Hotline: +86-18022463983    020-85206863

Global AI-Driven Supply Chain Optimization Market Research Report 2026

Published Date: 2026-03-12   |   Pages: 112   |   Tables: 116   |  Service & Software

The global AI-Driven Supply Chain Optimization market was valued at US$ 836 million in 2025 and is anticipated to reach US$ 1365 million by 2032, at a CAGR of 7.2% from 2026 to 2032.
AI-Driven Supply Chain Optimization refers to a system of capabilities that intelligently reshape the entire supply chain process using technologies such as machine learning, operations research, computer vision, and natural language processing. Its core lies in using AI algorithms to perceive, predict, and make decisions based on massive amounts of data in real time, thereby dynamically adjusting supply and demand matching, inventory strategies, logistics routes, and production plans. This technology is widely applied in scenarios such as demand forecasting, intelligent warehousing, transportation optimization, supplier risk management, and production-sales collaboration, aiming to significantly improve supply chain responsiveness, reduce operating costs, and enhance resilience against risks.
The AI-Driven Supply Chain Optimization industry is at a critical stage of transitioning from single-point efficiency improvements to global intelligent collaboration. Against the backdrop of increasing fragmentation and uncertainty in global supply chains, enterprises are shifting from pursuing low costs to pursuing high resilience, driving the accelerated penetration of AI technology. The core industry trend is the widespread adoption of the "supply chain control tower," which utilizes digital twins and machine learning to achieve end-to-end visualization and dynamic decision-making from demand perception to logistics fulfillment. Simultaneously, generative AI is beginning to be applied to supply chain contingency planning and automated contract review, significantly improving the response speed to sudden disruptions. Despite challenges such as data silos and model generalization capabilities, artificial intelligence has become a core engine for enterprises to build resilient, agile, and sustainable supply chains.
The North American market for AI-Driven Supply Chain Optimization is projected to increase from US$ million in 2025 to US$ million by 2032, at a CAGR of % over 2026–2032.
The Asia-Pacific market for AI-Driven Supply Chain Optimization is projected to rise from US$ million in 2025 to US$ million by 2032, at a CAGR of % over 2026–2032.
The global market for AI-Driven Supply Chain Optimization in Retail and Consumer Goods Industry is estimated to increase from US$ million in 2025 to US$ million by 2032, at a CAGR of % from 2026 to 2032.
Major global companies of AI-Driven Supply Chain Optimization include Order Grid, o9 Digital Brain, Llamasoft, Blue Yonder, SAP Integrated Business Planning, Oracle SCM Cloud, Huawei Cloud, Alibaba Cloud, JD.com, FourKites, etc. In 2025, the world's top three vendors accounted for approximately % of revenue.
This report delivers a comprehensive overview of the global AI-Driven Supply Chain Optimization market, with both quantitative and qualitative analyses, to help readers develop growth strategies, assess the competitive landscape, evaluate their position in the current market, and make informed business decisions regarding AI-Driven Supply Chain Optimization. The AI-Driven Supply Chain Optimization market size, estimates, and forecasts are provided in terms of revenue (US$ millions), with 2025 as the base year and historical and forecast data for 2021–2032.
The report segments the global AI-Driven Supply Chain Optimization market comprehensively. Regional market sizes by Type, by Application, by Supply Chain Optimization Goals, and by player are also provided. For deeper insight, the report profiles the competitive landscape, key competitors, and their respective market rankings, and discusses technological trends and new product developments.
This report will assist AI-Driven Supply Chain Optimization manufacturers, new entrants, and companies across the industry value chain with information on revenues, sales volume, and average prices for the overall market and its sub-segments, by company, by Type, by Application, and by region.
Market Segmentation
By Company
Order Grid
o9 Digital Brain
Llamasoft
Blue Yonder
SAP Integrated Business Planning
Oracle SCM Cloud
Huawei Cloud
Alibaba Cloud
JD.com
FourKites
Interos
Project44
ToolsGroup SO99+
IBM Sterling Supply Chain Intelligence Suite
Manhattan Associates
Segment by Type
Machine Learning & Prediction
Natural Language Processing
Computer Vision
Knowledge Graph
Others
Segment by Supply Chain Optimization Goals
Cost Efficiency Optimization
Service Level Optimization
Risk Management Optimization
Agility Optimization
Others
Segment by Supply Chain Process
Demand Forecasting
Procurement & Suppliers
Production & Manufacturing
Warehousing & Inventory
Logistics & Distribution
Segment by Application
Retail and Consumer Goods Industry
Manufacturing and Industrial Products Industry
Pharmaceuticals and Life Sciences Industry
Automotive and Advanced Manufacturing
Fresh Food and Produce Industry
By Region
North America
U.S.
Canada
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia & New Zealand
Rest of Asia
Europe
Germany
France
U.K.
Italy
Ireland
Russia
Rest of Europe
Latin America
Mexico
Brazil
Argentina
Rest of Latin America
Middle East & Africa
Israel
United Arab Emirates (UAE)
Saudi Arabia
Rest of MEA
Chapter Outline
Chapter 1: Defines the scope of the report and presents an executive summary of market segments (by Type, by Application, by Supply Chain Optimization Goals, etc.), including the size of each segment and its future growth potential. It offers a high-level view of the current market and its likely evolution in the short, medium, and long term.
Chapter 2: Summarizes global and regional market size and outlines market dynamics and recent developments, including key drivers, restraints, challenges and risks for industry participants, and relevant policy analysis.
Chapter 3: Provides a detailed view of the competitive landscape for AI-Driven Supply Chain Optimization companies, covering revenue share, development plans, and mergers and acquisitions.
Chapter 4: Analyzes segments by Type, detailing the size and growth potential of each segment to help readers identify blue-ocean opportunities.
Chapter 5: Analyzes segments by Application, detailing the size and growth potential of each downstream segment to help readers identify blue-ocean opportunities.
Chapter 6–10: Regional deep dives (North America, Europe, Asia Pacific, Latin America, Middle East & Africa) broken down by country. Each chapter quantifies market size and growth potential by region and key countries, and outlines market development, outlook, addressable space, and capacity.
Chapter 11: Profiles key players, presenting essential information on leading companies, including product/ service offerings, revenue, gross margin, product introductions/portfolios, recent developments, etc.
Chapter 12: Key findings and conclusions of the report.

