AI Data Center Power Supply Units Market Analysis | 2026-2032

Market Size & Opportunities

Global Demand Analysis & Sales Opportunities in AI Data Center Power Supply Units (PSU) Market

• The annual demand for AI data center power supply units was USD 8.2 billion in 2025 and is expected to reach USD 9.8 billion in 2026, up 20.6% than the value in 2025.

• During the forecast period (2026-2032), the market is expected to grow at a CAGR of 19.4%. The annual demand will reach USD 28.7 billion in 2032, which is almost 3.5 times the demand in 2025.

• North America accounted for the largest market share in 2025, driven by substantial investments in AI data center infrastructure and the strong presence of hyperscale cloud service providers.

• By product type, high-power server PSUs are expected to remain dominant throughout the forecast period, supported by the increasing power requirements of AI servers.

• By application, GPU training is estimated to account for the largest market share, driven by the intensive computational and power requirements of training large AI models.

“According to our Senior Analyst at Stratview Research, the global AI data center power supply units’ market will generate a cumulative sales opportunity worth USD 126.8 billion during 2026-2032. Over the forecast period, high-power server PSUs, GPU training applications, and the Asia-Pacific region are expected to present attractive growth opportunities for market participants.”

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Market Statistics

Have a look at the sales opportunities presented by the AI data center power supply units market in terms of growth and market forecast. 

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Market Dynamics

The global AI data center power supply units (PSU) market is witnessing rapid evolution, driven by the growing adoption of artificial intelligence, rising power requirements of high-performance computing systems, and increasing investments in hyperscale data center infrastructure. The market analysis highlights the growing need for high-efficiency power supply units capable of supporting higher server power density, minimizing energy losses, and ensuring reliable power delivery.

Furthermore, the transition toward high-voltage DC architectures, advancements in power conversion technologies, and increasing emphasis on thermal management are reshaping PSU design requirements, creating new growth opportunities for manufacturers catering to next-generation AI data centers.

Market Drivers

Increasing Power Requirements of AI Data Centers

The growing adoption of AI training and inference workloads is increasing the need for high-capacity power supply units that can support energy-intensive GPUs and high-density server racks. As data centers accommodate more powerful processors, operators require reliable power conversion and distribution systems, supporting market growth for high-power server PSUs, rack power shelves, and advanced power management solutions.

• According to the International Energy Agency (IEA), April 2026, electricity consumption by AI-focused data centers increased by 50% in 2025, compared with 17% growth across data centers overall. This faster increase reflects the energy-intensive nature of AI computing and the expansion of accelerated servers. As operators deploy additional GPU-based infrastructure, they require power supply units with higher output capacity and efficient power conversion to maintain reliable operation under sustained workloads.

• In October 2026, Infineon Technologies introduced a 27 kW three-phase power supply unit solution for next-generation AI server architectures. Designed for 800 VDC or ±400 VDC power architectures and the Open Compute Project's Open Rack V3 specification, the solution addresses rising rack power density and thermal performance requirements. The development demonstrates how increasing AI computing loads are encouraging PSU manufacturers to develop higher-capacity products for advanced server infrastructure.

Increasing Investment in AI Data Center Infrastructure

Expanding investment in hyperscale data centers and AI computing infrastructure is increasing requirements for server power supplies, rack-level distribution equipment, and backup power systems. As technology companies expand computing capacity, new installations and infrastructure upgrades create additional market demand for power supply units designed to support high-density, continuously operating AI servers.

• The IEA's April 2026 analysis reported that capital expenditure by five major technology companies exceeded USD 400 billion in 2025 and was projected to increase by a further 75% in 2026. These investments reflect continued expansion of digital infrastructure, including AI computing capacity. As new facilities are equipped with GPU servers and high-performance processors, operators require additional power conversion, distribution, and backup equipment to support reliable operations.

• In February 2026, Infineon Technologies increased its planned investment for fiscal 2026 by EUR 500 million to EUR 2.7 billion, focusing primarily on expanding manufacturing capacity for chips used in AI data centers. The company also projected AI-related revenue of EUR 1.5 billion in fiscal 2026, rising to EUR 2.5 billion in fiscal 2027. This investment is intended to increase production capacity for power semiconductors and related components used in AI data center power systems, supporting the supply chain for advanced PSUs as infrastructure deployment expands.

