The Global Edge Analytics Market Report is a compilation of comprehensive research studies of various aspects of the Edge Analytics Market. With accurate data and highly authentic information, a brilliant attempt is made to paint a true, transparent picture of the current and future situations of the global Edge Analytics market. Market participants can use this powerful tool when creating effective business plans or making major changes to their strategies. The report discusses the growth of the global as well as regional markets. It also throws light on high-growth segments of the global Edge Analytics market and how they will evolve in the years to come.
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Global edge analytics market was valued at USD 2498. 71 million in 2022 and is anticipated to reach USD 38751.52 million, growing at an estimated CAGR of 35.7% from 2022 to 2030.. Key Players: Accenture, ADLINK Technology Inc., AGT international, Analytic Edge, Apigee Corp, CGI Inc., CISCO, Foghorn Systems, IBM, iguazio, Microsoft, Oracle, SAP SE, SAS Institute Inc., amongst others
The emergence of IoT and proliferation of massive data generated through IoT devices has aided the edge analytics market in the recent past and is expected to follow a similar trend over the forecast period. The application of IoT in edge analytics is particularly applicable for mines, oil rigs and factories that operate in low latency environment and bandwidth. They are not only applied to sensor data but also for richer forms of data such as video analytics. Market participants such as Cisco, Dell, Intel amongst others, are considered early proponents of edge computing as they tend to position their gateways as edge devices. Traditionally, gateways performed the functions such as traffic routing and aggregation. In the edge computing model, the core gateway functionality has evolved. Edge analytics helps in pre-processing and filtering of the data closer to where the data is being constructed.
Another area, where edge analytics market is gaining rapid popularity is the smart city projects. Apparently, the data collected from different smart city components is huge. Hence, the issue of data deluge is creating problems while planning smart cities, as it can be expensive and difficult to manage. To handle the issue, edge analytics is implemented, so that computation is performed on end devices instead of sending back to a centralized data store. By passing the data through analytics algorithms at edge, companies can set parameters to decide what information is worth sending to the cloud for later use. This has helped to reduce the latency in the decision-making process for connected components. For instance, Teradata, a United States based analytics and consulting firm recently partnered with CISCO to gather, aggregate and normalize the information collected from smart city applications such as from lightning, parking, traffic, waste management and others and analyze the data in real time, so that the citizens living in these smart cities lead a qualitative life.
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Global Edge Analytics Market
By Component
- Solutions
- Services
- Professional Services
- Managed Services
By Deployment Mode
- On-Premise
- On-Cloud
By Type
- Descriptive Analytics
- Predictive Analytics
- Prescriptive Analytics
- Diagnostic Analytics
By Application
- Marketing
- Sales
- Operations
- Finance
- Human Resources
- Others
By Vertical
- Healthcare and Life Sciences
- Banking, Financial Services, and Insurance
- Manufacturing
- Retail and Consumer Goods
- IT and Telecommunication
- Transportation and Logistics
- Media and Entertainment
- Energy and Utility
- Government and Defense
- Travel and Hospitality
- Others
By Geography
- North America
- Europe
- Asia Pacific
- Middle East and Africa
- Latin America
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