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サプライチェーン向け人工知能（AI）の世界市場：2023-2030年

Global Artificial Intelligence (AI) in Supply Chain Market 2023-2030
出版日: | 発行: Orion Market Research | ページ情報: 英文 195 Pages | 納期: 2～3営業日

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サプライチェーン向け人工知能（AI）の世界市場：2023-2030年
出版日: 2023年09月22日
発行: Orion Market Research
ページ情報: 英文 195 Pages
納期: 2～3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市場は、予測期間中（2023-2030年）にCAGR 38.8%で成長すると予測されています。同市場の成長の背景には、サプライチェーンにおけるAI知識に対する需要の高まりがあります。AI技術とそれをサプライチェーンプロセスに適用する方法に関する知識と経験を有する人材に対するニーズが高まっています。企業は従業員のAI関連スキルを向上させる必要性を認識しています。そのためには、AI技術とそのサプライチェーン業務への応用を理解した人材を確保する必要があります。従って、企業にとっては、AI関連の能力について従業員のスキルアップを図ることが不可欠です。その結果、市場参入企業は世界中の組織の物流能力強化の需要に応える新製品を打ち出しています。例えば、2023年5月、SAP SEはSAP Business AIを発表しました。マイクロソフトとの提携により、SAPは自社のソリューションをMicrosoft 365 CopilotやAzure OpenAIと組み合わせ、顧客のロジスティックスキルの向上や、将来的なロジスティクスの課題に対応できる人材の育成を支援しています。

セグメント別の展望

サプライチェーン計画が世界のサプライチェーン向けAI市場でかなりのシェアを占めると予想される

アプリケーションの中でも、サプライチェーン計画のサブセグメントが市場のかなりのシェアを占めると予想されます。このセグメントの成長は、サプライチェーンの複雑化に起因しています。AIは、リアルタイムの可視性と予測分析を提供することにより、この複雑性に対処する上で重要な役割を果たしています。この機能により、企業は、複数のパートナー、サプライヤー、物流ルートが関与する非常に複雑で世界なサプライチェーンに直面しても、十分な情報に基づいた意思決定を行うことができます。このように、サプライチェーン計画の強化に対する需要に応えるため、市場各社は革新的な製品を投入しています。例えば、3SC Solutionsは2022年11月、SCAI（インテリジェント・サプライチェーン計画・執行プラットフォーム）を発表しました。このプラットフォームは、効率性の向上、収益性の向上、無駄の削減、持続可能な事業運営に加え、同期された強靭なサプライチェーンの構築を支援します。

地域別展望

世界のサプライチェーンAI市場は、北米（米国、カナダ）、欧州（英国、イタリア、スペイン、ドイツ、フランス、その他欧州地域）、アジア太平洋地域（インド、中国、日本、韓国、その他アジア地域）、世界のその他の地域（中東・アフリカ、ラテンアメリカ）を含む地域別にさらに区分されます。このうち、アジア太平洋地域は、製造、小売、自動車関連の用途で深層学習・NLP技術が広く出現していることから、世界市場で突出したシェアを占めると予想されます。

北米地域が世界のサプライチェーン向けAI市場において大幅なCAGRで成長する見込み

北米は予測期間中にかなりのCAGRで成長すると予測されています。この地域の成長はルートの最適化に起因しています。交通、天候、輸送コストに関するリアルタイムの情報を活用し、MLは輸送ルートとスケジュールを最適化するために利用されます。これにより輸送コストが削減され、配送の信頼性が向上します。例えば、クロス・リバー・セラピーによると、2023年7月、MLはデータに基づいて予測や意思決定を行うアルゴリズムを訓練するAIのサブセットです。過去2年間で、世界中のデータの90％が作成され、MLはこれらのデータを分析するための不可欠なツールです。

MLアルゴリズムは、金融・医療・運輸などさまざまな業界で、安全性、効率性、顧客体験を向上させるために利用されています。例えば、金融では不正取引の検知に、ヘルスケアでは個別化治療の開発に、交通では自動運転車の動力源に使われています。さらに、MLアルゴリズムは、NLPでテキストデータを分析し、顧客の感情に関する洞察を得るためにも使われています。このように、MLは多くの業界でAIアプリケーションの開発に不可欠な要素となっています。

