受益于股市上涨、税收调减转回等因素，保险公司2019 年净利润大幅增长72%，对应H 股股息率已普遍达5%-7%。1）2019 年沪深300 指数上涨36.1%，保险公司投资收益同比大幅增长。同时，手续费及佣金税前列支比例提高，从“2018年税收调减转回”和“2019 年所得税率降低”两方面对利润产生正向影响。2019年上市险企净利润合计同比+72%，国寿、平安、太保、新华、人保净利润分别增长411%、39%、54%、84%、67%。2）受益于股市上涨，保险公司浮盈增加，其他综合收益/投资偏差对净资产和内含价值（EV）产生积极贡献。上市险企净资产合计较年初+21%、EV+19%。3）分红率、股息率普遍提升，H 股股息率普遍高于A 股。A 股保险股股息率大多达1.9%-4.3%，较2018 年有所提升。多数H 股险企股息率大于5%，其中中国财险股息率为7.0%。

从我国第三方移动支付市场的发展历程来看，根据不同时期的主要增长点不同大致可以分为三个阶段。第一个阶段是 2013-2017年的线上场景驱动阶段，电商、互金、转账的先后爆发持续推动了移动支付的快速增长。第二个阶段是2017- 2019年的线下场景驱动阶段，2017年开始线下扫码支付规模全面爆发增长，线下场景的支付增速远高于线上场景支付的 增速，引领移动支付经历了由线上驱动阶段到线下驱动阶段的转变。第三个阶段是从2019年开始的产业支付驱动阶段，以 C端驱动的线上线下支付因C端流量见顶都进入了平稳增长期，而产业支付伴随产业互联网的快速崛起正逐渐成为我国移动 支付新的增长点。

A major driver for the adoption of digital asset management (DAM) solutions is the high return on investments. As a result, the spending by organizations for asset management is expected to increase, during the forecast period.Customer engagement is emerging as the most effective method of customer retention, and mobile phones are the foundation of this trend. The number of connected devices is increasing, globally. With solutions, like interactive store windows, digital signage, wearable devices, marketers are finding it difficult to create and deliver assets that offer consistent and compelling brand messages across the screens. These marketers must develop content for diverse audiences, which is either automatically responsive (resizable) or completely reconfigured for different screens. As a result, marketers are investing in DAM solutions to help organize and transform their assets, automatically, into the right size and formats to reach customers, ever ywhere and on any screen.

The key objective of big data analytics system is to help organizations get a better understanding of their customers and help it narrow down their targeted audience; thus, improving companies marketing campaign. Numerous benefits of big data analytics such as allowing customers to capture and process different services, modify existing orders, process customer moves and price quotes to the customers. The main purpose of big data analytics solution is to verify and process the telecom order based on its product catalog and service catalog. Rise in demand for network installations across rural areas and rapid increase in connectivity devices and subscribers are the major factors that drive the growth of the Big data and business analytics market. Furthermore, integration of advance technology such AI, machine learning and big data and lack of standardization and compatibility issues with the existing systems are anticipated to provide lucrative opportunity for the market.