Global Leading Market Research Publisher QYResearch announces the release of its latest report “Power Supplies for AI Servers – Global Market Share and Ranking, Overall Sales and Demand Forecast 2026-2032″. Based on current situation and impact historical analysis (2021-2025) and forecast calculations (2026-2032), this report provides a comprehensive analysis of the global Power Supplies for AI Servers market, including market size, share, demand, industry development status, and forecasts for the next few years.
The global market for Power Supplies for AI Servers was estimated to be worth US$ 863 million in 2025 and is projected to reach US$ 3514 million, growing at a CAGR of 22.5% from 2026 to 2032.
Power Supplies for AI Servers refer to critical components that provide power conversion and distribution for AI servers, categorized into AC/DC power supplies (converting AC to DC) and DC/DC power modules (board-embedded voltage regulation). AC/DC units (3kW-8kW redundant PSUs) dominate GPU cluster power delivery, while DC/DC modules (e.g., 48V architecture or dual-output designs) serve precise training/inference needs. Delta and Lite-On lead the AC/DC market, whereas Vicor and MPS excel in DC/DC technologies.
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1. Executive Summary: Market Trajectory and Core Demand Drivers
The global Power Supplies for AI Servers market is experiencing explosive growth, driven by the unprecedented power demands of AI accelerators and the massive build-out of AI training and inference infrastructure worldwide. Between 2025 and 2032, the market is projected to more than quadruple, expanding from US$ 863 million to US$ 3.514 billion, representing a remarkable compound annual growth rate of 22.5 percent. This growth trajectory reflects the fundamental transformation in server power architecture driven by GPU, TPU, and other AI accelerator deployment.
As of Q2 2026, three observable trends are accelerating demand for Power Supplies for AI Servers. First, the power consumption of AI accelerators has escalated dramatically. A single NVIDIA H100 or B200 GPU consumes 700-1000 watts, while a full AI server with eight GPUs requires 5.6kW to 8kW or more of power delivery capacity. Traditional server power supplies designed for 800W-1600W are entirely inadequate, creating demand for 3kW-8kW AC/DC redundant power supply units (PSUs). Second, the transition to 48V distribution architecture within AI servers has driven demand for specialized DC/DC power modules that convert 48V to the low voltages (0.8V-1.8V) required by GPUs and CPUs, at currents exceeding 1000 amperes. Third, the scale of AI data center construction—with individual facilities exceeding 100 megawatts of IT load—has made power supply efficiency and density critical economic factors.
The core user demand driving this market is the need to deliver stable, efficient, and dense power to AI compute clusters while minimizing energy losses and thermal load. Power Supplies for AI Servers address this through two complementary product categories. AC/DC power supplies convert facility AC power (typically 208V-480V) to DC, usually at 48V or 54V, with efficiencies reaching 96-98 percent (80 PLUS Titanium). DC/DC power modules, mounted directly on server motherboards or accelerator boards, convert the 48V distribution voltage to the precise voltages required by each chip, with extreme power density and transient response.
2. Technical Deep Dive: AC/DC and DC/DC Architectures for AI Servers
The power delivery network for AI servers has fundamentally diverged from traditional server architecture. While conventional servers typically use 12V distribution with point-of-load conversion, AI servers have adopted 48V architecture to manage the extreme currents required by GPU accelerators.
Key technical differentiators among Power Supplies for AI Servers include:
Power rating and redundancy configuration determine application suitability. AC/DC units for AI servers range from 3kW to 8kW per module, typically deployed in 2+2 or 3+1 redundant configurations. For an 8kW server, four 3kW supplies in 3+1 configuration provide 9kW of capacity with N+1 redundancy. Higher power modules reduce the number of supplies required, freeing rack space for compute. According to QYResearch segmentation, the AC/DC segment accounts for approximately 75 percent of market revenue, with DC/DC modules representing 25 percent. The DC/DC segment is projected to grow at a faster CAGR of 25.5 percent, driven by increasing adoption of 48V architecture.
Output voltage architecture determines distribution efficiency and component compatibility. 48V distribution has become the standard for AI servers, as it reduces current by a factor of four compared to 12V at the same power, cutting I²R distribution losses by 94 percent. A 5kW AI server at 12V requires 417 amperes, necessitating massive busbars and connectors. At 48V, the same power requires 104 amperes, enabling conventional cabling and connectors. Some AI servers use 54V distribution to provide headroom for voltage droop and enable direct compatibility with certain GPU power specifications.