目次

第1章 レポート概要

  • 業界の現状分析と成長可能性の展望
  • 調査方法とツール
  • 市場内訳
    • セグメント別
    • 地域別

第2章 市場概要と洞察

  • 調査範囲
  • アナリストの洞察と現在の市場動向
    • 主な調査結果
    • 推奨事項
    • 結論

第3章 競合情勢

  • 主要企業分析
  • Advanced Micro Devices, Inc.
    • 概要
    • 財務分析
    • SWOT分析
    • 最近の動向
  • C3.ai, Inc.
    • 概要
    • 財務分析
    • SWOT分析
    • 最近の動向
  • Coupa Software Inc.
    • 概要
    • 財務分析
    • SWOT分析
    • 最近の動向
  • 主要戦略分析

第4章 市場セグメンテーション

  • 世界のサプライチェーン向け人工知能（AI）市場：技術別
    • 機械学習（ML）
    • 自然言語処理（NLP）
    • コンテキストアウェア・コンピューティング
    • コンピュータビジョン
  • 世界のサプライチェーン向け人工知能（AI）市場：用途別
    • フリート管理
    • 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
    • リスク管理
    • 貨物仲介
    • その他（サプライヤー関係管理）
  • 世界のサプライチェーン向け人工知能（AI）市場：エンドユーザー別
    • 自動車
    • 航空宇宙
    • 製造業
    • 小売業
    • 医療
    • 消費財
    • 飲食品
    • その他（化学、ホスピタリティ、観光）

第5章 地域分析

  • 北米
    • 米国
    • カナダ
  • 欧州
    • 英国
    • ドイツ
    • イタリア
    • スペイン
    • フランス
    • その他欧州
  • アジア太平洋
    • 中国
    • インド
    • 日本
    • 韓国
    • その他アジア太平洋
  • 世界のその他の地域

第6章 企業プロファイル

  • Amazon Web Services, Inc.
  • FedEx Corp.
  • General Electric Co.
  • Google
  • IBM Corp.
  • Intel Corp.
  • Micron Technology, Inc.
  • Microsoft
  • NVIDIA Corp.
  • Oracle Corp.
  • Samsung SDS Co., Ltd.
  • SAP SE
図表

