2025-2029年全球供应链优化人工智慧市场

全球供应链优化人工智慧市场预计在 2024-2029 年预测期内将达到 158.851 亿美元，复合年增长率为 28.5%。

本报告对全球供应链优化人工智慧市场进行了全面分析，包括市场规模和预测、趋势、成长要素和挑战，以及对约 25 家供应商的分析。

该报告对当前市场状况、最新市场趋势和驱动因素以及整体市场环境进行了最新分析。市场成长的驱动力包括：对提高供应链可视性和灵活性的需求不断增长，这对于降低营运成本和提高效率至关重要；以及人工智慧技术和数据分析能力的快速发展。

本研究采用客观的方法，结合一手和二手讯息，包括来自主要行业相关人员的意见。报告包含全面的市场规模数据、区域細項分析、供应商格局以及对主要企业的分析。报告提供历史数据和预测数据。

该报告指出，生成式人工智慧在供应链营运中的广泛应用是未来几年推动全球供应链优化人工智慧市场成长的关键因素之一。此外，用于增强供应链韧性的先进预测分析技术以及用于实现端到端可视性的人工智慧数位双胞胎的兴起，预计也将显着推动市场需求。

目录

第一章执行摘要

第二章 Technavio 分析

• 价格回应性、生命週期、顾客购买篮子、采纳率和购买标准分析
• 投入与差异化因素的重要性
• 混淆来源
• 驱动因素和挑战的影响

第三章 市场情势

• 市场生态系统
• 市场特征
• 价值链分析

第四章 市场规模

• 市场定义
• 市场区隔分析
• 2024年市场规模
• 2024-2029年市场展望

第五章 市场规模表现

• 2019-2023年全球供应链优化人工智慧市场
• 组件細項分析，2019-2023 年
• 技术细分市场分析，2019-2023年
• 最终用户细分市场分析，2019-2023 年
• 区域细分市场分析，2019-2023年
• 国家细分市场分析，2019-2023年

第六章五力分析

• 五力分析概述
• 买方的议价能力
• 供应商的议价能力
• 新进入者的威胁
• 替代品的威胁
• 竞争威胁
• 市场状况

7. 按组件进行市场细分

• 比较：按组件
• 软体
• 服务
• 硬体
• 按组件分類的市场机会

8. 按技术分類的市场细分

• 比较：按技术
• 机器学习
• 电脑视觉
• 自然语言处理（NLP）
• 其他的
• 科技市场机会

9. 按最终用户进行市场区隔

• 比较：按最终用户
• 零售与电子商务
• 製造业
• 车
• 卫生保健
• 其他的
• 按最终用户分類的市场机会

第十章 客户情况

第十一章 区域情势

• 区域细分
• 区域比较
• 北美洲
  • 美国
  • 加拿大
  • 墨西哥
• 欧洲
  • 德国
  • 英国
  • 法国
  • 义大利
  • 荷兰
  • 西班牙
• 亚太地区
  • 中国
  • 印度
  • 日本
  • 澳洲
  • 韩国
  • 印尼
• 中东和非洲
  • 阿拉伯聯合大公国
  • 沙乌地阿拉伯
  • 南非
  • 土耳其
  • 以色列
• 南美洲
  • 巴西
  • 阿根廷
  • 哥伦比亚
• 各区域的市场机会

第十二章：驱动因素、挑战与机会

• 市场驱动因素
• 市场挑战
• 驱动因素和挑战的影响
• 市场机会

第十三章 竞争格局

• 概述
• 竞争格局
• 令人困惑的局面
• 产业风险

第十四章 竞争分析

• 公司简介
• 企业排名指数
• 公司市场定位
• Amazon Web Services Inc.
• Blue Yonder Group Inc.
• Celonis SE
• Coupa Software Inc.
• Descartes Systems Group Inc.
• Google LLC
• Honeywell International Inc.
• Infor Inc.
• IBM Corp.
• Kinaxis Inc.
• Manhattan Associates Inc.
• Microsoft Corp.
• Oracle Corp.
• SAP SE
• Zebra Technologies Corp.

第十五章附录

The global AI in supply chain optimization market is forecasted to grow by USD 15885.1 mn during 2024-2029, accelerating at a CAGR of 28.5% during the forecast period. The report on the global AI in supply chain optimization market provides a holistic analysis, market size and forecast, trends, growth drivers, and challenges, as well as vendor analysis covering around 25 vendors.

The report offers an up-to-date analysis regarding the current market scenario, the latest trends and drivers, and the overall market environment. The market is driven by increasing demand for enhanced supply chain visibility and agility, imperative to reduce operational costs and improve efficiency, rapid advancements in AI technologies and data analytics capabilities.

