poland Artificial Intelligence in Supply Chain Market Share (%), By End-user, 2017-2031F
  • Figure 94. South America Artificial Intelligence in Supply Chain Market, By Value, In USD Billion, 2017-2031F
  • Figure 95. South America Artificial Intelligence in Supply Chain Market, By Volume, In Million Units, 2017-2031F
  • Figure 96. South America Artificial Intelligence in Supply Chain Market Share (%), By Component, 2017-2031F
  • Figure 97. South America Artificial Intelligence in Supply Chain Market Share (%), By Size, 2017-2031F
  • Figure 98. South America Artificial Intelligence in Supply Chain Market Share (%), By Solution Type, 2017-2031F
  • Figure 99. South America Artificial Intelligence in Supply Chain Market Share (%), By End-user, 2017-2031F
  • Figure 100. South America Artificial Intelligence in Supply Chain Market Share (%), By Country, 2017-2031F
  • Figure 101. Brazil Artificial Intelligence in Supply Chain Market, By Value, In USD Billion, 2017-2031F
  • Figure 102. Brazil Artificial Intelligence in Supply Chain Market, By Volume, In Million Units, 2017-2031F
  • Figure 103. Brazil Artificial Intelligence in Supply Chain Market Share (%), By Component, 2017-2031F
  • Figure 104. Brazil Artificial Intelligence in Supply Chain Market Share (%), By Size, 2017-2031F
  • Figure 105. Brazil Artificial Intelligence in Supply Chain Market Share (%), By Solution Type, 2017-2031F
  • Figure 106. Brazil Artificial Intelligence in Supply Chain Market Share (%), By End-user, 2017-2031F
  • Figure 107. Argentina Artificial Intelligence in Supply Chain Market, By Value, In USD Billion, 2017-2031F
  • Figure 108. Argentina Artificial Intelligence in Supply Chain Market, By Volume, In Million Units, 2017-2031F
  • Figure 109. Argentina Artificial Intelligence in Supply Chain Market Share (%), By Component, 2017-2031F
  • Figure 110. Argentina Artificial Intelligence in Supply Chain Market Share (%), By Size, 2017-2031F
  • Figure 111. Argentina Artificial Intelligence in Supply Chain Market Share (%), By Solution Type, 2017-2031F
  • Figure 112. Argentina Artificial Intelligence in Supply Chain Market Share (%), By End-user, 2017-2031F
  • Figure 113. Asia-Pacific Artificial Intelligence in Supply Chain Market, By Value, In USD Billion, 2017-2031F
  • Figure 114. Asia-Pacific Artificial Intelligence in Supply Chain Market, By Volume, In Million Units, 2017-2031F
  • Figure 115. Asia-Pacific Artificial Intelligence in Supply Chain Market Share (%), By Component, 2017-2031F
  • Figure 116. Asia-Pacific Artificial Intelligence in Supply Chain Market Share (%), By Size, 2017-2031F
  • Figure 117. Asia-Pacific Artificial Intelligence in Supply Chain Market Share (%), By Solution Type, 2017-2031F
  • Figure 118. Asia-Pacific Artificial Intelligence in Supply Chain Market Share (%), By End-user, 2017-2031F
  • Figure 119. Asia-Pacific Artificial Intelligence in Supply Chain Market Share (%), By Country, 2017-2031F
  • Figure 120. India Artificial Intelligence in Supply Chain Market, By Value, In USD Billion, 2017-2031F
  • Figure 121. India Artificial Intelligence in Supply Chain Market, By Volume, In Million Units, 2017-2031F
  • Figure 122. India Artificial Intelligence in Supply Chain Market Share (%), By Component, 2017-2031F
  • Figure 123. India Artificial Intelligence in Supply Chain Market Share (%), By Size, 2017-2031F
  • Figure 124. India Artificial Intelligence in Supply Chain Market Share (%), By Solution Type, 2017-2031F
  • Figure 125. India Artificial Intelligence in Supply Chain Market Share (%), By End-user, 2017-2031F
  • Figure 126. China Artificial Intelligence in Supply Chain Market, By Value, In USD Billion, 2017-2031F
  • Figure 127. China Artificial Intelligence in Supply Chain Market, By Volume, In Million Units, 2017-2031F
