AI 기반 광섬유 백본 네트워크 시장 : 점유율 분석, 업계 동향 및 통계, 성장 예측(2026-2031년)

According to Mordor Intelligence, the AI-driven fiber backbone network market size is expected to grow from USD 14.93 billion in 2025 to USD 17.98 billion in 2026 and is forecast to reach USD 45.12 billion by 2031 at 20.20% CAGR over 2026-2031.

This report is Segmented by Component (Cables, Transceivers, Switches, and More), Network Type (Wired, and Wireless), Deployment Mode (Long Haul, and More), Application (AI Training, Cloud DCI, Government, and More), End User (Telecom Service Providers, Enterprises, and More), and Geography (North America, Asia-Pacific, and More). The Market Forecasts are Provided in Terms of Value (USD).

Global AI-Driven Fiber Backbone Network Market Trends and Insights

AI-Driven Traffic Engineering for Latency-Critical AI Workloads

The AI-driven fiber backbone network market is being driven by traffic patterns that differ significantly from legacy telecom flows. AI training clusters generate bursty, all-to-all exchanges that can fill a 400G link in very little time, so operators need path selection that responds to latency, congestion, and queue depth with far more precision. That is moving network control away from static planning and toward software-defined traffic engineering, treating routing policy as a direct part of AI infrastructure performance. In June 2026, Nokia introduced an Autonomous Networks Agent Library with agentic AI capabilities for intent-based routing updates without human intervention, which showed how operators are preparing for AI-native optical control.A 2026 field trial published in the Journal of Optical Communications and Networking demonstrated an LLM-powered AI agent that handled wavelength provisioning, failure management, and optical power optimization on a 440 km testbed in under 1 minute. As a result, the AI-driven fiber backbone network market is increasingly linking network engineering decisions to GPU utilization, service reliability, and the speed of cluster activation.

Hyperscale Campus-To-Campus Fiber Expansion

The AI-driven fiber backbone network market is also being lifted by campus-to-campus fiber expansion around new compute corridors. Build activity is moving beyond traditional urban hubs as AI facilities are following power availability, land availability, and expansion capacity into inland regions and secondary markets. This is turning dark fiber into a core input for AI infrastructure rather than a simple latency upgrade, raising the value of operators that control strategic routes. In January 2026, Corning and Meta signed a multiyear agreement worth up to USD 6 billion for optical fiber and connectivity solutions, and Corning expanded its Hickory, North Carolina, facility to support that demand. In February 2026, FiberLight committed USD 350 million to 1,400 route miles in West Texas, demonstrating how quickly AI corridor construction is moving into new backbone geographies. This expansion pattern is widening the addressable market for cable makers, network builders, and route owners across the AI-driven fiber backbone network.

High Capital Intensity of Fiber Backbone Upgrades

High capital intensity remains a major restraint on the AI-driven fiber backbone network market, as national and regional backbone upgrades require substantial commitments before revenue becomes fully visible. Projects often involve dense wavelength upgrades, coherent amplifier replacement, and router refresh cycles that stretch payback periods well past the near term. Smaller carriers are under added pressure because hyperscalers can secure capacity and priority for components through longer, larger purchase agreements. The January 2026 Corning and Meta agreement, worth up to USD 6 billion, showed the scale at which top buyers can lock in supply and shape manufacturing allocation. Mid-tier operators often need anchor contracts before they can move ahead with major backbone builds, which slows rollout in parts of the AI-driven fiber backbone network market that are not backed by hyperscaler demand. As line systems move toward 1.6T-era designs, the cost of redesigning optical infrastructure is also rising, which is widening the gap between well-capitalized builders and capacity lessors.

Other drivers and restraints analyzed in the detailed report include:

1. Shift Toward Coherent Optics and Higher Line Rates
2. Automated Fault Prediction and Self-Healing Backbone Operations
3. Legacy Multivendor Integration Complexity

For complete list of drivers and restraints, kindly check the Table Of Contents.

