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Data Center Accelerator Market Size Outlook: How Quickly Will Revenue Expand Through 2030?
The data center accelerator market has recently experienced substantial exponential growth. This market is projected to expand from $27.13 billion in 2025 to $34.89 billion in 2026, demonstrating a compound annual growth rate (CAGR) of 28.6%. Historically, this growth is attributable to an increase in data center compute intensity, the expansion of cloud service providers, a heightened demand for high-performance computing, the early implementation of GPU acceleration, and the rising volume of enterprise data workloads.
The data center accelerator market is projected to experience substantial expansion in the coming years. By 2030, its valuation is anticipated to reach $93.06 billion, exhibiting a compound annual growth rate (CAGR) of 27.8%. This forecasted growth is primarily driven by factors such as the proliferation of generative AI applications, increased capital expenditure in hyperscale data centers, a rising need for low-latency processing capabilities, a heightened emphasis on accelerator power efficiency, and the broader integration of heterogeneous computing architectures. Key developments expected during this period involve a greater uptake of AI-optimized accelerators, an increase in the deployment of GPU-based workloads within data centers, the expanding utilization of ASICs for AI inference, the growth of HPC accelerators in cloud environments, and a sharpened focus on creating energy-efficient accelerator designs.
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Data Center Accelerator Market Demand Drivers Opening New Revenue Streams
The expanding number of data centers is anticipated to propel the growth of the data center accelerator market moving forward. A data center is a specialized facility housing computer systems alongside associated hardware such as storage and telecommunications infrastructure. Beyond its role in distributing resources and enabling access, it also functions to store, process, and manage vast quantities of data. Data center accelerators are becoming increasingly crucial within these centers, offering substantial improvements in performance and efficiency across diverse workloads. For example, as reported by Savills, a UK-based real estate services company, 60% of South Korea’s data center capacity is presently situated in Seoul, a proportion projected to reach 80% by 2029. To address this high concentration, the Korean government is promoting the establishment of data centers in alternative areas through various incentives, including reduced power costs and infrastructure assistance. Consequently, the rising proliferation of data centers is fueling the expansion of the data center accelerator market.
Data Center Accelerator Market Segment Performance And Emerging Opportunities
The data center accelerator market covered in this report is segmented –
1) By Processor Type: CPU (Central Processing Unit), GPU (Graphics Processing Unit), FPGA (Field-Programmable Gate Array), ASIC (Application-specific Integrated Circuit)
2) By Type: HPC Accelerator, Cloud Accelerator
3) By Application: Deep Learning, Public Cloud Interface, Enterprise Interface
4) By End-User: Telecommunication & IT, Healthcare, BFSI, Government, Energy, Other End Users
Subsegments:
1) By CPU (Central Processing Unit): Server-Class CPUs, Cloud-Native CPUs, AI-Optimized CPUs
2) By GPU (Graphics Processing Unit): Data Center GPUs, AI And Deep Learning GPUs, HPC GPUs
3) By FPGA (Field-Programmable Gate Array): High-Performance Data Center FPGAs, AI And Inference Acceleration FPGAs, Network And Storage Acceleration FPGAs
4) By ASIC (Application-Specific Integrated Circuit): AI And Machine Learning ASICs, Deep Learning Training ASICs, Inference Acceleration ASICs
Data Center Accelerator Market Trends Powering Strategic Industry Growth
Leading companies in the data center accelerator market are concentrating on developing technological advancements, such as high-bandwidth, inference-optimized GPUs, to satisfy the increasing demand for large-language-model training and AI inference. A high-performance AI accelerator is a specialized GPU or ASIC designed to offload compute-intensive AI tasks from traditional CPUs, characterized by extensive parallelism, high-bandwidth memory, and optimized tensor cores. These accelerators deliver significantly higher throughput, lower latency, and improved energy efficiency when compared to conventional CPU-only architectures. For instance, in October 2024, AMD, a U.S.-based semiconductor company, introduced the AMD Instinct MI325X, an advanced AI accelerator for data centers. The MI325X features 256 GB of HBM3E memory, up to 6.0 TB/s memory bandwidth, and FP16/FP8 tensor cores, offering accelerated performance for foundation-model training, inference, and large context LLM workloads. This product is optimized for hyperscale data centers and cloud environments, providing better AI performance, higher memory capacity, and enhanced software ecosystem support via AMD ROCm compared to previous-generation accelerators.
Data Center Accelerator Market Key Players: Which Companies Lead Industry Competition?
Major companies operating in the data center accelerator market are Intel Corporation; Advanced Micro Devices Inc.; NVIDIA Corporation; International Business Machines Corporation; Google LLC; Microsoft Corporation; Amazon.com Inc.; Oracle Corporation; SAP SE; Fujitsu Limited; NEC Corporation; Lenovo Group Limited; Hewlett-Packard Development Company; Cisco Systems Inc.; SambaNova Systems Inc.; Groq Inc.; Cerebras Systems Inc.; Graphcore Ltd.; Ampere Computing LLC; Lightmatter Inc.; Esperanto Technologies Inc.
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Data Center Accelerator Market Top Region: Where Does Most Revenue Come From?
North America was the largest region in the data center accelerator market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the data center accelerator market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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Wasay has over a decade of experience in market research, data modelling, and analytics, with prior experience at GlobalData and Decision Tree Consulting Services. At The Business Research Company , he leads research operations across syndicated studies, customized consulting engagements, and the Global Market Model platform. His professional experience includes supporting organizations such as Boston Consulting Group, KPMG, and Ernst & Young. Wasay holds a degree in Electronics and Communications Engineering, postgraduate management qualifications from International Management Institute Belgium and Indian School of Business and Entrepreneurship, and completed the Integrated Program in Business Analytics from Indian Institute of Management Indore.
