全球领先的新经济产业第三方数据挖掘与分析机构
关于“用户评价”的报告
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艾媒咨询 | 2025年中国二手车行业市场消费行为调查数据
随着二手车产业数字化进程的持续升级，其价值链条不断延伸重构，立体化的发展格局正推动行业从传统价差模式向全周期汽车资产管理平台转型。根据全球新经济产业第三方数据挖掘和分析机构iiMedia Research（艾媒咨询）最新发布的《2025年中国二手车行业市场消费行为调查数据》数据显示，49.08%的消费者选择购买二手车的主要原因是“价格较便宜”，反映出高性价比仍是驱动市场增长的核心要素。在消费偏好方面，消费者更倾向选择一年以内车龄的二手车，该区间占比达59.88%，其较新的技术配置与合理折旧率形成显著吸引力。消费者决策时最关注养护成本（44.40%），但在交易过程中普遍担忧“信息真实性”（39.31%）与“定价合理性”（47.95%）问题。当前二手车市场仍面临车况信息透明度不足、定价机制缺乏标准、售后服务保障体系薄弱等发展瓶颈。艾媒咨询分析师建议，行业需构建区块链车况溯源系统强化信任基础，建立AI估值模型提升定价科学性，并通过线上线下融合服务网络完善售后保障体系，同时针对新能源二手车特性开发定制化检测标准，以技术赋能推动行业规范化发展。
With the continuous upgrading of the digitalization process of the used car industry, its value chain continues to extend and restructure, and the three-dimensional development pattern is promoting the transformation of the industry from the traditional price spread model to the full-cycle automotive asset management platform. According to the latest "Market consumption behavior survey data of China's second-hand car industry in 2025" released by iiMedia Research, a third-party data mining and analysis institution in the global new economy industry, 49.08% of consumers choose to buy used cars mainly because of "cheaper prices". Reflecting that high cost performance is still the core factor driving market growth. In terms of consumption preference, consumers are more inclined to choose used cars less than one year old, which accounts for 59.88%, and its newer technical configuration and reasonable depreciation rate form a significant attraction. Consumers are most concerned about maintenance cost (44.40%), but they are generally concerned about "information authenticity" (39.31%) and "pricing rationality" (47.95%) during the transaction process. At present, the second-hand car market is still facing bottlenecks such as insufficient transparency of vehicle information, lack of standard pricing mechanism, and weak after-sales service guarantee system. iiMedia Research suggest that the industry needs to build a blockchain vehicle traceability system to strengthen the foundation of trust, establish an AI valuation model to enhance the scientific pricing, and improve the after-sales support system through the online and offline integration service network, while developing customized testing standards for the characteristics of new energy used cars, and promote the standardized development of the industry with technology enabling. -
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艾媒咨询 | 2025年中国零售行业市场消费行为调查数据
随着数字零售技术的深度融合创新，消费模式呈现多元化发展态势，主要应用于以直播购物、社交电商为例的流量重构领域，以会员体系运营、精准推荐算法为例的用户运营领域，以及即时零售、虚拟试穿技术等场景体验领域。这种技术演进推动形成了覆盖智能货架管理、跨境商品直购的新型消费生态，同时催生出结合AR导航、无人配送的智慧零售解决方案，为消费者构建起全时段、全场景的购物体验闭环。根据全球新经济产业第三方数据挖掘和分析机构iiMedia Research（艾媒咨询）最新发布的《2025年中国零售行业市场消费行为调查数据》数据显示，2025年中国消费者选择线上购物的核心动因中，“商品选择丰富性”以39.14%的占比居于首位，反映出消费者对多元化需求的重视。线上购物频率呈现集中化特征，“每月2-3次”成为主流选择，占比达35.45%，而每周线上购物时间分配中，“1-3小时”以55.74%的绝对优势成为多数消费者的常态选择。在消费类目偏好方面，食品类商品以36.68%的消费占比领跑线上购物清单，印证了生鲜电商和即时零售场景的深度渗透。艾媒咨询分析师认为，零售企业需系统性优化线上线下一体化运营能力：在线上渠道应强化动态定价算法与供应链弹性，通过C2M模式降低溢价空间；线下场景需加速AR虚拟试穿、智能导购机器人等体验型技术部署，同时构建会员积分跨场景通兑体系以提升用户忠诚度。对于消费者普遍反映的“价格敏感度攀升”现象，建议通过大数据驱动的精准促销策略与付费会员专属权益体系实现差异化价值供给。
With the deep integration and innovation of digital retail technology, the consumption model shows a diversified development trend, which is mainly applied to the field of traffic reconstruction such as live shopping and social e-commerce, the field of user operation such as membership system operation and accurate recommendation algorithm, and the field of scene experience such as instant retail and virtual fitting technology. This technological evolution has promoted the formation of a new consumption ecology covering intelligent shelf management and cross-border direct purchase of goods, and has spawned a smart retail solution combining AR navigation and unmanned distribution, building a full-time and full-scene shopping experience closed-loop for consumers. According to Consumer behavior survey data of China's retail industry in 2025 released by iiMedia Research, a third-party data mining and analysis institution in the global new economy industry, among the core motivations for Chinese consumers to choose online shopping in 2025, "Product selection richness" ranked first with 39.14%, reflecting consumers' emphasis on diversified needs. Online shopping frequency presents a centralized feature, "2-3 times a month" has become the mainstream choice, accounting for 35.45%, and in the weekly online shopping time allocation, "1-3 hours" has become the normal choice of most consumers with an absolute advantage of 55.74%. In terms of consumer preference, food products led the online shopping list with 36.68% of consumption, confirming the deep penetration of fresh e-commerce and instant retail scenes. Analysts of IIMedia Consulting believe that retail enterprises need to systematically optimize online and offline integrated operation capabilities: online channels should strengthen dynamic pricing algorithms and supply chain elasticity, and reduce premium space through C2M mode; In offline scenes, it is necessary to accelerate the deployment of experiential technologies such as AR virtual fitting and intelligent shopping guide robots, and build a cross-scene redemption system for member points to enhance user loyalty. For the phenomenon of "rising price sensitivity" generally reflected by consumers, it is suggested to realize differentiated value supply through big data-driven precision promotion strategy and the exclusive rights and interests system of paying members. -
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