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关于“刷脸支付”的报告

本报告研究涉及企业/品牌/案例:支付宝,微信支付,苏宁支付;其他提及企业/品牌:拉卡拉,中国银行,工商银行,中国农行,中国建行,招商银行,交通银行,中国邮政储蓄银行,平安银行,刷脸支付

iiMedia Research(艾媒咨询)数据显示,中国移动支付交易规模在2019年第三季度已经达到252.2万亿元,用户规模在年底预计超过7.3亿人,覆盖更多层级的用户,全国普及程度持续提高。中国移动支付行业正在往标准化和规范化发展,市场竞争加剧。随着人脸技术的成熟,刷脸支付加快普及,iiMedia Research(艾媒咨询)数据显示,预计到2019年刷脸支付用户规模将会达到1.18亿人。未来移动支付行业会更加规范化,市场逐渐下沉,细分化的支付场景和多元盈利模式将会成为移动支付行业新的发展入口。

As the data of iiMedia Research showed, the scale of China's mobile payment transactions has reached 252.2 trillion yuan in the third quarter of 2019, and the number of users is expected to exceed 730 million by the end of the year. The popularity of mobile payment in China is increasing and covering more levels of users. China's mobile payment industry is becoming more standardized, and market competition is intensifying. With the development of face perception technology, the popularity of face payment has increased, according to iiMedia Research by 2019, the number of face brush payment users will reach 118 million. In the future, the mobile payment industry will become more standardized and go towards to the market sinking. Segmented payment scenarios and diversified profit models will become the new development opporunity of the mobile payment industry.

本报告研究涉及企业/品牌/案例:宝贝格子,盒马鲜生,瑞幸咖啡;其他提及企业/品牌:永辉超市,苏宁易购,华润万家,沃尔玛,每日优鲜,天虹,居然之家,支付宝,京东支付,京东物流,日日顺,顺丰速运,圆通速递,拼多多,云集,贝店,活动行,恰克,淘宝直播,启博软件,京喜,阿里巴巴,聚划算,小红书,洋码头,什么值得买,花生日记,淘集集,万色城,微信,抖音,快手,天猫,云闪付

数据显示,中国社会消费品零售规模稳步增长,2019年达到41.2万亿元。网络零售额占比也不断上升,2019年网络零售额达到10.6万亿元,占社会消费品零售总额25.7%。在消费升级和新兴技术推动下,新零售产业蓬勃发展,万亿市场规模加速形成。当前,新零售产业线上线下加速融合,新式营销层出不穷,整体呈现全渠道、数字化、社群化等特点。由数据、供应链、物流、支付、金融组成的新零售生态系统不断完善,促使面向细分人群、细分品类、细分市场的多种新零售业态快速发展,随之涌现出一批较具发展潜力的新零售标杆企业。艾媒咨询分析师认为,新零售挑战与机遇并存。短期,互联网人口增长红利趋尽,行业竞争日趋激烈,对新零售产业链上下游玩家提出更高要求,考验营销能力、精细化运营能力;长期,借助5G、大数据、人工智能等新兴信息技术手段,新老零售企业将被赋予更多能力,产业整体效率有望大幅提升,市场规模也将加速扩大。

Data show that the retail scale of China's social consumer goods has steadily increased, reaching 41.2 trillion yuan in 2019. The proportion of online retail sales has also continued to rise. In 2019, online retail sales reached 10.6 trillion yuan, accounting for 25.7% of total retail sales of consumer goods. Driven by consumption upgrades and emerging technologies, the new retail industry is booming, and the trillion-dollar market is accelerating. At present, the new retail industry is accelerating the integration of online and offline, new marketing is emerging endlessly, and the overall characteristics of omnichannel, digitalization, and community are presented. The new retail ecosystem consisting of data, supply chain, logistics, payment, and finance has been continuously improved, prompting the rapid development of a variety of new retail formats for segments, categories, and markets, and a number of more new retail benchmarking company with development potential. iiMedia Consulting analysts believe that new retail challenges and opportunities coexist. In the short term, the dividends of the growth of the Internet population are exhausting, and competition in the industry is becoming increasingly fierce. It places higher requirements on upstream and downstream players in the new retail industry chain to test marketing capabilities and refined operation capabilities. In the long term, it will use emerging information technologies such as 5G, big data, and artificial intelligence Means, new and old retail companies will be given more capabilities, the overall efficiency of the industry is expected to increase significantly, and the market size will also accelerate.

本报告研究设计企业/品牌/案例:支付宝

2019年上半年移动支付交易规模达166.1万亿,在移动支付市场规模逐渐扩大以及人脸识别技术发展渐趋成熟的背景下,刷脸支付开始崭露头角。iiMedia Research(艾媒咨询)数据显示,预计2022年中国刷脸支付用户规模将超7.6亿人。刷脸支付的发展以及普及,对于用户、商家以及社会有着重要价值。对于用户而言,刷脸支付省时、便捷、体验好和能实现信息与交易安全保障。iiMedia Research(艾媒咨询)数据显示,受访用户对在流程耗时、便利程度、支付体验、交易安全和信息安全五个方面对刷脸支付的满意度分别为8.1、7.3、7.3、7.1和7.0,高于其他非现金支付方式的满意度。对于商家来说,刷脸支付赋能商家的经营发展,帮助他们改善排队效率、提高顾客好评率、提高竞争力和增加客流。九成的受访商家认可接入刷脸支付后,顾客排队效率和顾客好评的提升。刷脸支付的发展同时也带动着上下游产业的发展,促进硬件制造商、传感器制造商等新产业新职业就业的发展,为社会带来巨大价值。

In the first half of 2019, the transaction scale of mobile payment reached 166.1 trillion yuan. In the context of the gradual expansion of the mobile payment market and the gradual maturity of face recognition technology, the face-scanning payment has begun to emerge. As the data of iiMedia Research showed, it is estimated that the scale of users of face-scanning payment in China will exceed 760 million in 2022. The development and popularity of face-scanning payment is of great value to users, corporate and society. For the user, the face-scanning payment saves time, is convenient, and ensures information and transaction security. As the data of iiMedia Research showed, the respondents' satisfaction with the face-scanning payment in terms of spending time, convenience, payment experience, transaction security and information security are 8.1, 7.3, 7.3, 7.1 and 7.0, higher than other non-cash payment methods. For merchants, the face-scanning payment empowers their management, helping them improve queue efficiency, improve customer feedback, improve competitiveness and increase customer flow. Ninety percent of the surveyed merchants recognized the increase in customer queuing efficiency and customer praise after accessing the face-scanning payment. The development of the face-scanning payment also drives the development of upstream and downstream industries, and promotes the development of new occupations and employment in new industries such as hardware manufacturers and sensor manufacturers, bringing great value to the society.

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.

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