Market Research Report
Edge Analytics Market - Growth, Trends and Forecast (2020 - 2025)
|Published by||Mordor Intelligence LLP||Product code||670001|
|Published||Content info||127 Pages
Delivery time: 2-3 business days
|Edge Analytics Market - Growth, Trends and Forecast (2020 - 2025)|
|Published: January 1, 2020||Content info: 127 Pages||
The Edge Analytics Market was valued at USD 3.54 billion in 2019 and is expected to reach USD 17.13 billion by 2025, at a CAGR of 30% over the forecast period 2020 - 2025. Edge analytics, an alternative to big data analytics, provides real-time analysis of data generated on the edge of network devices, which is in an unstructured form. Edge analytics performs the automatic analytical computation of collected data in real-time, instead of sending the data back to the centralized data store or server. Edge Analytics is increasing at significant force across the world, owing to the constant advancements of workplace performance enhancements and increase adoption of internet of things (IoT), which are driving the edge analytics market growth to the large extent. Moreover, its distinctive features like cost optimization and scalability are significantly boosting the growth of the market.
Edge analytics is a way to data collection and interpretation in which a programmed analytical computation is performed on data at a sensor, network switch or another device instead of waiting for the data to be sent back to a centralized data store.
Retail Industry to Drive the Edge Analytics Market
North America Holds the Largest Share in Edge Analytics Market
The United States remains a prominent market for Edge Analytics, due to increasing acceptance of edge analytics among small and medium-scale firms, supported by government regulations and compliance. Additionally, significant growth of the edge analytics market can be attributed to the high concentration of manufacturing and telecommunication industries that majorly adopt edge analytics services. The demand for edge analytics is directly related to cloud traffic. Due to the huge increase in cloud traffic, significant growth in the market can be observed.
North American Insurance companies are changing the way they utilize cloud computing. While both property & casualty and life insurers have employed cloud to increase agility, increase operating efficiency, attract new talent and reduce operating costs, there is an emerging trend in insurers viewing the cloud as a business asset. Cloud operations cost can be significantly reduced by using a distributed edge computing architecture, where edge devices together process a critical operation, which a cloud device cannot process on its own, thereby reducing cloud dependency.
Also, significant growth in sensor technology can be witnessed in the region. By combining the innovations of sensor technology with reducing hardware costs, the edge-to-cloud paradigm can be established. Sensors with processing units can help take critical actions in an inconsistent cloud environment and can later synchronize with the cloud.
The edge analytics market is extremely competing and consists of numerous significant players. In terms of market share, few of the significant players currently control the market. These important players with a noticeable share in the market are concentrating on growing their customer base across foreign countries. These businesses are leveraging strategic collaborative initiatives to enhance their market share and improve their profitability.
May 2018 - Wood and IBM collaborated to transform the asset life cycle management. This partnership will help create and offer new digital products and services that can help increase operational efficiencies for customers in the industrial and energy markets. The transformation was realized with the help of the edge analytics suite of IBM.
Mar 2019 - FogHorn, announced NTT Data, a trusted global innovator delivering technology-enabled services and solutions to clients around the world, has selected its Lightning software to deliver on-premise real-time analytics and AI to their industrial clients. NTT Data offers deep expertise and IoT consulting and integration services which are utilized by FogHorn in the manufacturing, telecommunications, and energy industries.