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

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
Smart grid data analytics are solutions used to analyze the large amount of data generated from the smart
grid systems. These solutions are deployed with an intention to gain better predictive analysis of consumer
behavior and grid conditions, thereby optimizing grid efficiency. Smart grid analytics solutions are de-
ployed at the grid owners’ end in order to establish a better decision support system. The solutions are
developed to analyze the data generated from different smart grid components, such as smart meters, smart
appliances, automated distribution systems, and other sensing equipment. The data collected is transferred
using two-communication network of the grid for further predictive analysis.
The most significant factor fuelling the growth of the smart grid data analytics market is the rising levels
of investment over smart grid systems. Due to ever-increasing demand for electricity, utility providers are
increasingly seeking reliable solutions to optimize their grid efficiency. This is expected to create a sub-
stantial shift toward smart grid systems in the coming years. Thus, with the increasing adoption of smart
grids, the demand for data analytics solutions is expected to soar substantially during the forecast period.
This is due to the fact that the smart grid analytics market growth largely depends upon the penetration of
smart grid systems. Another significant factor boosting the smart grid analytics market’s growth is the
rising advancements in Big Data analytics and Internet-of-Things (IoT). Smart grid data analytics solutions
are referred to as among the most significant applications of Big Data analytics and IoT. Thus, with the
increasing penetration and advancements of these solutions, the market for smart grid analytics is predicted
to witness strong growth in the coming years.
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The global smart grid data analytics market is also driven by the rising penetration of smart meters world-
wide. Countries such as Australia, the U.S., China, Japan, and the U.K. have already launched smart meter
deployment programs. This is expected to strongly support the demand for AMI analytics solutions in the
coming years. Despite the numerous advantages of smart grid systems and related data analytics solutions,
the market for these solutions is significantly hampered by the high costs of smart grid systems. The market
revenue for smart grid systems is contributed by a few countries that have made substantial investments
on smart grid systems. Apart from this, the market is also hampered due to lack of awareness, interopera-
bility, and reluctance of utility providers to change the existing infrastructure.

2. The global smart grid data analytics market is segmented based on the type of solutions into AMI analytics
solutions, demand response analytics, grid optimization, asset management, and other analytics solutions.
The other analytics solutions segment comprises energy forecasting and data visualization tools. In 2014,
asset management solutions accounted for the largest share, in terms of revenue, in the global market.
However, with the rising penetration of smart meters globally, the AMI analytics solutions segment is
predicted to witness the highest growth during the forecast period. On the basis of services, the market is
segmented into professional and support & maintenance services. According to the mode of deployment,
the market is segmented into on-premise, cloud-based, and hybrid models. As of 2014, the cloud-based
deployment model dominated the global market with the largest market share, in terms of revenue. Fur-
thermore, on the basis of end-users, the market for smart grid data analytics solutions is segmented into
small/medium enterprises, large enterprises, and the public sector.
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In 2014, North America accounted for the largest share of over 33%, in terms of revenue, of the global
smart grid data analytics market. This is due to the strong penetration of smart grid systems in the U.S.,
coupled with high investment in the smart grid systems. However, due to increasing investment on smart

3. grid systems from countries such as Australia, China, South Korea, and Japan, Asia Pacific is estimated to
register the highest growth in the smart grid data analytics market in the coming years.
The major companies operating in the smart grid data analytics market include Accenture Plc., Siemens
AG, IBM Corporation, SAP SE, SAS Institute, Inc., Oracle Corporation, EMC Corporation, Opower, Inc.,
Cap Gemini SA, and Hewlett-Packard (HP) Development Company L.P. The market for smart grid data
analytics is highly fragmented in nature with a large number of IT giants with global presence. Apart from
this, the emergence of a large number of start-up companies in utility data analytics makes the market
highly competitive.
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