LIST OF TABLES

  • 1. GLOBAL AI IN SUPPLY CHAIN MARKET RESEARCH AND ANALYSIS BY TECHNOLOGY, 2022-2030 ($ MILLION)
  • 2. GLOBAL MACHINE LEARNING IN SUPPLY CHAIN MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 3. GLOBAL NATURAL LANGUAGE PROCESSING IN SUPPLY CHAIN MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 4. GLOBAL CONTEXT-AWARE COMPUTING IN SUPPLY CHAIN MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 5. GLOBAL COMPUTER VISION IN SUPPLY CHAIN MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 6. GLOBAL AI IN SUPPLY CHAIN MARKET RESEARCH AND ANALYSIS BY APPLICATION, 2022-2030 ($ MILLION)
  • 7. GLOBAL AI IN FLEET MANAGEMENT SUPPLY CHAIN MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 8. GLOBAL AI IN SUPPLY CHAIN PLANNING MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 9. GLOBAL AI IN WAREHOUSE MANAGEMENT MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 10. GLOBAL AI IN VIRTUAL ASSISTANT MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 11. GLOBAL AI IN RISK MANAGEMENT MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 12. GLOBAL AI IN FREIGHT BROKERAGE MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 13. GLOBAL AI IN OTHER APPLICATIONS OF SUPPLY CHAIN MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 14. GLOBAL AI IN SUPPLY CHAIN MARKET RESEARCH AND ANALYSIS BY END-USER, 2022-2030 ($ MILLION)
  • 15. GLOBAL AI IN SUPPLY CHAIN OF AUTOMOTIVE MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 16. GLOBAL AI IN SUPPLY CHAIN OF AEROSPACE MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 17. GLOBAL AI IN SUPPLY CHAIN OF MANUFACTURING MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 18. GLOBAL AI IN SUPPLY CHAIN OF RETAIL MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 19. GLOBAL AI IN SUPPLY CHAIN OF HEALTHCARE MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 20. GLOBAL AI IN SUPPLY CHAIN OF CONSUMER-PACKAGED GOODS MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 21. GLOBAL AI IN SUPPLY CHAIN OF FOOD AND BEVERAGES MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 22. GLOBAL AI IN SUPPLY CHAIN OF OTHER END-USERS MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 23. GLOBAL AI IN SUPPLY CHAIN MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 24. NORTH AMERICAN AI IN SUPPLY CHAIN MARKET RESEARCH AND ANALYSIS BY COUNTRY, 2022-2030 ($ MILLION)
  • 25. NORTH AMERICAN AI IN SUPPLY CHAIN MARKET RESEARCH AND ANALYSIS BY TECHNOLOGY, 2022-2030 ($ MILLION)
  • 26. NORTH AMERICAN AI IN SUPPLY CHAIN MARKET RESEARCH AND ANALYSIS BY APPLICATION, 2022-2030 ($ MILLION)
  • 27. NORTH AMERICAN AI IN SUPPLY CHAIN MARKET RESEARCH AND ANALYSIS BY END-USER, 2022-2030 ($ MILLION)
  • 28. EUROPEAN AI IN SUPPLY CHAIN MARKET RESEARCH AND ANALYSIS BY COUNTRY, 2022-2030 ($ MILLION)
  • 29. EUROPEAN AI IN SUPPLY CHAIN MARKET RESEARCH AND ANALYSIS BY TECHNOLOGY, 2022-2030 ($ MILLION)
  • 30. EUROPEAN AI IN SUPPLY CHAIN MARKET RESEARCH AND ANALYSIS BY APPLICATION, 2022-2030 ($ MILLION)
  • 31. EUROPEAN AI IN SUPPLY CHAIN MARKET RESEARCH AND ANALYSIS BY END-USER, 2022-2030 ($ MILLION)
  • 32. ASIA- PACIFIC AI IN SUPPLY CHAIN MARKET RESEARCH AND ANALYSIS BY COUNTRY, 2022-2030 ($ MILLION)
  • 33. ASIA- PACIFIC AI IN SUPPLY CHAIN MARKET RESEARCH AND ANALYSIS BY TECHNOLOGY, 2022-2030 ($ MILLION)
  • 34. ASIA- PACIFIC AI IN SUPPLY CHAIN MARKET RESEARCH AND ANALYSIS BY APPLICATION, 2022-2030 ($ MILLION)
  • 35. ASIA- PACIFIC AI IN SUPPLY CHAIN MARKET RESEARCH AND ANALYSIS BY END-USER, 2022-2030 ($ MILLION)
  • 36. REST OF THE WORLD AI IN SUPPLY CHAIN MARKET RESEARCH AND ANALYSIS BY COUNTRY, 2022-2030 ($ MILLION)
  • 37. REST OF THE WORLD AI IN SUPPLY CHAIN MARKET RESEARCH AND ANALYSIS BY TECHNOLOGY, 2022-2030 ($ MILLION)
  • 38. REST OF THE WORLD AI IN SUPPLY CHAIN MARKET RESEARCH AND ANALYSIS BY APPLICATION, 2022-2030 ($ MILLION)
  • 39. REST OF THE WORLD AI IN SUPPLY CHAIN MARKET RESEARCH AND ANALYSIS BY END-USER, 2022-2030 ($ MILLION)

