AI Data Center Power Semiconductors Market Size to Reach $5.1 Billion by 2035

AI data center power semiconductors market is projected to grow from $1.8 billion in 2025 and is projected to reach $5.1 billion by 2035, growing at a CAGR of 11.1% during the forecast period 2026-2035. AI workloads are changing the power requirements of data center infrastructure by increasing the electrical load associated with accelerated computing systems. The resulting increase in rack density is creating demand for semiconductors capable of supporting efficient conversion and stable voltage regulation across multiple stages of the power path. Power losses that may have been manageable in conventional server environments become more significant as computing systems become denser and operate continuously at high utilization. This is encouraging data center designers to evaluate architectures that reduce the number of conversion stages and improve power delivery efficiency. The development of high-voltage DC systems is consequently becoming an important area of semiconductor development. Suppliers are combining conventional silicon devices with SiC and GaN technologies to address different sections of the power-delivery chain. Advanced gate drivers, power modules, controllers, protection devices, and voltage regulators are also becoming increasingly important alongside discrete power semiconductors. The growing emphasis on uptime is encouraging greater attention to hot-swap capabilities, fault protection, monitoring, and serviceability. These requirements are expanding the role of power semiconductors beyond basic switching toward integrated power-management functions.

Browse the full report description of “AI Data Center Power Semiconductors Market Size, Share & Trends Analysis by Device Type (Power MOSFETs, IGBTs, SiC MOSFETs, GaN Power Devices, Diodes & Rectifiers, and Power Modules), by Semiconductor Material (Silicon (Si), Silicon Carbide (SiC), and Gallium Nitride (GaN)), by Power Rating (Low Power, Medium Power, High Power, and Ultra-High Power), by Data Center Power System (Power Supply Units (PSUs), Uninterruptible Power Supply (UPS) Systems, Power Distribution Units (PDUs), Server Power Systems, and Backup Power Systems), by AI Data Center Infrastructure (AI Training Data Centers, AI Inference Data Centers, AI-Optimized Hyperscale Data Centers, AI Enterprise Data Centers, and AI Colocation Data Centers), by Application (AC-DC Power Conversion, DC-DC Power Conversion, Voltage Regulation, Power Factor Correction, Power Distribution, and Battery Charging & Energy Storage), and by End User (Hyperscale Data Center Operators, Colocation Providers, Cloud Service Providers, Enterprise Data Center Operators, and AI Infrastructure Providers)Forecast Period (2026-2035)” at https://www.omrglobal.com/industry-reports/ai-data-center-power-semiconductors-market

The expansion of AI data centers is also creating demand for power semiconductor technologies that can operate efficiently under high-frequency switching and demanding thermal conditions. Semiconductor manufacturers are investing in wide-bandgap materials, advanced packaging, and compact power modules to improve efficiency while reducing the physical footprint of power-conversion systems. Vertical power delivery is gaining attention because it can shorten electrical paths between power modules and AI processors, supporting higher density within server architectures. At the facility level, higher-voltage distribution can reduce current-related losses and help accommodate larger electrical loads without proportionally increasing conductor requirements. Power semiconductor demand is therefore increasingly connected with the design of the complete data center electrical architecture rather than individual server components alone. The need to integrate renewable generation, energy storage, backup systems, and grid-connected infrastructure is further broadening the range of power-management applications. Semiconductor suppliers are consequently developing solutions spanning grid-side conversion, backup power, intermediate conversion, processor-level regulation, and protection.

The market is also being influenced by the increasing focus on AI inference infrastructure, which requires efficient and responsive power delivery for continuously operating computing systems. As inference workloads become more distributed across cloud, enterprise, and edge environments, data center architectures are likely to require power-management solutions suited to different workload densities and operating conditions. This is encouraging semiconductor suppliers to develop scalable solutions that can support both high-density centralized facilities and more distributed AI deployments. The growing complexity of AI power systems is strengthening cooperation between semiconductor manufacturers, computing companies, server manufacturers, and data center infrastructure providers. Recent industry initiatives around 800 VDC demonstrate how semiconductor development is becoming closely linked with broader changes in rack and facility architecture. NVIDIA's ecosystem for its next-generation 800 VDC architecture includes semiconductor suppliers such as Infineon, Onsemi, Renesas, ROHM, STMicroelectronics, Texas Instruments, and others, alongside power-system companies.

