Hardware acceleration is a process in which a task-specific hardware is installed in the computer to perform functions faster than the standard computing architecture of a normal central processing unit (CPU). In hardware acceleration, graphics or video processing chips are used to perform heavy computing tasks and operations. Sound cards enable higher-quality playback and recording of sound. Also, graphics cards can be utilized by hardware acceleration to allow quicker, higher-quality playback of movies, videos, and games. Graphic cards can also be used for better physics calculations and fast mathematical calculations. For instance, in Chrome, GPU hardware acceleration typically allows seamless browsing and media streaming.

Market Analysis and Insights: Global Hardware Acceleration Market
The global Hardware Acceleration market size is projected to reach US$ XX million by 2027, from US$ XX million in 2020, at a CAGR of XX% during 2021-2027.
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On the whole, the report proves to be an effective tool that players can use to gain a competitive edge over their competitors and ensure lasting success in the global Hardware Acceleration market. All of the findings, data, and information provided in the report are validated and revalidated with the help of trustworthy sources. The analysts who have authored the report took a unique and industry-best research and analysis approach for an in-depth study of the global Hardware Acceleration market.

Global Hardware Acceleration Scope and Market Size
Hardware Acceleration market is segmented by company, region (country), by Type, and by Application. Players, stakeholders, and other participants in the global Hardware Acceleration market will be able to gain the upper hand as they use the report as a powerful resource. The segmental analysis focuses on revenue and forecast by Type and by Application in terms of revenue and forecast for the period 2016-2027.

Segment by Type
Graphics Processing Unit
Video Processing Unit
AI Accelerator
Regular Expression Accelerator
Cryptographic Accelerator
Others

Segment by Application
Deep Learning Training
Public Cloud Inference
Enterprise Cloud Inference
Others

By Region
North America
United States
Canada
Europe
Germany
France
U.K.
Italy
Russia
Nordic
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA

By Company
NVIDIA Corporation
Intel Corporation
Advanced Micro Devices
Achronix Semiconductor
Oracle Corporation
Xilinx
IBM Corporation
Hewlett Packard Enterprise
Dell
Lenovo Group
Fujitsu
Cisco Systems
VMware
Enyx
HAX
Revvx
AlphaLab Gear
HWTrek
Teradici