The need to reduce the costs of manufacturing and processing is expected to accelerate the market studied over the coming years. The 4D printing technology has the potential to enable reduced capital and inventories, which increases the manufacturer’s market efficiency. A 4D-printed product causes lesser manufacturing, transportation, and handling costs, which ultimately leads to saving resources and efforts. Moreover, 4D-printed objects can harness existing 3D printers, which is also one of the driving factors for the technology growth. Although the technology is still at infancy and in its R&D stage, companies are working toward developing both 4D printing technology. Specialized 4D printers as well as the materials suitable for 4D printing are, therefore, likely to shape the market studied. The concept of 4D printing first gained interest after MIT’s Self-Assembly Lab in partnership with 3D printing manufacturer Stratasys and 3D software company Autodesk, back in 2013. 4D printing, which is the next step in the evolution of 3D printing, adds the dimension of time to the traditional 3D printing process. What this means is that a 3D-printed object can change its shape after it is printed, in response to water, heat, or pressure etc.

从 Facebook、Apple、Amazon、Microsoft、Google（FAAMG）北美前五大科技企 业 2Q20 业绩中我们看到：2Q20 北美云计算市场收入同比增长 34%，增速虽受疫 情影响环比下滑，但整体符合市场预期；资本开支总和同比增长 8%，增速相比 1Q20 的 31%有所下滑，但超出 Factset 一致预期 5%。

美股科技巨头（FAAMG）二季度业绩超出市场此前悲观预期，调整后净利润同 比增速由负转正。同时伴随疫情扰动减弱，其对 H2 业绩展望转向谨慎乐观。 市场短期仍面临在线广告需求恢复缓慢、企业 IT 支出走弱等潜在风险。我们 判断本轮北美云厂商资本支出大概率已进入下行周期，2021Q1 是下一个观察窗 口。目前 5 大科技巨头市值合计 6.7 万亿美元，占美股整体、标普指数比重 14.4%、22.6%，继续创出新高，考虑到基本面、流动性等层面因素支撑，我 们预计短期这一趋势发生逆转概率仍较低。

我们在《科创板解禁压力可能带来配置核心资产机会》、《再看科创板解禁：创业板股东如何减持》和路演中多次提 示，科创板两波大额解禁是下半年成长股择时的胜负手，目前完美验证。以创业板为参考，解禁前后市场呈现V型反 转，此次科创板表现类似，目前处于V型反转后半段修复期。 本轮科创板解禁前下跌存在新逻辑：板块中龙头企业中微公司提前筹划询价转让，询价转让价格为前20日收盘价均价 的73.5%，部分配置型资金短期可能将二级市场筹码抛出，更换成询价转让筹码（6个月锁定，至明年1月），二级市 场股价同时向询价转让价格靠拢。龙头公司的调整短期可能压制了板块表现，关注10-11月优质公司询价转让情况。 我们在《20200324跟踪科创板风向标，把握成长股行情》中提出，科创板是创业板和成长股的温度计和先锋官，此次 科创板进入解禁修复期，叠加创业板注册制躁动期，市场风险偏好和成长风格有望受到催化。

The life sciences industry is moving from treatment to preventive scenarios and management of patient's health outcomes. In addition, early detection of disease patterns and strategic target is the key for effective business strategies. Thus, life science companies are demanding for analytics software that is used to transform data into useful insights. Further, benefits of analytics software in life sciences such as early detection of prescription and treatment patterns, strategizing patient outcomes and achieving better operational quality that drives the intellectual journey of patient centricity further boosts the growth of the global life science analytics software market. The market is derived exclusively on the basis of the revenue generated through software license, maintenance and subscription. These are used in research & development, clinical trials, preclinical trials, sales & marketing support, regulatory compliance, supply chain analytics and pharmacovigilance. It doesn’t include revenue generated from services provided by the companies.

The environmental dilemma caused by reaching high levels of greenhouse gas emissions in the atmosphere is one of the major drivers for the bioplastic market, as Bioplastics help to reduce the dependency on fossil resources, reduce greenhouse gas (GHG) emissions, and increase resource efficiency. Plastics takes about 100 years to decompose, then plastics lies in landfills for very long period. Whereas, bioplastics produced from plant biomass, such as corn starch, sugar cane or wheat, and can be break down or decompose and are absorbed back into the environment. The rate of decomposition of biodegradable bioplastics by the activities of microorganisms is faster than that of traditional plastics. For instance, starch-based bio plastics break down by approximately 65% within three months. This, in turn offers positive impact on the environment, as biopolymers are non-toxic and are easier to recycle. Hence, they take less time to break down, which helps in the protection of the environmentFurthermore, major challenges, such as climate change, energy security, food security, rising human population, and global economic meltdowns, have increased the need for sustainable economic growth that may not have a negative impact on the environment. In this regards, one of the major issues faced by the world remains the replacement of toxic releasing and non-biodegradable polymer. to control air pollution produced due to non-biodegradable plastics, governments across the globe introduced various regulations and policies. Furthermore, governments are encouraging the use of eco-friendly and biodegradable materials for the manufacture of polymers.

The benefits of total laboratory automation include reduction of human errors in specimen handling, enhancements in overall process control, and faster turn-around-times (TAT) from specimen collection to test result reporting. Across various industries, laboratories are a vital part of manufacturing and scientific research organizations. The primary goal of research and diagnostic labs is to provide high quality and reliable information, which fulfills the industry needs. The use of manual systems hampers data quality during the transferring process. Currently, technological advancements and increasing pressure to deliver results have led to the use of automated systems in laboratories. The adoption rate of automated systems is increasing, due to its accuracy, advanced data management capacity and reduced repetitiveness, and ultimately reducing the human intervention, and thereby, increasing throughput and accuracy. Many core labs are looking to enhance testing efficiency and better manage resources by upgrading to total laboratory automation (TLA). Although total lab automation can be challenging to plan and implement, it is particularly suited to laboratories that conduct a broad spectrum of highly automated testing coupled with sophisticated laboratory information systems. TLA avoids the duplication, delays, and waste that can occur with task targeted automation.