艾媒咨询|2021年夜间用药行业研究报告

本报告研究涉及企业/品牌/案例：美团，京东到家，饿了么

国内人口基数增长以及人们对于健康管理意识的增强，使得夜间用药市场的需求度也保持在较高的水平。iiMedia Research(艾媒咨询)数据显示，约89.9%受访者表示近一年有过夜间生病或者家人朋友需要用药的经历，并且，群众对夜间用药种类的需求丰富，并且在夜间各个时段的急性疾病需求都普遍较高。为此，04年起政府已经倡导24小时药店以满足用户需求。但是研究发现，“晚上买药难”是夜间生病人士普遍提及的关键词，即时配送平台兴起或成解决夜间用药新机遇。
The growth of the domestic population base and the increase of people's awareness of health management have kept the demand for night medication in the market at a relatively high level. According to data from iiMedia Research, about 89.9% of the interviewees said that they have had the experience of getting sick at night or needing medication at night in the past year. Moreover, the masses have a rich demand for medication at night, and acute illnesses at various times during the night. Disease needs are generally high. For this reason, since 2004, the government has advocated 24-hour pharmacies to meet user needs. However, the study found that "difficult to buy medicine at night" is a key word commonly mentioned by people who are sick at night. The rise of instant delivery platforms may be a new opportunity to solve night medicine.

艾媒咨询|2020年中国AI数据服务专题研究报告

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.