AI Power Supply Units (AI PSU) Market Size, Share, Growth and Forecast (2026 - 2036)

AI Power Supply Units (AI PSU) Market Overview, Growth Outlook, and Forecast by Fact.MR

• Global AI power supply units (AI PSU) market revenue stood at USD 560.4 million in 2025 and is forecast to reach USD 6,298.1 million by 2036.
• At a 24.6% CAGR from 2026 to 2036, this market is set to expand ~9x in value, adding USD 5,599.8 million in absolute opportunity.

Summary of the AI Power Supply Units (AI PSU) Market

• Market Snapshot
  • In 2025, the global AI Power Supply Units (AI PSU) Market was valued at approximately USD 560.4 million.
  • The market is estimated to reach USD 698.3 million in 2026 and is projected to attain USD 6,298.1 million by 2036
  • AI Power Supply Units (AI PSU) Market is likely to expand at a CAGR of 24.6% during the forecast period.
  • The market is anticipated to create an absolute dollar opportunity of USD 5,599.8 million between 2026 and 2036.
  • Multi-Rail PSU account for 62% of market share in 2026.
  • India (28.9%) and China (27.6%) are the key growth markets during the forecast period
• Demand and Growth Drivers
  • Rising demand for hyperscale and colocation data centers is driving adoption of high-capacity and high-efficiency power supply units.
  • Increasing deployment of AI, machine learning, and high-performance computing (HPC) workloads is significantly increasing power density requirements in modern data centers.
  • Growing focus on energy efficiency and sustainability is encouraging adoption of advanced PSU architectures with higher efficiency ratings.
  • Expansion of edge computing infrastructure is supporting demand for compact and modular PSU solutions.
  • Increasing need for redundancy and reliability in mission-critical data center operations is driving adoption of modular and hot-swappable PSU configurations.
  • Advancements in liquid cooling and thermal management technologies are influencing PSU design and performance optimization.
• Product and Segment View
  • Multi-rail PSUs hold 62% share of product type segment in 2026, driven by enhanced safety, power distribution efficiency, and suitability for high-load computing environments.
  • Single rail PSUs account for 38% share, widely used in simpler and cost-sensitive server configurations.
  • 500W–1,000W power range holds 34% share by output rating, supported by widespread deployment in standard server configurations.
  • 1,000W to 3,000W PSUs account for 46% share, driven by increasing demand in high-performance computing and AI workloads.
  • Above 3,000W PSUs represent 15% share, reflecting growing adoption in hyperscale data centers.
  • Hot-swappable PSUs hold 43% share by form factor, enabling uninterrupted operations and quick replacement in critical environments.
  • Modular PSUs account for 25% share, offering flexibility and scalability in data center configurations.
  • OCP (Open Compute Project) PSUs represent 15% share, driven by increasing adoption in hyperscale data center architectures.
  • Air-cooled PSUs dominate with 58% share, supported by established cooling infrastructure in traditional data centers.
  • Liquid-cooled PSUs account for 42% share, reflecting growing adoption in high-density computing environments.
• Geography and Competitive Outlook
  • North America and Asia Pacific represent key markets supported by strong investments in cloud computing infrastructure and AI data centers.
  • China and India are emerging as high-growth markets due to rapid expansion of hyperscale data centers and digital infrastructure development.
  • Europe continues to invest in energy-efficient data center technologies and sustainable infrastructure solutions.
  • Market growth is influenced by advancements in high-efficiency power electronics, integration with liquid cooling systems, and adoption of open compute standards.
  • Key companies active in this market include Delta Electronics, Lite-On Technology, Flex Ltd., Murata Manufacturing, and Advanced Energy Industries.
• Analyst Opinion
  • Shambhu Nath Jha, Principal Consultant at Fact.MR, says, “The AI Power Supply Units (AI PSU) Market is no longer defined solely by conventional server power requirements. Growth is increasingly driven by hyperscale AI data center expansion, rising demand for high-density GPU clusters, and the shift toward ultra-efficient, high-wattage, and liquid-cooled PSU architectures that enhance energy efficiency, ensure workload reliability, and optimize total cost of ownership across advanced AI infrastructure.