The study was conducted using an objective combination of primary and secondary information including inputs from key participants in the industry. The report contains a comprehensive market size data, segment with regional analysis and vendor landscape in addition to an analysis of the key companies. Reports have historic and forecast data.

Technavio's global AI in supply chain optimization market is segmented as below:

By Component

• Software
• Services
• Hardware

By Technology

• Machine learning
• Computer vision
• NLP
• Others

By End-User

• Retail and e-commerce
• Manufacturing
• Automotive
• Healthcare
• Others

Geography

• North America
  • US
  • Canada
  • Mexico
• Europe
  • Germany
  • UK
  • France
  • Italy
  • The Netherlands
  • Spain
• APAC
  • China
  • India
  • Japan
  • Australia
  • South Korea
  • Indonesia
• Middle East and Africa
  • UAE
  • South Africa
  • Turkey
• South America
  • Brazil
  • Argentina
  • Colombia
• Rest of World (ROW)

This study identifies the proliferation of generative AI in supply chain operations as one of the prime reasons driving the global AI in supply chain optimization market growth during the next few years. Also, advanced predictive analytics for enhanced supply chain resilience and rise of ai-powered digital twins for end-to-end visibility will lead to sizable demand in the market.

The report on the global AI in supply chain optimization market covers the following areas:

• Global AI in supply chain optimization market sizing
• Global AI in supply chain optimization market forecast
• Global AI in supply chain optimization market industry analysis

The robust vendor analysis is designed to help clients improve their market position, and in line with this, this report provides a detailed analysis of several leading global AI in supply chain optimization market vendors that include Amazon Web Services Inc., Blue Yonder Group Inc., Celonis SE, Coupa Software Inc., Descartes Systems Group Inc., Fourkites Inc., Google LLC, Honeywell International Inc., Infor Inc., IBM Corp., Kinaxis Inc., Manhattan Associates Inc., Microsoft Corp., Oracle Corp., PTC Inc., SAP SE, Zebra Technologies Corp.. Also, the global AI in supply chain optimization market analysis report includes information on upcoming trends and challenges that will influence market growth. This is to help companies strategize and leverage all forthcoming growth opportunities.

The publisher presents a detailed picture of the market by the way of study, synthesis, and summation of data from multiple sources by an analysis of key parameters such as profit, pricing, competition, and promotions. It presents various market facets by identifying the key industry influencers. The data presented is comprehensive, reliable, and a result of extensive primary and secondary research. The market research reports provide a complete competitive landscape and an in-depth vendor selection methodology and analysis using qualitative and quantitative research to forecast accurate market growth.

Table of Contents

1 Executive Summary

• 1.1 Market overview
  • Executive Summary - Chart on Market Overview
  • Executive Summary - Data Table on Market Overview
  • Executive Summary - Chart on Global Market Characteristics
  • Executive Summary - Chart on Market by Geography
  • Executive Summary - Chart on Market Segmentation by Component
  • Executive Summary - Chart on Market Segmentation by Technology
  • Executive Summary - Chart on Market Segmentation by End-user
  • Executive Summary - Chart on Incremental Growth
  • Executive Summary - Data Table on Incremental Growth
  • Executive Summary - Chart on Company Market Positioning

2 Technavio Analysis

• 2.1 Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
  • Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
• 2.2 Criticality of inputs and Factors of differentiation
• 2.3 Factors of disruption
• 2.4 Impact of drivers and challenges

3 Market Landscape

• 3.1 Market ecosystem
• 3.2 Market characteristics
• 3.3 Value chain analysis

4 Market Sizing

• 4.1 Market definition
• 4.2 Market segment analysis
  • Market segments
• 4.3 Market size 2024
• 4.4 Market outlook: Forecast for 2024-2029

5 Historic Market Size

• 5.1 Global AI In Supply Chain Optimization Market 2019 - 2023
  • Historic Market Size - Data Table on Global AI In Supply Chain Optimization Market 2019 - 2023 ($ million)
• 5.2 Component segment analysis 2019 - 2023
  • Historic Market Size - Component Segment 2019 - 2023 ($ million)
• 5.3 Technology segment analysis 2019 - 2023
  • Historic Market Size - Technology Segment 2019 - 2023 ($ million)
• 5.4 End-user segment analysis 2019 - 2023
  • Historic Market Size - End-user Segment 2019 - 2023 ($ million)
• 5.5 Geography segment analysis 2019 - 2023
  • Historic Market Size - Geography Segment 2019 - 2023 ($ million)
• 5.6 Country segment analysis 2019 - 2023
  • Historic Market Size - Country Segment 2019 - 2023 ($ million)

