Edge Artificial Intelligence (AI) In Smart Grids Market Report 2026

Edge Artificial Intelligence (AI) In Smart Grids Market Overview

• Edge Artificial Intelligence (AI) In Smart Grids market size has reached to $15.49 billion in 2025 • Expected to grow to $48.91 billion in 2030 at a compound annual growth rate (CAGR) of 25.9% • Growth Driver: The Rise In Energy Demand Driving The Growth Of The Market Due To Increasing Consumption And Population Growth • Market Trend: Innovative AI-Powered Gateways Transform Real-Time Grid Monitoring And Energy Management • North America was the largest region in 2025 and Asia-Pacific is the fastest growing region.

The key promising market opportunities in the edge artificial intelligence (ai) in smart grids market include: • Hardware (Segmentation By Component) → Expected gain of $11.7 Billion • Software (Segmentation By Component) → Expected gain of $11.28 Billion • Services (Segmentation By Component) → Expected gain of $9.73 Billion

What Is Covered Under Edge Artificial Intelligence (AI) In Smart Grids Market?

Edge artificial intelligence in smart grids refers to a set of coordinated energy management and grid intelligence initiatives aimed at improving power reliability, efficiency, and operational sustainability by applying artificial intelligence directly at the edge of electricity networks. These solutions typically involve the integration of edge computing devices, machine learning models, and real-time analytics to enable utilities and industrial operators to monitor, control, and optimize grid performance more efficiently. The main components of edge artificial intelligence (AI) in smart grids are hardware, software, and services. Hardware refers to physical devices and equipment, such as sensors, edge servers, and communication modules, that enable real-time data collection, processing, and AI computation at the edge of the smart grid network. These solutions are deployed through on-premises and cloud-based deployment models. They include various solution types, such as edge intelligence platforms, real-time grid analytics solutions, predictive maintenance solutions, AI-driven control and automation services, and cybersecurity and risk management services. The solutions are used across multiple applications, including grid management, asset management, advanced metering infrastructure (AMI), distributed energy resource management, and other applications, and serve different end-user industries, such as electric utilities, industrial facilities, commercial energy operators, and smart city and infrastructure projects.

What Is The Edge Artificial Intelligence (AI) In Smart Grids Market Growth Forecast?

The edge artificial intelligence (AI) in smart grids market size is expected to see exponential growth in the next few years. It will grow to $48.91 billion in 2030 at a compound annual growth rate (CAGR) of 25.9%. The growth in the forecast period can be attributed to implementation of edge ai for predictive analytics, deployment of intelligent relays and processing units, adoption of ai-driven grid management solutions, increasing investment in cybersecurity for smart grids, expansion of distributed energy resource management. Major trends in the forecast period include 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.

What Is The Driver Of The Edge Artificial Intelligence (AI) In Smart Grids Market?

The rising energy demand is expected to propel the growth of edge artificial intelligence (AI) in the smart grids market going forward. Energy demand is the total amount of energy required by consumers, industries, and services to perform work, power devices, and meet daily needs over a specific period. Rising energy demand is due to population growth, as a larger population increases the need for electricity, transportation, heating, and other energy-intensive services. Edge artificial intelligence in smart grids enhances energy management by processing data locally in real time, enabling faster decision-making, reducing energy losses, and optimizing the integration of renewable sources for more efficient and reliable power delivery. For instance, in September 2025, according to the International Energy Agency, a US-based intergovernmental organization, total net electricity generation in the OECD reached 922.6 TWh in June, marking a 1.4% increase compared to June 2024. Therefore, the rising energy demand is driving the growth of edge artificial intelligence (AI) in the smart grids market.

How Will The Drivers Impact Growth In The Global Edge Artificial Intelligence (AI) In Smart Grids Market?

• Increasing Investment In Edge AI Technologies (High) – During the forecast period, the increasing investment in edge AI technologies is expected to become a key growth driver for the edge artificial intelligence (AI) in smart grids market by 2030. Utilities and energy companies are allocating substantial capital toward deploying AI-enabled edge computing infrastructure to enhance localized data processing and reduce dependency on centralized systems. These investments are accelerating the integration of intelligent edge nodes capable of performing advanced analytics directly at substations and grid endpoints. The shift toward distributed intelligence is improving operational agility, minimizing latency, and enabling faster decision-making in complex grid environments. • Growing Expansion Of Decentralized Power Systems (High) – During the forecast period, the growing expansion of decentralized power systems is expected to emerge as a major factor driving the expansion of the edge artificial intelligence (AI) in smart grids market by 2030. The rising adoption of microgrids, rooftop solar installations, and localized energy generation is transforming traditional grid architectures into more distributed networks. This evolution necessitates intelligent coordination and autonomous control at the edge to efficiently balance supply and demand across multiple nodes. Edge AI solutions are enabling seamless integration and optimization of these decentralized assets, ensuring stability and reliability in increasingly fragmented energy systems. • Rising Demand For Real-Time Grid Intelligence (Medium) – During the forecast period, the rising demand for real-time grid intelligence is expected to act as a key growth catalyst for the edge artificial intelligence (AI) in smart grids market by 2030. Grid operators are increasingly requiring instantaneous insights to manage fluctuations in power flow, detect anomalies, and respond proactively to system disturbances. Edge AI facilitates continuous monitoring and on-site data analysis, allowing utilities to achieve faster response times and improved situational awareness. This capability is becoming critical as energy consumption patterns grow more dynamic and unpredictable.

