サプライチェーンにおける人工知能市場：コンポーネント、技術タイプ、展開モード、組織規模、用途、エンドユーザー別-2025-2030年世界予測

サプライチェーンにおける人工知能市場の2024年の市場規模は66億8,000万米ドルで、2025年には80億1,000万米ドル、CAGR 20.46％で成長し、2030年には204億2,000万米ドルに達すると予測されています。

企業の効率性、回復力、戦略的意思決定を促進することで、人工知能がサプライチェーン業務にどのような革命をもたらしているかをご覧くださいです

サプライチェーンプロセスへの人工知能の統合は、企業がロジスティクスネットワークを計画、実行、最適化する方法を再構築しています。機械学習アルゴリズム、自然言語処理、高度なロボット工学を活用することで、意思決定者は現在、需要パターン、在庫レベル、輸送ダイナミクスについて、これまでにない可視性を手に入れることができます。

人工知能の統合を通じて、グローバル・サプライチェーンの青写真を塗り替える極めて重要な技術的・業務的シフトを検証する

過去10年間、企業が競争力を維持するためにデジタル技術を採用するにつれ、サプライチェーンの情勢は激変してきました。今日、人工知能はこうした変化の最前線に立ち、データ主導の意思決定と自律的なオペレーションの新時代を切り開いています。予測分析からコグニティブ・オートメーションに至るまで、ロジスティクスと調達のあり方そのものが、より迅速で無駄のない、弾力性のあるバリューチェーンを実現するために再構築されつつあります。

2025年の米国関税が国境を越えたサプライチェーンの力学をどのように再構築し、オペレーションコストを高騰させ、調達戦略をどのように再定義しているかについての洞察に満ちた分析

2025年に米国が新たな関税を導入したことで、国境を越えた貿易に累積的な影響が生じ、企業は調達戦略やロジスティクス・ネットワークの見直しを迫られています。主要原材料や中間財の関税引き上げは投入コストを増幅させ、企業は代替サプライヤーやニアショアリングの選択肢を模索せざるを得なくなりました。その結果、サプライチェーンの流れは方向転換され、財務的エクスポージャーを軽減するために再設計されました。

サービス、AI技術、導入、企業規模、用途、エンドユーザー産業がサプライチェーンにおけるAI統合をどのように推進するかを明らかにするセグメント分析

セグメンテーション分析により、市場参入企業がAIを活用したサプライチェーン・ソリューションにどのように取り組んでいるか、明確なパターンが明らかになりました。サービスとソリューションのコンポーネントの区別に基づいてオファリングを評価すると、コンサルティング・サービス、展開と統合、サポートとメンテナンスのそれぞれが、プロジェクトのライフサイクル全体にわたって専門的な価値を提供することが明らかになります。並行して、ソリューション・コンポーネントは、データ分析、コグニティブ・オートメーション、統合オーケストレーションのためのターンキー・プラットフォームを提供します。

南北アメリカ、中東・アフリカ、アジア太平洋の各地域が、AIを業務に統合する上でそれぞれ異なる展望とハードルを提供していることに焦点を当てた地域別の洞察

南北アメリカでは、デジタル・インフラへの積極的な投資と、リショアリングと地域流通網の重視によって、サプライチェーンにおける人工知能の導入が推進されています。北米の企業は、AIを活用してラストワンマイルの配送を最適化し、倉庫の自動化を強化し、リアルタイムの需要検知を業務フレームワークに統合しています。ラテンアメリカでは、eコマースの普及とロジスティクスの近代化への取り組みが進み、特にコールドチェーンのモニタリングとリスク管理において、より広範なAIの実験が奨励されています。

企業プロファイルでは、業界の主要企業がどのようにAIを導入してサプライチェーンの効率を高め、競争優位のためのサービス提供を革新しているかを明らかにしています

大手テクノロジーベンダーとロジスティクスプロバイダーは、拡大するサプライチェーンAI市場を獲得するための戦略的イニシアティブを構築しています。IBMやマイクロソフトなどのグローバル企業は、在庫最適化や需要検知に特化したAIモジュールでクラウドプラットフォームを強化し続けています。同様に、アマゾンウェブサービスとグーグルクラウドは、倉庫や輸送ネットワークにおけるリアルタイムの意思決定をサポートするために、エッジコンピューティングとIoT統合に多額の投資を行っています。

サプライチェーンリーダーがAIを導入し、リスクを管理し、イノベーションを促進し、持続可能な効率性と回復力を高めるための実践的な提言

サプライチェーンリーダーは、潜在的な影響と実現可能性に基づいて使用事例に優先順位が付けられるように、中核的なビジネス目標に沿った明確なAI戦略の開発から始めるべきです。需要予測、在庫最適化、予知保全などの取り組みは、多くの場合、迅速なリターンをもたらし、より高度な機能の基盤を提供します。

一次情報と二次情報のデータソース、専門家別検証プロセス、および厳密性を確保するために採用した分析フレームワークを概説する包括的な調査手法

本調査は、サプライチェーン領域におけるAIの包括的な網羅性を確保するため、1次調査と2次調査を厳格に組み合わせたデータ収集手法に依拠しています。1次調査では、業界幹部、サプライチェーン実務者、技術専門家との綿密なインタビューを行い、導入促進要因、ユースケースのパフォーマンス、導入課題に関する生の知見を収集しました。

AIが敏捷性を高め、可視性を改善し、競合優位性を促進すること別、サプライチェーン業務をどのように再構築するかに関する主要な考察

この調査から得られた主な洞察は、サプライチェーン・マネジメントのあらゆる側面における人工知能の変革の可能性を強調しています。予測分析を活用することで、企業は需要の変動、在庫の健全性、物流の混乱に対するかつてない可視性を獲得し、より正確で迅速なオペレーションを可能にしています。

目次

第1章 序文

第2章 調査手法

第3章 エグゼクティブサマリー

第4章 市場の概要

第5章 市場力学

• サプライヤー選定とパフォーマンス評価プロセスを強化する機械学習アルゴリズムの進歩
• サプライチェーン業務におけるラストマイル配送と物流の最適化に対するAIの影響の増大
• 自然言語処理の進歩により、サプライヤーとのよりスマートなコミュニケーションと管理が可能に
• 複雑なサプライチェーンネットワークをシミュレートし最適化するためのAI対応デジタルツインの開発
• AIを活用した高度な予測分析により需要予測と在庫管理を最適化
• 透明で安全なサプライチェーン取引のためのAI対応ブロックチェーンの実装
• より環境に優しく倫理的なサプライチェーンのためのAI支援による持続可能性イニシアチブの開発
• 製造サプライチェーンにおける品質管理と欠陥検出の改善にAIを活用する
• リアルタイムのサプライチェーン監視にAIを統合し、リスク管理と混乱対応を強化
• 倉庫管理と資産追跡におけるAI駆動型自動化の導入

第6章 市場洞察

• ポーターのファイブフォース分析
• PESTEL分析

第7章 米国の関税の累積的な影響2025

第8章 サプライチェーンにおける人工知能市場：コンポーネント別

• サービス
  • コンサルティングサービス
  • 展開と統合
  • サポートとメンテナンス
• ソリューション

第9章 サプライチェーンにおける人工知能市場：技術タイプ別

• ディープラーニング
• 自然言語処理
• ロボティクス・プロセス・オートメーション

第10章 サプライチェーンにおける人工知能市場：展開モード別

• クラウドベース
  • ハイブリッドクラウド
  • プライベートクラウド
  • パブリッククラウド
• オンプレミス
  • データセンター
  • ローカルサーバー

第11章 サプライチェーンにおける人工知能市場：組織規模別

• 大企業
• 中小企業

第12章 サプライチェーンにおける人工知能市場：用途別

• フリート管理
  • 予知保全
  • ルート最適化
• 貨物仲介
• リスク管理
  • コンプライアンス監視
  • サプライヤーリスク評価
• サプライチェーン計画
  • 需要予測
  • 調達最適化
• 倉庫管理
  • 在庫管理
  • 注文履行

