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Data Center Accelerator Market Revenue Forecast: $34.89 Billion In 2026 Rising To $93.06 Billion In 2030
The data center accelerator market has experienced significant expansion in recent years. This market is projected to grow from $27.13 billion in 2025 to $34.89 billion in 2026, at a compound annual growth rate (CAGR) of 28.6%. Historically, this growth has been driven by factors such as increasing data center compute intensity, the expansion of cloud service providers, a heightened demand for high-performance computing, the early adoption of GPU acceleration, and an increase in enterprise data workloads.
The data center accelerator market is projected to experience rapid expansion over the coming years. This market is set to reach a value of $93.06 billion by 2030, demonstrating a compound annual growth rate (CAGR) of 27.8%. Factors contributing to this growth during the projection period include the spread of generative AI applications, increased capital expenditure in hyperscale data centers, a surge in demand for processing with minimal latency, heightened emphasis on accelerator power efficiency, and the broader embrace of heterogeneous computing designs. Key developments anticipated in the forecast timeframe encompass the increasing integration of AI-optimized accelerators, a rise in the implementation of GPU-based data center tasks, the expanding application of ASICs for AI inference, the broadening deployment of HPC accelerators within cloud data centers, and a reinforced commitment to energy-efficient accelerator architectures.
Free Sample Report: Data Center Accelerator Market Size, Trends And Forecast To 2030:
Data Center Accelerator Market Growth Catalyst: What Is Creating New Demand?
The expanding count of data centers is projected to drive the growth of the data center accelerator market in the future. A data center is a facility housing computer systems and related equipment, such as storage and telecommunications. It is employed to store, process, and manage vast amounts of data, alongside distributing and enabling resource access. Data center accelerators are increasingly vital in these facilities, delivering notable performance and efficiency enhancements for a broad spectrum of workloads. For instance, Savills, a UK-based real estate services company, indicates that 60% of South Korea’s data center capacity is presently situated in Seoul, a figure anticipated to climb to 80% by 2029. To alleviate this centralization, the Korean government is encouraging data center expansion in other areas through incentives like discounted power and infrastructure support. Thus, the rising number of data centers is propelling the expansion of the data center accelerator market.
Data Center Accelerator Market Segment Overview: Categories Covered In The 2026 Report
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
How Are Leading Companies Shaping Data Center Accelerator Market Trends?
Leading firms within the data center accelerator market are concentrating on creating advanced technologies, like high-bandwidth, inference-optimized GPUs, to address the growing need for large-language-model training and AI inference. A high-performance AI accelerator refers to a specialized GPU or ASIC, engineered to relieve traditional CPUs of compute-intensive AI operations, characterized by extensive parallelism, high-bandwidth memory, and optimized tensor cores. In contrast to conventional CPU-only designs, these accelerators offer substantially greater throughput, reduced latency, and enhanced energy efficiency. As an example, in October 2024, AMD, a semiconductor firm based in the U.S., introduced the AMD Instinct MI325X, an advanced AI accelerator tailored for data centers. The MI325X is equipped with 256 GB of HBM3E memory, a memory bandwidth of up to 6.0 TB/s, and includes FP16/FP8 tensor cores, providing accelerated performance for foundation-model training, inference, and large context LLM workloads. This product is optimized for hyperscale data centers and cloud settings, providing superior AI performance, increased memory capacity, and improved software ecosystem support through AMD ROCm, when compared to prior-generation accelerators.
Data Center Accelerator Market Players: Key Companies Shaping 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 Regional Performance And Geographic Coverage
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.
