Data Center Accelerator Market worth $101.04 billion by 2030 – Exclusive Report by 360iResearch
The Global Data Center Accelerator Market to grow from USD 27.07 billion in 2022 to USD 101.04 billion by 2030, at a CAGR of 17.89%.
PUNE, MAHARASHTRA, INDIA , December 5, 2023 /EINPresswire.com/ — The “Data Center Accelerator Market by Processor Type (Application-Specific Integrated Circuit, Central Processing Unit, Field-Programmable Gate Array), Data Center Type (Cloud Data Centers, Colocation Data Centers, Enterprise Data Centers), Application – Global Forecast 2023-2030″ report has been added to 360iResearch.com’s offering.
The Global Data Center Accelerator Market to grow from USD 27.07 billion in 2022 to USD 101.04 billion by 2030, at a CAGR of 17.89%.
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Data center accelerators are a category of hardware devices or software mechanisms designed to improve the performance and efficiency of a data center’s computational processes. Integrating accelerators into a data center infrastructure allows organizations to enhance overall performance, reduce processing time for specific tasks, and lower the energy consumption per workload, leading to operational and cost savings. As businesses continue to rely on data centers for critical operations, the demand for these accelerators is expected to grow. One of the primary drivers is the escalating demand for artificial intelligence (AI) and machine learning (ML) across various industries. These technologies require substantial computing power, which accelerators provide. Additionally, the increasing volume of complex data sets necessitates the use of accelerators to facilitate rapid analysis and insights derivation. However, technical limitations of using data center accelerators and issues related to data privacy and loss of data security raise concerns regarding the safety, accuracy, and reliability of data center accelerators. Major players are exploring integrating novel technological innovations to tackle challenges related to data privacy and ensure compliance with data protection regulations. Furthermore, investments in establishing edge and hyper-scale data centers worldwide provide new avenues of growth for the data center accelerators.
Application: Rising need for data center accelerators for enterprise interface to manage and analyze large volumes of data
Deep learning is a subset of machine learning that involves neural networks with multiple layers that simulate the function of the human brain. The sophisticated algorithms, which require significant computational power, are used to train models capable of recognizing complex patterns and making data-driven decisions. Datacenter accelerators reduce training time and improve the efficiency of resource-intensive tasks. The enterprise interface refers to the integration of data center accelerators within a corporate environment to support diverse applications, including data analytics and machine learning. In this setting, the accelerator’s role is to provide the computational power required to rapidly process large volumes of data. Data center accelerators have become a crucial element for public cloud services, driving the performance of virtualized environments where multiple clients access shared physical resources. The public cloud interface leverages accelerators to deliver scalable and cost-efficient computing power to a broader range of users. These accelerators are integrated into the cloud providers’ infrastructure, furnishing clients with the capabilities needed for complex computations, such as real-time data processing and large-scale simulations.
Processor Type: Advancements and investments to improve the capacities of central processing unit (CPU)
An application-specific integrated circuit (ASIC) is a customized integrated circuit designed for a particular use or application rather than intended for general-purpose use. In data center operations, ASICs are implemented to accelerate specific workloads by optimizing the hardware to perform particular tasks with high efficiency and at high speeds. The central processing unit (CPU) is the crucial element of a computer that performs most of the processing inside a computer. In data centers, CPUs are responsible for executing instructions from computer programs involving arithmetic, logic, control, and input & output functions specified by the instructions. Field-programmable gate arrays (FPGAs) include semiconductor devices that are built around a matrix of configurable logic blocks (CLBs) connected using programmable interconnections. FPGAs can be reprogrammed to cater to the desired application or functionality requirements after manufacturing. The graphics processing unit (GPU) is a specialized electronic circuit designed to accelerate the generation of images.
Data Center Type: Adoption of accelerators in cloud data centers to optimize overall operational efficiency
The need for cloud data center accelerators lies in the rising demand for efficient, scalable, and cost-effective services. The massive data streams processed by modern hyperscale data centers led to the adoption of accelerators and enhanced the performance of tasks such as machine learning, data analysis, and critical application processing. Implementing accelerators can lead to higher throughput, low latency, and power efficiency, which makes it possible to process large data sets in shorter time spans. In colocation data centers, where multiple clients share physical infrastructure, performance and scalability considerations are of utmost importance. With the growing complexities of shared environments, data accelerators can offer the benefits of workload-specific performance tuning. Accelerators bring in capabilities to analyze large data sets at a rapid rate, mitigating the risk of data bottlenecks. They enable quick data processing that can lead to improved service levels for multi-tenant environments. In enterprise data centers, data accelerators are leaning towards becoming a necessity due to the increasing influx of data and the rise in sophistication of enterprise applications. Accelerators can support complex computational tasks, boosting data processing and analytics. Handled by third-party companies, managed services data centers face continuous pressure to deliver efficient and seamless services. Client demands range from high-speed data processing to rock-solid security measures. Datacenter accelerators can aid them by providing faster, more efficient processing and potentially reducing the need for larger server fleets. This could both improve performance and reduce operating costs.
