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Given the major changes and improvements in the hardware acceleration field over the last few years, computers and technology have become very different from what they used to be. Several things have led to these changes and moves. The need for unique hardware solutions that can help many types of businesses run their computers faster and more efficiently is becoming more clear. This is an interesting trend. Tasks that are too hard for regular computers to handle include artificial intelligence (AI), machine learning (ML), and projects with a lot of data.
Artificial intelligence and machine learning have been used in new ways very quickly, which is what has set the trends in the field. To do things like train deep neural networks with the computers we have now, you need a lot of power. More and more computers have graphics processing units (GPUs) and tensor processing units (TPUs), which are types of hardware processors. This is because regular computers haven't been able to meet these needs.
With the rise of self-driving cars and advanced driver assistance systems (ADAS), the auto industry is also going through a big change. The business world is going through this change right now. Because of this change, hardware acceleration systems that can understand data from cameras, sensors, and other sources that come in real-time are needed more than ever. People can make choices faster with these tools, and they also help make cars safer in general.
One more thing that is becoming more widespread is the mixing of workload-optimized boosts. Businesses are now working on making these combined solutions so that they can meet the needs of a wide range of uses. Using these technologies, a lot of processors are put together on a single chip. This method makes the system more efficient because it gives one place to handle many jobs at once. Putting together cores from central processing units (CPUs) and specialty engines like graphics processing units (GPUs) or neural processing units (NPUs) can make a computer system that is more flexible and works better.
Covered Aspects:
| Report Attribute/Metric | Details |
|---|---|
| Market Opportunities | Adoption of GPU by various industries for performing task more speedily and efficiently |
| Market Dynamics | Growing demand of Al-accelerator chip for highly specific roles in the burgeoning cloud-to- edge ecosystem |
Hardware Acceleration Market Highlights:
Global Hardware Acceleration Market Overview:
Hardware Acceleration Market Size was valued at USD 2.87 Billion in 2023. The Hardware Acceleration industry is projected to grow from USD 4.33 Billion in 2024 to USD 78.47 Billion by 2032, exhibiting a compound annual growth rate (CAGR) of 43.60% during the forecast period (2024 - 2032). Major market drivers anticipated to fuel market expansion in the projected period include the rising demand for hardware acceleration for better task execution, video encoding, & decoding, and the expanding use of hardware acceleration tools in deep learning or machine learning applications.
Source: Secondary Research, Primary Research, MRFR Database and Analyst Review
Hardware Acceleration Market Trends
- Adoption of AI Technology at a Large Scale in Hardware Acceleration to Drive Market Growth
The hardware accelerator market is predicted to experience the fastest growth in artificial intelligence. Robot algorithms, the Internet of Things, and other applications that require a lot of data or sensor-driven work are all examples of artificial intelligence applications that can be accelerated using hardware acceleration tools. These applications include machine vision, machine learning, and artificial neural networks. Intending to incorporate FPGAs in server CPUs, which would be able to accelerate both general-purpose tasks and AI, Intel acquired Altera. Accelerators for artificial intelligence were ultimately greatly influenced by this, and they are anticipated to fuel market CAGR over the ensuing years.
These days, graphic cards' hardware acceleration can assist users in any supported applications, including video playback, games, designing, or any applications that call for quicker mathematical operations, like calculating. Consequently, it is anticipated to open up business potential for hardware acceleration. GPU hardware acceleration has gained popularity in AI-related applications. It has continued to advance in areas like deep learning for reasoning and learning on systems like autonomous vehicles, agricultural robots, military robots, and others. Most of the time, GPU hardware acceleration can guarantee fluid streaming and browsing, saving the user's time and energy. In the end, this fosters the expansion of the hardware acceleration sector. Furthermore, compared to the general purpose processing unit, the sound and signal processing units offer superior sound and signal quality due to hardware acceleration. Thus, these elements support the expansion of the hardware acceleration sector. Thus, driving the hardware acceleration market revenue.
