Global Transformer for AI Data Centers Market 2025 by Manufacturers, Regions, Type and Application, Forecast to 2031
Description
According to our (Global Info Research) latest study, the global Transformer for AI Data Centers market size was valued at US$ 312 million in 2024 and is forecast to a readjusted size of USD 1396 million by 2031 with a CAGR of 20.5% during review period.
In this report, we will assess the current U.S. tariff framework alongside international policy adaptations, analyzing their effects on competitive market structures, regional economic dynamics, and supply chain resilience.
Transformer for AI Data Centers is a critical electrical component designed to handle high power demands and ensure reliable voltage regulation for high-density server environments. AI workloads typically require higher computational capacity, resulting in increased power consumption and more stringent power quality requirements. These transformers support the conversion of incoming utility power to the appropriate voltage levels needed for data center equipment, while maintaining energy efficiency, low losses, and high thermal stability. Transformers used in AI data centers must be optimized for continuous operation, scalability, and integration with power distribution systems like UPS and PDUs. Their robust design helps ensure uninterrupted operation of GPUs, CPUs, and storage systems in AI training and inference clusters.
This report is a detailed and comprehensive analysis for global Transformer for AI Data Centers market. Both quantitative and qualitative analyses are presented by manufacturers, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2025, are provided.
Key Features:
Global Transformer for AI Data Centers market size and forecasts, in consumption value ($ Million), sales quantity (Units), and average selling prices (US$/Unit), 2020-2031
Global Transformer for AI Data Centers market size and forecasts by region and country, in consumption value ($ Million), sales quantity (Units), and average selling prices (US$/Unit), 2020-2031
Global Transformer for AI Data Centers market size and forecasts, by Type and by Application, in consumption value ($ Million), sales quantity (Units), and average selling prices (US$/Unit), 2020-2031
Global Transformer for AI Data Centers market shares of main players, shipments in revenue ($ Million), sales quantity (Units), and ASP (US$/Unit), 2020-2025
The Primary Objectives in This Report Are:
To determine the size of the total market opportunity of global and key countries
To assess the growth potential for Transformer for AI Data Centers
To forecast future growth in each product and end-use market
To assess competitive factors affecting the marketplace
This report profiles key players in the global Transformer for AI Data Centers market based on the following parameters - company overview, sales quantity, revenue, price, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include Hitachi Energy, Siemens Energy, Eaton, Eaglerise Electric and Electronic (China) Co., Ltd., Guangdong Mingyang Electric Co., Ltd., TMC Transformers, Hyosung Heavy Industries, Schneider Electric, GE, Hainan Jinpan Smart Technology Co., Ltd., etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.
Market Segmentation
Transformer for AI Data Centers market is split by Type and by Application. For the period 2020-2031, the growth among segments provides accurate calculations and forecasts for consumption value by Type, and by Application in terms of volume and value. This analysis can help you expand your business by targeting qualified niche markets.
Market segment by Type
Dry-type Transformer
Oil-immersed Transformer
Market segment by Application
Main Substation
Equipment Room Power Distribution Unit
Major players covered
Hitachi Energy
Siemens Energy
Eaton
Eaglerise Electric and Electronic (China) Co., Ltd.
Guangdong Mingyang Electric Co., Ltd.
TMC Transformers
Hyosung Heavy Industries
Schneider Electric
GE
Hainan Jinpan Smart Technology Co., Ltd.
TBEA Co., Ltd.
Guangdong Shunna Electric Co.,Ltd.
Virginia Transformer
Market segment by region, regional analysis covers
North America (United States, Canada, and Mexico)
Europe (Germany, France, United Kingdom, Russia, Italy, and Rest of Europe)
Asia-Pacific (China, Japan, Korea, India, Southeast Asia, and Australia)
South America (Brazil, Argentina, Colombia, and Rest of South America)
Middle East & Africa (Saudi Arabia, UAE, Egypt, South Africa, and Rest of Middle East & Africa)
The content of the study subjects, includes a total of 15 chapters:
Chapter 1, to describe Transformer for AI Data Centers product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top manufacturers of Transformer for AI Data Centers, with price, sales quantity, revenue, and global market share of Transformer for AI Data Centers from 2020 to 2025.
Chapter 3, the Transformer for AI Data Centers competitive situation, sales quantity, revenue, and global market share of top manufacturers are analyzed emphatically by landscape contrast.
Chapter 4, the Transformer for AI Data Centers breakdown data are shown at the regional level, to show the sales quantity, consumption value, and growth by regions, from 2020 to 2031.
Chapter 5 and 6, to segment the sales by Type and by Application, with sales market share and growth rate by Type, by Application, from 2020 to 2031.
Chapter 7, 8, 9, 10 and 11, to break the sales data at the country level, with sales quantity, consumption value, and market share for key countries in the world, from 2020 to 2025.and Transformer for AI Data Centers market forecast, by regions, by Type, and by Application, with sales and revenue, from 2026 to 2031.
Chapter 12, market dynamics, drivers, restraints, trends, and Porters Five Forces analysis.
Chapter 13, the key raw materials and key suppliers, and industry chain of Transformer for AI Data Centers.
Chapter 14 and 15, to describe Transformer for AI Data Centers sales channel, distributors, customers, research findings and conclusion.
In this report, we will assess the current U.S. tariff framework alongside international policy adaptations, analyzing their effects on competitive market structures, regional economic dynamics, and supply chain resilience.
