![]() |
市場調查報告書
商品編碼
2119726
美國資料中心伺服器:市場佔有率分析、產業趨勢與統計及成長預測(2026-2031 年)United States Data Center Server - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2026 - 2031) |
||||||
※ 本網頁內容可能與最新版本有所差異。詳細情況請與我們聯繫。
根據 Mordor Intelligence 估計,美國資料中心伺服器市場在 2026 年的價值將達到 339.2 億美元,高於 2025 年的 312.9 億美元,預計到 2031 年將達到 508.3 億美元。
預計 2026 年至 2031 年的複合年成長率為 8.42%。

本報告以「類型」(一級、二級等)、「外形規格」(半高刀片式等)、「最終用戶產業」(銀行、金融服務和保險、製造業等)、「資料中心類型」(超大規模資料中心業者資料中心/雲端服務供應商等)和「應用程式/工作負載」(虛擬化和私有雲端、以儲存為中心的應用程式等)對產業進行分類。市場預測以美元計價。
亞馬遜、微軟、Google和Meta計畫在2025年總合超過3,200億美元用於資料中心建置。隨著這些公司追求更高的運算密度以支援人工智慧,伺服器更換週期預計將延長至五年。光是亞馬遜一項1000億美元的投資預計就會因折舊免稅額導致7億美元的營業利潤減少,但同時也將縮短其先進水冷機架的投資回收期。聯邦機構也正在效仿,能源部已將16個高密度伺服器設施的建設列為優先事項,預計2027年投入運作。預計這將進一步加劇維吉尼亞和奧勒岡州的伺服器需求高峰。
據金融機構稱,84%的高階主管對人工智慧基礎設施不足可能導致的災難性資料遺失表示擔憂。銀行業模型的準確率仍只有21%,這促使企業加大對支援向量處理和大容量記憶體的伺服器的投資。在醫療保健系統中,人工智慧正被用於診斷和記錄保存,推動機架密度高達50千瓦。製造業正在邊緣節點上部署工業4.0應用,將5G與微型資料中心外形規格結合。聯想的ThinkSystem V4平台透過將機架密度提高2.5倍,並將每瓦效能提高2.4倍,實現了其效率目標。
2024年,安全漏洞的平均成本將達到556萬美元,而每次漏洞造成的停機成本超過10萬美元,因此整體擁有成本(TCO)更高。由於安全方面的擔憂,42%的銀行正在將其人工智慧工作負載從公共雲端遷移,這導致本地環境的擴張、採購週期的延長以及資本支出(CapEx)的增加。 CloudNordic遭受的勒索軟體攻擊導致客戶資料完全遺失,這是一個最糟糕的情況,並促使零信任架構和生物識別存取控制得到更廣泛的應用。
2025年,三級資料中心占美國資料中心伺服器市場收入的65.70%。四級資料中心雖然規模較小,但預計隨著超大規模資料中心業者在完全容錯的機房中部署人工智慧訓練叢集,其複合年成長率將達到12.79%。這些機房一旦故障,損失可能超過10萬美元。預計從2026年到2031年,四級資料中心在美國資料中心伺服器市場的佔有率將快速成長。鑑於預計到2027年每個機架的功率密度將達到50千瓦,四級資料中心規範在聯邦政府的人工智慧賦能計畫中被列為優先事項,該計畫旨在將16個設施指定為人工智慧賦能設施。
在分散式邊緣節點中,成本效益優先於最大冗餘,因此一級和二級設計仍然發揮著至關重要的作用。金融服務業向四級架構的轉變,是由更嚴格的合規要求和更高的資料外洩處罰所驅動的。總體而言,容錯性的重要性鞏固了四級架構作為成長最快細分市場的地位,重塑了託管升級藍圖,並推動了液冷技術的維修。
受虛擬化工作負載需求的推動,半高刀鋒伺服器在2025年仍維持48.54%的市佔率。同時,隨著營運商將機架整合為20英尺邊緣模組,四分之一高微型刀鋒伺服器的市佔率正以13.87%的複合年成長率成長。因此,預計到2031年,美國資料中心伺服器微型刀片部署的市場規模將持續成長。 EdgeMicro在城市地區的部署案例以及製造業的工業4.0先導計畫凸顯了向緊湊型、節能型硬體的轉變趨勢。
儘管全高刀片伺服器仍然在高效能運算叢集集中使用,但每個機架的功耗限制使得微型刀鋒伺服器結合晶片級液冷技術越來越受歡迎。超大規模資料中心業者正在選擇性地採用微型刀片伺服器平台來建立人工智慧推理節點,以平衡密度和記憶體頻寬需求。
According to Mordor Intelligence, the United States data center server market size in 2026 is estimated at USD 33.92 billion, growing from 2025 value of USD 31.29 billion with 2031 projections showing USD 50.83 billion, growing at 8.42% CAGR over 2026-2031.

