Selected research
Market Outlook & Growth Opportunities
Global AI-Driven Supply Chain Optimization Market Outlook and Growth Opportunities 2026
Market perspective
The global AI-Driven Supply Chain Optimization market was valued at US$ million in 2026 and is projected to reach US$ million by 2032, implying a compound annual growth rate (CAGR) of % over 2026-2032.
The North America market for AI-Driven Supply Chain Optimization is projected to increase from US$ million in 2026 to US$ million by 2032, at a CAGR of % over 2026-2032.
The Europe market for AI-Driven Supply Chain Optimization is projected to increase from US$ million in 2026 to US$ million by 2032, at a CAGR of % over 2026-2032.
Read the full market overview
The Asia Pacific market for AI-Driven Supply Chain Optimization is projected to increase from US$ million in 2026 to US$ million by 2032, at a CAGR of % over 2026-2032.
In China, the AI-Driven Supply Chain Optimization market is projected to increase from US$ million in 2026 to US$ million by 2032, at a CAGR of % over 2026-2032.
Major global companies in the AI-Driven Supply Chain Optimization market include Order Grid, o9 Digital Brain, Llamasoft, Blue Yonder, SAP Integrated Business Planning, Oracle SCM Cloud, Huawei Cloud, Alibaba Cloud and JD.com, among others. In 2025, the top three vendors together accounted for approximately % of global market revenue.
This report provides an overview of the global AI-Driven Supply Chain Optimization market in terms of revenue and gross margin, analyzing global market trends using historical revenue data for 2021-2025, estimates for 2026, and projected CAGRs through 2032.
The study covers key producers of AI-Driven Supply Chain Optimization and market revenue by major regions and countries, assesses future market potential, and highlights priority regions and countries for segmenting the market into sub-sectors, with country-specific market value data for the U.S., Canada, Mexico, Brazil, China, Japan, South Korea, Southeast Asia, India, Germany, the U.K., Italy, the Middle East, Africa, and other countries.
The report also presents AI-Driven Supply Chain Optimization revenue, market share, and industry ranking for the main companies for 2021-2026, identifies the major stakeholders in the global market, and analyzes their competitive landscape and market positioning based on recent developments and segmental revenues.
Across the 2021-2026 period, the analysis compares revenue growth and profitability profiles by company, distinguishing participants with sustained expansion from those with more cyclical performance, and relates these patterns to differences in regional exposure, product portfolios, and application focus in the global AI-Driven Supply Chain Optimization market.
AI-Driven Supply Chain Optimization Segment 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
AI-Driven Supply Chain Optimization Segment by Type
Machine Learning & Prediction
Natural Language Processing
Computer Vision
Knowledge Graph
Others
AI-Driven Supply Chain Optimization 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
AI-Driven Supply Chain Optimization Segment by Region
North America
United States
Canada
Mexico
Europe
Germany
France
U.K.
Italy
Russia
Spain
Netherlands
Switzerland
Sweden
Poland
Asia-Pacific
China
Japan
South Korea
India
Australia
Taiwan
Southeast Asia
South America
Brazil
Argentina
Chile
Middle East & Africa
Egypt
South Africa
Israel
Türkiye
GCC Countries
Study Objectives
1. To analyze and research the global AI-Driven Supply Chain Optimization status and future forecast, involving, revenue, growth rate (CAGR), market share, historical and forecast.
2. To present the AI-Driven Supply Chain Optimization key companies, revenue, market share, and recent developments.
3. To split the AI-Driven Supply Chain Optimization breakdown data by regions, type, companies, and application.
4. To analyze the global and key regions AI-Driven Supply Chain Optimization market potential and advantage, opportunity and challenge, restraints, and risks.
5. To identify AI-Driven Supply Chain Optimization significant trends, drivers, influence factors in global and regions.
6. To analyze AI-Driven Supply Chain Optimization competitive developments such as expansions, agreements, new product launches, and acquisitions in the market.
Reasons to Buy This Report
1. This report will help the readers to understand the competition within the industries and strategies for the competitive environment to enhance the potential profit. The report also focuses on the competitive landscape of the global AI-Driven Supply Chain Optimization market, and introduces in detail the market share, industry ranking, competitor ecosystem, market performance, new product development, operation situation, expansion, and acquisition. etc. of the main players, which helps the readers to identify the main competitors and deeply understand the competition pattern of the market.
