The Report Global Edge Computing Market (2018-2023) gives a detailed analysis on the global market for edge computing. The report gives current and forecasted regional (North America, Europe, Asia-Pacific, Latin America, and Middle East and Africa) market size data for the North America edge computing market, based on applications: smart cities, smart factories, connected healthcare, connected vehicles, smart grids, and other, based on end users industries manufacturing, energy and utility, IT and telecommunication, healthcare and life sciences, consumer appliances, and transportation and logistics. The report covers market trends and market drivers and challenges for the global edge computing market. The report will help in formulating product marketing strategy based on industry and economic factors. The top players in the market are Cisco system, Microsoft Corporation, IBM, Google, Amazon, SAP, Oracle, Huawei Technologies Co. Ltd and Intel Corporation.
New technological innovations have led to the innovation of Industrial Internet of Things (IIoT). Edge computing is a swiftly becoming a part of IIoT and is paving way for digital transformation. Though it is not a relatively new concept, the rapidly emerging trends have facilitated in using the massive machine data into valuable insights. ‘Edge’ means computing infrastructure close to sources of data. These edge devices are far from the centralised computing in the cloud. Thus, this facilitates analysis of data from the source of its generation. Thus, the data generating devices are not to be necessarily connected to laptops, sensors or tablets to generate valuable insights. Until the recent past, the role of edge computing was limited to just transforming data to cloud systems.
By using big data and analytics, and of recently edge computing, industries are more and more using data to get clean insights that help in reducing unplanned downtime, improve productivity and lower energy consumption. Though edge computing is changing the way industries process data, cloud will also be helpful in managing vast data volumes from machines. Edge computing has helped in keeping up the promise of Industrial IoT. The factors driving the growth of edge computing are the ever – evolving machine learning and analytics. Along with this, the reducing prices of sensors, vase amount of data, more power to smaller devices. These factors will help in harnessing insightful decisions and actions.
The factors that threaten the market are low connectivity, lower bandwidth, higher cost of transmission of data to the cloud, compliance and regulation, the pressure to very quickly process and analyse data, and access to data for real – time analytics. Overseeing these, edge computing gives many benefits in the terms of predictable maintenance, energy management and flexibility.
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