How Will The Restraints Impact Growth In The Global Edge Artificial Intelligence (AI) In Smart Grids Market?

• High Implementation Costs (High) – During the forecast period, high implementation costs are restricting the growth of the edge artificial intelligence (AI) in smart grids market. Significant investments required for edge devices, advanced analytics infrastructure, and grid modernization are increasing capital expenditure, thereby limiting adoption particularly among utilities with constrained budgets • Limited Availability Of Skilled Workforce (High) – During the forecast period, limited availability of skilled workforce is restricting the growth of the edge artificial intelligence (AI) in smart grids market. Shortage of professionals with expertise in AI, edge computing, and power systems is creating operational challenges and slowing effective deployment of intelligent grid solutions • Regulatory And Compliance Challenges (Medium) – During the forecast period, regulatory and compliance challenges are restricting the growth of the edge artificial intelligence (AI) in smart grids market. Evolving energy regulations, data privacy requirements, and grid security standards are creating compliance complexities and delaying implementation across regions

Key Players In The Global Edge Artificial Intelligence (AI) In Smart Grids Market

Major companies operating in the edge artificial intelligence (AI) in smart grids market are 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.ai Inc., SparkCognition Inc., Lantronix Inc., Uplight Inc., Utilidata Inc, Smarter Grid Solutions Ltd., ClearBlade Inc.

Global Edge Artificial Intelligence (AI) In Smart Grids Market Trends and Insights

Major companies operating in the edge artificial intelligence (AI) in smart grids market are focusing on developing innovative solutions, such as AI-enabled IoT edge compute cellular gateways, to enable real-time grid monitoring, automated decision-making, and optimized energy distribution. An AI-enabled IoT edge compute cellular gateway is a device that processes data locally at the network edge using AI, connects IoT devices, and transmits insights over cellular networks for real-time monitoring and control. For instance, in October 2024, Lantronix Inc., a US-based technology company, launched the SmartLV Gateway. This AI-enabled IoT Edge Compute Cellular Gateway is designed specifically for low-voltage substations in smart grid and industrial applications. The SmartLV Gateway provides real-time control, automation, and energy management. It features edge AI capabilities, multi-protocol integration, and advanced cybersecurity measures. Equipped with LTE and 5G connectivity, the SmartLV Gateway allows for reliable remote operations while reducing dependence on centralized cloud systems by processing data locally at the edge. It integrates seamlessly with existing infrastructure, enabling utilities and industrial operators to optimize energy distribution, enhance operational efficiency, and strengthen grid resiliency.

What Are Latest Mergers And Acquisitions In The Edge Artificial Intelligence (AI) In Smart Grids Market?

In March 2025, Bidgely Inc., a US‑based technology company, acquired Grid4C for an undisclosed amount. With this acquisition, Bidgely aims to accelerate its AI‑powered energy analytics capabilities and expand its UtilityAI platform to deliver enhanced grid‑side management, customer engagement, fault detection, and DER or load forecasting functionalities. Grid4C Inc. is a US‑based technology company that specializes in providing edge artificial intelligence (AI) solutions for smart grids.

What Defines the Edge Artificial Intelligence (AI) In Smart Grids Market?

The edge artificial intelligence (AI) in smart grids market consists of revenues earned by entities by providing services such as edge artificial intelligence model development, edge device integration services, real-time grid monitoring services, predictive maintenance services, and energy load forecasting services. The market value includes the value of related goods sold by the service provider or included within the service offering. The edge artificial intelligence (AI) in smart grids market also includes sales of edge artificial intelligence processors, smart sensors, intelligent relays, edge gateways, industrial IoT controllers, smart meters, and embedded artificial intelligence modules. Values in this market are ‘factory gate’ values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

How is Market Value Defined and Measured?

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified). The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

What Key Data and Analysis Are Included in the Edge Artificial Intelligence (AI) In Smart Grids Market Report 2026?

The edge artificial intelligence (ai) in smart grids market research report is one of a series of new reports from The Business Research Company that provides market statistics, including industry global market size, regional shares, competitors with the market share, detailed market segments, market trends and opportunities, and any further data you may need to thrive in the edge artificial intelligence (ai) in smart grids industry. The market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future state of the industry.