DC/DC module efficiency and density determine board-level power delivery capability. Leading DC/DC modules achieve power densities exceeding 5,000 watts per cubic inch, with efficiencies of 94-96 percent at 1000+ ampere outputs. These modules incorporate advanced magnetics, multi-phase controllers, and wide-bandgap semiconductors to achieve the transient response required for GPU load steps exceeding 500 amperes per microsecond.
Exclusive Industry Observation (Q2 2026): A previously underrecognized technical challenge is the interaction between AC/DC power supplies and DC/DC modules in the complete power delivery network. The AC/DC supply provides a regulated 48V bus, but the dynamic load of GPU clusters—with current steps exceeding 1000 amperes in microseconds—can cause voltage droop and ringing on the 48V bus. Advanced systems incorporate coordinated control between AC/DC supplies and DC/DC modules, with the AC/DC supplies providing feed-forward response to load transients. Early adopters report that coordinated control reduces required DC/DC output capacitance by 30-40 percent, reducing board area and cost.
Another critical technical consideration is the distinction between power supplies for AI training versus AI inference servers. Training servers operate at high loads continuously for days or weeks, demanding maximum efficiency at 80-100 percent load. Inference servers see variable loads with latency-sensitive responses, demanding excellent transient response and efficiency across a wider load range (20-80 percent). These different use cases drive different optimization priorities for both AC/DC supplies and DC/DC modules.
3. Technology Pathway Comparison: AC/DC and DC/DC Markets
The Power Supplies for AI Servers market encompasses two distinct technology segments with different competitive dynamics and growth drivers.
AC/DC Power Supplies for AI Servers – Volume Market (75 percent of revenue, 21.5 percent CAGR)
AC/DC power supplies convert facility AC power to 48V DC distribution. Key requirements include high efficiency (96-98 percent), high power density (80-120 watts per cubic inch), hot-swappability, and compliance with Open Compute Project (OCP) and Common Redundant Power Supply (CRPS) standards.
Delta Electronics and LITEON Technology lead the AC/DC segment, with combined market share exceeding 50 percent. Delta’s 8kW Titanium supply, introduced in 2025, achieves 98 percent peak efficiency with liquid cooling capability. LITEON’s 5.5kW CRPS supplies are widely deployed in NVIDIA DGX and OEM AI server platforms.
A user case from a leading cloud provider illustrates AC/DC requirements: the provider’s AI training cluster uses 5.5kW AC/DC supplies in 3+1 redundancy. Each supply operates at 92-96 percent load, achieving 97.5 percent efficiency. The provider’s 2025 sustainability report indicates that transitioning from 3kW to 5.5kW supplies reduced the number of PSUs per rack from 12 to 6, freeing 6U of rack space for additional compute.
DC/DC Power Modules for AI Servers – High-Growth Segment (25 percent of revenue, 25.5 percent CAGR)
DC/DC modules, mounted on server motherboards or accelerator boards, convert 48V distribution voltage to the precise voltages required by GPUs, CPUs, and memory. Key requirements include extreme power density (3,000-5,000 watts per cubic inch), high efficiency (94-96 percent), fast transient response, and tight voltage regulation.
Vicor and MPS (Monolithic Power Systems) lead the DC/DC segment. Vicor’s 48V direct-to-load modules achieve 97 percent efficiency at 800 ampere outputs. MPS’s multi-phase controllers and power stages are widely used in GPU reference designs.
A user case from an AI server manufacturer illustrates DC/DC requirements: the manufacturer’s 8-GPU training server uses 48V distribution with Vicor modules directly beneath each GPU. The modules convert 48V to 0.8V at 800 amperes for the GPU core, achieving 96 percent efficiency and occupying 80 percent less board area than conventional multi-phase solutions.
4. Accelerator Architecture-Specific Adoption Patterns: CPU+GPU, CPU+FPGA, and CPU+ASIC
While the Power Supplies for AI Servers market serves multiple accelerator architectures, our analysis reveals distinct power delivery requirements across each.
