全球人工智慧資料中心配電市場規模、佔有率及成長預測（2026-2031年）

全球人工智慧資料中心配電市場預計將從 2026 年的 38.5 億美元成長到 2031 年的 96.5 億美元，在整個預測期內實現 20.2% 的複合年成長率。

傳統資料中心透過中壓商用電源連接、變壓器、交換器、不斷電系統。這種架構在傳統伺服器環境中仍然有效。人工智慧加速器顯著提高了每個機架內的功率密度。當一個機架需要數百千瓦的功率時，低電壓配電會導致電纜、連接器和銅母線結構中流過非常大的電流。這會導致導體面積增加、熱損耗增加、物理擁塞以及電氣設備所需的空間更大。高壓直流 (DC) 配電透過以較低電流提供高功率來解決這些限制。 NVIDIA 目前正在開發的架構在機架附近分配 800 VDC 電壓，從而減少了機房電源和 GPU 負載之間的轉換步驟。初始部署可以使用插口式電源機架或側櫃，它們可以接收傳統的交流電 (AC) 電源並在局部提供 800 VDC 電壓。這使得現有設施無需立即重新設計整棟建築的電氣系統即可容納新的人工智慧機架。因此，市場正在傳統高密度交流配電和新型直流架構兩種模式下同時發展。

市場促進因素

• 人工智慧機架密度的不斷提高，使得配電系統亟需重新設計。據Schneider Electric，人工智慧機架的功率密度已超過 400 千瓦，部分平台甚至接近兆瓦級。在這種功率密度下，傳統的配電方式將面臨更大的電流和更粗的電纜束。因此，配電架構正成為限制運算密度的重要阻礙因素，而不再只是設施選擇的背景因素。資料中心營運商正在探索採用高壓母線、更短的配電路徑、插接式電源轉換以及直流設計等方案，以便在相同的電力佔用範圍內部署更多運算資源。
• 隨著人工智慧處理能力的快速成長，所需的基礎設施也不斷擴展。麥肯錫基於其「持續成長情境」預測，全球人工智慧資料中心容量需求可能從2025年的約44吉瓦增加到2030年的約156吉瓦。同時，仲量聯行預測，到2030年，全球資料中心總容量將從103吉瓦增加到200吉瓦，其中人工智慧資料中心容量到2030年代末將佔一半。人工智慧專用容量的快速成長不僅需要替換現有的配電設施，而且還需要新的電力基礎設施。

800V直流電壓正在催生一個全新的設備生態系統。整個產業已迅速從概念階段邁向產品開發階段。 NVIDIA的架構得到了Google和微軟透過開放運算專案（Open Compute Project）的支援。Schneider Electric、伊頓、維迪沃、Delta和ABB等供應商正在開發相容的解決方案。Delta的660kW插接式電源機架和90kW直流/直流機架、ABB的Infinitus產品組合以及維迪沃計畫推出的800V直流平台都表明，這商機已擴展到電力轉換、配電、保護和儲能等領域。

市場限制因素

• 標準、保護功能以及現有設施改造的複雜性阻礙了直流電的全面普及。直流故障隔離、接地、連接器安全、維護程序和互通性都需要與傳統交流系統不同的設計方法。此外，現有設施在交流UPS、開關設備和配電設備方面已投入巨資。有鑑於這些原因，在完全原生800VDC普及之前，市場可能會經歷混合架構的發展階段。運營商必須在提高效率和密度的同時，兼顧認證風險和操作熟悉度。

目錄

第1章執行摘要

第2章：市場概述

• 市場概覽
• 市場區隔

第3章：商業環境

• 市場促進因素
  • 人工智慧機架密度的不斷增加，使得重新設計配電系統成為必要。
  • 人工智慧處理能力的快速擴展導致目標基礎設施的範圍不斷擴大。
  • 800伏特直流電正在創造一種新的設備生態系統。
• 市場限制因素
  • 標準、保護措施和維修的複雜性延緩了資料中心的全面部署。
• 市場機遇
• 波特五力分析
• 產業價值鏈分析
• 電氣安全、保護和互通性要求

