리프 스파인 스위치 : 시장 점유율 분석, 업계 동향 및 통계, 성장 예측(2026-2031년)

According to Mordor Intelligence, the leaf-spine switch market size is expected to increase from USD 14.21 billion in 2025 to USD 16.42 billion in 2026 and reach USD 35.32 billion by 2031, growing at a CAGR of 16.55% over 2026-2031.

This report is Segmented by Switch Role (Leaf Switches, and Spine Switches), Product Type (Fixed Configuration, and Modular Switches), Port Speed (Up To 25 GbE, More Than 25 To 100 GbE, and More), Data Center Type (Colocation Data Centers, and More), End User Industry (Cloud Service Providers, Telecommunication Providers, and More), and Geography. The Market Forecasts are Provided in Terms of Value (USD).

Global Leaf-Spine Switch Market Trends and Insights

Hyperscaler AI Cluster 400G And 800G Fabric Rollouts

Hyperscaler spending is setting the pace for the leaf-spine switch market because AI clusters cannot scale without large volumes of low-latency east-west bandwidth. Operators are now buying fabrics around 400G and 800G as standard design points instead of treating them as premium edge cases. Google disclosed Virgo in April 2026 as a flat, two-layer network linking 134,000 TPU chips with 47 petabits per second of bisectional bandwidth, which shows how large AI fabrics are moving deeper into purpose-built accelerator environments. Arista stated in May 2026 that it had surpassed 100 cumulative 800G Ethernet customers and raised its 2026 AI networking revenue target to USD 3.5 billion, which confirms that commercial demand is already broadening beyond a handful of early deployments. This is also changing product boundaries inside the leaf-spine switch market, because high-radix 800G systems are increasingly serving as both AI back-end aggregation layers and conventional east-west spines. That shift raises revenue density per chassis and favors vendors that can supply dense platforms without adding operational complexity.

East-West Traffic Growth And Data Center Fabric Modernization

East-west traffic now dominates virtualized and AI-oriented data center environments, which keeps the leaf-spine switch market tied to fabric modernization rather than to simple port replacement. The architectural move from three-tier switching to two-tier leaf-spine design reduces latency, simplifies pathing, and supports the 1:1 non-blocking ratios that AI training environments require. The cost logic also matters because 400G delivers materially lower cost-per-bit than 100G, which makes it the default step for operators that need bandwidth growth without taking on a full 800G migration. The oversubscription change is equally important because many legacy enterprise designs ran at 3:1, while GPU clusters demand non-blocking behavior and therefore need far more active switching capacity for the same compute footprint. As a result, the leaf-spine switch market is gaining from both greenfield AI deployments and brownfield refresh programs that replace hierarchical designs with flatter fabric architectures. The underlying opportunity is wide because modernization now serves performance, power, and operational goals at the same time, which is why the upgrade case is harder for operators to delay.

400G And 800G Refresh Capex And Migration Complexity

The leaf-spine switch market faces a real spending barrier because 400G and 800G transitions require more than a switch purchase. Fiber compatibility problems, connector mismatches, and trunk rework can add large project costs across thousands of links in active facilities. Power is another constraint because 800G systems can draw 800 to 1,000 watts, which makes it harder for older sites that were not designed for dense AI pods. Many operators, therefore, need network, cabling, and facility teams to move in sequence, which slows deployment even when procurement intent is strong. This creates a split in the leaf-spine switch market, where hyperscalers with dedicated engineering teams can move quickly, while enterprise and mid-market operators often stretch refresh cycles across multiple budget periods. The result is uneven demand timing, not weak demand, which is why order flow can look lumpy even when the medium-term adoption case remains intact.

