In this thesis we focus on Semantic Web systems, their expressiveness and scalability. We go through technologies and standards of Semantic Web and compare their expressiveness. Our goal is to research and compare Semantic Web systems and define which are suitable for solving real industry problems. After defining several industry related use cases, we perform a comprehensive analysis and evaluation of selected systems on given problems. Results show that Semantic Web systems are a good option for complicated problems needing high expressiveness. Scaling shows to be a problem, so we propose hybrid solutions as the best choice for industry problems.