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Industry Research
AI Supply Chain Logistics Management Software Industry Research Report 2026
Market perspective
The global AI Supply Chain Logistics Management 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 Logistics Management 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 Logistics Management 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 Logistics Management 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 Logistics Management Software include ThroughPut AI, Logility, Blue Yonder, Oracle, IBM, GEP, O9solutions, AutoScheduler and Magaya, 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 Logistics Management 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 Logistics Management 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 Logistics Management Software Market by Company
ThroughPut AI
Logility
Blue Yonder
Oracle
IBM
GEP
O9solutions
AutoScheduler
Magaya
Algo
SAP
C3.AI
NextGen Invent
Coupa
AWS
AI Supply Chain Logistics Management Software Segment by Type
Cloud Based
On Premise
AI Supply Chain Logistics Management Software Segment by Application
Large Enterprises
SMEs
AI Supply Chain Logistics Management 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
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 Logistics Management 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 Logistics Management 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 Logistics Management 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 Logistics Management 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
- Cloud Based
- On Premise
Applications
- Large Enterprises
- SMEs
Companies covered
- ThroughPut AI
- Logility
- Blue Yonder
- Oracle
- IBM
- GEP
- O9solutions
- AutoScheduler
- Magaya
- Algo
- SAP
- C3.AI
- NextGen Invent
- Coupa
- AWS
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 Logistics Management Software by Type
- 2.2.1 Market Value Comparison by Type (2021 VS 2025 VS 2032)
- 2.2.2 Cloud Based
- 2.2.3 On Premise
- 2.3 AI Supply Chain Logistics Management Software by Application
- 2.3.1 Market Value Comparison by Application (2021 VS 2025 VS 2032)
- 2.3.2 Large Enterprises
- 2.3.3 SMEs
- 2.4 Assumptions and Limitations
3 AI Supply Chain Logistics Management Software Breakdown Data by Type
- 3.1 Global AI Supply Chain Logistics Management Software Historic Market Size by Type (2021-2026)
- 3.2 Global AI Supply Chain Logistics Management Software Forecasted Market Size by Type (2027-2032)
4 AI Supply Chain Logistics Management Software Breakdown Data by Application
- 4.1 Global AI Supply Chain Logistics Management Software Historic Market Size by Application (2021-2026)
- 4.2 Global AI Supply Chain Logistics Management Software Forecasted Market Size by Application (2027-2032)
5 Global Growth Trends
- 5.1 Global AI Supply Chain Logistics Management Software Market Perspective (2021-2032)
- 5.2 Global AI Supply Chain Logistics Management Software Growth Trends by Region
- 5.2.1 Global AI Supply Chain Logistics Management Software Market Size by Region: 2021 VS 2025 VS 2032
- 5.2.2 AI Supply Chain Logistics Management Software Historic Market Size by Region (2021-2026)
- 5.2.3 AI Supply Chain Logistics Management Software Forecasted Market Size by Region (2027-2032)
- 5.3 AI Supply Chain Logistics Management Software Market Dynamics
- 5.3.1 AI Supply Chain Logistics Management Software Industry Trends
- 5.3.2 AI Supply Chain Logistics Management Software Market Drivers
- 5.3.3 AI Supply Chain Logistics Management Software Market Challenges
- 5.3.4 AI Supply Chain Logistics Management Software Market Restraints
6 Market Competitive Landscape by Players
- 6.1 Global Top AI Supply Chain Logistics Management Software Players by Revenue
- 6.1.1 Global Top AI Supply Chain Logistics Management Software Players by Revenue (2021-2026)
- 6.1.2 Global AI Supply Chain Logistics Management Software Revenue Market Share by Players (2021-2026)
- 6.2 Global AI Supply Chain Logistics Management Software Industry Players Ranking, 2023 VS 2024 VS 2025
- 6.3 Global Key Players of AI Supply Chain Logistics Management Software Head Office and Area Served
- 6.4 Global AI Supply Chain Logistics Management Software Players, Product Type & Application
- 6.5 Global AI Supply Chain Logistics Management Software Manufacturers Established Date
- 6.6 Global AI Supply Chain Logistics Management Software Market CR5 and HHI
- 6.7 Global Players Mergers & Acquisition
7 North America
- 7.1 North America AI Supply Chain Logistics Management Software Market Size (2021-2032)
- 7.2 North America AI Supply Chain Logistics Management Software Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 7.3 North America AI Supply Chain Logistics Management Software Market Size by Country (2021-2026)
- 7.4 North America AI Supply Chain Logistics Management 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 Logistics Management Software Market Size (2021-2032)
- 8.2 Europe AI Supply Chain Logistics Management Software Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 8.3 Europe AI Supply Chain Logistics Management Software Market Size by Country (2021-2026)
- 8.4 Europe AI Supply Chain Logistics Management 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 Logistics Management Software Market Size (2021-2032)
- 9.2 Asia-Pacific AI Supply Chain Logistics Management Software Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 9.3 Asia-Pacific AI Supply Chain Logistics Management Software Market Size by Country (2021-2026)
