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关于“新零售”的报告

本报告研究涉及企业/品牌/案例:辛选、谦寻文化、美ONE。

直播电商由于带给人们一种专业导购式体验、节约了用户购物成本、顺应了消费下沉趋势和节约了部分商家的获客成本而提供了独特价值,具有内生增长能力。中国的直播电商行业起步于2016年电商平台对新业务模式的探索,2019年开始,市场增长迅速。iiMedia Research(艾媒咨询)数据显示,2019年,中国直播电商市场规模达到4338亿元,相比于2018年增长了226.2%,预计到2021年,市场规模可以达到12012亿元。直播电商用户整体上是理性的,用户选择同直播电商购物的最主要原因是优惠限时限量(占50.8%)、商品性价比高(占48.3%)、商品是我需要的(占46.7%)。消费者最主要的退货原因是商品质量有问题,占43.3%,而发货不及时和售后服务不好也是导致退货的重要原因,分别占22.5%和18.3%。因此,供应链管理能力和团队运营能力构成了直播电商平台的核心竞争力。此外,随着直播电商的发展,C2M模式将会使拥有供应链的头部企业受益,直播电商将会带动高性价比白牌商品市场增长,从而为实体经济赋能。

Live e-commerce provides unique value and has endogenous growth ability because it brings people a kind of professional shopping guide experience, saves the shopping cost of users, conforms to the downward trend of consumption and saves the customer acquisition cost of some businesses. China's live e-commerce industry started in 2016 when e-commerce platforms explored new business models. From 2019, the market grew rapidly. As the data of iiMedia Research showed,the market scale of China's live e-commerce reached 433.8 billion yuan in 2019, an increase of 226.2% compared with that in 2018. It is estimated that the market size will reach 1201.2 billion yuan by 2021. On the whole, the users of live e-commerce are rational. The main reasons why users choose to shop with live e-commerce are the time and amount limit(50.8%), the high cost performance ratio (48.3%) and the products I need (46.7%). The most important reason for consumers to return goods is the bad quality of goods, accounting for 43.3%. The delayed delivery and poor after-sales service are also important reasons for the return of goods, accounting for 22.5% and 18.3% respectively. Therefore, supply chain management ability and team operation ability constitute the core competitiveness of live e-commerce platform. In addition, with the development of live e-commerce, C2M mode will benefit the head enterprises with supply chain, and the live e-commerce will drive the growth of white brand commodity market with high cost performance, thus enabling the real economy.

本报告研究涉及企业/品牌/案例:美团优选、十荟团、兴盛优选。

随着物流体系的成熟发展,在后疫情时代中国社区团购市场进入爆发式增长阶段,在2020年社区团购市场发展增长率超过百分之百,市场规模达到650亿。随着社区团购的不断成熟发展,诸多企业、资本都在积极开拓市场、深化布局,中国社区团购市场规模也将保持高增长趋势,预计到2022年中国社区团购市场规模将超过1220亿元,增长率达到28.4%。与传统电商相比,社区团购的运营模式更为轻,借助微信等社交流量入口,具有用户社区化易传播、商家集中化管理以及线上线下相结合的特点。iiMedia Research(艾媒咨询)调研数据显示,将近一半的用户选择社区团购平台的主要因素是商品物美价廉及购买方式便利,方便省时、送货上门也成为社区团购代替线下消费的主要优势。未来,不同品类的商家加入社区团购的行业,社区团购生鲜领域市场潜力大,“团长”运营和服务水平的提高成为社区团购发展的重要因素。

With the mature development of the logistics system, the community group-buying market in China has entered the stage of explosive growth in the post-epidemic era. In 2020, the growth rate of community group-buying market will exceed 100%, and the market size will reach 65 billion yuan. With the continuous mature development of community group-buying, many enterprises and capital are actively exploring the market and deepening the layout, and the scale of community group-buying market in China will also keep a high growth trend. It is estimated that the scale of community group-buying market in China will exceed 122 billion yuan by 2022, with a growth rate of 28.4%. Compared with traditional e-commerce, community group buying has a lighter operation mode. With the help of WeChat and other social traffic portals, it has the characteristics of easy dissemination of user community, centralized management of merchants and combination of online and offline. As the data of iiMedia Research showed, the main factors for nearly half of the users to choose the community group purchase platform are the high quality and low price of commodities and the convenience of purchasing methods. Convenient and time-saving, door-to-door delivery have also become the main advantages of community group purchase instead of offline consumption. In the future, businesses of different categories will join the industry of community group-buying. The fresh products of community group-buying has great market potential, and the improvement of "leader" operation and service level will become an important factor for the development of community group-buying.