Competitive Landscape of the AI Data Center Power Semiconductors Market

The key players in the AI data center power semiconductors market are Infineon Technologies AG, Onsemi, STMicroelectronics N.V., Texas Instruments Incorporated, and Mitsubishi Electric Corporation, among others. The key players in the market are positioned across different stages of the AI data center power chain, covering discrete power devices, power-management ICs, wide-bandgap semiconductors, power modules, voltage regulation, and protection technologies. Competitive activity is increasingly influenced by the ability to address higher power density while maintaining efficiency, reliability, thermal performance, and serviceability. Companies are also expanding system-level collaborations to align semiconductor roadmaps with emerging data center architectures. This is expected to keep technological development closely connected with changes in server design, power distribution, and facility infrastructure.

• For instance, in June 2026, onsemi introduced its GaNEXUS™ gallium nitride power portfolio, expanding its GaN semiconductor offering for power-intensive applications including AI data centers. The initial portfolio included GaN FETs spanning 40 V to 650 V, together with 650 V GaNEXUS Smart devices incorporating integrated protection features. The company specifically identified AI data center power delivery and 48 V systems among the intended applications, reflecting the increasing requirement for efficient and high-density power conversion in AI infrastructure. The portfolio expansion strengthens onsemi’s position in wide-bandgap power semiconductors used across data center power architectures.

Market Coverage

• The market number available for – 2025-2035
• Base year- 2025
• Forecast period- 2026-2035
• Segment Covered-
  • By Device Type
  • By Semiconductor Material
  • By Power Rating
  • By Data Center Power System
  • By AI Data Center Infrastructure
  • By Application
  • By End User
• Regions Covered-
  • North America
  • Europe
  • Asia-Pacific
  • Rest of the World
• Competitive Landscape - Infineon Technologies AG, Onsemi, STMicroelectronics N.V., Texas Instruments Incorporated, and Mitsubishi Electric Corporation, among others.

Key questions addressed by the report.

• What is the market growth rate?
• Which segment and region dominate the market in the base year?
• Which segment and region will project the fastest growth in the market?
• Who is the leader in the market?
• How are players addressing challenges to sustain growth?
• Where is the investment opportunity?

Global AI Data Center Power Semiconductors Market Report Segment

By Device Type

• Power MOSFETs
• IGBTs
• Insulated-Gate Bipolar Transistors (IGBTs)
• SiC MOSFETs
• GaN Power Devices
• Diodes & Rectifiers
• Power Modules

By Semiconductor Material

• Silicon (Si)
• Silicon Carbide (SiC)
• Gallium Nitride (GaN)

By Power Rating

• Low Power
• Medium Power
• High Power
• Ultra-High Power

By Data Center Power System

• Power Supply Units (PSUs)
• Uninterruptible Power Supply (UPS) Systems
• Power Distribution Units (PDUs)
• Server Power Systems
• Backup Power Systems

By AI Data Center Infrastructure

• AI Training Data Centers
• AI Inference Data Centers
• AI-Optimized Hyperscale Data Centers
• AI Enterprise Data Centers
• AI Colocation Data Centers

By Application

• AC-DC Power Conversion
• DC-DC Power Conversion
• Voltage Regulation
• Power Factor Correction
• Power Distribution
• Battery Charging & Energy Storage

By End User

• Hyperscale Data Center Operators
• Colocation Providers
• Cloud Service Providers
• Enterprise Data Center Operators
• AI Infrastructure Providers

Global AI Data Center Power Semiconductors Market Report Segment by Region

North America

• United States
• Canada

Europe

• UK
• Germany
• Italy
• Spain
• France
• Russia
• Rest of Europe

Asia-Pacific

• China
• India
• Japan
• South Korea
• Australia and New Zealand
• ASEAN Economies
• Rest of Asia-Pacific

Rest of the World

• Latin America
• Middle East & Africa

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