The Global Data Center Accelerator Market size is expected to reach $75.2 billion by 2027, rising at a market growth of 34% CAGR during the forecast period. A software program or hardware device, which improves the entire computer performance by processing visual data, is known as a data center accelerator. Additionally, data center accelerators enable companies to boost the consumer-centric data demand and improve the usage of artificial intelligence (AI)-based services to surge the demand for AI-driven data centers, which is expected to enhance the performance of data centers.
Modern data centers are among the important scientific discoveries, which help in solving numerous vital challenges. These advanced data centers are helping in boosting the networking bandwidth and making the best use of the workloads such as artificial intelligence. In addition, data center administrators also can get the benefits like lower power, less overall cost of ownership, and the latest services.
The growing penetration of smartphones along with the high adoption of improved and latest technologies like IoT, AI, and big data is anticipated to augment the demand for data center accelerators in the IT and telecom industry. Several telecom service providers are highly deploying GPU machine learning algorithms in data center servers to accelerate the model training times, forecast the future, and identify abnormalities.
The increasing number of social media platforms and streamline video content trends in the telecom sector are leading to the higher data traffic, which is encouraging organizations to implement accelerated analytics and visualization platforms to reduce the loss of data and facilitate business continuity & security. Many enterprises like CenturyLink, and Telecom Italia, are improving their presence in various regions, which is expected to propel the growth of the data center accelerator market.
COVID-19 Impact Analysis
The global outbreak of the COVID-19 pandemic has impacted almost all sectors of business. As things will start getting normalized, the manufacturing sector is estimated to accelerate smart manufacturing processes by utilizing IoT, AI, and blockchain technologies. Through the implementation of these technologies, enterprises can reduce costs, fuel process efficiency, and significantly decrease human contact. At present, AI is majorly utilized for predictive maintenance and is expected to be deployed to predict demand and revenues in the supply chain.
Due to the pandemic, educational industries have witnessed a positive impact as ed-tech organizations have increasingly adopted AI technology to carry out education during the lockdown. Ed-tech companies have implemented AI tools to improve online learning & virtual classroom experience for students. This high usage of artificial intelligence in numerous industries is fueling the demand for data center accelerators in the market.
Market Growth Factors:
Cloud-based services are in huge demand
Designers, gamers, creative professionals, and video enthusiasts need deep learning accelerators with parallel processing offerings, which could facilitate the provisioning of on-demand machine learning for virtual reality, augmented reality, and numerous other application areas. These technologies are creating more demand for data centers and thus, fueling the demand for data center accelerators in the market.
FPGA-based accelerators are witnessing an upsurge in demand
FPGA refers to an integrated circuit, that can be configured by a customer or designer after it is manufactured. In addition, FPGAs are encoded with the help of utilizing hardware description languages like VHSIC hardware description language (VHDL) or Verilog. These FPGAs provide benefits like a short time to market, fast prototyping, reprogrammable in the area for debugging, and a long product life cycle.
Market Restraining Factor:
Absence of expertise in the market
The low availability of AI hardware experts is one of the factors restraining the growth of the data center accelerator market. The complexity of AI makes it difficult for the company’s personnel for managing, developing and deploying AI systems as they require specific skills to operate. Furthermore, the integration of AI solutions with current systems is one of the hard tasks, which need well-funded in-house R&D and patent filling.
Type Outlook
Based on Type, the market is segmented into HPC Data Center and Cloud Data Center. High-Performance Computing (HPC) refers to a specialized field to computers focused on performing a huge amount of calculation within a short span. At present, HPC customers are generally research organisms and large industrial groups that are usually concentrated in simulation-intensive industries like the automotive, aerospace energy, and pharmaceuticals sectors.
Processor Type Outlook
Based on Processor Type, the market is segmented into CPU, FPGA, GPU and ASIC. FPGA stands for Field programmable gate arrays that refer to the pre-fabricated silicon devices, which could be programmed electrically to become any type of digital system. These devices are a collection of configurable logic blocks (CLBs) linked with programmable interconnects and could be reprogrammed to the preferred application needs after manufacturing.
Application Outlook
Based on Application, the market is segmented into Deep Learning Training, Public Cloud Interface and Enterprise Interface. The enterprise interface segment is estimated to register the highest growth rate during the forecast period because of the hyper-scale cloud-based organizations like Google, Amazon.com, Facebook, which are increasingly aiming at the digital transformation to create similar kinds of cloud-native applications.
