Global Data Center Accelerator
Market Report
2025
Delivery Includes:- Market Timeline 2021 till 2033, Market Size, Revenue/Volume Share, Forecast and CAGR, Competitor Analysis, Regional Analysis, Country Analysis, Segment Analysis, Market Trends, Drivers, Opportunities, Restraints, ESG Analysis, Porters Analysis, PESTEL Analysis, Market Attractiveness, Patent Analysis, Technological Trend, SWOT Analysis, COVID-19 Analysis, Consumer Behavior Analysis, etc.
The base year for the calculation is 2024. The historical will be 2021 to 2024. The year 2025 will be estimated one while the forecasted data will be from year 2025 to 2033. When we deliver the report that time we updated report data till the purchase date.
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According to Cognitive Market Research, the global data center accelerator market was XX million. Data Center Accelerator Industry's compound annual growth rate (CAGR) will be XX% from 2024 to 2031.
2021 | 2025 | 2033 | CAGR | |
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Global Data Center Accelerator Market Sales Revenue | 121212 | 121212 | 121212 | 32.33% |
Base Year | 2024 |
Historical Data Time Period | 2021-2024 |
Forecast Period | 2025-2033 |
Market Split by Processor Type |
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Market Split by Application |
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Market Split by Data Center Type |
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List of Competitors |
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Regional Analysis |
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Country Analysis |
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Data Center Accelerator Market is Segmented as below. Particular segment of your interest can be provided without any additional cost. Download the Sample Pages!
A data center accelerator is a piece of hardware or software designed to analyze visual data and improve computer speed. By maximizing the use of artificial intelligence (AI)-based services and raising the need for consumer-focused data to power AI-driven data centers, data center accelerators contribute to better data center performance. High-performance computing (HPC), network acceleration, databases & data analytics, computational storage, video & imaging, and financial technology can all benefit from adaptive acceleration in the modern data center. Numerous HPC workloads, including those related to genetics, astrophysics, big data analysis, machine learning, modular dynamics, cyber security, oil and gas, and weather and climate, are handled via data center acceleration.
The deployment and programming of several FPGAs provide some difficulties. The first challenge in programming an FPGA cluster is figuring out how to connect the kernels on several FPGAs and how to abstract and use the communication channels among the FPGAs. Determining how to distribute, coordinate, and manage a multi-FPGA application once it has been built is the second challenge in setting up an FPGA cluster. New business models that convert vast volumes of data into insights and revenue through the use of artificial intelligence, platforms, and algorithms. Over the next ten years, digitally enabled platform business models are expected to generate 70% of new economic value, according to the World Economic Forum.
The emergence of local data centers, rising board pressure to provide more secure and reliable IT environments, and a greater understanding among corporations of the advantages that cloud services may offer were all factors in the market expansion. The increasing reliance of businesses on digital infrastructure has led to a growing need for data center network services from a variety of industries. Data centers guarantee program availability and data security as more companies and educational institutions shift to an online presence. The top industries using HPC include healthcare, aerospace, manufacturing, finance, and urban planning.
Deep learning-based accelerators are becoming increasingly popular in high-performance computing (HPC) data centers controlled by corporations such as HP and Dell EMC, despite the chipmakers' tremendous efforts to manufacture accelerators. This is mostly because there is a greater need for AI-focused data centers as a result of growing customer data collecting and the uptake of AI-based services. By analyzing consumer behavior data from social media comments, CRM systems, and product reviews, AI may be able to offer customized services. HPC technologies, which incorporate AI and machine learning, have significantly changed a number of industries, including financial services, manufacturing, healthcare, oil and gas, research, and educational institutions. These programs are capable of doing complex computations and processing data at up to quadrillions of times per second.
MemryX Inc., a trailblazing startup concentrating on expediting artificial intelligence (AI) processing for edge devices, declared in March 2023 that it has partnered with Cachengo, a top supplier of AI hardware and software, to be the sole supplier of AI processors for their modular compute and storage servers.