LIST OF FIGURES

  • 1. GLOBAL AI IN SUPPLY CHAIN MARKET SHARE BY TECHNOLOGY, 2022 VS 2030 (%)
  • 2. GLOBAL MACHINE LEARNING IN SUPPLY CHAIN MARKET SHARE BY REGION, 2022 VS 2030 (%)
  • 3. GLOBAL NATURAL LANGUAGE PROCESSING IN SUPPLY CHAIN MARKET SHARE BY REGION, 2022 VS 2030 (%)
  • 4. GLOBAL CONTEXT-AWARE COMPUTING IN SUPPLY CHAIN MARKET SHARE BY REGION, 2022 VS 2030 (%)
  • 5. GLOBAL COMPUTER VISION IN SUPPLY CHAIN MARKET SHARE BY REGION, 2022 VS 2030 (%)
  • 6. GLOBAL AI IN SUPPLY CHAIN MARKET SHARE BY APPLICATION, 2022 VS 2030 (%)
  • 7. GLOBAL AI IN FLEET MANAGEMENT MARKET SHARE BY REGION, 2022 VS 2030 (%)
  • 8. GLOBAL AI IN SUPPLY CHAIN PLANNING MARKET SHARE BY REGION, 2022 VS 2030 (%)
  • 9. GLOBAL AI IN WAREHOUSE MANAGEMENT MARKET SHARE BY REGION, 2022 VS 2030 (%)
  • 10. GLOBAL AI IN VIRTUAL ASSISTANT MARKET SHARE BY REGION, 2022 VS 2030 (%)
  • 11. GLOBAL AI IN RISK MANAGEMENT MARKET SHARE BY REGION, 2022 VS 2030 (%)
  • 12. GLOBAL AI IN FREIGHT BROKERAGE MARKET SHARE BY REGION, 2022 VS 2030 (%)
  • 13. GLOBAL AI IN SUPPLY CHAIN IN OTHER APPLICATIONS MARKET SHARE BY REGION, 2022 VS 2030 (%)
  • 14. GLOBAL AI IN SUPPLY CHAIN MARKET SHARE ANALYSIS BY END-USER, 2022-2030 ($ MILLION)
  • 15. GLOBAL AI IN SUPPLY CHAIN OF AUTOMOTIVE MARKET SHARE BY REGION, 2022 VS 2030 (%)
  • 16. GLOBAL AI IN SUPPLY CHAIN OF AEROSPACE MARKET SHARE BY REGION, 2022 VS 2030 (%)
  • 17. GLOBAL AI IN SUPPLY CHAIN OF MANUFACTURING MARKET SHARE BY REGION, 2022 VS 2030 (%)
  • 18. GLOBAL AI IN SUPPLY CHAIN OF RETAIL MARKET SHARE BY REGION, 2022 VS 2030 (%)
  • 19. GLOBAL AI IN SUPPLY CHAIN OF HEALTHCARE MARKET SHARE BY REGION, 2022 VS 2030 (%)
  • 20. GLOBAL AI IN SUPPLY CHAIN OF CONSUMER-PACKAGED GOODS MARKET SHARE BY REGION, 2022 VS 2030 (%)
  • 21. GLOBAL AI IN SUPPLY CHAIN OF FOOD AND BEVERAGES MARKET SHARE BY REGION, 2022 VS 2030 (%)
  • 22. GLOBAL AI IN SUPPLY CHAIN OF OTHER END-USERS MARKET SHARE BY REGION, 2022 VS 2030 (%)
  • 23. GLOBAL AI IN SUPPLY CHAIN MARKET SHARE BY REGION, 2022 VS 2030 (%)
  • 24. US AI IN SUPPLY CHAIN MARKET SIZE, 2022-2030 ($ MILLION)
  • 25. CANADA AI IN SUPPLY CHAIN MARKET SIZE, 2022-2030 ($ MILLION)
  • 26. UK AI IN SUPPLY CHAIN MARKET SIZE, 2022-2030 ($ MILLION)
  • 27. FRANCE AI IN SUPPLY CHAIN MARKET SIZE, 2022-2030 ($ MILLION)
  • 28. GERMANY AI IN SUPPLY CHAIN MARKET SIZE, 2022-2030 ($ MILLION)
  • 29. ITALY AI IN SUPPLY CHAIN MARKET SIZE, 2022-2030 ($ MILLION)
  • 30. SPAIN AI IN SUPPLY CHAIN MARKET SIZE, 2022-2030 ($ MILLION)
  • 31. REST OF EUROPE AI IN SUPPLY CHAIN MARKET SIZE, 2022-2030 ($ MILLION)
  • 32. INDIA AI IN SUPPLY CHAIN MARKET SIZE, 2022-2030 ($ MILLION)
  • 33. CHINA AI IN SUPPLY CHAIN MARKET SIZE, 2022-2030 ($ MILLION)
  • 34. JAPAN AI IN SUPPLY CHAIN MARKET SIZE, 2022-2030 ($ MILLION)
  • 35. SOUTH KOREA AI IN SUPPLY CHAIN MARKET SIZE, 2022-2030 ($ MILLION)
  • 36. REST OF ASIA-PACIFIC AI IN SUPPLY CHAIN MARKET SIZE, 2022-2030 ($ MILLION)
  • 37. REST OF THE WORLD AI IN SUPPLY CHAIN MARKET SIZE, 2022-2030 ($ MILLION)
目次
Product Code: OMR2027710

Title: Global AI in Supply Chain Market Size, Share & Trends Analysis Report by Technology (Machine Learning (ML), Natural Language Processing (NLP), Context-Aware Computing, and Computer Vision), by Application (Fleet Management, Supply Chain Planning, Warehouse Management, Virtual Assistant, Risk Management, Freight Brokerage, and Others), and by End-User (Automotive, Aerospace, Manufacturing, Retail, Healthcare, Consumer-packaged Goods, Food and Beverages, and Others),Forecast Period (2023-2030).

