Artificial Intelligence-Powered Demand Forecasting Market Report 2026

Artificial Intelligence-Powered Demand Forecasting Market Overview

• Artificial Intelligence-Powered Demand Forecasting market size has reached to $5.64 billion in 2025 • Expected to grow to $15.89 billion in 2030 at a compound annual growth rate (CAGR) of 22.9% • Growth Driver: The Rising E-Commerce Penetration Driving The Growth Of The Market Due To Increasing Internet Penetration • Market Trend: Data-Driven Revenue Optimization Platform Enhances Forecasting, Pricing, And Promotional Efficiency • North America was the largest region in 2025 and Asia-Pacific is the fastest growing region.

What Is Covered Under Artificial Intelligence-Powered Demand Forecasting Market?

Artificial intelligence-powered demand forecasting refers to the use of machine learning algorithms and advanced analytics to predict future customer demand for products or services. It analyzes large and diverse datasets such as historical sales, market trends, and external factors to generate more accurate and dynamic forecasts compared to traditional methods. The main components of artificial intelligence-powered demand forecasting include software and services. Software refers to AI-based forecasting platforms that analyze historical sales, market trends, and external data to predict future demand patterns. These solutions are built using technologies such as machine learning, natural language processing, predictive analytics, and reinforcement learning. They are deployed through cloud, on premises, and hybrid models and are used by end users including retailers, manufacturers, distributors, logistics providers, and others.

What Is The Artificial Intelligence-Powered Demand Forecasting Market Growth Forecast?

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.

Global Artificial Intelligence-Powered Demand Forecasting Market Segmentation

1) By Component Type: Software; Services 2) By Technology: Machine Learning; Natural Language Processing; Predictive Analytics; Reinforcement Learning 3) By Deployment Mode: Cloud; On Premises; Hybrid 4) By End User: Retailers; Manufacturers; Distributors; Logistics Providers; Other End Users Subsegments: 1) By Software: Demand Planning Software; Predictive Analytics Software; Inventory Optimization Software; Sales Forecasting Software; Supply Chain Planning Software; Machine Learning Model Development Software 2) By Services: Consulting Services; Implementation And Deployment Services; Integration Services; Managed Services; Support And Maintenance Services; Training And Advisory Services

What Is The Driver Of The Artificial Intelligence-Powered Demand Forecasting Market?

The rising 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 used by consumers and businesses within a specific market or population compared to total retail activity. Rising e-commerce penetration is due to increasing internet and smartphone usage, which enables more consumers to access online shopping platforms conveniently and frequently. AI-powered demand forecasting helps 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 were $1,192.6 billion, reflecting an 8.1% increase (±1.1) from 2023, while the share of e-commerce in total retail sales rose from 15.3% in the previous year to 16.1% in 2024. Therefore, the rising e-commerce penetration is driving the growth of the artificial intelligence-powered demand forecasting industry.

Key Players In The Global Artificial Intelligence-Powered Demand Forecasting Market

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

Global Artificial Intelligence-Powered Demand Forecasting Market Trends and Insights

Major 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 instance, 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.

What Are Latest Mergers And Acquisitions In The Artificial Intelligence-Powered Demand Forecasting Market?

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. With 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.

Regional Outlook

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 this market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in this market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

What Defines the Artificial Intelligence-Powered Demand Forecasting Market?

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.

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-Powered Demand Forecasting Market Report 2026?

The artificial intelligence-powered demand forecasting 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-powered demand forecasting 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.