Research Methodology

The research methodology employed has been subjected by numerous procedures in order to guarantee the quality and accuracy of the data contained within the reports. The analysts are employed full-time and received more than six months training to satisfy the standard of our company. Our methodology can be divided into five stages:


Stage 1 SECONDARY RESEARCH

The research team first collaborates with magazines, trade associations and administrative departments in the research field. The information provided by our internal documentation service is helpful for our further research. Our team has a wealth of experience and knowledge, and can effectively extract accurate information from existing resources.

 

Stage 2 PRIMARY RESEARCH:INTERVIEWS WITH TRADE SOURCES

After the first stage, the research team conducts a large number of face-to-face or telephone interviews with representative companies working in the research field. Analysts are trying to have an opportunity to talk to leading companies and small companies in the field. Upstream suppliers, manufacturers, distributors, importers, installers, wholesalers and consumers were included in the interview. The data collected during the interview were then carefully examined and compared with the secondary study.

 

Stage 3 ANALYSIS OF THE GATHERED DATA

The analysis team examines and synthesizes the data collected in the first two stages. In order to validate the data, a second round of interviews can be conducted.

 

Stage 4 QUANTITATIVE DATA

The quantitative data such as market estimates, production and capacity of manufacturer, market forecasts and investment feasibility is provided by our company. The data is based on the estimates obtained during stage 3.

 

Stage 5 QUALITY CONTROL

Before publishing, each report undergoes a rigorous review and editing process, which is done by the experience management team to ensure the reliability of the published data. Every analyst on the research team receives support and continuous training as part of our internal quality process.

 