Regional Insights:
The Americas, mainly the U.S. and Canada, observe significant adoption of data center accelerators due to the consistent expansion of data centers and new data center establishment activities. The presence of multinational corporations significantly elevates the data center accelerator market development in the Americas. These key players have data centers spread across regions, influencing the sectors’ distribution and overall market share. Accelerating digitization in countries such as China, India, and Australia has fueled the demand for data center accelerators in the Asia-Pacific region. Rapid industrial growth and an increasing focus on data analysis, elevating the data traffic and creating the need for high-volume data centers, have led to a rise in the production of these accelerators in the region. Europe, with major tech hubs such as the UK, Germany, and France, exhibits significant use of data center accelerators. Europe presents a key opportunity for the expansion of market players as the region is backed with several investments for building new edge data centers. Although still emerging, the MEA region shows potential growth in the use of data center accelerators. The rise in data centers, particularly in the Gulf Cooperation Council (GCC) countries, is set to drive future demand for data center accelerators.
FPNV Positioning Matrix:
The FPNV Positioning Matrix is essential for assessing the Data Center Accelerator Market. It provides a comprehensive evaluation of vendors by examining key metrics within Business Strategy and Product Satisfaction, allowing users to make informed decisions based on their specific needs. This advanced analysis then organizes these vendors into four distinct quadrants, which represent varying levels of success: Forefront (F), Pathfinder (P), Niche (N), or Vital(V).
Market Share Analysis:
The Market Share Analysis offers an insightful look at the current state of vendors in the Data Center Accelerator Market. By comparing vendor contributions to overall revenue, customer base, and other key metrics, we can give companies a greater understanding of their performance and what they are up against when competing for market share. The analysis also sheds light on just how competitive any given sector is about accumulation, fragmentation dominance, and amalgamation traits over the base year period studied.
Key Company Profiles:
The report delves into recent significant developments in the Data Center Accelerator Market, highlighting leading vendors and their innovative profiles. These include Accenture PLC, Achronix Semiconductor Corporation, Advanced Micro Devices, Inc., Advantech Co., Ltd., Analog Devices, Inc., Cisco Systems, Inc., Dell Technologies Inc., Devoteam Group, Fujitsu Limited, Google LLC by Alphabet Inc., Hailo Technologies Ltd., Infineon Technologies AG, Intel Corporation, International Business Machines Corporation, Lattice Semiconductor Corporation, Lenovo Group Limited, Marvell Technology, Inc., Meta Platforms, Inc, Microchip Technology Incorporated, Micron Technology, Inc., Microsoft Corporation, Murata Manufacturing Co., Ltd., NEC Corporation, NTT Corporation, NVIDIA Corporation, NXP Corporation, Oracle Corporation, QUALCOMM Incorporated, Samsung Electronics Co., Ltd., Sapeon Inc., Skyworks Solutions, Inc., Taiwan Semiconductor Manufacturing Company Limited, and Zenlayer Inc..
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Market Segmentation & Coverage:
This research report categorizes the Data Center Accelerator Market in order to forecast the revenues and analyze trends in each of following sub-markets:
Based on Processor Type, market is studied across Application-Specific Integrated Circuit, Central Processing Unit, Field-Programmable Gate Array, and Graphics Processing Unit. The Field-Programmable Gate Array commanded largest market share of 30.94% in 2022, followed by Graphics Processing Unit.
Based on Data Center Type, market is studied across Cloud Data Centers, Colocation Data Centers, Enterprise Data Centers, and Managed Services Data Centers. The Cloud Data Centers commanded largest market share of 31.82% in 2022, followed by Managed Services Data Centers.
Based on Application, market is studied across Deep Learning Training, Enterprise Interface, and Public Cloud Interface. The Deep Learning Training commanded largest market share of 38.30% in 2022, followed by Public Cloud Interface.
Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Georgia, Illinois, Kentucky, Michigan, Mississippi, New Jersey, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom. The Americas commanded largest market share of 38.05% in 2022, followed by Europe, Middle East & Africa.
Key Topics Covered:
1. Preface
2. Research Methodology
3. Executive Summary
4. Market Overview
5. Market Insights
6. Data Center Accelerator Market, by Processor Type
7. Data Center Accelerator Market, by Data Center Type
8. Data Center Accelerator Market, by Application
9. Americas Data Center Accelerator Market
10. Asia-Pacific Data Center Accelerator Market
11. Europe, Middle East & Africa Data Center Accelerator Market
12. Competitive Landscape
13. Competitive Portfolio
14. Appendix
The report provides insights on the following pointers:
1. Market Penetration: Provides comprehensive information on the market offered by the key players
2. Market Development: Provides in-depth information about lucrative emerging markets and analyzes penetration across mature segments of the markets
3. Market Diversification: Provides detailed information about new product launches, untapped geographies, recent developments, and investments
4. Competitive Assessment & Intelligence: Provides an exhaustive assessment of market shares, strategies, products, certification, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players
5. Product Development & Innovation: Provides intelligent insights on future technologies, R&D activities, and breakthrough product developments
The report answers questions such as:
1. What is the market size and forecast of the Data Center Accelerator Market?
2. Which are the products/segments/applications/areas to invest in over the forecast period in the Data Center Accelerator Market?
3. What is the competitive strategic window for opportunities in the Data Center Accelerator Market?
4. What are the technology trends and regulatory frameworks in the Data Center Accelerator Market?
5. What is the market share of the leading vendors in the Data Center Accelerator Market?
6. What modes and strategic moves are considered suitable for entering the Data Center Accelerator Market?
Mr. Ketan Rohom
360iResearch
+1 530-264-8485
ketan@360iresearch.com