Segment Analysis

Optical transceivers are the fastest-growing component segment in the AI-driven fiber backbone network market, with a 21.33% CAGR through 2031, while fiber optic cables held 25.77% share of the AI-driven fiber backbone network market size in 2025. This pairing matters because the market needs both more physical route capacity and faster active optics simultaneously, rather than one replacing the other. Transceivers are gaining momentum as hyperscalers move from 400G to 800G and begin early adoption of 1.6T modules for campus links and distributed data center routes. Marvell began customer sampling of its COLORZ 1600 1.6T ZR and ZR+ pluggable in 2026, targeting links from campus distances up to 12 miles and distributed routes up to 621 miles. That shortens upgrade cycles in the AI-driven fiber backbone network market, as operators can prepare for denser AI workloads without waiting for slower architectural refresh cycles.

Fiber optic cables still anchor the installed base because long-term dark fiber agreements and backbone route construction are sunk investments that shape future equipment demand. Corning's multiyear supply agreement with Meta showed that cable demand is now directly tied to AI data center buildouts rather than only telecom expansion or enterprise access needs. Optical switches, routers, and amplifiers are also being redesigned for denser multi-rail AI interconnects, as shown by Ciena's hyper-rail photonics platform and its strong emphasis on power reduction. The remaining component pool, including passive elements and co-packaged optical approaches, is becoming more relevant as the AI-driven fiber backbone network market pushes optics closer to compute platforms. That means component competition is no longer only about standalone hardware volume; it is also about how well each layer fits dense AI networking architectures.

Wired backbone networks held 78.88% of the AI-driven fiber backbone network market share in 2025 and are projected to grow at a 22.12% CAGR through 2031. That dual position reflects a structural reality: AI training traffic requires deterministic, low-latency performance, very low jitter, and throughput levels that wireless systems cannot match across large, synchronized clusters. Collective GPU operations depend on repeatable timing, which keeps fiber at the center of performance-sensitive transport design. In March 2026, NTT East Japan completed an IOWN All-Photonics Network trial for distributed AI inference between Tokyo and Fukuoka, achieving performance equivalent to a local data center environment over more than 1,000 km. The AI-driven fiber backbone network market, therefore, continues to treat wired transport not as one option among many, but as the default backbone for high-intensity AI workloads.

Wireless backbone networks still play a useful role in regions where fiber economics are weaker or deployment conditions are more challenging. Their main opportunities are in 5G backhaul densification, mobile edge AI inference, and last-mile aggregation, rather than in the core interconnect layer for training clusters. This keeps wireless growth relevant in rural, island, and lower-density markets without altering the basic structure of the AI-driven fiber backbone network. The practical split is clear: fiber carries the AI-critical synchronization layer, while wireless supports complementary access and aggregation functions. That separation supports stable demand for both network types, but it keeps the growth center of the AI-driven fiber backbone network market firmly on wired infrastructure.

Complete Report Scope:

• By Component
  • Fiber Optic Cables
  • Optical Transceivers
  • Optical Switches and Routers
  • Optical Amplifiers
  • Other Components
• By Network Type
  • Wired Backbone Network
  • Wireless Backbone Network
• By Deployment Mode
  • Long Haul Backbone
  • Metro Backbone
  • Campus and Data Center Interconnect
• By Application
  • AI Training Cluster Interconnect
  • Cloud and Hyperscale Data Center Interconnect
  • Telecom Core and Transport
  • Government and Sovereign Networks
  • Enterprise Wide Area Backbones
• By End User
  • Telecom Service Providers
  • Cloud and Colocation Providers
  • Enterprises
  • Government and Defense
  • Research and Education Networks
• By Geography
  • North America
    • United States
    • Canada
    • Mexico
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Europe
    • United Kingdom
    • Germany
    • France
    • Italy
    • Rest of Europe
  • Asia-Pacific
    • China
    • Japan
    • India
    • South Korea
    • Rest of Asia-Pacific
  • Middle East and Africa
    • Middle East
      • Saudi Arabia
      • United Arab Emirates
      • Rest of Middle East
    • Africa
      • South Africa
      • Egypt
      • Rest of Africa

