Global Smart Grid Analytics Market 2025-2035
Description
Smart Grid Analytics Market Size, Share & Trends Analysis Report by Offering (Software, and Services), by Analytics Type (Descriptive Analytics, Diagnostic Analytics, Predictive Analytics, and Prescriptive Analytics), and by Application (AMI Analytics, Load Forecasting & Demand Response, Grid Optimization, Monitoring, And Management, Distributed Energy Resources Management Systems, Predictive Maintenance, Energy Theft Detection & Cybersecurity, Voltage, Frequency, And Stability Management, Customer Engagement & Analytics, Visual Analytics, and Outage Management & Fault Detection) Forecast Period (2025-2035)
Industry Overview
Smart grid analytics market was valued at $7.7 billion in 2024 and is expected to reach $15.4 billion by 2030 and further expand to $27.5 billion by 2035, registering a CAGR of 12.3% during 2025–2035. Smart grid analytics uses advanced data analytics, AI, and machine learning to transform data from connected grid equipment into actionable insights, enabling real-time monitoring, predictive maintenance, and smarter electricity system management. It improves grid efficiency, reliability, and resilience by analyzing real-time data for predictive maintenance, load forecasting, renewable integration, power theft detection, demand response, renewable energy integration, and consumer behavior adjustments. It is used across multiple grid operations and utility value chains, including advanced metering infrastructure analysis, demand response analysis, grid optimization, renewable & EV integration forecasting, customer analytics, and asset and grid-edge analytics for real-time monitoring of infrastructure health and decentralization.
Market Dynamics
Growing Adoption of Smart Meters and AMI Infrastructure
The market growth is boosted mainly by the increasing use of smart meters and Advanced Metering Infrastructure (AMI) infrastructure to collect and analyze real-time data. For instance, in June 2025, Sense launched EV Analytics, an AMI-based load management platform for grid operations. The platform uses high-resolution waveform information from the AMI 2.0 meter, featuring embedded AI and machine learning, to detect all electric vehicles (EVs) that are charging on the power grid. This technology allows for smarter forecasting, enhanced distribution planning, and more efficient managed charging program delivery to utilities.
Increased Demand for Energy Efficiency
The growing global energy demand is leading utilities to use data-driven technologies to optimize grid performance and losses. For instance, in October 2024, Schneider Electric introduced its latest smart grid solutions at Enlit Europe, aimed at enhancing grid resiliency, increasing operational flexibility, and supporting net-zero objectives. These solutions are designed to help utilities better manage growing energy demands, integrate distributed energy resources, and ensure reliable power delivery amid evolving challenges in the energy sector.
Market Segmentation
Advanced metering infrastructure analytics is a formal examination of high-frequency data collected by smart meters in an integrated network for real-time monitoring and energy consumption management. AMI enhances grid efficiency, customer service, energy efficiency, load forecasting, asset management, and service quality through customized billing, usage pattern analysis, and monitoring power quality parameters. The global market is witnessing growth as a result of mounting utilization of smart meters and AMI systems for improved operational efficiency and greater customer transparency. For instance, in April 2024, Neudesic collaborated with Databricks to introduce a Smart Meter Analytics Solution to maximize energy management and grid reliability for utilities. Powered by the Databricks Data Intelligence Platform, the solution enables utility companies to transform their analytics infrastructure, supporting enhanced forecasting, accelerated data insights, and real-time visibility into energy consumption, load behavior, and meter health. In addition, a smart meter analytics solution gives utility companies a unified framework for analyzing advanced metering infrastructure data, enhancing revenue through accurate billing automation and theft identification.
Regional Outlook
The global smart grid analytics market is further divided by region, including North America (the US and Canada), Europe (the UK, Germany, France, Italy, Spain, Russia, and the Rest of Europe), Asia-Pacific (India, China, Japan, South Korea, Australia and New Zealand, ASEAN Countries, and the Rest of Asia-Pacific), and the Rest of the World (the Middle East & Africa, and Latin America).
Growing Installation of Smart Meters in Asia-Pacific
India's growing smart meter installations are fueling market growth due to increasing demand for smart grid analytics solutions for real-time data management for billing, consumption monitoring, and grid health monitoring. According to Energy. Prayaspune.Org, in May 2025, the progress of consumer metering in India towards the target of 250 million smart prepaid meters reveals that, although there is consistent annual improvement in meter delivery, installation, charging, and communication, only 13.4 million meters (5% of the target) are currently operational in terms of communication. Additionally, about 4.8 million meters (1.9% of the target) are functioning in prepaid mode, predominantly in Assam, Bihar, Gujarat, Manipur, and West Bengal. Among the sanctioned meters, approximately 11% are prepaid smart meters in specific regions such as the Andaman & Nicobar Islands, Arunachal Pradesh, Maharashtra, and Mizoram, while the remainder are whole current smart meters.
