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市場調查報告書
商品編碼
2119874
美國資料中心網路: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 Networking - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2026 - 2031) |
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根據 Mordor Intelligence 預測,美國資料中心網路市場規模將從 2025 年的 81.8 億美元成長到 2026 年的 85.2 億美元,然後在 2031 年達到 104.3 億美元,2026 年至 2031 年的複合年成長率為 4.14%。

本報告按組件(產品和服務)、最終用戶(IT和電信、銀行、金融服務和保險 (BFSI)、政府和國防、其他)、資料中心類型(託管、超大規模資料中心業者雲端服務供應商、邊緣和微型資料中心)以及頻寬(10GbE 以下、25-40GbE、其他)進行細分。市場預測以美元計價。
超大規模營運商正在重構其網路,以應對人工智慧工作負載,這些工作負載的資料處理量是傳統應用程式的 10 到 100 倍。 Meta 在其訓練叢集採用 Arista 7700R4 平台,顯示無阻塞、Terabit特級東西向網路架構的應用日益普及,這種架構能夠降低分散式 GPU 的延遲。微軟斥資 800 億美元建設人工智慧基礎設施,AWS 也斥資 300 億美元進行擴張,凸顯了市場對人工智慧專用交換器、光學模組和網路卡的激增需求。 NVIDIA 和 AMD 的客製化晶片也表明,營運商更傾向於使用高度整合的 800G 組件,而非通用設備。
向 400G 和 800G 的過渡是自 10GbE 以來最大的飛躍,其驅動力來自 GPU叢集對 100G 鏈路的飽和。博通的「Tomahawk 6」支援 1.6Tb/s 端口,並預留了未來擴充的空間。超乙太網路聯盟 (UEC) 於 2025 年 6 月批准了 UEC 1.0,新增了封包噴射和網路內運算功能,專門用於 AI 流量。然而,800G光學模組長達 18 個月的前置作業時間將限制一些超大規模部署,直到 2026 年開始量產。
由於製造商優先研發超低抖動AI級光學模組,800G模組的前置作業時間已延長至18個月。 Lumentum正在調整其藍圖以適應此細分市場,並強調其傳統收發器產品線面臨供應短缺的問題。由於關稅導致設備成本上漲8%至20%,一些公司不得不推遲升級計劃,並被迫延長其100G設備的使用時間。
超大規模資料中心業者購買了數千台固定外形規格交換機,因此該產品類別在2025年仍佔銷售額的77.60%。乙太網路切換器仍然是核心產品類別,但軟體定義控制器因其自動化功能而廣受歡迎。隨著透過高速光纖通訊分離運算和儲存的解耦架構的普及,儲存區域網路(SAN)設備的成長勢頭有所放緩。由於零信任設計需要廣泛的網路分段,網路安全設備重新受到關注。
隨著客戶對多廠商400G/800G網路架構的設計、整合和託管支援需求不斷成長,服務業正以4.32%的複合年成長率快速擴張。安裝團隊正在對時間敏感的光學模組進行調優,而託管服務則彌補了企業內部自動化技能的不足。培訓和顧問公司正在努力解決人工智慧網路調優領域人才日益短缺的問題。在美國資料中心網路市場,以結果為基本契約,將硬體、光學模組和專業知識捆綁在一起的供應商越來越受到青睞。
受早期5G核心網路部署和公共雲端骨幹網路現代化改造的推動,IT和電信公司在2025年仍維持34.15%的市場佔有率。金融機構緊隨其後,升級了用於演算法交易的低延遲通道。同時,製造業的複合年成長率達到5.08%,這得益於工業4.0賦能的工廠維修了即時分析和機器人生產線的發展。主要汽車製造商正在部署確定性架構,將工業協議與企業流量整合。
各國政府和國防機構正在對敏感網路進行現代化改造,並實現安全的AI模型訓練。醫療服務提供者正在擴展用於影像和電子健康記錄的頻寬。媒體公司正在推進4K/8K視訊串流的建設,這需要突發容量和抖動控制。因此,美國資料中心網路市場正從由電信業者主導的單一領域,轉變為一系列工業應用場景的集合。
According to Mordor Intelligence, the United States data center networking market size is expected to grow from USD 8.18 billion in 2025 to USD 8.52 billion in 2026 and is forecast to reach USD 10.43 billion by 2031 at 4.14% CAGR over 2026-2031.

This report is Segmented by Component (Product, and Services), End User (IT and Telecommunications, Banking, Financial Services and Insurance (BFSI), Government and Defense, and More), Data Center Type (Colocation, Hyperscalers/Cloud Service Providers, and Edge/Micro Data Centers), Bandwidth (<=10 GbE, 25-40 GbE, and More). The Market Forecasts are Provided in Terms of Value (USD).
Hyperscale operators are rebuilding networks to serve AI workloads that move 10-100 times more data than legacy applications. Meta's adoption of Arista 7700R4 platforms for training clusters highlights the spread of non-blocking, terabit-scale east-west fabrics that reduce latency for distributed GPUs. Microsoft's USD 80 billion AI build-out and AWS's USD 30 billion expansion reinforce the steep equipment pull for AI-specific switches, optics, and NICs. Custom silicon from NVIDIA and AMD underlines operators' desire to bypass general-purpose devices in favor of tightly integrated 800G parts.
The jump to 400G and 800G is the largest step since 10 GbE, driven by GPU clusters that saturate 100G links. Broadcom's Tomahawk 6 supports 1.6 Tb/s ports, anticipating future headroom. The Ultra Ethernet Consortium ratified UEC 1.0 in June 2025, adding packet-spraying and in-network compute specifically for AI traffic. Rollouts face 18-month lead times for 800G optics, constraining some hyperscale buildouts until production ramps in 2026.
Lead times on 800G modules have stretched to 18 months as manufacturers prioritize AI-grade optics with ultra-low jitter. Lumentum shifted its roadmap to serve this niche, demonstrating the squeeze on conventional transceiver lines. Tariff impacts added 8-20% to equipment costs, prompting some enterprises to defer upgrades and sweat 100G assets longer than planned.
Other drivers and restraints analyzed in the detailed report include:
For complete list of drivers and restraints, kindly check the Table Of Contents.
Products continued to hold 77.60% of 2025 revenue as hyperscalers bought thousands of fixed-form-factor switches. Ethernet switches remained the anchor category, while software-defined controllers gained favor for policy automation. Storage-area networking equipment lost momentum as disaggregated architectures separated compute and storage across high-speed optics. Network security appliances regained focus because zero-trust designs require pervasive segmentation.
The services slice is climbing at a 4.32% CAGR as clients seek design, integration, and managed support for multi-vendor 400G/800G fabrics. Installation teams coordinate timing-sensitive optics, while managed services offset scarce in-house automation skills. Training and consulting firms address a widening talent gap around AI-specific network tuning. The United States data center networking market increasingly rewards providers that bundle hardware, optics, and expertise under outcome-based contracts.
IT-telecom operators retained a 34.15% share in 2025, anchored by early 5G core deployments and public-cloud backbone refreshes. Financial institutions followed, upgrading latency paths for algorithmic trading. Manufacturing, however, is posting a 5.08% CAGR as Industry 4.0 plants retrofit with real-time analytics and robotic lines. Automotive giants are installing deterministic fabrics that blend industrial protocols with enterprise traffic.
Government and defense agencies are modernizing classified networks to enable secure AI model training. Healthcare providers expand bandwidth for diagnostic imaging and electronic records. Media firms push 4K/8K pipelines that need burst capacity and jitter control. The United States data center networking market is therefore becoming a patchwork of vertical use cases rather than a monolithic telecom-led domain.