AI Power Supply Units (AI PSU) Market At a Glance

Key Growth Drivers, Constraints, and Opportunities

Key Factors Driving Growth

• High-efficiency, high-wattage PSUs are gaining demand as AI data centers and hyperscale cloud infrastructure handle increasingly intensive AI workloads.
• Rising focus on energy efficiency and total cost of ownership is driving adoption of advanced PSUs with higher efficiency ratings and reliability.
• Increasing movement towards modular, hot-swappable, and high-performance PSU designs is facilitating easy integration into AI servers and high-density computing systems.

Key Market Constraints

• High upfront prices of advanced AI PSUs, especially liquid-cooled and ultra-high-wattage models, may limit adoption among cost-sensitive enterprises.
• Longer replacement cycles for server-grade PSUs reduce recurring demand, particularly in stable enterprise environments.
• Greater integration of rack-level power systems, power shelves, and DC architectures can reduce demand for standalone PSU units and increase pricing pressure.

Key Opportunity Areas

• The increase in the use of edge AI infrastructure and local data centers is generating additional demand sources outside hyperscale facilities.
• Aftermarket upgrades offer strong expansion potential as legacy PSUs are replaced with high-efficiency and high-power solutions.
• Liquid cooling, GaN/SiC-based power electronics, and smart power management systems support premium product positioning and long-term market growth.

Segment-wise Analysis of the AI Power Supply Units (AI PSU) Market

• Multi-Rail PSUs account for 62% of the product type segment in 2026, driven by their superior load distribution, enhanced safety, and growing adoption in high-density AI server environments requiring stable and redundant power delivery.
• 1,000W–3,000W PSUs hold 46% share of the output power rating segment in 2026, as they represent the optimal balance between power density and efficiency for mainstream AI servers, while >3,000W units are rapidly gaining traction in hyperscale deployments.
• OEM / Embedded PSUs dominate the deployment segment with 78% share in 2026, supported by strong integration with AI servers and direct procurement by hyperscalers to ensure performance optimization and system reliability.

The AI Power Supply Units (AI PSUs) Market is segmented by product type, output power rating, form factor, cooling mechanism, deployment type, application, end-use industry, and region. By product type, the market includes single rail PSU and multi-rail PSU. By output power rating, it covers up to 500W, 500W–1,000W, 1,000W–3,000W, and above 3,000W. By form factor, it includes rack-mounted PSUs, blade server PSUs, modular / hot-swappable PSUs, and OCP PSUs. Cloud data centers / hyperscalers lead the application segment with 52% share, while IT & telecommunications dominate end use with 48% share. Multi-rail, high-wattage, and OEM-integrated PSUs lead due to performance and scalability advantages, while liquid-cooled and ultra-high-power systems are expected to drive future growth as AI workloads intensify.

Which Product Type Segment Dominates the AI Power Supply Units (AI PSU) Market?

In 2026, multi-rail PSUs is estimated have 62% share due to better load distribution, safety and reliability in dense AI environments. Hyperscale data centers use them due to their stable power delivery of GPUs and accelerators. They are necessary to scalable, high-performance AI infrastructure due to their capability to improve performance and minimize risk of failure.

Which Output Power Rating Segment Leads the AI PSU Market?

The 1,000W to 3,000W segment is growing swiftly with a share of 46% in 2026, providing a good balance of power and efficiency to mainstream AI servers. These PSUs are widely used in enterprise and hyperscale deployments, and they are able to support GPU clusters. The higher wattage units though on the increase are a dominant segment because they are compatible and offer cost-effectiveness benefits.

Which Form Factor Segment Holds the Largest Share in the Market?

In 2026, rack-mounted PSUs are at the forefront with 42% share because of the compatibility with standard data center architectures. They provide scalability, effective use of space and integration ease in AI server settings. Their use across hyperscale centers and capability to handle the high-density settings support their leadership in the contemporary data center infrastructure.

Which Cooling Mechanism Segment is Gaining Prominence in the AI PSU Market?

The air-cooled PSUs will be dominating the market in 2026 with a 58% share because it is cost-effective and used widely. Nevertheless, liquid-cooled PSUs are quickly becoming more popular as AI workloads become thermally strained. Liquid cooling creates more efficient systems, enhanced heat transfer, and high-power systems, which can be a central area of growth in future-AI infrastructure.

Which Deployment Type Segment Drives the AI PSU Market?