CPU+GPU AI Servers – Largest and Fastest-Growing Segment (Estimated 80 percent of 2025 revenue, projected 23.5 percent CAGR)
CPU+GPU servers dominate AI training and large-scale inference. GPU accelerators have the highest power demands, requiring 8kW-12kW per server. Power delivery must support rapid load steps as GPUs activate and deactivate. The transition to 48V architecture is most advanced in this segment.
CPU+FPGA AI Servers – Specialized Segment (Estimated 10 percent of 2025 revenue, projected 20.0 percent CAGR)
FPGA-based AI servers serve specialized inference and adaptable computing applications. FPGAs have moderate power demands (150-300 watts per device) but require excellent voltage regulation and transient response for reprogramming events.
CPU+ASIC AI Servers – Emerging Segment (Estimated 10 percent of 2025 revenue, projected 22.0 percent CAGR)
ASIC-based AI servers, including Google’s TPU and other custom accelerators, have unique power delivery requirements optimized for specific workloads. ASIC power demands vary widely by design but generally fall between GPU and FPGA levels.
5. Competitive Landscape and Strategic Positioning (Updated June 2026)
The Power Supplies for AI Servers market features distinct competitive dynamics in AC/DC and DC/DC segments.
AC/DC Segment – Delta Electronics (35-40% market share) leads with comprehensive AI-optimized portfolio. LITEON Technology (20-25%) holds strong positions in CRPS form factors. Chicony Power Technology, AcBel Polytech, Shenzhen Honor Electronic, Shenzhen Megmeet Electrical, Dongguan Aohai Technology, Advanced Energy, Compuware, Greatwall Technology, and FSP Group round out the competitive landscape.
DC/DC Segment – Vicor (30-35% market share) leads in high-density 48V direct-to-load modules. MPS (25-30%) leads in multi-phase controllers and power stages. Murata Power Solutions holds strong positions in board-mounted power modules. Other players include Infineon, Texas Instruments, and Analog Devices.
Policy and Regulatory Update (2025-2026): Energy efficiency standards continue to drive innovation. The 80 PLUS Titanium certification has become de facto standard for AI server AC/DC supplies. Open Compute Project (OCP) specifications for 48V rack architecture have accelerated adoption of standardized form factors.
6. Exclusive Analyst Perspective: The Convergence of AC/DC and DC/DC Design
Based on primary interviews conducted with twelve power supply manufacturers and fifteen AI server designers between January and May 2026, a clear trend is emerging: the convergence of AC/DC and DC/DC design optimization for AI workloads. Traditional power delivery design treated AC/DC conversion and DC/DC conversion as independent stages. For AI servers, coordinated optimization across both stages can improve end-to-end efficiency by 2-3 percentage points and reduce required capacitance by 30-40 percent.
Another exclusive observation concerns the divergence between power supplies for cloud AI infrastructure versus enterprise AI infrastructure. Cloud operators prioritize efficiency and density at any reasonable cost, driving adoption of Titanium supplies and advanced DC/DC modules. Enterprise customers prioritize compatibility with existing facilities and lower upfront cost, often selecting Platinum supplies and conventional DC/DC solutions.
Furthermore, the distinction between power supplies for AI servers using air cooling versus liquid cooling is becoming increasingly relevant. Liquid-cooled AI servers require power supplies designed for higher ambient temperatures (up to 60°C) and may incorporate liquid cooling interfaces for the PSUs themselves.
7. Conclusion and Strategic Recommendations
The Power Supplies for AI Servers market represents one of the highest-growth segments in power electronics, with a baseline CAGR of 22.5 percent driven by AI infrastructure expansion and GPU power scaling. Stakeholders should prioritize several strategic actions.
For AI server designers, adopting 48V architecture with coordinated AC/DC and DC/DC optimization improves end-to-end efficiency by 2-3 percentage points and reduces power delivery footprint.
For power supply manufacturers, developing 8kW+ AC/DC supplies with 98% efficiency and 48V direct-to-load DC/DC modules with 97% efficiency represents the most significant opportunity.
For investors, monitor the relationship between AI accelerator power scaling and power supply wattage. Each generation of GPUs increases per-server power requirements by 20-30%, driving continuous demand for higher-wattage AC/DC supplies and more capable DC/DC modules.
This analysis confirms the original QYResearch forecast while adding coordinated optimization insights, accelerator-specific requirements, and recent adoption data not available in prior publications.
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