第4章 技術展望

• 800VDC機架和低功率配電
• 大容量母線槽和匯流排
• 直流電源架和機架旁推車
• 固態保護與固態變壓器

第5章：全球人工智慧資料中心配電市場：依配電架構分類

• 高密度交流配電
• 54V直流機架配電
• 混合交流/800伏直流
• 原生800伏特直流電壓
• 中壓轉直流電/固態變壓器

第6章：全球人工智慧資料中心配電市場：依產品類型分類

• 公車專用道和匯流排
• 智慧貨架分銷
• 嵌入式力量架
• 直流電源架
• 配電/保護設備
• 其他規則

第7章：全球人工智慧資料中心配電市場：按機架功率密度分類

• 小於100千瓦
• 100～250 kW
• 250～500 kW
• 超過500千瓦

第8章：全球人工智慧資料中心配電市場：按資料中心類型分類

• 超大規模/人工智慧工廠
• 搭配
• 企業/私有人工智慧
• 模組化和邊緣人工智慧

第9章：全球人工智慧資料中心配電市場：依部署方式分類

• 新建設
• 維修/擴建

第10章：全球人工智慧資料中心配電市場：按地區分類

• 北美洲
  • 美國
  • 加拿大
  • 墨西哥
• 南美洲
  • 巴西
  • 智利
  • 其他南美國家
• 歐洲
  • 德國
  • 英國
  • 法國
  • 荷蘭
  • 其他歐洲國家
• 中東和非洲
  • 沙烏地阿拉伯
  • 阿拉伯聯合大公國
  • 南非
  • 其他中東和非洲國家
• 亞太地區
  • 中國
  • 日本
  • 印度
  • 韓國
  • 新加坡
  • 其他亞太國家

第11章：競爭環境與分析

• 主要公司及策略分析
• 市佔率分析
• 產品開發、夥伴關係和參考架構
• 競爭環境儀錶板

第12章：公司簡介

• Schneider Electric SE
• Vertiv Holdings Co.
• Eaton Corporation plc
• ABB Ltd.
• Delta Electronics, Inc.
• Siemens AG
• Legrand SA
• Rittal GmbH & Co. KG
• Socomec Group
• Huawei Digital Power Technologies Co., Ltd.
• nVent Electric plc
• Mitsubishi Electric Corporation
• Hitachi Energy Ltd.
• Mersen SA
• Panduit Corp.
• Bel Fuse Inc.
• Advanced Energy Industries, Inc.
• Vicor Corporation

第13章 近期趨勢

第14章附錄

The global AI data center power distribution market is anticipated to grow from USD 3.85 billion in 2026 to USD 9.65 billion by 2031, at a CAGR of 20.2% across the forecast period.

Traditional data centers distribute power through medium-voltage utility connections, transformers, switchgear, uninterruptible power supplies, busway and rack-level power distribution. That architecture remains effective for conventional server environments. AI accelerators materially increase power density inside each rack. When a rack requires several hundred kilowatts, distributing power at lower voltage forces very high current through cables, connectors and copper bus structures. This increases conductor size, thermal losses, physical congestion and the space required for electrical equipment. Higher-voltage direct-current distribution addresses these constraints by moving large amounts of power at lower current. NVIDIA's emerging architecture distributes 800 VDC closer to the rack and reduces the number of conversion stages between the facility power source and GPU load. Initial deployments can use an in-row power rack or sidecar that receives conventional AC and delivers 800 VDC locally. This allows existing facilities to support new AI racks without immediately redesigning the entire building electrical system. The market is therefore developing across both conventional high-density AC distribution and newer direct-current architectures.

Market Drivers

• AI rack density is forcing a redesign of power distribution. Schneider Electric notes that AI rack densities are moving beyond 400 kW and some platforms are approaching the megawatt range. At these levels, traditional distribution creates increasingly large current flows and cable bundles. Power-distribution architecture is therefore becoming an active constraint on compute density rather than a background facility choice. Data center operators are evaluating higher-voltage busway, shorter distribution paths, in-row conversion and direct-current designs to place more compute within the same electrical footprint.
• Rapid AI capacity growth expands the addressable infrastructure base. McKinsey estimates that global AI data center capacity demand could rise from roughly 44 GW in 2025 to about 156 GW in 2030 under its continued-momentum scenario. JLL separately expects total global data center capacity to rise from 103 GW to 200 GW by 2030, with AI accounting for half of capacity by the end of the decade. The pace of AI-specific capacity addition supports demand for new electrical infrastructure rather than merely replacement of existing power distribution.

800 VDC is creating a new equipment ecosystem. The industry has moved quickly from concept to product development. NVIDIA's architecture is supported by Google and Microsoft through the Open Compute Project. Schneider Electric, Eaton, Vertiv, Delta, ABB and other suppliers are developing compatible solutions. Delta's 660 kW in-row power rack and 90 kW DC/DC shelves, ABB's Infinitus portfolio and Vertiv's planned 800 VDC platform demonstrate that the opportunity spans conversion, distribution, protection and energy storage.

