Supply Chain Analytics Market Size, Share, Growth Analysis, By Component(Software, Demand Analysis and Forecasting, Demand and Supply Planning [S&OP Process Management, Supply Chain Risk Management), By Service(Managed Services, Professional Services [Consulting Services, Support and Maintenance Services, Deployment and Integration Services]), By Deployment Mode(On-premises, Cloud), By Organization Size(Small and Medium-sized Enterprises, Large Enterprises), By Vertical(Retail and Consumer Goods, Automotive, Pharmaceutical, Food & Beverage Manufacturing), By Region - Industry Forecast 2025-2032

Supply Chain Analytics Market size was valued at USD 6.18 Billion in 2023 and is poised to grow from USD 7.48 Billion in 2024 to USD 34.6 Billion by 2032, growing at a CAGR of 21.10% during the forecast period (2025-2032).

Growing use of data-driven decision-making around the world and increasing emphasis on improving supply chain management are projected to drive the demand for supply chain analytics over the coming years. The increasing complexity of global supply chains and the rising incidence of supply chain disruptions due to this complexity are also promoting the use of supply chain analytics around the world. Growing emphasis on improving supply chain operations to reduce costs and maximize profitability is also expected to create new opportunities going forward. Rising demand for sustainability in business operations around the world is also expected to bolster the adoption of novel supply chain analytics across the study period and beyond. Advancements in analytics technologies and growing use of artificial intelligence and other advanced technologies will also promote revenue generation for all supply chain analytics providers in the future. However, dearth of skilled workforce to manage supply chain analytics, high costs of implementation, and resistance to change are slated to impede supply chain analytics market growth potential in the long run. 

US Supply Chain Analytics Market is poised to grow at a sustainable CAGR for the next forecast year.