CloudScene data of 110 countries with information available indicates that there were around 8,000 data centers worldwide as of January 2021. Six of these nations are home to the bulk of data centers: the United States (33% of total), the United Kingdom (5.7%), Germany (5.5%), China (5.2%), Canada (3.3%), and the Netherlands (3.4%) (see figure 1 below). Approximately 64% of them are in NATO member nations, while 77% are found in OECD member states. There are more than 2,600 data centers located all around the United States.
In October 2022, Accenture and Google Cloud revealed plans to broaden their global partnership. These plans included a reaffirmed dedication to developing new data and artificial intelligence (AI) solutions, growing their respective talent pools, and offering improved support to clients looking to reinvent their businesses on the cloud and build a strong digital foundation.
June 2022: To become a leading digital healthcare provider, Sanofi has created its first digital accelerator. The accelerator would produce goods and services to support Sanofi's goal of using digital, data, and artificial intelligence (AI) to change medicine.
Field Programmable Gate Arrays, or FPGAs, are prefabricated silicon devices that may be electrically programmed to become almost any digital system after they are manufactured. They can be constructed and then reprogrammed to meet the requirements of certain applications. They are a group of programmable interconnect-connected reconfigurable logic blocks (CLBs). Furthermore, because FPGA chips combine the greatest features of application-specific integrated circuits (ASICs) and processor-based systems, they are widely used in a wide range of industries. For low-to-medium volume productions, ASIC often takes a significant amount of time and financial resources to build the initial device. On the other hand, FPGAs provide faster time to market and more affordable options.
Intel announced the official launch of Altera, its new standalone field-programmable gate array (FPGA)company. Altera is positioned to capitalize on a total addressable market opportunity of over $55 billion across the cloud, network, edge computing, and other segments.
Since most businesses invest in on-premise technology, adopting cloud computing requires a hybrid architecture. To accomplish their business objectives, companies choose a cloud provider to deploy hybrid cloud architecture without having to make additional expenditures in on-premise infrastructure and software.
To facilitate the integration of cloud services, Amazon Web Services (US) has teamed with on-premise platform suppliers like Intel (US), Microsoft (US), and VMware (US) to provide hybrid capabilities across storage, networking, security, and management tools. Businesses can use Amazon Web Services to run their current applications at optimal performance thanks to these hybrid features. Installing corporate solutions in data centers is how major IT companies are looking for growth potential in enterprise inference applications.
In October 2022, Accenture and Google Cloud revealed plans to broaden their global partnership. These plans included a reaffirmed dedication to developing new data and artificial intelligence (AI) solutions, growing their respective talent pools, and offering improved support to clients looking to reinvent their businesses on the cloud and build a strong digital foundation. June 2022: To become a leading digital healthcare provider, Sanofi has created its first digital accelerator. The accelerator would produce goods and services to support Sanofi's goal of using digital, data, and artificial intelligence (AI) to change medicine.
Data Centers need infrastructure that is quite specialized. The term "data center infrastructure" refers to the essential hardware-based or physical resources and elements, such as all of the IT infrastructure's tools, apparatus, and technologies that make up a data center.
Despite being among the most advanced infrastructures, data centers have a number of problems, such as low equipment utilization rates and inefficiencies. Among the main issues is security. Every part of the platform, service, network, infrastructure, and application of a data center is vulnerable to security risks from both internal and external sources. Additionally, there is a risk of data theft, manipulation, loss, misuse, etc. Finding a competent data center operations manager becomes a challenging issue for enterprises, in addition to the technical hurdles of managing and sustaining a data center. It is crucial to have an effective human IT workforce to handle hardware and software administration tasks.
It is represented and delineated in a design plan that encompasses an exhaustive inventory of the infrastructure elements required to establish a data center. It needs data center management software and applications, networking hardware like switches and routers, security hardware like firewalls and biometric security systems, storage hardware like storage area networks (SANs) and backup tape storage, and networking software. This need for specialized infrastructure can occasionally act as a barrier to this market's expansion.
