Global Data Center Switch Market Size, Share Analysis 2035

Data Center Switch Market by Type (Core, Distribution, and Access), Technology (Ethernet, Fiber Channel, and InfiniBand), End User (Enterprise, Telecom, Government, and Cloud), Bandwidth, and Geography - Global Forecast to 2035

USD 26.78

MARKET SIZE, 2035

CAGR 4.2%

(2025-2035)

300

REPORT PAGES

230

MARKET TABLES

OVERVIEW

Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis

The Data Center Switch market is projected to reach USD 26.78 billion by 2035 from USD 17.78 billion in 2025, at a CAGR of 4.2% from 2025 to 2035. The data center switches market will grow as enterprises, cloud providers, and hyperscalers expand their infrastructure to support exploding traffic driven by AI/ML workloads, cloud computing, and edge deployments. Rising demand for high-bandwidth, low-latency switching—especially 100G, 200G, 400G, and emerging 800G systems—is accelerating network modernization. Additionally, the shift toward leaf–spine architectures and GPU cluster interconnects is driving sustained investment in next-generation data center switching platforms.

KEY TAKEAWAYS

By Region

By region, the Asia Pacific market is expected to grow at the fastest rate through 2033, driven by massive hyperscale data center build-outs, 5G expansion, and rising AI/ML workload deployments across China, India, Japan, and Southeast Asia.
By Type

By type, core switches are expected to dominate the market through 2033, driven by hyperscale expansion and the need for high-capacity, low-latency backbone connectivity.
By Technology

By technology, Ethernet will maintain the largest market share and fastest growth, supported by rapid adoption of 100G–400G+ Ethernet for AI, cloud, and high-performance data center networks.
By Bandwidth

By bandwidth, the >40 Gbps segment will register the highest CAGR as workloads shift to GPU-intensive AI clusters requiring ultra-high throughput and low latency.
By End User

By end user, cloud service providers will lead the market and experience the strongest growth as hyperscalers scale out global regions and AI-ready data center fabrics.

The AI-powered storage market is expanding rapidly as organizations require high-throughput, low-latency data infrastructures to support increasingly complex AI, ML, and GPU-accelerated workloads. Demand is being propelled by the explosive growth of unstructured data, large-scale model training, and real-time analytics across cloud, edge, and enterprise environments. Advancements in NVMe, all-flash arrays, software-defined storage, and unified file-object architectures are enabling faster data access and improved scalability. Major vendors such as VAST Data, WEKA, NetApp, and Lightbits are launching AI-optimized storage platforms, while cloud providers and hyperscalers continue to invest in next-generation data fabrics to remove GPU bottlenecks. Strategic partnerships between storage vendors, semiconductor suppliers, and AI infrastructure providers are accelerating innovation and strengthening the global ecosystem for AI-centric storage solutions.

TRENDS & DISRUPTIONS IMPACTING CUSTOMERS' CUSTOMERS

The data center switches ecosystem brings together switch manufacturers, network equipment providers, optical interconnect suppliers, silicon and ASIC designers, and orchestration software vendors who collectively enable the high-performance networking backbone required for modern digital infrastructure. These players ultimately serve hyperscalers, cloud providers, telecom operators, large enterprises, government data centers, and content delivery networks organizations that depend on resilient, scalable, and low-latency switching fabrics to support rapidly growing AI, cloud, and edge workloads. As a result, end users benefit from higher throughput, improved reliability, faster automation, enhanced scalability for GPU clusters, stronger security, and lower operational costs, enabling them to operate next-generation data centers with greater efficiency and agility.

Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis

MARKET DYNAMICS

Drivers

Impact
Level

Rapid growth of AI/ML, cloud computing, and hyperscale data centers
Shift toward leaf–spine and high-performance fabric networks

RESTRAINTS

Impact
Level

High cost of deploying next-generation switches
Complex integration with legacy infrastructure

OPPORTUNITIES

Impact
Level

Expansion of hyperscale and edge data centers globally
Adoption of software-defined networking (SDN) and network automation

CHALLENGES

Impact
Level

Managing escalating data traffic loads
Increasing need for interoperability across diverse hardware, protocols, and vendor ecosystem

Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis

Driver: Rapid growth of AI/ML, cloud computing, and hyperscale data centers

The explosive rise of AI/ML workloads, large-scale cloud services, and hyperscale data center expansion is significantly increasing demand for high-performance switches capable of handling massive throughput and extremely low latency. As organizations scale GPU clusters, large language model training environments, and real-time analytics platforms, network fabrics must support 100G, 200G, 400G, and emerging 800G bandwidth levels. This rapid escalation in traffic volume and data movement is driving substantial investment in next-generation data center switches that can sustain high-density, high-speed interconnects across modern compute environments.

Restraint: High cost of deploying next-generation switches

Upgrading to advanced switching platforms particularly 400G+ and AI-optimized fabrics—requires significant capital expenditure for new hardware, optics, cabling, and supporting infrastructure. For many mid-sized enterprises, these costs create barriers to modernization, delaying the transition to higher-bandwidth architectures needed to support AI and cloud workloads. As a result, many organizations are forced to operate hybrid environments where legacy switches limit performance, slowing overall adoption of advanced switching technologies.

Opportunity: Expansion of hyperscale and edge data centers globally

The rapid build-out of hyperscale facilities and the emergence of edge data centers are creating strong opportunities for switch vendors to deliver high-capacity, low-latency networking solutions tailored for distributed computing. As cloud regions expand and edge sites proliferate to support 5G, IoT, and real-time AI inference, demand for compact, scalable, and high-throughput switching infrastructure is accelerating. This broad geographic and architectural expansion opens new growth avenues for advanced Ethernet and InfiniBand switch platforms.

Challenge: Managing escalating data traffic loads across AI clusters and multi-cloud environments

AI workloads, GPU clusters, and multi-cloud architectures generate extremely high data traffic volumes that place immense strain on traditional switching infrastructures. Ensuring consistent throughput, minimizing latency, and preventing congestion becomes increasingly complex as organizations connect thousands of GPUs, storage nodes, and compute instances. Maintaining performance at scale demands not only faster switching hardware but also new approaches to power efficiency, thermal management, and network fabric optimization—making traffic escalation a core operational challenge for data center networks.

data-center-switch-market: COMMERCIAL USE CASES ACROSS INDUSTRIES

COMPANY	USE CASE DESCRIPTION	BENEFITS
	A leading hyperscale cloud provider deployed Cisco’s 400G Ethernet switching platform to upgrade its leaf–spine fabric and support large-scale AI training clusters requiring massive east–west traffic throughput.	Delivered significantly lower latency and higher network bandwidth, enabling faster AI workload processing and improved GPU cluster efficiency across hyperscale data centers.
	A global financial services firm implemented Arista’s 100G/400G spine switches to modernize its data center network, ensuring consistent low-latency performance for real-time analytics, trading applications, and secure multi-cloud connectivity.	Achieved deterministic low latency and enhanced network reliability, improving transaction speeds and application responsiveness for mission-critical workloads.
	A high-performance computing (HPC) research center deployed NVIDIA’s InfiniBand switches to interconnect thousands of GPUs, enabling ultra-fast data movement for large-scale simulations, deep learning, and scientific modeling.	Provided near-zero latency and extremely high throughput, resulting in faster simulation runtimes and accelerated AI model training at supercomputing scale.
	A telecom operator adopted Juniper’s QFX Series switches to build a scalable edge-to-core network supporting 5G rollout, network slicing, and high-bandwidth content delivery.	Enabled high-performance transport for 5G and edge workloads, reducing congestion and improving service quality for bandwidth-intensive consumer and enterprise applications.

Logos and trademarks shown above are the property of their respective owners. Their use here is for informational and illustrative purposes only.

