Demand planning software market seen topping $9B by 2030

The demand planning solutions market is projected to cross $9 billion by 2030 as companies push harder on AI, machine learning and cloud-based forecasting. IBM leads a moderately fragmented field where the top 10 vendors held just 22% of revenue in 2025.

Why it matters: - Demand planning software is becoming a core tool for companies trying to cut inventory costs, improve forecast accuracy and make supply chains more resilient. - The market’s growth reflects broader adoption of AI, cloud computing and data-driven planning across enterprise software. - The segment is still relatively small compared with the wider business analytics and IT markets, but it is growing fast.

What happened: - The Business Research Company projected the global demand planning solutions market will surpass $9 billion by 2030. - The market is forecast to grow at a 12% compound annual growth rate through 2030. - North America is expected to remain the largest regional market, reaching $3.3 billion by 2030 from $1.9 billion in 2025. - The U.S. is projected to reach $2.9 billion by 2030 from $1.7 billion in 2025. - IBM emerged as the top global seller in 2025 with a 4% market share.

The details: - Solutions are expected to account for 64% of the market by 2030, or about $6 billion. - Services, cloud-based deployment and on-premise deployment remain key parts of the market structure. - Major end-user industries include automotive, healthcare, IT and telecom, BFSI, manufacturing, and food and beverages. - The report says the market is powered by demand for more precise forecasting, data-driven planning and AI-enabled automation. - Advanced platforms use historical sales, market analysis and predictive analytics to improve production planning, reduce waste and raise inventory turnover. - Demand planning systems increasingly combine sales, marketing, finance and supply chain data to improve planning decisions. - AI and machine learning are being used to detect patterns in structured and unstructured data, improve forecasts over time and automate planning workflows. - The top 10 companies held 22% of total revenue in 2025, underscoring a moderately fragmented market. - The named top 2025 sellers were IBM, Oracle, SAP, Blue Yonder, Kinaxis, Manhattan Associates, OM Partners, e2open, RELEX Solutions and Anaplan. - The report highlights agentic AI as a newer shift in the category. - In March 2026, o9 Solutions introduced APEX, an AI-powered planning feature inside its Digital Brain platform. - The feature uses neuro-symbolic AI, enterprise knowledge graphs and continuous planning to improve agility and synchronize demand and supply planning. - The report lists additional active companies including ToolsGroup, Logiwa, FuturMaster, Blue Ridge Solutions, Infor, Gain Systems, John Galt Solutions, Arkieva, Solvoyo, Alloy Technologies and GMDH.

Between the lines: - The market is expanding because forecasting is moving from a planning support function to a frontline operational capability. - Large vendors appear to have an edge because the category requires deep AI capability, ERP integration, scalable cloud infrastructure and real-time forecasting performance. - IBM’s lead is modest, which suggests no single vendor dominates a market still shaped by specialist players and enterprise software giants. - The focus on predictive analytics and integrated planning points to pressure from volatile demand, tighter margins and more complex supply chains.

What's next: - The report expects continued growth in both solutions and services, with combined value rising by more than $3 billion between 2025 and 2030. - Solutions are forecast to add about $2 billion, while services add about $1 billion over that period. - Vendors are likely to keep investing in AI-powered forecasting, cloud platforms and tighter links between demand planning and supply planning. - The next phase of competition will likely center on better automation, faster scenario planning and stronger enterprise integrations.

The bottom line: - Demand planning software is moving deeper into the enterprise stack as AI and cloud tools make forecasting faster, more accurate and more actionable.