NEW YORK, Sept. 11, 2012 /PRNewswire/ -- Reportlinker.com announces that a new market research report is available in its catalogue:
http://www.reportlinker.com/p0346136/Smart-Grid-Data-Analytics.html#utm_source=prnewswire&utm_medium=pr&utm_campaign=Energy_technology
Utilities around the world are in the early stages of a transformation that will continue into the next decade. They are evaluating, planning, and implementing smart grid technologies and associated enterprise processes to modernize their operational and information systems by deploying advanced metering infrastructure (AMI) and other electronic communications technologies that enable the utility to monitor, analyze, and synchronize their networks to improve reliability, availability, and efficiency.These functions result in an enormous volume of data – a data deluge – flowing into the utility at a high rate that must be analyzed and acted upon. The volume of data is expected to grow by several orders of magnitude over time. Utilities will have to solve data collection and storage challenges and learn how to analyze and act on new forms of information before they even get to the point of realizing real returns on their smart grid investments. Overall, the worldwide market for smart grid data analytics is expected to grow steadily through 2020, with cumulative worldwide spending from 2012 through 2020 totaling just over $34 billion. The bulk of this spending will occur in Asia Pacific, where annual investment will surpass $2.5 billion by 2020.This Pike Research report analyzes the global market opportunity for smart grid data analytics across four key solution segments: meter analytics, grid analytics, asset analytics, and renewables integration for business intelligence, operations, and customer management. The report provides a comprehensive assessment of the demand drivers, business models, policy factors, and technology issues associated with the rapidly-developing market for smart grid data analytics. Key industry players are profiled in depth and worldwide revenue and capacity forecasts, segmented by application and region, extend through 2020.
Key Questions Addressed:
What are the key challenges for utilities that have made AMI and smart grid investments and are searching for ways to derive a return on their investment?What are the dependencies within the utility enterprise that must be recognized before moving forward on a smart grid data analytics strategy?What are the most promising technologies for smart grid data analytics?How can smart grid data be transformed to be most useful to the utility seeking rapid response capabilities and insight?How are customers driving the need for smart grid data analytics solutions?Which regions will see the highest investment in smart grid data analytics?
Who needs this report?
Smart grid hardware vendorsDatabase technology providersSmart grid data analytics vendorsEnterprise and pure play application providersConsultants and systems integratorsUtilitiesGovernment agenciesInvestor community
Table of Contents 1. Executive Summary1.1 Introduction to Smart Grid Data Analytics1.2 The Optimized Utility1.3 Technology Challenges1.4 Smart Grid Data Analytics Market Forecast
2. Market Issues
2.1 Introduction and Background2.2 The Definition of Smart Grid Data Analytics2.3 The Smart Grid Data Analytics Capability Continuum2.3.1 Meter Analytics2.3.2 Grid Analytics2.3.3 Asset Analytics2.3.4 Renewables Integration2.3.5 The Optimized Utility2.4 Market Drivers2.4.1 Data Deluge2.4.2 Quality of Service2.4.3 Increase in Demand2.4.4 Carbon Reduction and Compliance2.4.5 Customer Self-management2.4.6 Middle-Market Prospects2.4.7 Managed Services2.5 Market Inhibitors2.5.1 Variability in Standards for Communication and Data Management2.5.2 Security and Data Privacy2.5.3 Workforce Issues and Resource Shortages2.5.4 Regulatory Issues2.5.5 Lack of Data Integration2.5.6 Data Quality and Integrity2.6 Market Adoption of the Smart Grid2.6.1 North America2.6.1.1 United States2.6.1.2 Canada2.6.2 Latin America2.6.3 Europe2.6.3.1 Russia2.6.4 Asia Pacific2.6.4.1 Australia2.6.4.2 China2.6.4.3 India2.6.4.4 Japan2.6.5 Middle East and Africa
3. Technology Issues
3.1 Introduction3.2 Data Sources for Smart Grid Data Analytics3.2.1 Smart Meters3.2.2 Sensors3.2.3 Control Devices3.2.4 Intelligent Electronic Devices3.2.5 Distributed Generation3.2.6 Historical Data3.2.7 Third-party Data3.3 Smart Grid Big Data3.3.1 Data Integration3.3.2 Data Classification and Database Management Models3.3.3 In-memory Database Systems3.3.4 Time-series Database Servers3.3.5 Hadoop3.3.6 Spatial Databases and Geographic Information Systems3.4 Data Processing3.4.1 Digital Signal Processing3.4.2 Complex Event Processing3.4.3 Data Mining3.4.4 Online Analytical Processing3.4.5 In-database Processing3.5 Transformation and Action3.5.1 Business Analytics3.5.2 Grid Analytics3.5.3 Customer Analytics
4. Key Industry Players
