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Smart Grid Data Analytics Market By Service (Professional Services, Support & Maintenance Services), By Solution (Advanced Metering Infrastructure (AMI) Analytics, Demand Response, Asset Management Solutions, Grid Optimization Solutions), By Deployment Model (On-Premise, Cloud-Based, Managed), By End-User (Small & Medium Utility Providers, Large Utility Providers, Public Sector) – Growth, Share, Opportunities & Competitive Analysis, 2015 – 2022

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Published: | Report ID: 10202 | Report Format : PDF

Overview

Smart grids are expected to gain large traction in the coming years. This is mainly attributed to the ever-rising consumption of electricity worldwide. Nevertheless, smart grid installation is accompanied by huge volumes of data generated from the smart grid network, which needs to be analyzed effectively. Smart grids generate large volumes of data which can be used to analyze different parameters such as consumer behavior, operation of grid components, and overall network health. As a result, utility providers are increasingly shifting towards installing intelligent grid systems and related solutions. Many countries worldwide are increasingly investing in smart grid projects to address the rising demand for electricity along with the challenges in its generation.

Smart grid data analytics are software solutions designed to analyze the data generated from a network of smart grids. These can be referred to as a subset of Big Data analytics solutions designed for the energy & utility sector. These solutions are developed to help utility providers address issues related to grid operations and financial management more rapidly and effectively. The primary function of smart grid data analytics solutions is to analyze the huge volumes of data generated from various components, including smart meters, automated distribution systems, smart appliances, and other sensing equipment in the network.

The report titled “Global Smart Grid Data Analytics Market- Growth, Share, Opportunities and Competitive Analysis, 2015 – 2022” offers strategic insights into the global smart grid data analytics industry along with the market size and estimates for the duration of 2013 to 2022. The said research study covers an in-depth analysis of multiple market segments based on service, solution types, deployment models, end-users, and cross-sectional study across different geographies. The study covers the comparative analysis of different segments for 2014 & 2022. The report also provides a prolific view of market dynamics, such as market drivers, restraints, and opportunities.

To help the strategic decision makers, the report also includes profiles of the leading smart grid data analytics solutions vendors, their SCOT (strengths, Challenges, Opportunities, and Weaknesses) analysis, and key developments. The major players profiled in the report are International Business Machines (IBM) Corporation, OMNECTRIC Group (a joint venture between Siemens AG and Accenture Plc.), SAP SE, Hewlett-Packard (HP) Development Company, L.P., SAS Institute, Inc., Oracle Corporation, EMC Corporation, Opower, Inc. and Cap Gemini SA. Further, the report also covers the market positioning of the key players operating in the smart grid data analytics market.

Other in-depth analysis provided in the report includes:

  • Current and future market trends to justify the forthcoming attractive markets within the smart grid data analytics industry
  • Market fuelers, market impediments, and their impact on the market growth
  • In-depth competitive environment analysis
  • Trailing 2-Year market size data (2013 – 2014)
  • SRC (Segment-Region-Country) Analysis

Overall, the research study provides:

  • A holistic view of the global smart grid data analytics market.
  • Offering market size and estimates for the period from 2015 to 2022.
  • Keeping in mind the above-mentioned factors.

Solution Type Segmentation Analysis

Based on solutions, the smart grid data analytics market is categorized into the following segments:

  • Advanced Metering Infrastructure (AMI) Analytics
  • Demand Response Solutions
  • Asset Management Solutions (AMS)
  • Grid Optimization
  • Others (Visualization Tools, Energy Data Forecasting, etc.)

The smart grid data analytics market was dominated by the asset management solutions (AMS) segment in 2014. The segment contributed to over one-third of the total market revenue generated worldwide. Asset management is among the first solutions used with the smart grid infrastructure. The prime functions of the solution are to enable effective property management, logistics management, comprehensive inventory control, and maintenance management for the utility. These solutions usually possess various modules which help the utility providers preserve and operate the grid components efficiently.

The AMI analytics solutions segment is expected to register the highest growth rate in the coming years worldwide. The demand for these solutions depends upon the penetration of smart meter infrastructure. The smart meter penetration is expected to soar substantially in the coming years. Most countries, such as China, Japan, South Korea, Australia, the U.S., and some Western Europe countries, among others, have already announced their plans for smart meter rollout. This, in turn, is expected to surge the demand for smart meters in the coming years. As a result, the AMI analytics segment is estimated to witness high demand in the coming years.

