This study presents an innovative data-driven approach to CMF (Color, Material, Finishing) design for age-friendly furniture. By integrating K-means clustering, decision tree model, and AHP-SD evaluation method, with age-friendly consideration from data source, professional evaluation and user selection, this study aimed to identify optimal CMF schemes tailored to the preferences and needs of older adults. The result reveals that orange Hue, D5(mid Saturation and mid Value) colors are predominantly preferred, and M3F5 (linen) emerged as the top choice. The data-driven method demonstrates high efficiency and scientific objectivity in providing design recommendations compared to traditional methods. These findings underscore the potential of data-driven CMF design to create aesthetically pleasing, and age-friendly furniture, ultimately improving the quality of life for older adults and offering valuable insights for designers and manufacturers in the furniture industry.