1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global AI-Driven Supply Chain Optimization Market Size Growth Rate by Type: 2021 vs 2025 vs 2032
1.2.2 Machine Learning & Prediction
1.2.3 Natural Language Processing
1.2.4 Computer Vision
1.2.5 Knowledge Graph
1.2.6 Others
1.3 Market by Supply Chain Optimization Goals
1.3.1 Global AI-Driven Supply Chain Optimization Market Size Growth Rate by Supply Chain Optimization Goals: 2021 vs 2025 vs 2032
1.3.2 Cost Efficiency Optimization
1.3.3 Service Level Optimization
1.3.4 Risk Management Optimization
1.3.5 Agility Optimization
1.3.6 Others
1.4 Market by Supply Chain Process
1.4.1 Global AI-Driven Supply Chain Optimization Market Size Growth Rate by Supply Chain Process: 2021 vs 2025 vs 2032
1.4.2 Demand Forecasting
1.4.3 Procurement & Suppliers
1.4.4 Production & Manufacturing
1.4.5 Warehousing & Inventory
1.4.6 Logistics & Distribution
1.5 Market by Application
1.5.1 Global AI-Driven Supply Chain Optimization Market Growth by Application: 2021 vs 2025 vs 2032
1.5.2 Retail and Consumer Goods Industry
1.5.3 Manufacturing and Industrial Products Industry
1.5.4 Pharmaceuticals and Life Sciences Industry
1.5.5 Automotive and Advanced Manufacturing
1.5.6 Fresh Food and Produce Industry
1.6 Assumptions and Limitations
1.7 Study Objectives
1.8 Years Considered
2 Global Growth Trends
2.1 Global AI-Driven Supply Chain Optimization Market Perspective (2021–2032)
2.2 Global AI-Driven Supply Chain Optimization Growth Trends by Region
2.2.1 Global AI-Driven Supply Chain Optimization Market Size by Region: 2021 vs 2025 vs 2032
2.2.2 AI-Driven Supply Chain Optimization Historic Market Size by Region (2021–2026)
2.2.3 AI-Driven Supply Chain Optimization Forecasted Market Size by Region (2027–2032)
2.3 AI-Driven Supply Chain Optimization Market Dynamics
2.3.1 AI-Driven Supply Chain Optimization Industry Trends
2.3.2 AI-Driven Supply Chain Optimization Market Drivers
2.3.3 AI-Driven Supply Chain Optimization Market Challenges
2.3.4 AI-Driven Supply Chain Optimization Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top AI-Driven Supply Chain Optimization Players by Revenue
3.1.1 Global Top AI-Driven Supply Chain Optimization Players by Revenue (2021–2026)
3.1.2 Global AI-Driven Supply Chain Optimization Revenue Market Share by Players (2021–2026)
3.2 Global Top AI-Driven Supply Chain Optimization Players Market Share by Company Tier (Tier 1, Tier 2, Tier 3)
3.3 Global Key Players Ranking by AI-Driven Supply Chain Optimization Revenue
3.4 Global AI-Driven Supply Chain Optimization Market Concentration Ratio
3.4.1 Global AI-Driven Supply Chain Optimization Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by AI-Driven Supply Chain Optimization Revenue in 2025
3.5 Global Key Players of AI-Driven Supply Chain Optimization Head Offices and Areas Served
3.6 Global Key Players of AI-Driven Supply Chain Optimization, Products and Applications
3.7 Global Key Players of AI-Driven Supply Chain Optimization, Date of General Availability (GA)
3.8 Mergers and Acquisitions, Expansion Plans
4 AI-Driven Supply Chain Optimization Breakdown Data by Type
4.1 Global AI-Driven Supply Chain Optimization Historic Market Size by Type (2021–2026)
4.2 Global AI-Driven Supply Chain Optimization Forecasted Market Size by Type (2027–2032)
5 AI-Driven Supply Chain Optimization Breakdown Data by Application
5.1 Global AI-Driven Supply Chain Optimization Historic Market Size by Application (2021–2026)
5.2 Global AI-Driven Supply Chain Optimization Forecasted Market Size by Application (2027–2032)
6 North America
6.1 North America AI-Driven Supply Chain Optimization Market Size (2021–2032)
6.2 North America AI-Driven Supply Chain Optimization Market Growth Rate by Country: 2021 vs 2025 vs 2032
6.3 North America AI-Driven Supply Chain Optimization Market Size by Country (2021–2026)
6.4 North America AI-Driven Supply Chain Optimization Market Size by Country (2027–2032)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe AI-Driven Supply Chain Optimization Market Size (2021–2032)
7.2 Europe AI-Driven Supply Chain Optimization Market Growth Rate by Country: 2021 vs 2025 vs 2032
7.3 Europe AI-Driven Supply Chain Optimization Market Size by Country (2021–2026)
7.4 Europe AI-Driven Supply Chain Optimization Market Size by Country (2027–2032)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Ireland
8 Asia-Pacific
8.1 Asia-Pacific AI-Driven Supply Chain Optimization Market Size (2021–2032)
8.2 Asia-Pacific AI-Driven Supply Chain Optimization Market Growth Rate by Region: 2021 vs 2025 vs 2032
8.3 Asia-Pacific AI-Driven Supply Chain Optimization Market Size by Region (2021–2026)
8.4 Asia-Pacific AI-Driven Supply Chain Optimization Market Size by Region (2027–2032)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia & New Zealand
9 Latin America
9.1 Latin America AI-Driven Supply Chain Optimization Market Size (2021–2032)
9.2 Latin America AI-Driven Supply Chain Optimization Market Growth Rate by Country: 2021 vs 2025 vs 2032
9.3 Latin America AI-Driven Supply Chain Optimization Market Size by Country (2021–2026)
9.4 Latin America AI-Driven Supply Chain Optimization Market Size by Country (2027–2032)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa AI-Driven Supply Chain Optimization Market Size (2021–2032)