Based on end-users, the smart grid data analytics market is categorized into the following segments:

  • Small & Medium Utility Providers
  • Large Utility Providers
  • Public Sector

The public sector utility providers dominate the global smart grid data analytics market. As of 2014, the segment accounted for a market share, in terms of revenue, of more than 40% of the overall market revenue. The public sector utility segment comprises all the utility-providing units owned by the government. Due to high spending on smart grid projects (especially from China and the U.S.), smart grid penetration is expected to grow shortly. Since this mainly belongs to the public sector utilities, the segment is expected to retain its dominant position in the market throughout the forecast period.

The large utility providers segment will witness the highest growth rate in the coming years. The segment comprises privately owned utilities with higher generation capacity compared to the small & medium utilities. Return on investment (ROI) is one of the biggest concerns for utility providers. Installation of smart grids and related data analytics solutions is a high investment and thus raises the expectation of ROI. Most of the small & medium utility providers have a budget limitation, ultimately leading to low penetration of smart grids and data analytics solutions. As a result, the large utility segment is estimated to boost the smart grid data analytics market in the coming years.

Based on the deployment model, the global smart grid data analytics market is segmented into the following types:

  • On-premise
  • Cloud-based
  • Managed Services

As of 2014, the global smart grid data analytics market is dominated by the cloud-based deployment model. In 2014, the segment accounted for over half of the overall market revenue generated worldwide. Cloud-based solutions are cheaper as compared to on-premise solutions. Additionally, cloud-based solutions offer higher scalability and flexibility compared to on-premise deployment. This makes cloud-based deployment preferable to the on-premise deployment model. Additionally, the adoption of cloud-based services across different applications has grown substantially in the past few years. As a result, most consumers prefer having cloud-based solutions. Thus, the segment is expected to retain its dominant position in the market throughout the forecast period.

The managed services segment is, however, expected to register the highest growth in the coming years worldwide. This is because managed services are hybrid services offering higher flexibility over cloud-based solutions. These are also available as on-demand solutions, making them even cheaper than cloud-based ones. Subsequently, the segment is expected to witness high demand in the market in the coming years. Further, the on-premise deployment segment is expected to witness sluggish growth in the coming years. This is majorly due to the high cost of this deployment model compared to the other models.

Based on geography, the global smart grid data analytics market is segmented as per the following regions and countries.

  • North America
    • U.S.
    • Canada
  • Europe
    • Germany
    • France
    • Italy
    • U.K.
    • Russia
    • Rest of Europe
  • Asia-Pacific
    • India
    • China
    • Japan
    • Rest of Asia-Pacific
  • Latin America
    • Brazil
    • Mexico
    • Rest of Latin America
  • Middle East and Africa
    • GCC Countries
    • South Africa
    • Rest of Middle East and Africa

The smart grid data analytics market is dominated by North America. As of 2014, the region contributed to more than one-third of the overall market revenue generated worldwide. The North American smart grid data analytics market is mainly backed by the U.S. due to its high investment in smart grid projects. Additionally, due to the presence of a large number of smart grid data analytics solution vendors in the region, the market here is highly competitive. As a result, North America is expected to witness strong growth in the coming years.

However, the Asia Pacific region is expected to register the highest growth in the smart grid data analytics market in the coming years. The growth here is majorly supported by China, Australia, Japan, and South Korea. Due to strong ongoing investment in smart grid projects in these countries, Asia Pacific is expected to surpass North America, in terms of revenue, in the coming years. Further, Europe is expected to witness significant market growth during the forecast period. Western European countries mainly govern the market growth.

Chapter 1 Preface
1.1 Report Description
1.2 Research scope
1.3 Market Segmentation
1.4 Research Methodology
1.4.1 Phase I – Secondary Research
1.4.2 Phase II – Primary Research
1.4.3 Phase III – Expert Panel Review
1.4.4 Approach Adopted

Chapter 2 Executive Summary
2.1 Market Snapshot: Global Smart Grid Data Analytics Market
2.2 Global Smart Grid Data Analytics Market, By Service, 2014
2.3 Global Smart Grid Data Analytics Market, By Solution, 2014
2.4 Global Smart Grid Data Analytics Market, By Deployment Model
2.5 Global Smart Grid Data Analytics Market, By End-user
2.6 Global Smart Grid Data Analytics Market, By Geography

