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.

The speech-to-speech (S2S) translation breaks down communication barriers among people that typically don’ t speak a common language. The basic purpose that such technology used to serve at its inception stages was to enable an instant oral cross-lingual communication. However, the recent developments in the market have been focusing upon accuracy of the Spoken Language Translation with capability to provide a “real-time” conversation. With globalization and frequent international travel, language difference has been acting as a serious barrier.With S2S, the expectations are to break such barrier to foster international business, international tourism, and equalize communication ability. Additionally, as of 2020, the language with a high demand around the world is Chinese (Mandarin). Ethnologue further estimates that the number of native speakers being 1.2 billion and a billion among them speak Mandarin. This is suggestive that Chinese is the most spoken globally and the second-most preferred for online applications after English. The recent technological advances and innovations to increase computational power whilst building smaller and smaller devices with higher performance has led to a strong demand for information retrieving and communication enabled technologies in the market. Further, as machine translation investments rise, the resultant is a more accurate translation.

四川省经济增长主要由第三产业增长驱动。2019 年四川省 GDP 达到 46615.8 亿元，同比增长 7.5%。其中，第三产业增加值 24443.3 亿 元，增长 8.5%。三类产业结构分别为 10.3 : 37.3 : 52.4。第三产业在 省经济产出中占据最大规模，对经济增长的贡献率达 52.6%。2019 年，四川省高新技术产业实现营业收入 1.9 万亿元，同比增长 7.6%； 年末有高新技术企业 5669 家。2018 年，四川省研究及实验（R&D） 经费达 737.1 亿元，在我国大陆 31 个省级行政区中位列第 8，居于前 列。2018 年四川省技术输出合同成交额达 405.83 亿元，在大陆省级行 政区中位列第 9。

增强现实（AR）技术将虚拟信息与真实世界结合，利用三维建模、智能交互、传感等多种 技术，将计算机生成的文字、图象、三维模型等虚拟信息仿真后，应用到真实世界中。

Owing to this, various vendors in the market are increasingly launching several forms of API that are related to emotion detection and analysis, even from key vendors such as Google, Microsoft, and Amazon. Furthermore, the launch of multi-modal solutions, which include the integration of speech, text, and facial recognition and increasing the role of muscle activity, brain activity, skin conductance, and hear t rate monitoring to deliver better emotional intelligence of the human has significantly led to huge customer awareness about the technology. Key areas where emotion detection and recognition are expected to gain traction include: entertainment (majorly gaming), transpor tation (autonomous cars), healthcare (various kinds of diagnostics), and retail (to enhance customer experience). For instance, recently Holst Centre (in the Netherlands) launched the prototype of a new electroencephalogram (EEG) headset, which is intended to measure cognitive processes in the brain and emotions. This headset can be used for gaming, learning, and therapeutic applications. The automotive industry is expected to be another major adopter of the technology over the coming years. With the advent of autonomous cars, ADAS, and connected cars, the incorporation of IoT and sensors is on the rise; automotive vendors are expected to incorporate EDR primarily for safety.

Modern synthetic monitoring technology offers a significant benefit. While APM and other traditional monitoring technologies can only monitor systems within an infrastructure, the modern synthetic monitoring technology can track the performance of SaaS from the user ’s lens, and almost always before there is a widespread impact. Thus, owing to the widespread adoption of cloud computing and applications, DevOps and fast IT adoption are expected to be the biggest growth areas for business technologies. According to Veritis, 50% of organizations have already implemented DevOps, as of 2018. With synthetic monitoring solutions, DevOps can simulate user behavior and proactively detect performance problems from around the world and around the clock, before they impact end users.  Additionally, negotiating and adhering to service level agreements (SLAs) are now more important than ever, with the increasing complexity of websites, applications, and software services. Synthetic monitoring enables companies to scale these SLAs, by simulating the actual environment. This allows the vendors and the website owners to abide by and manage the agreements, respectively.

Biometrics have rapidly established itself as the most per tinent means of identifying and authenticating individuals in a reliable and fast way, using unique biological characteristics. The global biometrics market is increasing at a rapid pace owing to the need to combat the rising security challenges. Fingerprint, facial recognition, eye/iris recognition, and voice recognition are being used to authenticate the consumers today. The increasing connectivity and digitization have increased customer interactions with devices and services, which is further demanding identity authentication for access. The increasing awareness of the need for sophisticated biometric security, widening the scope of applications of biometrics technology in consumer electronics, to improve customer experiences, and technological advancements are expected to drive the growth of the market over the forecast period. Rising demand for ease and convenience, availability, and reachability of biometrics is expected to create opportunities for the market fur ther. According to the findings of a survey commissioned by VISA, consumers are ready to leave the password behind. 70% of consumers believe that biometrics are always more comfor table as they do not involve memorizing passwords. More than 65% of consumers are already familiar with biometrics, while 86% are interested in using biometrics to verify the identity or to make payments. The rapid proliferation of the internet and the growth of mobile devices has led to increased payments through mobile. This mode of payment is anticipated to experience significant growth over the next few years.