Edge Analytics Market - NextGen Technological Advancements, Professional Survey and Future Industry Trends : 2025

Edge analytics refers to the process of performing analysis at the point where data is being generated. It is a way of gathering the data and perform analytical computations over the real-time data. It can be performed on sensor data, switches or other devices instead of waiting for data to be directed back to a central data centers. Data needs to be analyzed to detect patterns and to analyze market. It provide companies to simplify their operations over cloud. Edge analytics solution helps in preserving privacy. Data captured by internet of things (IoT) connected devices contains critical information such as GPS data and others. Edge analytic solutions are robust to connectivity issues and improve latency. Analyzing real time data helps in reducing latency in the decision-making process within connected devices. In case, if sensor data on manufacturing system points faces failure. Then business rules constructed into the edge analytic algorithm deducing the data at the network edge can automatically shut down the machine and alert to managers to replace the parts. There is increasing demand of edge analytical solutions across industries. Edge analytics solutions help in analyzing data and to mitigate the problems arising such as detecting the leak. Detection of problems through analysis helps in alleviating the risk. Edge analytics enhances scalability by applying analytics algorithms to sensors and network devices reducing the processing strain on enterprise data management and analytical systems. These analytical solution maintains performance even if number of connected devices within organizations along with the amount of data being generated and collected increases. Devices constantly send the sensor and video data increasing traffic over internet. Therefore edge analytics approaches can be installed to attain lower response time.

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Edge analytics solutions helps enterprises to grow their businesses. It helps enterprises in predictive analysis as data is processed near the sources so comparing real-time data with historic data helps in increasing efficiency. Hence, there is growing demand of edge analytics solutions in business-to-business as compared to consumer sector. There is requirement of real-time intelligence on network devices which helps in reducing traffic over network therefore edge analytic tools help in network management. There are various IoT devices being adopted which are generating large amount of data. These data require analysis on real-time basis. Thus, factors such as emergence of internet of things (IOT) and outbreak of large amount of data through connected devices are expected to drive the growth of the market during the forecast period.

There is lack of universally accepted standards for functioning of edge analytic solutions. Along with that, in edge analytics solution only a subset of data is processed and analyzed. It means some of the raw data has been discarded and some valuable insights might be missed. Thus, all such factors are expected to restrain the market growth in near future.

Market for edge analytics can be segmented on the basis of type, component, applications, deployment model, industry vertical and geography. The market is segmented on the basis of type into descriptive analytics, predictive analytics, prescriptive analytics and diagnostic analytics. On the basis of component, the market is segmented into solution and services. On the basis of applications, the market is segmented into marketing, sales, operations, finance and human resource. On the basis of deployment model, the market is segmented into on-premise and cloud. The market is segmented on the basis of industry vertical market into retail and consumer goods, IT and telecommunications, transportation and logistics, manufacturing, energy and utilities and others. The market is segmented on the basis of geography into North America, Asia Pacific (APAC), South America, Middle East & Africa (MEA), and Europe.

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Key players for edge analytics market are IBM Corporation, Cisco Systems, Inc., Oracle Corporation, Prism Tech, Predixion Software, AGT International Inc., SAP SE, SAS Institute Inc., Foghorn Systems, CGI Group Inc., Analytic Edge and Apigee Corporation.

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