第13章 サプライチェーンにおける人工知能市場：エンドユーザー別

• 航空宇宙および防衛
• 自動車
• 化学薬品
• 食品・飲料
• ヘルスケアと医薬品
• 製造業
• 小売・Eコマース
• 運輸・物流

第14章 南北アメリカのサプライチェーンにおける人工知能市場

• 米国
• カナダ
• メキシコ
• ブラジル
• アルゼンチン

第15章 欧州・中東・アフリカのサプライチェーンにおける人工知能市場

• 英国
• ドイツ
• フランス
• ロシア
• イタリア
• スペイン
• アラブ首長国連邦
• サウジアラビア
• 南アフリカ
• デンマーク
• オランダ
• カタール
• フィンランド
• スウェーデン
• ナイジェリア
• エジプト
• トルコ
• イスラエル
• ノルウェー
• ポーランド
• スイス

第16章 アジア太平洋地域のサプライチェーンにおける人工知能市場

• 中国
• インド
• 日本
• オーストラリア
• 韓国
• インドネシア
• タイ
• フィリピン
• マレーシア
• シンガポール
• ベトナム
• 台湾

第17章 競合情勢

• 市場シェア分析, 2024
• FPNVポジショニングマトリックス, 2024
• 競合分析
  • Accenture PLC
  • Alibaba Group
  • Amazon Web Services, Inc.
  • Berkshire Grey, Inc.
  • Blue Yonder Group, Inc.
  • Capgemini SE
  • Cisco Systems, Inc.
  • Coupa Software Inc.
  • Deutsche Post AG
  • e2open, LLC
  • Genpact Limited
  • Google LLC by Alphabet Inc.
  • Infosys Limited
  • Intel Corporation
  • International Business Machines Corporation
  • Kinaxis Inc.
  • Logility Supply Chain Solutions, Inc.
  • Manhattan Associates, Inc.
  • Micron Technology, Inc.
  • Microsoft Corporation
  • NVIDIA Corporation
  • Oracle Corporation
  • RELEX Oy
  • Robert Bosch GmbH
  • Salesforce, Inc.
  • SAP SE
  • Siemens AG
  • Tata Consultancy Services Limited
  • UiPath, Inc.
  • Workday, Inc.

第18章 リサーチAI

第19章 リサーチ統計

第20章 リサーチコンタクト

第21章 リサーチ記事

第22章 付録

LIST OF FIGURES

• FIGURE 1. ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET RESEARCH PROCESS
• FIGURE 2. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, 2018-2030 (USD MILLION)
• FIGURE 3. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY REGION, 2024 VS 2025 VS 2030 (USD MILLION)
• FIGURE 4. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
• FIGURE 5. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY COMPONENT, 2024 VS 2030 (%)
• FIGURE 6. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY COMPONENT, 2024 VS 2025 VS 2030 (USD MILLION)
• FIGURE 7. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY TECHNOLOGY TYPE, 2024 VS 2030 (%)
• FIGURE 8. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY TECHNOLOGY TYPE, 2024 VS 2025 VS 2030 (USD MILLION)
• FIGURE 9. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY DEPLOYMENT MODE, 2024 VS 2030 (%)
• FIGURE 10. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY DEPLOYMENT MODE, 2024 VS 2025 VS 2030 (USD MILLION)
• FIGURE 11. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY ORGANIZATION SIZE, 2024 VS 2030 (%)
• FIGURE 12. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY ORGANIZATION SIZE, 2024 VS 2025 VS 2030 (USD MILLION)
• FIGURE 13. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY APPLICATION, 2024 VS 2030 (%)
• FIGURE 14. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY APPLICATION, 2024 VS 2025 VS 2030 (USD MILLION)
• FIGURE 15. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY END-USER, 2024 VS 2030 (%)
• FIGURE 16. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY END-USER, 2024 VS 2025 VS 2030 (USD MILLION)
• FIGURE 17. AMERICAS ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
• FIGURE 18. AMERICAS ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
• FIGURE 19. UNITED STATES ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY STATE, 2024 VS 2030 (%)
• FIGURE 20. UNITED STATES ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY STATE, 2024 VS 2025 VS 2030 (USD MILLION)
• FIGURE 21. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
• FIGURE 22. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
• FIGURE 23. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
• FIGURE 24. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
• FIGURE 25. ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SHARE, BY KEY PLAYER, 2024
• FIGURE 26. ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET, FPNV POSITIONING MATRIX, 2024
• FIGURE 27. ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET: RESEARCHAI
• FIGURE 28. ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET: RESEARCHSTATISTICS
• FIGURE 29. ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET: RESEARCHCONTACTS
• FIGURE 30. ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET: RESEARCHARTICLES

