面向人工智慧資料中心的高密度光纖連接基礎設施的市場規模、佔有率和成長預測（2026-2032 年）

2026年，人工智慧資料中心高密度光纖連接基礎設施市場規模估計為27億美元，預計2032年將達到91.9億美元。這意味著在預測期內，複合年成長率將達到22.6%。

人工智慧網路正從三個方面推動被動光元件的成長。首先，在大規模橫向擴展網路中，葉層、脊層和核心交換層之間的連結數量不斷增加。其次，隨著連接埠速度的提升，訊號損耗和熱限制的電氣管理難度加大，導致即使在短距離傳輸中，也需要從銅纜轉向光纖。第三，在機架內和機架間擴展網路中，光路徑開始用於加速器之間的通訊。即使不考慮主動收發器的價值，上述每一種轉變都會增加每兆瓦部署所需的光纖終端、幹線、面板和管理點的數量。物理層密度也在不斷提高。雖然傳統的MPO和LC連接仍然廣泛部署，但人工智慧網路正在推動更小的多纖和超小型介面的發展，從而允許在相同的面板或機架空間內放置更多光纖。 SENKO的「SN-MT16」定位為比MPO尺寸小得多，同時支援16到32根光纖。 Molex 的 VersaBeam Mini 可在 1RU 機架式面板中支援 3,456 根光纖。 CommScope 的 FastSelfClean 技術最初以 144 芯光纖規格部署。這些設計旨在解決在有限的機架空間內安裝、檢查、清潔和維護數百或數千根光纖時所面臨的維運挑戰。隨著連接器密度的增加，部署方法也不斷改進。康寧指出，超大規模資料中心業者大規模資料中心正朝著「工廠預先整合」的方向發展，即機架交付時已預先安裝、貼標、測試並記錄了大量光纖。這減少了現場人工，並提高了多棟建築人工智慧園區的可重複性。因此，預端接主幹線、模組化面板、高密度盒式模組和工廠組裝的光纖線束在連接價值方面比傳統的現場端接方式佔據了更大的佔有率，尤其是在標準化的機架級和單元級架構中。

市場促進因素

• 每個人工智慧機架的光纖使用量成長速度超過了機架數量的成長速度。最主要的促進因素是連接到每個高密度機架的光鏈路數量不斷增加。康寧公司預測，到2026年，每個機架的光纖密度將超過1000根，在要求最高的設計中最終可能接近5000根。這不僅反映了交換器連接埠數量的增加，也反映了光連接與運算環境日益融合的趨勢。因此，即使機架部署數量保持適中速度，每個機架的被動連接相關收入也會增加，因為每個機架都需要更多的幹線、連接器、配線位置和管理光纖路徑。
• 1.6T 和未來的 3.2T 架構將增加對單模光纖的需求。隨著光連接模組速度從 800G 提升至 1.6T 甚至 3.2T，低損耗、高密度單模光纖路徑的重要性日益凸顯。雖然高速鏈路不一定需要每個連接使用更多實體光纖，但大規模人工智慧叢集的連接埠數量將會增加，光纖通訊的覆蓋範圍也將擴展到先前由銅纜覆蓋的網路區域。因此，在橫向擴展、園區網路和新興的縱向擴展領域，光纖數量都將增加。業者必須在有限的機架、托盤和線管空間內容納這些新增容量，從而提升了高密度連接器和小直徑微型光纜的價值。
• 在工廠組裝的機架結構中，預端接連接是首選方案。人工智慧部署擴大採用可重複使用的機架、模組和基礎設施模組，而不是完全組裝的網路。工廠整合允許在設備到達資料中心之前完成光纖線束的安裝和測試、跳線和標籤貼標。這減少了現場人工、連接器污染風險和試運行時間。因此，能夠提供預先設計主幹線、盒式線、背板和高針連接器系統的供應商，可以提供超越通用散裝光纖的價值，尤其是在超大規模資料中心業者在多個站點重複使用相同架構的情況下。
• 供應鏈的擴張凸顯了結構性需求。到2026年，產能投資將異常顯著。英偉達與康寧的合作預計將使美國光連接產品的產能擴大十倍，而美國光纖產量預計將成長超過50%。莫仕已與普睿司曼簽署了一項長期光纖電纜供應協議，以支援資料中心的成長。康寧與主要網路營運商達成的協議也表明，光纖供應面臨普遍壓力。這些舉措印證了這樣一種預測：無源連接設備的發展前景並非僅僅是作為有源光設備的低價值配件，而是成為關鍵的實體組件。

市場限制因素

• 主要阻礙因素在於隨著大規模生產的推進，每根光纖和連接器的成本持續降低。超大規模採購商施加了強大的價格壓力，推動了可重複機架設計中被動連接器標準化程度的提高。此外，大量的光纖也增加了安裝和維護的複雜性。連接器端面的污垢或損壞、標籤錯誤、彎曲半徑超標以及佈線擁擠都可能導致難以診斷的故障。雖然新的連接器標準可能會緩解密度限制，但如果營運商採用不相容的設計，則可能導致生態系統分裂。多芯光纖和光纖背板可以顯著提高密度。這些技術取代傳統單芯光纖和標準化連接器系統的速度將取決於認證、現場可維護性和互通性。

目錄

第1章執行摘要

• 市場機會與主要發現
• AI機架中光纖密度的變化趨勢
• 主要收入來源

第2章 市場概覽

• AI網路拓撲結構和被動光纖需求
• 從銅線到光纖的過渡
• 高密度機架和機艙連接
• 工廠預裝和現場安裝的電纜佈線
• 可維護性、清潔性和纖維管理

第3章 市場規模及預測（2026-2032 年）

• 全球市場銷售
• 年增率分析
• 每台AI機架的光纖含量和兆瓦數
• 新建設與維修需求比較

第4章 市場：依產品類型分類

• 光纖電纜和預端接主幹線
• 高密度多芯光纖連接器
• 配線架、卡式錄音帶和接線板
• 機架式和柱式光纖管理系統
• 光纖背板和盲插連接
• 安裝、測試和廠內整合服務

第5章 市場：依纖維類型分類

• 單模光纖
• 多模光纖
• 多芯和新興光纖架構

第6章 市場：依連接器架構分類

• MPO／MTP
• LC 和雙工連接
• VSFF連接器
• 擴展波束和非接觸式多芯光纖連接器
• 背板盲插/光介面

第7章 市場：引言 分層

• 機架連接
• 機架間/立柱間連接
• Datahole 的主幹網
• 校園內建築物之間的連接
• 工廠整合式人工智慧機架和艙體

第8章 市場：依客戶類型分類

• 超大規模雲端供應商
• Neocloud 和 GPU 雲端供應商
• 託管服務提供者
• 主權人工智慧基礎設施
• 企業和高效能運算

第9章：地方市場

• 北美洲
  • 美國
  • 加拿大
• 歐洲
• 亞太地區
• 中東和世界其他地區

第10章 市場動態

• 促進因素
  • 每架AI機架的纖維含量增加
  • 向 1.6T 和 3.2T光纖網路遷移
  • 工廠整合式機架結構
  • 光連接設備製造的擴張
• 抑制因子
  • 降低每根光纖的成本以及超大規模開發所帶來的價格壓力
  • 連接器的清潔和維護較為複雜
  • 連接器標準的細分
  • 多核心和新型光介面的認證

第11章 競爭格局

• 價值鏈
• 光纖和電纜製造商
• 高密度連接器供應商
• 結構化佈線和光纖管理供應商
• 光學背板和機架整合解決方案供應商
• 生產能力和策略供應合約

第12章：公司簡介

• Corning
• CommScope
• Molex
• TE Connectivity
• SENKO Advanced Components
• US Conec
• Prysmian
• Sumitomo Electric
• Furukawa Electric/OFS
• Fujikura
• Leviton Network Solutions
• Belden
• Panduit
• Amphenol
• AFL
• HUBER+SUHNER
• R&M
• Rosenberger

第13章 近期趨勢

第14章附錄

The AI Data Center High-Density Fiber Connectivity infrastructure Market is estimated at USD 2.70 billion in 2026 and is projected to reach USD 9.19 billion by 2032, representing a CAGR of 22.6% during the forecast period.

