AI-Based Electrical Switchgear Market Report 2026

The ai-based electrical switchgear market size has grown strongly in recent years. It will grow from $27.53 billion in 2025 to $29.06 billion in 2026 at a compound annual growth rate (CAGR) of 5.6%. The growth in the historic period can be attributed to growing demand for reliable power distribution, rise in industrial automation adoption, increasing installation of traditional switchgear systems, expansion of grid modernization initiatives, early adoption of digital monitoring solutions.

The ai-based electrical switchgear market size is expected to see strong growth in the next few years. It will grow to $36.22 billion in 2030 at a compound annual growth rate (CAGR) of 5.7%. The growth in the forecast period can be attributed to rising deployment of AI driven power infrastructure, growing need for energy efficiency optimization, increasing investments in smart grid projects, expansion of autonomous electrical safety systems, growing integration of iot sensing in switchgear. Major trends in the forecast period include growing integration of predictive maintenance in switchgear, rising adoption of fault detection and self healing systems, increasing use of edge AI for real time grid monitoring, expansion of intelligent load management solutions, development of automated safety and protection mechanisms.

The anticipated rise in industrialization is poised to drive the growth of the AI-based electrical switchgear market in the foreseeable future. Industrialization involves the transformation of an economy from primarily agrarian and manual labor-based production to one characterized by mechanized manufacturing and increased technology utilization. In the context of industrialization, AI-based electrical switchgear plays a crucial role by monitoring the health of electrical equipment in real-time, predicting potential failures, and enabling preventive maintenance. As of January 2024, according to a report from the Federal Reserve Board, industrial production experienced a 0.1% increase, with a notable uptick of 0.2% in the production of consumer goods in December 2023. Additionally, manufacturing output saw a 0.1% increase, and mining output recorded a significant rise of 0.9% during the same period. This data underscores the impact of rising industrialization on various sectors, driving the need for advanced technologies such as AI-based electrical switchgear.

Leading companies in the AI-based electrical switchgear market are developing innovative solutions, such as digitally enabled switchgear, to provide customers with advanced features. Digitally enabled switchgear integrates digital technologies for enhanced monitoring, control, and automation. For example, in April 2025, Schneider Electric SE, a France-based energy management and digital automation company, launched the GenieEvo 31.5 kA medium-voltage switchgear. It features a pure-air insulating design with a vacuum circuit breaker rated for a high fault current of 31.5 kA (up from 25 kA) to improve safety and system resilience. Newly designed C-type bushings simplify installation while enhancing insulation, durability, and thermal management. Embedded IoT sensors continuously monitor thermal, environmental, and partial-discharge data, enabling AI-driven condition-based monitoring and predictive maintenance.

In July 2024, ABB Ltd., a Switzerland-based company specializing in automation and power technology solutions, entered into a strategic Memorandum of Understanding (MOU) with S&SYS, a supplier of shipbuilding equipment, to strengthen their collaboration in medium and low voltage switchgear and Power Management Systems for shipbuilding projects. As part of this enhanced partnership, the two companies also signed a Channel Partnership Agreement for ABB's medium voltage switchgear, specifically the UniGear ZS1 Marine version Power Parts. This collaboration supports ABB's strategy to expand its presence in the marine industry by providing innovative solutions. S&SYS, located in South Korea, focuses on IT solutions and system integration services.

Major companies operating in the ai-based electrical switchgear market are Hitachi Ltd, Siemens AG, General Electric Company, Schneider Electric, Mitsubishi Electric, ABB Ltd., Toshiba International Corporation, Eaton Corporation, Emerson Electric Co., Shenzhen Hankang Electric Automation Co. Ltd, Rockwell Automation Inc., Havells India Limited, Meidensha Corporation, Crompton Greaves Limited, Lucy Electric UK Ltd., G&W Electric, Main Systems Ltd, Jiangsu Daye Intelligent Electric Co. Ltd., SwitchGear Company NV, Lutron Electronics Company.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report’s Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

Tariffs on electronic components, semiconductors, and metal enclosures have increased manufacturing costs for AI-based electrical switchgear, disrupting supply chains and slowing deployment across industrial, commercial, and grid modernization projects. Asia-Pacific, with its dense manufacturing ecosystem, faces the most pronounced impact, particularly for medium and high voltage systems. However, tariffs are encouraging domestic production, localized sourcing, and innovation in AI-driven diagnostics and automation to reduce dependency on imported materials.

The AI-based electrical switchgear market research report is one of a series of new reports that provides AI-based electrical switchgear market statistics, including the AI-based electrical switchgear industry global market size, regional shares, competitors with an AI-based electrical switchgear market share, detailed AI-based electrical switchgear market segments, market trends and opportunities, and any further data you may need to thrive in the AI-based electrical switchgear industry. This AI-based electrical switchgear market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

AI-based electrical switchgear refers to advanced electrical switchgear systems that incorporate artificial intelligence (AI) to enhance their performance and capabilities. These systems find applications in various sectors, including energy, infrastructure, industrial buildings, and energy management.

The main types of AI-based electrical switchgear include low-voltage switchgear, medium-voltage switchgear, and high-voltage switchgear. Low-voltage switchgear is specifically designed to safely, efficiently, and reliably supply electric power at voltages up to 1,000 volts and currents up to 6,000 amperes. These switchgear installations can be either indoor or outdoor and are utilized by various end-users, including transmission and distribution utilities, commercial entities, industrial facilities, residential areas, and other sectors.North America was the largest region in the AI-based electrical switchgear market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the ai-based electrical switchgear market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the ai-based electrical switchgear market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The AI-based electrical switchgear market includes revenues earned by entities through relay protection, fault detection, monitoring and analysis, predictive maintenance, and energy optimization. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included. The AI-based electrical switchgear market consists of sales of AI-based power distribution and energy monitoring systems, condition monitoring devices, intelligent circuit breakers, smart sensors and actuators, and self-healing grid systems. 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.

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.

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