“As per the analyst, the global AI data center PSU market is evolving rapidly. Industry analysis and discussions with key market participants indicate that rising AI server power density, the transition toward 800 VDC power architectures, and the growing emphasis on power conversion efficiency and thermal management will shape the market during the forecast period.”

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Market Challenges

Grid Capacity Constraints and Power Availability

Limited grid capacity, lengthy interconnection timelines, and uncertainty surrounding electricity availability can delay the commissioning of AI data centers. These constraints affect the timing of new facility deployments and equipment procurement, creating a challenge for market expansion as PSU manufacturers depend on data center construction and upgrades to sustain demand for their products.

Thermal Management and Power Conversion Efficiency

The increasing power density of AI servers places greater demands on PSU efficiency, heat dissipation, and system reliability. Power conversion losses generate additional heat, while compact server and rack configurations leave less space for cooling components. These requirements increase design complexity and can raise integration costs, challenging manufacturers to deliver higher output without compromising reliability or thermal performance.

Market Opportunities

Transition Toward High-Voltage DC Power Architectures

The transition toward high-voltage direct current (HVDC) architectures creates opportunities for manufacturers to develop advanced PSUs, DC-DC converters, and integrated power delivery systems for next-generation AI data centers. Higher-voltage distribution can reduce current for a given power level and help manage distribution losses at high rack loads, creating a market share opportunity for suppliers with advanced power conversion technologies.

• In March 2026, Infineon introduced high-voltage intermediate bus converter reference designs for 800 VDC AI data center architectures. Its 800 VDC-to-50 V design demonstrated more than 98% efficiency at full load, addressing the need to reduce power distribution losses as rack power requirements rise. Such solutions create opportunities for power electronics suppliers to support higher-voltage architectures and improve energy efficiency across AI server infrastructure.

• In March 2026, Texas Instruments unveiled a complete 800 VDC power architecture for next-generation AI data centers, including a 30 kW high-power-density AC/DC PSU for AI servers and an 800 V-to-6 V bus converter with 97.6% peak efficiency. The architecture reduces the number of conversion stages between the 800 V supply and processor power, creating opportunities for suppliers to improve power density, conversion efficiency, and scalability in AI data center infrastructure.

High Power Density and Thermal Management Requirements

AI servers require increasingly high power levels within compact rack configurations, placing pressure on PSU efficiency, heat dissipation, and operational reliability. Manufacturers must deliver greater power output while limiting conversion losses and thermal loads, increasing design complexity and potentially raising equipment and integration costs. These requirements challenge market expansion by increasing the technical demands placed on power supply manufacturers and data center operators.

• The IEA’s 2026 Key Questions on Energy and AI report states that AI server power density increased 11-fold between 2020 and 2025 and is projected to rise another fourfold by 2027. As more power is concentrated within compact server racks, PSUs must deliver higher output while minimizing conversion losses and heat generation. These demands increase the need for efficient thermal management, effective cooling integration, and reliable operation under high-load conditions, raising the technical complexity of PSU design.

Segments’ Analysis

By Application Type

“GPU training is expected to remain the dominant application during the AI data center power supply units market forecast period.”

• Based on application type, the AI data center power supply units market is segmented into GPU Training, AI Inference Servers, Rack Power Shelves, Storage Systems, Edge AI Data Centers, and Others.

• Among these, GPU training is expected to maintain its dominant position due to the high power requirements of GPU-intensive computing workloads used to train large AI models. These workloads rely on high-performance processors operating in densely configured server racks, requiring power supply units capable of delivering high power output, conversion efficiency, and stable power delivery.

• The growing deployment of AI training clusters and high-density GPU servers is expected to sustain demand for advanced power supply units. Increasing computational requirements for developing larger AI models further reinforce the need for high-capacity and efficient power delivery solutions.

By Product Type

“High-power server PSUs are expected to remain the dominant product during the AI data center power supply units market forecast period.”

• Based on product type, the AI data center power supply units market is segmented into High-Power Server PSUs, Rack Power Shelves, High-Voltage DC Power Units, Liquid-Cooled PSUs, Standard Server and Storage PSUs, and Battery Backup-Integrated PSUs.

