Accelerator Card Market Research Report: Accelerator Type (High-Performance Computing Accelerator, Cloud Accelerator), By Processor Type (Central Processing Units (CPU), Graphics Processing Units (GPU), Field Programmable Gate Arrays (FPGA), Application-Specific Integrated Circuit (ASIC)), 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 2027

ID: VPR/SEM/1121 Publishing Year: January 2022 Pages: 118 Format:   


Accelerator Card Market Overview:

Cloud servers, high-performance computing, and data centres all use Accelerator Cards to speed up diverse workloads. The Accelerator Cards are programmable and may be put into a PCIe slot, allowing the user to direct the card to do various functions. When compared to general-purpose microprocessors, Accelerator Cards are more efficient. GPUs and CPUs are two of the most widely utilised accelerator cards in high-performance computing and data centres. FPGAs and ASICs are also being used in data centres to speed up machine learning applications.

Key Players:

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.

Market Drivers:

Accelerator Cards are frequently used to handle workloads in cloud servers, data centres, and high-performance computing (HPC) devices. The usage of Accelerator Cards in cloud services improves cloud computing performance. The rise in demand for AI-centric data centres is due to the expansion in consumer-generated data and the increased use of AI-based services. By analysing customer behaviour data from CRM systems and product reviews, AI can give customised services. Because accelerator cards are widely utilised for building and administering AI services, this is projected to be a driving force for the Accelerator Card Market Expansion.

Cloud computing has grown dramatically as a result of the explosion in data. As a result, the Accelerator Card has been used to calculate and manage data with extreme precision and accuracy. The market for accelerator cards is growing as a result of this.

The usage of AI in these cards, since AI is a complicated system, and for designing, maintaining, and applying AI specialised skill set, is a factor that influences the growth of the Accelerator Card Market Share. Developers working with AI systems, for example, should be familiar with cognitive computing, machine learning, machine intelligence, deep learning, and image recognition technologies. In addition, integrating AI with current systems is a challenging and costly undertaking. Even tiny faults can cause system failure or malfunction, which will have a significant impact on the final result and desired outcome, and is likely to limit the size of the Accelerator Card Market.

Market Segmentation:

The Accelerator Card Industry is divided into three categories: processor, accelerator, and application. The growth of segments allows you to analyse specific pockets of growth and market approaches, as well as establish your main application areas and target market differences.

The Accelerator Card Industry is divided into four categories based on processor type: central processing units, graphic processing units, field programmable gate arrays, and application-specific integrated circuits.

The Accelerator Card Industry is divided into two types of accelerators: high-performance computing accelerators and cloud accelerators.

The Accelerator Card Market is divided into video and image processing, machine learning, financial computing, data analytics, mobile phones, and others based on application.

Regional Analysis:

The paper gives a comprehensive overview of the industry, using both qualitative and quantitative data. It gives a broad overview of the global market and forecasts for major segments. It also includes market size and forecast projections for five key regions: North America, Europe, Asia-Pacific (APAC), the Middle East & Africa (MEA), and South America, for the years 2019 to 2028. The accelerator card market is further sub-segmented by nations and segments within each region. The research examines and forecasts 18 countries throughout the world, as well as the present trend and prospects that exist in the region.

The research examines market aspects from both the demand and supply sides, as well as market characteristics that will affect the market over the forecast period, such as drivers, constraints, opportunities, and future trends. After examining political, economic, social, and technological aspects affecting the Accelerator Card Market in various regions, the research presents a comprehensive PEST analysis for all five regions: North America, Europe, APAC, MEA, and South America.

Covid-19 Impact:

Accelerator cards are frequently used to Accelerate various workloads in data centres, cloud servers, and high-performance computing. They assist businesses in more quickly and efficiently running high-performance data and compute-intensive applications. Accelerator cards' use in cloud services is predicted to fuel the expansion of the cloud computing market, which will in turn fuel the Growth of the Accelerator Card Market. The epidemic of COVID-19 has resulted in widespread lockdowns and commercial closures. The cloud computing sector, on the other hand, is growing as a result of the new Coronavirus. The increased number of COVID-19 cases has resulted in a significant shift in corporate operations. Employees all around the world have been obliged to work from home, which has had a significant impact on the cloud computing sector. Furthermore, during the COVID-19 pandemic, the demand for cloud computing solutions in the healthcare sector is growing in order to improve patient data analysis. To handle a wide range of cases, healthcare practitioners are increasingly turning to cloud storage solutions.

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