Trend Prediction and CAD Application of Interior Design Style Using Big Data

Abstract

CAD technology can not only improve design efficiency but also make design solutions more intuitive and realistic through technologies such as 3D modelling and virtual reality, making it easier for users to understand and choose. This article proposes a design strategy that combines big data analysis with predicting interior design style trends. Through in-depth mining of massive data, it is possible to reveal the true preferences of users, the evolution patterns of design styles, and potential market demands. Through the application of CAD technology, designers can complete design proposals more quickly and efficiently, reducing design costs and risks. By assigning computing tasks to multiple processing units for simultaneous execution or utilizing specific hardware features for acceleration, this method can complete calculations in a shorter time and further improve response speed. This interior design scheme has achieved significant success in three key areas: functionality, aesthetics, and comfort. This not only reflects the professional competence and design ability of designers but also reflects good communication and cooperation between designers and users.