• Among these, high-power server PSUs are expected to maintain their dominant position due to their critical role in supplying reliable and efficient power to high-performance servers used for AI training and inference. These units support power-intensive processors and accelerators while helping maintain stable operation under demanding computational workloads.

• The increasing adoption of GPU-based servers and high-density AI computing infrastructure is expected to support demand for high-power server PSUs. Rising rack power requirements and the need for improved power conversion efficiency further strengthen the importance of these products in AI data center deployments.

Regional Analysis

“North America is expected to remain the dominant regional market for AI data center power supply units during the forecast period.”

• Based on region, the AI data center power supply units market is segmented into North America, Europe, Asia-Pacific, and Rest of the World.

• Among these, North America is expected to maintain its dominant position due to its established data center infrastructure, strong presence of cloud service providers, and substantial investments in AI computing capacity. The region's concentration of hyperscale data centers and AI infrastructure developers supports demand for high-power server PSUs, rack power shelves, and advanced power delivery solutions.

• Asia-Pacific is expected to be the fastest-growing regional market, driven by expanding data center capacity, increasing AI adoption, and rising investments in cloud computing infrastructure. The development of AI-focused data centers and growing demand for high-performance computing across regional markets are expected to accelerate the adoption of advanced power supply unit

“Analysis suggests that the Top 10 countries generate >80% of the annual sales for the AI data center PSU. A few countries are the demand powerhouses and will drive the regional markets in big ways offering attractive business opportunities.”

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Competitive Landscape

The market is fragmented with the presence of less than 100 global and regional players. Some of the major players also manufacture AI data center power supply units and related power equipment. Leading players hold excellent market positions with a vast product portfolio, a wide distribution network, and years of track record.  

The following are the key players in the AI data center power supply unit market:

• Delta Electronics

• Lite-On Technologies

• Advanced Energy Industries

• Flex

• AcBel Polytech

Note: The above list is not an exhaustive list of the key players in the market. If your company is active in this market and would like to be considered for inclusion in future editions of this study, please contact us at [email protected]

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Recent Developments/Mergers & Acquisitions

Recent mergers & acquisitions and other developments in the AI data center power supply unit market reflect evolving market trends, and impact the market. Below given are a few recent developments in the market –

Recent Developments

• In October 2026, Advanced Energy Industries launched three M-CRPS power supply models rated at 3,200 W and 3,600 W, with power density exceeding 100 W/in³, to support AI data centers, enterprise computing, storage, networking, and telecommunications applications.

• In September 2026, Enphase Energy advanced development of its IQ solid-state transformer for AI data centers, with 4 kW power modules being manufactured in Texas for full-scale racks designed to convert medium-voltage AC directly to 800 VDC.

• In August 2026, Vertiv expanded its PowerUPS 9000 uninterruptible power supply (UPS) family with a 1.8 MW model designed for large-scale data centers and high-density AI environments, extending its high-capacity power protection portfolio in Asia-Pacific markets.

• In June 2026, Infineon Technologies introduced two power solutions for AI servers: an 18 kW three-phase power supply reference design for 50 V rack architectures and a 30 kW three-phase power-factor-correction evaluation board for 800 VDC or ±400 VDC rack architectures.

• In May 2026, Infineon Technologies joined NVIDIA’s MGX AI Factory ecosystem to support next-generation AI data center power delivery, including 800 VDC power architectures and more efficient power distribution from the grid to the processor.

Mergers & Acquisitions

• In October 2026, Flex completed its acquisition of EPC Power, a provider of intelligent power conversion solutions for data center and grid applications, strengthening its capabilities in high-density AI infrastructure and next-generation 800 V data center power architectures.

• In September 2026, Vertiv announced an agreement to acquire UtilityInnovation Group for approximately USD 1.45 billion upfront, plus up to USD 1.15 billion in contingent consideration, expanding its microgrid controls, onsite power generation, and energy storage capabilities for AI data centers.

• In August 2026, Infineon Technologies announced the acquisition of C2i Semiconductors, a Bengaluru-based company specializing in digital power management, multiphase controllers, and smart power stages for AI data centers. The acquisition is intended to strengthen Infineon’s power delivery portfolio and accelerate software-defined power architectures.

• In August 2026, nVent Electric announced an agreement to acquire Maverick Power for approximately USD 1.75 billion, expanding its power distribution capabilities and data center infrastructure portfolio to address increasing demand from AI computing facilities.