10.2 Middle East & Africa AI-Driven Supply Chain Optimization Market Growth Rate by Country: 2021 vs 2025 vs 2032
10.3 Middle East & Africa AI-Driven Supply Chain Optimization Market Size by Country (2021–2026)
10.4 Middle East & Africa AI-Driven Supply Chain Optimization Market Size by Country (2027–2032)
10.5 Israel
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Order Grid
11.1.1 Order Grid Company Details
11.1.2 Order Grid Business Overview
11.1.3 Order Grid AI-Driven Supply Chain Optimization Introduction
11.1.4 Order Grid Revenue in AI-Driven Supply Chain Optimization Business (2021–2026)
11.1.5 Order Grid Recent Development
11.2 o9 Digital Brain
11.2.1 o9 Digital Brain Company Details
11.2.2 o9 Digital Brain Business Overview
11.2.3 o9 Digital Brain AI-Driven Supply Chain Optimization Introduction
11.2.4 o9 Digital Brain Revenue in AI-Driven Supply Chain Optimization Business (2021–2026)
11.2.5 o9 Digital Brain Recent Development
11.3 Llamasoft
11.3.1 Llamasoft Company Details
11.3.2 Llamasoft Business Overview
11.3.3 Llamasoft AI-Driven Supply Chain Optimization Introduction
11.3.4 Llamasoft Revenue in AI-Driven Supply Chain Optimization Business (2021–2026)
11.3.5 Llamasoft Recent Development
11.4 Blue Yonder
11.4.1 Blue Yonder Company Details
11.4.2 Blue Yonder Business Overview
11.4.3 Blue Yonder AI-Driven Supply Chain Optimization Introduction
11.4.4 Blue Yonder Revenue in AI-Driven Supply Chain Optimization Business (2021–2026)
11.4.5 Blue Yonder Recent Development
11.5 SAP Integrated Business Planning
11.5.1 SAP Integrated Business Planning Company Details
11.5.2 SAP Integrated Business Planning Business Overview
11.5.3 SAP Integrated Business Planning AI-Driven Supply Chain Optimization Introduction
11.5.4 SAP Integrated Business Planning Revenue in AI-Driven Supply Chain Optimization Business (2021–2026)
11.5.5 SAP Integrated Business Planning Recent Development
11.6 Oracle SCM Cloud
11.6.1 Oracle SCM Cloud Company Details
11.6.2 Oracle SCM Cloud Business Overview
11.6.3 Oracle SCM Cloud AI-Driven Supply Chain Optimization Introduction
11.6.4 Oracle SCM Cloud Revenue in AI-Driven Supply Chain Optimization Business (2021–2026)
11.6.5 Oracle SCM Cloud Recent Development
11.7 Huawei Cloud
11.7.1 Huawei Cloud Company Details
11.7.2 Huawei Cloud Business Overview
11.7.3 Huawei Cloud AI-Driven Supply Chain Optimization Introduction
11.7.4 Huawei Cloud Revenue in AI-Driven Supply Chain Optimization Business (2021–2026)
11.7.5 Huawei Cloud Recent Development
11.8 Alibaba Cloud
11.8.1 Alibaba Cloud Company Details
11.8.2 Alibaba Cloud Business Overview
11.8.3 Alibaba Cloud AI-Driven Supply Chain Optimization Introduction
11.8.4 Alibaba Cloud Revenue in AI-Driven Supply Chain Optimization Business (2021–2026)
11.8.5 Alibaba Cloud Recent Development
11.9 JD.com
11.9.1 JD.com Company Details
11.9.2 JD.com Business Overview
11.9.3 JD.com AI-Driven Supply Chain Optimization Introduction
11.9.4 JD.com Revenue in AI-Driven Supply Chain Optimization Business (2021–2026)
11.9.5 JD.com Recent Development
11.10 FourKites
11.10.1 FourKites Company Details
11.10.2 FourKites Business Overview
11.10.3 FourKites AI-Driven Supply Chain Optimization Introduction
11.10.4 FourKites Revenue in AI-Driven Supply Chain Optimization Business (2021–2026)
11.10.5 FourKites Recent Development
11.11 Interos
11.11.1 Interos Company Details
11.11.2 Interos Business Overview
11.11.3 Interos AI-Driven Supply Chain Optimization Introduction
11.11.4 Interos Revenue in AI-Driven Supply Chain Optimization Business (2021–2026)
11.11.5 Interos Recent Development
11.12 Project44
11.12.1 Project44 Company Details
11.12.2 Project44 Business Overview
11.12.3 Project44 AI-Driven Supply Chain Optimization Introduction
11.12.4 Project44 Revenue in AI-Driven Supply Chain Optimization Business (2021–2026)
11.12.5 Project44 Recent Development
11.13 ToolsGroup SO99+
11.13.1 ToolsGroup SO99+ Company Details
11.13.2 ToolsGroup SO99+ Business Overview
11.13.3 ToolsGroup SO99+ AI-Driven Supply Chain Optimization Introduction
11.13.4 ToolsGroup SO99+ Revenue in AI-Driven Supply Chain Optimization Business (2021–2026)
11.13.5 ToolsGroup SO99+ Recent Development
11.14 IBM Sterling Supply Chain Intelligence Suite
11.14.1 IBM Sterling Supply Chain Intelligence Suite Company Details
11.14.2 IBM Sterling Supply Chain Intelligence Suite Business Overview
11.14.3 IBM Sterling Supply Chain Intelligence Suite AI-Driven Supply Chain Optimization Introduction
11.14.4 IBM Sterling Supply Chain Intelligence Suite Revenue in AI-Driven Supply Chain Optimization Business (2021–2026)
11.14.5 IBM Sterling Supply Chain Intelligence Suite Recent Development
11.15 Manhattan Associates
11.15.1 Manhattan Associates Company Details
11.15.2 Manhattan Associates Business Overview
11.15.3 Manhattan Associates AI-Driven Supply Chain Optimization Introduction
11.15.4 Manhattan Associates Revenue in AI-Driven Supply Chain Optimization Business (2021–2026)
11.15.5 Manhattan Associates Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.1.1 Research Programs/Design
13.1.1.2 Market Size Estimation
13.1.1.3 Market Breakdown and Data Triangulation
13.1.2 Data Source
13.1.2.1 Secondary Sources
13.1.2.2 Primary Sources
13.2 Author Details
13.3 Disclaimer

