面對全球手機市場需求持續疲弱，加上系統級封裝 ( 、扇出型封裝 (Fan Out WLP) 比重持續提升，使得手機用 BT 載板的出貨難以明顯拉升，但隨著各國電信商陸續投入 5G 商轉，帶動 5G 基地台等基礎建設需求逐步攀升，日本廠商除持續投入伺服器、網通設備等非手機應用領域的拓展外，更逐步將類載板產能移做 ABF 載板的生產，帶動 2019 年日本 IC 載板全年產值仍持續呈現微幅成長的態勢。

Carpets are textile floor coverings used for improving aesthetics of the floor space. Carpets consist of an upper layer of pile with a backing attached to it. The synthetic fibers such as polypropylene, nylon, or polyester are widely used for the construction of upper layer (pile). Carpets are available in a plethora of shape, size, patterns, textures and materials. The report scope includes carpet made up of Nylon, Olefin, Polyester, and Others which includes jute, wool coconut fiber etc. By end user the carpet market is studied across residential and commercial segment. The report excludes rugs and other flooring coverings.

Domestic players have leading positions in the paper manufacturing sector. Most of the companies are controlled by private capital and some are traded on a regulated market. In order to increase their market competitiveness, these companies have to optimise their input costs. This includes to generate their own electricity and import low-cost raw materials. The Chinese paper manufacturing sector has high entry barriers, because the major players on the market rely on economies of scale, which makes the companies’ capital outlays and fixed costs high. The Chinese government policy also contributes to high entry barriers, with the rising level of regulation related to climate change and energy efficiency, affecting the paper and paperboard production.

China’s natural gas output fall short of meeting the government’s ambitious aim to gradually replace coal with natural gas and reduce air pollution. The country’s heavy reliance on gas imports exposes its supply–demand balance to risks, which can lead to volatile gas prices. For example, when the demand for gas peaked in November 2017, the LNG price rocketed to a record high of RMB 7,000 per tonne. Therefore, China needs to urgently develop gas storage facilities to buffer the impact of demand peak. Despite holding vast reserves of unconventional gas with up to 124.67 bcm of newly discovered shale gas in 2018, producers must contend with China’s complex topography and the remote locations of its resources, which results in higher prices and longer time required for drilling.

2019年世界基础石化产品产能增长再创新高，消费增速连续三年好于经济表现，但市场供需失衡仍在加剧，导致世界石化产品价格大幅下跌，行业营收大幅萎缩。同期，在替代、新业态、出口及基建消费拉动下，国内乙烯当量消费实现10%以上的增长，因此聚乙烯进口也大幅增长。在新增产能和进口量大增的压力下，石化产品库存全年维持高位运行，产品价格也跌至近年新低。2020年，世界石化产品供需增长放缓，北美等新增供应将持续转化为出口，进一步流入中国市场。世界石化行业盈利在2019年跌出景气区间后，或在2020年继续下探。同年，国内受新冠疫情影响，乙烯当量消费将有所下降，替代、基建等消费领域仍有增长空间。预计2020年国内石化产业整体盈利下跌幅度趋缓，产业链盈利继续向下游转移。在国内安环和信贷政策趋紧的背景下，高成本供应将面临退出挑战，行业将加速向头部集中，市场也将逐步向新平衡过渡。

2019年对于石油市场而言是极不平凡的一年，全球“黑天鹅”事件频发，但“黑天鹅”事件往往来得快去得也快。总体来看，在欧佩克（OPEC）减产、美国制裁伊朗与委内瑞拉、地缘政治动荡加剧的背景下，2019年全球石油供应出现多年来的首次下降，轻重质原油资源呈现结构性的不平衡。展望2020年，全球石油供应有望恢复增长，增量除了美国之外，还有相当一部分来自巴西、挪威、圭亚那等国，供应呈现百花齐放的特点。此外，轻重质原油资源失衡的结构性矛盾仍然存在，地缘政治动荡或继续加剧。受到国际海事组织（IMO）船舶燃料新规影响，预计2020年运费市场高位震荡，从而抬升全球原油运输成本。

