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Published Date: 2015-11-30Number of Pages: 204

Smart Grid Data Analytics Market (Solution Type - AMI Analytics, Demand Response, Grid Optimization, Asset Management, Energy Forecasting, and Data Visualization Tools; Service - Professional Services and Support & Maintenance Services; Deployment Model - On-premise, Cloud-based, and Hybrid; End-user - Small/Medium Enterprises, Large Enterprises, and Public Sector) - Global Industry Analysis, Size, Share, Growth, Trends and Forecast 2015 - 2022

Global Smart Grid Data Analytics Market: Snapshot 

Smart grid data analytics consists of solutions that enable the analysis of the deluge of data produced during smart grid operations. These solutions are increasingly gaining significance among utility providers and energy companies to effectively manage grid operations, plan investment in distribution networks, and monitor consumer behavior. The demand for sustainable and cost-effective supply of power by consumers and producers in the utility industry has catalyzed the smart grid data analytics market. In a constantly evolving energy landscape, large volumes of data are generated from sensors, smart meters, automated distribution systems, and other sensing equipment. Utility owners or providers utilize these data to manage consumption and demand, reduce downtime, and prevent power outage.

The rapidly growing penetration of information and communication technologies (ICT) in grid modernization has led to the emergence of smart grid data analytics. The advent of Internet of Things (IoT) and big data analytics has significantly expanded the options available with utility providers in the management of smart data. The market for smart grid data analytics was valued at US$1.6 bn in 2014. Rising at a CAGR of 13.4% from 2015 to 2022, the market is projected to reach US$4.6 bn by the end of the forecast period.

Growing Reliance of Advanced Metering Infrastructure on Smart Meters to Bolster Uptake 

Based on the type of solution, the smart grid data analytics solution is segmented into advanced metering infrastructure (AMI), demand response analytics, asset management, grid optimization, and energy forecasting and data visualization solutions. Among these, the asset management occupied a major market share in 2014, in terms of revenue. However, the accelerating adoption of smart metering technologies and the increasing reliance of AMI to manage various smart meters technologies are key factors expected to bring AMI analytics segment to the forefront. By the end of 2022, the segment is estimated to garner a higher revenue than generated by the asset management segment. 

Cloud-based Deployment Model for Smart Grid Data Analytics Gaining Prominence

Based on service, the smart grid data analytics market is segmented into support and maintenance services and professional services, with the former segment occupying a major share in 2014. On the basis of deployment model, the market is segmented into cloud-based, hybrid models, and on-premise. Of these, cloud-based smart grid data analytics market leads the market. The dominance of the segment is attributed to the growing popularity of cloud-based solutions world over. The major end users of smart grid analytics solutions are large enterprises, small or medium enterprises, and public sector. Of these, currently the public sector segment holds the maximum revenue and is anticipated to dominate the market. 

Asia Pacific to Offer Lucrative Growth Avenues for Utility Companies to Capitalize on

Geographically, the global smart grid data analytics market is segmented into North America, Europe, Asia Pacific, Latin America, and the Middle East and Africa. Of these, the North America market for smart grid data analytics held the maximum revenue share in 2014. The substantial share of this regional market is attributed to the robust adoption of smart grid systems in countries such as the U.S. and consistent efforts by private and public players to improve energy infrastructure.

Meanwhile, Asia Pacific is expected to rise at the maximum CAGR through the forecast period. The growth is driven by spiraling investment on the modernization of aging grid systems in nations such as China, Japan, South Korea, Australia, and Japan and in several parts of Southeast Asia. The regional market is expected to rise at an impressive CAGR of 14.8% from 2015 to 2022.

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 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).

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 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.

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.

Global Smart Grid Data Analytics Market Segmentation:

Smart Grid Data Analytics Market, by Solution Type

  • AMI Analytics
  • Demand Response Analytics
  • 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

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
    • 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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