Global AI Supply Chain Optimization Software Market Growth (Status and Outlook) 2026-2032

The global AI Supply Chain Optimization Software market size is predicted to grow from US$ 103 million in 2025 to US$ 168 million in 2032; it is expected to grow at a CAGR of 7.1% from 2026 to 2032.

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.

United States market for AI Supply Chain Optimization Software is estimated to increase from US$ million in 2025 to US$ million by 2032, at a CAGR of % from 2026 through 2032.

China market for AI Supply Chain Optimization Software is estimated to increase from US$ million in 2025 to US$ million by 2032, at a CAGR of % from 2026 through 2032.

Europe market for AI Supply Chain Optimization Software is estimated to increase from US$ million in 2025 to US$ million by 2032, at a CAGR of % from 2026 through 2032.

Global key AI Supply Chain Optimization Software players cover GEP, Optilogic, Kinaxis, Blue Yonder, Coupa Supply Chain, etc. In terms of revenue, the global two largest companies occupied for a share nearly % in 2025.

LPI (LP Information)' newest research report, the “AI Supply Chain Optimization Software Industry Forecast” looks at past sales and reviews total world AI Supply Chain Optimization Software sales in 2025, providing a comprehensive analysis by region and market sector of projected AI Supply Chain Optimization Software sales for 2026 through 2032. With AI Supply Chain Optimization Software sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world AI Supply Chain Optimization Software industry.

This Insight Report provides a comprehensive analysis of the global AI Supply Chain Optimization Software landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyses the strategies of leading global companies with a focus on AI Supply Chain Optimization Software portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global AI Supply Chain Optimization Software market.

This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for AI Supply Chain Optimization Software and breaks down the forecast by Type, by Application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global AI Supply Chain Optimization Software.

This report presents a comprehensive overview, market shares, and growth opportunities of AI Supply Chain Optimization Software market by product type, application, key players and key regions and countries.

Segmentation by Type:
Prediction-Driven Software
Optimization Algorithm Software
Simulation Software
Cognitive Decision-Making Software

Segmentation by Deployment:
On Premise Software
Cloud-Based Software

Segmentation by Layer:
Strategic Layer Software
Tactical Layer Software
Execution Layer Software

Segmentation by Application:
Manufacturing
Retail
Logistics and Cold Chain
Others

This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries

The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
GEP
Optilogic
Kinaxis
Blue Yonder
Coupa Supply Chain
SAP
IBM
FourKites
Interos
o9 Solutions
ThroughPut AI
AIMMS
Streamline
Lan Xing AI

Please note: The report will take approximately 2 business days to prepare and deliver. Show more