Data Center Accelerator Companies - NVIDIA Corporation (US) and Intel Corporation (US) are the Key Players

The data center accelerator market is projected to reach USD 372.68 billion by 2030 from USD 170.81 billion in 2025, registering a CAGR of 16.9% during the forecast period.

The data center accelerator market is primarily driven by the surging demand for high-performance computing to support artificial intelligence (AI), machine learning (ML), big data analytics, and cloud-based applications across diverse industries. As enterprises and hyperscale operators increasingly adopt accelerators such as GPUs, FPGAs, and ASICs, these technologies enhance processing speed, workload optimization, and energy efficiency, enabling real-time decision-making and advanced computing at scale. The rapid digital transformation of sectors including BFSI, healthcare, automotive, and retail further fuels deployment, as businesses require low-latency, secure, and scalable data processing solutions. Technological advancements in heterogeneous integration, chiplet-based designs, and AI-optimized frameworks accelerate market expansion by offering modular and efficient solutions tailored for complex workloads. In addition, the increasing investment in hyperscale and edge data centers, combined with increasing adoption of cloud services and emerging 5G applications, strengthens the demand for accelerators.

Major Data Center Accelerator Companies Include:

• NVIDIA Corporation (US)
• Advanced Micro Devices, Inc. (US)
• Intel Corporation (US)
• Alphabet, Inc. (US)
• Amazon Web Services, Inc. (US)
• Qualcomm Technologies, Inc. (US)
• Marvell (US)
• Achronix Semiconductor Corporation (US)
• Broadcom (US)
• Graphcore, Ltd. (UK)

Key companies in the data center accelerator market include NVIDIA Corporation (US), Intel Corporation (US), Advanced Micro Devices, Inc. (US), Alphabet, Inc. (US), and Amazon Web Services, Inc. (US). These players focus on growth strategies, such as product innovations, partnerships, acquisitions, and collaborations. For instance, in April 2024, NVIDIA introduced the H200 GPU, designed to accelerate generative AI, scientific computing, and cloud workloads with higher memory capacity and efficiency, strengthening its position in high-performance data center computing.

NVIDIA Corporation (US):

NVIDIA Corporation is a global leader in accelerated computing, playing a central role in shaping the data center accelerator market through its innovations in GPU architecture, AI platforms, and high-performance computing solutions. The company’s data center portfolio, led by its A100, H100, and the recently launched Blackwell GPUs, delivers unmatched performance for AI training, inference, and large-scale data analytics. Its CUDA ecosystem and software frameworks, including TensorRT and NVIDIA AI Enterprise, enable seamless optimization of workloads across hyperscale, enterprise, and edge environments. The company has established strong partnerships with leading cloud service providers, enterprises, and research institutions to drive adoption of GPU-accelerated solutions in IT & telecom, healthcare, automotive, and BFSI sectors. In July 2024, the company expanded its accelerator offerings with enhanced AI inference capabilities, strengthening its position in cloud and automotive applications. With continuous innovation and ecosystem-driven growth, it remains at the forefront of the global data center accelerator landscape.

Intel Corporation (US):

Intel Corporation is a key player in the data center accelerator market, offering a diverse portfolio of CPUs, GPUs, FPGAs, and AI processors to address heterogeneous computing needs across cloud, enterprise, and edge environments. The company’s portfolio includes Intel Xeon Scalable processors with built-in AI capabilities, Habana Gaudi AI processors for training and inference, and Intel Agilex FPGAs for customizable acceleration. In the GPU space, the company has introduced the Data Center GPU Max Series, designed for HPC and AI training, and the Flex Series GPUs, optimized for scalable inference, cloud gaming, and media processing. These accelerators are integrated with its oneAPI software framework, enabling cross-architecture workload optimization. It collaborates with hyperscale providers, enterprises, and automotive OEMs to deliver efficient AI-driven services. In April 2024, Intel expanded its Gaudi offerings with the introduction of the Gaudi 3 AI accelerator, enhancing performance-per-watt and workload flexibility and reinforcing its cloud, AI, and high-performance computing market competitiveness.

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Market Ranking

The data center accelerator market is dominated by leading global technology providers delivering advanced hardware and software solutions to enhance computing performance, AI workloads, and high-performance data processing. NVIDIA Corporation (US) holds a strong position with its GPU-based accelerator portfolio, including the A100, H100, and Blackwell GPUs, supported by its CUDA ecosystem and AI software frameworks for seamless deployment across hyperscale, enterprise, and edge data centers. Advanced Micro Devices, Inc. (US) leverages its Radeon Instinct GPUs and EPYC CPUs to provide scalable acceleration solutions for AI training, inference, and HPC applications. Intel Corporation (US) offers a comprehensive suite of CPUs, FPGAs, and GPUs, including the Xeon Scalable processors, Habana Gaudi AI processors, and Data Center GPU Max Series, integrated with its oneAPI software for heterogeneous workloads. Amazon Web Services, Inc. (US) delivers GPU- and FPGA-accelerated cloud instances for enterprise AI, analytics, and high-throughput computing. Alphabet, Inc. (US), through Google Cloud, provides TPU-based accelerators optimized for AI and machine learning workloads, enabling scalable, low-latency processing. These leaders drive innovation, ecosystem integration, and adoption of high-performance data center accelerators globally.