-- 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%.
A complete analysis of the Global Smart Grid Data Analytics Market is been done in this intelligence report. It includes the investigations done of the past progress, present ongoing market scenarios and future prospects. In this particular market report an accurate data of the products, strategies and market shares of leading companies are mentioned clearly.
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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 regions which have been studied in depth are North America, Europe, Asia-Pacific, Middle East & Africa and Latin America. This helps gain a better idea about the spread of this particular market in respective regions. A list of leading key players has been given prime value to ensure their strategies are understood in this Smart Grid Data Analytics market.
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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Objective Study of Smart Grid Data Analytics Market:
• To provide detailed analysis of the market structure along with forecast of the various segments and sub-segments of the global Smart Grid Data Analytics market.
• To provide insights about factors affecting the market growth.
• To analyze the global Smart Grid Data Analytics market-based porter's five force analysis, etc.
• To provide historical and forecast revenue of the market segments and sub-segments with respect to four main geographies and their countries- North America, Europe, Asia, and Rest of the World (ROW).
• To provide strategic profiling of key players in the market, comprehensively analyzing their core competencies, and drawing a competitive landscape for 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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Release ID: 352775
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