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Industry Research
AI Supply Chain Optimization Software Industry Research Report 2026
Market perspective
The global AI Supply Chain Optimization Software 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 Supply Chain Optimization Software 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 Supply Chain Optimization Software 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 Supply Chain Optimization Software 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 Supply Chain Optimization Software include GEP, Optilogic, Kinaxis, Blue Yonder, Coupa Supply Chain, SAP, IBM, FourKites and Interos, 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 Supply Chain Optimization Software 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 Supply Chain Optimization Software.
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 Supply Chain Optimization Software Market by Company
GEP
Optilogic
Kinaxis
Blue Yonder
Coupa Supply Chain
SAP
IBM
FourKites
Interos
o9 Solutions
ThroughPut AI
AIMMS
Streamline
Lan Xing AI
AI Supply Chain Optimization Software Segment by Type
Prediction-Driven Software
Optimization Algorithm Software
Simulation Software
Cognitive Decision-Making Software
AI Supply Chain Optimization Software Segment by Application
Manufacturing
Retail
Logistics and Cold Chain
Others
AI Supply Chain Optimization Software 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
Colombia
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 Supply Chain Optimization Software 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 Supply Chain Optimization Software 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 Supply Chain Optimization Software.
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 Supply Chain Optimization Software 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
- Prediction-Driven Software
- Optimization Algorithm Software
- Simulation Software
- Cognitive Decision-Making Software
Applications
- Manufacturing
- Retail
- Logistics and Cold Chain
- Others
Companies covered
- GEP
- Optilogic
- Kinaxis
- Blue Yonder
- Coupa Supply Chain
- SAP
- IBM
- FourKites
- Interos
- o9 Solutions
- ThroughPut AI
- AIMMS
- Streamline
- Lan Xing AI
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 Supply Chain Optimization Software by Type
- 2.2.1 Market Value Comparison by Type (2021 VS 2025 VS 2032)
- 2.2.2 Prediction-Driven Software
- 2.2.3 Optimization Algorithm Software
- 2.2.4 Simulation Software
- 2.2.5 Cognitive Decision-Making Software
- 2.3 AI Supply Chain Optimization Software by Application
- 2.3.1 Market Value Comparison by Application (2021 VS 2025 VS 2032)
- 2.3.2 Manufacturing
- 2.3.3 Retail
- 2.3.4 Logistics and Cold Chain
- 2.3.5 Others
- 2.4 Assumptions and Limitations
3 AI Supply Chain Optimization Software Breakdown Data by Type
- 3.1 Global AI Supply Chain Optimization Software Historic Market Size by Type (2021-2026)
- 3.2 Global AI Supply Chain Optimization Software Forecasted Market Size by Type (2027-2032)
4 AI Supply Chain Optimization Software Breakdown Data by Application
- 4.1 Global AI Supply Chain Optimization Software Historic Market Size by Application (2021-2026)
- 4.2 Global AI Supply Chain Optimization Software Forecasted Market Size by Application (2027-2032)
5 Global Growth Trends
- 5.1 Global AI Supply Chain Optimization Software Market Perspective (2021-2032)
- 5.2 Global AI Supply Chain Optimization Software Growth Trends by Region
- 5.2.1 Global AI Supply Chain Optimization Software Market Size by Region: 2021 VS 2025 VS 2032
- 5.2.2 AI Supply Chain Optimization Software Historic Market Size by Region (2021-2026)
- 5.2.3 AI Supply Chain Optimization Software Forecasted Market Size by Region (2027-2032)
- 5.3 AI Supply Chain Optimization Software Market Dynamics
- 5.3.1 AI Supply Chain Optimization Software Industry Trends
- 5.3.2 AI Supply Chain Optimization Software Market Drivers
- 5.3.3 AI Supply Chain Optimization Software Market Challenges
- 5.3.4 AI Supply Chain Optimization Software Market Restraints
6 Market Competitive Landscape by Players
- 6.1 Global Top AI Supply Chain Optimization Software Players by Revenue
- 6.1.1 Global Top AI Supply Chain Optimization Software Players by Revenue (2021-2026)
- 6.1.2 Global AI Supply Chain Optimization Software Revenue Market Share by Players (2021-2026)
- 6.2 Global AI Supply Chain Optimization Software Industry Players Ranking, 2023 VS 2024 VS 2025
- 6.3 Global Key Players of AI Supply Chain Optimization Software Head Office and Area Served
- 6.4 Global AI Supply Chain Optimization Software Players, Product Type & Application
- 6.5 Global AI Supply Chain Optimization Software Manufacturers Established Date
- 6.6 Global AI Supply Chain Optimization Software Market CR5 and HHI
- 6.7 Global Players Mergers & Acquisition
7 North America
- 7.1 North America AI Supply Chain Optimization Software Market Size (2021-2032)
- 7.2 North America AI Supply Chain Optimization Software Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 7.3 North America AI Supply Chain Optimization Software Market Size by Country (2021-2026)
- 7.4 North America AI Supply Chain Optimization Software 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 Supply Chain Optimization Software Market Size (2021-2032)
- 8.2 Europe AI Supply Chain Optimization Software Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 8.3 Europe AI Supply Chain Optimization Software Market Size by Country (2021-2026)