North America Maintains Strong Market Position
North America holds a significant share, owing to the market growth is primarily driven by government-initiated grid modernization initiatives towards investing in smart grid analytics to track, optimize, and control real-time grid activities are driving market growth. For instance, in May 2024, the US Department of Energy (DOE) launched the modern grid deployment initiative in the US, aimed at accelerating the nationwide implementation of modern grid technologies. This initiative is intended to enhance grid flexibility, reliability, and resilience, while supporting the integration of clean energy resources.
Market Players Outlook
The major companies operating in the global smart grid analytics market include IBM Corp., Landis+Gyr, Oracle Corp., Schneider Electric, and Siemens AG, among others. Market players are leveraging partnerships, collaborations, mergers, and acquisition strategies for business expansion and innovative product development to maintain their market positioning.
Recent Developments
Industry Overview
Smart grid analytics market was valued at $7.7 billion in 2024 and is expected to reach $15.4 billion by 2030 and further expand to $27.5 billion by 2035, registering a CAGR of 12.3% during 2025–2035. Smart grid analytics uses advanced data analytics, AI, and machine learning to transform data from connected grid equipment into actionable insights, enabling real-time monitoring, predictive maintenance, and smarter electricity system management. It improves grid efficiency, reliability, and resilience by analyzing real-time data for predictive maintenance, load forecasting, renewable integration, power theft detection, demand response, renewable energy integration, and consumer behavior adjustments. It is used across multiple grid operations and utility value chains, including advanced metering infrastructure analysis, demand response analysis, grid optimization, renewable & EV integration forecasting, customer analytics, and asset and grid-edge analytics for real-time monitoring of infrastructure health and decentralization.
Market Dynamics
Growing Adoption of Smart Meters and AMI Infrastructure
The market growth is boosted mainly by the increasing use of smart meters and Advanced Metering Infrastructure (AMI) infrastructure to collect and analyze real-time data. For instance, in June 2025, Sense launched EV Analytics, an AMI-based load management platform for grid operations. The platform uses high-resolution waveform information from the AMI 2.0 meter, featuring embedded AI and machine learning, to detect all electric vehicles (EVs) that are charging on the power grid. This technology allows for smarter forecasting, enhanced distribution planning, and more efficient managed charging program delivery to utilities.
Increased Demand for Energy Efficiency
The growing global energy demand is leading utilities to use data-driven technologies to optimize grid performance and losses. For instance, in October 2024, Schneider Electric introduced its latest smart grid solutions at Enlit Europe, aimed at enhancing grid resiliency, increasing operational flexibility, and supporting net-zero objectives. These solutions are designed to help utilities better manage growing energy demands, integrate distributed energy resources, and ensure reliable power delivery amid evolving challenges in the energy sector.
Market Segmentation
- Based on the offering, the market is segmented into software and services.
- Based on the analytics type, the market is segmented into descriptive analytics, diagnostic analytics, predictive analytics, and prescriptive analytics.
- Based on the application, the market is segmented into AMI analytics, load forecasting & demand response, grid optimization, monitoring, and management, distributed energy resources management systems, predictive maintenance, energy theft detection & cybersecurity, voltage, frequency, and stability management, customer engagement & analytics, visual analytics, and outage management & fault detection.
Advanced metering infrastructure analytics is a formal examination of high-frequency data collected by smart meters in an integrated network for real-time monitoring and energy consumption management. AMI enhances grid efficiency, customer service, energy efficiency, load forecasting, asset management, and service quality through customized billing, usage pattern analysis, and monitoring power quality parameters. The global market is witnessing growth as a result of mounting utilization of smart meters and AMI systems for improved operational efficiency and greater customer transparency. For instance, in April 2024, Neudesic collaborated with Databricks to introduce a Smart Meter Analytics Solution to maximize energy management and grid reliability for utilities. Powered by the Databricks Data Intelligence Platform, the solution enables utility companies to transform their analytics infrastructure, supporting enhanced forecasting, accelerated data insights, and real-time visibility into energy consumption, load behavior, and meter health. In addition, a smart meter analytics solution gives utility companies a unified framework for analyzing advanced metering infrastructure data, enhancing revenue through accurate billing automation and theft identification.