List of Tables
Table 1. Global AI-Driven Supply Chain Optimization Market Size Growth Rate by Type (US$ Million): 2021 vs 2025 vs 2032
Table 2. Key Players of Machine Learning & Prediction
Table 3. Key Players of Natural Language Processing
Table 4. Key Players of Computer Vision
Table 5. Key Players of Knowledge Graph
Table 6. Key Players of Others
Table 7. Global AI-Driven Supply Chain Optimization Market Size Growth Rate by Supply Chain Optimization Goals (US$ Million): 2021 vs 2025 vs 2032
Table 8. Key Players of Cost Efficiency Optimization
Table 9. Key Players of Service Level Optimization
Table 10. Key Players of Risk Management Optimization
Table 11. Key Players of Agility Optimization
Table 12. Key Players of Others
Table 13. Global AI-Driven Supply Chain Optimization Market Size Growth Rate by Supply Chain Process (US$ Million): 2021 vs 2025 vs 2032
Table 14. Key Players of Demand Forecasting
Table 15. Key Players of Procurement & Suppliers
Table 16. Key Players of Production & Manufacturing
Table 17. Key Players of Warehousing & Inventory
Table 18. Key Players of Logistics & Distribution
Table 19. Global AI-Driven Supply Chain Optimization Market Size Growth by Application (US$ Million): 2021 vs 2025 vs 2032
Table 20. Global AI-Driven Supply Chain Optimization Market Size by Region (US$ Million): 2021 vs 2025 vs 2032
Table 21. Global AI-Driven Supply Chain Optimization Market Size by Region (US$ Million), 2021–2026
Table 22. Global AI-Driven Supply Chain Optimization Market Share by Region (2021–2026)
Table 23. Global AI-Driven Supply Chain Optimization Forecasted Market Size by Region (US$ Million), 2027–2032
Table 24. Global AI-Driven Supply Chain Optimization Market Share by Region (2027–2032)
Table 25. AI-Driven Supply Chain Optimization Market Trends
Table 26. AI-Driven Supply Chain Optimization Market Drivers
Table 27. AI-Driven Supply Chain Optimization Market Challenges
Table 28. AI-Driven Supply Chain Optimization Market Restraints
Table 29. Global AI-Driven Supply Chain Optimization Revenue by Players (US$ Million), 2021–2026
Table 30. Global AI-Driven Supply Chain Optimization Market Share by Players (2021–2026)
Table 31. Global Top AI-Driven Supply Chain Optimization Players by Tier (Tier 1, Tier 2, and Tier 3), based on AI-Driven Supply Chain Optimization Revenue, 2025
Table 32. Ranking of Global Top AI-Driven Supply Chain Optimization Companies by Revenue (US$ Million) in 2025
Table 33. Global 5 Largest Players Market Share by AI-Driven Supply Chain Optimization Revenue (CR5 and HHI), 2021–2026
Table 34. Global Key Players of AI-Driven Supply Chain Optimization, Headquarters and Area Served
Table 35. Global Key Players of AI-Driven Supply Chain Optimization, Products and Applications
Table 36. Global Key Players of AI-Driven Supply Chain Optimization, Date of General Availability (GA)
Table 37. Mergers and Acquisitions, Expansion Plans
Table 38. Global AI-Driven Supply Chain Optimization Market Size by Type (US$ Million), 2021–2026
Table 39. Global AI-Driven Supply Chain Optimization Revenue Market Share by Type (2021–2026)
Table 40. Global AI-Driven Supply Chain Optimization Forecasted Market Size by Type (US$ Million), 2027–2032
Table 41. Global AI-Driven Supply Chain Optimization Revenue Market Share by Type (2027–2032)
Table 42. Global AI-Driven Supply Chain Optimization Market Size by Application (US$ Million), 2021–2026
Table 43. Global AI-Driven Supply Chain Optimization Revenue Market Share by Application (2021–2026)
Table 44. Global AI-Driven Supply Chain Optimization Forecasted Market Size by Application (US$ Million), 2027–2032
Table 45. Global AI-Driven Supply Chain Optimization Revenue Market Share by Application (2027–2032)
Table 46. North America AI-Driven Supply Chain Optimization Market Size Growth Rate by Country (US$ Million): 2021 vs 2025 vs 2032
Table 47. North America AI-Driven Supply Chain Optimization Market Size by Country (US$ Million), 2021–2026
Table 48. North America AI-Driven Supply Chain Optimization Market Size by Country (US$ Million), 2027–2032
Table 49. Europe AI-Driven Supply Chain Optimization Market Size Growth Rate by Country (US$ Million): 2021 vs 2025 vs 2032
Table 50. Europe AI-Driven Supply Chain Optimization Market Size by Country (US$ Million), 2021–2026
Table 51. Europe AI-Driven Supply Chain Optimization Market Size by Country (US$ Million), 2027–2032
Table 52. Asia-Pacific AI-Driven Supply Chain Optimization Market Size Growth Rate by Region (US$ Million): 2021 vs 2025 vs 2032
Table 53. Asia-Pacific AI-Driven Supply Chain Optimization Market Size by Region (US$ Million), 2021–2026
Table 54. Asia-Pacific AI-Driven Supply Chain Optimization Market Size by Region (US$ Million), 2027–2032
Table 55. Latin America AI-Driven Supply Chain Optimization Market Size Growth Rate by Country (US$ Million): 2021 vs 2025 vs 2032
Table 56. Latin America AI-Driven Supply Chain Optimization Market Size by Country (US$ Million), 2021–2026
Table 57. Latin America AI-Driven Supply Chain Optimization Market Size by Country (US$ Million), 2027–2032
Table 58. Middle East & Africa AI-Driven Supply Chain Optimization Market Size Growth Rate by Country (US$ Million): 2021 vs 2025 vs 2032