OEM / Embedded PSUs will be taking over with 78% market in 2026, fueled by integration with AI servers and hyperscale procuring strategies. These solutions guarantee optimization of performance, reliability and compatibility. Direct integration lowers inefficiencies in the system, and OEM deployment is an ideal decision whereas aftermarket demand is lower relative to each other.

Regional Outlook Across Key Markets

The market analysis covers key global regions, including South Asia and Pacific, Middle East & Africa, North America, Latin America, Western Europe, and Eastern Europe. It is segmented geographically, with specific market dynamics for each region. The full report provides a detailed market attractiveness analysis.

CAGR Table

Source: Fact MR (FMR) analysis, based on proprietary forecasting model and primary research.

North America – The Hyperscale Demand Engine

North America serves as the global demand epicenter, driven by hyperscale cloud providers and advanced AI infrastructure investments. Key players such as Delta Electronics (U.S. operations), Advanced Energy Industries, and Vertiv maintain strong positions through OEM partnerships and power system integration capabilities.

• United States: Demand for AI Power Supply Units (AI PSUs) in the United States is projected to rise at 25.8% CAGR through 2036.
  • Growth is driven by aggressive hyperscale expansion and federal AI initiatives. In October 2025, the U.S. Department of Energy expanded funding under its AI data center efficiency program, encouraging adoption of high-efficiency power systems. These developments, combined with strong procurement by AWS and Google, are reinforcing the U.S. as the largest AI PSU consumption market globally. [1]
• Canada: Demand for AI Power Supply Units (AI PSUs) in Canada is projected to rise at 23.5% CAGR by 2036.
  • Canada’s growth is supported by sustainable data center expansion and favorable energy policies. In September 2025, the Government of Canada introduced incentives for green data center infrastructure under its clean energy program, promoting high-efficiency PSU adoption. The country’s access to low-cost renewable energy further enhances its attractiveness for AI infrastructure deployment. [2]

Western Europe – The Efficiency and Sustainability Hub

Western Europe functions as the global efficiency benchmark, emphasizing energy optimization and regulatory compliance. Companies like Infineon Technologies, Schneider Electric, and ABB lead through innovation in high-efficiency power electronics and integrated solutions.

• Germany: Demand for AI Power Supply Units (AI PSUs) in Germany is projected to rise at 21.2% CAGR from 2026 to 2036. Germany’s growth is driven by strict energy regulations and industrial AI adoption.

East Asia – The Manufacturing and Scale Powerhouse

East Asia acts as the global production and scaling hub, combining strong PSU manufacturing capabilities with rapidly expanding AI infrastructure. Key players include Delta Electronics (Taiwan/China), Lite-On Technology, and AcBel Polytech.

• China: Demand for AI Power Supply Units (AI PSUs) in China is projected to rise at 27.6% CAGR through 2036.
  • China’s growth is fueled by government-backed AI initiatives and domestic manufacturing strength. In July 2025, China’s National Development and Reform Commission expanded its “Eastern Data, Western Computing” program, accelerating data center construction. Strong domestic PSU manufacturing further supports rapid market expansion. [3]

South Asia & Pacific – The Emerging High-Growth Frontier

South Asia & Pacific is emerging as the fastest-growing digital infrastructure region, supported by rapid cloud adoption and government-backed AI initiatives. Regional players include Tata Consultancy Services (infrastructure ecosystem), and global PSU suppliers expanding presence.

• India: Demand for AI Power Supply Units (AI PSUs) in India is projected to rise at 28.9% CAGR by 2036.
  • India’s growth is driven by digital transformation and policy support. In June 2025, the Government of India launched expanded incentives under its data center policy, promoting infrastructure investments. Additionally, Reliance Jio (October 2025) announced large-scale AI data center projects, increasing PSU demand. Rising cloud adoption and edge deployments further strengthen market growth. [4]

Competitive Benchmarking and Company Positioning

Leading Companies Shaping the AI Power Supply Units (AI PSU) Market

The AI PSUs market is semi-consolidated, with the dominance players in the industry, including Delta Electronics, LITE-ON, AcBel Polytech, and FSP Group, having a share of around 60-70%, particularly in the hyperscale deployments. Efficiency, power density and reliability are the major driving factors in competition. OEM and scale, as well as control of the supply chain, are an advantage to these leaders, whereas Chinese companies compete on price and distance. Multi-supplier strategies and long-term contracts by buyers (primarily hyperscalers) mitigate risk, restricting pricing power. Due to this, technological differentiation and the ability to integrate rather than pricing advantage is the more crucial factor in success.