LIST OF TABLES

• TABLE 1. ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SEGMENTATION & COVERAGE
• TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2024
• TABLE 3. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, 2018-2024 (USD MILLION)
• TABLE 4. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, 2025-2030 (USD MILLION)
• TABLE 5. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY REGION, 2018-2024 (USD MILLION)
• TABLE 6. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY REGION, 2025-2030 (USD MILLION)
• TABLE 7. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 8. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY COUNTRY, 2025-2030 (USD MILLION)
• TABLE 9. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY COMPONENT, 2018-2024 (USD MILLION)
• TABLE 10. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY COMPONENT, 2025-2030 (USD MILLION)
• TABLE 11. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY SERVICES, BY REGION, 2018-2024 (USD MILLION)
• TABLE 12. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY SERVICES, BY REGION, 2025-2030 (USD MILLION)
• TABLE 13. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY CONSULTING SERVICES, BY REGION, 2018-2024 (USD MILLION)
• TABLE 14. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY CONSULTING SERVICES, BY REGION, 2025-2030 (USD MILLION)
• TABLE 15. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY DEPLOYMENT & INTEGRATION, BY REGION, 2018-2024 (USD MILLION)
• TABLE 16. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY DEPLOYMENT & INTEGRATION, BY REGION, 2025-2030 (USD MILLION)
• TABLE 17. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY SUPPORT & MAINTENANCE, BY REGION, 2018-2024 (USD MILLION)
• TABLE 18. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY SUPPORT & MAINTENANCE, BY REGION, 2025-2030 (USD MILLION)
• TABLE 19. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY SERVICES, 2018-2024 (USD MILLION)
• TABLE 20. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY SERVICES, 2025-2030 (USD MILLION)
• TABLE 21. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY SOLUTIONS, BY REGION, 2018-2024 (USD MILLION)
• TABLE 22. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY SOLUTIONS, BY REGION, 2025-2030 (USD MILLION)
• TABLE 23. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY TECHNOLOGY TYPE, 2018-2024 (USD MILLION)
• TABLE 24. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY TECHNOLOGY TYPE, 2025-2030 (USD MILLION)
• TABLE 25. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY DEEP LEARNING, BY REGION, 2018-2024 (USD MILLION)
• TABLE 26. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY DEEP LEARNING, BY REGION, 2025-2030 (USD MILLION)
• TABLE 27. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, BY REGION, 2018-2024 (USD MILLION)
• TABLE 28. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, BY REGION, 2025-2030 (USD MILLION)
• TABLE 29. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY ROBOTICS PROCESS AUTOMATION, BY REGION, 2018-2024 (USD MILLION)
• TABLE 30. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY ROBOTICS PROCESS AUTOMATION, BY REGION, 2025-2030 (USD MILLION)
• TABLE 31. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY DEPLOYMENT MODE, 2018-2024 (USD MILLION)
• TABLE 32. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY DEPLOYMENT MODE, 2025-2030 (USD MILLION)
• TABLE 33. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY CLOUD-BASED, BY REGION, 2018-2024 (USD MILLION)
• TABLE 34. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY CLOUD-BASED, BY REGION, 2025-2030 (USD MILLION)
• TABLE 35. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY HYBRID CLOUD, BY REGION, 2018-2024 (USD MILLION)
• TABLE 36. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY HYBRID CLOUD, BY REGION, 2025-2030 (USD MILLION)
• TABLE 37. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY PRIVATE CLOUD, BY REGION, 2018-2024 (USD MILLION)
• TABLE 38. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY PRIVATE CLOUD, BY REGION, 2025-2030 (USD MILLION)
• TABLE 39. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY PUBLIC CLOUD, BY REGION, 2018-2024 (USD MILLION)
• TABLE 40. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY PUBLIC CLOUD, BY REGION, 2025-2030 (USD MILLION)
• TABLE 41. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY CLOUD-BASED, 2018-2024 (USD MILLION)
• TABLE 42. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY CLOUD-BASED, 2025-2030 (USD MILLION)
• TABLE 43. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY ON-PREMISE, BY REGION, 2018-2024 (USD MILLION)
• TABLE 44. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY ON-PREMISE, BY REGION, 2025-2030 (USD MILLION)
• TABLE 45. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY DATA CENTERS, BY REGION, 2018-2024 (USD MILLION)
• TABLE 46. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY DATA CENTERS, BY REGION, 2025-2030 (USD MILLION)
• TABLE 47. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY LOCAL SERVERS, BY REGION, 2018-2024 (USD MILLION)
• TABLE 48. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY LOCAL SERVERS, BY REGION, 2025-2030 (USD MILLION)
• TABLE 49. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY ON-PREMISE, 2018-2024 (USD MILLION)
• TABLE 50. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY ON-PREMISE, 2025-2030 (USD MILLION)
• TABLE 51. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY ORGANIZATION SIZE, 2018-2024 (USD MILLION)
• TABLE 52. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY ORGANIZATION SIZE, 2025-2030 (USD MILLION)
• TABLE 53. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY LARGE ENTERPRISES, BY REGION, 2018-2024 (USD MILLION)
• TABLE 54. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY LARGE ENTERPRISES, BY REGION, 2025-2030 (USD MILLION)
• TABLE 55. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY SMALL & MEDIUM ENTERPRISES, BY REGION, 2018-2024 (USD MILLION)
• TABLE 56. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY SMALL & MEDIUM ENTERPRISES, BY REGION, 2025-2030 (USD MILLION)
• TABLE 57. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
• TABLE 58. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY APPLICATION, 2025-2030 (USD MILLION)
• TABLE 59. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY FLEET MANAGEMENT, BY REGION, 2018-2024 (USD MILLION)
• TABLE 60. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY FLEET MANAGEMENT, BY REGION, 2025-2030 (USD MILLION)
• TABLE 61. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY PREDICTIVE MAINTENANCE, BY REGION, 2018-2024 (USD MILLION)
• TABLE 62. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY PREDICTIVE MAINTENANCE, BY REGION, 2025-2030 (USD MILLION)
• TABLE 63. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY ROUTE OPTIMIZATION, BY REGION, 2018-2024 (USD MILLION)
• TABLE 64. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY ROUTE OPTIMIZATION, BY REGION, 2025-2030 (USD MILLION)
• TABLE 65. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY FLEET MANAGEMENT, 2018-2024 (USD MILLION)
• TABLE 66. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY FLEET MANAGEMENT, 2025-2030 (USD MILLION)
• TABLE 67. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY FREIGHT BROKERAGE, BY REGION, 2018-2024 (USD MILLION)
• TABLE 68. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY FREIGHT BROKERAGE, BY REGION, 2025-2030 (USD MILLION)
• TABLE 69. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY RISK MANAGEMENT, BY REGION, 2018-2024 (USD MILLION)
• TABLE 70. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY RISK MANAGEMENT, BY REGION, 2025-2030 (USD MILLION)
• TABLE 71. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY COMPLIANCE MONITORING, BY REGION, 2018-2024 (USD MILLION)
• TABLE 72. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY COMPLIANCE MONITORING, BY REGION, 2025-2030 (USD MILLION)
• TABLE 73. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY SUPPLIER RISK ASSESSMENT, BY REGION, 2018-2024 (USD MILLION)
• TABLE 74. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY SUPPLIER RISK ASSESSMENT, BY REGION, 2025-2030 (USD MILLION)
• TABLE 75. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY RISK MANAGEMENT, 2018-2024 (USD MILLION)
• TABLE 76. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY RISK MANAGEMENT, 2025-2030 (USD MILLION)
• TABLE 77. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY SUPPLY CHAIN PLANNING, BY REGION, 2018-2024 (USD MILLION)
• TABLE 78. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY SUPPLY CHAIN PLANNING, BY REGION, 2025-2030 (USD MILLION)
• TABLE 79. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY DEMAND FORECASTING, BY REGION, 2018-2024 (USD MILLION)
• TABLE 80. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY DEMAND FORECASTING, BY REGION, 2025-2030 (USD MILLION)
• TABLE 81. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY PROCUREMENT OPTIMIZATION, BY REGION, 2018-2024 (USD MILLION)
• TABLE 82. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY PROCUREMENT OPTIMIZATION, BY REGION, 2025-2030 (USD MILLION)
• TABLE 83. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY SUPPLY CHAIN PLANNING, 2018-2024 (USD MILLION)
• TABLE 84. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY SUPPLY CHAIN PLANNING, 2025-2030 (USD MILLION)
• TABLE 85. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY WAREHOUSE MANAGEMENT, BY REGION, 2018-2024 (USD MILLION)
• TABLE 86. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY WAREHOUSE MANAGEMENT, BY REGION, 2025-2030 (USD MILLION)
• TABLE 87. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY INVENTORY MANAGEMENT, BY REGION, 2018-2024 (USD MILLION)
• TABLE 88. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY INVENTORY MANAGEMENT, BY REGION, 2025-2030 (USD MILLION)
• TABLE 89. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY ORDER FULFILLMENT, BY REGION, 2018-2024 (USD MILLION)
• TABLE 90. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY ORDER FULFILLMENT, BY REGION, 2025-2030 (USD MILLION)
• TABLE 91. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY WAREHOUSE MANAGEMENT, 2018-2024 (USD MILLION)
• TABLE 92. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY WAREHOUSE MANAGEMENT, 2025-2030 (USD MILLION)
• TABLE 93. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY END-USER, 2018-2024 (USD MILLION)
