AI demand forecasting market seen reaching $15.89B by 2030

The Business Research Company says the artificial intelligence-powered demand forecasting market will grow from $5.64 billion in 2025 to $15.89 billion by 2030 as retailers and manufacturers lean harder on machine learning, real-time demand sensing and omnichannel planning. North America led the market in 2025, while Asia-Pacific is projected to grow fastest.

Why it matters: - AI-powered demand forecasting is moving from a niche planning tool to a core supply chain and retail capability as companies look for better inventory control, fewer stockouts and less excess inventory. - The market’s growth reflects broader adoption of digital commerce, analytics and machine learning across retail and manufacturing.

What happened: - The Business Research Company published a 2026 report on the artificial intelligence-powered demand forecasting market on September 5, 2026. - The report pegs the market at $5.64 billion in 2025 and $6.95 billion in 2026. - The market is projected to reach $15.89 billion by 2030. - The report also says the market is expanding at a 23.4% CAGR from 2025 to 2026 and 22.9% CAGR through 2030.

The details: - Artificial intelligence-powered demand forecasting uses machine learning and analytics to predict future demand from historical sales, market trends and external factors. - The report links near-term growth to broader availability of enterprise data, wider use of ERP and analytics tools, more volatile e-commerce sales, greater reliance on historical sales planning and digital transformation in retail and manufacturing. - Longer-term growth is tied to predictive analytics platforms, real-time demand sensing, omnichannel commerce, supply chain resilience and machine learning-based automated forecasting systems. - The report says North America held the largest share of the global market in 2025. - The Asia-Pacific region is expected to grow fastest during the forecast period. - The analysis covers Asia-Pacific, Southeast Asia, Western Europe, Eastern Europe, North America, South America, the Middle East and Africa. - The company also says its 2026 reports include market attractiveness scoring, TAM analysis, company scoring matrix graphics and tables, Excel-based forecasting dashboards, market hotspots infographics, key technologies and future trend analysis, plus updated graphics and tables. - The report offers a free sample and a full version online. More information - The full report is available here.

Between the lines: - E-commerce growth is a major demand driver because online sales create more frequent and more variable buying patterns that are harder to forecast with traditional methods. - US Census Bureau data cited in the report show U.S. e-commerce sales reached $1,192.6 billion in 2024, up 8.1% from 2023. - E-commerce’s share of total U.S. retail sales rose from 15.3% in 2023 to 16.1% in 2024. - That shift suggests more retailers will need automated forecasting tools that can react faster than manual planning processes.

What's next: - The market’s next phase will likely center on faster demand sensing, broader automation and tighter links between forecasting, inventory and omnichannel execution. - The report expects continued momentum in regions with fast-growing digital commerce, especially Asia-Pacific. - Businesses that depend on inventory planning may keep increasing investment in AI forecasting tools as supply chains prioritize agility and resilience.

The bottom line: - AI-powered demand forecasting is gaining traction because businesses need more accurate, real-time planning tools as commerce becomes more digital and less predictable.