Selected research
Industry Research
AI-Driven Supply Chain Optimization Industry Research Report 2026
Market perspective
The global AI-Driven Supply Chain Optimization market was valued at US$ million in 2025 and is projected to reach US$ million by 2032, implying a CAGR of % over 2026–2032.
North America: the AI-Driven Supply Chain Optimization market is projected to increase from US$ million in 2026 to US$ million by 2032, reflecting a CAGR of % over 2026–2032. Europe: the AI-Driven Supply Chain Optimization market is projected to rise from US$ million in 2026 to US$ million by 2032, registering a CAGR of % over 2026–2032. Asia Pacific: the AI-Driven Supply Chain Optimization market is expected to grow from US$ million in 2026 to US$ million by 2032, at a CAGR of % over 2026–2032. Leading global service providers 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 and JD.com, among others; in 2025, the top three vendors together accounted for approximately % of global revenue.
Report Scope
Read the full market overview
This report quantifies the global AI-Driven Supply Chain Optimization market in terms of revenue (US$ million) and, where applicable, service volume (k units), using 2024 as the base year and providing annual historical and forecast data for 2021–2032.
It standardizes definitions of service Types and end-use Applications, harmonizes provider attribution, and delivers comparable time series by company, Type, Application, and region or country, including indicative price bands (US$/k units) and concentration ratios (CR5/CR10). Outputs are intended to support service design, budgeting, capacity planning, and benchmarking for providers, platforms, channel partners, and investors; the report also reviews technology shifts and notable service innovations relevant to AI-Driven Supply Chain Optimization.
Key Companies & Market Share Insights
This section profiles leading service providers with 2021–2025 results and a 2026–2032 outlook—covering revenue, market share, price bands, service portfolio and client mix, regional and channel mix, and key developments (M&A, network expansion, certifications). It also provides global revenue, average price, and—where applicable—volume metrics by provider, and calculates CR5/CR10 and rank changes to support comparative benchmarking.
AI-Driven Supply Chain Optimization Market 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
Spain
Russia
Netherlands
Nordic Countries
Asia-Pacific
China
Japan
South Korea
India
Australia
Taiwan
Southeast Asia
South America
Brazil
Argentina
Chile
Middle East & Africa
Saudi Arabia
Israel
United Arab Emirates
Turkey
Iran
Egypt
Key Drivers & Barriers
High-impact rendering factors and drivers have been studied in this report to aid the readers to understand the general development. Moreover, the report includes restraints and challenges that may act as stumbling blocks on the way of the players. This will assist the users to be attentive and make informed decisions related to business. Specialists have also laid their focus on the upcoming business prospects.
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 volume 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: Research objectives, research methods, data sources, data cross-validation;
Chapter 2: Introduces the report scope of the report, executive summary of different market segments (product type, application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 3: Provides the analysis of various market segments product types, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 4: Provides the analysis of various market segments 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 5: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 6: Detailed analysis of AI-Driven Supply Chain Optimization companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 7, 8, 9, 10, 11: North America, Europe, Asia Pacific, South America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 12: 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 13: The main points and conclusions of the report.
