Outlook on the Data Center Accelerator Global Market to 2027 - COVID-19 Impact Analysis Report and Forecasts

Dublin, Oct. 13, 2021 (GLOBE NEWSWIRE) -- The "Global Data Center Accelerator Market By Type, By Processor Type, By Application, By Regional Outlook, COVID-19 Impact Analysis Report and Forecast, 2021 - 2027" report has been added to ResearchAndMarkets.com's offering.

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.

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 MarketPartnerships, 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.

Key Topics Covered:

Chapter 1. Market Scope & Methodology

Chapter 2. Market Overview
2.1 Introduction
2.1.1 Overview
2.1.2 Market Composition and Scenario
2.2 Key Factors Impacting the Market
2.2.1 Market Drivers
2.2.2 Market Restraints

Chapter 3. Competition Analysis - Global
3.1 Cardinal Matrix
3.2 Recent Industry Wide Strategic Developments
3.2.1 Partnerships, Collaborations and Agreements
3.2.2 Product Launches and Product Expansions
3.2.3 Acquisition and Mergers
3.3 Top Winning Strategies
3.3.1 Key Leading Strategies: Percentage Distribution (2017-2021)
3.3.2 Key Strategic Move: (Product Launches and Product Expansions : 2018, Oct - 2021, Jun) Leading Players

Chapter 4. Global Data Center Accelerator Market by Type
4.1 Global Data Center Accelerator HPC Data Center Market by Region
4.2 Global Data Center Accelerator Cloud Data Center Market by Region

Chapter 5. Global Data Center Accelerator Market by Application
5.1 Global Data Center Accelerator Deep Learning Training Market by Region
5.2 Global Data Center Accelerator Public Cloud Interface Market by Region
5.3 Global Data Center Accelerator Enterprise Interface Market by Region

Chapter 6. Global Data Center Accelerator Market by Processor Type
6.1 Global CPU Data Center Accelerator Market by Region
6.2 Global FPGA Data Center Accelerator Market by Region
6.3 Global GPU Data Center Accelerator Market by Region
6.4 Global ASIC Data Center Accelerator Market by Region

Chapter 7. Global Data Center Accelerator Market by Region

Chapter 8. Company Profiles
8.1 Intel Corporation
8.1.1 Company Overview
8.1.2 Financial Analysis
8.1.3 Segmental and Regional Analysis
8.1.4 Research & Development Expenses
8.1.5 Recent Strategies and Developments:
8.1.5.1 Partnerships, Collaborations, and Agreements:
8.1.5.2 Acquisitions and Mergers:
8.1.5.3 Product Launches and Product Expansions:
8.1.6 SWOT Analysis
8.2 NEC Corporation
8.2.1 Company Overview
8.2.2 Financial Analysis
8.2.3 Segmental Analysis
8.2.4 Research & Development Expenses
8.2.5 Recent Strategies and Developments:
8.2.5.1 Partnerships, Collaborations, and Agreements:
8.2.6 SWOT Analysis
8.3 Google, Inc.
8.3.1 Company Overview
8.3.2 Financial Analysis
8.3.3 Segmental and Regional Analysis
8.3.4 Research & Development Expense
8.3.5 SWOT Analysis
8.4 IBM Corporation
8.4.1 Company Overview
8.4.2 Financial Analysis
8.4.3 Regional & Segmental Analysis
8.4.4 Research & Development Expenses
8.4.5 Recent strategies and developments:
8.4.5.1 Product Launches and Product Expansions:
8.4.6 SWOT Analysis
8.5 Micron Technology, Inc.
8.5.1 Company Overview
8.5.2 Financial Analysis
8.5.3 Segmental and Regional Analysis
8.5.4 Research & Development Expense
8.5.5 Recent Strategies and Developments:
8.5.5.1 Acquisitions and Mergers:
8.5.5.2 Product Launches and Product Expansions:
8.6 Advanced Micro Devices, Inc.
8.6.1 Company Overview
8.6.2 Financial Analysis
8.6.3 Segmental and Regional Analysis
8.6.4 Research & Development Expenses
8.6.5 Recent Strategies and Developments:
8.6.5.1 Product Launches and Product Expansions:
8.7 Marvell Technology Group Ltd.
8.7.1 Company Overview
8.7.2 Financial Analysis
8.7.3 Regional Analysis
8.7.4 Research & Development Expense
8.7.5 Recent strategies and developments:
8.7.5.1 Partnerships, Collaborations, and Agreements:
8.7.5.2 Acquisition and Mergers:
8.8 NVIDIA Corporation
8.8.1 Company Overview
8.8.2 Financial Analysis
8.8.3 Segmental and Regional Analysis
8.8.4 Research & Development Expense
8.8.5 Recent strategies and developments:
8.8.5.1 Partnerships, Collaborations, and Agreements:
8.8.5.2 Product Launches and Product Expansions:
8.8.6 SWOT Analysis
8.9 Xilinx, Inc.
8.9.1 Company Overview
8.9.2 Financial Analysis
8.9.3 Regional Analysis
8.9.4 Research & Development Expenses
8.9.5 Recent strategies and developments:
8.9.5.1 Acquisitions and Mergers:
8.9.5.2 Product Launches and Product Expansions:
8.10. Qualcomm, Inc.
8.10.1 Company Overview
8.10.2 Financial Analysis
8.10.3 Segmental and Regional Analysis
8.10.4 Research & Development Expense
8.10.5 Recent strategies and developments:
8.10.5.1 Acquisitions and Mergers:
8.10.5.2 Product Launches and Product Expansions:
8.10.6 SWOT Analysis

For more information about this report visit https://www.researchandmarkets.com/r/hl7ggw

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