- 8.4 Europe AI Supply Chain Optimization Software 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 Supply Chain Optimization Software Market Size (2021-2032)
- 9.2 Asia-Pacific AI Supply Chain Optimization Software Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 9.3 Asia-Pacific AI Supply Chain Optimization Software Market Size by Country (2021-2026)
- 9.4 Asia-Pacific AI Supply Chain Optimization Software 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 Supply Chain Optimization Software Market Size (2021-2032)
- 10.2 South America AI Supply Chain Optimization Software Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 10.3 South America AI Supply Chain Optimization Software Market Size by Country (2021-2026)
- 10.4 South America AI Supply Chain Optimization Software 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 Supply Chain Optimization Software Market Size (2021-2032)
- 11.2 Middle East & Africa AI Supply Chain Optimization Software Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 11.3 Middle East & Africa AI Supply Chain Optimization Software Market Size by Country (2021-2026)
- 11.4 Middle East & Africa AI Supply Chain Optimization Software 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 GEP
- 12.1.1 GEP Company Information
- 12.1.2 GEP Business Overview
- 12.1.3 GEP Revenue in AI Supply Chain Optimization Software Business (2021-2026)
- 12.1.4 GEP AI Supply Chain Optimization Software Product Portfolio
- 12.1.5 GEP Recent Developments
- 12.2 Optilogic
- 12.2.1 Optilogic Company Information
- 12.2.2 Optilogic Business Overview
- 12.2.3 Optilogic Revenue in AI Supply Chain Optimization Software Business (2021-2026)
- 12.2.4 Optilogic AI Supply Chain Optimization Software Product Portfolio
- 12.2.5 Optilogic Recent Developments
- 12.3 Kinaxis
- 12.3.1 Kinaxis Company Information
- 12.3.2 Kinaxis Business Overview
- 12.3.3 Kinaxis Revenue in AI Supply Chain Optimization Software Business (2021-2026)
- 12.3.4 Kinaxis AI Supply Chain Optimization Software Product Portfolio
- 12.3.5 Kinaxis 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 Supply Chain Optimization Software Business (2021-2026)
- 12.4.4 Blue Yonder AI Supply Chain Optimization Software Product Portfolio
- 12.4.5 Blue Yonder Recent Developments
- 12.5 Coupa Supply Chain
- 12.5.1 Coupa Supply Chain Company Information
- 12.5.2 Coupa Supply Chain Business Overview
- 12.5.3 Coupa Supply Chain Revenue in AI Supply Chain Optimization Software Business (2021-2026)
- 12.5.4 Coupa Supply Chain AI Supply Chain Optimization Software Product Portfolio
- 12.5.5 Coupa Supply Chain Recent Developments
- 12.6 SAP
- 12.6.1 SAP Company Information
- 12.6.2 SAP Business Overview
- 12.6.3 SAP Revenue in AI Supply Chain Optimization Software Business (2021-2026)
- 12.6.4 SAP AI Supply Chain Optimization Software Product Portfolio
- 12.6.5 SAP Recent Developments
- 12.7 IBM
- 12.7.1 IBM Company Information
- 12.7.2 IBM Business Overview
- 12.7.3 IBM Revenue in AI Supply Chain Optimization Software Business (2021-2026)
- 12.7.4 IBM AI Supply Chain Optimization Software Product Portfolio
- 12.7.5 IBM Recent Developments
- 12.8 FourKites
- 12.8.1 FourKites Company Information
- 12.8.2 FourKites Business Overview
- 12.8.3 FourKites Revenue in AI Supply Chain Optimization Software Business (2021-2026)
- 12.8.4 FourKites AI Supply Chain Optimization Software Product Portfolio
- 12.8.5 FourKites Recent Developments
- 12.9 Interos
- 12.9.1 Interos Company Information
- 12.9.2 Interos Business Overview
- 12.9.3 Interos Revenue in AI Supply Chain Optimization Software Business (2021-2026)
- 12.9.4 Interos AI Supply Chain Optimization Software Product Portfolio
- 12.9.5 Interos Recent Developments
- 12.10 o9 Solutions
- 12.10.1 o9 Solutions Company Information
- 12.10.2 o9 Solutions Business Overview
- 12.10.3 o9 Solutions Revenue in AI Supply Chain Optimization Software Business (2021-2026)
- 12.10.4 o9 Solutions AI Supply Chain Optimization Software Product Portfolio
- 12.10.5 o9 Solutions Recent Developments
- 12.11 ThroughPut AI
- 12.11.1 ThroughPut AI Company Information
- 12.11.2 ThroughPut AI Business Overview
- 12.11.3 ThroughPut AI Revenue in AI Supply Chain Optimization Software Business (2021-2026)
- 12.11.4 ThroughPut AI AI Supply Chain Optimization Software Product Portfolio
- 12.11.5 ThroughPut AI Recent Developments
- 12.12 AIMMS
- 12.12.1 AIMMS Company Information
- 12.12.2 AIMMS Business Overview
- 12.12.3 AIMMS Revenue in AI Supply Chain Optimization Software Business (2021-2026)
- 12.12.4 AIMMS AI Supply Chain Optimization Software Product Portfolio
- 12.12.5 AIMMS Recent Developments
- 12.13 Streamline
- 12.13.1 Streamline Company Information
- 12.13.2 Streamline Business Overview
- 12.13.3 Streamline Revenue in AI Supply Chain Optimization Software Business (2021-2026)
- 12.13.4 Streamline AI Supply Chain Optimization Software Product Portfolio
- 12.13.5 Streamline Recent Developments
- 12.14 Lan Xing AI
- 12.14.1 Lan Xing AI Company Information
- 12.14.2 Lan Xing AI Business Overview
- 12.14.3 Lan Xing AI Revenue in AI Supply Chain Optimization Software Business (2021-2026)
- 12.14.4 Lan Xing AI AI Supply Chain Optimization Software Product Portfolio
- 12.14.5 Lan Xing AI Recent Developments
13 Report Conclusion
14 Disclaimer
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