2. This report will help stakeholders to understand the global industry status and trends of AI-Driven Supply Chain Optimization and provides them with information on key market drivers, restraints, challenges, and opportunities.
3. This report will help stakeholders to understand competitors better and gain more insights to strengthen their position in their businesses. The competitive landscape section includes the market share and rank (in sales and value), competitor ecosystem, new product development, expansion, and acquisition.
4. This report stays updated with novel technology integration, features, and the latest developments in the market.
5. This report helps stakeholders to gain insights into which regions to target globally.
6. This report helps stakeholders to gain insights into the end-user perception concerning the adoption of AI-Driven Supply Chain Optimization.
7. This report helps stakeholders to identify some of the key players in the market and understand their valuable contribution.
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size.
Chapter 2: Analysis key trends, drivers, challenges, and opportunities within the global AI-Driven Supply Chain Optimization industry.
Chapter 3: Detailed analysis of AI-Driven Supply Chain Optimization company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6: Sales value of AI-Driven Supply Chain Optimization in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of key country in the world.
Chapter 7: Sales value of AI-Driven Supply Chain Optimization in country level. It provides sigmate data by type, and by application for each country/region.
Chapter 8: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including revenue, gross margin, product introduction, recent development, etc.
Chapter 9: Concluding Insights.
More report detail
Tables and figures
Scope & coverage.
Types
- Machine Learning & Prediction
- Natural Language Processing
- Computer Vision
- Knowledge Graph
- Others
Applications
- Retail and Consumer Goods Industry
- Manufacturing and Industrial Products Industry
- Pharmaceuticals and Life Sciences Industry
- Automotive and Advanced Manufacturing
- Fresh Food and Produce Industry
Companies covered
- 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
Inside the report.
1 Market Overview
- 1.1 Product Definition
- 1.2 Global AI-Driven Supply Chain Optimization Market Size, 2021 VS 2025 VS 2032
- 1.3 Global AI-Driven Supply Chain Optimization Market Size (2021-2032)
- 1.4 Assumptions and Limitations
- 1.5 Study Goals and Objectives
2 AI-Driven Supply Chain Optimization Market Dynamics
- 2.1 AI-Driven Supply Chain Optimization Industry Trends
- 2.2 AI-Driven Supply Chain Optimization Industry Drivers
- 2.3 AI-Driven Supply Chain Optimization Industry Opportunities and Challenges
- 2.4 AI-Driven Supply Chain Optimization Industry Restraints
3 AI-Driven Supply Chain Optimization Market by Company
- 3.1 Global AI-Driven Supply Chain Optimization Company Revenue Ranking in 2025
- 3.2 Global AI-Driven Supply Chain Optimization Revenue by Company (2021-2026)
- 3.3 Global AI-Driven Supply Chain Optimization Company Ranking (2024-2026)
- 3.4 Global AI-Driven Supply Chain Optimization Company Manufacturing Base and Headquarters
- 3.5 Global AI-Driven Supply Chain Optimization Company Product Type and Application
- 3.6 Global AI-Driven Supply Chain Optimization Company Establishment Date
- 3.7 Market Competitive Analysis
- 3.7.1 Global AI-Driven Supply Chain Optimization Market Concentration Ratio (CR5 and HHI)
- 3.7.2 Global Top 5 and 10 Company Market Share by Revenue in 2025
- 3.7.3 2025 AI-Driven Supply Chain Optimization Tier 1, Tier 2, and Tier 3 Companies
- 3.8 Mergers and Acquisitions Expansion
4 AI-Driven Supply Chain Optimization Market by Type
- 4.1 AI-Driven Supply Chain Optimization Type Introduction
- 4.1.1 Machine Learning & Prediction
- 4.1.2 Natural Language Processing
- 4.1.3 Computer Vision
- 4.1.4 Knowledge Graph
- 4.1.5 Others
- 4.2 Global AI-Driven Supply Chain Optimization Sales Value by Type
- 4.2.1 Global AI-Driven Supply Chain Optimization Sales Value by Type (2021 VS 2025 VS 2032)