6 Five Forces Analysis

• 6.1 Five forces summary
  • Five forces analysis - Comparison between 2024 and 2029
• 6.2 Bargaining power of buyers
  • Bargaining power of buyers - Impact of key factors 2024 and 2029
• 6.3 Bargaining power of suppliers
  • Bargaining power of suppliers - Impact of key factors in 2024 and 2029
• 6.4 Threat of new entrants
  • Threat of new entrants - Impact of key factors in 2024 and 2029
• 6.5 Threat of substitutes
  • Threat of substitutes - Impact of key factors in 2024 and 2029
• 6.6 Threat of rivalry
  • Threat of rivalry - Impact of key factors in 2024 and 2029
• 6.7 Market condition

7 Market Segmentation by Component

• 7.1 Market segments
• 7.2 Comparison by Component
• 7.3 Software - Market size and forecast 2024-2029
• 7.4 Services - Market size and forecast 2024-2029
• 7.5 Hardware - Market size and forecast 2024-2029
• 7.6 Market opportunity by Component
  • Market opportunity by Component ($ million)

8 Market Segmentation by Technology

• 8.1 Market segments
• 8.2 Comparison by Technology
• 8.3 Machine learning - Market size and forecast 2024-2029
• 8.4 Computer vision - Market size and forecast 2024-2029
• 8.5 NLP - Market size and forecast 2024-2029
• 8.6 Others - Market size and forecast 2024-2029
• 8.7 Market opportunity by Technology
  • Market opportunity by Technology ($ million)

9 Market Segmentation by End-user

• 9.1 Market segments
• 9.2 Comparison by End-user
• 9.3 Retail and e-commerce - Market size and forecast 2024-2029
• 9.4 Manufacturing - Market size and forecast 2024-2029
• 9.5 Automotive - Market size and forecast 2024-2029
• 9.6 Healthcare - Market size and forecast 2024-2029
• 9.7 Others - Market size and forecast 2024-2029
• 9.8 Market opportunity by End-user
  • Market opportunity by End-user ($ million)

10 Customer Landscape

• 10.1 Customer landscape overview
  • Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria

11 Geographic Landscape

• 11.1 Geographic segmentation
• 11.2 Geographic comparison
• 11.3 North America - Market size and forecast 2024-2029
  • 11.3.1 US - Market size and forecast 2024-2029
  • 11.3.2 Canada - Market size and forecast 2024-2029
  • 11.3.3 Mexico - Market size and forecast 2024-2029
• 11.4 Europe - Market size and forecast 2024-2029
  • 11.4.1 Germany - Market size and forecast 2024-2029
  • 11.4.2 UK - Market size and forecast 2024-2029
  • 11.4.3 France - Market size and forecast 2024-2029
  • 11.4.4 Italy - Market size and forecast 2024-2029
  • 11.4.5 The Netherlands - Market size and forecast 2024-2029
  • 11.4.6 Spain - Market size and forecast 2024-2029
• 11.5 APAC - Market size and forecast 2024-2029
  • 11.5.1 China - Market size and forecast 2024-2029
  • 11.5.2 India - Market size and forecast 2024-2029
  • 11.5.3 Japan - Market size and forecast 2024-2029
  • 11.5.4 Australia - Market size and forecast 2024-2029
  • 11.5.5 South Korea - Market size and forecast 2024-2029
  • 11.5.6 Indonesia - Market size and forecast 2024-2029
• 11.6 Middle East and Africa - Market size and forecast 2024-2029
  • 11.6.1 UAE - Market size and forecast 2024-2029
  • 11.6.2 Saudi Arabia - Market size and forecast 2024-2029
  • 11.6.3 South Africa - Market size and forecast 2024-2029
  • 11.6.4 Turkey - Market size and forecast 2024-2029
  • 11.6.5 Israel - Market size and forecast 2024-2029
• 11.7 South America - Market size and forecast 2024-2029
  • 11.7.1 Brazil - Market size and forecast 2024-2029
  • 11.7.2 Argentina - Market size and forecast 2024-2029
  • 11.7.3 Colombia - Market size and forecast 2024-2029
• 11.8 Market opportunity by geography
  • Market opportunity by geography ($ million)
  • Data Tables on Market opportunity by geography ($ million)

12 Drivers, Challenges, and Opportunity

• 12.1 Market drivers
  • Increasing demand for enhanced supply chain visibility and agility
  • Imperative to reduce operational costs and improve efficiency
  • Rapid advancements in AI technologies and data analytics capabilities
• 12.2 Market challenges
  • Data quality, integration, and security complexities
  • High implementation costs and demonstrating return on investment
  • Pervasive talent shortage and workforce skills gap
• 12.3 Impact of drivers and challenges
  • Impact of drivers and challenges in 2024 and 2029
• 12.4 Market opportunities
  • Proliferation of generative AI in supply chain operations
  • Advanced predictive analytics for enhanced supply chain resilience
  • Rise of AI-powered digital twins for end-to-end visibility

