4 月20 日阿里云宣布，未来3 年再投2000 亿，用于云操作系统、服务器、芯片、网络等重大核心技术研发攻坚和面向未来的数据中心建设。

3 月电子行业个股中位数涨幅为-15.81%，申万电子指数涨跌幅为-14.96%。2019年3月1日—3月31日，申万电子指数涨跌幅为-14.96%，同期沪深300、上证50、创业板涨跌幅为-6.58%、-5.57%和-6.02%。在申万28 个行业中，期间申万电子指数涨幅排名第28。

概念界定：遥感卫星是用作外层空间遥感平台的人造卫星。在卫星用途上区别于导航卫星、通信卫星和科研卫星等，主要应用场景资源调查、农业估产、天气与海况预报、防灾减灾和军事侦察。全球发展：美国1962年利用发射的“先锋2号”卫星首次拍摄地球云图，开启卫星遥感时代。航天版图不断扩大目前，美国、俄罗斯、中国、欧空局、日本、印度、以色列等国家均有自己的遥感卫星体系。美国在数量及技术参数上都领先于其他国家。

2020 年4 月第三周电子指数涨跌幅为1.20%，板块个股涨跌幅中位数为0.63%。本周，申万电子指数涨跌幅为1.20%，同期沪深300、上证50、创业板涨跌幅为1.56%、2.21%和3.62%。在申万28 个行业中，期间申万电子指数涨幅排名第6。2020 年初至今，申万电子指数累计涨跌幅为3.03%，在申万全部行业中排名7。本周，在大盘整体反弹的带动下，电子板块迎来反弹，整体呈现前低后高的走势，且成交量也随之放大。子板块方面，半导体、PCB 涨幅较大，LED、消费电子跌幅居前。随着一季度业绩陆续公布和二季度订单情况逐渐明朗，市场在极度悲观情绪后迎来了情绪面的缓慢修复。一季度业绩较好的半导体、PCB 和部分消费电子龙头在后半周企稳反弹，市场逐渐回归理性，不再一味悲观避险。总体来看，资金对于电子板块观望情绪虽有一定程度的减弱，但疑虑仍未完全消除，风格偏好上来说仍更愿意选择估值调整到位、业绩确定性较高的细分行业。

This research report on the 3D sensor market provides a holistic view of the use of 3D sensors in various end-user verticals. The study also furnishes critical actionable qualitative as well as quantitative insights about this market across Asia-Pacific. Moreover, the report further elucidates the key drivers, restraints, and opportunities pertaining to the market growth and future trends analyzed along with key countries included in the report. Various Technologies of sensor technology considered while conducting this study such as stereo vision, time-of-flight and structured light. The report summarizes a detailed, exhaustive analysis of the implementation of 3D sensors across end-user vertical such as healthcare, aerospace, industrial, automotive, consumer electronics and others. The research study focusses on current trends and opportunities in the market, future growth potential of the market, and competition among the 3D sensor providers across— Asia Pacific. The study also provides analysis and insights of the 3D sensor market, highlighting the technological trends, adoption rate, industry dynamics, and competitive analysis of major players in the industry.

Rising awareness toward predictive maintenance is driving the market, owing to the emergence of Industry 4.0 and sophisticated ‘smarter’ technologies. According to Accenture, predictive maintenance of assets is one matching area of focus, which saves up to 12% over scheduled repairs, reducing overall maintenance costs up to 30% and eliminating breakdowns up to 70%. A breakdown in critical equipment is costly to manufacturers in terms of repairs, as well as the loss of productivity and downtime. Approximately 98% of organizations stated that a single hour of downtime costs over USD 100,000. Ensuring that all equipment function optimally, remains an essential priority for manufacturers, many of whom are turning to predictive maintenance-enabling technology and solutions on their production floor. For pneumatics systems, it means a whole new level of condition and remote monitoring, to the extent that maintenance personnel can determine whether some obstacles have occurred or not.

After the collection of waste, the traditional way of sorting the waste is by manual ways. But this is not considered to be efficient. Thus, the development of automated robot-based sorting systems was conceptualized in 2016. Furthermore, these systems have been improved using Artificial Intelligence(AI). But the development and adoption of these robotic waste sorting systems have been slow, as the municipalities highly depend on either dumping or landfills to get rid of their waste. This is evident from how late these robotic systems were introduced. The United States started testing the Robotic sorting systems in 2016. The adoption of robotic sorting systems is expected to explode in the coming years, due to the anti- dumping regulation imposed by China and the new landfill regulation imposed by each country.