+353-1-416-8900REST OF WORLD
+44-20-3973-8888REST OF WORLD
1-917-300-0470EAST COAST U.S
1-800-526-8630U.S. (TOLL FREE)
Sale

Smart Grid Analytics Market - Global Forecast 2025-2032

  • PDF Icon

    Report

  • 197 Pages
  • October 2025
  • Region: Global
  • 360iResearch™
  • ID: 6013674
UP TO OFF until Jan 01st 2026
1h Free Analyst Time
1h Free Analyst Time

Speak directly to the analyst to clarify any post sales queries you may have.

Smart grid analytics are redefining how utilities and grid operators respond to the complexities of modern energy systems, using actionable data to enhance grid resilience, streamline operations, and support regulatory compliance in a rapidly changing energy environment.

Market Snapshot: Smart Grid Analytics Market Overview

The smart grid analytics market continues to expand as organizations in North America, Europe, and Asia-Pacific strengthen their investments in digital grid infrastructure. Growth in this segment is propelled by steady advancements in machine learning, grid-edge technology integration, and a focus on sustainability. Regulatory agendas, digitalization projects, and the proliferation of distributed energy resources all contribute to rising adoption rates. Leading technology vendors now enable utilities to leverage analytics platforms for both real-time operational control and proactive customer engagement, creating new value streams across a diverse spectrum of utility and grid operator profiles.

Scope & Segmentation of the Smart Grid Analytics Market

  • Applications: Asset performance management spans lines, substations, switchgear, and transformers. Demand response management addresses commercial, industrial, residential, and microgrid requirements. Distribution management covers advanced distribution systems, volt-var optimization, and conservation voltage reduction. Energy theft detection makes use of advanced analytics and AMI-based platforms. Network analytics support grid planning, load forecasting, and power quality monitoring. Outage management targets service restoration and efficient fault location isolation.
  • Components: Services include consulting, integration, support, and maintenance. Software offerings consist of analytics engines, GIS integration, SCADA, mobile solutions, and visualization interfaces.
  • Deployment Modes: Cloud deployments are available in hybrid, private, and public configurations. On-premise solutions support both Linux-based and Windows-based infrastructure.
  • End Users: Cooperative utilities focus on both distribution and generation. Distribution operators serve municipal and private clients. Investor-owned utilities oversee distribution and transmission responsibilities. Public power utilities are managed by municipal and state authorities, while transmission operators include independent system operators.
  • Regional Coverage: The Americas market includes the United States, Canada, Mexico, Brazil, Argentina, Chile, Colombia, and Peru. Europe, Middle East & Africa incorporates the UK, Germany, France, Russia, Italy, Spain, Netherlands, Sweden, Poland, Switzerland, UAE, Saudi Arabia, Qatar, Turkey, Israel, South Africa, Nigeria, Egypt, and Kenya. Asia-Pacific spans China, India, Japan, Australia, South Korea, Indonesia, Thailand, Malaysia, Singapore, and Taiwan.
  • Key Companies: Leading organizations in this market comprise General Electric Company, Siemens AG, International Business Machines Corporation, Schneider Electric SE, Honeywell International Inc., ABB Ltd, Oracle Corporation, Itron, Inc., Landis+Gyr AG, and Cisco Systems, Inc.

Key Takeaways for Senior Decision-Makers

  • Analytics platforms are now central to grid operations, enabling greater resilience, enhanced network visibility, and advanced orchestration of distributed energy assets.
  • Utilities increasingly build explainable and auditable analytics frameworks to meet evolving regulatory and reliability mandates, supporting transparency in reporting and grid management.
  • Integration of machine learning supports asset performance, predictive maintenance, and demand response, facilitating proactive management and minimizing outage risks.
  • Organizations favor modular, interoperable analytics architectures, ensuring seamless compatibility with both established and next-generation systems for long-term adaptability.
  • Expanded vendor partnerships and service-driven deployment models are essential for supporting broad rollouts, enabling utilities to adapt quickly to evolving technology and regulatory conditions.
  • Regional dynamics shape analytics investment strategies, with compliance initiatives prioritized in Europe and renewable integration gaining momentum in Asia-Pacific markets.

Tariff Impact on Procurement, Vendor Choices, and Deployment Strategies

  • Tariff adjustments are leading utilities to modify sourcing strategies, diversify their vendor base, and rework smart grid deployment schedules to mitigate risk.
  • There is a pronounced move toward software-centric solutions and adoption of interoperable standards, which help organizations manage hardware-related uncertainties in cost and availability.
  • Vendors are updating sourcing practices, qualifying new suppliers, and increasing local manufacturing to secure supply chains and maintain deployment continuity.

Methodology & Data Sources

This analysis is built on structured interviews with utility leaders, system integrators, and technology providers. Insights are reinforced by technical case studies, standards review, and operational data analysis—resulting in well-rounded, validated findings.

Why This Report Matters

  • Senior leaders can align smart grid analytics strategies with regulatory, operational, and long-term business goals using this research as a practical guide.
  • The report details actionable strategies for managing technological evolution and mitigating supply chain risks across a range of utility profiles within dynamic markets.
  • Insights support effective vendor evaluation and investment prioritization, informed by emerging trends and best practices for integration and deployment.

