Market Overview:

The global smart grid data analytics market reached a value of US$ 1.92 Billion in 2021. Looking forward, IMARC Group expects the market to reach a value of US$ 3.9 Billion by 2027, exhibiting a CAGR of 11.70% during 2022-2027. Keeping in mind the uncertainties of COVID-19, we are continuously tracking and evaluating the direct as well as the indirect influence of the pandemic on different end use sectors. These insights are included in the report as a major market contributor.

Smart grid data analytics refer to systematic computational solutions used to analyze large amounts of data produced from smart grid systems. They collect valuable information generated by the equipment and help in predicting the load for the future. They consist of forecasting, predictive, prescriptive analytics and optimization. Smart grid data analytics are widely used in demand response, grid optimization and advanced metering infrastructure analysis. They aid in improving grid reliability, efficient energy transmission, and security, lowering management costs, and delivering personalized energy services to consumers and better integration of renewable energy. These solutions are deployed to gain predictive analysis, establish better decision support systems and optimize grid efficiency.

Smart Grid Data Analytics Market Trends:

The increasing product demand by utility service providers across the globe is creating a positive outlook for the market growth. Smart grid data analytics are set up at the end of utility providers to help them in analyzing load behavior, optimizing grid operations, decreasing power cuts and making better decisions. In line with this, the widespread adoption of smart meters by consumers to manage their energy consumption is favoring the market growth. Apart from this, various technological advancements, such as the integration of the internet of things (IoT) that aid in reliable and efficient energy transmission and enhancing security, is providing an impetus to the market growth. Additionally, the introduction of advanced metering infrastructure (AMI) that reduces utility costs and offers convenience to the customer by remotely reading meters and generating more accurate bills faster is positively impacting the market growth. Other factors, including extensive research and development (R&D) activities, growing smart city developments and various government initiatives for the use of renewable sources of power generation, are anticipated to drive the market further toward growth. 

Key Market Segmentation:

IMARC Group provides an analysis of the key trends in each sub-segment of the global smart grid data analytics market, along with forecasts at the global, regional and country level from 2022-2027. Our report has categorized the market based on solution, deployment, application and end use vertical.

Breakup by Solution:

• Transmission and Distribution (T&D) Network
• Metering
• Customer Analytics
   

Breakup by Deployment:

• Cloud-based
• On-premises
   

Breakup by Application:

• Advanced Metering Infrastructure Analytics
• Demand Response Analysis
• Grid Optimization Analysis
• Others
   

Breakup by End Use Vertical:

• Private Sector (SMEs and Large Enterprises)
• Public Sector
   

Breakup by Region:

• North America
  • United States
  • Canada
• Asia-Pacific
  • China
  • Japan
  • India
  • South Korea
  • Australia
  • Indonesia
  • Others
• Europe
  • Germany
  • France
  • United Kingdom
  • Italy
  • Spain
  • Russia
  • Others
• Latin America
  • Brazil
  • Mexico
  • Others
• Middle East and Africa
   

Competitive Landscape:

The competitive landscape of the industry has also been examined along with the profiles of the key players being Accenture plc, AutoGrid Systems Inc., General Electric Company, International Business Machines Corporation, Itron Inc., Landis+Gyr (Toshiba Corporation), SAP SE, SAS Institute Inc., Schneider Electric SE, Sensus USA Inc. (Xylem Inc.), Siemens AG and Tantalus System Corporation.

Report Coverage: