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Global Magnetic Materials Used in AI Servers Market Strategic Research Report

Global Magnetic Materials Used in AI Servers Market Strategi…
$3,500 USD
Market Research Reports
Strategic Research Report
Global Magnetic Materials Used in AI Servers Market
$45.392025
22.1%CAGR
2032Forecast
Market Research Reports · Global
Market Research Reports Intelligence Series

By Type: Soft Magnetic Metals, Amorphous and Nanocrystalline Powders

By Application: GPU Server, ASIC Server, FPGA Server, Others

Regional Forecast: Asia Pacific, Latin America, MEA, Europe, North America

Key Players: POCO Magnetic, DMEGC, ZheJiang NBTM KeDa (KDM), TDG, 龙磁科技, Chang Sung Corporation, Acadian Seaplants, Shandong Sukahan Bio-Technology

Region: Global
Formats: PDF, Excel, Word & PowerPoint
Base year: 2025 · forecast to 2032
Length: 102 pages
Market size 2025
$45.39
Million USD
Forecast CAGR
22.1%
2025-2032
Forecast 2032
$183.6
Projected
Regionen
5
Asia Pacific · Latin America · MEA · Europe · North America

Übersicht

Scope of the Report

The global Magnetic Materials Used in AI Servers market size is predicted to grow from US$ 45.39 million in 2025 to US$ 198 million in 2032; it is expected to grow at a CAGR of 22.1% from 2026 to 2032.

In 2025, the global production of Magnetic Materials Used in AI Servers reached 7,700 tons, with an average selling price of US$63,000 per ton, a gross profit margin of approximately 40%, and a production capacity of approximately 8,500 tons.

In AI servers, magnetic materials are key fundamental materials supporting high-power, high-efficiency, and high-reliability operation. With the large-scale deployment of accelerators such as GPUs and ASICs in AI servers, the power consumption of a single machine has rapidly increased to several kilowatts or even higher, placing far higher demands on power conversion efficiency and power density than traditional servers. This has significantly increased the importance of magnetic materials. The demand for magnetic materials in AI servers is rapidly evolving towards high frequency, low loss, high power density, miniaturization, and high reliability. Magnetic materials have transformed from traditional general-purpose electronic component materials into strategic key materials that directly affect the performance, energy efficiency, and long-term stable operation of AI servers.

Global key Magnetic Materials Used in AI Servers players cover POCO Magnetic, DMEGC, ZheJiang NBTM KeDa (KDM), TDG, 龙磁科技, etc.

Key Questions Addressed in this Report

What is the 10-year outlook for the global Magnetic Materials Used in AI Servers market?

What factors are driving Magnetic Materials Used in AI Servers market growth, globally and by region?

Which technologies are poised for the fastest growth by market and region?

How do Magnetic Materials Used in AI Servers market opportunities vary by end market size?

How does Magnetic Materials Used in AI Servers break out by Type, by Application?

This report presents a comprehensive overview of the global Magnetic Materials Used in AI Servers market, covering market size and forecast, segmentation by product type and application, competitive landscape, leading players and regional and country-level outlook.

Segment by Type

  • Soft Magnetic Metals
  • Amorphous and Nanocrystalline Powders

Segment by Material

  • MPP
  • Sendust
  • High Flux
  • Fe-Si
  • Others

Segment by Application

  • GPU Server
  • ASIC Server
  • FPGA Server
  • Others

Who Can Use This Report?

This report is written for decision-makers who need a clear, data-backed view of the global Magnetic Materials Used in AI Servers market:

  • Manufacturers, suppliers and solution providers benchmarking their position and planning product, capacity and go-to-market strategy
  • Distributors, channel partners and end users in GPU Server, ASIC Server, FPGA Server evaluating demand and sourcing options
  • Investors, financial analysts and consultants assessing growth opportunities, competitive dynamics and M&A potential
  • Government agencies, industry associations and research institutions tracking industry developments and policy impact

Market snapshot

Global Magnetic Materials Used in AI Servers Market Strategic Research Report snapshot, 2025–2032

Source: Market Research Reports
Market size CAGR 22.1%
Regional growth momentum
Market share by segment
Key metrics
Base value
$45.39
2025
Forecast
$183.6
2032
CAGR
22.1%
2025–2032
Regionen
5
global
Key companies
POCO MagneticDMEGCZheJiang NBTM KeDa (KDM)TDG龙磁科技Chang Sung CorporationAcadian SeaplantsShandong Sukahan Bio-Technology
© MarketResearchReports.comDisclaimer: The actual data may vary in the final report which undergoes verification check post order confirmation.