AI networking is increasing passive optical content in three ways. First, larger scale-out fabrics require more links between leaf, spine and core switching layers. Second, higher port speeds encourage migration from copper toward fiber at shorter distances because signal loss and thermal limits become harder to manage electrically. Third, scale-up networks inside and across racks are beginning to use optical paths for accelerator-to-accelerator communication. Each transition increases the number of fiber terminations, trunks, panels and management points required per deployed megawatt, even before active transceiver value is considered. The physical layer is also becoming denser. Conventional MPO and LC connectivity remains widely deployed, but AI networks are driving smaller multi-fiber and very-small-form-factor interfaces that can place more fibers within the same faceplate or rack space. SENKO positions its SN-MT16 as having a footprint materially smaller than MPO while supporting 16 to 32 fibers. Molex's VersaBeam Mini supports 3,456 fibers within a 1RU panel. CommScope's FastSelfClean technology is being introduced initially in a 144-fiber format. These designs target the operational problem created when hundreds or thousands of fibers must be installed, inspected, cleaned and serviced in a confined rack environment. Deployment method is changing alongside connector density. Corning notes that hyperscalers are moving toward factory-built integration in which racks arrive with large numbers of fibers pre-installed, labeled, tested and documented. This shifts labor away from the construction site and improves repeatability across multi-building AI campuses. Pre-terminated trunks, modular panels, high-density cassettes and factory-assembled fiber harnesses therefore capture a larger share of connectivity value than traditional field termination, especially in standardized rack-scale and pod-level architectures.

Market Drivers

• Fiber content per AI rack is increasing faster than rack count. The strongest structural driver is the rise in optical links attached to each high-density rack. Corning's 2026 outlook indicates that fiber density is moving above 1,000 fibers per rack and could eventually approach 5,000 in the most demanding designs. This reflects both higher switch port counts and the movement of optical connectivity closer to compute. A rack therefore creates more passive-connectivity revenue even if the number of deployed racks grows more slowly, because each rack requires more trunks, connectors, patching positions and managed fiber pathways.
• 1.6T and future 3.2T architectures increase single-mode fiber demand. Optical interconnect speeds are moving from 800G toward 1.6T and later 3.2T, increasing the importance of low-loss, high-density single-mode fiber paths. Faster links do not always require more physical fibers per connection, but larger AI clusters add more ports and extend optical reach into network locations previously served by copper. The result is higher fiber count across scale-out, campus and emerging scale-up domains. High-density connectors and reduced-diameter micro-cables become more valuable because operators must fit this additional capacity within finite rack, tray and conduit space.
• Factory-integrated rack construction favors pre-terminated connectivity. AI deployments are increasingly built from repeatable racks, pods and infrastructure blocks rather than fully field-assembled networks. Factory integration allows fiber harnesses, patching and labeling to be installed and tested before equipment reaches the data center. This reduces field labor, connector contamination risk and commissioning time. Suppliers that can provide pre-engineered trunks, cassettes, backplanes and high-count connector systems therefore capture additional value beyond commodity bulk fiber, particularly where hyperscalers repeat the same architecture across multiple sites.
• Supply-chain expansion confirms structural demand. Capacity investment is unusually visible in 2026. NVIDIA and Corning's partnership calls for a tenfold increase in U.S. optical-connectivity manufacturing capacity and more than 50% additional U.S. fiber production. Molex entered a long-term optical-cable supply agreement with Prysmian to support data-center growth. Corning's agreements with major network operators also indicate broader pressure on fiber availability. These commitments support a forecast in which passive connectivity grows as a critical physical input rather than a low-value accessory to active optical equipment.

Market Restraints

• The main restraint is continuing cost reduction per fiber and connector as high-volume manufacturing improves. Hyperscale buyers exert strong pricing pressure and increasingly standardize passive connectivity across repeatable rack designs. Very high fiber counts also create installation and service complexity. Dirty or damaged connector end faces, labeling errors, bend-radius violations and routing congestion can create difficult-to-diagnose failures. New connector formats may reduce density constraints but can fragment the ecosystem if operators adopt incompatible designs. Multicore fiber and optical backplanes offer substantial density gains. Qualification, field serviceability and interoperability will determine how quickly they displace conventional single-core fiber and standardized connector systems.