  • Figure 128. China Artificial Intelligence in Supply Chain Market Share (%), By Component, 2017-2031F
  • Figure 129. China Artificial Intelligence in Supply Chain Market Share (%), By Size, 2017-2031F
  • Figure 130. China Artificial Intelligence in Supply Chain Market Share (%), By Solution Type, 2017-2031F
  • Figure 131. China Artificial Intelligence in Supply Chain Market Share (%), By End-user, 2017-2031F
  • Figure 132. Japan Artificial Intelligence in Supply Chain Market, By Value, In USD Billion, 2017-2031F
  • Figure 133. Japan Artificial Intelligence in Supply Chain Market, By Volume, In Million Units, 2017-2031F
  • Figure 134. Japan Artificial Intelligence in Supply Chain Market Share (%), By Component, 2017-2031F
  • Figure 135. Japan Artificial Intelligence in Supply Chain Market Share (%), By Size, 2017-2031F
  • Figure 136. Japan Artificial Intelligence in Supply Chain Market Share (%), By Solution Type, 2017-2031F
  • Figure 137. Japan Artificial Intelligence in Supply Chain Market Share (%), By End-user, 2017-2031F
  • Figure 138. Australia Artificial Intelligence in Supply Chain Market, By Value, In USD Billion, 2017-2031F
  • Figure 139. Australia Artificial Intelligence in Supply Chain Market, By Volume, In Million Units, 2017-2031F
  • Figure 140. Australia Artificial Intelligence in Supply Chain Market Share (%), By Component, 2017-2031F
  • Figure 141. Australia Artificial Intelligence in Supply Chain Market Share (%), By Size, 2017-2031F
  • Figure 142. Australia Artificial Intelligence in Supply Chain Market Share (%), By Solution Type, 2017-2031F
  • Figure 143. Australia Artificial Intelligence in Supply Chain Market Share (%), By End-user, 2017-2031F
  • Figure 144. Vietnam Artificial Intelligence in Supply Chain Market, By Value, In USD Billion, 2017-2031F
  • Figure 145. Vietnam Artificial Intelligence in Supply Chain Market, By Volume, In Million Units, 2017-2031F
  • Figure 146. Vietnam Artificial Intelligence in Supply Chain Market Share (%), By Component, 2017-2031F
  • Figure 147. Vietnam Artificial Intelligence in Supply Chain Market Share (%), By Size, 2017-2031F
  • Figure 148. Vietnam Artificial Intelligence in Supply Chain Market Share (%), By Solution Type, 2017-2031F
  • Figure 149. Vietnam Artificial Intelligence in Supply Chain Market Share (%), By End-user, 2017-2031F
  • Figure 150. South Korea Artificial Intelligence in Supply Chain Market, By Value, In USD Billion, 2017-2031F
  • Figure 151. South Korea Artificial Intelligence in Supply Chain Market, By Volume, In Million Units, 2017-2031F
  • Figure 152. South Korea Artificial Intelligence in Supply Chain Market Share (%), By Component, 2017-2031F
  • Figure 153. South Korea Artificial Intelligence in Supply Chain Market Share (%), By Size, 2017-2031F
  • Figure 154. South Korea Artificial Intelligence in Supply Chain Market Share (%), By Solution Type, 2017-2031F
  • Figure 155. South Korea Artificial Intelligence in Supply Chain Market Share (%), By End-user, 2017-2031F
  • Figure 156. Indonesia Artificial Intelligence in Supply Chain Market, By Value, In USD Billion, 2017-2031F
  • Figure 157. Indonesia Artificial Intelligence in Supply Chain Market, By Volume, In Million Units, 2017-2031F
  • Figure 158. Indonesia Artificial Intelligence in Supply Chain Market Share (%), By Component, 2017-2031F
  • Figure 159. Indonesia Artificial Intelligence in Supply Chain Market Share (%), By Size, 2017-2031F
  • Figure 160. Indonesia Artificial Intelligence in Supply Chain Market Share (%), By Solution Type, 2017-2031F
  • Figure 161. Indonesia Artificial Intelligence in Supply Chain Market Share (%), By End-user, 2017-2031F
  • Figure 162. Philippines Artificial Intelligence in Supply Chain Market, By Value, In USD Billion, 2017-2031F