Regional Outlook
The global smart grid analytics market is further divided by region, including North America (the US and Canada), Europe (the UK, Germany, France, Italy, Spain, Russia, and the Rest of Europe), Asia-Pacific (India, China, Japan, South Korea, Australia and New Zealand, ASEAN Countries, and the Rest of Asia-Pacific), and the Rest of the World (the Middle East & Africa, and Latin America).
Growing Installation of Smart Meters in Asia-Pacific
India's growing smart meter installations are fueling market growth due to increasing demand for smart grid analytics solutions for real-time data management for billing, consumption monitoring, and grid health monitoring. According to Energy. Prayaspune.Org, in May 2025, the progress of consumer metering in India towards the target of 250 million smart prepaid meters reveals that, although there is consistent annual improvement in meter delivery, installation, charging, and communication, only 13.4 million meters (5% of the target) are currently operational in terms of communication. Additionally, about 4.8 million meters (1.9% of the target) are functioning in prepaid mode, predominantly in Assam, Bihar, Gujarat, Manipur, and West Bengal. Among the sanctioned meters, approximately 11% are prepaid smart meters in specific regions such as the Andaman & Nicobar Islands, Arunachal Pradesh, Maharashtra, and Mizoram, while the remainder are whole current smart meters.
North America Maintains Strong Market Position
North America holds a significant share, owing to the market growth is primarily driven by government-initiated grid modernization initiatives towards investing in smart grid analytics to track, optimize, and control real-time grid activities are driving market growth. For instance, in May 2024, the US Department of Energy (DOE) launched the modern grid deployment initiative in the US, aimed at accelerating the nationwide implementation of modern grid technologies. This initiative is intended to enhance grid flexibility, reliability, and resilience, while supporting the integration of clean energy resources.
Market Players Outlook
The major companies operating in the global smart grid analytics market include IBM Corp., Landis+Gyr, Oracle Corp., Schneider Electric, and Siemens AG, among others. Market players are leveraging partnerships, collaborations, mergers, and acquisition strategies for business expansion and innovative product development to maintain their market positioning.
Recent Developments
- In May 2024, Honeywell partnered with Enel North America to enhance building automation and demand response solutions for commercial and industrial organizations by using automation to control and regulate energy loads to help stabilize the power grid.
- In March 2024, Itron, Inc. expanded its Grid Edge Intelligence portfolio through the acquisition of Elpis Squared, an innovative provider of software and services for utility grid operations, effective immediately. This acquisition enables Itron to integrate real-time, high-resolution grid edge data into grid planning, operations, and engineering marking an industry-first advancement.
- In February 2024, Landis+Gyr and SPAN partnered to improve utility utilization, unlock Distributed Energy Resource (DER) flexibility, and enhance customer engagement at the grid edge. The partnership aims to help utilities meet renewable energy deployment goals while maintaining grid stability and upgrading infrastructure. The innovative solution improves home-distribution grid interface with extended equipment life, intelligent load management, high-resolution submetering, load visibility, control of highest value loads, superior homeowner experience, and customer choice.
- Market value data analysis of 2024 and forecast to 2035.
- Annualized market revenues ($ million) for each market segment.
- Country-wise analysis of major geographical regions.
- Key companies operating in the global smart grid analytics market. Based on the availability of data, information related to new products and relevant news is also available in the report.
- Analysis of business strategies by identifying the key market segments positioned for strong growth in the future.
- Analysis of market-entry and market expansion strategies.
- Competitive strategies by identifying ‘who-stands-where’ in the market.
Table of Contents
195 Pages
- 1. Report Summary
- Current Industry Analysis and Growth Potential Outlook
- Global Smart Grid Analytics Market Sales Analysis – Offering | Analytics Type | Application ($ Million)
- Smart Grid Analytics Market Sales Performance of Top Countries
- 1.1. Research Methodology
- Primary Research Approach
- Secondary Research Approach
- 1.2. Market Snapshot
- 2. Market Overview and Insights
- 2.1. Scope of the Study
- 2.2. Analyst Insight & Current Market Trends
- 2.2.1. Key Smart Grid Analytics Market Trends
- 2.2.2. Market Recommendations
- 3. Market Determinants
- 3.1. Market Drivers
- 3.1.1. Drivers For Global Smart Grid Analytics Market: Impact Analysis
- 3.2. Market Pain Points and Challenges
- 3.2.1. Restraints For Global Smart Grid Analytics Market: Impact Analysis
- 3.3. Market Opportunities
- 3.3.1. Opportunities For Global Smart Grid Analytics Market: Impact Analysis
- 4. Competitive Landscape
- 4.1. Competitive Dashboard – Smart Grid Analytics Market Revenue and Share by Manufacturers
- Smart Grid Analytics Offering Comparison Analysis
- Top Market Player Ranking Matrix
- 4.2. Key Company Analysis
- 4.2.1. IBM Corp.