Hardware Acceleration Market Segment Insights:
Hardware Acceleration Type Insights
The Hardware Acceleration Market segmentation, based on type includes graphics processing unit, video processing unit, AI accelerator, regular expression accelerator, cryptographic accelerator and others. The graphics processing unit segment dominated the market. The rise is attributed to the widespread use of GPU in several industries. Customers gain from GPU-enabled hardware acceleration in all supported programs, including watching videos, playing games, or performing any activity that involves quick mathematical computations. In the browser, it enables much smoother browsing and media viewing, which helps drive market development. In 2021, GPU hardware acceleration for AI tasks became popular, and it is currently expanding in fields like deep learning for inference and training in gadgets like autonomous cars, industrial robots, and more.
Hardware Acceleration Application Insights
The Hardware Acceleration Market segmentation, based on application, includes deep learning training, public cloud inference, enterprise inference and others. The deep learning training category generated the most income. In the aforementioned forecast period, the market for hardware acceleration is anticipated to grow due to the rising demand for hardware acceleration for video encoding and decoding as well as the widespread use of hardware acceleration tools in deep learning training applications.
Figure 1: Hardware Acceleration Market, by Application, 2022 & 2032 (USD Billion)
Source: Secondary Research, Primary Research, MRFR Database and Analyst Review
Hardware Acceleration End User Insights
The Hardware Acceleration Market segmentation, based on end user, includes IT and Telecommunication, BFSI, Retail, Hospitality, LogisticsAutomotive, Healthcare, Energy and Others. The BFSI category generated the most income. The need for hardware accelerators is expected to be very high in the banking and financial services, information technology, and technology sectors because to the ongoing desire for better performance in this industry. The present investments in the telecom and IT sectors in developing nations like China & India are also projected to increase demand for hardware accelerators in these nations.
Hardware Acceleration Regional Insights
By region, the study provides the market insights into North America, Europe, Asia-Pacific and Rest of the World. The North American hardware acceleration market area will dominate this market. The growth is evidence of the region's firms' greater use of cloud computing technology. The increased use of hardware acceleration in various data centers is another factor promoting the region's growth. Additionally, a select few industry participants, including Xilinx, Intel, NVIDIA, and other well-known organisations, are promoting the general expansion of the hardware acceleration market.
Further, the major countries studied in the market report are The US, Canada, German, France, the UK, Italy, Spain, China, Japan, India, Australia, South Korea, and Brazil.
Figure 2: Hardware Acceleration Market SHARE BY REGION 2022 (USD Billion)
Source: Secondary Research, Primary Research, MRFR Database and Analyst Review
Europe hardware acceleration market accounts for the second-largest market share due to the growing adoption of contemporary technologies including artificial intelligence (AI), machine learning, and IoT-based systems. A few of the main forces behind the growth of the hardware acceleration sector are the increasing need for productivity and performance efficiency. Furthermore, the market for hardware acceleration is growing quickly due to the booming telecommunications and information technology industries. Further, the German hardware acceleration market held the largest market share, and the UK hardware acceleration market was the fastest growing market in the European region
The Asia-Pacific Hardware acceleration Market is expected to grow at the fastest CAGR from 2024 to 2032 due to the expansion of the semiconductor and information technology industries in nations like China, Japan, and India. Some of the major factors driving the growth of the hardware acceleration market are the rising desire for productivity and performance efficiency. Moreover, China’s hardware acceleration market held the largest market share, and the Indian hardware acceleration market was the fastest growing market in the Asia-Pacific region.
Hardware Acceleration Key Market Players & Competitive Insights
Leading market players are investing heavily in research and development in order to expand their product lines, which will help the hardware acceleration market, grow even more. Market participants are also undertaking a variety of strategic activities to expand their global footprint, with important market developments including new product launches, contractual agreements, mergers and acquisitions, higher investments, and collaboration with other organizations. To expand and survive in a more competitive and rising market climate, hardware acceleration industry must offer cost-effective items.