Geography Analysis

North America accounted for 30.12% of the AI-driven fiber backbone network market share in 2025, making it the largest regional market. The region benefits from the highest concentration of hyperscaler campuses and a visible shift in backbone investment toward AI corridors rather than legacy metro cores. In January 2026, Corning and Meta signed a multiyear agreement worth up to USD 6 billion, which expanded US manufacturing support for AI data center and fiber deployment needs. In February 2026, FiberLight committed USD 350 million to new West Texas infrastructure, underscoring how inland, power-rich locations are becoming backbone priorities. Zayo also completed the acquisition of Crown Castle's Fiber Solutions business in 2025 and later secured an anchor customer for 8,000 route miles of new AI-corridor builds, which showed how asset consolidation is supporting regional scale in the AI-driven fiber backbone network market.

Asia-Pacific is projected to grow at a 21.77% CAGR through 2031, which makes it the fastest-growing regional block in the AI-driven fiber backbone network market. Regional demand is being supported by state-backed backbone planning, new data center development, and stronger interest in low-latency intercity AI transport. In March 2026, NTT completed a field trial of its IOWN All-Photonics Network for distributed AI inference between Tokyo and Fukuoka, which demonstrated local-data-center-like performance over long-distance optical infrastructure. In June 2026, KDDI launched commercial cluster router operations as part of its Digital Belt vision, which linked data center assets, submarine cables, and edge nodes into a lower-latency national compute fabric.

Europe holds a significant share of the AI-driven fiber backbone network market, as cloud expansion and sovereign data requirements continue to drive backbone spending across major economies. BT strengthened that position in 2025, becoming the first UK provider to offer a full sovereign service portfolio for regulated workloads requiring domestic data residency. South America is emerging as a demand center as nearshoring and regional AI infrastructure plans raise the need for stronger cross-border and inland fiber routes. The Middle East and Africa remain earlier in their development curve, but sovereign AI programs in the Gulf and landing-station-linked terrestrial backbone demand in South Africa and Egypt are creating a clearer long-term role in the AI-driven fiber backbone network market.

1. Ciena Corporation
2. Nokia Corporation
3. Cisco Systems, Inc.
4. Huawei Technologies Co., Ltd.
5. Juniper Networks, Inc.
6. Fujitsu Limited
7. NEC Corporation
8. Ericsson
9. Coherent Corp.
10. Lumentum Holdings Inc.
11. ADTRAN Holdings, Inc.
12. Ribbon Communications Inc.
13. Sterlite Technologies Limited
14. Arelion
15. AT and T Inc.
16. Lumen Technologies, Inc.
17. China Telecom Corporation Limited
18. China Unicom (Hong Kong) Limited
19. KDDI Corporation
20. Equinix, Inc.

Additional Benefits:

• The market estimate (ME) sheet in Excel format
• 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

• 1.1 Study Assumptions and Market Definition
• 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET LANDSCAPE

• 4.1 Market Overview
• 4.2 Market Drivers
  • 4.2.1 AI-Driven Traffic Engineering for Latency-Critical AI Workloads
  • 4.2.2 Hyperscale Campus-to-Campus Fiber Expansion
  • 4.2.3 Shift Toward Coherent Optics and Higher Line Rates
  • 4.2.4 Automated Fault Prediction and Self-Healing Backbone Operations
  • 4.2.5 Rising Need for Power-Efficient Cross-Site AI Interconnects
  • 4.2.6 Fiber Buildouts for Sovereign AI and Data Residency Networks
• 4.3 Market Restraints
  • 4.3.1 High Capital Intensity of Fiber Backbone Upgrades
  • 4.3.2 Legacy Multivendor Integration Complexity
  • 4.3.3 Fiber Supply Bottlenecks and Specialized Component Lead Times
  • 4.3.4 Cybersecurity Exposure Across Core Routing and Optical Layers
• 4.4 Supply Chain Analysis
• 4.5 Regulatory Landscape
• 4.6 Technological Outlook
  • 4.6.1 Coherent Pluggables and 800G to 1.6T Migration
  • 4.6.2 Open Optical Line Systems
  • 4.6.3 AI-Based Network Assurance and Intent Automation
• 4.7 Porter's Five Forces Analysis
  • 4.7.1 Bargaining Power of Suppliers
  • 4.7.2 Bargaining Power of Buyers
  • 4.7.3 Threat of New Entrants
  • 4.7.4 Threat of Substitutes
  • 4.7.5 Competitive Rivalry

