家具市场前瞻与技术优势决策模型数据集

在该数据集中，客户需求到价格中位数等内容通过淘宝等电商平台获取；风格编码、性能编码根据市场上家具产品的风格和性能进行系统性的分类和编码；通过映射函数将价格中位数、风格、性能等内容映射得出客户群体系数；专利企业数量、相关专利数量从专利检索网站上公开获取，预测市场规模通过融合价格中位数、风格编码、相关专利数量等内容的数据分析模型获取。In this dataset, content such as customer demands and median price are collected from e-commerce platforms including Taobao. Style encoding and performance encoding are systematically classified and encoded based on the styles and performance of furniture products on the market. A customer group coefficient is derived by mapping content such as median price, style and performance via a mapping function. The number of patent-holding enterprises and the number of relevant patents are publicly obtained from patent retrieval websites. The predicted market size is obtained through a data analysis model that integrates content such as median price, style encoding and the number of relevant patents.

搜集汇总

数据集介绍

特点

该数据集包含5462条家具制造业的公开采集数据，每月更新，涵盖产品类型、材质、价格、客户需求、专利信息等多维数据。主要用于预测市场规模、分析技术壁垒和创新趋势，为企业提供技术布局决策依据。