Global Accelerator Card Market Research Report: By Processor Type (Central Processing Units (CPU), Graphics Processing Units (GPU), Field Programmable Gate Arrays (FPGA), Application-Specific Integrated Circuit (ASIC)), Accelerator Type (High-Performance Computing Accelerator, Cloud Accelerator), Application (Video and Image Processing, Machine Learning, Financial Computing, Data Analytics, Mobile Phones, Others) and Region (North America, Europe, Asia-Pacific, Rest of the World) - Forecast till 2027

Market Snapshot

Global Accelerator Card Market is expected to grow at 40.47% CAGR, witnessing substantial growth during the forecast period. The market was valued at USD 3,359.3 Million in 2018; it is expected to reach USD 28,995.7 Million by 2025.

An accelerator card is an extension card that is used in high-performance computing, cloud servers, and data centers to accelerate various workloads. These cards can be plugged in via a PCIe slot and are programmable, allowing the user to instruct the card to perform various tasks. These cards are more efficient as compared to general-purpose microprocessors. Some of the widely used accelerator cards in high-performance computing, and data centers are CPUs and GPUs. FPGAs and ASICs are also being used to accelerate machine learning applications in data centers.

North America accounted for the largest market value of USD 1,248.2 million in 2018; the market is expected to register a CAGR of 38.35% during the forecast period.  

Global Accelerator Card Market, By Processor Type (2018 Vs. 2025)

Source: MRFR Analysis

Based on the product, the market has been classified as central processing units (CPU), graphics processing units (GPU), field-programmable gate arrays (FPGA), application-specific integrated circuit (ASIC). The GPU segment accounted for the larger market share in 2018, with a market value of USD 1,292.1 million during the forecast period. The CPU segment is the second-largest segment during the forecast period. A CPU accelerator card is an expansion card designed for accelerating various workloads. It consists of several cores and has a serial architecture for sequential logic processing, which makes it better at logic control, general-purpose data operations, and serial operations. A GPU is a specialized electronic circuit designed for graphic-intensive applications. FPGA accelerator cards are programmable logic devices or semiconductor integrated circuits (ICs), which can be reprogrammed after manufacturing according to the desired applications or functionalities. ASIC is an integrated circuit built for specific applications.

Growth of the cloud computing market and growing demand for ai and HPC technologies in data centers are factors expected to drive the accelerator card market during the forecast period. However, the high cost of manufacturing and lack of technical expertise for design technology and integration with emerging technologies are expected to restrain the market growth during the forecast period. Further, integration with emerging technologies is expected to act as an opportunity for the global accelerator card market during the forecast period.

Regional Analysis

The Global Accelerator Card Market, by region, has been segmented into Asia-Pacific, North America, Europe, Rest of the World. North America is expected to dominate the accelerator card market during the forecast period owing to the presence of various key players such as Intel Corporation, Xilinx, Inc, NVIDIA Corporation, and others.  

Companies Covered

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.

Key Developments  

• In February 2020, AMD launched the AMD Radeon Pro W5500 workstation graphics card, designed and optimized to power next-generation, high-performance professional mobile workstations.

• In December 2019, Intel launched the second-generation Xeon processor for data centers to provide better per-dollar performance in data center computing processes than the last generation Xeon processors.

• In November 2019, NVIDIA launched Tesla GPU-accelerator cards, the V100S in PCI Express 3 form factor, and is expected to support NVIDIA’s SXM2 interface. It provides 16.4 single-precision TFLOPS, 8.2 double-precision TFLOPS, and Tensor Core performance of up to 130 TFLOPS.

• In November 2019, Intel introduced the Stratix 10 GX 10M FPGA. It has 10.2 million logic elements and uses EMIB. It includes 4.5Tb/s of transceiver bandwidth and 2072 user I/O pins.

Segmentation

• By Processor Type: central processing units (CPU), graphics processing units (GPU), field-programmable gate arrays (FPGA), application-specific integrated circuit (ASIC)


• By Accelerator Type: high-performance computing accelerator, cloud accelerator


• By Application: video and image processing, machine learning, financial computing, data analytics, mobile phones, others


• By Region: North America, Asia-Pacific, Europe, and the Middle East and Africa and South America.

Key Questions Addressed by the Report

• What was the historic market size (2017)?


• Which segmentation (Processor Type/Accelerator Type/Application) is driving the market?


• What will be the growth rate by 2025?


• Who are the key players in this market?


• What are the strategies adopted by key players?

Frequently Asked Questions (FAQ) :

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