The latest report by IMARC Group, titled "Data Center Accelerator Market Report by Accelerator Type (High-performance Computing, Cloud Accelerator), Processor Type (Central Processing Unit (CPU), Graphics Processing Unit (GPU), Field-Programmable Gate Array (FPGA), Application-specific Integrated Circuit (ASIC)), Application (Deep Learning Training, Public Cloud Interface, Enterprise Interface), and Region 2025-2033," finds that the global data center accelerator market size reached USD 25.0 Billion in 2024. Data center accelerators refer to software programs or hardware devices designed to process visual data and enhance the overall performance of data centers. They perform complex computational functions and help optimize and speed up machine learning (ML), deep learning, and high-performance computing (HPC) workloads of modern data centers. They also assist in reducing the overall costs and improving energy efficiency as they consume less power due to their resource-sharing capability with the main processor. In recent years, data center accelerators have gained immense traction as they solve customer problems and enable high-performance computing workloads with excellent cost and power efficiency.
Global Data Center Accelerator Market Trends:
The increasing network bandwidth and the rising need to manage complex datasets and analytics workloads represent the primary factors driving the market growth. Additionally, the growing usage of artificial intelligence (AI) to streamline business operations has strengthened the need for data center accelerators for managing AI workloads. This can be attributed to the significant shift toward remote working due to the implementation of strict lockdowns and social distancing norms amid the recent coronavirus disease (COVID-19) outbreak. Besides this, the increasing machine learning (ML) applications, such as voice recognition, fraud detection, voice search, recommendation engines, sentiment analysis, image recognition, and motion detection, has catalyzed the demand for data center accelerators to handle ML workloads. Furthermore, there has been widespread adoption of on-demand graphics processing unit (GPU) cloud computing-based solutions on account of the escalating demand for accelerated computing. Along with this, the surging demand for cloud-based services and the rising usage of deep learning have propelled the market growth. Other factors, including the widespread adoption of Field Programmable Gate Arrays (FGPA) chips, shifting focus toward parallel computing AI data centers, growing data storage requirements, extensive research and development (R&D) activities, and product innovations, are also creating a favorable market outlook. Looking forward, the market value is expected to reach USD 172.6 Billion by 2033, expanding at a CAGR of 24% during the forecast period (2025-2033).
Market Summary:
Report Features | Details |
---|---|
Base Year of the Analysis | 2024 |
Historical Period | 2019-2024 |
Forecast Period | 2025-2033 |
Units | Billion USD |
Segment Coverage | Accelerator Type, Processor Type, Application, Region |
Region Covered | Asia Pacific, Europe, North America, Latin America, Middle East and Africa |
Countries Covered | United States, Canada, Germany, France, United Kingdom, Italy, Spain, Russia, China, Japan, India, South Korea, Australia, Indonesia, Brazil, Mexico |
Companies Covered | Achronix Semiconductor Corporation, Advanced Micro Devices Inc., Cisco Systems Inc., Dell Technologies Inc., Gyrfalcon Technology Inc., Intel Corporation, International Business Machines Corporation, Marvell Technology Inc., Microsemi Corporation (Microchip Technology Inc.), Nvidia Corporation, Qualcomm, and Xilinx Inc. |
Customization Scope | 10% Free Customization |
Post-Sale Analyst Support | 10-12 Weeks |
Delivery Format | PDF and Excel through Email (We can also provide the editable version of the report in PPT/Word format on special request) |
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