Digital Power Controller for AI Server Latest Market Report 2025
On Oct 31, Global Info Research released "Global Digital Power Controller for AI Server Market 2025 by Manufacturers, Regions, Type and Application, Forecast to 2031". This report includes an overview of the development of the Digital Power Controller for AI Server industry chain, the market status of Digital Power Controller for AI Server Market, and key enterprises in developed and developing market, and analysed the cutting-edge technology, patent, hot applications and market trends of Digital Power Controller for AI Server.
According to our (Global Info Research) latest study, the global Digital Power Controller for AI Server market size was valued at US$ 127 million in 2024 and is forecast to a readjusted size of USD 511 million by 2031 with a CAGR of 22.1% during review period.
In this report, we will assess the current U.S. tariff framework alongside international policy adaptations, analyzing their effects on competitive market structures, regional economic dynamics, and supply chain resilience.
A digital power controller for AI servers is a high-performance, highly integrated power management chip based on a digital signal processor or dedicated ASIC, specifically designed for AI computing servers. Its core function is to serve as the "intelligent brain" of the entire power supply system. Through real-time sampling, digital computation, and closed-loop control, it precisely manages the power supply (e.g., VCORE, VDD) for multi-phase (X-phase) CPUs, GPUs, ASICs, and other core computing units. It must meet the AI server's stringent requirements for ultra-high power density, extremely fast dynamic response (nanosecond level), ultra-high accuracy (millivolt level), multi-phase management, and intelligent power monitoring. It communicates with the baseboard management (BMC) via digital interfaces such as PMBus/I²C to implement power capping, fault prediction, and energy efficiency optimization. It serves as the "power command center" that ensures the stable release of AI computing power. By 2024, production of digital power controllers for AI servers will reach approximately 8.2 million units, with an average global market price of approximately US per unit. The upstream supply chain comprises advanced wafer foundry and high-speed IP, the midstream focuses on complex digital control algorithms and multi-phase architecture design, and the downstream is comprised of high-end server and GPU accelerator card manufacturers. Production capacity is limited by the allocation of advanced process capacity. The gross profit margin is extremely high, approximately 60-70%, due to the extremely high technical barriers and its key role in AI computing efficiency.
The digital power controller market for AI servers is experiencing a period of robust growth, driven by the global AI computing arms race. Its prospects are deeply tied to the deployment of high-performance computing clusters, the demand for large-scale model training, and the widespread adoption of edge inference devices. These trends place unprecedented demands on chips for ultra-high control precision, ultra-fast dynamic response, and intelligent management capabilities. Leveraging its leading cloud computing giants, leading chip design companies, and active venture capital, the North American market maintains a dominant position at the source of technological innovation and the high-end market ecosystem, controlling the core value of the industry chain. The Asia-Pacific market, particularly Taiwan and mainland China, dominates production and large-scale applications, driven by their world-leading semiconductor manufacturing capabilities, massive data center construction demand, and well-developed electronics supply chains, making them the region with the strongest demand growth. European companies maintain their presence in specific industrial and scientific research applications, while the global innovation network exhibits a multi-polar, interconnected, and complementary structure. Open source ecosystems and standards alliances are accelerating technology diffusion and collaborative development.
This report is a detailed and comprehensive analysis for global Digital Power Controller for AI Server market. Both quantitative and qualitative analyses are presented by manufacturers, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2025, are provided.
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https://www.globalinforesearch.com/reports/3075897/digital-power-controller-for-ai-server
Market segment by Type: DSP-Based Controller、 ASIC-Based Controller
Market segment by Application: GPU Core Power Supply、 CPU Core Power Supply、 ASIC Core Power Supply、 Others
Major players covered: TI、 Infineon、 MPS、 Analog Devices、 Microchip Technology、 Aura Semiconductor、 JoulWatt Technology、 Alpha and Omega Semiconductor、 Renesas、 Reed Semiconductor、 Richtek Technology Corporation、 Hynetek Semiconductor、 3PEAK
Market segment by region, regional analysis covers: North America (United States, Canada and Mexico), Europe (Germany, France, United Kingdom, Russia, Italy, and Rest of Europe), Asia-Pacific (China, Japan, Korea, India, Southeast Asia, and Australia),South America (Brazil, Argentina, Colombia, and Rest of South America),Middle East & Africa (Saudi Arabia, UAE, Egypt, South Africa, and Rest of Middle East & Africa).
The content of the study subjects, includes a total of 15 chapters:
Chapter 1, to describe Digital Power Controller for AI Server product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top manufacturers of Digital Power Controller for AI Server, with price, sales, revenue and global market share of Digital Power Controller for AI Server from 2020 to 2025.
Chapter 3, the Digital Power Controller for AI Server competitive situation, sales quantity, revenue and global market share of top manufacturers are analyzed emphatically by landscape contrast.
Chapter 4, the Digital Power Controller for AI Server breakdown data are shown at the regional level, to show the sales quantity, consumption value and growth by regions, from 2020 to 2031.
Chapter 5 and 6, to segment the sales by Type and application, with sales market share and growth rate by type, application, from 2020 to 2031.
Chapter 7, 8, 9, 10 and 11, to break the sales data at the country level, with sales quantity, consumption value and market share for key countries in the world, from 2020 to 2024.and Digital Power Controller for AI Server market forecast, by regions, type and application, with sales and revenue, from 2025 to 2031.
Chapter 12, market dynamics, drivers, restraints, trends and Porters Five Forces analysis.
Chapter 13, the key raw materials and key suppliers, and industry chain of Digital Power Controller for AI Server.
Chapter 14 and 15, to describe Digital Power Controller for AI Server sales channel, distributors, customers, research findings and conclusion.
Data Sources:
Via authorized organizations:customs statistics, industrial associations, relevant international societies, and academic publications etc.
Via trusted Internet sources.Such as industry news, publications on this industry, annual reports of public companies, Bloomberg Business, Wind Info, Hoovers, Factiva (Dow Jones & Company), Trading Economics, News Network, Statista, Federal Reserve Economic Data, BIS Statistics, ICIS, Companies House Documentsm, investor presentations, SEC filings of companies, etc.
Via interviews. Our interviewees includes manufacturers, related companies, industry experts, distributors, business (sales) staff, directors, CEO, marketing executives, executives from related industries/organizations, customers and raw material suppliers to obtain the latest information on the primary market;
Via data exchange. We have been consulting in this industry for 16 years and have collaborations with the players in this field. Thus, we get access to (part of) their unpublished data, by exchanging with them the data we have.
Via our long-term tracking and gathering of data from this industry.We have a database that contains history data regarding the market.
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