The accelerated digital transformation of European companies reveals a heterogeneous landscape in the adoption of Artificial Intelligence (AI). While many organizations primarily employ AI for analytical purposes such as data mining, forecasting, or customer insights, a growing number of countries are integrating AI not only into analytics but also into decision-making processes. This dual application marks a critical shift, as firms leverage predictive algorithms and real-time systems to support marketing strategies, e-commerce growth, and broader business management. Drawing on Eurostat datasets, this paper maps the adoption of AI across EU member states, distinguishing between analytical and decision-making uses. By combining state-of-the-art literature with a predictive analysis of adoption patterns, we demonstrate how countries that embed AI in decision-making achieve greater alignment between data-driven intelligence and organizational strategy. Our findings highlight emerging leaders in AI-enabled decision processes in Europe and propose a research agenda on how AI can enhance competitiveness, innovation, and value creation in marketing, e-commerce, and business ecosystems.