MARKET ECOSYSTEM

The data center switches market is underpinned by a broad and evolving ecosystem of network equipment vendors, silicon providers, cloud operators, and software innovators working collectively to support the surging traffic demands of AI, cloud computing, and digital transformation. As organizations modernize their infrastructure to enable higher bandwidth, lower latency, and more scalable network fabrics, the ecosystem continues to expand with advancements in Ethernet, InfiniBand, optical interconnects, and automation technologies. Accelerating adoption of AI workloads, 5G expansion, and multi-cloud architectures is driving sustained investment and collaboration across this landscape, reinforcing the critical role of high-performance switching in powering next-generation data centers.

Logos and trademarks shown above are the property of their respective owners. Their use here is for informational and illustrative purposes only.

MARKET SEGMENTS

Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis

Data Center Switch Market, By Type

Core switches are expected to dominate the data center switches market through 2035, driven by the rapid expansion of hyperscale facilities and the need for high-capacity backbone connectivity supporting AI, cloud, and high-performance computing workloads. As data volumes surge and east–west traffic intensifies, core switches provide the massive throughput, ultra-low latency, and scalable architecture required for large fabric deployments. With enterprises and cloud providers modernizing their infrastructure to support next-generation workloads, core switches will remain the central foundation of high-bandwidth data center networks.

Data Center Switch Market, By technology

Ethernet is expected to maintain the largest market share and highest growth rate through 2035, fueled by rapid adoption of 100G, 200G, 400G, and emerging 800G Ethernet solutions across hyperscale, cloud, and AI-driven data centers. As workloads become more distributed and latency sensitive, Ethernet’s scalability, cost efficiency, and ongoing innovation in RoCEv2 and congestion management make it the preferred networking technology for modern data center environments.

Data Center Switch Market, By Bandwidth

The >40 Gbps segment is expected to register the fastest growth, fueled by hyperscalers, AI clusters, and cloud data centers deploying 100G, 200G, 400G, and emerging 800G switches to support high-density compute environments. Rising adoption of LLM training, distributed storage, and real-time analytics will make this segment the central growth engine of the data center switch market.

Data Center Switch Market, By End User

Cloud service providers are expected to dominate the market through 2035, driven by massive investments in hyperscale data centers, global region expansion, and AI-ready network fabrics. As CSPs deploy 200G–800G networks to support generative AI, scalable computing, and multi-cloud services, they will continue to be the strongest and fastest-growing end-user segment.

REGION

Asia Pacific will grow the fastest in the data center switch market, driven by massive hyperscale data center build-outs, rapid cloud adoption, 5G expansion, and increasing investment in AI and digital infrastructure across China, India, Japan, and Southeast Asia.

Asia Pacific is set to record the strongest growth in the data center switch market as regional cloud providers, hyperscalers, and telecom operators accelerate large-scale data center construction and network modernization. Rising AI workloads, rapid digitalization, and expanding 5G and edge deployments across major economies like India, China, and Southeast Asia are further amplifying demand for high-capacity switching infrastructure.

data-center-switch-market: COMPANY EVALUATION MATRIX

In the data center switches market matrix, Cisco (Star) leads with a dominant presence and a comprehensive portfolio of core, aggregation, and top-of-rack switches designed to support high-bandwidth, low-latency networks across hyperscale, enterprise, and telecom environments. Its deep capabilities in Ethernet fabrics, automation platforms such as ACI and Nexus Dashboard, and continuous innovation in 100G/400G/800G switching reinforce Cisco’s position at the forefront of next-generation data center networking. Arista Networks (Emerging Leader) is rapidly gaining momentum with its cloud-driven architecture, high-performance 100G–800G switching platforms, and EOS software ecosystem, which are increasingly preferred by hyperscalers, cloud providers, and AI infrastructure operators. Its strong focus on high-density leaf–spine fabrics and deterministic low-latency performance positions Arista as a critical challenger shaping the future of scalable, software-defined data center networks.