The number of businesses providing Machine Learning-as-a-Service (MLaaS) is rising.
In the last ten years, machine learning has become a major game-changer for a variety of companies and institutions. It follows that the emergence of multiple customized cloud-based solutions to facilitate data scientists' work in various ways is not surprising.
The global machine learning market is expected to increase at a compound annual growth rate of 43%, from $7.3 billion in 2020 to $30.6 billion in 2024, according to Forbes. Data scientists and ML engineers are entrusted with creating additional models to stay up with the ever-changing business needs of shareholders and customers to fuel this growth.
The strong demand for Al is driving up the number of businesses that provide machine learning for cloud services. Therefore, as cloud-based technology becomes more widely used, there will be a greater need for deep learning, which is expected to lead to growth prospects for the companies involved in the data center accelerator market throughout the course of the forecast. Potential benefits of using machine learning-powered systems include predictive and preventive maintenance. To detect and anticipate data outages, machine learning can also be used to monitor disk utilization, server performance, and network congestion. Therefore, the revolution in machine learning has the potential to improve the infrastructure of data centers and enable more intelligent and automated data management.
Due to its focus on a digital transformation, the COVID-19 pandemic had a favourable effect on the data center accelerator market. The widespread lockdown caused many schools and other institutions to hastily switch to running and delivering courses online. The cloud technologies are being used by the education industry with great responsiveness to manage entrance tests, assessments, and tuition. The World Economic Forum (WEF) estimates that 730,000 K–12 students in Wuhan province participated in virtual learning after the government ordered educational institutions to offer virtual learning in February 2020.
Alibaba Cloud, one of the leading cloud computing companies in China, is spending billions to construct next-generation data centers to meet the demands of the "post-pandemic world" in terms of digital transformation. Alibaba Cloud declared in April of last year that over the following three years, it would invest RMB 200 billion (USD 28.99 billion) in core technologies and forward-thinking data centers.
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In 2025, global trade has entered a period of renewed volatility as the U.S., under President Donald Trump, introduced sweeping tariffs known as the Liberation Day Tariffs. Aimed at addressing trade imbalances and foreign supply chain dominance, the tariffs range from 10% on allies like Australia and the UK to 46% on Vietnamese goods and 34% on Chinese imports. A 25% universal tariff on steel, aluminum, and auto parts has further strained global trade ties. The electronics sector is among the hardest hit, particularly due to the escalating U.S.China trade war. Tariffs on Chinese goods now reach up to 145% in sectors like semiconductors and consumer electronics, while China has retaliated with up to 125% duties and restrictions on critical mineral exports. This has disrupted just-in-time supply chains and increased component costs.
Specific tariffs include 25% on semiconductors, 20% on lithium-ion batteries, and 10–15% on consumer electronics like laptops and tablets, leading to higher retail prices and reduced consumer demand. Sub-sectors such as home automation, computer hardware, communication electronics, medical devices, and industrial electronics are all under pressure due to rising input costs and supply chain delays. Companies are revisiting suppliers, shifting sourcing to countries like India, Mexico, and Vietnam, and redesigning products to avoid high-tariff components.
China remains a key player, contributing USD 119 billion in electronics exports to the U.S. in 2023. Even components routed through countries like Malaysia and Vietnam often rely on Chinese subparts, making the ripple effect of tariffs widespread. U.S. electronics firms operating on thin margins are seeing input costs rise 18–25%, with contract manufacturers in alternative regions facing capacity constraints.
Market research is now critical. It helps companies identify new suppliers, analyze cost trends, optimize product design, forecast demand shifts, and track regulatory changes. Tools like supplier mapping, BOM optimization, and scenario planning support strategic responses to ongoing disruptions. Leading firms like Apple and Dell are expanding production outside China, while others invest in digital supply chain tools and redesign products for cost resilience. In this evolving trade environment, firms that leverage research-driven strategies are better positioned to adapt and thrive.