• TABLE 94. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY END-USER, 2025-2030 (USD MILLION)
• TABLE 95. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY AEROSPACE & DEFENSE, BY REGION, 2018-2024 (USD MILLION)
• TABLE 96. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY AEROSPACE & DEFENSE, BY REGION, 2025-2030 (USD MILLION)
• TABLE 97. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY AUTOMOTIVE, BY REGION, 2018-2024 (USD MILLION)
• TABLE 98. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY AUTOMOTIVE, BY REGION, 2025-2030 (USD MILLION)
• TABLE 99. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY CHEMICALS, BY REGION, 2018-2024 (USD MILLION)
• TABLE 100. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY CHEMICALS, BY REGION, 2025-2030 (USD MILLION)
• TABLE 101. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY FOOD & BEVERAGES, BY REGION, 2018-2024 (USD MILLION)
• TABLE 102. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY FOOD & BEVERAGES, BY REGION, 2025-2030 (USD MILLION)
• TABLE 103. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY HEALTHCARE AND PHARMACEUTICALS, BY REGION, 2018-2024 (USD MILLION)
• TABLE 104. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY HEALTHCARE AND PHARMACEUTICALS, BY REGION, 2025-2030 (USD MILLION)
• TABLE 105. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY MANUFACTURING, BY REGION, 2018-2024 (USD MILLION)
• TABLE 106. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY MANUFACTURING, BY REGION, 2025-2030 (USD MILLION)
• TABLE 107. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY RETAIL & E-COMMERCE, BY REGION, 2018-2024 (USD MILLION)
• TABLE 108. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY RETAIL & E-COMMERCE, BY REGION, 2025-2030 (USD MILLION)
• TABLE 109. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY TRANSPORTATION & LOGISTICS, BY REGION, 2018-2024 (USD MILLION)
• TABLE 110. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY TRANSPORTATION & LOGISTICS, BY REGION, 2025-2030 (USD MILLION)
• TABLE 111. AMERICAS ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY COMPONENT, 2018-2024 (USD MILLION)
• TABLE 112. AMERICAS ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY COMPONENT, 2025-2030 (USD MILLION)
• TABLE 113. AMERICAS ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY SERVICES, 2018-2024 (USD MILLION)
• TABLE 114. AMERICAS ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY SERVICES, 2025-2030 (USD MILLION)
• TABLE 115. AMERICAS ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY TECHNOLOGY TYPE, 2018-2024 (USD MILLION)
• TABLE 116. AMERICAS ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY TECHNOLOGY TYPE, 2025-2030 (USD MILLION)
• TABLE 117. AMERICAS ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY DEPLOYMENT MODE, 2018-2024 (USD MILLION)
• TABLE 118. AMERICAS ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY DEPLOYMENT MODE, 2025-2030 (USD MILLION)
• TABLE 119. AMERICAS ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY CLOUD-BASED, 2018-2024 (USD MILLION)
• TABLE 120. AMERICAS ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY CLOUD-BASED, 2025-2030 (USD MILLION)
• TABLE 121. AMERICAS ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY ON-PREMISE, 2018-2024 (USD MILLION)
• TABLE 122. AMERICAS ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY ON-PREMISE, 2025-2030 (USD MILLION)
• TABLE 123. AMERICAS ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY ORGANIZATION SIZE, 2018-2024 (USD MILLION)
• TABLE 124. AMERICAS ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY ORGANIZATION SIZE, 2025-2030 (USD MILLION)
• TABLE 125. AMERICAS ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
• TABLE 126. AMERICAS ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY APPLICATION, 2025-2030 (USD MILLION)
• TABLE 127. AMERICAS ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY FLEET MANAGEMENT, 2018-2024 (USD MILLION)
• TABLE 128. AMERICAS ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY FLEET MANAGEMENT, 2025-2030 (USD MILLION)
• TABLE 129. AMERICAS ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY RISK MANAGEMENT, 2018-2024 (USD MILLION)
• TABLE 130. AMERICAS ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY RISK MANAGEMENT, 2025-2030 (USD MILLION)
• TABLE 131. AMERICAS ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY SUPPLY CHAIN PLANNING, 2018-2024 (USD MILLION)
• TABLE 132. AMERICAS ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY SUPPLY CHAIN PLANNING, 2025-2030 (USD MILLION)
• TABLE 133. AMERICAS ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY WAREHOUSE MANAGEMENT, 2018-2024 (USD MILLION)
• TABLE 134. AMERICAS ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY WAREHOUSE MANAGEMENT, 2025-2030 (USD MILLION)
• TABLE 135. AMERICAS ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY END-USER, 2018-2024 (USD MILLION)
• TABLE 136. AMERICAS ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY END-USER, 2025-2030 (USD MILLION)
• TABLE 137. AMERICAS ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 138. AMERICAS ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY COUNTRY, 2025-2030 (USD MILLION)
• TABLE 139. UNITED STATES ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY COMPONENT, 2018-2024 (USD MILLION)
• TABLE 140. UNITED STATES ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY COMPONENT, 2025-2030 (USD MILLION)
• TABLE 141. UNITED STATES ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY SERVICES, 2018-2024 (USD MILLION)
• TABLE 142. UNITED STATES ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY SERVICES, 2025-2030 (USD MILLION)
• TABLE 143. UNITED STATES ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY TECHNOLOGY TYPE, 2018-2024 (USD MILLION)
• TABLE 144. UNITED STATES ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY TECHNOLOGY TYPE, 2025-2030 (USD MILLION)
• TABLE 145. UNITED STATES ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY DEPLOYMENT MODE, 2018-2024 (USD MILLION)
• TABLE 146. UNITED STATES ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY DEPLOYMENT MODE, 2025-2030 (USD MILLION)
• TABLE 147. UNITED STATES ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY CLOUD-BASED, 2018-2024 (USD MILLION)
• TABLE 148. UNITED STATES ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY CLOUD-BASED, 2025-2030 (USD MILLION)
• TABLE 149. UNITED STATES ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY ON-PREMISE, 2018-2024 (USD MILLION)
• TABLE 150. UNITED STATES ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY ON-PREMISE, 2025-2030 (USD MILLION)
• TABLE 151. UNITED STATES ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY ORGANIZATION SIZE, 2018-2024 (USD MILLION)
• TABLE 152. UNITED STATES ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY ORGANIZATION SIZE, 2025-2030 (USD MILLION)
• TABLE 153. UNITED STATES ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
• TABLE 154. UNITED STATES ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY APPLICATION, 2025-2030 (USD MILLION)
• TABLE 155. UNITED STATES ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY FLEET MANAGEMENT, 2018-2024 (USD MILLION)
• TABLE 156. UNITED STATES ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY FLEET MANAGEMENT, 2025-2030 (USD MILLION)
• TABLE 157. UNITED STATES ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY RISK MANAGEMENT, 2018-2024 (USD MILLION)
• TABLE 158. UNITED STATES ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY RISK MANAGEMENT, 2025-2030 (USD MILLION)
• TABLE 159. UNITED STATES ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY SUPPLY CHAIN PLANNING, 2018-2024 (USD MILLION)
• TABLE 160. UNITED STATES ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY SUPPLY CHAIN PLANNING, 2025-2030 (USD MILLION)
• TABLE 161. UNITED STATES ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY WAREHOUSE MANAGEMENT, 2018-2024 (USD MILLION)
• TABLE 162. UNITED STATES ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY WAREHOUSE MANAGEMENT, 2025-2030 (USD MILLION)
• TABLE 163. UNITED STATES ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY END-USER, 2018-2024 (USD MILLION)
• TABLE 164. UNITED STATES ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY END-USER, 2025-2030 (USD MILLION)
• TABLE 165. UNITED STATES ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY STATE, 2018-2024 (USD MILLION)
• TABLE 166. UNITED STATES ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY STATE, 2025-2030 (USD MILLION)
• TABLE 167. CANADA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY COMPONENT, 2018-2024 (USD MILLION)
• TABLE 168. CANADA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY COMPONENT, 2025-2030 (USD MILLION)
• TABLE 169. CANADA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY SERVICES, 2018-2024 (USD MILLION)
• TABLE 170. CANADA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY SERVICES, 2025-2030 (USD MILLION)
• TABLE 171. CANADA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY TECHNOLOGY TYPE, 2018-2024 (USD MILLION)
• TABLE 172. CANADA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY TECHNOLOGY TYPE, 2025-2030 (USD MILLION)
• TABLE 173. CANADA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY DEPLOYMENT MODE, 2018-2024 (USD MILLION)
• TABLE 174. CANADA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY DEPLOYMENT MODE, 2025-2030 (USD MILLION)
• TABLE 175. CANADA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY CLOUD-BASED, 2018-2024 (USD MILLION)
• TABLE 176. CANADA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY CLOUD-BASED, 2025-2030 (USD MILLION)
• TABLE 177. CANADA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY ON-PREMISE, 2018-2024 (USD MILLION)
• TABLE 178. CANADA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY ON-PREMISE, 2025-2030 (USD MILLION)
• TABLE 179. CANADA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY ORGANIZATION SIZE, 2018-2024 (USD MILLION)
• TABLE 180. CANADA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY ORGANIZATION SIZE, 2025-2030 (USD MILLION)
• TABLE 181. CANADA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
• TABLE 182. CANADA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY APPLICATION, 2025-2030 (USD MILLION)
• TABLE 183. CANADA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY FLEET MANAGEMENT, 2018-2024 (USD MILLION)
• TABLE 184. CANADA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY FLEET MANAGEMENT, 2025-2030 (USD MILLION)