data-center-switch-market Evaluation Metrics

Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis

KEY MARKET PLAYERS

MARKET SCOPE

REPORT METRIC	DETAILS
Market Size in 2024 (Value)	USD 16.88 BN
Market Forecast in 2030 (Value)	USD 26.78 BN
Growth Rate	4.2%
Years Considered	2021–2035
Base Year	2024
Forecast Period	2025–2035
Units Considered	Value (USD Billion)
Report Coverage	Revenue forecast, company ranking, competitive landscape, growth factors, and trends
Segments Covered	By Type: Core Switches Distribution Switches Access Switches By Technology: Ethernet Fibre Channel Infiniband By Bandwidth: ≤1 GBPS >1 GBPS to ≤10 GBPS >10 GBPS to ≤40 GBPS >40 GBPS By End User: Enterprises Telecommunication Industry Government Organizations Cloud Service Providers
Regions Covered	North America, Europe, Asia Pacific, RoW

WHAT IS IN IT FOR YOU: data-center-switch-market REPORT CONTENT GUIDE

DELIVERED CUSTOMIZATIONS

We have successfully delivered the following deep-dive customizations:

CLIENT REQUEST	CUSTOMIZATION DELIVERED	VALUE ADDS
Hyperscale Cloud Provider	Benchmarking of 100G/200G/400G/800G switch performance; analysis of leaf–spine and AI-fabric architectures; evaluation of vendor capabilities for ultra-low-latency GPU cluster networking	Improve high-density cluster performance; eliminate network bottlenecks; support faster AI/ML workload execution
Telecom & 5G Network Provider	Analysis of edge data center switching requirements; benchmarking of carrier-grade switches; assessment of network slicing and 5G transport readiness	Strengthen 5G rollout; enable low-latency edge services; improve traffic handling for high-bandwidth applications
Switch Manufacturer / OEM	Competitive benchmarking across core, distribution, and access switches; mapping of regional demand trends; identification of high-growth bandwidth segments (100G–800G)	Enhance product positioning; guide R&D priorities; strengthen go-to-market strategy
Government / Public Sector IT	Network security and resiliency assessment; vendor evaluation for mission-critical workloads; benchmarking of secure switching platforms	Improve cybersecurity posture; ensure high reliability for public infrastructure; support compliance with regulatory frameworks
Colocation & Hosting Provider	Analysis of multi-tenant network performance needs; evaluation of scalable spine architectures; benchmarking of automation and visibility tools	Improve tenant experience; optimize rack-to-rack performance; enhance manageability and uptime
HPC / Research Institution	Performance assessment of InfiniBand vs. high-speed Ethernet; analysis of HPC fabric topologies; guidance on upgrade paths for simulation and AI research networks	Accelerate compute performance; reduce job completion time; enhance scalability for future research workloads

RECENT DEVELOPMENTS

January 2025 : Cisco introduced its next-generation Nexus 9800 modular switches featuring 800G Ethernet line cards and advanced telemetry capabilities, designed to deliver ultra-low-latency, high-capacity fabrics for hyperscale AI clusters and large cloud data centers.
October 2024 : Arista Networks launched new 400G/800G switches based on Broadcom Tomahawk 5 silicon, along with enhancements to its EOS software stack to support AI workloads, congestion control, and high-density leaf–spine deployments across hyperscale environments.
August 2024 : Juniper Networks unveiled updates to its QFX series and Apstra intent-based networking platform, enabling automated fabric provisioning, improved telemetry, and optimized performance for multi-cloud and edge data center networks.
July 2024 : NVIDIA (Mellanox) released its latest Quantum-X InfiniBand switches with NDR 400Gb/s capabilities, targeting large GPU clusters and HPC centers requiring ultra-low latency and extreme throughput for AI training and simulation workloads.
June 2024 : Huawei announced its CloudEngine 18000K series with support for 800G ports and enhanced AI-fabric scheduling, built to support China’s rapidly expanding AI and cloud data center infrastructure with higher scalability and network efficiency.