Chapter 3 Market Dynamics
3.1 Introduction
3.1.1 Global Smart Grid Data Analytics Market Revenue and Growth, 2013 – 2022, (US$ Mn) (Y-o-Y %)
3.2 Market Inclination Insights
3.3 Market Drivers
3.4 Market Growth Inhibitors
3.5 See-Saw Analysis
3.5.1 Impact Analysis of Drivers and Restraints
3.6 Attractive Investment Proposition
3.7 Smart Grid Data Analytics Industry – PESTEL Analysis
3.8 Competitive Analysis
3.9.1 Market Positioning of Key Vendors

Chapter 4 Global Smart Grid Data Analytics Market Analysis, By Service
4.1 Overview
4.2 Pac-man Analysis
4.3 Professional Services
4.3.1 Global Professional Services Market Revenue, 2013 – 2022, (US$ Mn)
4.4 Support & Maintenance Services
4.4.1 Global Support & Maintenance Services Market Revenue, 2013 – 2022, (US$ Mn)

Chapter 5 Global Smart Grid Data Analytics Market Analysis, By Solution
5.1 Overview
5.2 Tornado Analysis
5.3 Advanced Metering Infrastructure (AMI) Analytics
5.3.1 Global Advanced Metering Infrastructure (AMI) Analytics Market, 2013 – 2022, (US$ Mn)
5.4 Demand Response
5.4.1 Global Demand Response Solutions Market, 2013 – 2022, (US$ Mn)
5.5 Asset Management Solutions
5.5.1 Global Asset Management Solutions Market, 2013 – 2022, (US$ Mn)
5.6 Grid Optimization Solutions
5.6.1 Global Grid Optimization Solutions Market, 2013 – 2022, (US$ Mn)
5.7 Other Solutions
5.7.1 Global Other Solutions Market, 2013 – 2022, (US$ Mn)

Chapter 6 Global Smart Grid Data Analytics Market Analysis, By Deployment Model
6.1 Overview
6.2 Tornado Analysis
6.3 On-premise
6.3.1 Global On-premise Smart Grid Data Analytics Market, 2013 – 2022, (US$ Mn)
6.4 Cloud-based
6.4.1 Global Cloud-based Smart Grid Data Analytics Market, 2013 – 2022, (US$ Mn)
6.5 Managed
6.5.1 Global Managed Smart Grid Data Analytics Market, 2013 – 2022, (US$ Mn)

Chapter 7 Global Smart Grid Data Analytics Market Analysis, By End-user
7.1 Overview
7.2 Tornado Analysis
7.3 Small & Medium Utility Providers
7.3.1 Global Smart Grid Data Analytics Market for Small & Medium Utility Providers, 2013 – 2022, (US$ Mn)
7.4 Large Utility Providers
7.4.1 Global Smart Grid Data Analytics Market for Large Utility Providers, 2013 – 2022, (US$ Mn)
7.5 Public Sector
7.5.1 Global Smart Grid Data Analytics Market for Public Sector, 2013 – 2022, (US$ Mn)

Chapter 8 North America Smart Grid Data Analytics Market Analysis
8.1 Overview
8.1.1 North America Smart Grid Data Analytics Market Revenue and Growth, 2013 – 2022, (US$ Mn)
8.2 North America Smart Grid Data Analytics Market Revenue Market Analysis, By Service, 2013 – 2022 (US$ Mn)
8.2.1 SRC Analysis
8.3 North America Smart Grid Data Analytics Market Revenue Market Analysis, By Solution, 2013 – 2022 (US$ Mn)
8.3.1 SRC Analysis
8.4 North America Smart Grid Data Analytics Market Revenue Market Analysis, By Deployment Model, 2013 – 2022 (US$ Mn)
8.4.1 SRC Analysis
8.5 North America Smart Grid Data Analytics Market Revenue Market Analysis, By End-user, 2013 – 2022 (US$ Mn)
8.5.1 SRC Analysis
8.6 North America Smart Grid Data Analytics Market Revenue Market Analysis, By Region, 2013 – 2022 (US$ Mn)
8.6.1 SRC Analysis