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 Preface
- 1.1 Scope of Report
- 1.2 Reasons for Doing This Study
- 1.3 Research Methodology
- 1.4 Research Process
- 1.5 Data Source
- 1.5.1 Secondary Sources
- 1.5.2 Primary Sources
2 Market Overview
- 2.1 Product Definition
- 2.2 AI-Driven Supply Chain Optimization by Type
- 2.2.1 Market Value Comparison by Type (2021 VS 2025 VS 2032)
- 2.2.2 Machine Learning & Prediction
- 2.2.3 Natural Language Processing
- 2.2.4 Computer Vision
- 2.2.5 Knowledge Graph
- 2.2.6 Others
- 2.3 AI-Driven Supply Chain Optimization by Application
- 2.3.1 Market Value Comparison by Application (2021 VS 2025 VS 2032)
- 2.3.2 Retail and Consumer Goods Industry
- 2.3.3 Manufacturing and Industrial Products Industry
- 2.3.4 Pharmaceuticals and Life Sciences Industry
- 2.3.5 Automotive and Advanced Manufacturing
- 2.3.6 Fresh Food and Produce Industry
- 2.4 Assumptions and Limitations
3 AI-Driven Supply Chain Optimization Breakdown Data by Type
- 3.1 Global AI-Driven Supply Chain Optimization Historic Market Size by Type (2021-2026)
- 3.2 Global AI-Driven Supply Chain Optimization Forecasted Market Size by Type (2027-2032)
4 AI-Driven Supply Chain Optimization Breakdown Data by Application
- 4.1 Global AI-Driven Supply Chain Optimization Historic Market Size by Application (2021-2026)
- 4.2 Global AI-Driven Supply Chain Optimization Forecasted Market Size by Application (2027-2032)
5 Global Growth Trends
- 5.1 Global AI-Driven Supply Chain Optimization Market Perspective (2021-2032)
- 5.2 Global AI-Driven Supply Chain Optimization Growth Trends by Region
- 5.2.1 Global AI-Driven Supply Chain Optimization Market Size by Region: 2021 VS 2025 VS 2032
- 5.2.2 AI-Driven Supply Chain Optimization Historic Market Size by Region (2021-2026)
- 5.2.3 AI-Driven Supply Chain Optimization Forecasted Market Size by Region (2027-2032)
- 5.3 AI-Driven Supply Chain Optimization Market Dynamics
- 5.3.1 AI-Driven Supply Chain Optimization Industry Trends
- 5.3.2 AI-Driven Supply Chain Optimization Market Drivers
- 5.3.3 AI-Driven Supply Chain Optimization Market Challenges
- 5.3.4 AI-Driven Supply Chain Optimization Market Restraints
6 Market Competitive Landscape by Players
- 6.1 Global Top AI-Driven Supply Chain Optimization Players by Revenue
- 6.1.1 Global Top AI-Driven Supply Chain Optimization Players by Revenue (2021-2026)
- 6.1.2 Global AI-Driven Supply Chain Optimization Revenue Market Share by Players (2021-2026)
- 6.2 Global AI-Driven Supply Chain Optimization Industry Players Ranking, 2023 VS 2024 VS 2025
- 6.3 Global Key Players of AI-Driven Supply Chain Optimization Head Office and Area Served
- 6.4 Global AI-Driven Supply Chain Optimization Players, Product Type & Application
- 6.5 Global AI-Driven Supply Chain Optimization Manufacturers Established Date
- 6.6 Global AI-Driven Supply Chain Optimization Market CR5 and HHI
- 6.7 Global Players Mergers & Acquisition
7 North America
- 7.1 North America AI-Driven Supply Chain Optimization Market Size (2021-2032)
- 7.2 North America AI-Driven Supply Chain Optimization Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 7.3 North America AI-Driven Supply Chain Optimization Market Size by Country (2021-2026)
- 7.4 North America AI-Driven Supply Chain Optimization Market Size by Country (2027-2032)
- 7.5 United States
- 7.5 United States
- 7.6 Canada
- 7.7 Mexico
8 Europe
- 8.1 Europe AI-Driven Supply Chain Optimization Market Size (2021-2032)
- 8.2 Europe AI-Driven Supply Chain Optimization Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 8.3 Europe AI-Driven Supply Chain Optimization Market Size by Country (2021-2026)
- 8.4 Europe AI-Driven Supply Chain Optimization Market Size by Country (2027-2032)
- 8.5 Germany
- 8.6 France
- 8.7 U.K.
