Selected research
Industry Growth & Trends
Global AI Supply Chain Optimization Software Industry Growth and Trends Forecast to 2032
Market perspective
According to APO Research, the global AI Supply Chain Optimization Software market was valued at US$ million in 2026 and is projected to reach US$ million by 2032, implying a CAGR of xx% over 2026-2032.
The North America market for AI Supply Chain Optimization Software is projected to increase from US$ million in 2026 to US$ million by 2032, corresponding to a CAGR of % over 2026-2032.
The Europe market for AI Supply Chain Optimization Software is projected to increase from US$ million in 2026 to US$ million by 2032, registering a CAGR of % over 2026-2032.
Read the full market overview
The Asia Pacific market for AI Supply Chain Optimization Software is projected to increase from US$ million in 2026 to US$ million by 2032, at a CAGR of % over 2026-2032.
Leading global companies in the AI Supply Chain Optimization Software market 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
This report provides a structured, data-driven view of the global AI Supply Chain Optimization Software market, combining harmonized quantitative metrics with targeted qualitative insight to support business and growth strategy, market positioning, and capital allocation.
The AI Supply Chain Optimization Software market size, estimates, and forecasts are presented in terms of revenue (US$ million), with 2025 as the base year and historical and forecast data for 2021-2032. The report segments the global AI Supply Chain Optimization Software market by Type, Application, region/country, and company, provides regional market sizes at the segment level, profiles the competitive landscape and key players and their market ranks, and reviews technology trends and new product developments relevant to AI Supply Chain Optimization Software.
Key Companies & Market Share Insights
This section analyzes the strategies and performance of leading companies in the global AI Supply Chain Optimization Software market, including portfolio focus, innovation and product development, mergers and acquisitions, collaborations, and geographic expansion used to sustain or enhance competitive positions. It also summarizes recent corporate developments and key financial indicators and provides global revenue and gross margin data by manufacturer for 2021-2026, enabling benchmarking of scale, profitability, and market share and supporting assessment of market concentration through indicators such as CR5 and CR10.
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
Russia
Spain
Netherlands
Switzerland
Sweden
Poland
Asia-Pacific
China
Japan
South Korea
India
Australia
Taiwan
Southeast Asia
South America
Brazil
Argentina
Chile
Colombia
Middle East & Africa
Egypt
South Africa
Israel
Türkiye
GCC Countries
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 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: Introduces the report scope of the report, executive summary of global and regional market size and CAGR for the history and forecast period (2021-2025, 2026-2031). 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 2: 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 3: 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 4: Introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 5: Detailed analysis of AI Supply Chain Optimization Software companies' competitive landscape, revenue, market share and ranking, latest development plan, merger, and acquisition information, etc.
Chapter 6: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product introduction, revenue, recent development, etc.
Chapter 7, 8, 9, 10 and 11: North America, Europe, Asia Pacific, South America, Middle East & Africa, revenue by country.