The global AI in Supply Chain market is anticipated to grow at a CAGR of 38.8% during the forecast period (2023-2030). The market's growth is attributed to the increasing demand for AI knowledge in supply chain. There is an increased need for personnel who possess knowledge and experience in AI technologies and how to apply them to supply chain processes. Companies are recognizing the necessity of improving the AI-related skills of their employees. This necessitates having a workforce that understands AI technologies and their application in supply chain operations. Thus, it is essential for businesses to upskill their staff in AI-related competencies. As a result, the market players are coming up with new products to cater the demand for enhance their logistical capabilities of the organizations around the globe. For instance, in May 2023, SAP SE launched SAP Business AI, was its response. In partnership with Microsoft, the business combines its solutions with Microsoft 365 Copilot and Azure OpenAI to help clients increase their logistical skills and prepare staff to handle logistical challenges in the future.

Segmental Outlook

The global AI in supply chain market is segmented on the technology, application, and end-user. Based on the technology, the market is sub-segmented into ML, NLP, context-aware computing, and computer vision. Based on the application, the market is sub-segmented into fleet management, supply chain planning, warehouse management, virtual assistant, risk management, freight brokerage, and others. Furthermore, on the basis of end-user, the market is sub-segmented into automotive, aerospace, manufacturing, retail, healthcare, consumer-packaged goods, food and beverages, and others. Among the technology, ML sub-segment is anticipated to hold a considerable share of the market owing to various advantages offered by supply chain organizations, including cost savings, risk reduction, enhanced forecasting, more rapid deliveries, and improved customer service.

Supply Chain Planning is Anticipated to Hold a Considerable Share of the Global AI in Supply Chain Market

Among the application, the supply chain planning sub-segment is expected to hold a considerable share of the market. The growth in this segment can be attributed to the increasing complexity of supply chains. AI plays a crucial role in addressing this complexity by providing real-time visibility and predictive analytics. This capability enables businesses to make well-informed decisions in the face of highly intricate and global supply chains, which involve multiple partners, suppliers, and logistics routes. Thus, to cater to the demand for enhanced supply chain planning, market players have introduced innovative products. For instance, in November 2022, 3SC Solutions launched a SCAI, or intelligent supply chain planning and execution platform, aids companies in optimizing the supply chains for their products and services. The entire platform assists companies in creating synchronized and resilient supply chains in addition to improving efficiency, boosting profitability, cutting waste, and operating more sustainably.

Regional Outlook

The global AI in supply chain market is further segmented based on geography including North America (the US, and Canada), Europe (UK, Italy, Spain, Germany, France, and the Rest of Europe), Asia-Pacific (India, China, Japan, South Korea, and Rest of Asia), and the Rest of the World (the Middle East & Africa, and Latin America). Among these, Asia-Pacific is anticipated to hold a prominent share of the market around the globe, owing to the wide emergence of deep learning and NLP technologies in applications related to manufacturing, retail, and automotive.

The North America Region is Expected to Grow at a Significant CAGR in the Global AI in Supply Chain Market

North America is anticipated to grow at a considerable CAGR over the forecast period. Regional growth is attributed to route optimization. Utilizing real-time information on traffic, weather, and transportation costs, ML is utilized to optimize shipping routes and schedules. This reduces the cost of transportation and improves delivery reliability. For instance, according to Cross River Therapy, in July 2023, ML is a subset of AI that involves training algorithms to make predictions or decisions based on data. Over the past two years, 90% of the globe's data has been created, and ML is an essential tool for analyzing this data.

ML algorithms are being used in a variety of industries, including finance, healthcare, and transportation, to improve safety, efficiency, and customer experience. For example, it is used to detect fraudulent transactions in finance, develop personalized treatments in healthcare, and power self-driving cars in transportation. Additionally, ML algorithms are also used to analyze text data in NLP and generate insights into customer sentiment. Thus, it has become an integral part of the development of AI applications in many industries.