Table 59. Middle East & Africa AI-Driven Supply Chain Optimization Market Size by Country (US$ Million), 2021–2026
Table 60. Middle East & Africa AI-Driven Supply Chain Optimization Market Size by Country (US$ Million), 2027–2032
Table 61. Order Grid Company Details
Table 62. Order Grid Business Overview
Table 63. Order Grid AI-Driven Supply Chain Optimization Product
Table 64. Order Grid Revenue in AI-Driven Supply Chain Optimization Business (US$ Million), 2021–2026
Table 65. Order Grid Recent Development
Table 66. o9 Digital Brain Company Details
Table 67. o9 Digital Brain Business Overview
Table 68. o9 Digital Brain AI-Driven Supply Chain Optimization Product
Table 69. o9 Digital Brain Revenue in AI-Driven Supply Chain Optimization Business (US$ Million), 2021–2026
Table 70. o9 Digital Brain Recent Development
Table 71. Llamasoft Company Details
Table 72. Llamasoft Business Overview
Table 73. Llamasoft AI-Driven Supply Chain Optimization Product
Table 74. Llamasoft Revenue in AI-Driven Supply Chain Optimization Business (US$ Million), 2021–2026
Table 75. Llamasoft Recent Development
Table 76. Blue Yonder Company Details
Table 77. Blue Yonder Business Overview
Table 78. Blue Yonder AI-Driven Supply Chain Optimization Product
Table 79. Blue Yonder Revenue in AI-Driven Supply Chain Optimization Business (US$ Million), 2021–2026
Table 80. Blue Yonder Recent Development
Table 81. SAP Integrated Business Planning Company Details
Table 82. SAP Integrated Business Planning Business Overview
Table 83. SAP Integrated Business Planning AI-Driven Supply Chain Optimization Product
Table 84. SAP Integrated Business Planning Revenue in AI-Driven Supply Chain Optimization Business (US$ Million), 2021–2026
Table 85. SAP Integrated Business Planning Recent Development
Table 86. Oracle SCM Cloud Company Details
Table 87. Oracle SCM Cloud Business Overview
Table 88. Oracle SCM Cloud AI-Driven Supply Chain Optimization Product
Table 89. Oracle SCM Cloud Revenue in AI-Driven Supply Chain Optimization Business (US$ Million), 2021–2026
Table 90. Oracle SCM Cloud Recent Development
Table 91. Huawei Cloud Company Details
Table 92. Huawei Cloud Business Overview
Table 93. Huawei Cloud AI-Driven Supply Chain Optimization Product
Table 94. Huawei Cloud Revenue in AI-Driven Supply Chain Optimization Business (US$ Million), 2021–2026
Table 95. Huawei Cloud Recent Development
Table 96. Alibaba Cloud Company Details
Table 97. Alibaba Cloud Business Overview
Table 98. Alibaba Cloud AI-Driven Supply Chain Optimization Product
Table 99. Alibaba Cloud Revenue in AI-Driven Supply Chain Optimization Business (US$ Million), 2021–2026
Table 100. Alibaba Cloud Recent Development
Table 101. JD.com Company Details
Table 102. JD.com Business Overview
Table 103. JD.com AI-Driven Supply Chain Optimization Product
Table 104. JD.com Revenue in AI-Driven Supply Chain Optimization Business (US$ Million), 2021–2026
Table 105. JD.com Recent Development
Table 106. FourKites Company Details
Table 107. FourKites Business Overview
Table 108. FourKites AI-Driven Supply Chain Optimization Product
Table 109. FourKites Revenue in AI-Driven Supply Chain Optimization Business (US$ Million), 2021–2026
Table 110. FourKites Recent Development
Table 111. Interos Company Details
Table 112. Interos Business Overview
Table 113. Interos AI-Driven Supply Chain Optimization Product
Table 114. Interos Revenue in AI-Driven Supply Chain Optimization Business (US$ Million), 2021–2026
Table 115. Interos Recent Development
Table 116. Project44 Company Details
Table 117. Project44 Business Overview
Table 118. Project44 AI-Driven Supply Chain Optimization Product
Table 119. Project44 Revenue in AI-Driven Supply Chain Optimization Business (US$ Million), 2021–2026
Table 120. Project44 Recent Development
Table 121. ToolsGroup SO99+ Company Details
Table 122. ToolsGroup SO99+ Business Overview
Table 123. ToolsGroup SO99+ AI-Driven Supply Chain Optimization Product
Table 124. ToolsGroup SO99+ Revenue in AI-Driven Supply Chain Optimization Business (US$ Million), 2021–2026
Table 125. ToolsGroup SO99+ Recent Development
Table 126. IBM Sterling Supply Chain Intelligence Suite Company Details
Table 127. IBM Sterling Supply Chain Intelligence Suite Business Overview
Table 128. IBM Sterling Supply Chain Intelligence Suite AI-Driven Supply Chain Optimization Product
Table 129. IBM Sterling Supply Chain Intelligence Suite Revenue in AI-Driven Supply Chain Optimization Business (US$ Million), 2021–2026
Table 130. IBM Sterling Supply Chain Intelligence Suite Recent Development
Table 131. Manhattan Associates Company Details
Table 132. Manhattan Associates Business Overview
Table 133. Manhattan Associates AI-Driven Supply Chain Optimization Product
Table 134. Manhattan Associates Revenue in AI-Driven Supply Chain Optimization Business (US$ Million), 2021–2026
Table 135. Manhattan Associates Recent Development
Table 136. Research Programs/Design for This Report
Table 137. Key Data Information from Secondary Sources
Table 138. Key Data Information from Primary Sources
Table 139. Authors List of This Report