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TITLE

PAGE NO

INTRODUCTION

EXECUTIVE SUMMARY

PREMIUM INSIGHTS

MARKET OVERVIEW

INDUSTRY TRENDS

5.1 INTRODUCTION
5.2 PORTERS FIVE FORCE ANALYSIS

THREAT FROM NEW ENTRANTS

THREAT OF SUBSTITUTES

BARGAINING POWER OF SUPPLIERS

BARGAINING POWER OF BUYERS

INTENSITY OF COMPETITIVE RIVALRY
5.3 MACROECONOMICS INDICATORS

INTRODUCTION

GDP TRENDS AND FORECAST

TRENDS IN GLOBAL DATA CENTER SWITCH MARKET
5.4 TRADE ANALYSIS

IMPORT SCENARIO

EXPORT SCENARIO
5.5 VALUE CHAIN ANALYSIS
5.6 ECOSYSTEM ANALYSIS
5.7 PRICING ANALYSIS
5.8 KEY CONFERENCES AND EVENTS, 2025–2026
5.9 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
5.10 INVESTMENT AND FUNDING SCENARIO
5.11 CASE STUDY ANALYSIS
5.12 IMPACT OF 2025 US TARIFF – DATA CENTER SWITCH MARKET

INTRODUCTION

KEY TARIFF RATES

PRICE IMPACT ANALYSIS

IMPACT ON COUNTRIES/REGIONS

IMPACT ON APPLICATIONS

STRATEGIC DISRUPTION THROUGH TECHNOLOGY, PATENTS, DIGITAL, AND AI ADOPTIONS

6.1 KEY EMERGING TECHNOLOGIES
6.2 COMPLEMENTARY TECHNOLOGIES
6.3 ADJACENT TECHNOLOGIES
6.4 TECHNOLOGY ROADMAP
6.5 PATENT ANALYSIS
6.6 FUTURE APPLICATIONS
6.7 IMPACT OF AI/GEN AI ON DATA CENTER SWITCH MARKET

TOP USE CASES AND MARKET POTENTIAL

BEST PRACTICES IN DATA CENTER SWITCH USAGE

CASE STUDIES OF AI IMPLEMENTATION IN THE DATA CENTER SWITCH MARKET

INTERCONNECTED ADJACENT ECOSYSTEM AND IMPACT ON MARKET PLAYERS

CLIENTS’ READINESS TO ADOPT AI IN THE DATA CENTER SWITCH MARKET

REGULATORY LANDSCAPE

7.1 REGIONAL REGULATIONS AND COMPLIANCE

REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS

INDUSTRY STANDARDS

CUSTOMER LANDSCAPE & BUYER BEHAVIOR

8.1 DECISION-MAKING PROCESS
8.2 BUYER STAKEHOLDERS AND BUYING EVALUATION CRITERIA

KEY STAKEHOLDERS IN THE BUYING PROCESS

BUYING CRITERIA
8.3 ADOPTION BARRIERS & INTERNAL CHALLENGES
8.4 UNMET NEEDS FROM VARIOUS APPLICATIONS
8.5 MARKET PROFITABILITY