Transformer for AI Data Centers is a critical electrical component designed to handle high power demands and ensure reliable voltage regulation for high-density server environments. AI workloads typically require higher computational capacity, resulting in increased power consumption and more stringent power quality requirements. These transformers support the conversion of incoming utility power to the appropriate voltage levels needed for data center equipment, while maintaining energy efficiency, low losses, and high thermal stability. Transformers used in AI data centers must be optimized for continuous operation, scalability, and integration with power distribution systems like UPS and PDUs. Their robust design helps ensure uninterrupted operation of GPUs, CPUs, and storage systems in AI training and inference clusters.
This report is a detailed and comprehensive analysis for global Transformer for AI Data Centers market. Both quantitative and qualitative analyses are presented by manufacturers, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2025, are provided.
Key Features:
Global Transformer for AI Data Centers market size and forecasts, in consumption value ($ Million), sales quantity (Units), and average selling prices (US$/Unit), 2020-2031
Global Transformer for AI Data Centers market size and forecasts by region and country, in consumption value ($ Million), sales quantity (Units), and average selling prices (US$/Unit), 2020-2031
Global Transformer for AI Data Centers market size and forecasts, by Type and by Application, in consumption value ($ Million), sales quantity (Units), and average selling prices (US$/Unit), 2020-2031
Global Transformer for AI Data Centers market shares of main players, shipments in revenue ($ Million), sales quantity (Units), and ASP (US$/Unit), 2020-2025
The Primary Objectives in This Report Are:
To determine the size of the total market opportunity of global and key countries
To assess the growth potential for Transformer for AI Data Centers
To forecast future growth in each product and end-use market
To assess competitive factors affecting the marketplace
This report profiles key players in the global Transformer for AI Data Centers market based on the following parameters - company overview, sales quantity, revenue, price, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include Hitachi Energy, Siemens Energy, Eaton, Eaglerise Electric and Electronic (China) Co., Ltd., Guangdong Mingyang Electric Co., Ltd., TMC Transformers, Hyosung Heavy Industries, Schneider Electric, GE, Hainan Jinpan Smart Technology Co., Ltd., etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.
Market Segmentation
Transformer for AI Data Centers market is split by Type and by Application. For the period 2020-2031, the growth among segments provides accurate calculations and forecasts for consumption value by Type, and by Application in terms of volume and value. This analysis can help you expand your business by targeting qualified niche markets.
Market segment by Type
Dry-type Transformer
Oil-immersed Transformer
Market segment by Application
Main Substation
Equipment Room Power Distribution Unit
Major players covered
Hitachi Energy
Siemens Energy
Eaton
Eaglerise Electric and Electronic (China) Co., Ltd.
Guangdong Mingyang Electric Co., Ltd.
TMC Transformers
Hyosung Heavy Industries
Schneider Electric
GE
Hainan Jinpan Smart Technology Co., Ltd.
TBEA Co., Ltd.
Guangdong Shunna Electric Co.,Ltd.
Virginia Transformer
Market segment by region, regional analysis covers
North America (United States, Canada, and Mexico)
Europe (Germany, France, United Kingdom, Russia, Italy, and Rest of Europe)
Asia-Pacific (China, Japan, Korea, India, Southeast Asia, and Australia)
South America (Brazil, Argentina, Colombia, and Rest of South America)
Middle East & Africa (Saudi Arabia, UAE, Egypt, South Africa, and Rest of Middle East & Africa)
The content of the study subjects, includes a total of 15 chapters:
Chapter 1, to describe Transformer for AI Data Centers product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top manufacturers of Transformer for AI Data Centers, with price, sales quantity, revenue, and global market share of Transformer for AI Data Centers from 2020 to 2025.
Chapter 3, the Transformer for AI Data Centers competitive situation, sales quantity, revenue, and global market share of top manufacturers are analyzed emphatically by landscape contrast.
Chapter 4, the Transformer for AI Data Centers breakdown data are shown at the regional level, to show the sales quantity, consumption value, and growth by regions, from 2020 to 2031.
Chapter 5 and 6, to segment the sales by Type and by Application, with sales market share and growth rate by Type, by Application, from 2020 to 2031.
Chapter 7, 8, 9, 10 and 11, to break the sales data at the country level, with sales quantity, consumption value, and market share for key countries in the world, from 2020 to 2025.and Transformer for AI Data Centers market forecast, by regions, by Type, and by Application, with sales and revenue, from 2026 to 2031.
Chapter 12, market dynamics, drivers, restraints, trends, and Porters Five Forces analysis.
Chapter 13, the key raw materials and key suppliers, and industry chain of Transformer for AI Data Centers.
Chapter 14 and 15, to describe Transformer for AI Data Centers sales channel, distributors, customers, research findings and conclusion.
Table of Contents
108 Pages
- 1 Market Overview
- 2 Manufacturers Profiles
- 3 Competitive Environment: Transformer for AI Data Centers by Manufacturer
- 4 Consumption Analysis by Region
- 5 Market Segment by Type
- 6 Market Segment by Application
- 7 North America
- 8 Europe
- 9 Asia-Pacific
- 10 South America
- 11 Middle East & Africa
- 12 Market Dynamics
- 13 Raw Material and Industry Chain
- 14 Shipments by Distribution Channel
- 15 Research Findings and Conclusion
- 16 Appendix
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