5 MARKET SIZE AND GROWTH FORECASTS (VALUE)

• 5.1 By Component
  • 5.1.1 Fiber Optic Cables
  • 5.1.2 Optical Transceivers
  • 5.1.3 Optical Switches and Routers
  • 5.1.4 Optical Amplifiers
  • 5.1.5 Other Components
• 5.2 By Network Type
  • 5.2.1 Wired Backbone Network
  • 5.2.2 Wireless Backbone Network
• 5.3 By Deployment Mode
  • 5.3.1 Long Haul Backbone
  • 5.3.2 Metro Backbone
  • 5.3.3 Campus and Data Center Interconnect
• 5.4 By Application
  • 5.4.1 AI Training Cluster Interconnect
  • 5.4.2 Cloud and Hyperscale Data Center Interconnect
  • 5.4.3 Telecom Core and Transport
  • 5.4.4 Government and Sovereign Networks
  • 5.4.5 Enterprise Wide Area Backbones
• 5.5 By End User
  • 5.5.1 Telecom Service Providers
  • 5.5.2 Cloud and Colocation Providers
  • 5.5.3 Enterprises
  • 5.5.4 Government and Defense
  • 5.5.5 Research and Education Networks
• 5.6 By Geography
  • 5.6.1 North America
    • 5.6.1.1 United States
    • 5.6.1.2 Canada
    • 5.6.1.3 Mexico
  • 5.6.2 South America
    • 5.6.2.1 Brazil
    • 5.6.2.2 Argentina
    • 5.6.2.3 Rest of South America
  • 5.6.3 Europe
    • 5.6.3.1 United Kingdom
    • 5.6.3.2 Germany
    • 5.6.3.3 France
    • 5.6.3.4 Italy
    • 5.6.3.5 Rest of Europe
  • 5.6.4 Asia-Pacific
    • 5.6.4.1 China
    • 5.6.4.2 Japan
    • 5.6.4.3 India
    • 5.6.4.4 South Korea
    • 5.6.4.5 Rest of Asia-Pacific
  • 5.6.5 Middle East and Africa
    • 5.6.5.1 Middle East
      • 5.6.5.1.1 Saudi Arabia
      • 5.6.5.1.2 United Arab Emirates
      • 5.6.5.1.3 Rest of Middle East
    • 5.6.5.2 Africa
      • 5.6.5.2.1 South Africa
      • 5.6.5.2.2 Egypt
      • 5.6.5.2.3 Rest of Africa

6 COMPETITIVE LANDSCAPE

• 6.1 Market Concentration
• 6.2 Strategic Moves
• 6.3 Market Share Analysis
• 6.4 Company Profiles (includes Global Level Overview, Market Level Overview, Core Segments, Financials as available, Strategic Information, Market Rank/Share, Products and Services, Recent Developments)
  • 6.4.1 Ciena Corporation
  • 6.4.2 Nokia Corporation
  • 6.4.3 Cisco Systems, Inc.
  • 6.4.4 Huawei Technologies Co., Ltd.
  • 6.4.5 Juniper Networks, Inc.
  • 6.4.6 Fujitsu Limited
  • 6.4.7 NEC Corporation
  • 6.4.8 Ericsson
  • 6.4.9 Coherent Corp.
  • 6.4.10 Lumentum Holdings Inc.
  • 6.4.11 ADTRAN Holdings, Inc.
  • 6.4.12 Ribbon Communications Inc.
  • 6.4.13 Sterlite Technologies Limited
  • 6.4.14 Arelion
  • 6.4.15 AT and T Inc.
  • 6.4.16 Lumen Technologies, Inc.
  • 6.4.17 China Telecom Corporation Limited
  • 6.4.18 China Unicom (Hong Kong) Limited
  • 6.4.19 KDDI Corporation
  • 6.4.20 Equinix, Inc.

7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK

• 7.1 White-Space and Unmet-Need Assessment