Chapter 12: Concluding Insights 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 Market Overview
- 1.1 Product Definition
- 1.2 Global Market Growth Prospects
- 1.3 Global AI Supply Chain Optimization Software Market Size Overview by Region 2021 VS 2025 VS 2032
- 1.4 Global AI Supply Chain Optimization Software Market Size by Region (2021-2032)
- 1.4.1 Global AI Supply Chain Optimization Software Market Size by Region (2021-2026)
- 1.4.2 Global AI Supply Chain Optimization Software Market Size by Region (2027-2032)
- 1.5 Key Regions AI Supply Chain Optimization Software Market Size (2021-2032)
- 1.5.1 North America AI Supply Chain Optimization Software Market Size Growth Rate (2021-2032)
- 1.5.2 Europe AI Supply Chain Optimization Software Market Size Growth Rate (2021-2032)
- 1.5.3 Asia-Pacific AI Supply Chain Optimization Software Market Size Growth Rate (2021-2032)
- 1.5.4 South America AI Supply Chain Optimization Software Market Size Growth Rate (2021-2032)
- 1.5.5 Middle East & Africa AI Supply Chain Optimization Software Market Size Growth Rate (2021-2032)
2 AI Supply Chain Optimization Software Market by Type
- 2.1 Type Introduction
- 2.1.1 Prediction-Driven Software
- 2.1.2 Optimization Algorithm Software
- 2.1.3 Simulation Software
- 2.1.4 Cognitive Decision-Making Software
- 2.2 Global AI Supply Chain Optimization Software Market Size by Type
- 2.2.1 Global AI Supply Chain Optimization Software Market Size Overview by Type (2021-2032)
- 2.2.2 Global AI Supply Chain Optimization Software Historic Market Size Review by Type (2021-2026)
- 2.2.3 Global AI Supply Chain Optimization Software Market Size Forecasted by Type (2027-2032)
- 2.3 Global AI Supply Chain Optimization Software Market Size by Regions
- 2.3.1 North America AI Supply Chain Optimization Software Market Size Breakdown by Type (2021-2026)
- 2.3.2 Europe AI Supply Chain Optimization Software Market Size Breakdown by Type (2021-2026)
- 2.3.3 Asia-Pacific AI Supply Chain Optimization Software Market Size Breakdown by Type (2021-2026)
- 2.3.4 South America AI Supply Chain Optimization Software Market Size Breakdown by Type (2021-2026)
- 2.3.5 Middle East and Africa AI Supply Chain Optimization Software Market Size Breakdown by Type (2021-2026)
3 AI Supply Chain Optimization Software Market by Application
- 3.1 Type Introduction
- 3.1.1 Manufacturing
- 3.1.2 Retail
- 3.1.3 Logistics and Cold Chain
- 3.1.4 Others
- 3.2 Global AI Supply Chain Optimization Software Market Size by Application
- 3.2.1 Global AI Supply Chain Optimization Software Market Size Overview by Application (2021-2032)
- 3.2.2 Global AI Supply Chain Optimization Software Historic Market Size Review by Application (2021-2026)
- 3.2.3 Global AI Supply Chain Optimization Software Market Size Forecasted by Application (2027-2032)
- 3.3 Global AI Supply Chain Optimization Software Market Size by Regions
- 3.3.1 North America AI Supply Chain Optimization Software Market Size Breakdown by Application (2021-2026)
- 3.3.2 Europe AI Supply Chain Optimization Software Market Size Breakdown by Application (2021-2026)
- 3.3.3 Asia-Pacific AI Supply Chain Optimization Software Market Size Breakdown by Application (2021-2026)
- 3.3.4 South America AI Supply Chain Optimization Software Market Size Breakdown by Application (2021-2026)
- 3.3.5 Middle East and Africa AI Supply Chain Optimization Software Market Size Breakdown by Application (2021-2026)
4 Global Market Dynamics
- 4.1 AI Supply Chain Optimization Software Industry Trends
- 4.2 AI Supply Chain Optimization Software Industry Drivers
