Accelerator Card Market Growth Opportunity, Developments and Regional Forecast to 2020-2027
Global
Accelerator
Card Market is
expected to reach USD
28,995.7 Million by 2025 at a CAGR of 40.47% during
the forecast period. Market Research Future (MRFR), in its
report, envelops
segmentations and drivers to provide a better glimpse of the market in the
coming years. The demand for artificial intelligence and machine learning
increases, the growth in data collection and analysis increases the need for
the deployment of accelerator cards. Xilinx, NVIDIA, Intel, AMD are among the
prominent manufacturers offering hardware acceleration solutions to data
centers and cloud servers. Moreover, the growing cloud computing market and the
use of artificial intelligence in high-performance computing are certain
factors boosting the market growth.
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Competitive
Analysis
The Key Players of
Global Accelerator Card Market are NVIDIA
Corporation (Germany), Intel Corporation (US), Advanced Micro Devices Inc.
(US), Xilinx Inc. (US), Achronix Semiconductor Corporation (US), Cisco Systems
Inc (US), FUJITSU LTD (Japan), NVIDIA Corporation. (US), Oracle Corporation
(US), HP Development Company, L.P (US), Huawei Technologies Co. Ltd (China),
IBM Corporation (US), and Kalray Corporation (US), among
others.
- In February 2020, Huawei launched
the Huawei Mate XS foldable device featuring Kirin 990 5G SoC, which
delivers powerful performance and seamless user experience across
smartphone and tablet modes.
- In August 2019, Xilinx launched
the FPGA Virtex UltraScale+ VU19P. It provides the highest logic density
and I/O count on a single device, enabling emulation and prototyping most
advanced ASIC and SoC technologies.
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Segmental Analysis
Global
Accelerator Card Market has been segmented based on Processor Type, Accelerator
Type, Application, and Region.
Based on Accelerator Type, the market has
been classified into a high-performance computing accelerator, cloud
accelerator. The high-performance computing accelerator segment accounted for
the larger market share in 2018, with the highest market value. Accelerator
cards are used in high-performance computing (HPC) to accelerate the work
processes and reduce the workload on the system. HPC uses a cluster of computers
to solve advance computational problems in data warehouses, line-of-business,
and transaction processing applications. Cloud acceleration helps data centers
to support local functions such as accelerating networking/infrastructure
functions, including the encryption of network flows.
Based on Application, the market has been
classified into video and image processing, machine learning, financial
computing, data analytics, mobile phones, others. Although these cards are
integrated with memory and digital-to-analog converters, they do not support
data processing capabilities. Over the years, there has been a significant
increase in video content on the Internet, which has driven the need for
techniques that can sort, classify, identify, and process images. Financial
computing requires efficient algorithms and implementation to accelerate
calculations. However, these solutions consume more computational power and
energy. The need for data processing has increased enormously since more and
more data has been generated from mobile sources such as vehicles and
smartphones. Smartphones are integrated with several components, such as
processors, memory, and graphic accelerator.
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