Segments covered in this report

By Type
Soft Magnetic MetalsAmorphous and Nanocrystalline Powders
By Application
GPU ServerASIC ServerFPGA ServerOthers

Table of contents

Click a chapter to expand
01Executive Summary
02Industry Overview & Forecast
  • 2.1.1 Market Definition and Scope
  • 2.1.2 Market Size and Growth Forecast
  • 2.1.3 Volume Analysis
  • 2.1.4 Segment Outlook by Type
  • 2.1.5 Segment Outlook by Application
  • 2.1.6 Regional Outlook
  • 2.1.7 Structural Developments Shaping the Forecast
  • 2.1.8 Forecast Risks and Sensitivities
03Market Segmentation by Type
  • 3.1 Market Segmentation by Type
  • 3.1.1 Market by Type Overview
  • 3.1.2 Soft Magnetic Metals
  • 3.1.3 Amorphous and Nanocrystalline Powders
  • 3.1.4 Volume Analysis
04Market Segmentation by Application
  • 4.1 Market Segmentation by Application
  • 4.1.1 Market by Application Overview
  • 4.1.2 GPU Server
  • 4.1.3 ASIC Server
  • 4.1.4 FPGA Server
  • 4.1.5 Others
  • 4.1.6 Volume Analysis
05Regional Market Forecast
  • Asia Pacific
  • North America
  • Europe
  • Middle East & Africa
  • Latin America
06Country-Level Market Forecast
  • 6.1 Asia Pacific
  • 6.1.1 China
  • 6.1.2 Japan
  • 6.1.3 Korea
  • 6.1.4 Southeast Asia
  • 6.1.5 India
  • 6.1.6 Australia
  • 6.1.7 Rest of Asia Pacific
  • 6.2 North America
  • 6.2.1 United States
  • 6.2.2 Canada
  • 6.2.3 Mexico
  • 6.2.4 Rest of North America
  • 6.3 Europe
  • 6.3.1 Germany
  • 6.3.2 France
  • 6.3.3 UK
  • 6.3.4 Italy
  • 6.3.5 Russia
  • 6.3.6 Rest of Europe
  • 6.4 Middle East & Africa
  • 6.4.1 Egypt
  • 6.4.2 South Africa
  • 6.4.3 Israel
  • 6.4.4 Turkey
  • 6.4.5 GCC Countries
  • 6.4.6 Rest of Middle East & Africa
  • 6.5 Latin America
  • 6.5.1 Brazil
  • 6.5.2 Rest of Latin America
07Growth Drivers & Inhibitors
  • 7.1 Growth Drivers & Inhibitors
  • 7.1.1 Section Overview
  • 7.1.2 Growth Drivers
  • 7.1.3 Growth Inhibitors
  • 7.1.4 Driver and Inhibitor Impact Assessment
  • 7.1.5 Analyst Perspective
08Key Company Profiles
  • 8.1 POCO Magnetic
  • 8.1.1 Company Overview
  • 8.1.2 Key Products & Segments
  • 8.1.3 Financial Performance (2023–2025)
  • 8.1.4 Business Strategy
  • 8.1.5 SWOT Analysis
  • 8.1.6 Strategic Implications (2026–2032)
  • 8.2 DMEGC
  • 8.2.1 Company Overview
  • 8.2.2 Key Products & Segments
  • 8.2.3 Financial Performance (2023–2025)
  • 8.2.4 Business Strategy
  • 8.2.5 SWOT Analysis
  • 8.2.6 Strategic Implications (2026–2032)
  • 8.3 ZheJiang NBTM KeDa (KDM)
  • 8.3.1 Company Overview
  • 8.3.2 Key Products & Segments
  • 8.3.3 Financial Performance (2023–2025)
  • 8.3.4 Business Strategy
  • 8.3.5 SWOT Analysis
  • 8.3.6 Strategic Implications (2026–2032)
  • 8.4 TDG
  • 8.4.1 Company Overview
  • 8.4.2 Key Products & Segments
  • 8.4.3 Financial Performance (2023–2025)
  • 8.4.4 Business Strategy
  • 8.4.5 SWOT Analysis
  • 8.4.6 Strategic Implications (2026–2032)
  • 8.5 龙磁科技
  • 8.5.1 Company Overview
  • 8.5.2 Key Products & Segments
  • 8.5.3 Financial Performance (2023–2025)
  • 8.5.4 Business Strategy
  • 8.5.5 SWOT Analysis
  • 8.5.6 Strategic Implications (2026–2032)
  • 8.6 Chang Sung Corporation
  • 8.6.1 Company Overview
  • 8.6.2 Key Products & Segments
  • 8.6.3 Financial Performance (2023–2025)
  • 8.6.4 Business Strategy
  • 8.6.5 SWOT Analysis
  • 8.6.6 Strategic Implications (2026–2032)
  • 8.7 Acadian Seaplants
  • 8.7.1 Company Overview
  • 8.7.2 Key Products & Segments
  • 8.7.3 Financial Performance (2023–2025)
  • 8.7.4 Business Strategy
  • 8.7.5 SWOT Analysis
  • 8.7.6 Strategic Implications (2026–2032)
  • 8.8 Shandong Sukahan Bio-Technology
  • 8.8.1 Company Overview
  • 8.8.2 Key Products & Segments
  • 8.8.3 Financial Performance (2023–2025)
  • 8.8.4 Business Strategy
  • 8.8.5 SWOT Analysis
  • 8.8.6 Strategic Implications (2026–2032)
09Competitive Landscape
  • 9.1 Competitive Landscape Overview
  • 9.2 Competitive Intensity Assessment
  • 9.3 Key Player Strategies & Positioning
  • 9.4 Competitive Dynamics & Strategic Outlook
  • 9.4.1 Emerging Competitive Threats
  • 9.4.2 Consolidation vs. Fragmentation Outlook
  • 9.4.3 Competitive Response Matrix
  • 9.4.4 Strategic Recommendations, 2026–2032
10Porter's Five Forces Analysis
  • 10.1 Threat of New Entrants
  • 10.2 Bargaining Power of Buyers
  • 10.3 Bargaining Power of Suppliers
  • 10.4 Threat of Substitutes
  • 10.5 Competitive Rivalry
11PESTLE Analysis
  • 11.1 Political
  • 11.2 Economic
  • 11.3 Social and Demographic
  • 11.4 Technological
  • 11.5 Legal and Regulatory
  • 11.6 Environmental
  • 11.7 Strategic Implications of the PESTLE Assessment
12SWOT Analysis
13Future Trends & Outlook
  • 13.1 Future Trends & Outlook
  • 13.1.1 Trend Summary and Commercial Maturity Assessment
  • 13.1.2 Technology and Innovation Trends
  • 13.1.3 Long-Term Market Outlook
  • 13.1.4 Investment & M&A Activity Outlook
  • 13.1.5 Overall Outlook Assessment