Technology and Segment Insights

• Fiber cable and pre-terminated trunk assemblies represent the largest 2026 revenue pool. Every AI fabric requires large quantities of backbone and distribution fiber across racks, rows, data halls and campus buildings. The category includes high-count indoor cable, micro-cable, ribbon and rollable-ribbon designs, breakout assemblies and factory-terminated trunks. High-density connector and patching systems are expected to grow faster as operators attempt to compress more fiber into the same rack footprint and reduce installation time.
• Fiber-management and optical-backplane systems form a smaller but increasingly strategic category. These systems organize large numbers of fibers, preserve bend radius, support blind-mate serviceability and reduce the operational complexity of rack-scale integration. Factory-integrated assemblies are also expanding because they shift installation and testing upstream into controlled manufacturing environments. This segment grows particularly quickly in standardized AI racks and pods where every deployed unit can repeat the same cabling architecture.
• Fiber cable and pre-terminated trunks form the largest revenue pool with strong growth. Their primary AI data center application is backbone, row and rack optical distribution. High-density multi-fiber connectors form a large and expanding category with fast growth. Their primary application is increasing fiber count within constrained rack and panel space. Patch panels, cassettes and distribution frames form a core installed layer with strong growth. Their primary application is termination, organization and change management. Rack and row fiber management forms an established support layer with above-average growth. Its primary application is routing, bend-radius control and serviceability. Optical backplane and blind-mate connectivity has a smaller 2026 base but is the fastest emerging category. Its primary application is factory-integrated rack-scale optical architectures. Installation, testing and factory integration forms a recurring service layer with strong growth. Its primary application is pre-termination, labeling, inspection and commissioning.
• The market is segmented by product type, fiber type, connector architecture, deployment layer, customer type and geography. Product types include fiber cable and pre-terminated trunks, high-density multi-fiber connectors, patch panels, cassettes and distribution frames, rack and row fiber-management systems, optical backplane and blind-mate connectivity, and installation, testing and factory integration services. Fiber types include single-mode fiber, multimode fiber, and multicore and emerging fiber architectures. Connector architectures include MPO and MTP, LC and duplex connectivity, very-small-form-factor connectors, expanded-beam and contactless multi-fiber connectors, and blind-mate and backplane optical interfaces. Deployment layers include within-rack connectivity, rack-to-rack and row connectivity, data hall backbone, campus inter-building connectivity, and factory-integrated AI racks and pods. Customer types include hyperscale cloud providers, neocloud and GPU-cloud operators, colocation providers, sovereign AI infrastructure, and enterprise and high-performance computing.
• AI racks are moving beyond one thousand fiber connections as cluster scale increases. Future rack architectures may approach five thousand fibers in the densest deployments. Pre-terminated trunks and factory-integrated cabling reduce site labor on accelerated AI builds. High-fiber-count connectors are gaining share as patch-panel and pathway density becomes constrained. Single-mode fiber expands with 800G, 1.6T and longer AI campus interconnects. Multimode fiber remains relevant for selected short-reach and installed-base environments. Rack and row fiber management becomes more valuable as cable counts rise sharply. Optical backplanes and blind-mate connectors support serviceable high-density AI architectures. Connector cleaning and inspection automation is becoming important at very high fiber counts. Passive fiber content grows faster than rack count as more scale-up connectivity moves optical.

