Edge AI In Smart Grids Market Report 2026: $48.91 Bn Opportunities, Trends, Competitive Landscape, Strategies, And Forecasts, 2020-2025, 2025-2030F, 2035F

(MENAFN- GlobeNewsWire - Nasdaq) Key market opportunities in edge AI for smart grids include leveraging predictive analytics and AI-driven grid management to enhance energy efficiency and reliability. The rise in renewable energy, smart meters, and industrial IoT integration drives growth, while innovations in real-time monitoring and local processing present further potential.

Dublin, April 14, 2026 (GLOBE NEWSWIRE) -- The "Edge AI in Smart Grids Market Report 2026" has been added to ResearchAndMarkets's offering.

The edge artificial intelligence (AI) in smart grids market is experiencing remarkable growth, projected to surge from $15.49 billion in 2025 to $19.46 billion in 2026, reflecting a compound annual growth rate (CAGR) of 25.7%.

This growth is driven by increasing grid failures, heightened energy efficiency demands, rising renewable energy integration, smart meter proliferation, and industrial IoT adoption within utilities. In the foreseeable future, the edge AI market in smart grids is anticipated to reach $48.91 billion by 2030, with a CAGR of 25.9%, powered by edge AI deployment for predictive analytics, intelligent relay deployment, and AI-driven grid management solutions.

Increased energy demand, influenced by population growth, underpins this market expansion. By processing data locally and in real time, edge AI in smart grids boosts energy management, enabling rapid decision-making, minimizing energy loss, and optimizing renewable energy integration. Notably, the International Energy Agency reported a 1.4% increase in net electricity generation reaching 922.6 TWh in June 2025 within OECD countries, exemplifying this trend.

Leading firms in the edge AI smart grids sector are pioneering AI-enabled IoT edge compute cellular gateways for real-time monitoring, automated control, and energy distribution optimization. For instance, Lantronix Inc. introduced its SmartLV Gateway in October 2024, facilitating low-voltage substation management in smart grids with capabilities including real-time automation and multi-protocol connectivity. In March 2025, Bidgely Inc. acquired Grid4C, enhancing its UtilityAI platform with enhanced grid-side intelligence, customer engagement, and load forecasting.

Prominent companies in the industry include Siemens AG, Hitachi Energy Ltd., NVIDIA Corporation, Intel Corporation, Schneider Electric SE, Qualcomm Technologies Inc., and many more. The imposition of tariffs has impacted the market by escalating costs of imported edge computing devices and sensors, affecting hardware components and software-integrated solutions especially in North America and Europe. This has propelled a shift toward local suppliers, driving innovation in cost-effective edge AI solutions.

Edge AI in smart grids involves integrated hardware, software, and services. Hardware comprises sensors and communication modules for real-time data collection and AI processing. Solutions are deployed via on-premises and cloud models across applications like grid management and distributed energy resource management. Primary users include electric utilities, industrial facilities, and smart city projects. The market encapsulates revenues from providing services like edge AI model development and energy load forecasting. Market value includes the factory gate value of goods sold directly or via distribution channels.

This comprehensive report on the edge artificial intelligence (AI) in smart grids market offers detailed insights, including industry size, regional shares, competitor analyses, and market trends, equipping stakeholders with the knowledge needed to thrive in the industry.

Key Attributes:

Report Attribute	Details
No. of Pages	250
Forecast Period	2026 - 2030
Estimated Market Value (USD) in 2026	$19.46 Billion
Forecasted Market Value (USD) by 2030	$48.91 Billion
Compound Annual Growth Rate	25.9%
Regions Covered	Global

Market Scope

• Component: Hardware, Software, Services
• Deployment Model: On-Premises, Cloud-Based
• Solution Type: Edge Intelligence Platforms, Real-Time Grid Analytics, Predictive Maintenance Solutions, AI-Driven Control and Automation, Cybersecurity Services
• Application: Grid Management, Asset Management, AMI, Distributed Energy Resource Management
• End-User Industries: Electric Utilities, Industrial Facilities, Commercial Energy Operators, Smart City Projects
• Siemens AG, Hitachi Energy Ltd., NVIDIA Corporation, Intel Corporation, Schneider Electric SE, Qualcomm Technologies Inc., GE Vernova, ABB Ltd., Hewlett Packard Enterprise Company, among others.
• Countries: Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

Key Technologies & Future Trends

• Artificial Intelligence & Autonomous Intelligence
• Internet Of Things (IoT), Smart Infrastructure & Connected Ecosystems
• Digitalization, Cloud, Big Data & Cybersecurity
• Sustainability, Climate Tech & Circular Economy
• Industry 4.0 & Intelligent Manufacturing
• Edge Ai-Driven Grid Optimization
• Real-Time Energy Load Forecasting
• Predictive Maintenance and Asset Monitoring
• Integration Of Smart Sensors and Edge Devices
• Energy Management and Operational Efficiency

Companies Featured

• Siemens AG
• Hitachi Energy Ltd.
• NVIDIA Corporation
• Intel Corporation
• Schneider Electric SE
• Qualcomm Technologies Inc.
• GE Vernova
• ABB Ltd.
• Hewlett Packard Enterprise Company
• Beckwith Electric Co Inc.
• Itron Inc.
• Advantech Co. Ltd.
• Schweitzer Engineering Laboratories Inc.
• C3 Inc.
• SparkCognition Inc.
• Lantronix Inc.
• Uplight Inc.
• Utilidata Inc
• Smarter Grid Solutions Ltd.
• ClearBlade Inc.

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• Edge AI in Smart Grids Market

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