  • Figure 163. Philippines Artificial Intelligence in Supply Chain Market, By Volume, In Million Units, 2017-2031F
  • Figure 164. Philippines Artificial Intelligence in Supply Chain Market Share (%), By Component, 2017-2031F
  • Figure 165. Philippines Artificial Intelligence in Supply Chain Market Share (%), By Size, 2017-2031F
  • Figure 166. Philippines Artificial Intelligence in Supply Chain Market Share (%), By Solution Type, 2017-2031F
  • Figure 167. Philippines Artificial Intelligence in Supply Chain Market Share (%), By End-user, 2017-2031F
  • Figure 168. Middle East & Africa Artificial Intelligence in Supply Chain Market, By Value, In USD Billion, 2017-2031F
  • Figure 169. Middle East & Africa Artificial Intelligence in Supply Chain Market, By Volume, In Million Units, 2017-2031F
  • Figure 170. Middle East & Africa Artificial Intelligence in Supply Chain Market Share (%), By Component, 2017-2031F
  • Figure 171. Middle East & Africa Artificial Intelligence in Supply Chain Market Share (%), By Size, 2017-2031F
  • Figure 172. Middle East & Africa Artificial Intelligence in Supply Chain Market Share (%), By Solution Type, 2017-2031F
  • Figure 173. Middle East & Africa Artificial Intelligence in Supply Chain Market Share (%), By End-user, 2017-2031F
  • Figure 174. Middle East & Africa Artificial Intelligence in Supply Chain Market Share (%), By Country, 2017-2031F
  • Figure 175. Saudi Arabia Artificial Intelligence in Supply Chain Market, By Value, In USD Billion, 2017-2031F
  • Figure 176. Saudi Arabia Artificial Intelligence in Supply Chain Market, By Volume, In Million Units, 2017-2031F
  • Figure 177. Saudi Arabia Artificial Intelligence in Supply Chain Market Share (%), By Component, 2017-2031F
  • Figure 178. Saudi Arabia Artificial Intelligence in Supply Chain Market Share (%), By Size, 2017-2031F
  • Figure 179. Saudi Arabia Artificial Intelligence in Supply Chain Market Share (%), By Solution Type, 2017-2031F
  • Figure 180. Saudi Arabia Artificial Intelligence in Supply Chain Market Share (%), By End-user, 2017-2031F
  • Figure 181. UAE Artificial Intelligence in Supply Chain Market, By Value, In USD Billion, 2017-2031F
  • Figure 182. UAE Artificial Intelligence in Supply Chain Market, By Volume, In Million Units, 2017-2031F
  • Figure 183. UAE Artificial Intelligence in Supply Chain Market Share (%), By Component, 2017-2031F
  • Figure 184. UAE Artificial Intelligence in Supply Chain Market Share (%), By Size, 2017-2031F
  • Figure 185. UAE Artificial Intelligence in Supply Chain Market Share (%), By Solution Type, 2017-2031F
  • Figure 186. UAE Artificial Intelligence in Supply Chain Market Share (%), By End-user, 2017-2031F
  • Figure 187. South Africa Artificial Intelligence in Supply Chain Market, By Value, In USD Billion, 2017-2031F
  • Figure 188. South Africa Artificial Intelligence in Supply Chain Market, By Volume, In Million Units, 2017-2031F
  • Figure 189. South Africa Artificial Intelligence in Supply Chain Market Share (%), By Component, 2017-2031F
  • Figure 190. South Africa Artificial Intelligence in Supply Chain Market Share (%), By Size, 2017-2031F
  • Figure 191. South Africa Artificial Intelligence in Supply Chain Market Share (%), By Solution Type, 2017-2031F
  • Figure 192. South Africa Artificial Intelligence in Supply Chain Market Share (%), By End-user, 2017-2031F
  • Figure 193. By Component Map-Market Size (USD Billion) & Growth Rate (%), 2023
  • Figure 194. By Size Map-Market Size (USD Billion) & Growth Rate (%), 2023
  • Figure 195. By Solution Type Map-Market Size (USD Billion) & Growth Rate (%), 2023
  • Figure 196. By End-user Map-Market Size (USD Billion) & Growth Rate (%), 2023
  • Figure 197. By Region Map-Market Size (USD Billion) & Growth Rate (%), 2023
目次
Product Code: MX10777