- 4.3 AI Supply Chain Optimization Software Industry Opportunities and Challenges
- 4.4 AI Supply Chain Optimization Software Industry Restraints
5 Competitive Insights by Company
- 5.1 Global Top Players by AI Supply Chain Optimization Software Revenue (2021-2026)
- 5.2 Global AI Supply Chain Optimization Software Industry Company Ranking, 2024 VS 2025 VS 2026
- 5.3 Global AI Supply Chain Optimization Software Key Company Headquarters & Area Served
- 5.4 Global AI Supply Chain Optimization Software Company, Product Type & Application
- 5.5 Global AI Supply Chain Optimization Software Company Commercialization Time
- 5.6 Market Competitive Analysis
- 5.6.1 Global AI Supply Chain Optimization Software Market CR5 and HHI
- 5.6.2 Global Top 5 and 10 AI Supply Chain Optimization Software Players Market Share by Revenue in 2025
- 5.6.3 2025 AI Supply Chain Optimization Software Tier 1, Tier 2, and Tier 3
6 Company Profiles
- 6.1 GEP
- 6.1.1 GEP Company Information
- 6.1.2 GEP Business Overview
- 6.1.3 GEP AI Supply Chain Optimization Software Revenue, Global Share and Gross Margin (2021-2026)
- 6.1.4 GEP AI Supply Chain Optimization Software Product Portfolio
- 6.1.5 GEP Recent Developments
- 6.2 Optilogic
- 6.2.1 Optilogic Company Information
- 6.2.2 Optilogic Business Overview
- 6.2.3 Optilogic AI Supply Chain Optimization Software Revenue, Global Share and Gross Margin (2021-2026)
- 6.2.4 Optilogic AI Supply Chain Optimization Software Product Portfolio
- 6.2.5 Optilogic Recent Developments
- 6.3 Kinaxis
- 6.3.1 Kinaxis Company Information
- 6.3.2 Kinaxis Business Overview
- 6.3.3 Kinaxis AI Supply Chain Optimization Software Revenue, Global Share and Gross Margin (2021-2026)
- 6.3.4 Kinaxis AI Supply Chain Optimization Software Product Portfolio
- 6.3.5 Kinaxis Recent Developments
- 6.4 Blue Yonder
- 6.4.1 Blue Yonder Company Information
- 6.4.2 Blue Yonder Business Overview
- 6.4.3 Blue Yonder AI Supply Chain Optimization Software Revenue, Global Share and Gross Margin (2021-2026)
- 6.4.4 Blue Yonder AI Supply Chain Optimization Software Product Portfolio
- 6.4.5 Blue Yonder Recent Developments
- 6.5 Coupa Supply Chain
- 6.5.1 Coupa Supply Chain Company Information
- 6.5.2 Coupa Supply Chain Business Overview
- 6.5.3 Coupa Supply Chain AI Supply Chain Optimization Software Revenue, Global Share and Gross Margin (2021-2026)
- 6.5.4 Coupa Supply Chain AI Supply Chain Optimization Software Product Portfolio
- 6.5.5 Coupa Supply Chain Recent Developments
- 6.6 SAP
- 6.6.1 SAP Company Information
- 6.6.2 SAP Business Overview
- 6.6.3 SAP AI Supply Chain Optimization Software Revenue, Global Share and Gross Margin (2021-2026)
- 6.6.4 SAP AI Supply Chain Optimization Software Product Portfolio
- 6.6.5 SAP Recent Developments
- 6.7 IBM
- 6.7.1 IBM Company Information
- 6.7.2 IBM Business Overview
- 6.7.3 IBM AI Supply Chain Optimization Software Revenue, Global Share and Gross Margin (2021-2026)
- 6.7.4 IBM AI Supply Chain Optimization Software Product Portfolio
- 6.7.5 IBM Recent Developments
- 6.8 FourKites
- 6.8.1 FourKites Company Information
- 6.8.2 FourKites Business Overview
- 6.8.3 FourKites AI Supply Chain Optimization Software Revenue, Global Share and Gross Margin (2021-2026)
- 6.8.4 FourKites AI Supply Chain Optimization Software Product Portfolio
- 6.8.5 FourKites Recent Developments
- 6.9 Interos
- 6.9.1 Interos Company Information
- 6.9.2 Interos Business Overview
- 6.9.3 Interos AI Supply Chain Optimization Software Revenue, Global Share and Gross Margin (2021-2026)
- 6.9.4 Interos AI Supply Chain Optimization Software Product Portfolio