This report Segments the Industry Into Type (Tier 1, Tier 2, and More), Form Factor(Half-Height Blades, and More), End-User Verticals (BFSI, Manufacturing, and More), Data Center Type(Hyperscalers/Cloud Service Provider, and More) and by Application / Workload (Virtualisation and Private Cloud, Storage-Centric and More). The Market Forecasts are Provided in Terms of Value (USD).
Amazon, Microsoft, Google, and Meta collectively plan to spend more than USD 320 billion on data centers in 2025, extending server replacement cycles to five years as firms pursue AI compute density. Amazon's USD 100 billion allocation alone is estimated to add a USD 700 million operating-income drag due to accelerated depreciation, yet it shortens payback periods for advanced liquid-cooled racks. Federal agencies are mirroring the trend; sixteen Department of Energy sites have been fast-tracked for server-dense builds, with online availability expected by 2027, reinforcing demand peaks in Virginia and Oregon.
Financial institutions cite an 84% concern among executives over catastrophic data loss if AI infrastructure falls short. Accuracy levels of only 21% in banking models spur investment in servers optimized for vector processing and larger memory footprints. Healthcare systems leverage AI for diagnostics and documentation, driving rack densities up to 50 kW. Manufacturing groups are adopting Industry 4.0 applications on edge nodes, combining 5G and micro-data center form factors. Lenovo's ThinkSystem V4 platform achieves 2.5X rack density and 2.4X performance-per-watt gains, underscoring its efficiency goals.
Average breach costs of USD 5.56 million in 2024, combined with downtime expenses exceeding USD 100,000 per event, elevate the total cost of ownership. Forty-two percent of banks have migrated AI workloads away from public clouds due to security concerns, prompting on-premises build-outs that lengthen procurement cycles and increase CapEx. Ransomware events, such as CloudNordic's total customer data loss, illustrate worst-case scenarios compelling wider adoption of zero-trust architectures and biometric access controls.
Other drivers and restraints analyzed in the detailed report include:
For complete list of drivers and restraints, kindly check the Table Of Contents.
Tier 3 installations delivered 65.70% of revenue in 2025, anchoring the United States data center server market. Tier 4, though smaller, is projected to rise at 12.79% CAGR as hyperscalers assign AI training clusters to fully fault-tolerant halls where a single outage can cost over USD 100,000. The United States data center server market size contribution from Tier 4 is projected to grow steeply between 2026 and 2031. Federal programs that earmark sixteen sites for AI-ready builds favor Tier 4 specifications, given 50 kW-per-rack power densities anticipated by 2027.
Tier 1 and Tier 2 designs remain relevant for distributed edge nodes prioritizing cost efficiency over maximum redundancy. Financial-services migration toward Tier 4 also stems from stricter compliance and rising breach penalties. Altogether, the resilience imperative cements Tier 4 as the fastest-moving slice, reshaping colocation upgrade roadmaps and guiding liquid-cooling retrofits.
Half-height blades retained 48.54% market share in 2025 on the strength of virtualization workloads. Yet quarter-height micro-blades are climbing at 13.87% CAGR as operators compress racks into 20-foot edge modules. The United States data center server market size for micro-blade deployments is thus on an upward trajectory through 2031. EdgeMicro's city-center installs and manufacturing-sector Industry 4.0 pilots highlight the swing toward compact, energy-efficient hardware.
Full-height blades continue serving HPC clusters, but power-per-rack limits increasingly favor micro-blades paired with direct-to-chip liquid cooling. Hyperscalers are selectively adopting micro-blade platforms for AI inference nodes, balancing density against memory bandwidth needs.