Industrial companies have invested an estimated $34 billion in AI initiatives since 2020, yet many struggle to quantify the return on these investments or to scale successful pilots into enterprise-wide deployments. This 32-page report, produced in partnership with IndustriAI, addresses this gap by analyzing the financial outcomes of 150 verified AI deployments across four application categories: predictive maintenance (42 deployments), quality inspection (38), demand forecasting (35), and process optimization (35). The analysis covers companies ranging from $50 million to $80 billion in revenue across discrete manufacturing, process manufacturing, and industrial services, providing the most comprehensive empirical assessment of industrial AI ROI published to date.