Market Players Outlook

The major companies serving the AI in supply chain market include Amazon Web Services, Inc., FedEx Corp., General Electric Co., Google, IBM Corp. and others. The market players are considerably contributing to the market growth by the adoption of various strategies including mergers and acquisitions, partnerships, collaborations, funding, and new product launches, to stay competitive in the market. For instance, in May 2023, Resilinc, partnered with SEMI, the industry association serving the global electronics manufacturing and design supply chain. Through the partnership, Resilinc collaborate with SEMI to provide its more than 2,500 members with resources for achieving greater supply chain visibility and transparency and ultimately enhance the resilience of the entire semiconductor value chain.

The Report Covers:

  • Market value data analysis of 2022 and forecast to 2030.
  • Annualized market revenues ($ million) for each market segment.
  • Country-wise analysis of major geographical regions.
  • Key companies operating in the global AI in supply chain market. Based on the availability of data, information related to new product launches, and relevant news is also available in the report.
  • Analysis of business strategies by identifying the key market segments positioned for strong growth in the future.
  • Analysis of market-entry and market expansion strategies.
  • Competitive strategies by identifying 'who-stands-where' in the market.

Table of Contents

1. Report Summary

  • Current Industry Analysis and Growth Potential Outlook
  • 1.1. Research Methods and Tools
  • 1.2. Market Breakdown
    • 1.2.1. By Segments
    • 1.2.2. By Region

2. Market Overview and Insights

  • 2.1. Scope of the Report
  • 2.2. Analyst Insight & Current Market Trends
    • 2.2.1. Key Findings
    • 2.2.2. Recommendations
    • 2.2.3. Conclusion

3. Competitive Landscape

  • 3.1. Key Company Analysis
  • 3.2. Advanced Micro Devices, Inc.
    • 3.2.1. Overview
    • 3.2.2. Financial Analysis
    • 3.2.3. SWOT Analysis
    • 3.2.4. Recent Developments
  • 3.3. C3.ai, Inc.
    • 3.3.1. Overview
    • 3.3.2. Financial Analysis
    • 3.3.3. SWOT Analysis
    • 3.3.4. Recent Developments
  • 3.4. Coupa Software Inc.
    • 3.4.1. Overview
    • 3.4.2. Financial Analysis
    • 3.4.3. SWOT Analysis
    • 3.4.4. Recent Developments
  • 3.5. Key Strategy Analysis

4. Market Segmentation

  • 4.1. Global Artificial Intelligence (AI) in Supply Chain Market by Technology
    • 4.1.1. Machine Learning (ML)
    • 4.1.2. Natural Language Processing (NLP)
    • 4.1.3. Context-Aware Computing
    • 4.1.4. Computer Vision
  • 4.2. Global Artificial Intelligence (AI) in Supply Chain Market by Application
    • 4.2.1. Fleet Management
    • 4.2.2. Supply Chain Planning
    • 4.2.3. Warehouse Management
    • 4.2.4. Virtual Assistant
    • 4.2.5. Risk Management
    • 4.2.6. Freight Brokerage
    • 4.2.7. Others (Supplier Relationship Management)
  • 4.3. Global Artificial Intelligence (AI) in Supply Chain Market by End-User
    • 4.3.1. Automotive
    • 4.3.2. Aerospace
    • 4.3.3. Manufacturing
    • 4.3.4. Retail
    • 4.3.5. Healthcare
    • 4.3.6. Consumer-Packaged Goods
    • 4.3.7. Food and Beverages
    • 4.3.8. Others (Chemicals, Hospitality, and Tourism)

5. Regional Analysis

  • 5.1. North America
    • 5.1.1. United States
    • 5.1.2. Canada
  • 5.2. Europe
    • 5.2.1. UK
    • 5.2.2. Germany
    • 5.2.3. Italy
    • 5.2.4. Spain
    • 5.2.5. France
    • 5.2.6. Rest of Europe
  • 5.3. Asia-Pacific
    • 5.3.1. China
    • 5.3.2. India
    • 5.3.3. Japan
    • 5.3.4. South Korea
    • 5.3.5. Rest of Asia-Pacific
  • 5.4. Rest of the World

6. Company Profiles

  • 6.1. Amazon Web Services, Inc.
  • 6.2. FedEx Corp.
  • 6.3. General Electric Co.
  • 6.4. Google
  • 6.5. IBM Corp.
  • 6.6. Intel Corp.
  • 6.7. Micron Technology, Inc.
  • 6.8. Microsoft
  • 6.9. NVIDIA Corp.
  • 6.10. Oracle Corp.
  • 6.11. Samsung SDS Co., Ltd.
  • 6.12. SAP SE