IMARC Group has recently released a new research study titled "Smart Grid Data Analytics Market Size, Share, Trends and Forecast by Solution, Deployment, Application, End Use Vertical, and Region, 2026-2034", offers a detailed analysis of the market drivers, segmentation, growth opportunities, trends and competitive landscape to understand the current and future market scenarios.

Market Overview

The global smart grid data analytics market was valued at USD 3.0 Billion in 2025 and is projected to reach USD 6.4 Billion by 2034, growing at a CAGR of 8.66% during the forecast period from 2026 to 2034. Driven by the increasing adoption of digital meters, real-time monitoring tools, and IoT devices, the market expansion is supported by evolving grid systems, supportive government policies, and the integration of renewable energy sources. Utilities worldwide are leveraging advanced analytics to enhance grid reliability, manage energy challenges efficiently, and reduce outages with better fault detection and load balancing. 

Study Assumption Years

  • Base Year: 2025
  • Historical Year/Period: 2020-2025
  • Forecast Year/Period: 2026-2034

Smart Grid Data Analytics Market Key Takeaways

  • Current Market Size: USD 3.0 Billion in 2025
  • CAGR: 8.66%
  • Forecast Period: 2026-2034
  • The transmission and distribution (T&D) network segment led the market in 2025 owing to upgrades in aging grid systems and enhanced fault detection.
  • North America dominated the market in 2025, attributed to extensive smart meter rollouts and strong government incentives.
  • The private sector (SMEs and large enterprises) segment led in 2025 due to higher investments in efficient energy management and adoption of predictive analytics.
  • On-premises deployment led in 2025 due to cybersecurity concerns and control preferences by utilities over critical data.
  • The growing deployment of advanced metering infrastructure (AMI) analytics is enhancing energy consumption insights and loss detection.

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Market Growth Factors

The global smart grid data analytics market growth is driven by the increasing use of digital meters, real-time monitoring tools, and IoT devices, which support utilities in maintaining grid stability and efficiency. Real-time data streams from smart meters and sensors enable early fault detection and reduction of energy losses. Governments provide grants and pilot programs to test advanced grid models, promoting stronger grid reliability and renewable energy integration. For example, in the United States, programs that adjust household or industrial electricity usage during peak times help ease strain on grids incorporating renewables, reducing dependence on fossil fuels.

Rising demand for sophisticated grid operations is another critical growth factor. Utilities are transitioning from manual checks to real-time data tracking systems that enable faster fault responses, load balancing, and smoother network management. Initiatives such as the USD 1.9 Billion smart grid expansion plan by Dubai Electricity and Water Authority exemplify large-scale investments in automated controls and IoT monitoring to ensure continuous power and water flow management. This shift toward digitization empowers regions to have better control over resources while accommodating rising energy demands.

Climate change and the integration of renewable energy sources impose greater demands on grid resilience, pushing grid managers to adopt smart analytics for weather-related disruptions and fluctuating renewable outputs. Schneider Electric's new smart grid solutions introduced at Enlit Europe 2024 demonstrate improved grid strength and demand handling through AI-enabled forecasting and renewable energy coordination. These advancements help utilities manage real-time data feeds to identify weak points, prevent fault propagation, and support the steady inclusion of clean energy, boosting the smart grid data analytics market growth.

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Market Segmentation

 Analysis by Solution:

  • Transmission and Distribution (T&D) Network: Led the market in 2025 by enhancing aging grids with digital fault detection and load balancing tools, supported by government funding to improve infrastructure and reduce power outages.
  • Metering: Not provided in source.
  • Customer Analytics: Not provided in source.

 Analysis by Deployment:

  • Cloud-based: Not provided in source.
  • On-premises: Dominated in 2025 as utilities preferred local control over data due to cybersecurity concerns, customization needs, and compliance with data privacy regulations.

 Analysis by Application:

  • Advanced Metering Infrastructure Analytics: Enabled utilities to obtain real-time energy usage data, detect tampering, and optimize high-demand period planning, boosting cost savings and customer trust.
  • Demand Response Analysis: Allowed energy providers to react quickly to peak demand by managing power consumption through rebate programs and automated systems.
  • Grid Optimization Analysis: Helped utilities improve network efficiency by identifying weak points, balancing voltage, reducing losses, and supporting load planning for steady energy supply.
  • Others: Included outage tracking, asset health monitoring, renewable energy integration, and cybersecurity tools for enhanced grid management.

 Analysis by End Use Vertical:

  • Private Sector (SMEs and Large Enterprises): Led in 2025 driven by investments in modern energy management, predictive maintenance analytics, and flexible energy plans based on smart meter data.
  • Public Sector: Not provided in source.

Regional Insights

North America dominated the smart grid data analytics market in 2025 due to strong technology adoption and considerable upgrades to grid infrastructure. Utilities in the United States and Canada modernized transmission and distribution systems with real-time data tools, supported by federal policies and funding. The presence of skilled technology firms and advanced research further propelled innovation in smart grid analytics. High demand for reliable electricity and integration of renewable sources compelled operators to use analytics extensively for load balancing and fault detection, maintaining regional leadership.

Recent Developments & News

In June 2025, Itron, Inc. partnered with Hellenic Electricity Distribution Network Operator S.A. (HEDNO) to enhance grid edge intelligence in Greece, enabling real-time insights and increased grid efficiency aligned with net-zero emission goals by 2050. Also in June 2025, Tantalus Systems announced deployment of its AI-powered TRUGrid solutions with the Indiana Municipal Power Agency, marking its first AI analytics rollout across a Joint Action Agency. In April 2025, G&W Electric invested in Safegrid to strengthen smart grid monitoring and predictive fault detection. Additionally, in March 2025, Grid Dynamics launched an IoT Control Tower to analyze real-time equipment data for improved energy operator efficiency. Earlier, in February 2024, Itron and GE Vernova collaborated to unify grid edge and operations data for a more reliable grid. Furthermore, African Energy Professionals benefited from AFREC's online smart grid training launched in February 2025 to build local analytics skills.

Key Players

  • GE Vernova
  • Grid4C
  • Itron Inc.
  • Landis+Gyr
  • Oracle Corporation
  • SAP SE
  • Schneider Electric
  • Sentient Energy, Inc.
  • Siemens AG
  • Tantalus
  • Xylem

Customization Note

If you require any specific information that is not covered currently within the scope of the report, we will provide the same as a part of the customization.

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