According to our (Global Info Research) latest study, the global AI-Powered Supply Chain Planning Software market size was valued at US$ million in 2025 and is forecast to a readjusted size of US$ million by 2032 with a CAGR of %during review period.
AI-Powered Supply Chain Planning Software refers to advanced technological solutions that leverage artificial intelligence (AI) algorithms and machine learning capabilities to optimize and streamline various aspects of supply chain management. This software is designed to enhance decision-making processes, improve efficiency, and mitigate risks within the supply chain by analyzing vast amounts of data and generating actionable insights. It encompasses functionalities such as demand forecasting, inventory optimization, logistics planning, and supplier management, utilizing AI algorithms to adapt to changing market conditions, anticipate demand fluctuations, and identify opportunities for operational improvements. The software aims to provide organizations with real-time visibility into their supply chain, facilitating proactive decision-making and enabling businesses to respond swiftly to disruptions. The AI-powered elements contribute to enhanced predictive analytics, allowing for more accurate demand forecasts and optimized resource allocation. Overall, AI-Powered Supply Chain Planning Software plays a crucial role in modernizing supply chain operations, fostering agility, resilience, and efficiency in the face of dynamic market conditions.
The market for AI-Powered Supply Chain Planning Software has been experiencing significant growth, fueled by the increasing recognition of artificial intelligence"s transformative potential in optimizing supply chain operations. The market status indicates a rising adoption of these software solutions across industries seeking to enhance efficiency, reduce costs, and mitigate risks in their supply chain processes. Market drivers include the growing complexity of global supply chains, the need for real-time decision-making, and the desire for predictive analytics to address disruptions and uncertainties. Future development trends in the AI-Powered Supply Chain Planning Software market are anticipated to focus on further integration of advanced analytics, machine learning, and prescriptive capabilities. Enhanced visibility, collaboration, and demand forecasting accuracy may become key areas of innovation. The use of AI to optimize inventory management, streamline logistics, and improve demand-supply matching is expected to advance. However, potential inhibitors may include concerns related to data security, the complexity of implementing AI solutions, and the initial investment required for adoption. The overall trajectory suggests continued growth, driven by the ongoing digital transformation of supply chain management and the quest for resilient, agile, and data-driven approaches.
This report is a detailed and comprehensive analysis for global AI-Powered Supply Chain Planning 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-Powered Supply Chain Planning Software market size and forecasts, in consumption value ($ Million), 2021-2032
Global AI-Powered Supply Chain Planning Software market size and forecasts by region and country, in consumption value ($ Million), 2021-2032
Global AI-Powered Supply Chain Planning Software market size and forecasts, by Type and by Application, in consumption value ($ Million), 2021-2032
Global AI-Powered Supply Chain Planning 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-Powered Supply Chain Planning 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-Powered Supply Chain Planning 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 Magaya, Logility, IBM, Solvoyo, LLamasoft, ThroughPut, Blue Yonder, Advanced Supply Chain Group, Algo, Agatha, etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.
Market segmentation
AI-Powered Supply Chain Planning 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
On Premises
Cloud-based
Market segment by Application
SMEs
Large Enterprises
Market segment by players, this report covers
Magaya
Logility
IBM
Solvoyo
LLamasoft
ThroughPut
Blue Yonder
Advanced Supply Chain Group
Algo
Agatha
SAP Ariba
Kinaxis
o9 Solutions
e2open
FourKites
Vuealta
Oracle
project44
New Horizon
GEP
Optiwiser A.I.
ToolsGroup
Optiwiser AI Solutions
Firstshift
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-Powered Supply Chain Planning Software product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of AI-Powered Supply Chain Planning Software, with revenue, gross margin, and global market share of AI-Powered Supply Chain Planning Software from 2021 to 2026.
Chapter 3, the AI-Powered Supply Chain Planning 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-Powered Supply Chain Planning 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-Powered Supply Chain Planning Software.
Chapter 13, to describe AI-Powered Supply Chain Planning Software research findings and conclusion.
Summary:
Get latest Market Research Reports on AI-Powered Supply Chain Planning Software. Industry analysis & Market Report on AI-Powered Supply Chain Planning Software is a syndicated market report, published as Global AI-Powered Supply Chain Planning Software Market 2026 by Company, Regions, Type and Application, Forecast to 2032. It is complete Research Study and Industry Analysis of AI-Powered Supply Chain Planning Software market, to understand, Market Demand, Growth, trends analysis and Factor Influencing market.