2025-2029年全球供應鏈最佳化人工智慧市場

全球供應鏈最佳化人工智慧市場預計在 2024-2029 年預測期內將達到 158.851 億美元，複合年成長率為 28.5%。

本報告對全球供應鏈最佳化人工智慧市場進行了全面分析，包括市場規模和預測、趨勢、成長要素和挑戰，以及對約 25 家供應商的分析。

該報告對當前市場狀況、最新市場趨勢和促進因素以及整體市場環境進行了最新分析。市場成長的驅動力包括：對提高供應鏈可視性和靈活性的需求不斷成長，這對於降低營運成本和提高效率至關重要；以及人工智慧技術和數據分析能力的快速發展。

本研究採用客觀的方法，結合一手和二手訊息，包括來自主要行業相關人員的意見。報告包含全面的市場規模數據、區域細分分析、供應商格局以及對主要企業的分析。報告提供歷史數據和預測數據。

該報告指出，生成式人工智慧在供應鏈營運中的廣泛應用是未來幾年推動全球供應鏈最佳化人工智慧市場成長的關鍵因素之一。此外，用於增強供應鏈韌性的先進預測分析技術以及用於實現端到端可視性的人工智慧數位雙胞胎的興起，預計也將顯著推動市場需求。

目錄

第1章執行摘要

第2章 Technavio 分析

• 價格回應性、生命週期、顧客購買籃子、採納率和購買標準分析
• 投入與差異化因素的重要性
• 混淆來源
• 促進因素和挑戰的影響

第3章 市場情勢

• 市場生態系統
• 市場特徵
• 價值鏈分析

第4章 市場規模

• 市場定義
• 市場區隔分析
• 2024年市場規模
• 2024-2029年市場展望

第5章 市場規模表現

• 2019-2023年全球供應鏈最佳化人工智慧市場
• 組件細分分析，2019-2023 年
• 技術細分市場分析，2019-2023年
• 最終用戶細分市場分析，2019-2023 年
• 區域細分市場分析，2019-2023年
• 國家細分市場分析，2019-2023年

第6章五力分析

• 五力分析概述
• 買方的議價能力
• 供應商的議價能力
• 新進入者的威脅
• 替代品的威脅
• 競爭威脅
• 市場狀況

7. 按組件進行市場細分

• 比較：按組件
• 軟體
• 服務
• 硬體
• 按組件分類的市場機會

8. 按技術分類的市場細分

• 比較：按技術
• 機器學習
• 電腦視覺
• 自然語言處理（NLP）
• 其他
• 科技市場機遇

9. 按最終用戶進行市場區隔

• 比較：按最終用戶
• 零售與電子商務
• 製造業
• 車
• 衛生保健
• 其他
• 按最終用戶分類的市場機會

第10章 客戶情況

第11章 區域情勢

• 區域細分
• 區域比較
• 北美洲
  • 美國
  • 加拿大
  • 墨西哥
• 歐洲
  • 德國
  • 英國
  • 法國
  • 義大利
  • 荷蘭
  • 西班牙
• 亞太地區
  • 中國
  • 印度
  • 日本
  • 澳洲
  • 韓國
  • 印尼
• 中東和非洲
  • 阿拉伯聯合大公國
  • 沙烏地阿拉伯
  • 南非
  • 土耳其
  • 以色列
• 南美洲
  • 巴西
  • 阿根廷
  • 哥倫比亞
• 各區域的市場機遇

第12章：促進因素、挑戰與機遇

• 市場促進因素
• 市場挑戰
• 促進因素和挑戰的影響
• 市場機遇

第13章 競爭格局

• 概述
• 競爭格局
• 令人困惑的局面
• 產業風險

第14章 競爭分析

• 公司簡介
• 企業排名指數
• 公司市場定位
• 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15章附錄

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