- 8.8 Italy
- 8.9 Spain
- 8.10 Russia
- 8.11 Netherlands
- 8.12 Nordic Countries
9 Asia-Pacific
- 9.1 Asia-Pacific AI-Driven Supply Chain Optimization Market Size (2021-2032)
- 9.2 Asia-Pacific AI-Driven Supply Chain Optimization Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 9.3 Asia-Pacific AI-Driven Supply Chain Optimization Market Size by Country (2021-2026)
- 9.4 Asia-Pacific AI-Driven Supply Chain Optimization Market Size by Country (2027-2032)
- 9.5 China
- 9.6 Japan
- 9.7 South Korea
- 9.8 India
- 9.9 Australia
- 9.10 China Taiwan
- 9.11 Southeast Asia
10 South America
- 10.1 South America AI-Driven Supply Chain Optimization Market Size (2021-2032)
- 10.2 South America AI-Driven Supply Chain Optimization Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 10.3 South America AI-Driven Supply Chain Optimization Market Size by Country (2021-2026)
- 10.4 South America AI-Driven Supply Chain Optimization Market Size by Country (2027-2032)
- 10.5 Brazil
- 10.6 Argentina
- 10.7 Chile
- 10.8 Colombia
- 10.9 Peru
11 Middle East & Africa
- 11.1 Middle East & Africa AI-Driven Supply Chain Optimization Market Size (2021-2032)
- 11.2 Middle East & Africa AI-Driven Supply Chain Optimization Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 11.3 Middle East & Africa AI-Driven Supply Chain Optimization Market Size by Country (2021-2026)
- 11.4 Middle East & Africa AI-Driven Supply Chain Optimization Market Size by Country (2027-2032)
- 11.5 Saudi Arabia
- 11.6 Israel
- 11.7 United Arab Emirates
- 11.8 Turkey
- 11.9 Iran
- 11.10 Egypt
12 Players Profiled
- 12.1 Order Grid
- 12.1.1 Order Grid Company Information
- 12.1.2 Order Grid Business Overview
- 12.1.3 Order Grid Revenue in AI-Driven Supply Chain Optimization Business (2021-2026)
- 12.1.4 Order Grid AI-Driven Supply Chain Optimization Product Portfolio
- 12.1.5 Order Grid Recent Developments
- 12.2 o9 Digital Brain
- 12.2.1 o9 Digital Brain Company Information
- 12.2.2 o9 Digital Brain Business Overview
- 12.2.3 o9 Digital Brain Revenue in AI-Driven Supply Chain Optimization Business (2021-2026)
- 12.2.4 o9 Digital Brain AI-Driven Supply Chain Optimization Product Portfolio
- 12.2.5 o9 Digital Brain Recent Developments
- 12.3 Llamasoft
- 12.3.1 Llamasoft Company Information
- 12.3.2 Llamasoft Business Overview
- 12.3.3 Llamasoft Revenue in AI-Driven Supply Chain Optimization Business (2021-2026)
- 12.3.4 Llamasoft AI-Driven Supply Chain Optimization Product Portfolio
- 12.3.5 Llamasoft Recent Developments
- 12.4 Blue Yonder
- 12.4.1 Blue Yonder Company Information
- 12.4.2 Blue Yonder Business Overview
- 12.4.3 Blue Yonder Revenue in AI-Driven Supply Chain Optimization Business (2021-2026)
- 12.4.4 Blue Yonder AI-Driven Supply Chain Optimization Product Portfolio
- 12.4.5 Blue Yonder Recent Developments
- 12.5 SAP Integrated Business Planning
- 12.5.1 SAP Integrated Business Planning Company Information
- 12.5.2 SAP Integrated Business Planning Business Overview
- 12.5.3 SAP Integrated Business Planning Revenue in AI-Driven Supply Chain Optimization Business (2021-2026)
- 12.5.4 SAP Integrated Business Planning AI-Driven Supply Chain Optimization Product Portfolio
- 12.5.5 SAP Integrated Business Planning Recent Developments
- 12.6 Oracle SCM Cloud
- 12.6.1 Oracle SCM Cloud Company Information
- 12.6.2 Oracle SCM Cloud Business Overview