Key Players of the AI Power Supply Units (AI PSU) Market

• Delta Electronics, Inc.
• LITE-ON Technology Corporation
• AcBel Polytech Inc.
• FSP GROUP
• Advanced Energy
• OmniOn Power Inc.
• Shenzhen Megmeet Electrical
• Great Wall Power Technology Co., Ltd
• Aohai Technology 
• Shenzhen Oulutong Electronics

Recent Industry Developments

• Delta Electronics unveils integrated AI data center power and cooling architecture (April 2026): Delta Electronics introduced a “grid-to-chip” infrastructure combining power, cooling, and control systems to support high-density AI workloads, improving efficiency and scalability for next-generation data centers. (Delta Electronics Press Release) [5]
• Delta Electronics showcases AI-driven power solutions at Hannover Messe (April 2026): Delta presented advanced AI server power systems and launched new high-efficiency industrial power supply solutions, reinforcing its focus on energy-efficient, high-performance infrastructure. (Delta Electronics Press Release) [6]
•  Delta Electronics highlights AI server power solutions at OCP EMEA Summit (May 2025): Delta demonstrated next-generation AI server PSUs and power shelf solutions designed for hyperscale deployments, strengthening its position in high-density AI infrastructure. (Delta Electronics Press Center) [7]

Sources and Research References

• [1] U.S. Department of Energy, AI Data Center Efficiency Program Expansion, October 2025,
• [2] Government of Canada, Clean Energy Incentives for Data Center Infrastructure, September 2025,
• [3] National Development and Reform Commission (China), Eastern Data, Western Computing Initiative Expansion, July 2025,
• [4] Government of India, Data Center Policy Incentives and Digital Infrastructure Expansion, June 2025,
• [5] Delta Electronics, Delta Unveils Integrated Power, Cooling and Infrastructure Architecture for AI Data Centers, April 2026,
• [6] Delta Electronics, Delta Showcases AI-driven Smart Manufacturing and Industrial Power Solutions at Hannover Messe, April 2026,
• [7] Delta Electronics, Delta Highlights AI Server Power Solutions at OCP EMEA Summit, May 2025,

AI Power Supply Units (AI PSU) Market Definition

The AI Power Supply Units (AI PSUs) market is a specialized market of power devices that transform electrical power into stable, high-efficiency power to AI servers and data center equipment. These units provide stable energy to GPUs, CPUs and accelerators in artificial intelligence workloads. Their main purpose is to facilitate the operations of high-performance computing at a cost-effective and thermally stable manner. The major end users will be hyperscale data centers, enterprise IT infrastructure, and high-performance computing facilities.

AI Power Supply Units (AI PSU) Market Inclusions

This report includes a worldwide and regional market size forecasts of AI Power Supply Units, and projections between 2026 and 2036. It has extensive product division, based on the type of output power, form factor, cooling method, type of deployment, application, and end-use industry. The paper also examines the pricing, technology development (efficiency and cooling) and regional demand trends in the key AI infrastructure markets.

AI Power Supply Units (AI PSU) Market Exclusions

It does not include general-purpose consumer PSUs, desktop computer power supplies, and low-power embedded adapters not intended to power AI or data center workloads. It also excludes the entire infrastructure platforms of data centers including UPS, PDUs and power storage systems, but only server-based AI PSUs. Downstream AI devices like GPUs, servers and rack systems are not included unless specifically related to PSU integration.

AI Power Supply Units (AI PSU) Market Research Methodology

• Primary Research
  • PSU manufacturers, data center operators, hyperscale cloud providers, component suppliers and industry experts in North America, Europe, and Asia Pacific were interviewed in-depth in order to collect their personal experiences on the demand trends and technology adoption.
• Desk Research
  • Secondary research used company annual reports, investor presentations, industry white papers, trade databases, government publications, and data center capacity reports to develop market insight.
• Market-Sizing and Forecasting
  • Market size estimation and growth forecasting used a hybrid approach combining bottom-up inputs such as AI server shipments, PSU units per server, and ASP analysis with top-down inputs such as data center power spending and AI infrastructure investments.
• Data Validation and Update Cycle
  • All results were cross-referenced using various sources, checked with industry specialists, and revised on a regular basis to suit changes in technology, costs, and the current trends in deploying AI infrastructure.