According to our (Global Info Research) latest study, the global AI Supply Chain Optimization Software market size was valued at US$ 109 million in 2025 and is forecast to a readjusted size of US$ 173 million by 2032 with a CAGR of 6.7% during review period.
AI Supply Chain Optimization Software refers to a software system that deeply integrates machine learning, operations research algorithms, predictive analytics, and IoT data to achieve intelligent decision-making throughout the entire supply chain. It can automatically handle complex processes such as procurement, production, inventory, warehousing, transportation, and demand forecasting. Through real-time data analysis, it identifies bottlenecks, predicts disruption risks, and dynamically generates optimal replenishment strategies, inventory allocation plans, and transportation route planning. This software not only significantly reduces operating costs and inventory backlog but also improves responsiveness and supply chain resilience. It enables adaptive adjustments in uncertain environments such as demand fluctuations and supply disruptions, making it a core intelligent engine for modern enterprises to build agile, efficient, and predictable supply chain systems.
This report is a detailed and comprehensive analysis for global AI Supply Chain Optimization Software market. Both quantitative and qualitative analyses are presented by company, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2025, are provided.
Key Features:
Global AI Supply Chain Optimization Software market size and forecasts, in consumption value ($ Million), 2021-2032
Global AI Supply Chain Optimization Software market size and forecasts by region and country, in consumption value ($ Million), 2021-2032
Global AI Supply Chain Optimization Software market size and forecasts, by Type and by Application, in consumption value ($ Million), 2021-2032
Global AI Supply Chain Optimization Software market shares of main players, in revenue ($ Million), 2021-2026
The Primary Objectives in This Report Are:
To determine the size of the total market opportunity of global and key countries
To assess the growth potential for AI Supply Chain Optimization Software
To forecast future growth in each product and end-use market
To assess competitive factors affecting the marketplace
This report profiles key players in the global AI Supply Chain Optimization Software market based on the following parameters - company overview, revenue, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include GEP, Optilogic, Kinaxis, Blue Yonder, Coupa Supply Chain, SAP, IBM, FourKites, Interos, o9 Solutions, etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.
Market segmentation
AI Supply Chain Optimization Software market is split by Type and by Application. For the period 2021-2032, the growth among segments provides accurate calculations and forecasts for Consumption Value by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.
Market segment by Type
Prediction-Driven Software
Optimization Algorithm Software
Simulation Software
Cognitive Decision-Making Software
Market segment by Deployment
On Premise Software
Cloud-Based Software
Market segment by Layer
Strategic Layer Software
Tactical Layer Software
Execution Layer Software
Market segment by Application
Manufacturing
Retail
Logistics and Cold Chain
Others
Market segment by players, this report covers
GEP
Optilogic
Kinaxis
Blue Yonder
Coupa Supply Chain
SAP
IBM
FourKites
Interos
o9 Solutions
ThroughPut AI
AIMMS
Streamline
Lan Xing AI
Market segment by regions, regional analysis covers
North America (United States, Canada and Mexico)
Europe (Germany, France, UK, Russia, Italy and Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia and Rest of Asia-Pacific)
South America (Brazil, Rest of South America)
Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)
The content of the study subjects, includes a total of 13 chapters:
Chapter 1, to describe AI Supply Chain Optimization Software product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of AI Supply Chain Optimization Software, with revenue, gross margin, and global market share of AI Supply Chain Optimization Software from 2021 to 2026.
Chapter 3, the AI Supply Chain Optimization Software competitive situation, revenue, and global market share of top players are analyzed emphatically by landscape contrast.
Chapter 4 and 5, to segment the market size by Type and by Application, with consumption value and growth rate by Type, by Application, from 2021 to 2032.
Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2021 to 2026.and AI Supply Chain Optimization Software market forecast, by regions, by Type and by Application, with consumption value, from 2027 to 2032.
Chapter 11, market dynamics, drivers, restraints, trends, Porters Five Forces analysis.
Chapter 12, the key raw materials and key suppliers, and industry chain of AI Supply Chain Optimization Software.
Chapter 13, to describe AI Supply Chain Optimization Software research findings and conclusion.
Summary:
Get latest Market Research Reports on AI Supply Chain Optimization Software. Industry analysis & Market Report on AI Supply Chain Optimization Software is a syndicated market report, published as Global AI Supply Chain Optimization Software Market 2026 by Company, Regions, Type and Application, Forecast to 2032. It is complete Research Study and Industry Analysis of AI Supply Chain Optimization Software market, to understand, Market Demand, Growth, trends analysis and Factor Influencing market.