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关于“蚂蚁金服”的报告

本报告研究涉及企业/品牌/案例:相互宝,蚂蚁金服,水滴互助,腾讯,康爱公社,e互助,众托帮,壁虎互助,夸克联盟,360,滴滴,苏宁易购,美团,京东,百度,支付宝

iiMedia Research(艾媒咨询)数据显示,近八成的网络互助参与者对网络互助计划表示满意,仅有1.7%的参与者表示比较不满意。网络互助的出现,为低收入家庭提供健康保障,缓解因患重病带来的经济压力,另一方面也能一定程度上满足精神需求,互联网巨头纷纷入局网络互助行业,用户规模不断扩大。
目前中国商业保险覆盖率较低,社会医保在赔付金额和覆盖疾病类型上又未能达到商业保险的规模,居民的普惠保障需求旺盛,网络互助产品凭借低门槛和公益性逐渐获得下沉市场的青睐。且随着政府监管的趋严、企业积极创新,网络互助行业迎来新的高速发展期。iiMedia Research(艾媒咨询)数据显示,95.2%的网络互助参与者月均支付金额低于10元,参与者满意程度高。网络互助产品一方面为需求人群提供低成本的医疗保障;另一方面,互助的形式也满足帮助他人的精神追求。网络互助的低门槛、低成本特点,使其能够对下沉城市和更多低收入人群实现覆盖,逐渐成为群众医疗保障重要一环。
At present, the coverage rate of commercial insurance is relatively low in China, and the scale of social medical insurance fails to reach the scale of commercial insurance in terms of compensation amount and types of diseases covered. Residents have a strong demand for mass medical security, and online mutual assistance products gradually win favor in the sinking market due to the low threshold and public welfare. Moreover, with the government's stricter regulation and enterprises' active innovation, the online mutual assistance industry has ushered in a new period of high-speed development. As the data of iiMedia Research showed, 95.2 percent of online mutual assistance participants paid less than 10 yuan per month on average, with high satisfaction. On the one hand, online mutual assistance products can provide low-cost medical security for people in need. On the other hand, the form of mutual assistance also satisfies the spiritual pursuit of helping others. With the characteristics of low threshold and low cost, network mutual assistance can cover sinking cities and more low-income groups, and gradually become an important part of mass medical security.
(以下为节选页,完整版共43页)

本报告研究涉及企业/品牌/案例:华为,大立科技,云测数据,京东众智,百度数据众包,阿里云,百度智能云,深海科技,商汤,云从科技,依图,阅面科技,出门问问,科大讯飞,云知声,普强信息,阿里巴巴,百度,腾讯,京东,松鼠AI,小i机器人,图灵机器人,海康威视,学堂在线,知鸟,蚂蚁金服,第四范式,京东数科,百度医疗大脑,阿里健康,平安智慧城市,一汽,大众,启辰,东风日产

中国人工智能产业增长快速,预计2030年中国人工智能核心产业规模将突破10000亿元。数据的沉积、算法的优化和算力的提升为人工智能技术的商业化应用奠定了坚实基础。越来越多传统行业借助人工智能技术进行转型升级,并受到大众的广泛关注。iiMedia Research(艾媒咨询)数据显示,人工智能与金融、安防、医疗、教育等领域的融合发展成为大众的重点关注领域,37.8%的受访者表示最了解人工智能在金融领域的应用;39.3%的受访者最期待人工智能在医疗领域的应用;66.8%的受访者对人工智能未来发展表示看好。艾媒咨询分析师认为,随着人工智能领域细分化和专业化程度的不断提升,人工智能商业化进程将会提速,但快速发展携带而来的信息安全风险以及道德伦理问题不容忽视。
China's artificial intelligence industry is growing rapidly. It is expected that the scale of China's artificial intelligence core industry will exceed 100 billion yuan in 2030. The deposition of data, the optimization of algorithms, and the enhancement of computing power have laid a solid foundation for the commercial application of artificial intelligence technology. More and more traditional industries rely on artificial intelligence technology for transformation and upgrading, and they have attracted widespread attention. According to iiMedia Research data, the integrated development of artificial intelligence and finance, security, medical care, education and other fields has become the focus of attention of the public. 37.8% of the respondents said they knew the application of artificial intelligence in the financial field best; 39.3 % Of the respondents are most looking forward to the application of artificial intelligence in the medical field; 66.8% of the respondents are optimistic about the future development of artificial intelligence. iiMedia Consulting analysts believe that with the continuous improvement of the segmentation and specialization of the artificial intelligence field, the commercialization of artificial intelligence will accelerate, but the information security risks and ethical issues brought about by rapid development cannot be ignored.

2018年中国居民人均可支配收入达到28228元,同时居民消费构成发生了改变。消费金融产品普及率逐步提升。中国消费金融行业高速发展的同时暗藏着危机,2018年仅21CN聚投诉平台消费者相关有效投诉量就达到了31.5万件,成消费者投诉的重灾区。同时,负面舆情频出,网贷平台暴力催收、网贷平台爆雷等违规事件对于用户使用消费金融行为产生了影响。iiMedia Research(艾媒咨询)数据显示,消费金融因免息、折扣和便捷性俘获较多用户,但58.8%用户认为消费金融平台存在隐瞒使用风险的问题。同时,提升信息安全成为用户主要诉求。面对负面舆情,消费金融相关企业应该建立舆情预警机制,提升口碑。

The per capita disposable income of Chinese residents reached 28228 yuan in 2018, while the composition of residents ' consumption changed. The penetration rate of consumer financial products has gradually increased. China's consumer finance industry rapid development at the same time hidden crisis, 2018 only 21CN gathering complaints platform consumer related effective complaints reached 315,000 pieces, into the disaster area of consumer complaints. At the same time, the negative public opinion is frequent, the network loan platform violent Collection, the network loan platform blasting and other violations have the influence to the user to use the consumer finance behavior. According to iiMedia Research, consumer finance captures more users because of interest-free, discounts and convenience, but 58.8% of users believe there is a problem with consumer financial platforms concealing the risk of use. At the same time, improving information security has become the main demand of users. Facing the negative public opinion, the consumer finance related enterprise should establish the public opinion early warning mechanism, enhances the word of mouth.

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