Data collection is a necessary technology in the domain of cyber-physical systems (CPS). The selection of appropriate sensors and devices hinges upon a multitude of factors encompassing resolution, accuracy, power efficiency, compatibility, as well as cost considerations. These factors must be understood to create robust CPS that meet specific requirements. CPS generate large volumes of data, characterized by volume, velocity, and variety. Processing and analyzing this data can be challenging but offer significant benefits. Achieving real-time responsiveness and minimizing latency in CPS requires considering factors such as edge computing, predictive analytics, data compression, prioritized communication, and energy-efficient designs. Evaluating CPS performance involves factors like response time, predictability, meeting deadlines, system dynamics, network communication impact, safety requirements, and fault tolerance. Addressing data quality and reliability challenges is important for accurate and consistent data collection in CPS. Ongoing advancements in data collection techniques continue to improve the accuracy and dependability of CPS in various applications.