13 Competitive Landscape

• 13.1 Overview
• 13.2 Competitive Landscape
  • Overview on criticality of inputs and factors of differentiation
• 13.3 Landscape disruption
  • Overview on factors of disruption
• 13.4 Industry risks
  • Impact of key risks on business

14 Competitive Analysis

• 14.1 Companies profiled
  • Companies covered
• 14.2 Company ranking index
  • Company ranking index
• 14.3 Market positioning of companies
  • Matrix on companies position and classification
• 14.4 Amazon Web Services Inc.
  • Amazon Web Services Inc. - Overview
  • Amazon Web Services Inc. - Product / Service
  • Amazon Web Services Inc. - Key news
  • Amazon Web Services Inc. - Key offerings
  • SWOT
• 14.5 Blue Yonder Group Inc.
  • Blue Yonder Group Inc. - Overview
  • Blue Yonder Group Inc. - Product / Service
  • Blue Yonder Group Inc. - Key offerings
  • SWOT
• 14.6 Celonis SE
  • Celonis SE - Overview
  • Celonis SE - Product / Service
  • Celonis SE - Key offerings
  • SWOT
• 14.7 Coupa Software Inc.
  • Coupa Software Inc. - Overview
  • Coupa Software Inc. - Product / Service
  • Coupa Software Inc. - Key offerings
  • SWOT
• 14.8 Descartes Systems Group Inc.
  • Descartes Systems Group Inc. - Overview
  • Descartes Systems Group Inc. - Product / Service
  • Descartes Systems Group Inc. - Key offerings
  • SWOT
• 14.9 Google LLC
  • Google LLC - Overview
  • Google LLC - Product / Service
  • Google LLC - Key offerings
  • SWOT
• 14.10 Honeywell International Inc.
  • Honeywell International Inc. - Overview
  • Honeywell International Inc. - Business segments
  • Honeywell International Inc. - Key news
  • Honeywell International Inc. - Key offerings
  • Honeywell International Inc. - Segment focus
  • SWOT
• 14.11 Infor Inc.
  • Infor Inc. - Overview
  • Infor Inc. - Product / Service
  • Infor Inc. - Key news
  • Infor Inc. - Key offerings
  • SWOT
• 14.12 IBM Corp.
  • IBM Corp. - Overview
  • IBM Corp. - Business segments
  • IBM Corp. - Key news
  • IBM Corp. - Key offerings
  • IBM Corp. - Segment focus
  • SWOT
• 14.13 Kinaxis Inc.
  • Kinaxis Inc. - Overview
  • Kinaxis Inc. - Product / Service
  • Kinaxis Inc. - Key news
  • Kinaxis Inc. - Key offerings
  • SWOT
• 14.14 Manhattan Associates Inc.
  • Manhattan Associates Inc. - Overview
  • Manhattan Associates Inc. - Business segments
  • Manhattan Associates Inc. - Key news
  • Manhattan Associates Inc. - Key offerings
  • Manhattan Associates Inc. - Segment focus
  • SWOT
• 14.15 Microsoft Corp.
  • Microsoft Corp. - Overview
  • Microsoft Corp. - Business segments
  • Microsoft Corp. - Key news
  • Microsoft Corp. - Key offerings
  • Microsoft Corp. - Segment focus
  • SWOT
• 14.16 Oracle Corp.
  • Oracle Corp. - Overview
  • Oracle Corp. - Business segments
  • Oracle Corp. - Key news
  • Oracle Corp. - Key offerings
  • Oracle Corp. - Segment focus
  • SWOT
• 14.17 SAP SE
  • SAP SE - Overview
  • SAP SE - Business segments
  • SAP SE - Key news
  • SAP SE - Key offerings
  • SAP SE - Segment focus
  • SWOT
• 14.18 Zebra Technologies Corp.
  • Zebra Technologies Corp. - Overview
  • Zebra Technologies Corp. - Business segments
  • Zebra Technologies Corp. - Key news
  • Zebra Technologies Corp. - Key offerings
  • Zebra Technologies Corp. - Segment focus
  • SWOT

15 Appendix

• 15.1 Scope of the report
  • Market definition
  • Objectives
  • Notes and caveats
• 15.2 Inclusions and exclusions checklist
  • Inclusions checklist
  • Exclusions checklist
• 15.3 Currency conversion rates for US$
  • Currency conversion rates for US$
• 15.4 Research methodology
  • Research methodology
• 15.5 Data procurement
  • Information sources
• 15.6 Data validation
  • Data validation
• 15.7 Validation techniques employed for market sizing
  • Validation techniques employed for market sizing
• 15.8 Data synthesis
  • Data synthesis
• 15.9 360 degree market analysis
  • 360 degree market analysis
• 15.10 List of abbreviations
  • List of abbreviations