- 4.2.1.1. Overview
- 4.2.1.2. Offering Portfolio
- 4.2.1.3. Financial Analysis (Subject to Data Availability)
- 4.2.1.4. SWOT Analysis
- 4.2.1.5. Business Strategy
- 4.2.2. Landis+Gyr
- 4.2.2.1. Overview
- 4.2.2.2. Offering Portfolio
- 4.2.2.3. Financial Analysis (Subject to Data Availability)
- 4.2.2.4. SWOT Analysis
- 4.2.2.5. Business Strategy
- 4.2.3. Oracle Corp.
- 4.2.3.1. Overview
- 4.2.3.2. Offering Portfolio
- 4.2.3.3. Financial Analysis (Subject to Data Availability)
- 4.2.3.4. SWOT Analysis
- 4.2.3.5. Business Strategy
- 4.2.4. Schneider Electric
- 4.2.4.1. Overview
- 4.2.4.2. Offering Portfolio
- 4.2.4.3. Financial Analysis (Subject to Data Availability)
- 4.2.4.4. SWOT Analysis
- 4.2.4.5. Business Strategy
- 4.2.5. Siemens AG
- 4.2.5.1. Overview
- 4.2.5.2. Offering Portfolio
- 4.2.5.3. Financial Analysis (Subject to Data Availability)
- 4.2.5.4. SWOT Analysis
- 4.2.5.5. Business Strategy
- 4.3. Top Winning Strategies by Market Players
- 4.3.1. Merger and Acquisition
- 4.3.2. Offering Launch
- 4.3.3. Partnership And Collaboration
- 5. Global Smart Grid Analytics Market Sales Analysis by Offering ($ Million)
- 5.1. Software
- 5.2. Services
- 6. Global Smart Grid Analytics Market Sales Analysis by Analytics Type ($ Million)
- 6.1. Descriptive Analytics
- 6.2. Diagnostic Analytics
- 6.3. Predictive Analytics
- 6.4. Prescriptive Analytics
- 7. Global Smart Grid Analytics Market Sales Analysis by Application ($ Million)
- 7.1. AMI Analytics
- 7.2. Load Forecasting & Demand Response
- 7.3. Grid Optimization, Monitoring, And Management
- 7.4. Distributed Energy Resources Management Systems
- 7.5. Predictive Maintenance
- 7.6. Energy Theft Detection & Cybersecurity
- 7.7. Voltage, Frequency, And Stability Management
- 7.8. Customer Engagement & Analytics
- 7.9. Visual Analytics
- 7.10. Outage Management & Fault Detection
- 8. Regional Analysis
- 8.1. North American Smart Grid Analytics Market Sales Analysis – Offering | Analytics Type | Application | Country ($ Million)
- Macroeconomic Factors for North America
- 8.1.1. United States
- 8.1.2. Canada
- 8.2. European Smart Grid Analytics Market Sales Analysis – Offering | Analytics Type | Application | Country ($ Million)
- Macroeconomic Factors for Europe
- 8.2.1. UK
- 8.2.2. Germany
- 8.2.3. Italy
- 8.2.4. Spain
- 8.2.5. France
- 8.2.6. Russia
- 8.2.7. Rest of Europe
- 8.3. Asia-Pacific Smart Grid Analytics Market Sales Analysis – Offering | Analytics Type | Application | Country ($ Million)
- Macroeconomic Factors for Asia-Pacific
- 8.3.1. China
- 8.3.2. Japan
- 8.3.3. South Korea
- 8.3.4. India
- 8.3.5. Australia & New Zealand
- 8.3.6. ASEAN Countries (Thailand, Indonesia, Vietnam, Singapore, And others)
- 8.3.7. Rest of Asia-Pacific
- 8.4. Rest of the World Smart Grid Analytics Market Sales Analysis – Offering | Analytics Type | Application | Country ($ Million)
- Macroeconomic Factors for the Rest of the World
- 8.4.1. Latin America
- 8.4.2. Middle East and Africa
- 9. Company Profiles
- 9.1. ABB Ltd.