- 4.2.2 Global AI-Driven Supply Chain Optimization Sales Value by Type (2021-2032)
- 4.2.3 Global AI-Driven Supply Chain Optimization Sales Value Share by Type (2021-2032)
5 AI-Driven Supply Chain Optimization Market by Application
- 5.1 AI-Driven Supply Chain Optimization Application Introduction
- 5.1.1 Retail and Consumer Goods Industry
- 5.1.2 Manufacturing and Industrial Products Industry
- 5.1.3 Pharmaceuticals and Life Sciences Industry
- 5.1.4 Automotive and Advanced Manufacturing
- 5.1.5 Fresh Food and Produce Industry
- 5.2 Global AI-Driven Supply Chain Optimization Sales Value by Application
- 5.2.1 Global AI-Driven Supply Chain Optimization Sales Value by Application (2021 VS 2025 VS 2032)
- 5.2.2 Global AI-Driven Supply Chain Optimization Sales Value by Application (2021-2032)
- 5.2.3 Global AI-Driven Supply Chain Optimization Sales Value Share by Application (2021-2032)
6 AI-Driven Supply Chain Optimization Regional Value Analysis
- 6.1 Global AI-Driven Supply Chain Optimization Sales Value by Region: 2021 VS 2025 VS 2032
- 6.2 Global AI-Driven Supply Chain Optimization Sales Value by Region (2021-2032)
- 6.2.1 Global AI-Driven Supply Chain Optimization Sales Value by Region: 2021-2026
- 6.2.2 Global AI-Driven Supply Chain Optimization Sales Value by Region (2027-2032)
- 6.3 North America
- 6.3.1 North America AI-Driven Supply Chain Optimization Sales Value (2021-2032)
- 6.3.2 North America AI-Driven Supply Chain Optimization Sales Value Share by Country, 2025 VS 2032
- 6.4 Europe
- 6.4.1 Europe AI-Driven Supply Chain Optimization Sales Value (2021-2032)
- 6.4.2 Europe AI-Driven Supply Chain Optimization Sales Value Share by Country, 2025 VS 2032
- 6.5 Asia-Pacific
- 6.5.1 Asia-Pacific AI-Driven Supply Chain Optimization Sales Value (2021-2032)
- 6.5.2 Asia-Pacific AI-Driven Supply Chain Optimization Sales Value Share by Country, 2025 VS 2032
- 6.6 South America
- 6.6.1 South America AI-Driven Supply Chain Optimization Sales Value (2021-2032)
- 6.6.2 South America AI-Driven Supply Chain Optimization Sales Value Share by Country, 2025 VS 2032
- 6.7 Middle East & Africa
- 6.7.1 Middle East & Africa AI-Driven Supply Chain Optimization Sales Value (2021-2032)
- 6.7.2 Middle East & Africa AI-Driven Supply Chain Optimization Sales Value Share by Country, 2025 VS 2032
7 AI-Driven Supply Chain Optimization Country-level Value Analysis
- 7.1 Global AI-Driven Supply Chain Optimization Sales Value by Country: 2021 VS 2025 VS 2032
- 7.2 Global AI-Driven Supply Chain Optimization Sales Value by Country (2021-2032)
- 7.2.1 Global AI-Driven Supply Chain Optimization Sales Value by Country (2021-2026)
- 7.2.2 Global AI-Driven Supply Chain Optimization Sales Value by Country (2027-2032)
- 7.3 USA
- 7.3.1 USA AI-Driven Supply Chain Optimization Sales Value Growth Rate (2021-2032)
- 7.3.2 USA AI-Driven Supply Chain Optimization Sales Value Share by Type, 2025 VS 2032
- 7.3.3 USA AI-Driven Supply Chain Optimization Sales Value Share by Application, 2025 VS 2032
- 7.4 Canada
- 7.4.1 Canada AI-Driven Supply Chain Optimization Sales Value Growth Rate (2021-2032)
- 7.4.2 Canada AI-Driven Supply Chain Optimization Sales Value Share by Type, 2025 VS 2032
- 7.4.3 Canada AI-Driven Supply Chain Optimization Sales Value Share by Application, 2025 VS 2032
- 7.5 Mexico
- 7.5.1 Mexico AI-Driven Supply Chain Optimization Sales Value Growth Rate (2021-2032)
- 7.5.2 Mexico AI-Driven Supply Chain Optimization Sales Value Share by Type, 2025 VS 2032
- 7.5.3 Mexico AI-Driven Supply Chain Optimization Sales Value Share by Application, 2025 VS 2032
- 7.6 Germany
- 7.6.1 Germany AI-Driven Supply Chain Optimization Sales Value Growth Rate (2021-2032)
- 7.6.2 Germany AI-Driven Supply Chain Optimization Sales Value Share by Type, 2025 VS 2032
- 7.6.3 Germany AI-Driven Supply Chain Optimization Sales Value Share by Application, 2025 VS 2032
- 7.7 France
- 7.7.1 France AI-Driven Supply Chain Optimization Sales Value Growth Rate (2021-2032)
- 7.7.2 France AI-Driven Supply Chain Optimization Sales Value Share by Type, 2025 VS 2032
- 7.7.3 France AI-Driven Supply Chain Optimization Sales Value Share by Application, 2025 VS 2032
- 7.8 U.K.