Conclusion

Smart grid analytics are crucial to meeting utility modernization goals and supporting resilient, adaptive grid operations. Targeted enterprise-scale investments and robust governance are critical for navigating evolving market challenges and achieving reliable long-term outcomes.

 

Additional Product Information:

  • Purchase of this report includes 1 year online access with quarterly updates.
  • This report can be updated on request. Please contact our Customer Experience team using the Ask a Question widget on our website.

Table of Contents

1. Preface
1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Stakeholders
2. Research Methodology
3. Executive Summary
4. Market Overview
5. Market Insights
5.1. Integration of AI-driven load forecasting and real-time grid optimization algorithms for improved efficiency
5.2. Deployment of advanced AMI data analytics platforms to enhance outage prediction and response
5.3. Implementation of edge computing solutions for low-latency processing of distributed energy resource data
5.4. Adoption of blockchain-based energy transactions for secure peer-to-peer power trading networks
5.5. Utilization of digital twins for predictive maintenance and resilience modeling in smart grid infrastructure
5.6. Expansion of multi-energy system analytics combining electricity, gas, heat, and storage for holistic optimization
5.7. Application of machine learning for anomaly detection in grid cybersecurity and threat mitigation strategies
5.8. Integration of electric vehicle charging data analytics to balance load demands and grid stability
5.9. Deployment of cloud-native platforms for scalable smart grid data management and remote monitoring solutions
5.10. Enhancement of renewable integration forecasting using deep learning combined with high-resolution weather simulations
6. Cumulative Impact of United States Tariffs 2025
7. Cumulative Impact of Artificial Intelligence 2025
8. Smart Grid Analytics Market, by Application
8.1. Asset Performance Management
8.1.1. Lines
8.1.2. Substations
8.1.3. Switchgear
8.1.4. Transformers
8.2. Demand Response Management
8.2.1. Commercial Industrial
8.2.2. Microgrid
8.2.3. Residential
8.3. Distribution Management
8.3.1. Advanced Distribution Management System
8.3.2. Conservation Voltage Reduction
8.3.3. Volt Var Optimization
8.4. Energy Theft Detection
8.4.1. Advanced Analytical Models
8.4.2. Ami Based Detection
8.5. Network Analytics
8.5.1. Grid Planning Analytics
8.5.2. Load Forecasting
8.5.3. Power Quality Analytics
8.6. Outage Management
8.6.1. Crew Management
8.6.2. Fault Location Isolation Service Restoration
8.6.3. Service Restoration
9. Smart Grid Analytics Market, by Component
9.1. Services
9.1.1. Consulting
9.1.2. Integration
9.1.3. Support and Maintenance
9.2. Software
9.2.1. Analytics Software
9.2.2. Gis Integration
9.2.3. Mobile Solutions
9.2.4. Scada Integration
9.2.5. Visualization Tools
10. Smart Grid Analytics Market, by Deployment Mode
10.1. Cloud
10.1.1. Hybrid Cloud
10.1.2. Private Cloud
10.1.3. Public Cloud
10.2. On Premise
10.2.1. Linux Based
10.2.2. Windows Based
11. Smart Grid Analytics Market, by End User
11.1. Cooperative Utilities
11.1.1. Distribution Cooperatives
11.1.2. Generation Cooperatives
11.2. Distribution Operators
11.2.1. Municipal Distribution Operators
11.2.2. Private Distribution Operators
11.3. Investor Owned Utilities
11.3.1. Distribution Utilities
11.3.2. Transmission Utilities
11.4. Public Power Utilities
11.4.1. Municipal Utilities
11.4.2. State Utilities
11.5. Transmission Operators
11.5.1. Independent System Operators
11.5.2. Regional Transmission Organizations
12. Smart Grid Analytics Market, by Region
12.1. Americas
12.1.1. North America
12.1.2. Latin America
12.2. Europe, Middle East & Africa
12.2.1. Europe
12.2.2. Middle East
12.2.3. Africa
12.3. Asia-Pacific
13. Smart Grid Analytics Market, by Group
13.1. ASEAN
13.2. GCC
13.3. European Union
13.4. BRICS
13.5. G7
13.6. NATO
14. Smart Grid Analytics Market, by Country
14.1. United States
14.2. Canada
14.3. Mexico
14.4. Brazil
14.5. United Kingdom
14.6. Germany
14.7. France
14.8. Russia
14.9. Italy
14.10. Spain
14.11. China
14.12. India
14.13. Japan
14.14. Australia
14.15. South Korea
15. Competitive Landscape
15.1. Market Share Analysis, 2024
15.2. FPNV Positioning Matrix, 2024
15.3. Competitive Analysis
15.3.1. General Electric Company
15.3.2. Siemens AG
15.3.3. International Business Machines Corporation
15.3.4. Schneider Electric SE
15.3.5. Honeywell International Inc.
15.3.6. ABB Ltd
15.3.7. Oracle Corporation
15.3.8. Itron, Inc.
15.3.9. Landis+Gyr AG
15.3.10. Cisco Systems, Inc.

Samples

Loading
LOADING...

Companies Mentioned

The key companies profiled in this Smart Grid Analytics market report include:
  • General Electric Company
  • Siemens AG
  • International Business Machines Corporation
  • Schneider Electric SE
  • Honeywell International Inc.
  • ABB Ltd
  • Oracle Corporation
  • Itron, Inc.
  • Landis+Gyr AG
  • Cisco Systems, Inc.

Table Information