Supply chain visibility AI market seen reaching $16.4 billion by 2030

The Business Research Company says the global supply chain visibility artificial intelligence market is projected to grow from $8.36 billion in 2026 to $16.4 billion by 2030. Cloud-based platforms, real-time tracking, and AI-powered predictive tools are expected to drive demand as companies push for better transparency and resilience.

Why it matters: - Supply chain visibility AI is moving from a niche tool to a core operations layer as companies try to track goods, data and risk across increasingly complex supply networks. - The market forecast points to sustained spending on software that can improve transparency, reduce disruption and support faster decision-making. - The shift matters across industries because supply chain delays, inventory errors and weak visibility can raise costs and hurt service levels.

What happened: - The Business Research Company published its Supply Chain Visibility Artificial Intelligence Global Market Report 2026, covering market size, trends and forecasts for 2026-2035. - The report says the market will rise from $7.08 billion in 2025 to $8.36 billion in 2026, a CAGR of 18.1%. - The market is projected to reach $16.4 billion by 2030, with an expected CAGR of 18.4%. - North America held the largest market share in 2025. - Asia-Pacific is expected to be the fastest-growing region over the forecast period.

The details: - Supply chain visibility AI uses machine learning, predictive analytics and real-time data processing to monitor the flow of goods, information and resources across the supply chain. - The technology is designed to give organizations better transparency, earlier disruption detection and more informed decisions. - The report cites enterprise resource planning adoption, globalized supply chains, inventory optimization needs, e-commerce logistics growth and limited real-time supplier visibility as key drivers of the earlier growth phase. - Looking ahead, the report points to rising demand for real-time end-to-end transparency, broader use of AI-powered predictive analytics, more IoT-enabled tracking devices, growth in cloud-based supply chain platforms, and greater emphasis on resilience and risk management. - The report highlights predictive disruption detection, real-time shipment tracking dashboards, AI-driven demand sensing, digital twin simulations and automated exception management as emerging trends. - Cloud-based supply chain platforms let businesses monitor procurement, storage, shipping and distribution using real-time data. - These platforms support real-time data sharing, centralized monitoring and AI analytics across complex supply networks. - In September 2023, Global Healthcare Exchange LLC said nearly 70% of hospitals and health systems are projected to adopt cloud-based supply chain management solutions by 2026. - The report also includes South East Asia, Western Europe, Eastern Europe, South America, and the Middle East and Africa in its geographic coverage. - The report says its 2026 edition adds market attractiveness scoring, TAM analysis, company scoring matrix graphics and tables, Excel-based forecasting dashboards, market hotspots infographics, key technology analysis and updated graphics and tables. - The report offers a free sample and full report through inline links: Download a free sample and View the full report.

Between the lines: - The forecast suggests buyers are prioritizing visibility tools that can combine analytics, tracking and automation rather than standalone monitoring software. - Cloud adoption appears to be a major unlock because it makes shared data and centralized oversight easier across fragmented supply chains. - The strongest growth areas are likely to be the regions and industries facing the most pressure from volatility, logistics complexity and compliance demands.

What's next: - The market is expected to keep expanding through 2030 as companies invest in resilience, predictive analytics and real-time tracking. - Adoption of digital twins, demand sensing and automated disruption response tools should deepen as supply chain teams look for faster reactions to shocks. - Regional growth in Asia-Pacific may narrow the gap with North America if current adoption trends continue.

The bottom line: - Supply chain visibility AI is set for rapid expansion because companies want better control, faster response times and fewer surprises across global supply chains.