The competitive landscape of the data center accelerator market is fragmented, having numerous local and global data center accelerator companies. Details by competitor are provided by the competitive landscape of the data center accelerator market. The company's overview, financials, revenue, market potential, R&D investment, new market initiatives, global presence, production sites and facilities, production capacities, company strengths and weaknesses, product launch, product width and breadth, and application dominance are all included in the details. Only the companies' focus on the data center accelerator industry is shown by the data points above -NVIDIA Corporation, AVOXI, ABC.xyz, Clarifai Inc., Intel Corporation, Lattice Semiconductor, Microsemi, Oracle, Xilinx, Algolux, IBM, Ultra Leap, Hewlett Packard Enterprise Development LP, Mad Street Den Inc., Dell Inc., Lenovo, Lattice Semiconductor, Ditto Labs, Fujitsu, and Cisco are a few of the prominent companies listed in the data center accelerator market report.
Top Companies Market Share in Data Center Accelerator Industry: (In no particular order of Rank)
If any Company(ies) of your interest has/have not been disclosed in the above list then please let us know the same so that we will check the data availability in our database and provide you the confirmation or include it in the final deliverables.
In 2023, North America held a XX% market share, dominating the industry. The main drivers of the growth of the regional market are the existence of sophisticated technology and data center infrastructure, as well as the presence of well-known industry players like Advanced Micro Devices, Inc., NVIDIA Corporation, Intel Corporation, Qualcomm Technologies, Inc., etc.
Over the course of the projection period, Asia-Pacific is anticipated to grow at the highest CAGR of XX%. The increasing use of cloud-based services like big data analytics and the Internet of Things is responsible for the market expansion in the region. Furthermore, the Asia Pacific data center accelerator market is expanding due to favorable government regulations and the region's requirement for data center infrastructure upgrades
The current report Scope analyzes Data Center Accelerator Market on 5 major region Split (In case you wish to acquire a specific region edition (more granular data) or any country Edition data then please write us on info@cognitivemarketresearch.com
The above graph is for illustrative purposes only.
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Global Data Center Accelerator Market Report 2025 Edition talks about crucial market insights with the help of segments and sub-segments analysis. In this section, we reveal an in-depth analysis of the key factors influencing Data Center Accelerator Industry growth. Data Center Accelerator market has been segmented with the help of its Processor Type, Application Data Center Type, and others. Data Center Accelerator market analysis helps to understand key industry segments, and their global, regional, and country-level insights. Furthermore, this analysis also provides information pertaining to segments that are going to be most lucrative in the near future and their expected growth rate and future market opportunities. The report also provides detailed insights into factors responsible for the positive or negative growth of each industry segment.
On the basis of processor,
The market is divided into- GPU, CPU, FPGA, ASIC. Out of which GPU held the maximum revenue share of XX% in 2022 and is expected to grow at a CAGR of XX% over the forecast period.
The devices’ graphics processing unit (GPU) aids in handling tasks including graphics, effects, and movies. Discover the many GPU kinds and select the one that best suits the requirements. Because integrated GPUs are integrated into the motherboard of PC, laptops may be made thin, light, and power-efficient. The rising use of GPU in supercomputing, drug research, AI training and inference, medical imaging, and financial modelling is responsible for the segment's rise. Furthermore, many of the computations needed by AI and machine learning in enterprise data centers and hyper-scale networks are better suited for GPUs.
Nvidia's data center GPU sales grow by a stunning 409% on huge demand for AI chips. Since OpenAI introduced ChatGPT in November 2022, major tech companies like Microsoft Corp. and Alphabet Inc., along with generative AI startups like Anthropic PMC and Cohere Inc., have placed a tremendous amount of demand on Nvidia's GPUs as they compete to introduce ever-more-powerful large language models that are capable of handling a greater number of tasks. Models of generative AI demand enormous computational resources.
