Big data describes a large volume of data that is used to reveal patterns, trends, and associations, especially relating to human behavior and interactions. For the retail industry, big data is used for a greater understanding of consumer shopping habits and how to attract new customers. Big data analytics in retail enables companies to create customer recommendations based on their purchase history, resulting in personalized shopping experiences. These big data analytics solutions also help in forecasting trends and making strategic decisions based on market analysis. This report features information on big data analytics in retail and services offered by key vendors. Furthermore, it highlights the strategies adopted by key market players to improve the market share and sustain competition. Key players profiled in the market include Alteryx Inc., IBM, Microsoft, Microstrategy Inc., Oracle Corporation, Qlik Technologies Inc., RetailNext, SAP SE, SAS institute, and Teradata.

后疫情时代电商整体渗透率加速，两年内整体线上渗透率有望达到30%，赛道呈现高景气。疫情加速了电商行业整体的渗透率，使整体渗透率提升。后疫情时代，消费回暖加速，8 月社零总额同比增长0.5%，环比提升1.6pct，为今年以来首次正增长。2020 年1-8 月实物商品网上零售额58,651 亿元，同比增长15.8%，较1-7 月提升0.1pct。

当前，全球新一轮科技革命和产业变革正在加速演进，人工智能（AI）、VR/AR、三维（3D）媒体和物联网等新一代信息通信技术的广泛应用产生了巨大的传输数据。资料显示，2010 年全球移动数据流量为7.462EB/ 月，预计到2030 年，这一数字将达到5016EB/ 月，移动数据流量的快速增长对移动通信系统的迭代提出了更高的要求。当前，5G 已经在全球范围内开始大规模部署。5G 与4G 相比，能够提供新功能并实现更好的服务质量（QoS）。尽管如此，以数据为中心的智能化系统的快速增长对5G 无线系统的能力带来了巨大挑战。例如要保证虚拟现实（VR）设备良好的用户体验，至少需要10Gbps 的数据速率，这已经是超越5G（B5G）后才能实现的目标。