Smart Grid Data AnalyticsSmart Meter, Grid Operations, Asset Management, and Renewable Energy Integration Data Analytics: Global Market Analysis and Forecasts
Smart Grid Data AnalyticsSmart Meter, Grid Operations, Asset Management, and Renewable Energy Integration Data Analytics: Global Market Analysis and Forecasts
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 vendors
Database technology providers
Smart grid data analytics vendors
Enterprise and pure play application providers
Consultants and systems integrators
Utilities
Government agencies
Investor community
Research Methodology
Pike Research's industry analysts utilize a variety of research sources in
preparing Research Reports. The key component of Pike Research's analysis is
primary research gained from phone and in-person interviews with industry
leaders including executives, engineers, and marketing professionals.
Analysts are diligent in ensuring that they speak with representatives from
every part of the value chain, including but not limited to technology
companies, utilities and other service providers, industry associations,
government agencies, and the investment community.
Additional analysis includes secondary research conducted by Pike Research's
analysts and its staff of research assistants. Where applicable, all
secondary research sources are appropriately cited within the Pike Research's
reports.
These primary and secondary research sources, combined with the analyst's
industry expertise, are synthesized into the qualitative and quantitative
analysis presented in Pike Research's reports. Great care is taken in making
sure that all analysis is well-supported by facts, but where the facts are
unknown and assumptions must be made, analysts document their assumptions and
are prepared to explain their methodology, both within the body of a report
and in direct conversations with clients.
Pike Research, a part of the Navigant Consulting global Energy Practice, is a
market research group whose goal is to present an objective, unbiased view of
market opportunities within its coverage areas. Pike Research is not beholden
to any special interests and is thus able to offer clear, actionable advice to
help clients succeed in the industry, unfettered by technology hype, political
agendas, or emotional factors that are inherent in cleantech markets.
About Pike Research
Pike Research, a part of Navigant Consulting's global Energy Practice, is a
market research and consulting team that provides in-depth analysis of global
clean technology markets. The team's research methodology combines supply-side
industry analysis, end-user primary research and demand assessment, and deep
examination of technology trends to provide a comprehensive view of these
industry sectors.
Table of Contents
Table of Contents
1. Executive Summary
1.1. Introduction to Smart Grid Data Analytics
1.2. The Optimized Utility
1.3. Technology Challenges
1.4. Smart Grid Data Analytics Market Forecast
2. Market Issues
2.1. Introduction and Background
2.2. The Definition of Smart Grid Data Analytics
2.3. The Smart Grid Data Analytics Capability Continuum
2.3.1. Meter Analytics
2.3.2. Grid Analytics
2.3.3. Asset Analytics
2.3.4. Renewables Integration
2.3.5. The Optimized Utility
2.4. Market Drivers
2.4.1. Data Deluge
2.4.2. Quality of Service
2.4.3. Increase in Demand
2.4.4. Carbon Reduction and Compliance
2.4.5. Customer Self-management
2.4.6. Middle-Market Prospects
2.4.7. Managed Services
2.5. Market Inhibitors
2.5.1. Variability in Standards for Communication and Data Management
2.5.2. Security and Data Privacy
2.5.3. Workforce Issues and Resource Shortages
2.5.4. Regulatory Issues
2.5.5. Lack of Data Integration
2.5.6. Data Quality and Integrity
2.6. Market Adoption of the Smart Grid
2.6.1. North America
2.6.1.1. United States
2.6.1.2. Canada
2.6.2. Latin America
2.6.3. Europe
2.6.3.1. Russia
2.6.4. Asia Pacific
2.6.4.1. Australia
2.6.4.2. China
2.6.4.3. India
2.6.4.4. Japan
2.6.5. Middle East and Africa
3. Technology Issues
3.1. Introduction
3.2. Data Sources for Smart Grid Data Analytics
3.2.1. Smart Meters
3.2.2. Sensors
3.2.3. Control Devices
3.2.4. Intelligent Electronic Devices
3.2.5. Distributed Generation
3.2.6. Historical Data
3.2.7. Third-party Data
3.3. Smart Grid Big Data
3.3.1. Data Integration
3.3.2. Data Classification and Database Management Models
3.3.3. In-memory Database Systems
3.3.4. Time-series Database Servers
3.3.5. Hadoop
3.3.6. Spatial Databases and Geographic Information Systems
3.4. Data Processing
3.4.1. Digital Signal Processing