- 7.8.1 U.K. AI-Driven Supply Chain Optimization Sales Value Growth Rate (2021-2032)
- 7.8.2 U.K. AI-Driven Supply Chain Optimization Sales Value Share by Type, 2025 VS 2032
- 7.8.3 U.K. AI-Driven Supply Chain Optimization Sales Value Share by Application, 2025 VS 2032
- 7.9 Italy
- 7.9.1 Italy AI-Driven Supply Chain Optimization Sales Value Growth Rate (2021-2032)
- 7.9.2 Italy AI-Driven Supply Chain Optimization Sales Value Share by Type, 2025 VS 2032
- 7.9.3 Italy AI-Driven Supply Chain Optimization Sales Value Share by Application, 2025 VS 2032
- 7.10 Spain
- 7.10.1 Spain AI-Driven Supply Chain Optimization Sales Value Growth Rate (2021-2032)
- 7.10.2 Spain AI-Driven Supply Chain Optimization Sales Value Share by Type, 2025 VS 2032
- 7.10.3 Spain AI-Driven Supply Chain Optimization Sales Value Share by Application, 2025 VS 2032
- 7.11 Russia
- 7.11.1 Russia AI-Driven Supply Chain Optimization Sales Value Growth Rate (2021-2032)
- 7.11.2 Russia AI-Driven Supply Chain Optimization Sales Value Share by Type, 2025 VS 2032
- 7.11.3 Russia AI-Driven Supply Chain Optimization Sales Value Share by Application, 2025 VS 2032
- 7.12 Netherlands
- 7.12.1 Netherlands AI-Driven Supply Chain Optimization Sales Value Growth Rate (2021-2032)
- 7.12.2 Netherlands AI-Driven Supply Chain Optimization Sales Value Share by Type, 2025 VS 2032
- 7.12.3 Netherlands AI-Driven Supply Chain Optimization Sales Value Share by Application, 2025 VS 2032
- 7.13 Nordic Countries
- 7.13.1 Nordic Countries AI-Driven Supply Chain Optimization Sales Value Growth Rate (2021-2032)
- 7.13.2 Nordic Countries AI-Driven Supply Chain Optimization Sales Value Share by Type, 2025 VS 2032
- 7.13.3 Nordic Countries AI-Driven Supply Chain Optimization Sales Value Share by Application, 2025 VS 2032
- 7.14 China
- 7.14.1 China AI-Driven Supply Chain Optimization Sales Value Growth Rate (2021-2032)
- 7.14.2 China AI-Driven Supply Chain Optimization Sales Value Share by Type, 2025 VS 2032
- 7.14.3 China AI-Driven Supply Chain Optimization Sales Value Share by Application, 2025 VS 2032
- 7.15 Japan
- 7.15.1 Japan AI-Driven Supply Chain Optimization Sales Value Growth Rate (2021-2032)
- 7.15.2 Japan AI-Driven Supply Chain Optimization Sales Value Share by Type, 2025 VS 2032
- 7.15.3 Japan AI-Driven Supply Chain Optimization Sales Value Share by Application, 2025 VS 2032
- 7.16 South Korea
- 7.16.1 South Korea AI-Driven Supply Chain Optimization Sales Value Growth Rate (2021-2032)
- 7.16.2 South Korea AI-Driven Supply Chain Optimization Sales Value Share by Type, 2025 VS 2032
- 7.16.3 South Korea AI-Driven Supply Chain Optimization Sales Value Share by Application, 2025 VS 2032
- 7.17 India
- 7.17.1 India AI-Driven Supply Chain Optimization Sales Value Growth Rate (2021-2032)
- 7.17.2 India AI-Driven Supply Chain Optimization Sales Value Share by Type, 2025 VS 2032
- 7.17.3 India AI-Driven Supply Chain Optimization Sales Value Share by Application, 2025 VS 2032
- 7.18 Australia