- 9.1.1. Quick Facts
- 9.1.2. Company Overview
- 9.1.3. Product Portfolio
- 9.1.4. Business Strategies
- 9.2. Accenture PLC
- 9.2.1. Quick Facts
- 9.2.2. Company Overview
- 9.2.3. Product Portfolio
- 9.2.4. Business Strategies
- 9.3. Capgemini Services SAS
- 9.3.1. Quick Facts
- 9.3.2. Company Overview
- 9.3.3. Product Portfolio
- 9.3.4. Business Strategies
- 9.4. Cisco Systems, Inc.
- 9.4.1. Quick Facts
- 9.4.2. Company Overview
- 9.4.3. Product Portfolio
- 9.4.4. Business Strategies
- 9.5. Eaton Corp. plc
- 9.5.1. Quick Facts
- 9.5.2. Company Overview
- 9.5.3. Product Portfolio
- 9.5.4. Business Strategies
- 9.6. Ei Square Ltd.
- 9.6.1. Quick Facts
- 9.6.2. Company Overview
- 9.6.3. Product Portfolio
- 9.6.4. Business Strategies
- 9.7. Fujitsu Ltd.
- 9.7.1. Quick Facts
- 9.7.2. Company Overview
- 9.7.3. Product Portfolio
- 9.7.4. Business Strategies
- 9.8. GE Vernova Inc.
- 9.8.1. Quick Facts
- 9.8.2. Company Overview
- 9.8.3. Product Portfolio
- 9.8.4. Business Strategies
- 9.9. Hitachi Energy Ltd.
- 9.9.1. Quick Facts
- 9.9.2. Company Overview
- 9.9.3. Product Portfolio
- 9.9.4. Business Strategies
- 9.10. Hive Power SA
- 9.10.1. Quick Facts
- 9.10.2. Company Overview
- 9.10.3. Product Portfolio
- 9.10.4. Business Strategies
- 9.11. IBM Corp.
- 9.11.1. Quick Facts
- 9.11.2. Company Overview
- 9.11.3. Product Portfolio
- 9.11.4. Business Strategies
- 9.12. Infosys Ltd.
- 9.12.1. Quick Facts
- 9.12.2. Company Overview
- 9.12.3. Product Portfolio
- 9.12.4. Business Strategies
- 9.13. Itron Inc.
- 9.13.1. Quick Facts
- 9.13.2. Company Overview
- 9.13.3. Product Portfolio
- 9.13.4. Business Strategies
- 9.14. Kamstrup A/S
- 9.14.1. Quick Facts
- 9.14.2. Company Overview
- 9.14.3. Product Portfolio
- 9.14.4. Business Strategies
- 9.15. Landis+Gyr
- 9.15.1. Quick Facts
- 9.15.2. Company Overview
- 9.15.3. Product Portfolio
- 9.15.4. Business Strategies
- 9.16. Megger Group
- 9.16.1. Quick Facts
- 9.16.2. Company Overview
- 9.16.3. Product Portfolio
- 9.16.4. Business Strategies
- 9.17. Oracle Corp.
- 9.17.1. Quick Facts
- 9.17.2. Company Overview
- 9.17.3. Product Portfolio
- 9.17.4. Business Strategies
- 9.18. SAP SE
- 9.18.1. Quick Facts
- 9.18.2. Company Overview
- 9.18.3. Product Portfolio
- 9.18.4. Business Strategies
- 9.19. SAS Institute Inc.
- 9.19.1. Quick Facts
- 9.19.2. Company Overview
- 9.19.3. Product Portfolio
- 9.19.4. Business Strategies
- 9.20. Schneider Electric
- 9.20.1. Quick Facts
- 9.20.2. Company Overview
- 9.20.3. Product Portfolio
- 9.20.4. Business Strategies
- 9.21. Sentient Energy, Inc.(Accurant International, LLC)
- 9.21.1. Quick Facts
- 9.21.2. Company Overview
- 9.21.3. Product Portfolio
- 9.21.4. Business Strategies
- 9.22. Siemens AG
- 9.22.1. Quick Facts
- 9.22.2. Company Overview
- 9.22.3. Product Portfolio
- 9.22.4. Business Strategies
- 9.23. Tantalus
- 9.23.1. Quick Facts
- 9.23.2. Company Overview
- 9.23.3. Product Portfolio
- 9.23.4. Business Strategies
- 9.24. Wipro Ltd.
- 9.24.1. Quick Facts
- 9.24.2. Company Overview
- 9.24.3. Product Portfolio
- 9.24.4. Business Strategies
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