Other drivers and restraints analyzed in the detailed report include:

1. 51.2T Switch Silicon Enabling Flatter Leaf-Spine Topologies
2. Colocation Expansion And Tenant-Ready EVPN-VXLAN Fabrics
3. EVPN-VXLAN And RoCE Operations Talent Shortages

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

Segment Analysis

Leaf switches held 66.14% of 2025 revenue, which gave them the largest position in the leaf-spine switch market share because every GPU node and most server endpoints still terminate at the top-of-rack layer. That installed logic remains strong because cluster node counts are rising faster than the number of distinct clusters, which keeps the leaf layer broad even as designs become more efficient. The top-of-rack leaf position also benefits from repeatability, since large AI and cloud builds replicate rack-level patterns at scale across halls and campuses. In the leaf-spine switch industry, that means fixed leaf platforms retain a wide deployment base even when value is shifting upward into denser aggregation systems. End-of-row leaf systems still serve enterprise environments where a rack-by-rack build is harder to justify, especially when operators are modernizing only a portion of legacy compute space.

Spine switches are projected to grow at an 18.45% CAGR through 2031, which makes them the fastest-growing role in the leaf-spine switch market size profile for role-based demand. The reason is not switch count alone, it is the revenue concentration created when one chassis aggregates a large number of 800G uplinks and carries a much higher average selling price than a fixed spine unit. Arista launched its 7800R4 modular spine family with up to 576x800G ports per system, which illustrates how the architectural center of gravity is moving toward fewer, larger aggregation systems. This is why spine growth looks stronger than its unit footprint suggests, because scale-out AI traffic rewards vendors that can deliver high-radix platforms with predictable congestion behavior and simpler management. The role balance is therefore not reversing, but it is re-weighting revenue inside the leaf-spine switch market toward premium spine systems that sit at the center of AI training fabrics.

Fixed configuration switches accounted for 72.43% of 2025 revenue, which reflects how much of the leaf-spine switch market still depends on the sheer number of leaf positions across new data center builds. That arithmetic is direct because a very large cluster can require thousands of fixed leaf units even when the spine layer can be handled by a much smaller number of chassis systems. The 1U and 2U categories remain important because operators continue to standardize top-of-rack deployment around dense fixed platforms that fit repeatable rack designs. In 2026, fixed configurations with 64x800G and 32x1.6T are entering production environments, which shows that fixed form factors are not a legacy layer, but a still-evolving foundation for AI leaf roles. This keeps fixed systems at the volume center of the leaf-spine switch market even as premium spending migrates elsewhere.

Modular switches are forecast to grow at a 18.12% CAGR through 2031, which gives them the fastest momentum among product types in the leaf-spine switch market. That growth is tied to hyperscale AI clusters where spine refresh cycles require densities and scale characteristics that fixed systems cannot match efficiently. Arista stated that its 7800R4 family delivers 65% lower power consumption than the prior 7800R3 series, which shows how vendor competition in modular systems is expanding beyond port count into energy efficiency and operating cost. Buffer design and congestion control are also becoming clearer differentiators because mixed-speed AI fabrics need systems that can absorb bursty traffic without forcing operators into complex workarounds. Vendors that can pair modular spine products with fixed leaf systems inside one management plane are gaining an advantage, since buyers want fewer operational seams across multi-year refresh programs. That makes modular growth strategically important to the leaf-spine switch market even if fixed platforms continue to dominate total deployment count.

Complete Report Scope:

• By Switch Role
  • Leaf Switches
    • Top-of-Rack Leaf Switches
    • End-of-Row Leaf Switches
  • Spine Switches
    • Fixed Spine Switches
    • Chassis-based Spine Switches
• By Product Type
  • Fixed Configuration
    • 1U
    • 2U and Above
  • Modular Switches
    • 4-slot to 8-slot
    • 10-slot and Above
• By Port Speed
  • Up to 25 GbE
  • More than 25 to 100 GbE
  • More than 100 to 400 GbE
  • 800 GbE and Above
• By Data Center Type
  • Colocation Data Centers
  • Hyperscale / Cloud Service Provider Data Centers
  • Enterprise Data Centers
  • Edge Data Centers
• By End User Industry
  • Cloud Service Providers
  • Telecommunication Providers
  • Large Enterprises
  • Government and Public Sector
  • Other end user Industries
• By Geography
  • North America
    • United States
    • Canada
    • Mexico
  • South America
    • Brazil
    • Argentina
    • Chile
    • Colombia
  • Europe
    • Germany
    • United Kingdom
    • France
    • Netherlands
    • Ireland
    • Italy
    • Spain
    • Rest of Europe
  • Asia-Pacific
    • China
    • Japan
    • India
    • South Korea
    • Singapore
    • Australia
    • New Zealand
    • Rest of Asia-Pacific
  • Middle East and Africa
    • Middle East
      • Saudi Arabia
      • United Arab Emirates
      • Turkey
      • Rest of Middle East
    • Africa
      • South Africa
      • Nigeria
      • Rest of Africa

