Artificial Intelligence-Powered Demand Forecasting Market Global Report 2026

The artificial intelligence-powered demand forecasting market size has grown exponentially in recent years. It will grow from $5.64 billion in 2025 to $6.95 billion in 2026 at a compound annual growth rate (CAGR) of 23.4%. The growth in the historic period can be attributed to growth of enterprise data availability from digital channels, increasing adoption of ERP and analytics systems, expansion of e commerce sales volatility, rising use of historical sales data for planning, increasing digitization of retail and manufacturing operations.

The artificial intelligence-powered demand forecasting market size is expected to see exponential growth in the next few years. It will grow to $15.89 billion in 2030 at a compound annual growth rate (CAGR) of 22.9%. The growth in the forecast period can be attributed to expansion of AI powered predictive analytics platforms, rising demand for real time demand sensing capabilities, growth of omnichannel commerce ecosystems, increasing need for supply chain agility and resilience, adoption of machine learning based forecasting automation. Major trends in the forecast period include hyperlocal demand sensing using real time consumption data, omnichannel demand synchronization across retail platforms, event driven demand variability modeling, dynamic pricing elasticity based forecasting systems, collaborative cross enterprise demand planning ecosystems.

The increasing e-commerce penetration is expected to propel the growth of the artificial intelligence-powered demand forecasting market going forward. E-commerce penetration refers to the extent to which online retail channels are adopted and utilized by consumers and businesses within a specific market or population relative to total retail activity. The increasing e-commerce penetration is driven by growing internet and smartphone usage, enabling more consumers to access online shopping platforms conveniently and more frequently. Artificial intelligence-powered demand forecasting supports e-commerce by analyzing large volumes of real-time and historical data to accurately predict customer demand, optimize inventory levels, reduce stockouts and overstocking, and ultimately improve sales efficiency and customer satisfaction. For instance, in February 2025, according to the Census Bureau, a US-based government agency, total e-commerce sales in 2024 reached $1.19 trillion, representing an 8.1% increase (±1.1) compared to 2023, while the share of e-commerce in total retail sales increased from 15.3% in the previous year to 16.1% in 2024. Therefore, the increasing e-commerce penetration is driving the growth of the artificial intelligence-powered demand forecasting market.

Leading companies operating in the artificial intelligence-powered demand forecasting market are focusing on developing innovative solutions, such as revenue growth optimization solutions to enhance forecasting accuracy, optimize pricing and promotions, and improve overall revenue performance through data-driven decision-making. Revenue growth optimization (RGO) solutions are AI-driven platforms that help businesses maximize revenue by analyzing demand, pricing, promotions, and customer behavior to make more profitable commercial decisions. For example, in February 2026, Demand Chain AI Inc., a US-based AI planning and supply chain analytics company, launched Puls8 RGOX, an innovative AI-powered revenue growth optimization solution for consumer goods companies operating in the demand forecasting and trade promotion planning space. The solution replaces manual planning workflows by integrating AI-driven demand forecasting, automated scenario planning, and optimization engines into a unified platform that improves forecast accuracy and commercial decision-making. It features advanced promotional lift prediction models, constraint-aware optimization of trade spend, and seamless integration with ERP and TPM systems to ensure end-to-end execution from planning to activation. Additionally, it enables businesses to simulate multiple demand scenarios in real time, reduce forecast errors caused by disconnected data systems, and enhance return on investment from promotional and demand planning activities.

In August 2024, Blue Yonder Group Inc., a US-based AI-driven, end-to-end supply chain management company, acquired One Network Enterprises for an undisclosed amount. Through this acquisition, Blue Yonder aims to enhance its multi-enterprise supply chain visibility, improve real-time demand forecasting accuracy, and strengthen collaborative AI-driven supply chain orchestration capabilities across global trading networks. One Network Enterprises Inc. is a US-based company that provides artificial intelligence- or machine learning-driven demand forecasting and demand-driven planning solutions through its multi-party digital supply chain network.

Major companies operating in the artificial intelligence-powered demand forecasting market are Microsoft Corporation; International Business Machines Corporation (IBM); Oracle Corporation; SAP SE; SAS Institute Inc.; Blue Yonder Group Inc.; Manhattan Associates Inc.; Kinaxis Inc.; Anaplan Inc.; o9 Solutions Inc.; RELEX Solutions Oy; C3 AI Inc.; Slimstock Holding B.V.; ToolsGroup B.V.; E2open Parent Holdings Inc.; NETSTOCK Operations Limited; GAINSystems LLC; John Galt Solutions Inc.; Aera Technology Inc.; Infor Inc.; Lokad SAS.

North America was the largest region in the artificial intelligence-powered demand forecasting market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence-powered demand forecasting market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the artificial intelligence-powered demand forecasting market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The artificial intelligence-powered demand forecasting market consists of revenues earned by entities by providing services such as predictive analytics, demand planning, inventory optimization, sales forecasting, and supply chain analytics. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence-powered demand forecasting market also includes sales of barcode scanners, smart sensors, environmental monitoring sensors, GPS tracking devices, and telematics devices. Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

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.

The artificial intelligence-powered demand forecasting market research report is one of a series of new reports that provides artificial intelligence-powered demand forecasting market statistics, including artificial intelligence-powered demand forecasting industry global market size, regional shares, competitors with a artificial intelligence-powered demand forecasting market share, detailed artificial intelligence-powered demand forecasting market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence-powered demand forecasting industry. This artificial intelligence-powered demand forecasting market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

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