DATA CENTER SWITCH, BY TYPE

110

9.1 INTRODUCTION
9.2 CORE SWITCHES

SPINE SWITCHES

HIGH-CAPACITY MODULAR SWITCHES

AI FABRIC/HPC CORE SWITCHES
9.3 DISTRIBUTION SWITCHES

AGGREGATION SWITCHES

LEAF SWITCHES

UNIFIED ACCESS DISTRIBUTION SWITCHES
9.4 ACCESS SWITCHES

TOP-OF-RACK (TOR) SWITCHES

END-OF-ROW (EOR) SWITCHES

ACCESS EDGE SWITCHES

DATA CENTER SWITCH, TECHNOLOGY

130

10.1 INTRODUCTION
10.2 ETHERNET

L2/L3 ETHERNET SWITCHING

100G/200G/400G ETHERNET

AI/ML-OPTIMIZED ETHERNET
10.3 FIBRE CHANNEL

16G FC

32G FC

64G FC
10.4 INFINIBAND

SDR/DDR/QDR

FDR

EDR/HDR/NDR

DATA CENTER SWITCH, BY BANDWIDTH

150

11.1 INTRODUCTION
11.2 ≤1 GBPS
11.3 >1 GBPS TO ≤10 GBPS
11.4 >10 GBPS TO ≤40 GBPS
11.5 >40 GBPS

DATA CENTER SWITCH, BY STORAGE ARCHITECTURE

170

12.1 INTRODUCTION
12.2 FILE-AND-OBJECT-BASED STORAGE

FILE STORAGE

OBJECT STORAGE
12.3 BLOCK STORAGE

DATA CENTER SWITCH, BY END USER

190

13.1 INTRODUCTION
13.2 ENTERPRISES
13.3 TELECOMMUNICATIONS INDUSTRY
13.4 GOVERNMENT ORGANIZATIONS
13.5 CLOUD SERVICE PROVIDERS

DATA CENTER SWITCH, BY REGION

210

14.1 INTRODUCTION
14.2 NORTH AMERICA

US

CANADA

MEXICO
14.3 EUROPE

GERMANY

UK

FRANCE

ITALY

REST OF EUROPE
14.4 ASIA PACIFIC

CHINA

JAPAN

SOUTH KOREA

INDIA

REST OF ASIA PACIFIC
14.5 ROW

MIDDLE EAST & AFRICA

- GCC

- Rest of the Middle East

SOUTH AMERICA

DATA CENTER SWITCH, COMPETITIVE LANDSCAPE

230

15.1 INTRODUCTION
15.2 KEY PLAYER STRATEGIES/RIGHT TO WIN
15.3 REVENUE ANALYSIS
15.4 MARKET SHARE ANALYSIS, 2024
15.5 COMPANY VALUATION AND FINANCIAL METRICS
15.6 PRODUCT/BRAND COMPARISON
15.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2024

STARS

EMERGING LEADERS

PERVASIVE PLAYERS

PARTICIPANTS

COMPANY FOOTPRINT: KEY PLAYERS, 2024

- Company Footprint

- Region Footprint

- End User Footprint

- Bandwidth Footprint

- Type Footprint
15.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2024

PROGRESSIVE COMPANIES

RESPONSIVE COMPANIES

DYNAMIC COMPANIES

STARTING BLOCKS

COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2024

- Detailed List of Key Startups/SMEs

- Competitive Benchmarking of Key Startups/SMEs
15.9 COMPETITIVE SCENARIO

PRODUCT LAUNCHES

DEALS

DATA CENTER SWITCH, COMPANY PROFILES

250

16.1 KEY PLAYERS

CISCO

HUAWEI TECHNOLOGIES INC.

HEWLETT PACKARD ENTERPRISE (HPE)

ARISTA NETWORKS

JUNIPER NETWORKS

NEC

MELLANOX TECHNOLOGIES

EXTREME NETWORKS

FORTINET

ZTE
16.2 OTHER PLAYERS

RESEARCH METHODOLOGY

270

17.1 RESEARCH DATA
17.2 SECONDARY DATA

KEY DATA FROM SECONDARY SOURCES

PRIMARY DATA

- Key Data from Primary Sources

- Key Primary Participants

- Breakdown of Primary Interviews

- Key Industry Insights

MARKET SIZE ESTIMATION

- Bottom-Up Approach

- Top-Down Approach

- Base Number Calculation

MARKET FORECAST APPROACH

- Supply Side

- Demand Side

DATA TRIANGULATION

RESEARCH ASSUMPTIONS

RESEARCH LIMITATIONS AND RISK ASSESSMENT

APPENDIX

310

18.1 DISCUSSION GUIDE
18.2 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
18.3 AVAILABLE CUSTOMIZATIONS
18.4 RELATED REPORTS
18.5 AUTHOR DETAILS

Data Center Switch, by TYPE

INTRODUCTION

The Data Center Switch has been segmented by type.

TABLE 1Data Center Switch, By type, 2021–2024 (USD MILLION)

Type	2021	2022	2023	2024	CAGR (2021–2024)
Core Switches	xx	xx	xx	xx	xx%
Distribution Switches	xx	xx	xx	xx	xx%
Access Switches	xx	xx	xx	xx	xx%
Total	xx	xx	xx	xx	xx%