Global artificial intelligence in supply chain market size was valued at USD 5.05 billion in 2023, which is expected to reach USD 31.08 billion in 2031, with a CAGR of 25.5% for the forecast period between 2024 and 2031.

Artificial intelligence is revolutionizing the supply chain sector by enhancing operational effectiveness, cutting expenses, and raising customer satisfaction. Artificial intelligence in supply chains has the power to fundamentally change how goods are handled, distributed, and moved. In the coming years, supply chains will likely become more autonomous as AI-driven systems will handle a large portion of the procedures from delivery to procurement. Businesses that can invest in and set up their operations to make use of AI's potential in the supply chain can gain a clear competitive edge from the technology. Large volumes of supply chain data may be ingested by AI-enabled solutions, which can identify production issues, upstream or downstream shortages, certify supplies and components, and follow them across the whole supply chain.

Artificial intelligence and automation have been increasingly prevalent in supply chains over the last ten years, providing organizations with the chance to improve productivity, enhance customer experience, and eliminate expenses. The application of artificial intelligence in supply chains has grown significantly. For instance, according to the recent Mecalux, S.A. data published in September 2023, 90% of executives intend to invest more than USD 1 million a year in cutting-edge technologies, and 58% of them believe that AI has the most potential to revolutionize the sector and provide them a sustained competitive edge. Digital supply chains are becoming a global trend due to the increased investment in technology. Furthermore, 86% of the participants anticipate that supply networks will become "autonomous, digital, connected, agile, and intelligent" by 2027.

For instance, in November 2023, Amazon SageMaker presented five enhanced features, such as accelerated model training, reduced installation expenses, and a no-code feature in SageMaker Canvas. SageMaker facilitates ML innovation at scale by training industry-leading models like Jurassic-2, Stable Diffusion, IDEFICS, Falcon 40B and 180B, and StarCoder.

Logistics Automation Promote the Market's Growth

By enabling the application of AI technologies to optimize and simplify many areas of logistics and supply chain management, logistic automation contributes to artificial intelligence in the supply chain market. Demand forecasting, better routing and delivery, better loading procedures, and improved inventory management are being done with AI.

For instance, AI can assist companies in forecasting demand, figuring out the best routes for delivery trucks, and better control stock levels. The expansion of artificial intelligence in the supply chain market is being driven by greater efficiency, cost savings, and improved customer satisfaction that result from this integration of AI into logistics and supply chain management.

For example, in November 2023, with Oracle Fusion Cloud Inventory Management, Oracle unveiled more mobile features for managing medical inventory. The features are designed to decrease inventory errors, increase the effectiveness of restocking, and improve visibility for more accurate demand forecasting and stock availability.

Warehouse Automation Fueling to Artificial Intelligence in Supply Chain Market

By using AI technologies to improve productivity, efficiency, and safety in warehouse management, warehouse automation is leading the way in the supply chain industry's integration of artificial intelligence. Cobots and other AI-enabled technologies are being used in warehouses to automate tedious operations, streamline workflows, and enhance inventory management. Businesses can increase overall operational efficiency, expedite order fulfillment, and achieve higher inventory control accuracy by utilizing AI. The market for supply chains is being revolutionized by the incorporation of AI into warehouse automation, which results in lower costs, higher customer satisfaction, and a more responsive and flexible supply chain.

For instance, in October 2023, Oracle NetSuite enhanced NetSuite Analytics Warehouse with AI-powered capabilities, enhancing data management for healthcare companies and other sectors. The upgrades assist clients in developing analyses that boost productivity, cut expenses, and improve client comprehension, which can contribute to the utilization of data for innovation and expansion.

Demand Forecasting Drives Artificial Intelligence in Supply Chain Market

Supply chain operations can be optimized, thereby overstocking and stockouts can be prevented, and future demand can be predicted by using AI technologies, which are the driving force behind artificial intelligence in supply chain market. To produce precise demand estimates, artificial intelligence systems examine vast amount of data, including past trends, seasonality, and outside influences. This makes it possible for companies to better plan their marketing and production initiatives, modify inventory levels, and respond to market fluctuations. Demand forecasts using AI are transforming supply chain management through lower costs, better customer satisfaction, and more dynamic and efficient supply networks.

