Smart Grid Data Analytics for Grid Optimization

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Aug 13, 2013, 01:31 ET

NEW YORK, Aug. 13, 2013 /PRNewswire/ -- Reportlinker.com announces that a new market research report is available in its catalogue:

Smart Grid Data Analytics for Grid Optimization
http://www.reportlinker.com/p01595234/Smart-Grid-Data-Analytics-for-Grid-Optimization.html#utm_source=prnewswire&utm_medium=pr&utm_campaign=Energy_technology

Smart Grid Data Analytics for Grid Optimization

As utilities continue the worldwide deployment of smart grid technologies, many are turning to data analytics to fully leverage the capabilities of grid enhancements. Data analytics using real-time and/or historical data from smart meters, grid sensing devices, and asset monitoring data can improve the return on smart grid investments by enabling grid operators to optimize transmission and distribution (T&D) networks and asset performance – including outage and restoration management, transformer load and asset health monitoring, load balancing, and integration of renewable energy.

However, technical challenges with the volume, variety, and quality of data being generated, as well as organizational challenges, must be addressed before operators can rely on analytics to guide decision-making. Many utilities are taking a cautious approach, adopting data analytics technology on an application-by-application basis. To date, smart meter installations have been the primary driver for data analytics, but accelerating deployments of distribution automation and network management technologies will provide further opportunities for grid optimization analytics. Navigant Research forecasts that worldwide spending on grid optimization analytics solutions will grow from $706 million in 2012 to $4.3 billion in 2020.

This Navigant Research report analyzes the global market opportunity for data analytics for grid optimization. The report provides an assessment of the drivers, barriers, technology issues, and use cases associated with the developing market.Key industry players are profiled, and forecasts for worldwide spending on grid optimization analytics, segmented by region, extend through 2020.

Key Questions Addressed:

What are the drivers shaping the market for data analytics providers targeting grid optimization?
What are the barriers to adoption of analytics for grid optimization?
What use cases can be served by data analytics for grid optimization?
How are vendors shifting their approach to this sector?
How do the demand drivers for grid optimization analytics vary across the globe?
Who are the key players offering grid optimization analytics?
What is the market opportunity for vendors of data analytics solutions for grid optimization?

Who needs this report?

Smart grid hardware vendors
Database technology providers
Smart grid data analytics vendors
Meter data management system providers
Energy management platform providers
Utilities
Investor community

Table of Contents

1. Executive Summary
2. Market Update
2.1 Introduction
2.2 Drivers and Inhibitors
2.2.1 Market Drivers
2.2.2 Market Inhibitors
2.3 Technology and Solutions
2.3.1 Technology Issues
2.3.2 Use Cases
2.4 Key Players
2.4.1 CURRENT Group (Ormazabal)
2.4.2 GE Digital Energy
2.4.3 IBM
2.4.4 Landis+Gyr
2.4.5 Schneider Electric
2.4.6 Silver Spring Networks
2.4.7 Space-Time Insight
2.4.8 Tollgrade
2.4.9 Verdeeco
2.5 Global Trends
2.5.1 North America
2.5.2 Europe
2.5.3 Asia Pacific
2.5.4 Latin America
2.5.5 Middle East & Africa
2.6 Market Forecast
3. Conclusions and Recommendations
3.1 Recommendations for Utilities
3.2 Recommendations for Vendors

List of Charts and Figures

Smart Grid Technology Revenue by Application, World Markets: 2012-2020
Grid Optimization Analytics Capability Continuum
Smart Grid IT Software Revenue by Application, World Markets: 2012-2020
Grid Optimization Analytics Spending by Region, World Markets: 2012-2020