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封面
市場調查報告書
商品編碼
1363954

2023-2030 年全球供應鏈市場人工智慧 (AI)

Global Artificial Intelligence (AI) in Supply Chain Market 2023-2030
出版日期: | 出版商: Orion Market Research | 英文 195 Pages | 商品交期: 2-3個工作天內

價格

預計在預測期（2023-2030 年），全球供應鏈人工智慧市場將以 38.8% 的年複合成長率成長。市場的成長歸因於供應鏈中對人工智慧知識的需求不斷增加。對擁有人工智慧技術知識和經驗以及如何將其應用到供應鏈流程的人員的需求不斷增加。公司正在認知到提高員工人工智慧相關技能的必要性。這就需要擁有一支了解人工智慧技術及其在供應鏈營運中的應用的員工隊伍。因此，企業必須提升員工的人工智慧相關能力。因此，市場參與者正在推出新產品，以滿足全球組織增強物流能力的需求。例如，2023 年 5 月，SAP SE 推出了 SAP Business AI，這是其回應。該公司與 Microsoft 合作，將其解決方案與 Microsoft 365 Copilot 和 Azure OpenAI 結合，協助客戶提升物流技能，並讓員工做好應對未來物流挑戰的準備。

細分市場前景

全球供應鏈市場人工智慧按技術、應用和最終用戶進行細分。根據技術，市場細分為機器學習、自然語言處理、上下文感知計算和電腦視覺。根據應用程式，市場細分為車隊管理、供應鏈規劃、倉庫管理、虛擬助理、風險管理、貨運經紀等。此外，根據最終用戶，市場細分為汽車、航空航太、製造、零售、醫療保健、消費品、食品和飲料等。在這些技術中，由於供應鏈組織提供的各種優勢，包括節省成本、降低風險、增強預測、更快交付和改善客戶服務等，因此預計機器學習細分市場將佔據相當大的市場佔有率。

供應鏈規劃預計將在全球供應鏈市場人工智慧中佔據相當大的佔有率

其中，供應鏈規劃細分領域預計將佔據相當大的市場佔有率。該領域的成長可歸因於供應鏈日益複雜。人工智慧透過提供即時可見性和預測分析，在解決這種複雜性方面發揮著至關重要的作用。這種能力使企業能夠在面對高度複雜的全球供應鏈（涉及多個合作夥伴、供應商和物流路線）時做出明智的決策。因此，為了滿足增強供應鏈規劃的需求，市場參與者推出了創新產品。例如，2022年11月，3SC Solutions推出了SCAI（智慧供應鏈規劃和執行平台），幫助企業最佳化其產品和服務的供應鏈。整個平台除了提高效率、提高獲利能力、減少浪費和更永續運作之外，還可以幫助公司創建同步且有彈性的供應鏈。

區域展望

全球供應鏈市場人工智慧根據地理位置進一步細分，包括北美（美國和加拿大）、歐洲（英國、義大利、西班牙、德國、法國和歐洲其他地區）、亞太地區（印度、中國） 、日本、韓國和亞洲其他地區）以及世界其他地區（中東和非洲以及拉丁美洲）。其中，由於深度學習和自然語言處理技術在製造、零售和汽車相關應用中的廣泛出現，預計亞太地區將在全球市場中佔據顯著佔有率。

北美地區全球供應鏈人工智慧市場預計將以顯著的年複合成長率成長

預計北美在預測期內將以相當大的年複合成長率成長。區域成長歸因於路線最佳化。利用有關交通、天氣和運輸成本的即時資訊，機器學習可用於最佳化運輸路線和時間表。這降低了運輸成本並提高了交付可靠性。例如，根據 Cross River Therapy 2023 年 7 月的報導，機器學習是人工智慧的一個子集，涉及訓練演算法以根據資料做出預測或決策。在過去的兩年裡，全球 90% 的資料被創建，而機器學習是分析這些資料的重要工具。

機器學習演算法正在廣泛應用於金融、醫療保健和運輸等多個行業，以提高安全性、效率和客戶體驗。例如，它用於檢測金融領域的詐欺交易、開發醫療保健領域的個人化治療方法以及為交通領域的自動駕駛汽車提供動力。此外，ML 演算法還用於分析 NLP 中的文字資料並產生對客戶情緒的洞察。因此，它已成為許多行業人工智慧應用開發不可或缺的一部分。

目錄

第 1 章：報告摘要

  • 目前行業分析及成長潛力展望
  • 研究方法和工具
  • 市場區隔
    • 按細分
    • 按地區

第 2 章：市場概述與見解

  • 報告範圍
  • 分析師見解和當前市場趨勢
    • 主要發現
    • 建議
    • 結論

第 3 章：競爭格局

  • 主要公司分析
  • Advanced Micro Devices, Inc.
    • 概述
    • 財務分析
    • SWOT分析
    • 最近的發展
  • C3.ai, Inc.
    • 概述
    • 財務分析
    • SWOT分析
    • 最近的發展
  • Coupa Software Inc.
    • 概述
    • 財務分析
    • SWOT分析
    • 最近的發展
  • 關鍵策略分析

第 4 章：市場細分

  • 按技術分類的全球供應鏈市場人工智慧 (AI)
    • 機器學習（ML）
    • 自然語言處理（NLP）
    • 上下文感知計算
    • 電腦視覺
  • 全球供應鏈市場人工智慧（AI）應用
    • 車隊的管理
    • 供應鏈規劃
    • 倉庫管理
    • 虛擬助理
    • 風險管理
    • 貨運經紀
    • 其他（供應商關係管理）
  • 按最終用戶分類的供應鏈市場中的全球人工智慧 (AI)
    • 汽車
    • 航太
    • 製造業
    • 零售
    • 衛生保健
    • 包裝消費品
    • 食品和飲料
    • 其他（化學品、酒店和旅遊業）

第 5 章：區域分析

  • 北美洲
    • 美國
    • 加拿大
  • 歐洲
    • 英國
    • 德國
    • 義大利
    • 西班牙
    • 法國
    • 歐洲其他地區
  • 亞太
    • 中國
    • 印度
    • 日本
    • 韓國
    • 亞太其他地區
  • 世界其他地區

第 6 章：公司簡介

  • 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
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

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)