Market Restraints

• Standards, protection and retrofit complexity slow full DC adoption. Direct-current fault interruption, grounding, connector safety, service procedures and interoperability require different engineering practices from traditional alternating-current systems. Existing facilities also contain significant sunk investment in AC UPS, switchgear and distribution. For these reasons, the market is likely to evolve through hybrid architectures before fully native 800 VDC becomes common. Operators must balance efficiency and density gains against qualification risk and operational familiarity.

Technology and Segment Insights

800 VDC is emerging as the principal higher-voltage architecture for next-generation AI racks. Raising voltage reduces current for a given power level, allowing smaller conductor cross-sections and lower resistive losses. NVIDIA's reference architecture supports both rack-adjacent conversion in existing facilities and future data centers where 800 VDC is distributed more broadly through the electrical system.

• High-capacity busway and busbar remain important because AI halls require scalable delivery of very large loads across rows and racks. Higher-current busbars and open-rack architectures can reduce cable complexity and support modular additions. Eaton's NVIDIA-aligned reference design includes busbar-based distribution as part of the Open Rack v3 environment. This illustrates how conventional busway is evolving alongside direct-current architectures.
• DC power shelves and rack sidecars provide a practical bridge between existing AC facilities and 800 VDC compute systems. Delta's 660 kW in-row power rack converts AC to 800 VDC and can incorporate battery backup units. Separate DC/DC power shelves step 800 VDC down closer to the load. This approach removes significant power-conversion hardware from the compute rack and frees rack volume for accelerators and networking.
• Solid-state protection and solid-state transformers are emerging technologies. Solid-state circuit protection can interrupt DC faults faster than conventional mechanical breakers. It is increasingly relevant as distribution voltage and power density rise. Solid-state transformers offer a longer-term route to converting medium-voltage AC directly into 800 VDC. ABB's September 2026 Infinitus portfolio combines solid-state transformation, DC distribution and DC protection in an integrated source-to-rack architecture.
• The market is segmented by distribution architecture, product type, rack power density, data center type, deployment and geography. Distribution architectures include high-density AC distribution, 54 VDC rack distribution, hybrid AC and 800 VDC, native 800 VDC, and medium-voltage to DC and solid-state transformer. Product types include busway and busbar, intelligent rack power distribution, in-row power racks, DC power shelves, power distribution and protection devices, and other components. Rack power density bands include below 100 kW, 100-250 kW, 250-500 kW and above 500 kW. Data center types include hyperscale and AI factory, colocation, enterprise and private AI, and modular and edge AI. Deployments include new build and retrofit or expansion.
• High-density alternating-current systems remain the largest installed architecture in 2026 because current AI facilities were designed around established UPS, busway and rack power systems. Hybrid 800 VDC sidecars are positioned for faster near-term adoption because they allow new compute racks to be deployed within existing buildings. Native DC distribution is likely to expand most rapidly in purpose-built facilities designed around future accelerator generations.
• Busway and high-capacity rack distribution provide the physical path between upstream power equipment and AI racks. In-row power racks and DC power shelves add conversion and increasingly integrate short-duration energy storage. Protection devices, intelligent monitoring and high-power connectors gain importance as voltage and power density rise. Solid-state transformers remain an emerging category with substantial long-term potential.
• Racks below 100 kW can generally be supported with conventional high-density data center infrastructure. The 100-250 kW and 250-500 kW bands require heavier distribution and increasingly liquid-cooled compute. Racks above 500 kW place far greater pressure on conductor volume and power conversion. This makes 800 VDC and rack-adjacent distribution progressively more attractive.
• Hyperscale and dedicated AI factories represent the primary adoption base because they deploy the largest accelerator clusters and can justify purpose-built electrical architecture. Colocation operators are increasingly developing AI-ready halls but need flexible systems that can support mixed customer requirements. Enterprise data centers generally adopt high-density AI in smaller clusters and are more likely to use retrofit or modular power architectures.
• New-build facilities can optimize utility connection, transformer, busway and rack architecture around high-density compute from the beginning. Retrofit projects need to work within existing electrical rooms and distribution topology. Hybrid sidecar designs are particularly relevant to retrofits because they introduce 800 VDC close to the rack without replacing the full facility power chain.

