Market Research Report
Big Data Management for Utilities - Devices, Edge Computing, Data Storage, Platforms and Analytics: Global Market Analysis and Forecasts
|Published by||Guidehouse Insights (formerly Navigant Research)||Product code||854104|
|Published||Content info||41 Pages; 30 Tables, Charts & Figures
Delivery time: 1-2 business days
|Big Data Management for Utilities - Devices, Edge Computing, Data Storage, Platforms and Analytics: Global Market Analysis and Forecasts|
|Published: May 21, 2019||Content info: 41 Pages; 30 Tables, Charts & Figures||
Data is changing the utility market. It frees up capital through efficiency savings, creates new digital products and services, and helps improve understanding of customers. Utilities are increasingly interested in big data management, whether at the device-level (edge computing) or in the back-office (databases, lakes, warehouses). The next evolution in the data management space comes from the advancement of Internet of Things (IoT) analytics platforms. These solutions include most functionality for the process of analyzing data from connected devices: data acquisition, preparation, cleansing, storage, integration, analysis, and the delivery of insights.
Despite the profusion of data management products, IoT platform adoption remains low, with few customers using these platforms at scale. Until the market further matures, utilities are likely to continue using traditional data stores in lieu of IoT platforms. Although traditional storage options such as historians, databases, and data lakes are often sufficient for utilities in 2019, they may not be in coming years.
This Navigant Research report analyzes the key trends, drivers, and barriers to adoption of data platforms and other big data management solutions within the utility industry. The study includes several submarkets within the utility data management space alongside global market adoption trends. Global market forecasts, segmented by technology, application, and region, extend through 2027. The report examines different application segments for data management: data platforms, connected devices, edge computing, data storage, and IoT analytics.