- 9.4 Asia-Pacific AI Supply Chain Logistics Management 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 Logistics Management Software Market Size (2021-2032)
- 10.2 South America AI Supply Chain Logistics Management Software Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 10.3 South America AI Supply Chain Logistics Management Software Market Size by Country (2021-2026)
- 10.4 South America AI Supply Chain Logistics Management 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 Logistics Management Software Market Size (2021-2032)
- 11.2 Middle East & Africa AI Supply Chain Logistics Management Software Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 11.3 Middle East & Africa AI Supply Chain Logistics Management Software Market Size by Country (2021-2026)
- 11.4 Middle East & Africa AI Supply Chain Logistics Management 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 ThroughPut AI
- 12.1.1 ThroughPut AI Company Information
- 12.1.2 ThroughPut AI Business Overview
- 12.1.3 ThroughPut AI Revenue in AI Supply Chain Logistics Management Software Business (2021-2026)
- 12.1.4 ThroughPut AI AI Supply Chain Logistics Management Software Product Portfolio
- 12.1.5 ThroughPut AI Recent Developments
- 12.2 Logility
- 12.2.1 Logility Company Information
- 12.2.2 Logility Business Overview
- 12.2.3 Logility Revenue in AI Supply Chain Logistics Management Software Business (2021-2026)
- 12.2.4 Logility AI Supply Chain Logistics Management Software Product Portfolio
- 12.2.5 Logility Recent Developments
- 12.3 Blue Yonder
- 12.3.1 Blue Yonder Company Information
- 12.3.2 Blue Yonder Business Overview
- 12.3.3 Blue Yonder Revenue in AI Supply Chain Logistics Management Software Business (2021-2026)
- 12.3.4 Blue Yonder AI Supply Chain Logistics Management Software Product Portfolio
- 12.3.5 Blue Yonder Recent Developments
- 12.4 Oracle
- 12.4.1 Oracle Company Information
- 12.4.2 Oracle Business Overview
- 12.4.3 Oracle Revenue in AI Supply Chain Logistics Management Software Business (2021-2026)
- 12.4.4 Oracle AI Supply Chain Logistics Management Software Product Portfolio
- 12.4.5 Oracle Recent Developments
- 12.5 IBM
- 12.5.1 IBM Company Information
- 12.5.2 IBM Business Overview
- 12.5.3 IBM Revenue in AI Supply Chain Logistics Management Software Business (2021-2026)
- 12.5.4 IBM AI Supply Chain Logistics Management Software Product Portfolio
- 12.5.5 IBM Recent Developments
- 12.6 GEP
- 12.6.1 GEP Company Information
- 12.6.2 GEP Business Overview
- 12.6.3 GEP Revenue in AI Supply Chain Logistics Management Software Business (2021-2026)
- 12.6.4 GEP AI Supply Chain Logistics Management Software Product Portfolio
- 12.6.5 GEP Recent Developments
- 12.7 O9solutions
- 12.7.1 O9solutions Company Information
- 12.7.2 O9solutions Business Overview
- 12.7.3 O9solutions Revenue in AI Supply Chain Logistics Management Software Business (2021-2026)
- 12.7.4 O9solutions AI Supply Chain Logistics Management Software Product Portfolio
- 12.7.5 O9solutions Recent Developments
- 12.8 AutoScheduler
- 12.8.1 AutoScheduler Company Information
- 12.8.2 AutoScheduler Business Overview
- 12.8.3 AutoScheduler Revenue in AI Supply Chain Logistics Management Software Business (2021-2026)
- 12.8.4 AutoScheduler AI Supply Chain Logistics Management Software Product Portfolio
- 12.8.5 AutoScheduler Recent Developments
- 12.9 Magaya
- 12.9.1 Magaya Company Information
- 12.9.2 Magaya Business Overview
- 12.9.3 Magaya Revenue in AI Supply Chain Logistics Management Software Business (2021-2026)
- 12.9.4 Magaya AI Supply Chain Logistics Management Software Product Portfolio
- 12.9.5 Magaya Recent Developments
- 12.10 Algo
- 12.10.1 Algo Company Information
- 12.10.2 Algo Business Overview
- 12.10.3 Algo Revenue in AI Supply Chain Logistics Management Software Business (2021-2026)
- 12.10.4 Algo AI Supply Chain Logistics Management Software Product Portfolio
- 12.10.5 Algo Recent Developments
- 12.11 SAP
- 12.11.1 SAP Company Information
- 12.11.2 SAP Business Overview
- 12.11.3 SAP Revenue in AI Supply Chain Logistics Management Software Business (2021-2026)
- 12.11.4 SAP AI Supply Chain Logistics Management Software Product Portfolio
- 12.11.5 SAP Recent Developments
- 12.12 C3.AI
- 12.12.1 C3.AI Company Information
- 12.12.2 C3.AI Business Overview
- 12.12.3 C3.AI Revenue in AI Supply Chain Logistics Management Software Business (2021-2026)
- 12.12.4 C3.AI AI Supply Chain Logistics Management Software Product Portfolio
- 12.12.5 C3.AI Recent Developments
- 12.13 NextGen Invent
- 12.13.1 NextGen Invent Company Information
- 12.13.2 NextGen Invent Business Overview
- 12.13.3 NextGen Invent Revenue in AI Supply Chain Logistics Management Software Business (2021-2026)
- 12.13.4 NextGen Invent AI Supply Chain Logistics Management Software Product Portfolio
- 12.13.5 NextGen Invent Recent Developments
- 12.14 Coupa
- 12.14.1 Coupa Company Information
- 12.14.2 Coupa Business Overview
- 12.14.3 Coupa Revenue in AI Supply Chain Logistics Management Software Business (2021-2026)
- 12.14.4 Coupa AI Supply Chain Logistics Management Software Product Portfolio
- 12.14.5 Coupa Recent Developments
- 12.15 AWS
- 12.15.1 AWS Company Information
- 12.15.2 AWS Business Overview
- 12.15.3 AWS Revenue in AI Supply Chain Logistics Management Software Business (2021-2026)
- 12.15.4 AWS AI Supply Chain Logistics Management Software Product Portfolio
- 12.15.5 AWS Recent Developments
13 Report Conclusion
14 Disclaimer
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