Manufacturing locally to minimize operational costs is one of the key business tactics used by manufacturers in the global hardware acceleration industry to benefit clients and increase the market sector. In recent years, the hardware acceleration industry has offered some of the most significant advantages to market. Major players in the hardware acceleration market attempting to increase market demand by investing in research and development operations include NVIDIA Corporation (US), Intel Corporation (US), Advanced Micro Devices Inc. (US), Achronix Semiconductor (US), Oracle Corporation (US), Xilinx Inc. (US), IBM Corporation (US), Hewlett Packard Enterprise Company Dell (US), Lenovo Group Limited (China), Fujitsu Ltd (Japan), Cisco Systems Inc. (US), VMware Inc. (US), Enyx (France), HAX (US), Revvx (India), AlphaLab Gear (US), HWTrek (Taiwan), Wazer (China) and Teradici (Canada).
NVIDIA Corp. (NVIDIA) is a company that designs and develops system-on-a-chip, central computing, and graphics processing units. The business sells its goods in the gaming, data centre, automotive, and professional visualization markets. Additionally, it provides answers for design and visualization, edge computing, high-performance computing, self-driving cars, data centers, and artificial intelligence and data science.
For the semiconductor industry, Xilinx Inc. (Xilinx), a Advanced Micro Devices Inc. division, creates, develops, and sells programmable devices and technology. It offers targeted reference designs, printed circuit boards, software design tools, and intellectual property (IP) in addition to programmable logic devices (PLDs), programmable System on Chips (SoCs), printed circuit boards, and three-dimensional integrated circuits (3D ICs). The business offers technical assistance, client training, field engineering, and design services. It services various industries, including communications, aerospace and defence, medical, audio and video, broadcasting, industrial, scientific, automotive, consumer, and test and measurement.
Key Companies in the hardware acceleration market include
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NVIDIA Corporation (US)
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Intel Corporation (US)
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Advanced Micro Devices Inc. (US)
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Achronix Semiconductor (US)
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Oracle Corporation (US)
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Xilinx Inc. (US)
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IBM Corporation (US)
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Hewlett Packard Enterprise Company Dell (US)
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Lenovo Group Limited (China)
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Fujitsu Ltd (Japan)
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Cisco Systems Inc. (US)
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VMware Inc. (US)
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Enyx (France)
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HAX (US
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Revvx (India)
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AlphaLab Gear (US)
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HWTrek (Taiwan)
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Wazer (China)
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Teradici (Canada)
Hardware Acceleration Industry Developments
October 2018: NVIDIA has created an open-source GPU acceleration platform for major businesses and organisations to analyze enormous amounts of data and make data-driven choices and business predictions at unprecedented speeds. This platform is specifically built for data science and machine learning. This GPU acceleration is thought to be able to accurately detect credit card fraud, analyze client purchase patterns, and more.
Hardware Acceleration Market Segmentation:
Hardware Acceleration Type Outlook
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Graphics Processing Unit
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Video Processing Unit
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AI Accelerator
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Regular Expression Accelerator
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Cryptographic Accelerator
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Others
Hardware Acceleration Application Outlook
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Deep Learning Training
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Public Cloud Inference
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Enterprise Inference
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Others
Hardware Acceleration End User Outlook
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IT and Telecommunication
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BFSI
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Retail
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Hospitality
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Logistics
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Automotive
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Healthcare
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Energy
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Others
Hardware Acceleration Regional Outlook
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North America
- US
- Canada
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Europe
- Germany
- France
- UK
- Italy
- Spain
- Rest of Europe
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Asia-Pacific
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China
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Japan
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India
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Australia
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South Korea
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Australia
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Rest of Asia-Pacific
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Rest of the World
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Middle East
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Africa
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Latin America
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