Competitive and Strategic Outlook

• The market is led by established data center power-infrastructure suppliers that are adapting their portfolios to AI workloads. Schneider Electric, Vertiv, Eaton, ABB and Delta Electronics have all announced 800 VDC or high-density power initiatives. Legrand, Siemens, Rittal, Socomec and Huawei Digital Power compete across busway, rack power distribution, switching, monitoring and modular electrical infrastructure.
• The competitive focus is shifting from individual products toward coordinated grid-to-rack or source-to-rack architectures. Vendors that can combine conversion, distribution, energy storage, protection, monitoring and liquid-cooling coordination are better positioned for megawatt-scale AI deployments. Open ecosystem compatibility is also becoming important as hyperscalers seek to avoid locking future accelerator platforms to one electrical supplier.
• North America is the leading market because the United States contains the largest concentration of hyperscale cloud providers, AI model developers and new accelerator-intensive campuses. Goldman Sachs expects US data center power demand to reach 41 GW in 2026 and 66 GW in 2027. Scheduled capacity additions have accelerated sharply. This creates an unusually large near-term requirement for transformers, busway, distribution equipment and high-density rack power systems.
• The region is also the center of the emerging 800 VDC ecosystem. NVIDIA, Google and Microsoft are collaborating through the Open Compute Project. Eaton, Vertiv, Schneider Electric, Delta and ABB are developing compatible power architectures. The first deployments are likely to combine conventional facility AC infrastructure with rack-side or row-side 800 VDC conversion. This allows operators to introduce next-generation compute without waiting for an entirely new data center electrical standard.
• Grid-interconnection delays remain a constraint. This increases the value of modular deployment and electrical efficiency. As power availability becomes a limiting resource, reducing conversion losses and conductor requirements can translate directly into additional compute capacity from the same site. This makes power distribution a strategic component of AI data center economics rather than a secondary facility expense.
• Recent developments confirm accelerating market activity. In September 2026, ABB launched Infinitus, an integrated source-to-rack direct-current portfolio for AI data centers combining solid-state transformation, 800 VDC distribution and DC protection. In August 2026, NVIDIA detailed its 800 VDC AI-factory architecture and said more than 80 equipment and infrastructure companies were developing products around the specification. In May 2026, Delta expanded its 800 VDC AI-factory portfolio, including in-row power racks, DC/DC power shelves and integrated power-and-cooling systems. In April 2026, Delta presented a grid-to-chip infrastructure architecture at Data Center World 2026 capable of supporting up to 1.1 MW per rack using high-density DC power shelves and busbar distribution. In March 2026, Schneider Electric published guidance on 800 VDC architecture for AI data centers as rack density moved beyond the practical limits of conventional AC and 48/54 VDC distribution. In March 2026, Delta demonstrated a 660 kW 800 VDC in-row power rack with embedded battery backup at NVIDIA GTC 2026. In March 2026, Schneider Electric published five design principles for rack-level 800 VDC architectures, identifying rack-side power conversion as an immediate migration path. In October 2025, Eaton announced an NVIDIA-aligned 800 VDC reference architecture integrating busbar, supercapacitor backup, DC connectors and high-density power distribution.

Conclusion

• The global AI data center power distribution market is growing steadily as AI rack density pushes conventional electrical architectures toward their limits. Growth is driven by AI capacity expansion, the physical constraints of low-voltage distribution and the emergence of an 800 VDC equipment ecosystem. North America leads early deployment. Europe, Asia Pacific and the Middle East are developing along different grid, cost and construction conditions. Standards, protection complexity and retrofit constraints remain the key restraints. Hybrid architectures will dominate near-term adoption before native 800 VDC becomes common. Vendors with coordinated source-to-rack portfolios and open ecosystem compatibility are best positioned. The market is projected to grow from USD 3.85 billion in 2026 to USD 9.65 billion by 2031 at a CAGR of 20.2%.

Key Benefits of this Report

• Insightful Analysis: Detailed market insights across regions, customer segments, policies, socio-economic factors, consumer preferences, and industry verticals.
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Report Coverage

• Historical data from 2021 to 2024, Base year 2025, and Forecast years from 2026 to 2031
• Growth opportunities, challenges, supply chain outlook, regulatory framework, and trend analysis
• Competitive positioning, strategies, and market share evaluation, and trade analysis
• Revenue growth and forecast assessment across segments and regions
• Company profiling including strategies, products, financials, and key developments