本报告研究涉及企业/品牌/案例:55海淘、什么值得买、蘑菇街。

iiMedia Research(艾媒咨询)数据显示,2019年中国导购电商用户规模为3.45亿人,预计2020年将增至3.81亿人,对比移动电商近8亿人的用户规模,导购电商用户渗透率仍有上升空间。伴随着鼓励消费政策的陆续出台、商品种类的迅速更新换代与信息流的爆发性增长,消费者对于导购电商的需求逐渐增加。iiMedia Research(艾媒咨询)数据显示,目前近七成消费者网购时使用导购平台,平台用户对海淘导购等垂直细分平台存在一定需求。艾媒咨询分析师认为,供需双方的变化加速“人货场”重构,随之而来的是流量争夺加剧、消费便利性、品质化需求提升。导购电商平台作为连通商家和消费者的纽带,既能够帮助商家导流获客,还能为消费者提供便利,在电商渠道竞争加剧的情况下,其双向服务价值将进一步提升。

According to data from iiMedia Research, the number of users of guide e-commerce in China was 345 million in 2019, which is expected to increase to 381 million in 2020. Compared with the number of users of nearly 800 million in mobile e-commerce, the penetration rate of guide e-commerce still has room to rise. With the introduction of policies to encourage consumption, the rapid upgrading of commodity types and the explosive growth of information flow, consumers' demand for e-commerce shopping guides is increasing gradually. As the data of iiMedia Research showed, nearly 70% of consumers currently use the shopping guide platform for online shopping. Platform users have a certain demand for overseas online shopping guide and other vertical subdivided platforms. iiMedia consulting analysts believe that changes in the supply and demand sides accelerate the restructuring of "people's freight yard", followed by intensified traffic competition, consumption convenience, quality demand. E-commerce shopping guide platform, as a link connecting merchants and consumers, can not only help merchants to attract customers, but also provide convenience for consumers. In the case of intensified competition of e-commerce channels, its two-way service value will be further enhanced.

本报告研究涉及企业/品牌/案例:行云全球汇、奥买家。

2020年上半年,受疫情影响,整体跨境电商交易在商品端、物流端等方面都收到较大影响,但是欧美等主要市场的消费格局转变以及一系列利于跨境电商发展的政策落地也推动了中国跨境电商进出口的发展,2020上半年中国通过海关跨境电商管理平台进出口增长26.2%,预计2020年底中国跨境电商交易规模将达到10.3万亿元。当前,年轻的消费群体日渐崛起,其消费潜力不断被挖掘和释放。iiMedia Research(艾媒咨询)数据显示,对于受访的跨境消费年轻人群来说,热衷新潮流、尝试新的消费体验成为其进行跨境消费的主要原因,近六成用户最看重的因素是商品质量。未来,更加符合年轻用户消费需求、文化价值的,集社交互动、内容营销、多端渠道于一体的场景化跨境电商消费将成为新趋势。

In the first half of 2020, affected by the epidemic, overall cross-border e-commerce transactions have been greatly affected in terms of commodities and logistics. However, the changes in consumption patterns in major markets such as Europe and the United States and the implementation of a series of policies conducive to the development of cross-border e-commerce have also promoted the development of China’s cross-border e-commerce import and export. In the first half of 2020, China's imports and exports through the customs cross-border e-commerce management platform increased by 26.2%. It is expected that the scale of China's cross-border e-commerce transactions will reach 10.3 trillion yuan by the end of 2020. At present, young consumer groups’ consumption potential is constantly being tapped and released. As the data of iiMedia Research showed, for the young cross-border consumer groups interviewed, enthusiasm for new trends and trying new consumer experiences has become the main reason for their cross-border consumption. And nearly 60% of them value product quality the most. In the future, scenario-based cross-border e-commerce consumption that integrates social interaction, content marketing, and multiple channels will become a new trend that is more in line with the consumption needs and cultural values of young users.

