The Data Sets Contain SME_Growth_Rate, Real_GDP_Growth,

This study examines the drivers of small and medium-sized enterprise (SME) growth in Saudi Arabia within the context of digital transformation and artificial intelligence (AI) readiness. The research is grounded in the Resource-Based View, Dynamic Capabilities, and Institutional Theory. The study develops a quarterly dataset (2018–2022) that integrates SME growth indicators, macroeconomic variables, and pragmatic proxies for digital ecosystem development, including venture capital flows and digital payment infrastructure. A Random Forest model is employed as an exploratory analytical framework to capture non-linear relationships and lagged dynamics under data constraints, with rank-stability and interpolation sensitivity diagnostics used to enhance robustness in a small-sample setting.