• TABLE 185. CANADA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY RISK MANAGEMENT, 2018-2024 (USD MILLION)
• TABLE 186. CANADA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY RISK MANAGEMENT, 2025-2030 (USD MILLION)
• TABLE 187. CANADA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY SUPPLY CHAIN PLANNING, 2018-2024 (USD MILLION)
• TABLE 188. CANADA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY SUPPLY CHAIN PLANNING, 2025-2030 (USD MILLION)
• TABLE 189. CANADA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY WAREHOUSE MANAGEMENT, 2018-2024 (USD MILLION)
• TABLE 190. CANADA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY WAREHOUSE MANAGEMENT, 2025-2030 (USD MILLION)
• TABLE 191. CANADA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY END-USER, 2018-2024 (USD MILLION)
• TABLE 192. CANADA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY END-USER, 2025-2030 (USD MILLION)
• TABLE 193. MEXICO ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY COMPONENT, 2018-2024 (USD MILLION)
• TABLE 194. MEXICO ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY COMPONENT, 2025-2030 (USD MILLION)
• TABLE 195. MEXICO ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY SERVICES, 2018-2024 (USD MILLION)
• TABLE 196. MEXICO ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY SERVICES, 2025-2030 (USD MILLION)
• TABLE 197. MEXICO ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY TECHNOLOGY TYPE, 2018-2024 (USD MILLION)
• TABLE 198. MEXICO ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY TECHNOLOGY TYPE, 2025-2030 (USD MILLION)
• TABLE 199. MEXICO ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY DEPLOYMENT MODE, 2018-2024 (USD MILLION)
• TABLE 200. MEXICO ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY DEPLOYMENT MODE, 2025-2030 (USD MILLION)
• TABLE 201. MEXICO ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY CLOUD-BASED, 2018-2024 (USD MILLION)
• TABLE 202. MEXICO ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY CLOUD-BASED, 2025-2030 (USD MILLION)
• TABLE 203. MEXICO ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY ON-PREMISE, 2018-2024 (USD MILLION)
• TABLE 204. MEXICO ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY ON-PREMISE, 2025-2030 (USD MILLION)
• TABLE 205. MEXICO ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY ORGANIZATION SIZE, 2018-2024 (USD MILLION)
• TABLE 206. MEXICO ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY ORGANIZATION SIZE, 2025-2030 (USD MILLION)
• TABLE 207. MEXICO ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
• TABLE 208. MEXICO ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY APPLICATION, 2025-2030 (USD MILLION)
• TABLE 209. MEXICO ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY FLEET MANAGEMENT, 2018-2024 (USD MILLION)
• TABLE 210. MEXICO ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY FLEET MANAGEMENT, 2025-2030 (USD MILLION)
• TABLE 211. MEXICO ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY RISK MANAGEMENT, 2018-2024 (USD MILLION)
• TABLE 212. MEXICO ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY RISK MANAGEMENT, 2025-2030 (USD MILLION)
• TABLE 213. MEXICO ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY SUPPLY CHAIN PLANNING, 2018-2024 (USD MILLION)
• TABLE 214. MEXICO ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY SUPPLY CHAIN PLANNING, 2025-2030 (USD MILLION)
• TABLE 215. MEXICO ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY WAREHOUSE MANAGEMENT, 2018-2024 (USD MILLION)
• TABLE 216. MEXICO ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY WAREHOUSE MANAGEMENT, 2025-2030 (USD MILLION)
• TABLE 217. MEXICO ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY END-USER, 2018-2024 (USD MILLION)
• TABLE 218. MEXICO ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY END-USER, 2025-2030 (USD MILLION)
• TABLE 219. BRAZIL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY COMPONENT, 2018-2024 (USD MILLION)
• TABLE 220. BRAZIL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY COMPONENT, 2025-2030 (USD MILLION)
• TABLE 221. BRAZIL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY SERVICES, 2018-2024 (USD MILLION)
• TABLE 222. BRAZIL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY SERVICES, 2025-2030 (USD MILLION)
• TABLE 223. BRAZIL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY TECHNOLOGY TYPE, 2018-2024 (USD MILLION)
• TABLE 224. BRAZIL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY TECHNOLOGY TYPE, 2025-2030 (USD MILLION)
• TABLE 225. BRAZIL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY DEPLOYMENT MODE, 2018-2024 (USD MILLION)
• TABLE 226. BRAZIL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY DEPLOYMENT MODE, 2025-2030 (USD MILLION)
• TABLE 227. BRAZIL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY CLOUD-BASED, 2018-2024 (USD MILLION)
• TABLE 228. BRAZIL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY CLOUD-BASED, 2025-2030 (USD MILLION)
• TABLE 229. BRAZIL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY ON-PREMISE, 2018-2024 (USD MILLION)
• TABLE 230. BRAZIL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY ON-PREMISE, 2025-2030 (USD MILLION)
• TABLE 231. BRAZIL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY ORGANIZATION SIZE, 2018-2024 (USD MILLION)
• TABLE 232. BRAZIL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY ORGANIZATION SIZE, 2025-2030 (USD MILLION)
• TABLE 233. BRAZIL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
• TABLE 234. BRAZIL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY APPLICATION, 2025-2030 (USD MILLION)
• TABLE 235. BRAZIL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY FLEET MANAGEMENT, 2018-2024 (USD MILLION)
• TABLE 236. BRAZIL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY FLEET MANAGEMENT, 2025-2030 (USD MILLION)
• TABLE 237. BRAZIL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY RISK MANAGEMENT, 2018-2024 (USD MILLION)
• TABLE 238. BRAZIL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY RISK MANAGEMENT, 2025-2030 (USD MILLION)
• TABLE 239. BRAZIL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY SUPPLY CHAIN PLANNING, 2018-2024 (USD MILLION)
• TABLE 240. BRAZIL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY SUPPLY CHAIN PLANNING, 2025-2030 (USD MILLION)
• TABLE 241. BRAZIL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY WAREHOUSE MANAGEMENT, 2018-2024 (USD MILLION)
• TABLE 242. BRAZIL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY WAREHOUSE MANAGEMENT, 2025-2030 (USD MILLION)
• TABLE 243. BRAZIL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY END-USER, 2018-2024 (USD MILLION)
• TABLE 244. BRAZIL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY END-USER, 2025-2030 (USD MILLION)
• TABLE 245. ARGENTINA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY COMPONENT, 2018-2024 (USD MILLION)
• TABLE 246. ARGENTINA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY COMPONENT, 2025-2030 (USD MILLION)
• TABLE 247. ARGENTINA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY SERVICES, 2018-2024 (USD MILLION)
• TABLE 248. ARGENTINA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY SERVICES, 2025-2030 (USD MILLION)
• TABLE 249. ARGENTINA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY TECHNOLOGY TYPE, 2018-2024 (USD MILLION)
• TABLE 250. ARGENTINA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY TECHNOLOGY TYPE, 2025-2030 (USD MILLION)
• TABLE 251. ARGENTINA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY DEPLOYMENT MODE, 2018-2024 (USD MILLION)
• TABLE 252. ARGENTINA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY DEPLOYMENT MODE, 2025-2030 (USD MILLION)
• TABLE 253. ARGENTINA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY CLOUD-BASED, 2018-2024 (USD MILLION)
• TABLE 254. ARGENTINA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY CLOUD-BASED, 2025-2030 (USD MILLION)
• TABLE 255. ARGENTINA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY ON-PREMISE, 2018-2024 (USD MILLION)
• TABLE 256. ARGENTINA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY ON-PREMISE, 2025-2030 (USD MILLION)
• TABLE 257. ARGENTINA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY ORGANIZATION SIZE, 2018-2024 (USD MILLION)
• TABLE 258. ARGENTINA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY ORGANIZATION SIZE, 2025-2030 (USD MILLION)
• TABLE 259. ARGENTINA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
• TABLE 260. ARGENTINA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY APPLICATION, 2025-2030 (USD MILLION)
• TABLE 261. ARGENTINA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY FLEET MANAGEMENT, 2018-2024 (USD MILLION)
• TABLE 262. ARGENTINA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY FLEET MANAGEMENT, 2025-2030 (USD MILLION)
• TABLE 263. ARGENTINA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY RISK MANAGEMENT, 2018-2024 (USD MILLION)
• TABLE 264. ARGENTINA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY RISK MANAGEMENT, 2025-2030 (USD MILLION)
• TABLE 265. ARGENTINA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY SUPPLY CHAIN PLANNING, 2018-2024 (USD MILLION)
• TABLE 266. ARGENTINA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY SUPPLY CHAIN PLANNING, 2025-2030 (USD MILLION)
• TABLE 267. ARGENTINA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY WAREHOUSE MANAGEMENT, 2018-2024 (USD MILLION)
• TABLE 268. ARGENTINA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY WAREHOUSE MANAGEMENT, 2025-2030 (USD MILLION)
• TABLE 269. ARGENTINA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY END-USER, 2018-2024 (USD MILLION)
• TABLE 270. ARGENTINA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY END-USER, 2025-2030 (USD MILLION)
• TABLE 271. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY COMPONENT, 2018-2024 (USD MILLION)
• TABLE 272. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY COMPONENT, 2025-2030 (USD MILLION)
• TABLE 273. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY SERVICES, 2018-2024 (USD MILLION)
• TABLE 274. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY SERVICES, 2025-2030 (USD MILLION)
• TABLE 275. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY TECHNOLOGY TYPE, 2018-2024 (USD MILLION)
• TABLE 276. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY TECHNOLOGY TYPE, 2025-2030 (USD MILLION)
• TABLE 277. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY DEPLOYMENT MODE, 2018-2024 (USD MI

