Artificial Intelligence (AI) Powered Supply Chain Planning Software Market Report 2026

Artificial Intelligence (AI) Powered Supply Chain Planning Software Market Overview

• Artificial Intelligence (AI) Powered Supply Chain Planning Software market size has reached to $8.81 billion in 2025 • Expected to grow to $26.72 billion in 2030 at a compound annual growth rate (CAGR) of 24.8% • Growth Driver: The Expansion Of E-Commerce Platforms Driving The Growth Of The Market Due To Increasing Internet Penetration • Market Trend: Advancements In Agentic Artificial Intelligence Transform Enterprise Supply Chain Operations • North America was the largest region in 2025 and Asia-Pacific is the fastest growing region.

What Is Covered Under Artificial Intelligence (AI) Powered Supply Chain Planning Software Market?

Artificial intelligence (AI)-powered supply chain planning software is a software solution that uses artificial intelligence, machine learning, predictive analytics, and real-time data to optimize supply chain planning, including demand forecasting, inventory management, production scheduling, procurement, and logistics. It enables organizations to make data-driven decisions, automate planning processes, improve operational efficiency, reduce costs, and enhance supply chain resilience by continuously adapting to changing market conditions and disruptions. The main components of artificial intelligence (AI) powered supply chain planning software include software and services. Software refers to digital applications that use AI capabilities to analyze supply chain data, support planning decisions, and improve the coordination of supply chain activities. These solutions use machine learning, predictive analytics, natural language processing, generative artificial intelligence, and deep learning technologies and are deployed through Cloud-Based, On-Premises, and hybrid models. The key applications include demand forecasting, inventory optimization, capacity planning, risk management, network planning, and replenishment planning, while the industrial verticals include manufacturing, retail and e commerce, healthcare, automotive, consumer goods, food and beverage, and others.

What Is The Artificial Intelligence (AI) Powered Supply Chain Planning Software Market Growth Forecast?

The artificial intelligence (AI) powered supply chain planning software market size is expected to see exponential growth in the next few years. It will grow to $26.72 billion in 2030 at a compound annual growth rate (CAGR) of 24.8%. The growth in the forecast period can be attributed to increasing demand for autonomous supply chain planning, rising need for continuous supply chain optimization, growing demand for disruption-aware planning, increasing adoption of predictive inventory planning, rising focus on adaptive procurement and production scheduling. Major trends in the forecast period include increasing adoption of ai-driven demand forecasting, rising use of real-time supply chain planning, growing adoption of automated inventory optimization, increasing focus on predictive supply chain risk management, rising demand for dynamic production and procurement planning.

What Is The Driver Of The Artificial Intelligence (AI) Powered Supply Chain Planning Software Market?

The growth in e-commerce is expected to propel the growth of the artificial intelligence (AI) powered supply chain planning software market going forward. E-commerce refers to the online buying and selling of products and services through digital platforms, websites, and mobile applications. Growth in e-commerce is due to increased internet penetration, which has enabled more people to access online platforms, shop conveniently, and engage in digital transactions from anywhere. Growth in e-commerce is driving demand for artificial intelligence-powered supply chain planning software to optimise inventory, forecast demand, and improve supply chain efficiency. E-commerce expansion is driving the adoption of artificial intelligence (AI)-powered supply chain planning software by increasing the need for accurate demand forecasting, real-time inventory optimisation, and efficient order fulfilment across complex and rapidly evolving supply networks. For instance, in February 2025, according to the Census Bureau, the US-based federal government's statistical agency, retail e-commerce sales reached $308.9 billion in the fourth quarter of 2024, reflecting a 9.4% increase compared to the fourth quarter of 2023. Therefore, the growth in e-commerce is driving the growth of the artificial intelligence (AI) powered supply chain planning software industry.

Key Players In The Global Artificial Intelligence (AI) Powered Supply Chain Planning Software Market

Major companies operating in the artificial intelligence (AI) powered supply chain planning software market are Microsoft Corporation, Oracle Corporation, SAP SE, International Business Machines Corporation, Dassault Systèmes SE, Infor Inc, Manhattan Associates Inc, Coupa Software Inc, SAS Institute Inc, Blue Yonder Group Inc, Kinaxis Inc, o9 Solutions Inc, Anaplan Inc, Epicor Software Corporation, RELEX Solutions Oy, ToolsGroup S.r.l., John Galt Solutions Inc, Adexa Inc, Lokad SAS, Streamline Inc, GAINS Systems LLC

Global Artificial Intelligence (AI) Powered Supply Chain Planning Software Market Trends and Insights

Major companies operating in the artificial intelligence (AI) powered supply chain planning software market are focusing on developing innovative solutions, such as agentic AI applications, to enhance autonomous decision-making, improve supply chain resilience, optimize inventory planning, and accelerate end-to-end operational execution. Agentic AI applications are advanced enterprise software solutions powered by coordinated AI agents that can reason, plan, and execute business processes autonomously, going beyond traditional AI assistants or rule-based automation tools by securely accessing enterprise data, workflows, policies, and transactional systems to make and implement decisions in real time. For instance, in April 2026, Oracle Corporation, a US-based enterprise software company, launched Oracle Fusion Agentic Applications for Finance and Supply Chain, an innovative suite of AI-powered enterprise applications designed to transform finance and supply chain operations. The solution incorporates specialized AI agents that proactively manage supply chain planning, inventory optimization, procurement, manufacturing, and logistics workflows while operating within Oracle Fusion Cloud applications. Unlike conventional planning software that primarily provides recommendations requiring manual intervention, the platform autonomously executes routine tasks, identifies exceptions, and recommends corrective actions using enterprise-wide contextual data. It also integrates with Oracle AI Agent Studio, enabling organizations to build and customize AI agents with governance, security, and approval controls for enterprise-scale deployment. The platform helps organizations reduce operational delays, improve working capital, enhance supply chain responsiveness, and increase planning accuracy through outcome-driven AI automation.

What Are Latest Mergers And Acquisitions In The Artificial Intelligence (AI) Powered Supply Chain Planning Software Market?

In February 2023, Thoma Bravo, LLC, a US-based private equity and technology investment company, acquired Coupa Software for $8.0 billion. With this acquisition, Thoma Bravo aims to strengthen its enterprise software portfolio by expanding its capabilities in cloud-based business spend management and enhancing its exposure to AI-driven procurement and supply chain optimization solutions for global enterprises. Coupa Software Incorporated is a US-based enterprise software company offering AI-powered supply chain planning solutions within its Business Spend Management (BSM) platform.

What Defines the Artificial Intelligence (AI) Powered Supply Chain Planning Software Market?

The artificial intelligence (AI)-powered supply chain planning software market includes revenues earned by entities by providing services such as demand forecasting and planning, inventory optimization and replenishment planning, production planning and scheduling, supply and procurement planning, and logistics and distribution planning. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.

How is Market Value Defined and Measured?

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified). The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

What Key Data and Analysis Are Included in the Artificial Intelligence (AI) Powered Supply Chain Planning Software Market Report 2026?

The artificial intelligence (ai) powered supply chain planning software market research report is one of a series of new reports from The Business Research Company that provides market statistics, including industry global market size, regional shares, competitors with the market share, detailed market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence (ai) powered supply chain planning software industry. The market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future state of the industry.