- 12.6.3 Oracle SCM Cloud Revenue in AI-Driven Supply Chain Optimization Business (2021-2026)
- 12.6.4 Oracle SCM Cloud AI-Driven Supply Chain Optimization Product Portfolio
- 12.6.5 Oracle SCM Cloud Recent Developments
- 12.7 Huawei Cloud
- 12.7.1 Huawei Cloud Company Information
- 12.7.2 Huawei Cloud Business Overview
- 12.7.3 Huawei Cloud Revenue in AI-Driven Supply Chain Optimization Business (2021-2026)
- 12.7.4 Huawei Cloud AI-Driven Supply Chain Optimization Product Portfolio
- 12.7.5 Huawei Cloud Recent Developments
- 12.8 Alibaba Cloud
- 12.8.1 Alibaba Cloud Company Information
- 12.8.2 Alibaba Cloud Business Overview
- 12.8.3 Alibaba Cloud Revenue in AI-Driven Supply Chain Optimization Business (2021-2026)
- 12.8.4 Alibaba Cloud AI-Driven Supply Chain Optimization Product Portfolio
- 12.8.5 Alibaba Cloud Recent Developments
- 12.9 JD.com
- 12.9.1 JD.com Company Information
- 12.9.2 JD.com Business Overview
- 12.9.3 JD.com Revenue in AI-Driven Supply Chain Optimization Business (2021-2026)
- 12.9.4 JD.com AI-Driven Supply Chain Optimization Product Portfolio
- 12.9.5 JD.com Recent Developments
- 12.10 FourKites
- 12.10.1 FourKites Company Information
- 12.10.2 FourKites Business Overview
- 12.10.3 FourKites Revenue in AI-Driven Supply Chain Optimization Business (2021-2026)
- 12.10.4 FourKites AI-Driven Supply Chain Optimization Product Portfolio
- 12.10.5 FourKites Recent Developments
- 12.11 Interos
- 12.11.1 Interos Company Information
- 12.11.2 Interos Business Overview
- 12.11.3 Interos Revenue in AI-Driven Supply Chain Optimization Business (2021-2026)
- 12.11.4 Interos AI-Driven Supply Chain Optimization Product Portfolio
- 12.11.5 Interos Recent Developments
- 12.12 Project44
- 12.12.1 Project44 Company Information
- 12.12.2 Project44 Business Overview
- 12.12.3 Project44 Revenue in AI-Driven Supply Chain Optimization Business (2021-2026)
- 12.12.4 Project44 AI-Driven Supply Chain Optimization Product Portfolio
- 12.12.5 Project44 Recent Developments
- 12.13 ToolsGroup SO99+
- 12.13.1 ToolsGroup SO99+ Company Information
- 12.13.2 ToolsGroup SO99+ Business Overview
- 12.13.3 ToolsGroup SO99+ Revenue in AI-Driven Supply Chain Optimization Business (2021-2026)
- 12.13.4 ToolsGroup SO99+ AI-Driven Supply Chain Optimization Product Portfolio
- 12.13.5 ToolsGroup SO99+ Recent Developments
- 12.14 IBM Sterling Supply Chain Intelligence Suite
- 12.14.1 IBM Sterling Supply Chain Intelligence Suite Company Information
- 12.14.2 IBM Sterling Supply Chain Intelligence Suite Business Overview
- 12.14.3 IBM Sterling Supply Chain Intelligence Suite Revenue in AI-Driven Supply Chain Optimization Business (2021-2026)
- 12.14.4 IBM Sterling Supply Chain Intelligence Suite AI-Driven Supply Chain Optimization Product Portfolio
- 12.14.5 IBM Sterling Supply Chain Intelligence Suite Recent Developments
- 12.15 Manhattan Associates
- 12.15.1 Manhattan Associates Company Information
- 12.15.2 Manhattan Associates Business Overview
- 12.15.3 Manhattan Associates Revenue in AI-Driven Supply Chain Optimization Business (2021-2026)
- 12.15.4 Manhattan Associates AI-Driven Supply Chain Optimization Product Portfolio
- 12.15.5 Manhattan Associates Recent Developments
13 Report Conclusion
14 Disclaimer
GET THE RESEARCH
Choose your license.
Choose who needs access.
All options are for this report and research series.
PDF by email within 3–5 working days after payment confirmation.
Talk to an analyst