- 7.18.1 Australia AI-Driven Supply Chain Optimization Sales Value Growth Rate (2021-2032)
- 7.18.2 Australia AI-Driven Supply Chain Optimization Sales Value Share by Type, 2025 VS 2032
- 7.18.3 Australia AI-Driven Supply Chain Optimization Sales Value Share by Application, 2025 VS 2032
- 7.19 Southeast Asia
- 7.19.1 Southeast Asia AI-Driven Supply Chain Optimization Sales Value Growth Rate (2021-2032)
- 7.19.2 Southeast Asia AI-Driven Supply Chain Optimization Sales Value Share by Type, 2025 VS 2032
- 7.19.3 Southeast Asia AI-Driven Supply Chain Optimization Sales Value Share by Application, 2025 VS 2032
- 7.20 Brazil
- 7.20.1 Brazil AI-Driven Supply Chain Optimization Sales Value Growth Rate (2021-2032)
- 7.20.2 Brazil AI-Driven Supply Chain Optimization Sales Value Share by Type, 2025 VS 2032
- 7.20.3 Brazil AI-Driven Supply Chain Optimization Sales Value Share by Application, 2025 VS 2032
- 7.21 Argentina
- 7.21.1 Argentina AI-Driven Supply Chain Optimization Sales Value Growth Rate (2021-2032)
- 7.21.2 Argentina AI-Driven Supply Chain Optimization Sales Value Share by Type, 2025 VS 2032
- 7.21.3 Argentina AI-Driven Supply Chain Optimization Sales Value Share by Application, 2025 VS 2032
- 7.22 Chile
- 7.22.1 Chile AI-Driven Supply Chain Optimization Sales Value Growth Rate (2021-2032)
- 7.22.2 Chile AI-Driven Supply Chain Optimization Sales Value Share by Type, 2025 VS 2032
- 7.22.3 Chile AI-Driven Supply Chain Optimization Sales Value Share by Application, 2025 VS 2032
- 7.23 Colombia
- 7.23.1 Colombia AI-Driven Supply Chain Optimization Sales Value Growth Rate (2021-2032)
- 7.23.2 Colombia AI-Driven Supply Chain Optimization Sales Value Share by Type, 2025 VS 2032
- 7.23.3 Colombia AI-Driven Supply Chain Optimization Sales Value Share by Application, 2025 VS 2032
- 7.24 Peru
- 7.24.1 Peru AI-Driven Supply Chain Optimization Sales Value Growth Rate (2021-2032)
- 7.24.2 Peru AI-Driven Supply Chain Optimization Sales Value Share by Type, 2025 VS 2032
- 7.24.3 Peru AI-Driven Supply Chain Optimization Sales Value Share by Application, 2025 VS 2032
- 7.25 Saudi Arabia
- 7.25.1 Saudi Arabia AI-Driven Supply Chain Optimization Sales Value Growth Rate (2021-2032)
- 7.25.2 Saudi Arabia AI-Driven Supply Chain Optimization Sales Value Share by Type, 2025 VS 2032
- 7.25.3 Saudi Arabia AI-Driven Supply Chain Optimization Sales Value Share by Application, 2025 VS 2032
- 7.26 Israel
- 7.26.1 Israel AI-Driven Supply Chain Optimization Sales Value Growth Rate (2021-2032)
- 7.26.2 Israel AI-Driven Supply Chain Optimization Sales Value Share by Type, 2025 VS 2032
- 7.26.3 Israel AI-Driven Supply Chain Optimization Sales Value Share by Application, 2025 VS 2032
- 7.27 UAE
- 7.27.1 UAE AI-Driven Supply Chain Optimization Sales Value Growth Rate (2021-2032)
- 7.27.2 UAE AI-Driven Supply Chain Optimization Sales Value Share by Type, 2025 VS 2032
- 7.27.3 UAE AI-Driven Supply Chain Optimization Sales Value Share by Application, 2025 VS 2032
- 7.28 Turkey
- 7.28.1 Turkey AI-Driven Supply Chain Optimization Sales Value Growth Rate (2021-2032)
