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Smart Grid data Analytics Market - Global Industry Analysis, Size, Share, Growth, Trends and Forecast 2015 - 2022NEW YORK, April 12, 2016 /PRNewswire/ -- Smart grid data analytics are data analytics solutions used to analyze data generated from the smart grid network. These solutions can also be defined as a subset of Big Data analytics solutions used specifically for energy & utilities. The main purpose behind using data analytics solutions for the energy & utilities sector is to enable utility providers to optimize their efficiency and minimize losses occurring in electricity generation and distribution. The data is generated from different intelligent components such as smart meters, automated distribution systems, and sensing & measurement devices; this is then transmitted to the utility station for further predictive analysis. Through such predictive analysis, utility providers seek to cater to the ever-increasing demand for electricity more efficiently and with optimum return on investment (ROI). Geographically, the global market for smart grid data analytics has been segmented into five regions: North America, Europe, Asia Pacific, Middle East and Africa (MEA), and Latin America. The market size and forecast for each region has been provided for the period 2013 to 2022 along with the CAGR (%) for the forecast period from 2015 to 2022. The study also includes qualitative analysis of the competitive scenario for major countries/regions in these geographical segments. The market overview section of this report comprises qualitative analysis of the overall market, highlighting the factors determining market dynamics such as drivers, restraints, and opportunities, along with the key trends analysis. The section also includes ecosystem analysis, wherein the role of smart grid equipment providers and smart grid analytics solutions vendors has been discussed. The report also provides a section on the competitive landscape, wherein the market positioning analysis of the leading players in the smart grid data analytics market in 2014 has been discussed. Strategies adopted by the leading players in the market have also been included under the competitive landscape section. The report concludes with the profiles of major players in the global smart grid data analytics market such as Accenture Plc., IBM Corporation, Siemens AG, SAS Institute, Inc., SAP SE, Oracle Corporation, Opower, Inc., EMC Corporation, Cap Gemini SA, and Hewlett-Packard Development Company, L.P. Global Smart Grid Data Analytics Market Segmentation: Smart Grid Data Analytics Market, by Solution Type AMI Analytics Demand Response Analytics Grid Optimization Asset Management Others (Energy Forecasting and Data Visualization Tools) Smart Grid Data Analytics Market, by Service Professional Services Support & Maintenance Services Smart Grid Data Analytics Market, by Deployment Model On-premise Cloud-based Hybrid Smart Grid Data Analytics Market, by End-user Small/Medium Enterprises Large Enterprises Public Sector Smart Grid Data Analytics Market, by Geography North America Europe Asia Pacific Middle East and Africa (MEA) Latin America BSS Solutions (for Utilities) Market, by Solution Type Specialized Solutions (for Back-end) CRM Billing Customer Care Business Intelligence Others Generalized Solutions (for Front-end) CRM Billing Customer Care Business Intelligence Others BSS Solutions (for Utilities) Market, by Geography North America Europe Asia Pacific Middle East and Africa (MEA) Latin America Read the full report: http://www.reportlinker.com/p03516814-summary/view-report.html About Reportlinker ReportLinker is an award-winning market research solution. Reportlinker finds and organizes the latest industry data so you get all the market research you need - instantly, in one place. http://www.reportlinker.com __________________________ Contact Clare: [email protected] US: (339)-368-6001 To view the original version on PR Newswire, visit:http://www.prnewswire.com/news-releases/smart-grid-data-analytics-market---global-industry-analysis-size-share-growth-trends-and-forecast-2015---2022-300249304.html SOURCE Reportlinker |