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Data Center Accelerator Market Value Analysis: What Growth Is Expected Over The Forecast Period?
The data center accelerator market has experienced significant expansion in recent years. Its size is projected to increase from $27.13 billion in 2025 to $34.89 billion in 2026, achieving a compound annual growth rate (CAGR) of 28.6%. This historical growth can be primarily linked to several factors: a rise in data center compute intensity, the expansion of cloud service providers, an escalating demand for high-performance computing, the early adoption of GPU acceleration, and an increase in enterprise data workloads.
The data center accelerator market size is projected for substantial expansion in the coming years. This market is anticipated to reach $93.06 billion by 2030, exhibiting a compound annual growth rate (CAGR) of 27.8%. Factors contributing to this growth include the proliferation of generative AI applications, increased investments in hyperscale data centers, a surge in demand for low-latency processing, a heightened emphasis on accelerator power efficiency, and the broader embrace of heterogeneous computing architectures. Key trends expected during this period encompass the growing integration of AI-optimized accelerators, the increased deployment of GPU-based data center workloads, the expanded utilization of ASICs for AI inference, the broadening application of HPC accelerators within cloud data centers, and a stronger focus on energy-efficient accelerator designs.
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Data Center Accelerator Market Growth Drivers: What Factors Are Accelerating Expansion?
The rising count of data centers is anticipated to fuel the expansion of the data center accelerator market moving forward. A data center is a specialized facility where computer systems and related equipment, such as storage and telecommunications, are maintained. It serves to store, process, and manage enormous volumes of data, alongside distributing and facilitating access to resources. Data center accelerators are increasingly vital in data centers, providing considerable performance and efficiency enhancements for a broad spectrum of workloads. For instance, according to Savills, a UK-based real estate services company, 60% of South Korea’s data center capacity is currently located in Seoul, and this figure is projected to reach 80% by 2029. To alleviate this concentration, the Korean government is encouraging data center development in other regions by offering incentives like discounted power and infrastructure support. Thus, the increasing number of data centers is driving the growth of the data center accelerator market.
Data Center Accelerator Market Segmentation: How Is The Market Structured Across Key Categories?
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 Industry Trends Shaping Future Revenue Growth
Leading firms in 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. An AI accelerator that offers high performance is a specialized GPU or ASIC, engineered to handle computationally demanding AI tasks traditionally performed by CPUs, and is characterized by extensive parallelism, high-bandwidth memory, and optimized tensor cores. In contrast to standard CPU-only architectures, these accelerators provide considerably greater throughput, reduced latency, and enhanced energy efficiency. As an example, in October 2024, the U.S.-based semiconductor company AMD introduced the AMD Instinct MI325X, which is an advanced AI accelerator designed for data centers. The MI325X incorporates 256 GB of HBM3E memory, up to 6.0 TB/s memory bandwidth, and FP16/FP8 tensor cores, thereby delivering accelerated performance for foundation-model training, inference, and large context LLM workloads. This product is optimized for use in hyperscale data centers and cloud environments, yielding improved AI performance, greater memory capacity, and better software ecosystem support through AMD ROCm when contrasted with earlier generation accelerators.
Data Center Accelerator Market Competitive Landscape And Leading Companies
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 Analysis: Which Region Leads By Revenue?
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.