Report Consultant has delivered a complete global smart grid data analytics market research report by accompanying analytical research on several market perceptions such as major key developments, provincial outlook, key players and various market sectors.
The smart grid data analytics market is expected to grow at a CAGR of over +25%, during the forecast period 2019 – 2026.
Smart grid analytics are solutions used to examine the data generated from the smart grid networks. They are also known as Big Data analytics solutions utilized for utilities and energy. The main agenda behind the utilization of smart grid analytics solutions for utilities and energy sector is to allow utility providers to enhance their efficiency and reduce the losses that occur while the generation and distribution of electricity.
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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, AutoGrid, Siemens AG, BuildingIQ, C3 Energy, Daintree Networks, Cloudera, Hortonworks, Hadapt, Platfora, Karmasphere, Domo, Sumo Logic.
The report includes the statistics about the systematic approaches, which need 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. This report is inclined towards the regions having the 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.
Following major points are highlighted in the research report:
- The present approach of global smart grid data analytics market
- Tracking of global opportunities
- Detailed elaboration of global market trends (challenges, threats, opportunities, strengths, and weaknesses)
- Identification of effective sales pattern
- Analytical view on demand-supply chaining
- Analysis of product development strategies
- A detailed description of the adoption of new methodologies
- Profiling of leading key players
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Based on service, the smart grid data analytics market is segmented into support and maintenance services and professional services, with the former segment occupying a major share in 2014. On the basis of the deployment model, the market is segmented into cloud-based, hybrid models, and on-premise. Of these, cloud-based smart grid data analytics leads the market. The dominance of the segment is attributed to the growing popularity of cloud-based solutions world over. The major end users of smart grid analytics solutions are large enterprises, small or medium enterprises, and the public sector. Of these, currently, the public sector segment holds the maximum revenue and is anticipated to dominate the market.
Collectively, this smart grid data analytics market research report offers complete and accurate guidelines for shaping the future of businesses. Likewise, this analytical study helps to make well-informed business decisions. Different leading companies have been profiled to get up-to-date data from successful companies. Additionally, it covers the sales strategies, growth strategies, and some standard operating procedures. The notable feature of this research report is, it includes feedback from different global clients and investors which helps to plan the new approaches for upcoming years.
Reasons for Buying this Report:
- This report provides pin-point analysis for changing competitive dynamics
- It provides a forward-looking perspective on different factors driving or restraining the market growth
- It provides a forecast assessed on the basis of how the market is predicted to grow
- It helps in understanding the key product segments and their future
- It provides pin point analysis of changing competition dynamics and keeps you ahead of competitors
- It helps in making informed business decisions by having complete insights of market and by making an in-depth analysis of market segments
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