The Artificial Intelligence in Supply Chain Market was valued at USD 6.68 billion in 2024 and is projected to grow to USD 8.01 billion in 2025, with a CAGR of 20.46%, reaching USD 20.42 billion by 2030.

Discover how artificial intelligence is revolutionizing supply chain operations by driving efficiency, resilience, and strategic decision-making for enterprises

The integration of artificial intelligence into supply chain processes is reshaping how organizations plan, execute, and optimize their logistics networks. By leveraging machine learning algorithms, natural language processing, and advanced robotics, decision makers now have unprecedented visibility into demand patterns, inventory levels, and transportation dynamics.

Moreover, the convergence of IoT sensors and AI-powered analytics enables real-time tracking of assets from production lines to end customers, illuminating potential disruptions before they cascade into costly delays. Transitioning from reactive to proactive management, companies can now anticipate demand fluctuations, reroute shipments, and allocate resources with precision that was previously unattainable.

Furthermore, AI-driven automation is streamlining labor-intensive tasks such as warehouse sorting, order picking, and freight scheduling. Cognitive computing tools accelerate contract analysis and supplier selection by rapidly evaluating vast datasets, while predictive models guide preventive maintenance and avoid costly equipment failures.

Consequently, organizations embracing these technologies experience significant improvements in operational efficiency, risk mitigation, and strategic agility. As global supply chains grow more complex, the foundational role of artificial intelligence will continue to expand, unlocking new avenues for competitive differentiation and sustainable growth.

In this context, executive teams are increasingly prioritizing AI initiatives as core components of their digital transformation roadmaps. Investments in intelligent planning systems, autonomous vehicles, and AI-enabled collaboration platforms are now critical to sustaining end-to-end supply chain performance and meeting evolving customer expectations.

Examining the pivotal technological and operational shifts rewriting the blueprint of global supply chains through artificial intelligence integration

Over the past decade, the supply chain landscape has undergone seismic shifts as companies adopt digital technologies to remain competitive. Today, artificial intelligence stands at the forefront of these changes, ushering in a new era of data-driven decision making and autonomous operations. From predictive analytics to cognitive automation, the very fabric of logistics and procurement is being rewoven to deliver faster, leaner, and more resilient value chains.

Consequently, predictive and prescriptive analytics have emerged as powerful tools for demand forecasting and inventory optimization. By analyzing historical sales data alongside external factors like weather patterns and economic indicators, AI systems can recommend precise stocking levels and replenishment schedules. This data-centric approach reduces safety stock requirements and minimizes capital tied up in inventory.

Meanwhile, robotics and automation are redefining warehouse and distribution center workflows. Collaborative robots now perform order picking alongside human workers, accelerating throughput while reducing errors. Autonomous guided vehicles transport pallets across complex facilities, eliminating the need for manual towing and supporting continuous operations around the clock.

In parallel, digital twin models are providing virtual replicas of entire supply networks, allowing planners to simulate disruptions and test mitigation strategies before they unfold in the real world. Blockchain integration is enhancing traceability and trust, ensuring that provenance data is immutable and transparent across multi-party ecosystems.

Moreover, these technological advances are driving a profound workforce transformation. As repetitive tasks become automated, supply chain professionals are shifting toward strategic roles that require analytical expertise and cross-functional collaboration. Training programs and talent acquisition strategies are now evolving to bridge emerging skill gaps.

An insightful analysis of how the 2025 United States tariffs are reshaping cross-border supply chain dynamics, escalating operational costs, and redefining sourcing strategies

The introduction of new United States tariffs in 2025 has created a cumulative effect on cross-border trade, prompting organizations to reassess sourcing strategies and logistics networks. Tariff increases on key raw materials and intermediate goods have amplified input costs, compelling companies to explore alternative suppliers and nearshoring options. As a result, supply chain flows have been redirected and redesigned to mitigate financial exposure.

In response, many manufacturers and retailers are deploying AI-driven procurement platforms to rapidly analyze supplier performance, cost structures, and geopolitical risks. These systems can evaluate thousands of supplier profiles against updated tariff schedules, generating optimized sourcing recommendations in real time. Consequently, procurement cycles are shorter and more agile, enabling companies to pivot swiftly when trade policies shift.

Furthermore, transportation algorithms are recalibrating routing decisions to avoid high-tariff corridors. By integrating dynamic tariff data with shipment tracking systems, logistics managers can identify low-cost pathways and adjust carrier selections accordingly. This strategic rerouting not only reduces landed costs but also maintains service levels across global markets.

As tariff pressures persist, organizations are reconfiguring supply bases to localize production and distribution hubs. AI-enabled site selection models assess labor availability, infrastructure quality, and regulatory landscapes to determine optimal facility locations. This analytical rigor ensures that new plants or distribution centers align with long-term cost optimization and risk management objectives.

Ultimately, the combined impact of rising duties and AI adoption is fostering more resilient and flexible supply chains. Companies that harness intelligent analytics and automation are better positioned to absorb policy-induced disruptions and secure competitive advantage in an increasingly volatile trade environment.

Segmentation insights reveal how services, AI technologies, deployment, enterprise size, applications, and end-user industries drive AI integration in supply chains

Segmentation analysis reveals distinct patterns in how market participants engage with AI-enabled supply chain solutions. When evaluating offerings based on component distinctions between services and solutions, it becomes clear that consulting services, deployment and integration, and support and maintenance each deliver specialized value across project lifecycles. In parallel, solutions components provide turnkey platforms for data analytics, cognitive automation, and integration orchestration.