Geography Analysis

North America held 41.43% of 2025 revenue, which made it the largest regional contributor and the clearest anchor of the leaf-spine switch market share by geography. The region benefits from the heaviest concentration of hyperscale AI training infrastructure, the deepest set of vendor relationships, and the strongest installed base for high-end data center switching. The United States remains the core of that demand because most large procurement programs, platform validations, and AI cluster launches are centered there. It is also the region where Cisco, Arista, NVIDIA, and white-box suppliers compete most directly for hyperscale and enterprise fabric budgets. This concentration keeps North America central to the leaf-spine switch market even as growth begins to broaden geographically.

Asia-Pacific is projected to grow at an 17.52% CAGR through 2031, which gives it the fastest regional growth path in the leaf-spine switch market. The region is being supported by a wide data center build pipeline, sovereign compute programs, and a rising mix of hyperscale, colocation, and enterprise open networking deployments. Malaysia, India, Japan, South Korea, Thailand, and other hubs are attracting parallel investment, which reduces reliance on any single national build cycle. Japan also showed movement toward open networking in 2026 when EXEO Group completed a production deployment of a SONiC-based leaf-spine fabric managed by BE Networks' Verity platform, a sign that software-disaggregated approaches are gaining credibility in the regional enterprise segment.

Europe is growing from a smaller base than North America, but the region is structurally important to the leaf-spine switch market because data sovereignty and regulated workload rules are creating demand for in-country fabrics. Equinix expanded Fabric Geo Zones in 2026 with preview availability in markets including Switzerland and the United Kingdom, which shows how switching and compliance are becoming more closely linked in multi-tenant interconnection environments. South America remains earlier in development, with Brazil as the key market, while the Middle East and Africa are moving faster because sovereign cloud programs in Saudi Arabia and the UAE are turning policy mandates into physical network build-outs. The result is a broader geographic demand base for the leaf-spine switch market, with commercial and policy-driven projects now advancing at the same time across several regions.

1. Cisco Systems, Inc.
2. Arista Networks, Inc.
3. NVIDIA Corporation
4. Huawei Technologies Co., Ltd.
5. Dell Technologies Inc.
6. Juniper Networks, Inc.
7. Hewlett Packard Enterprise Aruba Networking
8. H3C Technologies Co., Limited
9. ZTE Corporation
10. Lenovo Group Limited
11. Edgecore Networks Corporation
12. Accton Technology Corporation
13. Celestica Inc.
14. Ruijie Networks Co., Ltd.
15. Nokia Corporation
16. Extreme Networks, Inc.
17. Quanta Cloud Technology (QCT)
18. UfiSpace Technology Inc.
19. Super Micro Computer, Inc. (Supermicro)
20. Netberg Ltd.
21. Delta Electronics, Inc.
22. Asterfusion Data Technology Co., Ltd.

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 Hyperscaler AI Cluster 400G and 800G Fabric Rollouts
  • 4.2.2 East-west Traffic Growth and Data Center Fabric Modernization
  • 4.2.3 Colocation Expansion and Tenant-ready EVPN-VXLAN Fabrics
  • 4.2.4 51.2T Switch Silicon Enabling Flatter Leaf-spine Topologies
  • 4.2.5 Ethernet Replacing InfiniBand in AI Scale-out Networks
  • 4.2.6 Sovereign Cloud Zones Multiplying Local Fabric Builds
• 4.3 Market Restraints
  • 4.3.1 400G and 800G Refresh Capex and Migration Complexity
  • 4.3.2 EVPN-VXLAN and RoCE Operations Talent Shortages
  • 4.3.3 Power and Thermal Retrofit Burden in Dense AI Pods
  • 4.3.4 Merchant Silicon and Optics Supply Concentration
• 4.4 Industry Value Chain Analysis
• 4.5 Regulatory Landscape
• 4.6 Technological Outlook
• 4.7 Porter's Five Forces
  • 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 Industry Rivalry