For instance, in April 2023, Coupa Software introduced new platform solutions to enhance business continuity and supply assurance, enabling organizations to make more informed spending decisions that promote efficiency, profitability, and purpose.

Asia-Pacific Dominates the Global Market

Asia-Pacific dominates the artificial intelligence in supply chain market owing to a higher level of understanding and awareness of the prospects for the development of AI in the economy, fueled by the efforts of organizations and governments in the region. The region's market is being driven by the expanding developments in supply chain solutions and the increasing focus on the implementation of artificial intelligence. Further driving growth in the Asia-Pacific artificial intelligence in supply chain market are the region's rapidly expanding economy, its youthful, tech-savvy population, and the growing acceptance of Internet of Things.

For instance, in November 2023, Amazon Web Services (AWS) revealed four features for AWS supply chain, which include supply planning, sustainability, visibility, and generative AI.

Recent Government Measures are Spurring the Market

Artificial Intelligence in the supply chain market has undergone a major transformation as a result of recent government efforts. Governments globally have acted to encourage the use of AI after seeing how it can revolutionize supply chain operations. These programs include offering grants and funds to stimulate AI research and development, developing legal frameworks to guarantee the moral and responsible application of AI, and encouraging cooperation between the public and private sectors. Governments in the logistics and transportation sectors are fostering innovation, increasing productivity, and advocating sustainable practices by sponsoring the research and application of AI throughout the supply chain.

For instance, in October 2023, The Global AI Governance Initiative was established to encourage the ethical advancement and worldwide oversight of artificial intelligence. The initiative seeks the creation of transparent, equitable, and effective governance frameworks and highlights the necessity of equal rights and opportunities for all countries in the development and governance of AI.

Impact of COVID-19

The COVID-19 pandemic had a positive effect on artificial intelligence in the supply chain market. The use of artificial intelligence in supply chain operations was increasing gradually before the COVID-19 pandemic, with businesses using AI tools for logistics optimization, inventory control, and demand forecasting. On the other hand, the pandemic brought attention to the weaknesses in global supply systems, causing bottlenecks and obstructions. The application of AI to supply chain resilience and risk management has received more attention in the aftermath of the COVID-19 pandemic. Predictive analytics and machine learning are two examples of AI-powered technologies that are being used to improve supply chain operations' visibility, agility, and flexibility so that businesses can react to any disruptions with ease.

Impact of Russia-Ukraine War

The Russia-Ukraine war has made a significant impact on the global supply chain, including artificial intelligence in the supply chain market. Unprecedented supply chain risks in 2022 brought about by the war have caused delays in transit, shortages of essential goods, and disruptions in several different businesses. Global leaders have adopted AI in supply chain management to lessen the effects of the war and enhance visibility, forecasting, and decision-making, but the crisis has spurred innovation. The war has brought attention to the necessity of robust and flexible supply chains, which is propelling the use of AI-powered tools to manage the changing environment and reduce interruptions.

Key Players Landscape and Outlook

The global artificial intelligence in the supply chain market is extremely competitive, with major companies having fierce competition for dominance. One significant player is Amazon.com, Inc., which uses AI to improve its delivery and logistics processes. AI-powered supply chain optimization and predictive analytics solutions are provided by Google, IBM Corporation, and Microsoft Corporation. Coupa Software Inc. offers spend management and procurement solutions powered by AI. The supply chain AI market is expected to grow and see increased industry adoption, according to optimistic projections. It is anticipated that the industry will continue to grow and innovate due to the integration of AI technologies including robotic process automation, machine learning, and natural language processing. These innovations will improve supply chain operations' sustainability, efficiency, and visibility.

In November 2023, SAP SE collaborated with Airbus to use SAP Integrated Business Planning for supply chain to transform industrial planning. Faster, more responsive production planning and increased manufacturing efficiency are possible through greater integration, collaboration, and transparency of cloud solution.

In October 2023, Infor Nexus and LSQ collaborated to extend supply chain finance initiatives and working capital, lowering obstacles for non-US suppliers, and granting early payments to international suppliers via an intuitive platform.