2019年，全球市场剧烈动荡，宏观经济下行压力不断加大。面对各种风险、挑战和复杂局面，化工行业平稳运行，行业景气高位震荡下行，固定资产投资增速小幅回落，生产活动平稳，化工产品实现稳定增长，整体呈现供给宽松局面，行业PPI持续下降，行业盈利能力有所下滑。展望2020年，不确定不稳定因素仍然很多，外部环境依然严峻，化工行业将继续坚持环保绿色发展。受新冠疫情影响，1季度化工产品的产销出现较为明显的下降，疫情过后，下游消费会出现明显反弹，预计2季度后市场将会迎来新的繁荣，行业生产或将恢复至正常水平。民营炼化、农化、新材料、燃料电池等细分领域具有潜力空间和投资机会，但诸多投资风险因素尚存。

Smart labels are becoming one of the most popular technologies across the retail, healthcare, and logistics sectors, among others, and are viewed as an ideal means to achieve greater efficiencies and profitability, while providing the authenticity of an item and its traceability from the warehouse to the distribution center throughout the supply chain. These labels are used as a tool to enable smart supply chains and are also playing a vital role in the marketing and advertising of consumer products, which can be achieved through the provision of product information, as well as the analysis of consumer buying patterns that can be accessed from the data collected by these labels. Cost cutting over the supply chain, to be closer to the nearest level of efficiency, by manufacturers, has been a critical factor that has augmented the demand and prompted the proactive adoption of these solutions to gain the first mover advantage in the individual end-user industry.

In el ectronics manufacturing, IC (integrated circuit) packa ging is the final s tage of semiconductor device fabrication, in which, the tiny block of semiconducting material is encased in a supporting case that prevents physical damage and corrosion. The increasing efforts to make the electronic packaging highly resourceful has led to amplified usage in a myriad of applications. The reduction in package size is inversely proportional to the power dissipation. Therefore, the players in the market are striving to develop semiconductors that can retain power with reduced size. For instance, NXP semiconductors achieved 55% reduction in package size for its transistors range by retaining the same power performance，both devices take up an area space of 2 mm by 2 mm. These trends drive the growth of the miniaturized semiconductor and IC packaging markets. This has also resulted in the development of three-dimensional integrated circuits (3D IC) technology, which is increasingly adopted across various space-constrained applications, including portable consumer electronic devices, sensors, MEMS, and industrial products, as it increases the overall performance of the products regarding speed, durability, low power consumption, lightweight, and memory.

Predictive analytics offers companies actionable insights based on data. It delivers estimates about the likelihood of a future outcome. Companies are using these statistics to get a forecast of the future developments. Moreover, the foundation of predictive analytics is based on probabilities. Prescriptive analytics uses techniques and tools such as business rules, algorithms, machine learning (ML) and computational modelling procedures. This kind of technique is applied against input from many different data sets including historical and transactional data, real-time data feeds, and Big Data. The businesses and enterprises that are already using some sort of descriptive analytics tools and solutions are better positioned for predictive and /or prescriptive analytics solutions adoption. The presence of historical data to forecast from and run algorithms makes them use these solutions more effectively. The demand for business intelligence has been on the rise, in recent years, with enterprises and organizations planning to enhance productivity and increase sales by adopting automated solutions. Therefore, BI tools have witnessed a tremendous rise in its adoption across various industries around the world. Additionally, predictive and prescriptive analytics is helping in boosting the demand for business analytics among the BI professionals, as Big Data is becoming the focus of analytics processes that are being leveraged not only by the big enterprises, but also by the small and medium-sized businesses alike. Moreover, the development of better visualization tools, as well as incorporation of NLP and voice input capabilities have further added to use ease of use.