3.4.2. Complex Event Processing
3.4.3. Data Mining
3.4.4. Online Analytical Processing
3.4.5. In-database Processing
3.5. Transformation and Action
3.5.1. Business Analytics
3.5.2. Grid Analytics
3.5.3. Customer Analytics
4. Key Industry Players
4.1. Introduction
4.2. Winning in the Market
4.2.1. Accenture
4.2.2. Aclara (ESCO Technologies)
4.2.3. AT&T
4.2.4. AutoGrid
4.2.5. C3 Energy
4.2.6. Calico Energy
4.2.7. Capgemini
4.2.8. CSC
4.2.9. DataRaker
4.2.10. DNV KEMA
4.2.11. EcoFactor
4.2.12. Ecologic Analytics
4.2.13. ElectSolve
4.2.14. eMeter (Siemens)
4.2.15. Ferranti Computer Systems
4.2.16. GridGlo
4.2.17. Gridium
4.2.18. IBM
4.2.19. Itron
4.2.20. Martin Dawes
4.2.21. Microsoft
4.2.22. NorthStar Utilities
4.2.23. Opower
4.2.24. Oracle
4.2.25. OSIsoft
4.2.26. PricewaterhouseCoopers (PwC)
4.2.27. SAIC
4.2.28. SAP
4.2.29. SAS
4.2.30. Sensus
4.2.31. Silver Spring Networks
4.2.32. Space-Time Insight
4.2.33. Telvent (Schneider Electric)
4.2.34. Tendril
4.2.35. Teradata
4.2.36. Ventyx (ABB)
4.2.37. Verizon
5. Market Forecasts
5.1. Forecast Introduction
5.2. The Utility Environment
5.3. Assumptions Determining this Forecast
5.3.1. Worldwide Smart Meter Installed Base by Region
5.3.2. Smart Grid Networking and Communications
5.3.3. Smart Grid Asset Management and Condition Monitoring
5.3.4. Smart Grid Renewables Integration
5.4. Worldwide Smart Grid Data Analytics by Region
5.5. Smart Grid Data Analytics Spending by Solution
5.5.1. Smart Meter Analytics Spending
5.5.2. Grid Analytics Spending
5.5.3. Asset Analytics Spending
5.5.4. Renewables Integration Analytics Spending
5.6. Smart Grid Data Analytics Software and Services Spending
5.6.1. Smart Grid Data Analytics Services Segment
5.6.2. Smart Grid Data Analytics Services Spending by Service Segment
5.6.2.1. Implementation
5.6.2.2. Training and Maintenance
5.6.3. 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 Grid Data Analytics Spending by Region, World Markets: 2012-2020
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
EIA Reports Growing Demand Worldwide between 1990 and 2035
Smart Grid Data Analytics Information Flow from Data Source to User
List of Tables
Definition of Data Analytics
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
Smart Grid Data AnalyticsSmart Meter, Grid Operations, Asset Management, and Renewable Energy Integration Data Analytics: Global Market Analysis and Forecasts published by Navigant Research (formerly Pike Research) in September 6, 2012. This report consists of 105 Pages and the price starts from US $ 3900.
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Press Release
Smart Grid Data Analytics Spending to Total More than $34 Billion through 2020
September 19th, 2012
Global Information Inc. would like to present a new market research report, "Smart Grid Data AnalyticsSmart Meter, Grid Operations, Asset Management, and Renewable Energy Integration Data Analytics: Global Market Analysis and Forecasts" by Navigant Research (formerly Pike Research).
The smart grid transformation is resulting in an enormous volume of data a data deluge flowing into utilities at a high rate. The volume of data is expected to grow by several orders of magnitude over time. Utilities must 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. According to a new report from Pike Research, a part of Navigants Energy Practice, 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.
"Smart grids cannot be considered smart without the actionable intelligence to correct deficiencies and introduce efficiencies throughout the power delivery system, from transmission, substation and distribution systems, to the customer side of the meter," says research director Carol Stimmel. "The demand for market analytics will only grow stronger as utilities upgrade their systems, and both seasoned providers and new entrants are vying to deliver on the promise of a smarter grid."
The bulk of this spending will occur in Asia Pacific, where annual investment will surpass $2.5 billion by 2020, the report finds. This is driven by Chinas aggressive deployment of smart meters and its related infrastructure, though at this point it is unclear which drivers will be most important to that country in deploying analytic solutions. As those drivers become more understood, it is possible that opportunities in Asia could grow at an even faster rate than currently anticipated.
The report, "Smart Grid Data Analytics", 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 forecasts, segmented by application and region, extend through 2020.