List of Figures
Figure 1. AI-Driven Supply Chain Optimization Picture
Figure 2. Global AI-Driven Supply Chain Optimization Market Size Comparison by Type (US$ Million), 2021–2032
Figure 3. Global AI-Driven Supply Chain Optimization Market Share by Type: 2025 vs 2032
Figure 4. Machine Learning & Prediction Features
Figure 5. Natural Language Processing Features
Figure 6. Computer Vision Features
Figure 7. Knowledge Graph Features
Figure 8. Others Features
Figure 9. Global AI-Driven Supply Chain Optimization Market Size Comparison by Supply Chain Optimization Goals (US$ Million), 2021–2032
Figure 10. Cost Efficiency Optimization Features
Figure 11. Service Level Optimization Features
Figure 12. Risk Management Optimization Features
Figure 13. Agility Optimization Features
Figure 14. Others Features
Figure 15. Global AI-Driven Supply Chain Optimization Market Size Comparison by Supply Chain Process (US$ Million), 2021–2032
Figure 16. Demand Forecasting Features
Figure 17. Procurement & Suppliers Features
Figure 18. Production & Manufacturing Features
Figure 19. Warehousing & Inventory Features
Figure 20. Logistics & Distribution Features
Figure 21. Global AI-Driven Supply Chain Optimization Market Size by Application (US$ Million), 2021–2032
Figure 22. Global AI-Driven Supply Chain Optimization Market Share by Application: 2025 vs 2032
Figure 23. Retail and Consumer Goods Industry Case Studies
Figure 24. Manufacturing and Industrial Products Industry Case Studies
Figure 25. Pharmaceuticals and Life Sciences Industry Case Studies
Figure 26. Automotive and Advanced Manufacturing Case Studies
Figure 27. Fresh Food and Produce Industry Case Studies
Figure 28. AI-Driven Supply Chain Optimization Report Years Considered
Figure 29. Global AI-Driven Supply Chain Optimization Market Size (US$ Million), Year-over-Year: 2021–2032
Figure 30. Global AI-Driven Supply Chain Optimization Market Size, (US$ Million), 2021 vs 2025 vs 2032
Figure 31. Global AI-Driven Supply Chain Optimization Market Share by Region: 2025 vs 2032
Figure 32. Global AI-Driven Supply Chain Optimization Market Share by Players in 2025
Figure 33. Global AI-Driven Supply Chain Optimization Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
Figure 34. The Top 10 and 5 Players Market Share by AI-Driven Supply Chain Optimization Revenue in 2025
Figure 35. North America AI-Driven Supply Chain Optimization Market Size YoY Growth (US$ Million), 2021–2032
Figure 36. North America AI-Driven Supply Chain Optimization Market Share by Country (2021–2032)
Figure 37. United States AI-Driven Supply Chain Optimization Market Size YoY Growth (US$ Million), 2021–2032
Figure 38. Canada AI-Driven Supply Chain Optimization Market Size YoY Growth (US$ Million), 2021–2032
Figure 39. Europe AI-Driven Supply Chain Optimization Market Size YoY Growth (US$ Million), 2021–2032
Figure 40. Europe AI-Driven Supply Chain Optimization Market Share by Country (2021–2032)
Figure 41. Germany AI-Driven Supply Chain Optimization Market Size YoY Growth (US$ Million), 2021–2032
Figure 42. France AI-Driven Supply Chain Optimization Market Size YoY Growth (US$ Million), 2021–2032
Figure 43. U.K. AI-Driven Supply Chain Optimization Market Size YoY Growth (US$ Million), 2021–2032
Figure 44. Italy AI-Driven Supply Chain Optimization Market Size YoY Growth (US$ Million), 2021–2032
Figure 45. Russia AI-Driven Supply Chain Optimization Market Size YoY Growth (US$ Million), 2021–2032
Figure 46. Ireland AI-Driven Supply Chain Optimization Market Size YoY Growth (US$ Million), 2021–2032