- 6.9.5 Interos Recent Developments
- 6.10 o9 Solutions
- 6.10.1 o9 Solutions Company Information
- 6.10.2 o9 Solutions Business Overview
- 6.10.3 o9 Solutions AI Supply Chain Optimization Software Revenue, Global Share and Gross Margin (2021-2026)
- 6.10.4 o9 Solutions AI Supply Chain Optimization Software Product Portfolio
- 6.10.5 o9 Solutions Recent Developments
- 6.11 ThroughPut AI
- 6.11.1 ThroughPut AI Company Information
- 6.11.2 ThroughPut AI Business Overview
- 6.11.3 ThroughPut AI AI Supply Chain Optimization Software Revenue, Global Share and Gross Margin (2021-2026)
- 6.11.4 ThroughPut AI AI Supply Chain Optimization Software Product Portfolio
- 6.11.5 ThroughPut AI Recent Developments
- 6.12 AIMMS
- 6.12.1 AIMMS Company Information
- 6.12.2 AIMMS Business Overview
- 6.12.3 AIMMS AI Supply Chain Optimization Software Revenue, Global Share and Gross Margin (2021-2026)
- 6.12.4 AIMMS AI Supply Chain Optimization Software Product Portfolio
- 6.12.5 AIMMS Recent Developments
- 6.13 Streamline
- 6.13.1 Streamline Company Information
- 6.13.2 Streamline Business Overview
- 6.13.3 Streamline AI Supply Chain Optimization Software Revenue, Global Share and Gross Margin (2021-2026)
- 6.13.4 Streamline AI Supply Chain Optimization Software Product Portfolio
- 6.13.5 Streamline Recent Developments
- 6.14 Lan Xing AI
- 6.14.1 Lan Xing AI Company Information
- 6.14.2 Lan Xing AI Business Overview
- 6.14.3 Lan Xing AI AI Supply Chain Optimization Software Revenue, Global Share and Gross Margin (2021-2026)
- 6.14.4 Lan Xing AI AI Supply Chain Optimization Software Product Portfolio
- 6.14.5 Lan Xing AI Recent Developments
7 North America
- 7.1 North America AI Supply Chain Optimization Software Market Size Growth Rate (CAGR) by Country: 2021 VS 2025 VS 2032
- 7.2 North America AI Supply Chain Optimization Software Market Size by Country (2021-2026)
- 7.3 North America AI Supply Chain Optimization Software Market Size Forecast by Country (2027-2032)
8 Europe
- 8.1 Europe AI Supply Chain Optimization Software Market Size Growth Rate (CAGR) by Country: 2021 VS 2025 VS 2032
- 8.2 Europe AI Supply Chain Optimization Software Market Size by Country (2021-2026)
- 8.3 Europe AI Supply Chain Optimization Software Market Size Forecast by Country (2027-2032)
9 Asia-Pacific
- 9.1 Asia-Pacific AI Supply Chain Optimization Software Market Size Growth Rate (CAGR) by Country: 2021 VS 2025 VS 2032
- 9.2 Asia-Pacific AI Supply Chain Optimization Software Market Size by Country (2021-2026)
- 9.3 Asia-Pacific AI Supply Chain Optimization Software Market Size Forecast by Country (2027-2032)
10 South America
- 10.1 South America AI Supply Chain Optimization Software Market Size Growth Rate (CAGR) by Country: 2021 VS 2025 VS 2032
- 10.2 South America AI Supply Chain Optimization Software Market Size by Country (2021-2026)
- 10.3 South America AI Supply Chain Optimization Software Market Size Forecast by Country (2027-2032)
11 Middle East & Africa
- 11.1 Middle East & Africa AI Supply Chain Optimization Software Market Size Growth Rate (CAGR) by Country: 2021 VS 2025 VS 2032
- 11.2 Middle East & Africa AI Supply Chain Optimization Software Market Size by Country (2021-2026)
- 11.3 Middle East & Africa AI Supply Chain Optimization Software Market Size Forecast by Country (2027-2032)
12 Concluding Insights
13 Appendix
- 13.1 Reasons for Doing This Study
- 13.2 Research Methodology
- 13.3 Research Process
- 13.4 Authors List of This Report
- 13.5 Data Source
- 13.5.1 Secondary Sources
- 13.5.2 Primary Sources
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