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Smart Grid Market - Global Forecast 2025-2032

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    Report

  • 189 Pages
  • October 2025
  • Region: Global
  • 360iResearch™
  • ID: 6082561
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The smart grid market is undergoing rapid transformation as digital technologies and sustainable energy integration redefine the global power landscape. Senior decision-makers need clear, actionable insights to navigate regulatory shifts, technology evolution, and complex deployment dynamics in the industry.

Market Snapshot: Smart Grid Market Growth & Outlook

The Smart Grid Market grew from USD 89.87 billion in 2024 to USD 102.20 billion in 2025. It is expected to continue growing at a CAGR of 13.82%, reaching USD 253.18 billion by 2032.

Scope & Segmentation

  • Component
    • Communication Modules: Wired Communication, Wireless Communication
    • Controllers and Sensors: Intelligent Electronic Devices, Remote Terminal Units
    • Distribution Automation Devices: Automated Reclosing Devices, Feeder Automation Devices
    • Smart Meters: Advanced Smart Meters, Basic Smart Meters
    • Transmission Automation Devices: Control Switchgear, Protective Relays
  • Offering
    • Hardware: Communication Hardware, Control Hardware, Meter Hardware
    • Services: Consulting Services, Integration Services, Support and Maintenance
    • Software: Distribution Management Software, Energy Management Software, Outage Management Software, SCADA Software (Electrical SCADA, Telecom SCADA)
  • Application
    • Asset Management: Inventory Management, Predictive Maintenance
    • Demand Response Management: Real Time Pricing, Time of Use Pricing
    • Electric Vehicle Charging Infrastructure: AC Charging, DC Fast Charging
    • Outage Management: Fault Detection, Restoration Systems
    • Renewable Integration: Solar Integration, Wind Integration
    • Virtual Power Plant: Aggregation, Optimization
  • End User
    • Commercial and Industrial: Commercial Buildings, Industrial Plants
    • Residential: Multi Family, Single Family
    • Utilities: Distribution Utilities, Transmission Utilities
  • Technology
    • Artificial Intelligence: Deep Learning, Machine Learning
    • Big Data Analytics: Descriptive Analytics, Predictive Analytics, Prescriptive Analytics
    • Cloud: Private Cloud, Public Cloud
    • Cybersecurity: Endpoint Security, Network Security
    • IoT: Device IoT, Network IoT
  • Geography
    • Americas: United States, Canada, Mexico, Brazil, Argentina, Chile, Colombia, Peru
    • Europe, Middle East & Africa: United Kingdom, Germany, France, Russia, Italy, Spain, Netherlands, Sweden, Poland, Switzerland, United Arab Emirates, Saudi Arabia, Qatar, Turkey, Israel, South Africa, Nigeria, Egypt, Kenya
    • Asia-Pacific: China, India, Japan, Australia, South Korea, Indonesia, Thailand, Malaysia, Singapore, Taiwan

Major Players Covered

  • ABB Ltd
  • Siemens AG
  • Schneider Electric SE
  • General Electric Company
  • Itron, Inc.
  • Landis+Gyr AG
  • Cisco Systems, Inc.
  • Honeywell International Inc.
  • Eaton Corporation plc
  • Hitachi, Ltd

Key Takeaways

  • The convergence of digital and operational technologies is foundational, enabling utilities to achieve robust visibility and control across increasingly distributed networks.
  • Decentralization and the integration of renewables and electric vehicles are prompting infrastructure upgrades and the rollout of advanced grid automation solutions.
  • Stakeholder collaboration, from technology providers to regulators, is essential to navigate modernization challenges, regulatory mandates, and evolving use cases.
  • Innovative procurement strategies, as seen in response to tariff measures, are spurring supply chain resilience and encouraging localized manufacturing efforts.
  • Advanced analytics, artificial intelligence, and cloud platforms enable utilities and end users to optimize performance, manage risks, and unlock new value streams across the grid ecosystem.

Tariff Impact: US Measures and Global Supply Chain Shifts

Recent United States tariff measures on smart grid components have increased production costs and led to more diverse sourcing and nearshoring. Vendors are reshaping supply strategies in response, extending some project timelines but reinforcing overall manufacturing resilience. Over time, these adjustments may foster a more flexible and geographically responsive supply base for global smart grid adoption.

Methodology & Data Sources

This report uses a robust multimethod framework, combining interviews with utility executives, vendors, system integrators, and regulatory experts with thorough secondary data reviews. Market estimates and segment trends are validated through bottom-up and top-down analysis, ensuring quantitative rigor and actionable insights for stakeholders.

Why This Report Matters

  • Enables senior leaders to benchmark innovation strategies and prioritize investment based on transformative trends in smart grid modernization.
  • Supports informed decisions on technology adoption, risk management, and regulatory alignment in a rapidly evolving power industry.
  • Delivers actionable market intelligence for navigating diverse regional drivers and competitive dynamics in the global smart grid space.