• In May 2026, Analog Devices announced an agreement to acquire Empower Semiconductor for USD 1.5 billion, adding integrated voltage regulator and silicon capacitor technologies to its power management portfolio for high-density AI computing applications.

• In January 2026, Jabil completed its acquisition of Hanley Energy Group for approximately USD 725 million, with up to USD 58 million in additional contingent consideration. The acquisition strengthened Jabil’s rack-level data center power management, energy optimization, and critical power infrastructure capabilities.

Report Scope

Market Definition 

The AI data center power supply units (PSU) market comprises the production and supply of power conversion units designed to deliver stable, efficient, and reliable electrical power to AI servers and supporting data center infrastructure. These units convert incoming AC or DC electricity into the voltage levels required by GPUs, CPUs, memory, storage, and other critical computing components. The market includes high-power server PSUs, rack power shelves, high-voltage DC power units, liquid-cooled PSUs, and integrated power backup solutions. Market growth is driven by increasing AI workloads, rising server power density, expanding hyperscale data center infrastructure, and the transition toward advanced power architectures that improve energy efficiency, thermal management, and overall system reliability.

Report Structure 

This report provides market intelligence most comprehensively. The report structure has been kept so that it offers maximum business value. It provides critical insights into market dynamics and will enable strategic decision-making for existing market players as well as those willing to enter the market. 

The following are the key features of the report: 

• Market structure: Overview, industry life cycle analysis, supply chain analysis. 

• Market environment analysis: Growth drivers and constraints, Porter’s five forces analysis, SWOT analysis. 

• Market trend and forecast analysis. 

• Market segment trend and forecast. 

• Competitive landscape and dynamics: Market share, Service portfolio, New Product Launches, etc. 

• Attractive market segments and associated growth opportunities. 

• Emerging trends. 

• Strategic growth opportunities for the existing and new players. 

• Key success factors. 

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Segmentation 

The report provides detailed insights into the market dynamics to enable informed business decision-making and growth strategy formulation based on the opportunities present in the market. 

The AI data center power supply units’ market is segmented into the following categories: 

AI Data Center Power Supply Units Market, By Application Type 

• GPU Training

• AI Inference Servers

• Rack Power Shelves

• Storage Systems

• Edge AI Data Centers

• Others

AI Data Center Power Supply Units Market, By Product Type 

• High-Power Servers PSUs

• Rack Power Shelves

• High-Voltage DC Power Units

• Liquid-Cooled PSUs

• Standard Server and Storage PSUs

• Battery Backup-Integrated PSUs

AI Data Center Power Supply Units Market, By Region

• North America (Country Analysis: The USA, Canada, and Mexico) 

• Europe (Country Analysis: Germany, France, The UK, Russia, and the Rest of Europe) 

• Asia-Pacific (Country Analysis: Japan, China, India, and Rest of Asia-Pacific) 

• Rest of the World (Country Analysis: Brazil and Others) 

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Research Methodology

This strategic assessment report from Stratview Research provides a comprehensive analysis that reflects today’s AI data center PSU market realities and future market possibilities for the forecast period. 

The report segments and analyzes the market in the most detailed manner to provide a panoramic view of the market. 

The vital data/information provided in the report can play a crucial role for market participants and investors in identifying the low-hanging fruits available in the market and formulating growth strategies to expedite their growth process. 

This report offers high-quality insights and is the outcome of a detailed research methodology comprising extensive secondary research, rigorous primary interviews with industry stakeholders, and validation and triangulation with Stratview Research’s internal database and statistical tools. 

More than 1,000 authenticated secondary sources, such as company annual reports, fact books, press releases, journals, investor presentations, white papers, patents, and articles, have been leveraged to gather the data. 

We conducted more than 10 detailed primary interviews with market players across the value chain in all four regions and industry experts to obtain both qualitative and quantitative insights. 

Customization Options

With this detailed report, Stratview Research offers one of the following free customization options to our respected clients: 

Company Profiling 

• Detailed profiling of additional market players (up to three players) 

• SWOT analysis of key players (up to three players) 

Competitive Benchmarking 

• Benchmarking of key players on the following parameters: Service portfolio, geographical reach, regional presence, and strategic alliances 

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