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Market segmentation based on Application explains not only the historical market size/share data of Deep Learning Training, HPC and Others but also the forecasted revenue growth. This will also help to analyze the demand for Data Center Accelerator across different end-use industries. Our research team will also help acquire additional data such as Value Chain, Patent analysis, Company Evaluation Quadrant (Matrix), and much more confidential analysis and data insights.
Some of the key Application of Data Center Accelerator are:
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Based on type, the market is divided into – HPC Data Center, and Cloud Data Center. Over the projection period, Cloud Data Center is expected to have growth in its market share.
Due to the increase in the amount of data that users are transferring to the cloud, the cloud computing market has grown significantly, which is expected to fuel demand for GPU data centers. Cloud data centers handle a wide range of functions, including deep learning, graphics rendering, data analytics, and scientific simulations. They can easily adjust to changing demands because of their high scalability architecture. The increasing development of data accelerator technologies, such as the development of dedicated Al chips and more effective GPU data centers, makes it increasingly desirable for cloud providers to integrate these accelerators into their data centers to stay up to date with emerging technologies.
Alibaba Cloud, one of the leading cloud computing companies in China, is spending billions to construct next-generation data centers to meet the demands of the "post-pandemic world" in terms of digital transformation. Alibaba Cloud declared in April of last year that over the following three years, it would invest RMB 200 billion (USD 28.99 billion) in core technologies and forward-thinking data centers.
Senior Research Analyst at Cognitive Market Research
ResearchGate Profile: https://www.researchgate.net/profile/Kalyani-Raje
An optimistic Senior Research Analyst with years of experience in competitive assessment and business consulting. A seasoned professional and subject-matter expert (SME) in the Automobile and transportation vertical.
With a work experience of over 10+ years in the market research and strategy development. I have worked with diverse industries, including FMCG, IT, Telecom, Automotive, Electronics and many others. I also work closely with other departments such as sales, product development, and marketing to understand customer needs and preferences, and develop strategies to meet those needs.
I am committed to staying ahead in the rapidly evolving field of research and analysis. This involves regularly attending conferences, participating in webinars, and pursuing additional certifications to enhance my skill set. I played a crucial role in conducting market research and competitive analysis. I have a proven track record of distilling complex datasets into clear, concise reports that have guided key business initiatives. Collaborating closely with multidisciplinary teams, I contributed to the development of innovative solutions grounded in thorough research and analysis.
The future for the Data Center Accelerator looks bright. The emergence of local data centers, rising board pressure to provide more secure and reliable IT environments, and a greater understanding among corporations of the advantages that cloud services may offer were all factors in the market expansion. The increasing reliance of businesses on digital infrastructure has led to a growing need for data center network services from a variety of industries. Data centers guarantee program availability and data security as more companies and educational institutions shift to an online presence, thus to manage all the data centers efficiently there will be an ever growing need for data center accelerators in the near future.
Please note, we have not disclose, all the sources consulted/referred during a market study due to confidentiality and paid service concern. However, rest assured that upon purchasing the service or paid report version, we will release the comprehensive list of sources along with the complete report and we also provide the data support where you can intract with the team of analysts who worked on the report.
1.AMD's MI300 AI GPU sales drive 80 percent growth in data center segment
Disclaimer:
Processor Type | GPU, CPU, FPGA, ASIC |
Application | Deep Learning Training, HPC and Others |
Data Center Type | HPC Data Center, Cloud Data Center. |
List of Competitors | Nvidia, Intel, Alphabet Google, Advanced Micro Devices, Achronix Semiconductor, Xilinx, Qualcomm, . |
This chapter will help you gain GLOBAL Market Analysis of Data Center Accelerator. Further deep in this chapter, you will be able to review Global Data Center Accelerator Market Split by various segments and Geographical Split.