Frequently asked questions

What is the current global Magnetic Materials Used in AI Servers market size?
The global Magnetic Materials Used in AI Servers market is estimated at US$ 45.39 million in 2025 (base year) and is projected to reach US$ 198 million by 2032.
What growth rate is expected for the Magnetic Materials Used in AI Servers market through 2032?
The market is expected to grow at a CAGR of 22.1% from 2026 to 2032, expanding from US$ 45.39 million in 2025 to US$ 198 million in 2032, roughly 4.4 times its base-year value.
How is Magnetic Materials Used in AI Servers defined?
In 2025, the global production of Magnetic Materials Used in AI Servers reached 7,700 tons, with an average selling price of US$63,000 per ton, a gross profit margin of approximately 40%, and a production capacity of approximately 8,500 tons.
What are the main segments of the Magnetic Materials Used in AI Servers market by type?
By type, the market is segmented into Soft Magnetic Metals and Amorphous and Nanocrystalline Powders.
Which applications drive demand in the Magnetic Materials Used in AI Servers market?
Key applications covered include GPU Server, ASIC Server, FPGA Server and Others.
Who are the key players in the Magnetic Materials Used in AI Servers market?
Key players profiled include POCO Magnetic, DMEGC, ZheJiang NBTM KeDa (KDM), TDG, 龙磁科技, Chang Sung Corporation, Acadian Seaplants and Shandong Sukahan Bio-Technology.
Which regions and countries are covered for Magnetic Materials Used in AI Servers?
The market is analysed across Asia Pacific, North America, Europe, Middle East & Africa and Latin America, with 20 country-level markets including China, Japan, United States, Canada, Germany, France, Egypt and South Africa.
What is driving growth in the Magnetic Materials Used in AI Servers market?
What factors are driving Magnetic Materials Used in AI Servers market growth, globally and by region?
Who should buy the Magnetic Materials Used in AI Servers market report?
The report is intended for manufacturers and solution providers, distributors and end users in GPU Server, ASIC Server and FPGA Server, investors and consultants, and government or industry bodies who need market size, segmentation, competitive and regional data for the Magnetic Materials Used in AI Servers market.
What license options are available for this report?
The report is available as a Single User License (US$ 3,500, one named user), a Site License (US$ 5,250, up to 10 users) and a Global / Corporate License (US$ 7,000, unlimited users), all delivered in PDF format.

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01
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02
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Dual-validation approach: bottom-up sizing aggregates segment-level production, consumption, and trade data; top-down sizing cross-validates against macroeconomic indicators and total addressable market estimates. Discrepancies >5% trigger analyst review.

03
Competitive Intelligence

Company profiles built from public financial disclosures, product launches, M&A activity, job postings (as capability proxies), and supply chain mapping. Market share estimates triangulated across revenue, capacity, and shipment data.

04
Demand Forecasting

CAGR projections use time-series regression on 5-10 years of historical data, adjusted for identified demand drivers (technology adoption curves, regulatory catalysts, demographic shifts) and demand inhibitors (cost barriers, substitution risk). Scenario modeling covers base, optimistic, and conservative cases.

05
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