The report offers a complete study of the global market by analyzing the driving forces, development trends, restraints, and opportunities in details.

HOUSTON, TEXAS, UNITED STATES, May 31, 2018 /EINPresswire.com/ -- Smart grid data analytics are software solutions that are designed to analyze the data generated from a network of smart grid. These can be referred to as a subset of Big Data analytics solutions designed for the energy & utilities sector. These solutions are developed to help utility providers address issues related to the grid operations and financial management more rapidly and effectively. The primary function of smart grid data analytics solutions is to analyze the huge volumes of data generated from various components including smart meters, automated distribution systems, smart appliances and other sensing equipment in the network.

The Smart Grid Data Analytics market estimate is anticipated to develop at a Compound Annual Growth Rate (CAGR) of +25%.

Global Smart Grid Data Analytics Market offers an in-depth and wide-ranging overview of this market to all users looking to expand their business profiles in any aspect. The report establishes a solid foundation for all users looking to enter the global market in terms of market inclinations, opportunities, hindrances, and competitive landscape analysis.

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Companies Profiled in this report includes, SAS, Itron, AutoGrid, Sensus, Silver Spring Networks, IBM, Infosys, Microsoft, SAP, Verizon, Accenture, EMC Corporation.

The foremost players of the Smart grid analytics market are identified across regions, and their offerings, distribution channels, and regional presence are understood through in-depth discussions. Also, average revenue generated by these companies, segmented on the basis of region, is used to arrive at the overall market size. This overall market size is used in the top-down procedure to estimate the sizes of other individual markets through percentage splits from secondary sources directories, databases, and primary research.

The Smart grid analytics market is broadly segmented by type of its solution: AMI analytics, demand response analytics/ advanced analytics for Demand Response Management System (DRMS), asset analytics, analytics for grid optimization, energy data forecasting/ load forecasting, and visualization tools; by type of service: professional service, and support and maintenance service; by type of deployment model: on-premise, and on-demand (cloud-based).

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The geographical segmentation of the Global Smart Grid Data Analytics Market can help regional players ascertain their success rate in their regions. It can also provide globally prominent players a key to their expansion plans by generating focus on favorable regions. The key regions focused on within the report include North America, Europe, Middle East & Africa, Asia-Pacific and Latin America.

Moreover, aspects that affect the growth of the market, have been cleared out in the best possible manner to understand precisely this market. Each year in the forecast period is examined for better precise data with respect to every aspect affecting the market. This report is done on the competitive landscape of the global Smart Grid Data Analytics market has been given, presenting insights into the recent developments, mergers & acquisitions, company profiles, financial status, and the SWOT analysis.

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Significant Highlights of the Report:
• A pure assessment of the orbit of the market
• Studies on the evolving Global Smart Grid Data Analytics market segments regions
• Market shares and strategies of leading players that are involved in the market
• Market segmentation up to the last level
• A point-to-point assessment of the market development
• Historical, present, and future size of the market from the perspective of both value and volume
• Suggestions to the companies to establish their foothold in the market

Table of Contents
Global Smart Grid Data Analytics Market Research Report
Chapter 1 Smart Grid Data Analytics Market Overview
Chapter 2 Global Economic Impact on Industry
Chapter 3 Global Market Competition by Manufacturers
Chapter 4 Global Production, Revenue (Value) by Region
Chapter 5 Global Supply (Production), Consumption, Export, Import by Regions
Chapter 6 Global Production, Revenue (Value), Price Trend by Type
Chapter 7 Global Market Analysis by Application
Chapter 8 Manufacturing Cost Analysis
Chapter 9 Industrial Chain, Sourcing Strategy and Downstream Buyers
Chapter 10 Marketing Strategy Analysis, Distributors/Traders
Chapter 11 Market Effect Factors Analysis
Chapter 12 Global Smart Grid Data Analytics Market Forecast

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