TABLE OF CONTENTS

1. EXECUTIVE SUMMARY

2. MARKET SNAPSHOT

• 2.1. Market Overview
• 2.2. Market Segmentation

3. BUSINESS LANDSCAPE

• 3.1. Market Drivers
  • 3.1.1. AI Rack Density Is Forcing a Redesign of Power Distribution
  • 3.1.2. Rapid AI Capacity Growth Expands the Addressable Infrastructure Base
  • 3.1.3. 800 VDC Is Creating a New Equipment Ecosystem
• 3.2. Market Restraints
  • 3.2.1. Standards, Protection and Retrofit Complexity Slow Full DC Adoption
• 3.3. Market Opportunities
• 3.4. Porter's Five Forces Analysis
• 3.5. Industry Value Chain Analysis
• 3.6. Electrical Safety, Protection and Interoperability Requirements

4. TECHNOLOGICAL OUTLOOK

• 4.1. 800 VDC Rack and Row Distribution
• 4.2. High-Capacity Busway and Busbar
• 4.3. DC Power Shelves and Rack Sidecars
• 4.4. Solid-State Protection and Solid-State Transformers

5. GLOBAL AI DATA CENTER POWER DISTRIBUTION MARKET BY DISTRIBUTION ARCHITECTURE

• 5.1. High-Density AC Distribution
• 5.2. 54 VDC Rack Distribution
• 5.3. Hybrid AC / 800 VDC
• 5.4. Native 800 VDC
• 5.5. Medium-Voltage to DC / Solid-State Transformer

6. GLOBAL AI DATA CENTER POWER DISTRIBUTION MARKET BY PRODUCT TYPE

• 6.1. Busway and Busbar
• 6.2. Intelligent Rack Power Distribution
• 6.3. In-Row Power Racks
• 6.4. DC Power Shelves
• 6.5. Power Distribution and Protection Devices
• 6.6. Other Components

7. GLOBAL AI DATA CENTER POWER DISTRIBUTION MARKET BY RACK POWER DENSITY

• 7.1. Below 100 kW
• 7.2. 100-250 kW
• 7.3. 250-500 kW
• 7.4. Above 500 kW

8. GLOBAL AI DATA CENTER POWER DISTRIBUTION MARKET BY DATA CENTER TYPE

• 8.1. Hyperscale / AI Factory
• 8.2. Colocation
• 8.3. Enterprise / Private AI
• 8.4. Modular and Edge AI

9. GLOBAL AI DATA CENTER POWER DISTRIBUTION MARKET BY DEPLOYMENT

• 9.1. New Build
• 9.2. Retrofit / Expansion

10. GLOBAL AI DATA CENTER POWER DISTRIBUTION MARKET BY GEOGRAPHY

• 10.1. North America
  • 10.1.1. United States
  • 10.1.2. Canada
  • 10.1.3. Mexico
• 10.2. South America
  • 10.2.1. Brazil
  • 10.2.2. Chile
  • 10.2.3. Rest of South America
• 10.3. Europe
  • 10.3.1. Germany
  • 10.3.2. United Kingdom
  • 10.3.3. France
  • 10.3.4. Netherlands
  • 10.3.5. Rest of Europe
• 10.4. Middle East and Africa
  • 10.4.1. Saudi Arabia
  • 10.4.2. United Arab Emirates
  • 10.4.3. South Africa
  • 10.4.4. Rest of Middle East and Africa
• 10.5. Asia Pacific
  • 10.5.1. China
  • 10.5.2. Japan
  • 10.5.3. India
  • 10.5.4. South Korea
  • 10.5.5. Singapore
  • 10.5.6. Rest of Asia Pacific

11. COMPETITIVE ENVIRONMENT AND ANALYSIS

• 11.1. Major Players and Strategy Analysis
• 11.2. Market Share Analysis
• 11.3. Product Development, Partnerships and Reference Architectures
• 11.4. Competitive Dashboard

12. COMPANY PROFILES

• 12.1. Schneider Electric SE
• 12.2. Vertiv Holdings Co.
• 12.3. Eaton Corporation plc
• 12.4. ABB Ltd.
• 12.5. Delta Electronics, Inc.
• 12.6. Siemens AG
• 12.7. Legrand SA
• 12.8. Rittal GmbH & Co. KG
• 12.9. Socomec Group
• 12.10. Huawei Digital Power Technologies Co., Ltd.
• 12.11. nVent Electric plc
• 12.12. Mitsubishi Electric Corporation
• 12.13. Hitachi Energy Ltd.
• 12.14. Mersen S.A.
• 12.15. Panduit Corp.
• 12.16. Bel Fuse Inc.
• 12.17. Advanced Energy Industries, Inc.
• 12.18. Vicor Corporation

13. RECENT DEVELOPMENTS

14. APPENDIX

• 14.1. Currency
• 14.2. Assumptions
• 14.3. Base and Forecast Years Timeline
• 14.4. Abbreviations