Table of Contents

1. Research Methodology

2. Project Scope & Definitions

3. Impact of COVID-19 on Global Artificial Intelligence in Supply Chain Market

4. Impact of Russia-Ukraine War

5. Executive Summary

6. Voice of Customer

  • 6.1. Product and Market Intelligence
  • 6.2. Mode of Brand Awareness
  • 6.3. Factors Considered in Purchase Decisions
    • 6.3.1. Features and other value-added service
    • 6.3.2. IT Infrastructure Compatibility
    • 6.3.3. Efficiency of Solutions
    • 6.3.4. After-Sales Support
  • 6.4. Consideration of Privacy & Safety Regulations

7. Global Artificial Intelligence in Supply Chain Market Outlook, 2017-2031F

  • 7.1. Market Size & Forecast
    • 7.1.1. By Value
    • 7.1.2. By Volume
  • 7.2. By Component
    • 7.2.1. Hardware
    • 7.2.2. Software
    • 7.2.3. Services
  • 7.3. By Size
    • 7.3.1. Small-scale Business
    • 7.3.2. Mid-scale Business
    • 7.3.3. Large-scale Enterprise
  • 7.4. By Solution Type
    • 7.4.1. Fleet Management
    • 7.4.2. Risk Management
    • 7.4.3. Supply Chain Planning
    • 7.4.4. Warehousing Management
    • 7.4.5. Virtual Assistant
    • 7.4.6. Freight and Shipping Management
    • 7.4.7. Others
  • 7.5. By End-user
    • 7.5.1. Automotive
      • 7.5.1.1. Passenger Vehicles
      • 7.5.1.2. Commercial Vehicles
    • 7.5.2. Healthcare
    • 7.5.3. Aerospace
      • 7.5.3.1. Commercial
      • 7.5.3.2. Military
    • 7.5.4. Manufacturing
    • 7.5.5. Retail
      • 7.5.5.1. Online
      • 7.5.5.2. Offline
    • 7.5.6. Food and Beverages
    • 7.5.7. Others
  • 7.6. By Region
    • 7.6.1. North America
    • 7.6.2. Europe
    • 7.6.3. Asia-Pacific
    • 7.6.4. South America
    • 7.6.5. Middle East and Africa
  • 7.7. By Company Market Share (%), 2023

8. Global Artificial Intelligence in Supply Chain Market Outlook, By Region, 2017-2031F

  • 8.1. North America*
    • 8.1.1. Market Size & Forecast
      • 8.1.1.1. By Value
      • 8.1.1.2. By Volume
    • 8.1.2. By Component
      • 8.1.2.1. Hardware
      • 8.1.2.2. Software
      • 8.1.2.3. Services
    • 8.1.3. By Size
      • 8.1.3.1. Small-scale Business
      • 8.1.3.2. Mid-scale Business
      • 8.1.3.3. Large-scale Enterprise
    • 8.1.4. By Solution Type
      • 8.1.4.1. Fleet Management
      • 8.1.4.2. Risk Management
      • 8.1.4.3. Supply Chain Planning
      • 8.1.4.4. Warehousing Management
      • 8.1.4.5. Virtual Assistant
      • 8.1.4.6. Freight and Shipping Management
      • 8.1.4.7. Others
    • 8.1.5. By End-user
      • 8.1.5.1. Automotive
      • 8.1.5.1.1. Passenger Vehicles
      • 8.1.5.1.2. Commercial Vehicles
      • 8.1.5.2. Healthcare
      • 8.1.5.3. Aerospace
      • 8.1.5.3.1. Commercial
      • 8.1.5.3.2. Military
      • 8.1.5.4. Manufacturing
      • 8.1.5.5. Retail
      • 8.1.5.5.1. Online
      • 8.1.5.5.2. Offline
      • 8.1.5.6. Food and Beverages
      • 8.1.5.7. Others
    • 8.1.6. United States*
      • 8.1.6.1. Market Size & Forecast
      • 8.1.6.1.1. By Value
      • 8.1.6.1.2. By Volume
      • 8.1.6.2. By Component
      • 8.1.6.2.1. Hardware
      • 8.1.6.2.2. Software
      • 8.1.6.2.3. Services
      • 8.1.6.3. By Size
      • 8.1.6.3.1. Small-scale Business
      • 8.1.6.3.2. Mid-scale Business
      • 8.1.6.3.3. Large-scale Enterprise
      • 8.1.6.4. By Solution Type
      • 8.1.6.4.1. Fleet Management
      • 8.1.6.4.2. Risk Management
      • 8.1.6.4.3. Supply Chain Planning
      • 8.1.6.4.4. Warehousing Management
      • 8.1.6.4.5. Virtual Assistant
      • 8.1.6.4.6. Freight and Shipping Management
      • 8.1.6.4.7. Others
      • 8.1.6.5. By End-user
      • 8.1.6.5.1. Automotive
      • 8.1.6.5.1.1. Passenger Vehicles
      • 8.1.6.5.1.2. Commercial Vehicles
      • 8.1.6.5.2. Healthcare
      • 8.1.6.5.3. Aerospace
      • 8.1.6.5.3.1. Commercial
      • 8.1.6.5.3.2. Military
      • 8.1.6.5.4. Manufacturing
      • 8.1.6.5.5. Retail
      • 8.1.6.5.5.1. Online
      • 8.1.6.5.5.2. Offline
      • 8.1.6.5.6. Food and Beverages
      • 8.1.6.5.7. Others
    • 8.1.7. Canada
    • 8.1.8. Mexico

