IoT终端激发多场景耳朵需求，未来夜听场景将更智能化； 2020智能家居设备出货量增速预计25%，夜听经济未来发展空间巨大； 物联网推动夜听场景多元化，平台运营趋于个性化。

2019年，随着企业积极性增高、政策支持力度加大、产业支撑能力提升，我国超高清视频产业生态体系已初步建立，产业处于快速发展期。展望2020年，端到端关键标准将陆续出台，若干短板环节有望形成突破，产业链各环节快速升级换代，行业应用市场规模不断壮大，产业推进措施进一步实质化，区域产业基地更加聚焦特色，将带动我国超高清视频产业持续快速发展。与此同时，在超高清视频产业发展过程中仍面临三大问题与挑战。为此，未来应立足基础技术，建设产业链标准体系；开放合作创新，强化人才梯队化建设；整合优势资源，促进产业有序、健康、高速发展。

2018 年全国软件和信息技术服务业完成软件业务收入6.3 万亿元，比上年增长14.2%，其中企业级软件及服务市场规模约3199 亿元，比上年增长14.6%。经赛迪顾问研究测算，2018 年电信行业运营支撑系统市场规模达到32.22 亿元，相比2017年增长了5.13%，继续保持增长态势。未来三年，随着电信固定资产投资规模的大幅增长，运营支撑系统市场规模也将保持快速增长的态势。预计到2021 年运营支撑系统市场规模达到44.72 亿元，未来三年复合增长率达到11.54%。

2019年，国家围绕稳就业提出多项促进人才就业的意见，为人才就业创造出良好的环境。多方意见主要从两个方向进行：1）需求方面，支持企业稳定岗位，开发更多就业能力强的服务业岗位，如家政、旅游、养老等，推进公共就业服务建设，统筹资本密集型、技术密集型、知识密集型产业发展，创造人才流动机会。2）供给方面。深化人才技能评价改革，建立职业技能等级制度，从国家、行业、专业等层次构建多层次职业标准体系。艾瑞分析认为，政策制定为整个行业发展提供了发展方向，国家的就业政策为网络招聘行业的发展和人才资源的有效配置创造了稳定的环境。

The electricity generation, transmission, distribution, and consumption processes, within the vast industrial landscape, are undergoing dramatic changes. On the production side of the business, the pressure is on the utility companies to include greener approaches to production and to improve efficiency at every stage of the process. However, on the consumption side of the business, governments are encouraging optimal energy usage and are providing incentives for the same, through various programs. With the advent of robust information and communication technologies, and new transmission and distribution (T&D) technologies, smart grids are enabling the mitigation of the imbalance between the demand and supply of energy, and are enhancing the utility’s ability to balance load, stabilize the grid, and improve resilience. Although the technological trend has drastically advanced within the sector, there is a lot more to be done to make the industry eco-friendly. Demand response encompasses several different strategies, by which the commercial electricity customers are incentivized to adjust in the short-term, when they use electricity in contrast to energy efficiency and energy conservation, which seek to reduce total electricity load. Demand flexibility can also help providers in some cases, to avoid or defer investments in central generation, transmission, distribution, and peaking power plants.

Legacy contact centers operate on older technologies that cannot support newer channels, such as social media, mobile app chats, or videos. The cloud-based contact centers can aid companies in achieving these goals. Modern channels can be integrated by using communication application programming interfaces (APIs). Analytics-led insights can then be applied to deliver context-rich and personalized customer experiences. Moreover, as there is no centralized workplace, agents can operate remotely to offer round- the-clock customer care service. Cloud-based call centers are slowly substituting the on-premise call centers. According to the State of Customer Experience 2018, the migration of 39% contact centers in the United Kingdom to cloud with 57% of them chalking out an action plan to move to cloud-based call centers within the next three years, indicates the potential for the overall market. Furthermore, cloud-based infrastructure makes contact centers extremely scalable. They can be rapidly expanded to handle peaks during holiday seasons, which is considered as a crucial stage for a majority of retailers and scale back during other seasons. No additional investments are required toward infrastructure or management costs to manage the peak loads. This allows the companies to manage their budgets, technology usage, and employees, optimally.

Machine vision provides machines with a gift of sight, complementing or replacing manual inspection tasks, using cameras and image processing. Machine vision applications range from basic tasks, like presence detection, to real-time inspection and grading tasks in harsh environments. Manufacturing firms across the world are realizing the benefits of machine vision systems, particularly in areas where redundant tasks, like inspection, should be performed with precision. They are playing an essential role in high-speed production lines and hazardous environments. Some of the significant benefits offered by these systems include increased productivity, reduced machine downtime, and tighter process control. In case of a pure 2D machine vision system, the target object image acquired for processing is effectively a flat, 2D plan view. This 2D image does not provide any height information. When utilizing 2D cameras, Z (distance from camera) is generally assumed. This is not as effective as parts may move, change size, etc. and then the 2D camera may miscalculate the location. Owing to such reasons, end-user industries are embracing 3D systems, that allows for a clean part pick-up with known positional data (X, Y, and Z), despite any disruption.

Enterprises are focusing more and more on adopting diverse technologies for their business operations, in a bid to reduce their overall costs and gain a competitive advantage over their rivals. Vendors of material handling solutions have gradually veered toward the modern approach of helping end-users focus on the space and time utility of their operations, by manufacturing flexible systems that can seamlessly integrate with other systems as a part of the overall material handling plan.  For instance, AS/RS have emerged as one of the most dynamic solutions in the field of material handling equipment and are mainly deployed in warehouses and distribution centers. Despite gaining initial traction in the manufacturing sector, other sectors such as food & beverage, life sciences, etc. have gradually realized the benefits of using AS/RS across various phases in the supply chain, ranging from mundane to complex tasks.