Competitive and Strategic Outlook

• The market includes global fiber manufacturers, structured-cabling companies, connector specialists and high-density interconnect suppliers. Corning has the broadest position across optical fiber, cable, connectors, data-center systems and emerging multicore-fiber solutions. CommScope, Leviton, Belden and Panduit participate strongly in structured cabling, panels and fiber management. Molex and TE Connectivity are expanding from connector and cable-assembly platforms into higher-density optical backplanes, blind-mate connectivity and near-chip optical interfaces.
• Connector specialization is increasingly important. SENKO Advanced Components and US Conec develop multi-fiber and very-small-form-factor interfaces used across high-density data-center architectures. Amphenol and Rosenberger provide broad connector and cable-assembly portfolios. Prysmian, Sumitomo Electric, Furukawa Electric and OFS, Fujikura and AFL contribute fiber, cable and connectivity manufacturing at scale. R&M and HUBER+SUHNER participate in high-density data-center cabling and optical-distribution systems. Competitive advantage depends on fiber density, insertion loss, connector reliability, ease of cleaning, automation compatibility, bend performance, factory integration and global manufacturing capacity.
• North America is the largest demand center for high-density AI data-center fiber connectivity. The United States combines the world's largest hyperscale and neocloud buildout with rapid deployment of 800G and 1.6T optical networking. Large campuses in Northern Virginia, Texas, the Midwest, the Pacific Northwest and other emerging hubs require fiber at several layers. These include within racks, between rows, across data halls, between campus buildings and into regional interconnect networks. As AI clusters expand, the passive fiber network becomes one of the largest repetitive physical components installed across each new phase.
• The region is also seeing unusually visible localization investment. NVIDIA and Corning's 2026 partnership includes three new U.S. manufacturing facilities and a tenfold expansion in optical-connectivity capacity. Corning is simultaneously increasing domestic fiber output by more than 50%. Molex and Prysmian are scaling cable-assembly supply for data-center demand. TE Connectivity, CommScope, US Conec and other suppliers maintain substantial engineering, connector and manufacturing activity supporting hyperscale programs. These investments reduce some supply risk but also signal that passive optical materials are becoming a critical path item for AI infrastructure.
• Deployment practice favors higher-value pre-engineered systems. Hyperscalers increasingly standardize AI rack and pod designs and use pre-terminated fiber trunks, cassettes and harnesses to reduce on-site labor. The densest architectures also require smaller connectors, automated inspection and better routing because conventional patching becomes difficult at thousands of fibers per rack. Through 2032, North American growth is expected to be driven by new-build AI factories, repeated campus expansions and the replacement of copper with optical scale-up connectivity inside existing facilities.
• Asia Pacific remains the principal manufacturing center for many connector, cable-assembly and electronics supply chains. It is also a major deployment region across China, Japan, South Korea, Singapore, Malaysia, India and Australia. Europe combines hyperscale and sovereign-AI demand with a mature structured-cabling ecosystem. The Middle East is emerging as a large greenfield market where high-density fiber infrastructure can be integrated into AI campuses from initial design rather than retrofitted into constrained legacy pathways.
• Recent developments confirm accelerating market activity. In September 2026, Molex introduced VersaBeam Mini, an ultra-dense 16-fiber expanded-beam connector supporting up to 3,456 fibers in a one-rack-unit panel. In September 2026, Corning introduced additional AI-network cable and connectivity products including Contour Form Micro Cable, multicore fiber and high-density MMC connectivity. In August 2026, Zayo and Corning expanded a long-term fiber-supply agreement supporting Zayo's plan to add 15,000 route miles by 2030 for AI and network demand. In July 2026, Molex and Prysmian signed a long-term optical-cable supply agreement to expand capacity for AI-driven data-center deployments. In June 2026, CommScope previewed FastSelfClean connector technology, initially targeting 144-fiber interfaces for ultra-dense AI racks. In May 2026, NVIDIA and Corning announced a multiyear partnership covering a tenfold expansion of U.S. optical-connectivity manufacturing capacity. In March 2026, Corning expanded its AI data-center portfolio with PRIZM TMT ferrule technology licensed from US Conec for higher-density fiber connectivity. In March 2026, TE Connectivity showcased high-density fiber-array units, optical backplanes and blind-mate connectivity for next-generation AI data centers at OFC 2026.

Conclusion

• The AI data center high-density fiber connectivity infrastructure market is growing rapidly as optical link counts rise and rack architectures become denser. Growth is driven by increasing fiber content per AI rack, the 1.6T and 3.2T optical transition, factory-integrated rack construction and optical connectivity manufacturing expansion. Fiber cable and pre-terminated trunks form the largest revenue pool. High-density multi-fiber connectors are growing fast. Optical backplane and blind-mate connectivity is the fastest emerging category. North America leads demand. Asia Pacific remains central to manufacturing capacity. Falling cost per fiber, connector cleaning complexity and format fragmentation remain the key restraints. The market is projected to grow from USD 2.70 billion in 2026 to USD 9.19 billion by 2032 at a CAGR of 22.6%.

