The data center fabric market size is expected to see rapid growth in the next few years. It will grow to $19.82 billion in 2030 at a compound annual growth rate (CAGR) of 19.0%. The growth in the forecast period can be attributed to rising artificial intelligence workload requirements, growing adoption of high-performance computing, increasing demand for edge data centers, expansion of hyperscale cloud infrastructure, and growing need for scalable and resilient network architectures. Major trends in the forecast period include artificial intelligence-optimized data center fabrics, cloud-native network fabric architectures, growing adoption of high-bandwidth interconnects, low-latency network fabric design, and disaggregated data center networking.
The increasing adoption of cloud computing is expected to propel the growth of the data center fabric market going forward. Cloud computing refers to the delivery of computing services, including storage, processing, networking, and software, over the internet, enabling scalable and on-demand access to digital resources. The adoption of cloud computing is increasing due to the growing need for scalable information technology infrastructure, as organizations require flexible computing resources that can quickly adjust to changing workloads without significant upfront investments in physical hardware. Cloud computing enables data center fabric by providing scalable, flexible, and highly connected infrastructure that supports dynamic resource allocation, seamless workload management, and efficient data movement across distributed computing environments. For instance, in June 2026, according to Eurostat, the Luxembourg-based official statistical office of the European Union, 52.74% of enterprises in the European Union (EU) used paid cloud computing services in 2025. Therefore, the increasing adoption of cloud computing is driving the growth of the data center fabric market.
Key companies operating in the data center fabric market are focusing on developing innovative solutions, such as intelligent Ethernet switches, to enhance artificial intelligence workload performance, improve network scalability, and enable ultra-low-latency data center connectivity. Intelligent Ethernet switches are advanced networking devices that use automation, artificial intelligence-driven management, and high-speed switching capabilities to optimize data traffic, improve network performance, and enhance the efficiency and reliability of data center operations. For example, in April 2026, Huawei Technologies Co. Ltd., a China-based information and communications technology company, launched the Xinghe AI Fabric 2.0 Solution along with more than 10 new CloudEngine data center switches for the Northern Africa market. The solution is built on a three-layer architecture comprising AI Brain, AI Connectivity, and AI Network Elements, integrating Rock-Solid Architecture 2.0, StarryWing Digital Map 2.0, Xinghuan AI Turbo 2.0, and iFlashboot 2.0 to create an ultra-efficient and highly resilient computing network. It improves artificial intelligence training and inference efficiency, enables intelligent network operations and maintenance, supports automated management, and enhances network reliability. The accompanying CloudEngine switches support 400G and 800G StarryLink optical modules, including high-density and liquid-cooled models, enabling enterprises to build stable, energy-efficient, and high-performance artificial intelligence-ready data center networks for large-scale digital transformation initiatives.
In July 2025, Hewlett Packard Enterprise Company, a US-based edge-to-cloud company, acquired Juniper Networks for an undisclosed amount. Through this acquisition, HPE aims to strengthen its networking portfolio by combining cloud-native, artificial intelligence-driven networking capabilities with its hybrid cloud and artificial intelligence infrastructure offerings, expanding its market presence and accelerating innovation in artificial intelligence-native networking. Juniper Networks Inc. is a US-based company providing comprehensive, standards-based data center fabric solutions.
Major companies operating in the data center fabric market are NVIDIA Corporation, Dell Technologies Inc, Broadcom Inc, International Business Machines Corporation, Oracle Corporation, Cisco Systems Inc, Intel Corporation, Hewlett Packard Enterprise Company, Advanced Micro Devices Inc, Nokia Corporation, Celestica Inc, Arista Networks Inc, Marvell Technology Inc, Extreme Networks Inc, Edgecore Networks Corporation, DriveNets Ltd, Huawei Technologies Co Ltd, Cornelis Networks Inc, Arrcus Inc, Micas Networks Inc.
North America was the dominant region in the data center fabric market in 2025. Asia-Pacific is expected to be the rapidly growing region in the forecast period. The regions covered in the data center fabric market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
The countries covered in the data center fabric market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
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Table of Contents
Executive Summary
Data Center Fabric Market Global Report 2026 provides strategists, marketers and senior management with the critical information they need to assess the market.This report focuses data center fabric market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
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Description
Where is the largest and fastest growing market for data center fabric? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The data center fabric market global report answers all these questions and many more.The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.
- The market characteristics section of the report defines and explains the market. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
- The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
- The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
- The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
- The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
- The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
- The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
- The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
- Market segmentations break down the market into sub markets.
- The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
- Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
- The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
- The company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.
Scope
Markets Covered:
1) By Component: Hardware; Software; Services2) By Organization Size: Large Enterprises; Small And Medium Enterprises
3) By Data Center Type: Enterprise Data Centers; Cloud Data Centers; Colocation Data Centers; Edge Data Centers
4) By Deployment Mode: On Premises; Cloud Based
5) By Application: Cloud Computing; Artificial Intelligence Workloads; Big Data Analytics; High Performance Computing; Storage Networking; Virtualization
Subsegments:
1) By Hardware: Ethernet Switches; InfiniBand Switches; Network Interface Cards; Optical Transceivers; Network Cables; Fabric Gateways2) By Software: Network Fabric Management Software; Software Defined Networking Software; Network Automation Software; Network Monitoring And Analytics Software; Fabric Security Software; Virtual Network Control Software
3) By Services: Consulting Services; Integration And Deployment Services; Managed Services; Maintenance And Support Services; Training Services; Network Assessment Services
Companies Mentioned: NVIDIA Corporation; Dell Technologies Inc; Broadcom Inc; International Business Machines Corporation; Oracle Corporation; Cisco Systems Inc; Intel Corporation; Hewlett Packard Enterprise Company; Advanced Micro Devices Inc; Nokia Corporation; Celestica Inc; Arista Networks Inc; Marvell Technology Inc; Extreme Networks Inc; Edgecore Networks Corporation; DriveNets Ltd; Huawei Technologies Co Ltd; Cornelis Networks Inc; Arrcus Inc; Micas Networks Inc
Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain
Regions: Asia-Pacific; South East Asia; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time Series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita.
Data Segmentations: Country and regional historic and forecast data, market share of competitors, market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Delivery Format: Word, PDF or Interactive Report + Excel Dashboard
Added Benefits
- Bi-Annual Data Update
- Customisation
- Expert Consultant Support
Companies Mentioned
- NVIDIA Corporation
- Dell Technologies Inc
- Broadcom Inc
- International Business Machines Corporation
- Oracle Corporation
- Cisco Systems Inc
- Intel Corporation
- Hewlett Packard Enterprise Company
- Advanced Micro Devices Inc
- Nokia Corporation
- Celestica Inc
- Arista Networks Inc
- Marvell Technology Inc
- Extreme Networks Inc
- Edgecore Networks Corporation
- DriveNets Ltd
- Huawei Technologies Co Ltd
- Cornelis Networks Inc
- Arrcus Inc
- Micas Networks Inc

