Recent research and Forecast On "Smart Grid Data Analytics Market - Global Industry Analysis, Size, Share, Growth, Trends And Forecast 2015 – 2022"

1. Smart Grid Data Analytics (AMI Analytics, Demand Response, Grid
Optimization, Asset Management And Others) Market - Global Industry
Analysis, Size, Share, Growth, Trends And Forecast 2015 - 2022
The report analyzes and presents an overview on "Smart Grid Data Analytics (AMI
Analytics, Demand Response, Grid Optimization, Asset Management And Others)
Market - Global Industry Analysis, Size, Share, Growth, Trends And Forecast 2015 - 2022"
worldwide.

2. 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).
The market for smart grid data analytics is segmented based on the type of data analytics
solutions, service type, deployment models, and the end-users. On the basis of data
analytics solutions, the market is segmented into advanced metering infrastructure (AMI)
analytics solutions, demand response solutions, grid optimization solutions, asset
management solutions, and others. The others segment includes energy forecasting

3. solutions and data visualization tools. The services provided by the utilities provides
include professional services (consulting) and support & maintenance services. The
market is segmented based on the type of deployment models into on-premise, cloud-
based, and hybrid deployment models. Based on the end-users, the market for smart grid
data analytics is segmented into small & medium enterprises (utility/grid owners), large
enterprises (utility/grid owners), and public sector entities (utility/grid owners).
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This report studies the current scenario as well as the future market potential for smart
grid data analytics globally. Apart from the smart grid data analytics segment, additional
market information for BSS solutions used specifically for utility providers has also been
included in the report. The market for these smart grid data analytics and BSS solutions
has been extensively analyzed on the basis of factors such as types of solutions, adoption,
and activities (such as investment) in the smart grid industry and the various geographic
regions across which the market is spread. The market size and forecasts in terms of

4. revenue (US$ Mn) for each of the segments has been provided for the period from 2013 to
2022, considering 2014 as the base year. The report also provides the compounded annual
growth rate (CAGR) for each segment of the market for the forecast period from 2015 to
2022.
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.

5. 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.
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Global Smart Grid Data Analytics Market Segmentation:
Smart Grid Data Analytics Market, by Solution Type
AMI Analytics
Demand Response Analytics

6. 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

7. 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

8. 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
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