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TABLE OF CONTENTS

1. Executive Summary

• 1.1. Market Opportunity and Key Findings
• 1.2. Fiber-Density Evolution in AI Racks
• 1.3. Principal Revenue Pools

2. Market Overview

• 2.1. AI Network Topology and Passive Fiber Requirements
• 2.2. Transition from Copper to Fiber
• 2.3. High-Density Rack and Pod Connectivity
• 2.4. Factory-Integrated versus Field-Installed Cabling
• 2.5. Serviceability, Cleaning and Fiber Management

3. Market Size and Forecast, 2026-2032

• 3.1. Global Market Revenue
• 3.2. Annual Growth Analysis
• 3.3. Fiber Content per AI Rack and MW
• 3.4. Greenfield versus Retrofit Demand

4. Market by Product Type

• 4.1. Fiber Cable and Pre-Terminated Trunks
• 4.2. High-Density Multi-Fiber Connectors
• 4.3. Patch Panels, Cassettes and Distribution Frames
• 4.4. Rack and Row Fiber-Management Systems
• 4.5. Optical Backplane and Blind-Mate Connectivity
• 4.6. Installation, Testing and Factory Integration Services

5. Market by Fiber Type

• 5.1. Single-Mode Fiber
• 5.2. Multimode Fiber
• 5.3. Multicore and Emerging Fiber Architectures

6. Market by Connector Architecture

• 6.1. MPO / MTP
• 6.2. LC and Duplex Connectivity
• 6.3. VSFF Connectors
• 6.4. Expanded-Beam and Contactless Multi-Fiber Connectors
• 6.5. Blind-Mate / Backplane Optical Interfaces

7. Market by Deployment Layer

• 7.1. Within-Rack Connectivity
• 7.2. Rack-to-Rack / Row Connectivity
• 7.3. Data Hall Backbone
• 7.4. Campus Inter-Building Connectivity
• 7.5. Factory-Integrated AI Racks and Pods

8. Market by Customer Type

• 8.1. Hyperscale Cloud Providers
• 8.2. Neocloud and GPU-Cloud Operators
• 8.3. Colocation Providers
• 8.4. Sovereign AI Infrastructure
• 8.5. Enterprise and High-Performance Computing

9. Regional Market

• 9.1. North America
  • 9.1.1. United States
  • 9.1.2. Canada
• 9.2. Europe
• 9.3. Asia Pacific
• 9.4. Middle East and Rest of World

10. Market Dynamics

• 10.1. Drivers
  • 10.1.1. Increasing Fiber Content per AI Rack
  • 10.1.2. 1.6T and 3.2T Optical Network Transition
  • 10.1.3. Factory-Integrated Rack Construction
  • 10.1.4. Optical Connectivity Manufacturing Expansion
• 10.2. Restraints
  • 10.2.1. Falling Cost per Fiber and Hyperscale Pricing Pressure
  • 10.2.2. Connector Cleaning and Maintenance Complexity
  • 10.2.3. Connector-Format Fragmentation
  • 10.2.4. Qualification of Multicore and New Optical Interfaces

11. Competitive Landscape

• 11.1. Value Chain
• 11.2. Fiber and Cable Manufacturers
• 11.3. High-Density Connector Suppliers
• 11.4. Structured Cabling and Fiber-Management Providers
• 11.5. Optical Backplane and Rack-Integration Suppliers
• 11.6. Manufacturing Capacity and Strategic Supply Agreements

12. Company Profiles

• 12.1. Corning
• 12.2. CommScope
• 12.3. Molex
• 12.4. TE Connectivity
• 12.5. SENKO Advanced Components
• 12.6. US Conec
• 12.7. Prysmian
• 12.8. Sumitomo Electric
• 12.9. Furukawa Electric / OFS
• 12.10. Fujikura
• 12.11. Leviton Network Solutions
• 12.12. Belden
• 12.13. Panduit
• 12.14. Amphenol
• 12.15. AFL
• 12.16. HUBER+SUHNER
• 12.17. R&M
• 12.18. Rosenberger

13. Recent Developments

14. Appendix

• 14.1. Definitions and Abbreviations
• 14.2. Fiber and Connector Architecture Classification
• 14.3. Rack and Campus Connectivity Framework
• 14.4. Source and Data Notes