Turning to technology type segmentation, deep learning models are gaining traction for advanced demand forecasting and anomaly detection, while natural language processing tools are streamlining document processing and supplier communication. Robotics process automation is similarly establishing itself as a foundational technology for executing high-volume, rule-based tasks within warehouses and order management systems.

Deployment mode also shapes adoption patterns. Cloud-based environments-spanning hybrid cloud, private cloud, and public cloud-offer scalability and rapid deployment, making them attractive to organizations seeking flexible infrastructure. Conversely, on-premise implementations hosted in data centers or on local servers appeal to companies with stringent security requirements or legacy system dependencies.

Enterprise size further influences solution selection, with large enterprises prioritizing comprehensive enterprise resource planning integration and global visibility, while small and medium enterprises focus on modular, cost-effective platforms that can scale with growth.

Application segmentation underscores how fleet management use cases such as predictive maintenance and route optimization differ from freight brokerage requirements, which emphasize dynamic pricing and capacity matching. Risk management capabilities including compliance monitoring and supplier risk assessment stand apart from supply chain planning functions like demand forecasting and procurement optimization, while warehouse management demands robust inventory management and order fulfillment solutions. In all cases, end-user industries-from aerospace and defense through automotive, chemicals, food and beverages, healthcare and pharmaceuticals, manufacturing, retail and e-commerce, to transportation and logistics-dictate specific functional and performance criteria that drive solution configuration and implementation approaches.

Regional insights spotlighting how the Americas, Europe Middle East and Africa, and Asia-Pacific regions each offer distinct prospects and hurdles in integrating AI across operations

Across the Americas, artificial intelligence adoption in supply chains is being propelled by robust investment in digital infrastructure and a strong emphasis on reshoring and regional distribution networks. Companies in North America are leveraging AI to optimize last-mile delivery, enhance warehouse automation, and integrate real-time demand sensing into their operational frameworks. In Latin America, growing e-commerce penetration and logistics modernization initiatives are encouraging broader AI experimentation, particularly in cold chain monitoring and risk management.

In Europe, Middle East and Africa, regulatory pressures around sustainability and supply chain transparency are accelerating AI-driven traceability solutions. Firms are combining sensor networks with machine learning to monitor emissions, enforce ethical sourcing, and comply with evolving environmental, social and governance mandates. Meanwhile, logistics hubs in the Gulf region are adopting autonomous port operations and AI-enabled customs clearance to streamline complex cross-border flows.

Asia-Pacific markets are experiencing rapid growth in AI-powered supply chain applications, driven by advanced manufacturing centers in China, robotics integration in Japan, and digital logistics platforms in Southeast Asia. Public and private partnerships are funding smart corridor projects that connect production clusters with major ports, underpinned by AI algorithms for capacity planning and predictive maintenance of critical infrastructure.

Transitioning between these regions, global enterprises are developing hybrid network strategies that blend regional strengths with centralized oversight. By leveraging AI analytics platforms, organizations can harmonize data streams across the Americas, EMEA, and Asia-Pacific, creating a unified view of inventory, demand forecasts, and transportation status. This regional balancing act ultimately drives resilience, reduces lead times, and supports strategic growth in diverse market contexts.

Company profiles revealing how top industry players deploy AI to enhance supply chain efficiency and innovate service offerings for competitive advantage

Leading technology vendors and logistics providers are forging strategic initiatives to capture the expanding AI in supply chain market. Global enterprises such as IBM and Microsoft continue to enhance their cloud platforms with specialized AI modules for inventory optimization and demand sensing. Similarly, Amazon Web Services and Google Cloud are investing heavily in edge computing and IoT integrations to support real-time decision making in warehouses and transportation networks.

Enterprise resource planning leaders like SAP and Oracle are embedding AI-driven predictive analytics into core business suites, enabling tighter alignment between procurement, production planning, and distribution. Meanwhile, logistics giants including DHL and Maersk are launching innovation labs to pilot autonomous last-mile solutions, digital twin simulations, and blockchain-enabled freight tracking to elevate service reliability and reduce operational bottlenecks.

In parallel, a wave of specialized startups is emerging to address niche demands such as real-time carbon footprint tracking, AI-assisted supplier qualification, and dynamic pricing optimization for freight brokerage. These agile entrants often partner with established firms to accelerate development cycles and integrate seamlessly into broader supply chain ecosystems.

Collectively, these activities illustrate a vibrant competitive landscape in which established players leverage scale and integration expertise while emerging companies drive focused innovation. Collaboration between technology providers, logistics operators, and end users is critical to developing interoperable solutions that can adapt to evolving market and regulatory requirements.

Practical recommendations to help supply chain leaders implement AI, manage risk, foster innovation, and drive sustainable efficiency and resilience

Supply chain leaders should begin by developing a clear AI strategy aligned with core business objectives, ensuring that use cases are prioritized based on potential impact and feasibility. Initiatives such as demand forecasting, inventory optimization, and predictive maintenance often deliver rapid returns and provide a foundation for more advanced capabilities.

Organizations must also invest in data governance and infrastructure modernization to support AI adoption. Implementing standardized data models and ensuring data quality across procurement, logistics, and manufacturing systems lays the groundwork for reliable analytics and automation. As part of this effort, companies should evaluate deployment options-cloud, on-premise, or hybrid-to balance scalability, security, and compliance requirements.

Furthermore, cultivating cross-functional teams that blend domain expertise with data science skills is crucial. Embedding AI talent within supply chain, IT, and operations units fosters collaboration and enables rapid prototyping of proof of concept pilots. These agile experiments can validate assumptions, refine algorithms, and build stakeholder confidence before scaling solutions enterprise-wide.

Risk management should not be overlooked: integrating AI risk frameworks and continuous monitoring processes helps mitigate biases, cybersecurity vulnerabilities, and model drift. Establishing ethical AI guidelines and governance committees ensures that automation initiatives align with organizational values and regulatory standards.

Finally, companies should adopt a cycle of continuous improvement, leveraging performance metrics to iterate on algorithms and workflows. By measuring outcomes such as cost savings, service level improvements, and lead time reductions, supply chain leaders can create a learning organization that evolves with changing market conditions and technological advances.

Comprehensive research methodology outlining primary and secondary data sources, expert validation processes, and analytical frameworks employed to ensure rigor

This research relies on a rigorous combination of primary and secondary data collection methods to ensure comprehensive coverage of the AI in supply chain domain. Primary research involved in-depth interviews with industry executives, supply chain practitioners, and technology experts to gather firsthand insights on adoption drivers, use case performance, and implementation challenges.

Secondary research encompassed the review of trade journals, white papers, regulatory documents, and corporate disclosures to validate market trends and identify emerging solution providers. Key data sources included publicly available financial filings, patent databases, and industry associations focused on logistics and digital transformation.

Analytical frameworks such as SWOT analysis, Porter's Five Forces, and value chain mapping were employed to assess competitive dynamics and solution positioning. Data triangulation techniques cross-checked multiple information streams to bolster the reliability and accuracy of the findings.

Expert validation sessions were conducted with seasoned supply chain consultants and academic scholars to refine assumptions and interpret complex datasets. This iterative process of feedback and revision ensures that the report's conclusions reflect both practitioner experience and empirical evidence.

In addition, proprietary models were utilized to analyze adoption maturity, technology penetration, and risk factors, providing a structured approach to quantifying readiness levels across different industry segments and geographies.

Key insights on how AI reshapes supply chain operations by boosting agility, improving visibility, and driving competitive advantage

Key insights from this research underscore the transformative potential of artificial intelligence across all facets of supply chain management. By harnessing predictive analytics, organizations are attaining unprecedented visibility into demand fluctuations, inventory health, and logistical disruptions, enabling them to operate with greater precision and speed.

