Smart Grid Data Analytics Market, has been prepared based on an in-depth market analysis with inputs from industry experts. The report covers the market landscape and its growth prospects over the coming years. The report also includes a discussion of the key vendors operating in this market.
Houston, TX -- (SBWIRE) -- 06/01/2018 -- 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 unmistakable comprehension of the subject matter. The research report tries to comprehend the ground-breaking strategies taken by merchants in the worldwide market to offer product separation through Porter's five forces analysis. It likewise calls attention to the courses in which these organizations can reinforce their stand in the market and increase their incomes in the coming years.
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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.
Major Manufacturers are analyzed based on attributes such as their product profile, product introductions, SWOT analysis, and contact information. Each of the key players in the market is revealed in terms of their basic company data, key competitors, and presence of manufacturing bases. These players are also described according to their offerings in product types and technologies, the production costs, revenue generated, and overall price of these solutions.
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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Further, the study offers an analysis of the current performance of the key regional markets, namely North America, Europe, Asia-Pacific (APAC), Middle East & Africa and Latin America. The analysis is based on the manufacturing volume, production capacity, pricing strategy, the dynamics of demand, supply, and sales, return on investments (RoI), and the growth rate of the global Smart Grid Data Analytics market in each of the regions.
A SWOT analysis of the upcoming projects being undertaken in the Global Smart Grid Data Analytics Market identifies and evaluates the weaknesses, strengths, threats, and opportunities of the new projects, in addition to an assessment of their investment returns, investment feasibility, and development trends.
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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