All segments will be provided for all regions and countries covered

  • 8.2. Europe
    • 8.2.1. Germany
    • 8.2.2. France
    • 8.2.3. Italy
    • 8.2.4. United Kingdom
    • 8.2.5. Russia
    • 8.2.6. Netherlands
    • 8.2.7. Spain
    • 8.2.8. Turkey
    • 8.2.9. Poland
  • 8.3. Asia-Pacific
    • 8.3.1. India
    • 8.3.2. China
    • 8.3.3. Japan
    • 8.3.4. Australia
    • 8.3.5. Vietnam
    • 8.3.6. South Korea
    • 8.3.7. Indonesia
    • 8.3.8. Philippines
  • 8.4. South America
    • 8.4.1. Brazil
    • 8.4.2. Argentina
  • 8.5. Middle East & Africa
    • 8.5.1. Saudi Arabia
    • 8.5.2. UAE
    • 8.5.3. South Africa

9. Market Mapping, 2022

  • 9.1. By Component
  • 9.2. By Size
  • 9.3. By Solution Type
  • 9.4. By End-user
  • 9.5. By Region

10. Macro Environment and Industry Structure

  • 10.1. Demand Supply Analysis
  • 10.2. Import Export Analysis
  • 10.3. Value Chain Analysis
  • 10.4. PESTEL Analysis
    • 10.4.1. Political Factors
    • 10.4.2. Economic System
    • 10.4.3. Social Implications
    • 10.4.4. Technological Advancements
    • 10.4.5. Environmental Impacts
    • 10.4.6. Legal Compliances and Regulatory Policies (Statutory Bodies Included)
  • 10.5. Porter's Five Forces Analysis
    • 10.5.1. Supplier Power
    • 10.5.2. Buyer Power
    • 10.5.3. Substitution Threat
    • 10.5.4. Threat from New Entrant
    • 10.5.5. Competitive Rivalry

11. Market Dynamics

  • 11.1. Growth Drivers
  • 11.2. Growth Inhibitors (Challenges and Restraints)

12. Key Players Landscape

  • 12.1. Competition Matrix of Top Five Market Leaders
  • 12.2. Market Revenue Analysis of Top Five Market Leaders (in %, 2023)
  • 12.3. Mergers and Acquisitions/Joint Ventures (If Applicable)
  • 12.4. SWOT Analysis (For Five Market Players)
  • 12.5. Patent Analysis (If Applicable)

13. Pricing Analysis

14. Case Studies

15. Key Players Outlook

  • 15.1. Amazon.com, Inc.
    • 15.1.1. Company Details
    • 15.1.2. Key Management Personnel
    • 15.1.3. Products & Services
    • 15.1.4. Financials (As reported)
    • 15.1.5. Key Market Focus & Geographical Presence
    • 15.1.6. Recent Developments
  • 15.2. Coupa Software Inc.
  • 15.3. DataArt
  • 15.4. Google
  • 15.5. H2O.ai, Inc.
  • 15.6. IBM Corporation
  • 15.7. Infor
  • 15.8. Microsoft Corporation
  • 15.9. Symbotic Inc.
  • 15.10. Uptake Technologies Inc.

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

16. Strategic Recommendations

17. About Us & Disclaimer