本报告研究涉及企业/品牌/案例:云测数据,龙猫数据。

在政策利好、场景需求剧增和5G落地等因素的推动下,中国AI行业的市场规模不断扩大,核心产业市场规模2020年将达到1500亿元,发展从规范化阶段向专业化阶段迈进,市场前景广阔。艾媒咨询分析师认为,随着技术的成熟、平台的布局,未来市场发展潜力将不断拓展,AI数据服务将被运用在多种实际场景,如医疗、金融、新零售和安防等。随着AI与传统行业的不断融合以及5G的发展,数据类型将会更加多样化,越来越多的企业将会随着场景定制化升级对精准度提出更高的要求,促使AI数据服务方式由粗放式向着精细化方向过渡。AI数据服务产业链的日趋完善促使竞争日趋激烈,因此数据服务的技术升级将成为竞争的焦点,在很大程度上直接影响数据服务商在市场的竞争地位。

Driven by factors such as favorable policies, a sharp increase in demand, and the launch of 5G, the market size of China's AI industry continues to expand. The core industry market size will reach 150 billion yuan in 2020, and development will move from the standardized stage to the professional stage with broad market prospects.iiMedia Consulting analysts believe that with the maturity of the technology and the layout of the platform, the future market development potential will continue to expand. Besides, AI data services will be used in a variety of practical areas, such as medical, financial, new retail and security.With the continuous integration of AI and traditional industries and the development of 5G, data types will become more diversified. In addition, more and more enterprises will put forward higher requirements for accuracy as scenarios are customized and upgraded, prompting AI data service transfer from extensive methods to refined methods.The increasing improvement of the AI data service industry chain has led to increasingly fierce competition. Therefore, the technological upgrading of data services will become the focus of competition, which to a large extent will directly affect the competitive position of data service providers in the market.

本报告研究涉及企业/品牌/案例:丁香园、叮当快药、字节跳动、小象大鹅、小红书、豌豆公主、阿里云、蜜蜂科技-BEEPLUS、盒马网络、回收宝、商汤科技、珞石科技、猿辅导、编程猫。

在产业数字化及居民消费升级的推动下,新经济产业蓬勃发展,培育出多家独角兽及准独角兽企业。在2020年中国新经济独角兽及准独角兽两百强榜单中,分别有39.5%和42.0%的独角兽及准独角兽企业分布在华东地区,并有71.0%及75.0%的独角兽及准独角兽企业分布在北上广,体现出北上广作为超一线城市在培育独角兽企业上具有明显优势。iiMedia Research(艾媒咨询)数据显示,在两百强名单中,企业服务领域分布了20家独角兽企业及49家准独角兽企业,体现出在新经济发展环境下,各类崭新的商业模式和领域被挖掘,同时也存在更多市场主体对企业服务存在需求,也推动更多企业服务企业跻身独角兽/准独角兽行列。

Driven by the industrial digitalization and increasing consuming power, the new economy industry is growing rapidly, and cultivated lots of unicorn and quasi unicorn enterprises. In the 2020 China New Economy Unicorn and Quasi Unicorn Enterprise Top200 List, 39.5% and 42.0% of the unicorn and quasi unicorn enterprises are located in the eastern China respectively, while 71.0% and 75.0% are located in Beijing, Shanghai and Guangzhou, which showed that as super tier one cities, Beijing, Shanghai and Guangzhou have the clear advantage in terms of cultivating unicorn enterprises. As the data of iiMedia Research showed, within the Top200 list, there are 20 unicorn enterprises and 49 quasi unicorn enterprises in the field of enterprise service, which showed that under the growth of new economy, new types of business models and fields are discovered, and there are more market entities that have demand on enterprise services, which pushed more enterprise service enterprises into the ranks of unicorn/quasi unicorn.

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