4.1 Introduction4.2 Winning in the Market4.2.1 Accenture4.2.2 Aclara (ESCO Technologies)4.2.3 AT&T4.2.4 AutoGrid4.2.5 C3 Energy4.2.6 Calico Energy4.2.7 Capgemini4.2.8 CSC4.2.9 DataRaker4.2.10 DNV KEMA4.2.11 EcoFactor4.2.12 Ecologic Analytics4.2.13 ElectSolve4.2.14 eMeter (Siemens)4.2.15 Ferranti Computer Systems4.2.16 GridGlo4.2.17 Gridium4.2.18 IBM4.2.19 Itron4.2.20 Martin Dawes4.2.21 Microsoft4.2.22 NorthStar Utilities4.2.23 Opower4.2.24 Oracle4.2.25 OSIsoft4.2.26 PricewaterhouseCoopers (PwC)4.2.27 SAIC4.2.28 SAP4.2.29 SAS4.2.30 Sensus4.2.31 Silver Spring Networks4.2.32 Space-Time Insight4.2.33 Telvent (Schneider Electric)4.2.34 Tendril4.2.35 Teradata4.2.36 Ventyx (ABB)4.2.37 Verizon
5. Market Forecasts
5.1 Forecast Introduction5.2 The Utility Environment5.3 Assumptions Determining this Forecast5.3.1 Worldwide Smart Meter Installed Base by Region5.3.2 Smart Grid Networking and Communications5.3.3 Smart Grid Asset Management and Condition Monitoring5.3.4 Smart Grid Renewables Integration5.4 Worldwide Smart Grid Data Analytics by Region5.5 Smart Grid Data Analytics Spending by Solution5.5.1 Smart Meter Analytics Spending5.5.2 Grid Analytics Spending5.5.3 Asset Analytics Spending5.5.4 Renewables Integration Analytics Spending5.6 Smart Grid Data Analytics Software and Services Spending5.6.1 Smart Grid Data Analytics Services Segment5.6.2 Smart Grid Data Analytics Services Spending by Service Segment5.6.2.1 Implementation5.6.2.2 Training and Maintenance5.6.3 Smart Grid Data Analytics Software Spending
6. Company Directory
7. Acronym and Abbreviation List
8. Table of Contents
9. Table of Charts and Figures
10. Scope of Study, Sources and Methodology, Notes
List of Charts and Figures• Smart Meter Penetration Rate of All Electrical Meters by Region, World Markets: 2010-2020
• Smart Meter Installed Base by Region, World Markets: 2010-2020
• Communications Node Revenue by Region, World Markets: 2011-2020
• Smart Grid Renewables Integration Revenue by Region, World Markets: 2012-2018
• Smart Grid Data Analytics Spending Share by Region, World Markets: 2012-2020
• Smart Grid Data Analytics Spending Share by Region, World Markets: 2012 and 2020
• Smart Grid Data Analytics by Solution, World Markets: 2012-2020
• Smart Grid Data Analytics Spending for Smart Meter Data Solutions by Region, World Markets: 2012-2020
• Smart Grid Data Analytics Spending for Grid Data Solutions by Region, World Markets: 2012-2020
• Smart Grid Data Analytics Spending for Asset Data Analytics Solutions by Region, World Markets: 2012-2020
• Smart Grid Data Analytics Spending for Renewables Integration Solutions by Region, World Markets: 2012-2020
• Smart Grid Data Analytics Software and Services Spending, World Markets: 2012-2020
• Smart Grid Data Analytics Services Spending by Region, World Markets: 2012-2020
• Smart Grid Data Analytics Services Segment Growth by Segment, World Markets: 2012-2020
• Smart Grid Data Analytics Spending for Implementation Services by Region, World Markets: 2012-2020
• Smart Grid Data Analytics Spending for Training Services by Region, World Markets: 2012-2020
• Smart Grid Data Analytics Spending for Maintenance Services by Region, World Markets: 2012-2020
• Smart Grid Data Analytics Software Spending by Region, World Markets: 2012-2020
• Smart Grid Data Analytics Software and Services Spending Growth Rates, World Markets: 2012-2020
• Smart Grid Data Analytics Capability Continuum
• Asset Utilization Analytics Visualization Showing Load Growth
• EIA Reports Growing Demand Worldwide between 1990 and 2035
• Smart Grid Data Analytics Information Flow from Data Source to User
List of Tables• Smart Meter Installed Base, World Markets: 2012-2020
• Smart Grid Data Analytics Spending by Region, World Markets: 2012-2020
• Smart Grid Data Analytics Spending Share by Region, World Markets: 2012-2020
• Smart Grid Data Analytics Spending by Solution, World Markets: 2012-2020
• Smart Grid Data Analytics Software and Services Spending Growth Rates, World Markets: 2012-2020
• Smart Grid Data Analytics Software and Service Spending, World Markets: 2012-2020
• Smart Grid Data Analytics Services Spending by Region, World Markets: 2012-2020
• Smart Grid Data Analytics Spending, Implementation Services Segment by Region, World Markets: 2012-2020
• Smart Grid Data Analytics Software Spending by Region, World Markets: 2012-2020
• Smart Grid Data Analytics Spending, Meter Data Analytics Solutions by Region, World Markets: 2012-2020
• Smart Grid Data Analytics Spending, Grid Data Analytics Solutions by Region, World Markets: 2012-2020
• Smart Grid Data Analytics Spending, Asset Data Analytics Solutions by Region, World Markets: 2012-2020
• Smart Grid Data Analytics Spending, Renewables Integration Solutions by Region, World Markets: 2012-2020
• Smart Grid Data Analytics Services Growth Rates by Segment, World Markets: 2012-2020
• Smart Grid Data Analytics Spending, Implementation Services Segment by Region, World Markets: 2012-2020
• Smart Grid Data Analytics Spending, Training Services Segment by Region, World Markets: 2012-2020
• Smart Grid Data Analytics Spending, Maintenance Services Segment by Region, World Markets: 2012-2020
To order this report:Energy_technology Industry: Smart Grid Data AnalyticsContact
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