5 MARKET SIZE AND GROWTH FORECASTS (VALUE)

• 5.1 By Switch Role
  • 5.1.1 Leaf Switches
    • 5.1.1.1 Top-of-Rack Leaf Switches
    • 5.1.1.2 End-of-Row Leaf Switches
  • 5.1.2 Spine Switches
    • 5.1.2.1 Fixed Spine Switches
    • 5.1.2.2 Chassis-based Spine Switches
• 5.2 By Product Type
  • 5.2.1 Fixed Configuration
    • 5.2.1.1 1U
    • 5.2.1.2 2U and Above
  • 5.2.2 Modular Switches
    • 5.2.2.1 4-slot to 8-slot
    • 5.2.2.2 10-slot and Above
• 5.3 By Port Speed
  • 5.3.1 Up to 25 GbE
  • 5.3.2 More than 25 to 100 GbE
  • 5.3.3 More than 100 to 400 GbE
  • 5.3.4 800 GbE and Above
• 5.4 By Data Center Type
  • 5.4.1 Colocation Data Centers
  • 5.4.2 Hyperscale / Cloud Service Provider Data Centers
  • 5.4.3 Enterprise Data Centers
  • 5.4.4 Edge Data Centers
• 5.5 By End User Industry
  • 5.5.1 Cloud Service Providers
  • 5.5.2 Telecommunication Providers
  • 5.5.3 Large Enterprises
  • 5.5.4 Government and Public Sector
  • 5.5.5 Other end user Industries
• 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 Chile
    • 5.6.2.4 Colombia
  • 5.6.3 Europe
    • 5.6.3.1 Germany
    • 5.6.3.2 United Kingdom
    • 5.6.3.3 France
    • 5.6.3.4 Netherlands
    • 5.6.3.5 Ireland
    • 5.6.3.6 Italy
    • 5.6.3.7 Spain
    • 5.6.3.8 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 Singapore
    • 5.6.4.6 Australia
    • 5.6.4.7 New Zealand
    • 5.6.4.8 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 Turkey
      • 5.6.5.1.4 Rest of Middle East
    • 5.6.5.2 Africa
      • 5.6.5.2.1 South Africa
      • 5.6.5.2.2 Nigeria
      • 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 for key companies, Products and Services, and Recent Developments)
  • 6.4.1 Cisco Systems, Inc.
  • 6.4.2 Arista Networks, Inc.
  • 6.4.3 NVIDIA Corporation
  • 6.4.4 Huawei Technologies Co., Ltd.
  • 6.4.5 Dell Technologies Inc.
  • 6.4.6 Juniper Networks, Inc.
  • 6.4.7 Hewlett Packard Enterprise Aruba Networking
  • 6.4.8 H3C Technologies Co., Limited
  • 6.4.9 ZTE Corporation
  • 6.4.10 Lenovo Group Limited
  • 6.4.11 Edgecore Networks Corporation
  • 6.4.12 Accton Technology Corporation
  • 6.4.13 Celestica Inc.
  • 6.4.14 Ruijie Networks Co., Ltd.
  • 6.4.15 Nokia Corporation
  • 6.4.16 Extreme Networks, Inc.
  • 6.4.17 Quanta Cloud Technology (QCT)
  • 6.4.18 UfiSpace Technology Inc.
  • 6.4.19 Super Micro Computer, Inc. (Supermicro)
  • 6.4.20 Netberg Ltd.
  • 6.4.21 Delta Electronics, Inc.
  • 6.4.22 Asterfusion Data Technology Co., Ltd.

7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK

• 7.1 White-Space and Unmet-Need Assessment