Regional Outlook
Based on Regions, the market is segmented into North America, Europe, Asia Pacific, and Latin America, Middle East & Africa. The increasing number of data centers in various nations like the US and Canada is creating lucrative opportunities for the key players of the market. In addition, the high adoption rate of various latest technologies is expected to also augment the demand for data center accelerators in this region over the forecast period. The presence of big giants and key market players is pushing the data center accelerator market forward in this region.
Cardinal Matrix - Data Center Accelerator Market Competition Analysis
The major strategies followed by the market participants are Product Launches. Based on the Analysis presented in the Cardinal matrix; Google, Inc. is the major forerunners in the Data Center Accelerator Market. Companies such as NEC Corporation, IBM Corporation, and Micron Technology, Inc. are some of the key innovators in the market.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Intel Corporation, NEC Corporation, Google, Inc., IBM Corporation, Micron Technology, Inc., Advanced Micro Devices, Inc., Marvell Technology Group Ltd., NVIDIA Corporation, Xilinx, Inc. and Qualcomm, Inc.
Recent Strategies Deployed in Data Center Accelerator Market
Partnerships, Collaborations, and Agreements:
- May-2021: NEC X formed a partnership with Alchemist Accelerator, a venture-backed initiative aiming at accelerating the development of early-stage ventures. This partnership aimed to offer technology startups end-to-end support that includes NEC R&D technologies and business launch coordination. In addition, NEC X delivers its Corporate Accelerator Program (CAP) along with AlchemistX, Alchemist’s corporate innovation accelerator, to accelerate the growth of early-stage startups.
- Apr-2021: NVIDIA entered into a collaboration with Cloudera, a US-based company that provides an enterprise data cloud. This collaboration is expected to enable the Cloudera Data Platform (CDP) to combine the RAPIDS Accelerator for Apache Spark 3.0, implemented on NVIDIA’s computing platforms. The RAPIDS Accelerator for Apache Spark 3.0 is expected to help companies to develop data pipelines across artificial intelligence (AI) and machine learning (ML), without the requirement to change code, along with providing analytics and insights.
- Sep-2020: Marvell entered into a partnership with TSMC, a Taiwanese multinational semiconductor contract manufacturing, and design company. This partnership aimed to develop the latest portfolio of chips based on its 5-nm process for a broad variety of areas, from data centers to 5G network infrastructure. Through this partnership, Marvell intended to upgrade its products from TSMC's 7-nm process node, the existing state-of-the-art in the global chip business, to the 5-nm node to enhance the bandwidth, storage, speed, and machine-learning offerings of its chips in a low-power envelope.
Acquisitions and Mergers:
- Apr-2021: Marvell Technology took over Inphi Corporation, a leader in high-speed data movement. This acquisition is expected to strengthen the company's position for end-to-end technology leadership in data infrastructure.
- Mar-2021: Qualcomm completed the acquisition of NUVIA, an international group specialized in nuclear technology. In this acquisition, NUVIA team improves Qualcomm's CPU roadmap, strengthening Qualcomm’s leading technology position with the Android, Windows, and Chrome ecosystems.
- Nov-2020: Intel took over Cnvrg.io, a company that operates a platform for data scientists to develop and operate machine learning models. Through this acquisition, the code-first platform by Cnvrg is expected to help the company to focus on making algorithms with less time spending on DevOps. It is expected to further lead to the expanded number of models in production.
Product Launches and Product Expansions:
- Jun-2021: Micron introduced the latest products based on the top 176-layer NAND and 1-alpha DRAM process. The latest portfolio additions provide the company’s vision of boosting data-driven insights via innovations in memory and storage, which help the latest capabilities from the data center to the intelligent edge.
- Apr-2021: Intel unveiled New 3rd Gen Intel Xeon Scalable, its most advanced, highest performance data center platform. This platform is optimized to empower the industry’s wide variety of workloads from the cloud to the network to the intelligent edge. These processors offer a substantial performance surge in comparison to the prior generation, with an average of 46% enhancements on popular data center workloads. In addition, the processors also add the latest and improved platform capabilities that include Intel SGX for built-in security, and Intel Crypto Acceleration & Intel DL Boost for AI acceleration.
- Apr-2021: NVIDIA launched its next-generation AI-enabled processor for autonomous vehicles, NVIDIA DRIVE Atlan. These processors is expected to provide more than 1,000 trillion operations per second (TOPS) and targets automakers. The NVIDIA DRIVE Atlan system-on-a-chip is the latest addition to NVIDIA’s centralized compute roadmap for autonomous vehicles that integrates AI and software with the new in networking, computing, and security for unmatchable levels of performance & security.