- 7.28.2 Turkey AI-Driven Supply Chain Optimization Sales Value Share by Type, 2025 VS 2032
- 7.28.3 Turkey AI-Driven Supply Chain Optimization Sales Value Share by Application, 2025 VS 2032
- 7.29 Iran
- 7.29.1 Iran AI-Driven Supply Chain Optimization Sales Value Growth Rate (2021-2032)
- 7.29.2 Iran AI-Driven Supply Chain Optimization Sales Value Share by Type, 2025 VS 2032
- 7.29.3 Iran AI-Driven Supply Chain Optimization Sales Value Share by Application, 2025 VS 2032
- 7.30 Egypt
- 7.30.1 Egypt AI-Driven Supply Chain Optimization Sales Value Growth Rate (2021-2032)
- 7.30.2 Egypt AI-Driven Supply Chain Optimization Sales Value Share by Type, 2025 VS 2032
- 7.30.3 Egypt AI-Driven Supply Chain Optimization Sales Value Share by Application, 2025 VS 2032
8 Company Profiles
- 8.1 Order Grid
- 8.1.1 Order Grid Company Information
- 8.1.2 Order Grid Business Overview
- 8.1.3 Order Grid AI-Driven Supply Chain Optimization Revenue and Gross Margin (2021-2026)
- 8.1.4 Order Grid AI-Driven Supply Chain Optimization Product Portfolio
- 8.1.5 Order Grid Recent Developments
- 8.2 o9 Digital Brain
- 8.2.1 o9 Digital Brain Company Information
- 8.2.2 o9 Digital Brain Business Overview
- 8.2.3 o9 Digital Brain AI-Driven Supply Chain Optimization Revenue and Gross Margin (2021-2026)
- 8.2.4 o9 Digital Brain AI-Driven Supply Chain Optimization Product Portfolio
- 8.2.5 o9 Digital Brain Recent Developments
- 8.3 Llamasoft
- 8.3.1 Llamasoft Company Information
- 8.3.2 Llamasoft Business Overview
- 8.3.3 Llamasoft AI-Driven Supply Chain Optimization Revenue and Gross Margin (2021-2026)
- 8.3.4 Llamasoft AI-Driven Supply Chain Optimization Product Portfolio
- 8.3.5 Llamasoft Recent Developments
- 8.4 Blue Yonder
- 8.4.1 Blue Yonder Company Information
- 8.4.2 Blue Yonder Business Overview
- 8.4.3 Blue Yonder AI-Driven Supply Chain Optimization Revenue and Gross Margin (2021-2026)
- 8.4.4 Blue Yonder AI-Driven Supply Chain Optimization Product Portfolio
- 8.4.5 Blue Yonder Recent Developments
- 8.5 SAP Integrated Business Planning
- 8.5.1 SAP Integrated Business Planning Company Information
- 8.5.2 SAP Integrated Business Planning Business Overview
- 8.5.3 SAP Integrated Business Planning AI-Driven Supply Chain Optimization Revenue and Gross Margin (2021-2026)
- 8.5.4 SAP Integrated Business Planning AI-Driven Supply Chain Optimization Product Portfolio
- 8.5.5 SAP Integrated Business Planning Recent Developments
- 8.6 Oracle SCM Cloud
- 8.6.1 Oracle SCM Cloud Company Information
- 8.6.2 Oracle SCM Cloud Business Overview
- 8.6.3 Oracle SCM Cloud AI-Driven Supply Chain Optimization Revenue and Gross Margin (2021-2026)
- 8.6.4 Oracle SCM Cloud AI-Driven Supply Chain Optimization Product Portfolio
- 8.6.5 Oracle SCM Cloud Recent Developments
- 8.7 Huawei Cloud
- 8.7.1 Huawei Cloud Company Information
- 8.7.2 Huawei Cloud Business Overview
- 8.7.3 Huawei Cloud AI-Driven Supply Chain Optimization Revenue and Gross Margin (2021-2026)
- 8.7.4 Huawei Cloud AI-Driven Supply Chain Optimization Product Portfolio
