Built to provide research that’s more actionable and strategically valuable, The Business Research Company’s 2026 market reports include market attractiveness analysis, total addressable market sizing, company benchmarking matrices, interactive Excel dashboards, broader supply chain intelligence, emerging startup tracking, and in-depth product insights.
Artificial Intelligence (AI) Powered Supply Chain Planning Software Market Size And Revenue Outlook Through 2030
The market for artificial intelligence (AI) powered supply chain planning software has seen an exponential expansion in its size over recent years. This market is projected to expand from $8.81 billion in 2025 to $11.03 billion in 2026, demonstrating a compound annual growth rate (CAGR) of 25.2%. Historically, this expansion has been driven by factors such as increasing supply chain complexity, a rising demand for precise demand forecasting, growing difficulties in inventory management, a greater frequency of supply chain disruptions, and the escalating need for quicker planning decisions.
The market for artificial intelligence (AI) powered supply chain planning software is projected to experience rapid expansion over the coming years. This market is anticipated to reach a valuation of $26.72 billion by 2030, exhibiting a compound annual growth rate (CAGR) of 24.8%. This expansion during the projection period stems from factors such as an escalating demand for autonomous supply chain planning, a heightened need for ongoing supply chain optimization, a growing requirement for disruption-aware planning, the wider adoption of predictive inventory planning, and an increased emphasis on adaptive procurement and production scheduling. Key developments anticipated within this forecast timeframe encompass a greater uptake of AI-driven demand forecasting, an increase in the utilization of real-time supply chain planning, the expanding adoption of automated inventory optimization, a stronger focus on predictive supply chain risk management, and a growing call for dynamic production and procurement planning.
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Artificial Intelligence (AI) Powered Supply Chain Planning Software Market Growth Backed By Core Demand Fundamentals
The expansion of e-commerce is projected to drive the artificial intelligence (AI) powered supply chain planning software market forward. E-commerce encompasses the digital purchasing and selling of goods and services via online platforms, websites, and mobile applications. This surge in e-commerce stems from greater internet penetration, enabling more individuals to access online platforms, shop conveniently, and conduct digital transactions from any location. This growth fuels the demand for artificial intelligence-powered supply chain planning software, which is crucial for optimising inventory, accurately forecasting demand, and enhancing overall supply chain efficiency. The broadening reach of e-commerce further necessitates the adoption of artificial intelligence (AI)-powered supply chain planning software to address the escalating need for precise demand forecasting, real-time inventory optimisation, and streamlined order fulfillment across intricate and fast-changing supply networks. For example, the Census Bureau reported in February 2025 that US retail e-commerce sales reached $308.9 billion in the fourth quarter of 2024, marking a 9.4% increase from the fourth quarter of 2023. Consequently, the expansion of e-commerce is a primary impetus for the growth of the artificial intelligence (AI) powered supply chain planning software market.
Artificial Intelligence (AI) Powered Supply Chain Planning Software Market Segmentation And Category Overview
The artificial intelligence (AI) powered supply chain planning software market covered in this report is segmented –
1) By Component: Software, Services
2) By Technology: Machine Learning, Predictive Analytics, Natural Language Processing, Generative Artificial Intelligence, Deep Learning
3) By Deployment Mode: Cloud-Based, On-Premises, Hybrid
4) By Application: Demand Forecasting, Inventory Optimization, Capacity Planning, Risk Management, Network Planning, Replenishment Planning
5) By Industry Vertical: Manufacturing, Retail And E Commerce, Healthcare, Automotive, Consumer Goods, Food And Beverage, Other Industry Verticals
Subsegments:
1) By Software: Transportation Planning Software, Sales And Operations Planning Software, Advanced Analytics Software, Risk Management Software
2) By Services: Consulting Services, Implementation Services, Integration Services, Managed Services
Artificial Intelligence (AI) Powered Supply Chain Planning Software Market Growth Trends Reshaping The Competitive Landscape
Leading companies within the artificial intelligence (AI) powered supply chain planning software market are concentrating on developing advanced solutions, such as agentic AI applications, to enhance autonomous decision-making, strengthen supply chain resilience, optimize inventory management, and accelerate overall operational execution. Agentic AI applications represent sophisticated enterprise software solutions, powered by coordinated AI agents that possess the ability to reason, plan, and execute business processes independently. These applications move 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, introduced Oracle Fusion Agentic Applications for Finance and Supply Chain, an innovative suite of AI-driven enterprise applications designed to transform finance and supply chain operations. This solution incorporates specialized AI agents that proactively manage workflows across supply chain planning, inventory optimization, procurement, manufacturing, and logistics, all while operating within Oracle Fusion Cloud applications. Unlike conventional planning software, which primarily offers recommendations requiring manual intervention, this platform independently executes routine tasks, identifies exceptions, and suggests corrective actions by utilizing enterprise-wide contextual data. It also integrates with Oracle AI Agent Studio, allowing organizations to create and customize AI agents with governance, security, and approval controls suitable for enterprise-scale deployment. The platform assists organizations in reducing operational delays, improving working capital, enhancing supply chain responsiveness, and increasing planning accuracy through outcome-driven AI automation.
Artificial Intelligence (AI) Powered Supply Chain Planning Software Market Key Players Shaping Industry Direction
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
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Artificial Intelligence (AI) Powered Supply Chain Planning Software Market Regional Analysis: Which Region Leads By Revenue?
North America was the largest region in the artificial intelligence (AI) powered supply chain planning software market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence (AI) powered supply chain planning software market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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Wasay has over a decade of experience in market research, data modelling, and analytics, with prior experience at GlobalData and Decision Tree Consulting Services. At The Business Research Company , he leads research operations across syndicated studies, customized consulting engagements, and the Global Market Model platform. His professional experience includes supporting organizations such as Boston Consulting Group, KPMG, and Ernst & Young. Wasay holds a degree in Electronics and Communications Engineering, postgraduate management qualifications from International Management Institute Belgium and Indian School of Business and Entrepreneurship, and completed the Integrated Program in Business Analytics from Indian Institute of Management Indore.