- Apr-2021: NVIDIA unveiled its first data center CPU, an Arm-based processor. This processor provides 10x the performance of the current fastest servers on the most complicated AI and high-performance computing workloads. NVIDIA Grace CPU is developed to meet the computing needs for the most advanced applications that include recommender systems, natural language processing, and AI supercomputing, which evaluate huge datasets needing both ultra-fast to compute performance and massive memory.
- Apr-2021: NVIDIA launched the NVIDIA Bluefield-3 DPU, its next-generation data processing unit. This product aims to offer the most robust software-defined networking, storage, and cyber security acceleration offerings accessible for data centers. BlueField-3 enables companies to provide applications at any scale with top performance and data center security. Further, it is optimized for cloud-native surroundings, multi-tenant, hardware-accelerated networking, providing software-defined, storage, security & management services at a data-center scale.
- Jan-2021: Advanced Micro Devices (AMD) introduced a slew of processors for laptops, gaming consoles, and data centers. This launch includes a new range of high-performance chips that include an upcoming next-generation server processor for data centers, developed to manage extraordinary high-performance computing (HPC) workloads.
- Nov-2020: Intel introduced a new cloud gaming GPU for data centers. This product is aimed to improve cloud gaming and media streaming capabilities. Additionally, the chip provides a high-density, low-latency solution for Android cloud gaming applications.
- Nov-2020: Advanced Micro Devices (AMD) launched the latest AMD Instinct MI100 accelerator. This accelerator has revolutionized the industry as it surpasses in all capabilities, offering AI and compute performance. The new accelerated compute platforms supported GPU from Gigabyte, Dell, HPE, and Supermicro.
- Aug-2020: IBM introduced IBM POWER10, the next generation of its IBM POWER central processing unit (CPU) family. This portfolio is developed to provide a platform to fulfill the unique requirements of enterprise hybrid cloud computing. The IBM POWER10 processor utilizes a design aimed at energy efficiency and performance in a 7nm form aspect.
- May-2020: NVIDIA introduced NVIDIA A100, the first GPU based on the NVIDIA Ampere architecture. The A100 is built on design breakthroughs in the NVIDIA Ampere architecture providing the company’s biggest leap in performance to date in its eight generations of GPUs to integrate AI training & inference and improve the performance by up to 20x across its predecessors. The A100 is a universal workload accelerator, which is also developed for scientific computing, data analytics, and cloud graphics.
- Mar-2020: Xilinx unveiled Alveo U25 SmartNIC, the industry’s first SmartNIC platform. This platform provides true convergence of network, storage, and compute acceleration functions on a single device. The Alveo U25 SmartNIC is developed to add better efficiency and lower TCO advantages of SmartNICs to cloud service providers, telcos, and private cloud data center operators struggling with growing networking demands and increasing costs. The U25 integrates a highly optimized SmartNIC platform with a robust and flexible FPGA-based engine, which supports full programmability and turnkey accelerated applications.
Scope of the Study
Market Segments Covered in the Report:
By Type
- HPC Data Center
- Cloud Data Center
By Processor Type
- CPU
- FPGA
- GPU
- ASIC
By Application
- Deep Learning Training
- Public Cloud Interface
- Enterprise Interface
By Geography
- North America
- US
- Canada
- Mexico
- Rest of North America
- Europe
- Germany
- UK
- France
- Russia
- Spain
- Italy
- Rest of Europe
- Asia Pacific
- China
- Japan
- India
- South Korea
- Singapore
- Malaysia
- Rest of Asia Pacific
- LAMEA
- Brazil
- Argentina
- UAE
- Saudi Arabia
- South Africa
- Nigeria
- Rest of LAMEA
Key Market Players
List of Companies Profiled in the Report:
- Intel Corporation
- NEC Corporation
- Google, Inc.
- IBM Corporation
- Micron Technology, Inc.
- Advanced Micro Devices, Inc.
- Marvell Technology Group Ltd.
- NVIDIA Corporation
- Xilinx, Inc.
- Qualcomm, Inc.
Unique Offerings from the Publisher
- Exhaustive coverage
- The highest number of market tables and figures
- Subscription-based model available
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Table of Contents
Companies Mentioned
- Intel Corporation
- NEC Corporation
- Google, Inc.
- IBM Corporation
- Micron Technology, Inc.
- Advanced Micro Devices, Inc.
- Marvell Technology Group Ltd.
- NVIDIA Corporation
- Xilinx, Inc.
- Qualcomm, Inc.
Methodology
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