Edge analytics is a data gathering and analysis process in which data from a network switch, sensor, or other device is subjected to an automated analytical computation. Instead of performing analysis after data is transmitted to the data storage, edge analytics does analysis on the device. Edge analytics reduces storage and operation costs while also allowing for linear scaling. Edge computing, also known as edge analytics, is a technology that can help businesses overcome infrastructure constraints. The technology is a progression of cloud computing and analytics, as well as an industrial manoeuvre aimed at democratising data analysis capabilities. It permits data to be processed right at the moment of generation. As a result, rather than sending data to the cloud for processing and waiting for analytical results, edge computing moves computation to the network's edge, reducing reaction time and data transmission costs.
The edge analytics market report details recent developments, trade regulations, import-export analysis, production analysis, value chain optimization, market share, impact of domestic and localised market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, and application market growths
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Key Driving Factors : Edge analytics market growth is fueled by predictive and real-time intelligence on network devices.
Predictive analytics has been a leading driver of analytics, and it is now being deployed at the network's edge to provide analytics at the edge, lowering the cost of data transmission, storage, and processing, which is significant during data analysis on centralised analytic hubs. Predictive analytics, which capitalises on embedding pre-defined intelligence (algorithms) to the server, where it may make decisions based on previous patterns, has been a primary driver of growth for edge analytics. Traffic departments employ real-time analytics on the edge to act on real-time intelligence to decrease traffic congestion, divert traffic, and so on.
Opportunities: There are numerous Edge Analytics Market Opportunities, such as the growing demand for more edge analytical solutions across a wide range of businesses. Edge analytics is growing in popularity due to increased demand. In addition, the market is benefiting from the increased adoption of new technologies such as IoT, natural language processing, machine learning, and computing, among others. The edge analytics industry is seeing growth due to lower operating costs and better performance.
This report offers the major market player’s profiles, such as Cisco Corporation (US), Oracle Corporation (US), SAP SE (Germany), SAS Institute (US), Apigee Corporation (US), Predixion Software (US), AGT International Inc. (Switzerland), Foghorn Systems (US), CGI Group Inc. (Canada), Analytic Edge (India), and Prism Tech (UK)
Based on Vertical: On the basis of Vertical, The Edge Analytics Market is segmented into Healthcare and Life Sciences, BFSI, Manufacturing, Media and Entertainment, Government and Defence, Travel and Hospitality, Others.
The Edge Analytics Market report has been categorized as below
Healthcare and Life Sciences
Retail and Consumer Goods
IT and Telecommunication
Transportation and Logistics
Media and Entertainment
Energy and Utility
Government and Defence
Travel and Hospitality
Rest of World
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Published Date : July-2021