Infineon Technologies has been identified as “the company to beat” in AI data center power semiconductors in Gartner’s recent report, AI Vendor Race: Infineon Is the Company to Beat in AI Data Center Power Semiconductors. According to the report, Infineon’s leadership is driven by its comprehensive product portfolio, extensive manufacturing capabilities, and early investments in advanced semiconductor technologies, particularly silicon carbide (SiC) and gallium nitride (GaN).
The recognition highlights Infineon’s growing role in addressing one of the industry’s most significant challenges: delivering highly efficient power conversion solutions capable of supporting the rapidly increasing power demands of AI data centers.
A key differentiator identified in the Gartner report is Infineon’s ability to provide semiconductor solutions across the entire AI power delivery chain rather than focusing on individual subsystems.
Infineon’s portfolio spans every major stage of power conversion, including:
- Solid-state transformers (SSTs)
- Power supply units (PSUs)
- Energy storage systems (ESS)
- Intermediate bus converters (IBCs)
- Processor-level voltage regulation and power management
This “grid-to-core” approach enables system designers to optimize efficiency throughout every power conversion stage, helping reduce cumulative energy losses across hyperscale AI data centers while improving overall system reliability and thermal performance.
As AI server racks continue moving toward significantly higher power levels, efficient power conversion at every stage has become increasingly critical to reducing operational costs and meeting sustainability objectives.
Infineon’s competitive advantage is further strengthened by its broad semiconductor technology portfolio, which combines conventional silicon with wide-bandgap semiconductor technologies.
According to Gartner, the company’s early investments in silicon carbide and gallium nitride position it well for next-generation AI infrastructure, particularly emerging 800 VDC power architectures.
Infineon applies each semiconductor technology where it offers the greatest system benefit:
- Silicon carbide (SiC) for high-voltage, high-efficiency power conversion from the utility grid to rack-level infrastructure.
- Gallium nitride (GaN) for high-frequency, high-power-density intermediate conversion stages.
- Silicon (Si) for processor-level power management and control functions.
By selecting the optimal semiconductor material for each conversion stage, Infineon aims to minimize energy losses while maximizing power density and overall system efficiency.
While Gartner identifies Infineon as the current market leader, the report also notes that competition is intensifying.
Growing investment in SiC and GaN technologies, along with competitors focused on processor-level and compute-board power delivery, is increasing competitive pressure throughout the AI power semiconductor ecosystem.
Infineon’s response centers on leveraging its broad product portfolio and system-level expertise to deliver integrated power solutions that span the entire power delivery architecture rather than isolated components.
Infineon projects approximately €2.5 billion in AI-related revenue during fiscal year 2027, reflecting the company’s expectations for continued expansion across AI infrastructure markets.
The forecast is supported by demand for increasingly efficient power delivery systems capable of supporting next-generation AI clusters, high-density GPU servers, and higher-voltage power architectures.
While AI data centers remain a major growth opportunity, Infineon is also expanding its focus toward Physical AI applications.
The company is working with system integrators, technology partners, and data center operators to develop next-generation AI power architectures while simultaneously supporting emerging intelligent machines including:
- Humanoid robots
- Collaborative robots (cobots)
- Autonomous systems
- Intelligent industrial automation
Infineon’s portfolio extends beyond power semiconductors to include:
- Microcontrollers
- Power management solutions
- Sensors
- Connectivity technologies
- Functional safety solutions
- Cybersecurity technologies
This broad technology base enables the company to support complete electronic platforms for intelligent machines capable of sensing, processing information, and interacting safely with the physical world.
Infineon also highlighted the significant long-term opportunity represented by Physical AI.
Based on industry projections referenced by the company, the global robotics market could reach up to $1.7 trillion by 2050, with approximately 300 million humanoid robots deployed worldwide. Given an estimated semiconductor bill of materials of around $500 per humanoid robot, the company views intelligent robotics as one of the largest future growth opportunities for the semiconductor industry.
From electrical grid infrastructure through AI data centers to autonomous machines operating in factories and commercial environments, Infineon continues to position its semiconductor portfolio around the complete AI ecosystem, spanning both digital infrastructure and the rapidly emerging Physical AI market.
Original – Infineon Technologies