Chapter 1 Global Market Analysis
Global Market has been segmented on the basis 5 major regions such as North America, Europe, Asia-Pacific, Middle East & Africa, and Latin America.
You can purchase only the Executive Summary of Global Market (2019 vs 2024 vs 2031)
Global Market Dynamics, Trends, Drivers, Restraints, Opportunities, Only Pointers will be deliverable
This chapter will help you gain North America Market Analysis of Data Center Accelerator. Further deep in this chapter, you will be able to review North America Data Center Accelerator Market Split by various segments and Country Split.
Chapter 2 North America Market Analysis
This chapter will help you gain Europe Market Analysis of Data Center Accelerator. Further deep in this chapter, you will be able to review Europe Data Center Accelerator Market Split by various segments and Country Split.
Chapter 3 Europe Market Analysis
This chapter will help you gain Asia Pacific Market Analysis of Data Center Accelerator. Further deep in this chapter, you will be able to review Asia Pacific Data Center Accelerator Market Split by various segments and Country Split.
Chapter 4 Asia Pacific Market Analysis
This chapter will help you gain South America Market Analysis of Data Center Accelerator. Further deep in this chapter, you will be able to review South America Data Center Accelerator Market Split by various segments and Country Split.
Chapter 5 South America Market Analysis
This chapter will help you gain Middle East Market Analysis of Data Center Accelerator. Further deep in this chapter, you will be able to review Middle East Data Center Accelerator Market Split by various segments and Country Split.
Chapter 6 Middle East Market Analysis
This chapter will help you gain Middle East Market Analysis of Data Center Accelerator. Further deep in this chapter, you will be able to review Middle East Data Center Accelerator Market Split by various segments and Country Split.
Chapter 7 Africa Market Analysis
This chapter provides an in-depth analysis of the market share among key competitors of Data Center Accelerator. The analysis highlights each competitor's position in the market, growth trends, and financial performance, offering insights into competitive dynamics, and emerging players.
Chapter 8 Competitor Analysis (Subject to Data Availability (Private Players))
(Subject to Data Availability (Private Players))
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
This chapter would comprehensively cover market drivers, trends, restraints, opportunities, and various in-depth analyses like industrial chain, PESTEL, Porter’s Five Forces, and ESG, among others. It would also include product life cycle, technological advancements, and patent insights.
Chapter 9 Qualitative Analysis (Subject to Data Availability)
Segmentation Processor Type Analysis 2019 -2031, will provide market size split by Processor Type. This Information is provided at Global Level, Regional Level and Top Countries Level The report with the segmentation perspective mentioned under this chapters will be delivered to you On Demand. So please let us know if you would like to receive this additional data as well. No additional cost will be applicable for the same.
Chapter 10 Market Split by Processor Type Analysis 2021 - 2033
The report with the segmentation perspective mentioned under this chapters will be delivered to you On Demand. So please let us know if you would like to receive this additional data as well. No additional cost will be applicable for the same.
Chapter 11 Market Split by Application Analysis 2021 - 2033
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Chapter 12 Market Split by Data Center Type Analysis 2021 - 2033
This chapter helps you understand the Key Takeaways and Analyst Point of View of the global Data Center Accelerator market
Chapter 13 Research Findings
Here the analyst will summarize the content of entire report and will share his view point on the current industry scenario and how the market is expected to perform in the near future. The points shared by the analyst are based on his/her detailed in-depth understanding of the market during the course of this report study. You will be provided exclusive rights to interact with the concerned analyst for unlimited time pre purchase as well as post purchase of the report.
Chapter 14 Research Methodology and Sources
Why GPU have a significant impact on Data Center Accelerator market? |
What are the key factors affecting the GPU and CPU of Data Center Accelerator Market? |
What is the CAGR/Growth Rate of Deep Learning Training during the forecast period? |
By type, which segment accounted for largest share of the global Data Center Accelerator Market? |
Which region is expected to dominate the global Data Center Accelerator Market within the forecast period? |
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