Chapter 9 Europe Smart Grid Data Analytics Market Analysis
9.1 Overview
9.1.1 Europe Smart Grid Data Analytics Market Revenue and Growth, 2013 – 2022, (US$ Mn)
9.2 Europe Smart Grid Data Analytics Market Revenue Market Analysis, By Service, 2013 – 2022 (US$ Mn)
9.2.1 SRC Analysis
9.3 Europe Smart Grid Data Analytics Market Revenue Market Analysis, By Solution, 2013 – 2022 (US$ Mn)
9.3.1 SRC Analysis
9.4 Europe Smart Grid Data Analytics Market Revenue Market Analysis, By Deployment Model, 2013 – 2022 (US$ Mn)
9.4.1 SRC Analysis
9.5 Europe Smart Grid Data Analytics Market Revenue Market Analysis, By End-user, 2013 – 2022 (US$ Mn)
9.5.1 SRC Analysis
9.6 Europe Smart Grid Data Analytics Market Revenue Market Analysis, By Region, 2013 – 2022 (US$ Mn)
9.6.1 SRC Analysis

Chapter 10 Asia Pacific Smart Grid Data Analytics Market Analysis
10.1 Overview
10.1.1 Asia Pacific Smart Grid Data Analytics Market Revenue and Growth, 2013 – 2022, (US$ Mn)
10.2 Asia Pacific Smart Grid Data Analytics Market Revenue Market Analysis, By Service, 2013 – 2022 (US$ Mn)
10.2.1 SRC Analysis
10.3 Asia Pacific Smart Grid Data Analytics Market Revenue Market Analysis, By Solution, 2013 – 2022 (US$ Mn)
10.3.1 SRC Analysis
10.4 Asia Pacific Smart Grid Data Analytics Market Revenue Market Analysis, By Deployment Model, 2013 – 2022 (US$ Mn)
10.4.1 SRC Analysis
10.5 Asia Pacific Smart Grid Data Analytics Market Revenue Market Analysis, By End-user, 2013 – 2022 (US$ Mn)
10.5.1 SRC Analysis
10.6 Asia Pacific Smart Grid Data Analytics Market Revenue Market Analysis, By Region, 2013 – 2022 (US$ Mn)
10.6.1 SRC Analysis

Chapter 11 Rest of the World (RoW) Smart Grid Data Analytics Market Analysis
11.1 Overview
11.1.1 RoW Smart Grid Data Analytics Market Revenue and Growth, 2013 – 2022, (US$ Mn)
11.2 RoW Smart Grid Data Analytics Market Revenue Market Analysis, By Service, 2013 – 2022 (US$ Mn)
11.2.1 SRC Analysis
11.3 RoW Smart Grid Data Analytics Market Revenue Market Analysis, By Solution, 2013 – 2022 (US$ Mn)
11.3.1 SRC Analysis
11.4 RoW Smart Grid Data Analytics Market Revenue Market Analysis, By Deployment Model, 2013 – 2022 (US$ Mn)
11.4.1 SRC Analysis
11.5 RoW Smart Grid Data Analytics Market Revenue Market Analysis, By End-user, 2013 – 2022 (US$ Mn)
11.5.1 SRC Analysis
11.6 RoW Smart Grid Data Analytics Market Revenue Market Analysis, By Region, 2013 – 2022 (US$ Mn)
11.6.1 SRC Analysis

Chapter 12 Company Profiles
12.1 IBM Corporation
12.2 Oracle Corporation
12.3 Opower, Inc.
12.4 SAP SE
12.5 SAS Institute, Inc.
12.6 OMNETRIC Group
12.7 Hewlett-Packard Development Company L.P.
12.8 CapGemini SA
12.9 EMC Corporation

Frequently Asked Questions:

What is the size of Smart Grid Data Analytics Market?

The market for Smart Grid Data Analytics is expected to reach US$ XX Bn in 2022.

What is the Smart Grid Data Analytics Market CAGR?

The Smart Grid Data Analytics market is expected to see significant CAGR growth over the coming years, at XX%.

What is the Forecast period considered for Smart Grid Data Analytics Market?

The report is forecasted from 2015-2022.

What is the base year considered for Smart Grid Data Analytics Market?

The base year of this report is 2014.

Who are the major players in this market?

IBM Corporation, Oracle Corporation, Opower, Inc., SAP SE, SAS Institute, Inc., OMNETRIC Group, Hewlett-Packard Development Company L.P., CapGemini SA are some of the major players in the global market.

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