Research N Reports Report Added “Energy Utility Analytics Market Industry Analysis, Size, Share, Growth, Trends and Forecast 2018 – 2023" to its database.

Houston, TX -- (SBWire) -- 03/15/2018 --Global Energy Utility Analytics Market Size, Status and Forecast 2022 advantageous opportunities in the energy sector, utility and energy companies are transforming their systems into smarter energy systems, which would feature a new-way flow of information in energy and utility sectors. Energy utility analytics enables near real-time analysis of processes, thereby helping in optimization of operations through efficient identification and isolation of inefficiencies and failures. The energy utility analytics market has the following perspectives: vendor performance & risk management, demand forecasting, spend analytics, inventory optimization, logistics & routing analytics, and predictive analytics. Business analytics coupled with data mining, self-service, predictive analytics, and aggregation tools is employed to get more transparent information for critical decision-making and implementing the decision support system. This transforms mobility and supporting communication technologies into high-investment priority areas for utilities. Virtually all new technology projects in energy utility would require a combination of IT (Information Technology), OT (Operational Technology),

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Energy Utility Analytics Market is estimated to grow from USD +1 Billion in 2016 to USD +3 Billion by 2021, at a Compound Annual Growth Rate (CAGR) of +13 %.This statistical surveying study offers an unbiased analysis of the worldwide market for Energy Utility Analytics, taking a number of important market parameters, such as production capacity and volume, product pricing, demand and supply, sales volume, revenue generated, and the growth rate of this market is expanding into consideration. An in-depth assessment of the competitive landscape of this market has also been presented in this research study, which profiles the key participants in this market to determine their future prospects in order to identify the existing market hierarchy.

Some of the key players: IBM, Schneider, SAP SE , Eaton, Capgemini, Cisco, Siemens, Ericsson, Infosys, Intel, Wipro, Oracle , TIBCO

In the last sections of the report, the companies responsible for increasing the sales in the Energy Utility Analytics market has been presented. These companies have been analyzed in terms of their manufacturing base, basic information, and competitors. In addition

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The introductory part of this research report discusses the market landscape in terms of market size and future market forecasts of the key national markets, which are North America, Europe, Asia-Pacific, Latin America, and the Middle East & African countries. The report analyzes and examines each of the aforementioned regional markets in terms of market size, demand drivers, restraints, ongoing trends, and competitive scenario.

The vendor landscape covered in this research study offers a comprehensive overview of the latest developments and investment pattern in the Global Energy Utility Analytics Market. Under investments, the report provides a brief overview of the major mergers and acquisitions in the big data security market. This market research report identifies key players in the market and provides a comprehensive analysis of their key company facts, business overview, segmentation, SWOT analysis, business strategies, and key information.

Table of Content:

Chapter 1 Energy Utility 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