Figure 47. Asia-Pacific AI-Driven Supply Chain Optimization Market Size YoY Growth (US$ Million), 2021–2032
Figure 48. Asia-Pacific AI-Driven Supply Chain Optimization Market Share by Region (2021–2032)
Figure 49. China AI-Driven Supply Chain Optimization Market Size YoY Growth (US$ Million), 2021–2032
Figure 50. Japan AI-Driven Supply Chain Optimization Market Size YoY Growth (US$ Million), 2021–2032
Figure 51. South Korea AI-Driven Supply Chain Optimization Market Size YoY Growth (US$ Million), 2021–2032
Figure 52. Southeast Asia AI-Driven Supply Chain Optimization Market Size YoY Growth (US$ Million), 2021–2032
Figure 53. India AI-Driven Supply Chain Optimization Market Size YoY Growth (US$ Million), 2021–2032
Figure 54. Australia & New Zealand AI-Driven Supply Chain Optimization Market Size YoY Growth (US$ Million), 2021–2032
Figure 55. Latin America AI-Driven Supply Chain Optimization Market Size YoY Growth (US$ Million), 2021–2032
Figure 56. Latin America AI-Driven Supply Chain Optimization Market Share by Country (2021–2032)
Figure 57. Mexico AI-Driven Supply Chain Optimization Market Size YoY Growth (US$ Million), 2021–2032
Figure 58. Brazil AI-Driven Supply Chain Optimization Market Size YoY Growth (US$ Million), 2021–2032
Figure 59. Middle East & Africa AI-Driven Supply Chain Optimization Market Size YoY Growth (US$ Million), 2021–2032
Figure 60. Middle East & Africa AI-Driven Supply Chain Optimization Market Share by Country (2021–2032)
Figure 61. Israel AI-Driven Supply Chain Optimization Market Size YoY Growth (US$ Million), 2021–2032
Figure 62. Saudi Arabia AI-Driven Supply Chain Optimization Market Size YoY Growth (US$ Million), 2021–2032
Figure 63. UAE AI-Driven Supply Chain Optimization Market Size YoY Growth (US$ Million), 2021–2032
Figure 64. Order Grid Revenue Growth Rate in AI-Driven Supply Chain Optimization Business (2021–2026)
Figure 65. o9 Digital Brain Revenue Growth Rate in AI-Driven Supply Chain Optimization Business (2021–2026)
Figure 66. Llamasoft Revenue Growth Rate in AI-Driven Supply Chain Optimization Business (2021–2026)
Figure 67. Blue Yonder Revenue Growth Rate in AI-Driven Supply Chain Optimization Business (2021–2026)
Figure 68. SAP Integrated Business Planning Revenue Growth Rate in AI-Driven Supply Chain Optimization Business (2021–2026)
Figure 69. Oracle SCM Cloud Revenue Growth Rate in AI-Driven Supply Chain Optimization Business (2021–2026)
Figure 70. Huawei Cloud Revenue Growth Rate in AI-Driven Supply Chain Optimization Business (2021–2026)
Figure 71. Alibaba Cloud Revenue Growth Rate in AI-Driven Supply Chain Optimization Business (2021–2026)
Figure 72. JD.com Revenue Growth Rate in AI-Driven Supply Chain Optimization Business (2021–2026)
Figure 73. FourKites Revenue Growth Rate in AI-Driven Supply Chain Optimization Business (2021–2026)
Figure 74. Interos Revenue Growth Rate in AI-Driven Supply Chain Optimization Business (2021–2026)
Figure 75. Project44 Revenue Growth Rate in AI-Driven Supply Chain Optimization Business (2021–2026)
Figure 76. ToolsGroup SO99+ Revenue Growth Rate in AI-Driven Supply Chain Optimization Business (2021–2026)
Figure 77. IBM Sterling Supply Chain Intelligence Suite Revenue Growth Rate in AI-Driven Supply Chain Optimization Business (2021–2026)
Figure 78. Manhattan Associates Revenue Growth Rate in AI-Driven Supply Chain Optimization Business (2021–2026)
Figure 79. Bottom-up and Top-down Approaches for This Report
Figure 80. Data Triangulation
Figure 81. Key Executives Interviewed

Our Clients