In this study, we developed an IoT-enhanced fuzzy-creative quadrant evaluation framework that integrates fuzzy theory with the creative quadrant method to systematically assess the cultural and creative attributes of products. The framework was applied to the evaluation of cultural and creative product designs inspired by Shanghai Jinshan farmer paintings. By leveraging IoT technologies, a sensing-enabled data acquisition architecture was established, in which multiple sensors embedded in smart terminals, such as touch interaction sensors, display-based feedback sensors, and usage-behavior sensing modules, were employed to capture users’ real-time interaction responses, preference signals, and contextual usage data. These sensor-generated data streams were aggregated through edge computing devices and analyzed to provide real-time insights into cultural trends and market dynamics. These data were transformed into interpretable market segmentation using fuzzy cultural market quadrant rules, enabling a more precise positioning of products within one of the four strategic quadrants. This data-driven approach assists designers and engineers in identifying product strengths and weaknesses with respect to innovation, aesthetic design, uniqueness, and cultural relevance. Evaluation results indicate that certain design proposals exhibit strong cultural and creative attributes, while others show the need for further enhancement in creativity or more comprehensive improvements across multiple dimensions. By explicitly integrating sensor-based perception, data sensing, and IoT-driven feedback mechanisms into the evaluation process, the proposed IoT-integrated fuzzy-creative quadrant framework offers an effective tool for guiding the development and market alignment of cultural and creative products, ultimately enhancing their commercial viability and competitive advantage from a sensing and smart-system perspective in the era of smart manufacturing and digital consumption.