- 8.7.5 Huawei Cloud Recent Developments
- 8.8 Alibaba Cloud
- 8.8.1 Alibaba Cloud Company Information
- 8.8.2 Alibaba Cloud Business Overview
- 8.8.3 Alibaba Cloud AI-Driven Supply Chain Optimization Revenue and Gross Margin (2021-2026)
- 8.8.4 Alibaba Cloud AI-Driven Supply Chain Optimization Product Portfolio
- 8.8.5 Alibaba Cloud Recent Developments
- 8.9 JD.com
- 8.9.1 JD.com Company Information
- 8.9.2 JD.com Business Overview
- 8.9.3 JD.com AI-Driven Supply Chain Optimization Revenue and Gross Margin (2021-2026)
- 8.9.4 JD.com AI-Driven Supply Chain Optimization Product Portfolio
- 8.9.5 JD.com Recent Developments
- 8.10 FourKites
- 8.10.1 FourKites Company Information
- 8.10.2 FourKites Business Overview
- 8.10.3 FourKites AI-Driven Supply Chain Optimization Revenue and Gross Margin (2021-2026)
- 8.10.4 FourKites AI-Driven Supply Chain Optimization Product Portfolio
- 8.10.5 FourKites Recent Developments
- 8.11 Interos
- 8.11.1 Interos Company Information
- 8.11.2 Interos Business Overview
- 8.11.3 Interos AI-Driven Supply Chain Optimization Revenue and Gross Margin (2021-2026)
- 8.11.4 Interos AI-Driven Supply Chain Optimization Product Portfolio
- 8.11.5 Interos Recent Developments
- 8.12 Project44
- 8.12.1 Project44 Company Information
- 8.12.2 Project44 Business Overview
- 8.12.3 Project44 AI-Driven Supply Chain Optimization Revenue and Gross Margin (2021-2026)
- 8.12.4 Project44 AI-Driven Supply Chain Optimization Product Portfolio
- 8.12.5 Project44 Recent Developments
- 8.13 ToolsGroup SO99+
- 8.13.1 ToolsGroup SO99+ Company Information
- 8.13.2 ToolsGroup SO99+ Business Overview
- 8.13.3 ToolsGroup SO99+ AI-Driven Supply Chain Optimization Revenue and Gross Margin (2021-2026)
- 8.13.4 ToolsGroup SO99+ AI-Driven Supply Chain Optimization Product Portfolio
- 8.13.5 ToolsGroup SO99+ Recent Developments
- 8.14 IBM Sterling Supply Chain Intelligence Suite
- 8.14.1 IBM Sterling Supply Chain Intelligence Suite Company Information
- 8.14.2 IBM Sterling Supply Chain Intelligence Suite Business Overview
- 8.14.3 IBM Sterling Supply Chain Intelligence Suite AI-Driven Supply Chain Optimization Revenue and Gross Margin (2021-2026)
- 8.14.4 IBM Sterling Supply Chain Intelligence Suite AI-Driven Supply Chain Optimization Product Portfolio
- 8.14.5 IBM Sterling Supply Chain Intelligence Suite Recent Developments
- 8.15 Manhattan Associates
- 8.15.1 Manhattan Associates Company Information
- 8.15.2 Manhattan Associates Business Overview
- 8.15.3 Manhattan Associates AI-Driven Supply Chain Optimization Revenue and Gross Margin (2021-2026)
- 8.15.4 Manhattan Associates AI-Driven Supply Chain Optimization Product Portfolio
- 8.15.5 Manhattan Associates Recent Developments
9 Concluding Insights
10 Appendix
- 10.1 Reasons for Doing This Study
- 10.2 Research Methodology
- 10.3 Research Process
- 10.4 Authors List of This Report
- 10.5 Data Source
- 10.5.1 Secondary Sources
- 10.5.2 Primary Sources
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