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封面
市场调查报告书
商品编码
1363954

2023-2030 年全球供应链市场人工智慧 (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个工作天内

价格

预计在预测期（2023-2030 年），全球供应链人工智慧市场将以 38.8% 的复合年增长率成长。市场的成长归因于供应链中对人工智慧知识的需求不断增加。对拥有人工智慧技术知识和经验以及如何将其应用到供应链流程的人员的需求不断增加。公司正在认识到提高员工人工智慧相关技能的必要性。这就需要拥有一支了解人工智慧技术及其在供应链营运中的应用的员工队伍。因此，企业必须提升员工的人工智慧相关能力。因此，市场参与者正在推出新产品，以满足全球组织增强物流能力的需求。例如，2023 年 5 月，SAP SE 推出了 SAP Business AI，这是其回应。该公司与 Microsoft 合作，将其解决方案与 Microsoft 365 Copilot 和 Azure OpenAI 结合，协助客户提升物流技能，并让员工做好应对未来物流挑战的准备。

细分市场前景

全球供应链市场人工智慧按技术、应用和最终用户进行细分。根据技术，市场细分为机器学习、自然语言处理、上下文感知计算和电脑视觉。根据应用程序，市场细分为车队管理、供应链规划、仓库管理、虚拟助理、风险管理、货运经纪等。此外，根据最终用户，市场细分为汽车、航空航太、製造、零售、医疗保健、消费品、食品和饮料等。在这些技术中，由于供应链组织提供的各种优势，包括节省成本、降低风险、增强预测、更快交付和改善客户服务等，因此预计机器学习细分市场将占据相当大的市场份额。

供应链规划预计将在全球供应链市场人工智慧中占据相当大的份额

其中，供应链规划细分领域预计将占据相当大的市场份额。该领域的成长可归因于供应链日益复杂。人工智慧透过提供即时可见性和预测分析，在解决这种复杂性方面发挥着至关重要的作用。这种能力使企业能够在面对高度复杂的全球供应链（涉及多个合作伙伴、供应商和物流路线）时做出明智的决策。因此，为了满足增强供应链规划的需求，市场参与者推出了创新产品。例如，2022年11月，3SC Solutions推出了SCAI（智慧供应链规划和执行平台），帮助企业优化其产品和服务的供应链。整个平台除了提高效率、提高获利能力、减少浪费和更永续运作之外，还可以帮助公司创建同步且有弹性的供应链。

区域展望

全球供应链市场人工智慧根据地理位置进一步细分，包括北美（美国和加拿大）、欧洲（英国、义大利、西班牙、德国、法国和欧洲其他地区）、亚太地区（印度、中国） 、日本、韩国和亚洲其他地区）以及世界其他地区（中东和非洲以及拉丁美洲）。其中，由于深度学习和自然语言处理技术在製造、零售和汽车相关应用中的广泛出现，预计亚太地区将在全球市场中占据显着份额。

北美地区全球供应链人工智慧市场预计将以显着的复合年增长率成长

预计北美在预测期内将以相当大的复合年增长率成长。区域成长归因于路线最佳化。利用有关交通、天气和运输成本的即时信息，机器学习可用于优化运输路线和时间表。这降低了运输成本并提高了交付可靠性。例如，根据 Cross River Therapy 2023 年 7 月的报导，机器学习是人工智慧的一个子集，涉及训练演算法以根据资料做出预测或决策。在过去的两年里，全球 90% 的资料被创建，而机器学习是分析这些资料的重要工具。

机器学习演算法正在广泛应用于金融、医疗保健和运输等多个行业，以提高安全性、效率和客户体验。例如，它用于检测金融领域的诈欺交易、开发医疗保健领域的个人化治疗方法以及为交通领域的自动驾驶汽车提供动力。此外，ML 演算法还用于分析 NLP 中的文字资料并产生对客户情绪的洞察。因此，它已成为许多行业人工智慧应用开发不可或缺的一部分。

目录

第 1 章：报告摘要

  • 目前行业分析及成长潜力展望
  • 研究方法和工具
  • 市场区隔
    • 按细分
    • 按地区

第 2 章：市场概述与见解

  • 报告范围
  • 分析师见解和当前市场趋势
    • 主要发现
    • 建议
    • 结论

第 3 章：竞争格局

  • 主要公司分析
  • Advanced Micro Devices, Inc.
    • 概述
    • 财务分析
    • SWOT分析
    • 最近的发展
  • C3.ai, Inc.
    • 概述
    • 财务分析
    • SWOT分析
    • 最近的发展
  • Coupa Software Inc.
    • 概述
    • 财务分析
    • SWOT分析
    • 最近的发展
  • 关键策略分析

第 4 章：市场细分

  • 按技术分類的全球供应链市场人工智慧 (AI)
    • 机器学习（ML）
    • 自然语言处理（NLP）
    • 上下文感知计算
    • 电脑视觉
  • 全球供应链市场人工智慧（AI）应用
    • 车队的管理
    • 供应链规划
    • 仓库管理
    • 虚拟助理
    • 风险管理
    • 货运经纪
    • 其他（供应商关係管理）
  • 按最终用户分類的供应链市场中的全球人工智慧 (AI)
    • 汽车
    • 航太
    • 製造业
    • 零售
    • 卫生保健
    • 包装消费品
    • 食品和饮料
    • 其他（化学品、酒店和旅游业）

第 5 章：区域分析

  • 北美洲
    • 美国
    • 加拿大
  • 欧洲
    • 英国
    • 德国
    • 义大利
    • 西班牙
    • 法国
    • 欧洲其他地区
  • 亚太
    • 中国
    • 印度
    • 日本
    • 韩国
    • 亚太其他地区
  • 世界其他地区

第 6 章：公司简介

  • 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)