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.
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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.
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.
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.
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