Automation through robotics and autonomous systems is freeing teams from repetitive tasks and allowing them to focus on strategic initiatives. Digital twin and blockchain technologies enhance resilience by simulating disruption scenarios and ensuring data integrity across multi-party networks.

The cumulative impact of new trade policies, particularly the 2025 U.S. tariffs, highlights the imperative for agile and intelligent supply chains. Artificial intelligence platforms equipped with real-time tariff data and advanced optimization algorithms are proving vital in navigating cost pressures and reshaping sourcing networks.

Segmented insights reveal that deployment mode, enterprise size, technology type, and end-user industry each influence adoption trajectories and solution requirements. Meanwhile, regional variations in regulatory landscapes, infrastructure maturity, and investment climates shape market entry strategies and partnership models.

Moving forward, companies that integrate AI into their core operations, build robust data foundations, and foster cross-functional collaboration will secure a competitive advantage. These leaders will set new benchmarks for supply chain agility, sustainability, and customer satisfaction in an increasingly complex global environment.

Table of Contents

1. Preface

• 1.1. Objectives of the Study
• 1.2. Market Segmentation & Coverage
• 1.3. Years Considered for the Study
• 1.4. Currency & Pricing
• 1.5. Language
• 1.6. Stakeholders

2. Research Methodology

• 2.1. Define: Research Objective
• 2.2. Determine: Research Design
• 2.3. Prepare: Research Instrument
• 2.4. Collect: Data Source
• 2.5. Analyze: Data Interpretation
• 2.6. Formulate: Data Verification
• 2.7. Publish: Research Report
• 2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

• 4.1. Introduction
• 4.2. Market Sizing & Forecasting

5. Market Dynamics

• 5.1. Advancement in machine learning algorithms enhacing supplier selection and performance evaluation processes
• 5.2. Increasing impact of AI on optimizing last-mile delivery and logistics in supply chain operations
• 5.3. Advancements in natural language processing enabling smarter supplier communication and management
• 5.4. Development of AI-enabled digital twins to simulate and optimize complex supply chain networks
• 5.5. Advanced predictive analytics powered by AI optimizing demand forecasting and inventory management
• 5.6. Implementing AI-enabled blockchain for transparent and secure supply chain transactions
• 5.7. Developing AI-supported sustainability initiatives for greener and more ethical supply chains
• 5.8. Utilizing AI for improved quality control and defect detection in manufacturing supply chains
• 5.9. AI integration in real-time supply chain monitoring for enhanced risk management and disruption response
• 5.10. Adoption of AI-driven automation in warehouse management and asset tracking

6. Market Insights

• 6.1. Porter's Five Forces Analysis
• 6.2. PESTLE Analysis

7. Cumulative Impact of United States Tariffs 2025

8. Artificial Intelligence in Supply Chain Market, by Component

• 8.1. Introduction
• 8.2. Services
  • 8.2.1. Consulting Services
  • 8.2.2. Deployment & Integration
  • 8.2.3. Support & Maintenance
• 8.3. Solutions

9. Artificial Intelligence in Supply Chain Market, by Technology Type

• 9.1. Introduction
• 9.2. Deep Learning
• 9.3. Natural Language Processing
• 9.4. Robotics Process Automation

10. Artificial Intelligence in Supply Chain Market, by Deployment Mode

• 10.1. Introduction
• 10.2. Cloud-Based
  • 10.2.1. Hybrid Cloud
  • 10.2.2. Private Cloud
  • 10.2.3. Public Cloud
• 10.3. On-Premise
  • 10.3.1. Data Centers
  • 10.3.2. Local Servers

11. Artificial Intelligence in Supply Chain Market, by Organization Size

• 11.1. Introduction
• 11.2. Large Enterprises
• 11.3. Small & Medium Enterprises

12. Artificial Intelligence in Supply Chain Market, by Application

• 12.1. Introduction
• 12.2. Fleet Management
  • 12.2.1. Predictive Maintenance
  • 12.2.2. Route Optimization
• 12.3. Freight Brokerage
• 12.4. Risk Management
  • 12.4.1. Compliance Monitoring
  • 12.4.2. Supplier Risk Assessment
• 12.5. Supply Chain Planning
  • 12.5.1. Demand Forecasting
  • 12.5.2. Procurement Optimization
• 12.6. Warehouse Management
  • 12.6.1. Inventory Management
  • 12.6.2. Order Fulfillment

13. Artificial Intelligence in Supply Chain Market, by End-User

• 13.1. Introduction
• 13.2. Aerospace & Defense
• 13.3. Automotive
• 13.4. Chemicals
• 13.5. Food & Beverages
• 13.6. Healthcare and Pharmaceuticals
• 13.7. Manufacturing
• 13.8. Retail & E-Commerce
• 13.9. Transportation & Logistics

14. Americas Artificial Intelligence in Supply Chain Market

• 14.1. Introduction
• 14.2. United States
• 14.3. Canada
• 14.4. Mexico
• 14.5. Brazil
• 14.6. Argentina

15. Europe, Middle East & Africa Artificial Intelligence in Supply Chain Market

• 15.1. Introduction
• 15.2. United Kingdom
• 15.3. Germany
• 15.4. France
• 15.5. Russia
• 15.6. Italy
• 15.7. Spain
• 15.8. United Arab Emirates
• 15.9. Saudi Arabia
• 15.10. South Africa
• 15.11. Denmark
• 15.12. Netherlands
• 15.13. Qatar
• 15.14. Finland
• 15.15. Sweden
• 15.16. Nigeria
• 15.17. Egypt
• 15.18. Turkey
• 15.19. Israel
• 15.20. Norway
• 15.21. Poland
• 15.22. Switzerland

16. Asia-Pacific Artificial Intelligence in Supply Chain Market

• 16.1. Introduction
• 16.2. China
• 16.3. India
• 16.4. Japan
• 16.5. Australia
• 16.6. South Korea
• 16.7. Indonesia
• 16.8. Thailand
• 16.9. Philippines
• 16.10. Malaysia
• 16.11. Singapore
• 16.12. Vietnam
• 16.13. Taiwan

17. Competitive Landscape

• 17.1. Market Share Analysis, 2024
• 17.2. FPNV Positioning Matrix, 2024
• 17.3. Competitive Analysis
  • 17.3.1. Accenture PLC
  • 17.3.2. Alibaba Group
  • 17.3.3. Amazon Web Services, Inc.
  • 17.3.4. Berkshire Grey, Inc.
  • 17.3.5. Blue Yonder Group, Inc.
  • 17.3.6. Capgemini SE
  • 17.3.7. Cisco Systems, Inc.
  • 17.3.8. Coupa Software Inc.
  • 17.3.9. Deutsche Post AG
  • 17.3.10. e2open, LLC
  • 17.3.11. Genpact Limited
  • 17.3.12. Google LLC by Alphabet Inc.
  • 17.3.13. Infosys Limited
  • 17.3.14. Intel Corporation
  • 17.3.15. International Business Machines Corporation
  • 17.3.16. Kinaxis Inc.
  • 17.3.17. Logility Supply Chain Solutions, Inc.
  • 17.3.18. Manhattan Associates, Inc.
  • 17.3.19. Micron Technology, Inc.
  • 17.3.20. Microsoft Corporation
  • 17.3.21. NVIDIA Corporation
  • 17.3.22. Oracle Corporation
  • 17.3.23. RELEX Oy
  • 17.3.24. Robert Bosch GmbH
  • 17.3.25. Salesforce, Inc.
  • 17.3.26. SAP SE
  • 17.3.27. Siemens AG
  • 17.3.28. Tata Consultancy Services Limited
  • 17.3.29. UiPath, Inc.
  • 17.3.30. Workday, Inc.

18. ResearchAI

19. ResearchStatistics

20. ResearchContacts

21. ResearchArticles

22. Appendix