Conclusion

Leaders who act on current insights will be well positioned to balance opportunity with resilience. Strategic deployment of digital technologies ensures the smart grid market delivers efficient, reliable, and sustainable energy solutions at scale.

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 distributed energy resources with real-time grid monitoring and control for improved reliability
5.2. Adoption of AI-driven predictive maintenance systems to reduce transformer and substation downtime
5.3. Deployment of end-to-end cybersecurity frameworks to protect grid communication and infrastructure
5.4. Growth of vehicle-to-grid platforms enabling dynamic energy trading and peak load management
5.5. Implementation of blockchain-enabled peer-to-peer energy trading among prosumers in microgrids
5.6. Expansion of edge computing solutions for decentralized demand response and load balancing
5.7. Integration of renewable energy forecasting tools using machine learning for grid stabilization
6. Cumulative Impact of United States Tariffs 2025
7. Cumulative Impact of Artificial Intelligence 2025
8. Smart Grid Market, by Component
8.1. Communication Modules
8.1.1. Wired Communication
8.1.2. Wireless Communication
8.2. Controllers And Sensors
8.2.1. Intelligent Electronic Devices
8.2.2. Remote Terminal Units
8.3. Distribution Automation Devices
8.3.1. Automated Reclosing Devices
8.3.2. Feeder Automation Devices
8.4. Smart Meters
8.4.1. Advanced Smart Meters
8.4.2. Basic Smart Meters
8.5. Transmission Automation Devices
8.5.1. Control Switchgear
8.5.2. Protective Relays
9. Smart Grid Market, by Offering
9.1. Hardware
9.1.1. Communication Hardware
9.1.2. Control Hardware
9.1.3. Meter Hardware
9.2. Services
9.2.1. Consulting Services
9.2.2. Integration Services
9.2.3. Support And Maintenance
9.3. Software
9.3.1. Distribution Management Software
9.3.2. Energy Management Software
9.3.3. Outage Management Software
9.3.4. SCADA Software
9.3.4.1. Electrical SCADA
9.3.4.2. Telecom SCADA
10. Smart Grid Market, by Application
10.1. Asset Management
10.1.1. Inventory Management
10.1.2. Predictive Maintenance
10.2. Demand Response Management
10.2.1. Real Time Pricing
10.2.2. Time Of Use Pricing
10.3. Electric Vehicle Charging Infrastructure
10.3.1. AC Charging
10.3.2. DC Fast Charging
10.4. Outage Management
10.4.1. Fault Detection
10.4.2. Restoration Systems
10.5. Renewable Integration
10.5.1. Solar Integration
10.5.2. Wind Integration
10.6. Virtual Power Plant
10.6.1. Aggregation
10.6.2. Optimization
11. Smart Grid Market, by End User
11.1. Commercial And Industrial
11.1.1. Commercial Buildings
11.1.2. Industrial Plants
11.2. Residential
11.2.1. Multi Family
11.2.2. Single Family
11.3. Utilities
11.3.1. Distribution Utilities
11.3.2. Transmission Utilities
12. Smart Grid Market, by Technology
12.1. Artificial Intelligence
12.1.1. Deep Learning
12.1.2. Machine Learning
12.2. Big Data Analytics
12.2.1. Descriptive Analytics
12.2.2. Predictive Analytics
12.2.3. Prescriptive Analytics
12.3. Cloud
12.3.1. Private Cloud
12.3.2. Public Cloud
12.4. Cybersecurity
12.4.1. Endpoint Security
12.4.2. Network Security
12.5. IoT
12.5.1. Device IoT
12.5.2. Network IoT
13. Smart Grid Market, by Region
13.1. Americas
13.1.1. North America
13.1.2. Latin America
13.2. Europe, Middle East & Africa
13.2.1. Europe
13.2.2. Middle East
13.2.3. Africa
13.3. Asia-Pacific
14. Smart Grid Market, by Group
14.1. ASEAN
14.2. GCC
14.3. European Union
14.4. BRICS
14.5. G7
14.6. NATO
15. Smart Grid Market, by Country
15.1. United States
15.2. Canada
15.3. Mexico
15.4. Brazil
15.5. United Kingdom
15.6. Germany
15.7. France
15.8. Russia
15.9. Italy
15.10. Spain
15.11. China
15.12. India
15.13. Japan
15.14. Australia
15.15. South Korea
16. Competitive Landscape
16.1. Market Share Analysis, 2024
16.2. FPNV Positioning Matrix, 2024
16.3. Competitive Analysis
16.3.1. ABB Ltd
16.3.2. Siemens AG
16.3.3. Schneider Electric SE
16.3.4. General Electric Company
16.3.5. Itron, Inc.
16.3.6. Landis+Gyr AG
16.3.7. Cisco Systems, Inc.
16.3.8. Honeywell International Inc.
16.3.9. Eaton Corporation plc
16.3.10. Hitachi, Ltd
List of Tables
List of Figures

Samples

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Companies Mentioned

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

Table Information