The smart grid data analytics refer to a subset of Big Data analytics solutions used for analyzing the huge volumes of data generated from the smart grid network that consists of various components including smart meters, automated distribution systems, smart appliances, and other sensing equipment in the network. The demand for cost-effective and sustainable power supplies for producers and consumers in the utility sector has led the market for smart grid analytics as over an ever-growing power environment, a massive amount of data is generated by smart meters, sensors, automated dispensing systems, and a variety of other sensing devices.
The smart grid data analytics market is expected to grow at a CAGR of over +25%, during the forecast period 2018 – 2026.
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Top Key Players:
Accenture, Capgemini S.A., EMC Corporation, Hewlett-Packard Company, IBM Corporation, Opower, Oracle Corporation, SAP AG, SAS Institute, Inc., AutoGrid, Siemens AG, BuildingIQ, C3 Energy, Daintree Networks, Cloudera, Hortonworks, Hadapt, Platfora, Karmasphere, Domo, Sumo Logic.
This report is inclined towards the regions having highest scope such as North America, Japan, China, Asia, and India. The smart grid data analytics market is rapidly growing on the grounds of various businesses. The report includes the statistics about the systematic approaches, which needs to follow for booming the industries. It consists of different ways to analyze, seek, and shed light on new opportunities. This report consists of the estimated data about the drivers, restraints and opportunities that can help to drive the flow of the businesses.
The major growth drivers, challenges, and trends influencing the market are examined at length. A thorough qualitative and quantitative data pertaining to the projected impact of these factors on market’s future growth prospects are presented in the Smart Grid Data Analytics market research report. Focused market research methodologies help organizations in clearly gauging the most crucial stakes in the market that need to the considered for effective decision making.
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The report provides information on the technological advancements that are bound to take place in the coming years or are currently taking place in the market. Furthermore, the threats faced by the main player’s dominant in the global Smart Grid Data Analytics market have been highlighted. The geographical segmentation of the global Smart Grid Data Analytics entails the dominant regions in the market during the forecast period. Information on the region leading this market and the reasons for the dominance of this region are also some of the aspects highlighted under this section of the report.
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Table of Content:
Chapter 1. Overview of Global Smart Grid Data Analytics Market
Chapter 2. Competition Analysis by Players
Chapter 3. Company (Top Players) Profiles
Chapter 4. Market Size by Type and Application
Chapter 5. US Market Status and Outlook
Chapter 6. EU Development Market Status and Outlook
Chapter 7. Japan Smart Grid Data Analytics Market Development Status and Outlook
Chapter 8. China Market Status and Outlook
Chapter 9. India Status and Outlook
Chapter 10. Southeast Asia Market Status and Outlook
Chapter 11. Market Forecast by Region, Type and Application
Chapter 12. Smart Grid Data Analytics Market Dynamics
Chapter 13. Market Effect Factor Analysis
Chapter 14. Research Finding/ Conclusion
Chapter 15. Appendix
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