表紙
市場調查報告書
商品編碼
1019455

資料中心加速器的全球市場 (∼2026年):各處理器類型、類型 (HPC加速器、雲端加速器)、用途、地區

Data Center Accelerator Market by Processor Type (CPU, GPU, FPGA, ASIC), Type (HPC Accelerator, Cloud Accelerator), Application (Deep Learning Training, Public Cloud Interface, Enterprise Interface), and Geography - Global Forecast to 2026

出版日期: | 出版商: MarketsandMarkets | 英文 204 Pages | 訂單完成後即時交付

價格
  • 全貌
  • 簡介
  • 目錄
簡介

資料中心加速器的市場規模在預測期間內預計以36.7%的年複合成長率發展,從2021年的137億美元,成長到2026年653億美元的規模。

對深層學習等用途的資料中心加速器的需求高漲帶動市場成長。

AI中心的資料劇增導致加入伺服器的協處理器(加速器)的成長。加速器,由於降低延遲,最佳化伺服器的資料處理。

本報告提供全球資料中心加速器的市場調查,市場定義和概要,價值鏈,新型冠狀病毒感染疾病 (COVID-19) 以及其他的市場影響因素分析,法律規章、指南,技術、專利分析,案例研究,市場規模的變化、預測,處理器類型、類型、用途、地區/主要國家等各種區分的明細,競爭環境,主要企業簡介等彙整資訊。

第1章 簡介

第2章 調查手法

第3章 摘要整理

第4章 重要考察

第5章 市場概要

  • 市場動態
    • 促進因素
    • 阻礙因素
    • 市場機會
    • 課題
  • COVID-19的影響
  • 生態系統
  • 技術分析
  • 案例研究
  • 價值鏈
  • 標準、指南
  • 法律規章
  • 波特的五力分析
  • 價格分析
  • 專利分析
  • YC-YCC的轉移
  • 貿易分析

第6章 市場分析、預測:各處理器類型

  • CPU
  • GPU
  • FPGA
  • ASIC

第7章 市場分析、預測:各類型

  • 雲端資料中心
  • HPC資料中心

第8章 市場分析、預測:各用途

  • 深度學習訓練
  • 公共雲端介面
  • 企業介面

第9章 市場分析、預測:各地區、主要國家

  • 北美
  • 歐洲
  • 亞太地區
  • 其他地區

第10章 競爭情形

  • 前3名公司的收益分析
  • 市場佔有率分析
  • 競爭領導製圖
  • 中小企業(SME)評估象限
  • 競爭情形、趨勢

第11章 企業簡介

  • 主要企業
    • INTEL
    • NVIDIA
    • XILINX
    • MICRON
    • AMD
    • QUALCOMM
    • IBM
    • GOOGLE
    • MARVELL
    • ACHRONIX SEMICONDUCTOR
  • 其他的主要企業
    • GRAPHCORE
    • HUAWEI TECHNOLOGIES
    • FUJITSU
    • WAVE COMPUTING
    • SAMBANOVA
    • GYRFALCON TECHNOLOGY INC.
    • NEC
    • LATTICE SEMICONDUCTOR
    • ENFLAME TECHNOLOGY
    • MICROCHIP TECHNOLOGY
    • LEAP MIND INC.
    • QNAP SYSTEM INC.
    • ADVANTECH CO., LTD
    • SEMPTIAN
    • BITTWARE

第12章 附錄

目錄
Product Code: SE 6553

Data center accelerator market was valued at USD 13.7 billion in 2021 and is anticipated to reach USD 65.3 billion by 2026, growing at a CAGR of 36.7% between 2021 to 2026. The growing demand for data center accelerator in applications such as deep learning is driving the growth of data center accelerator market.

Deep learning services being made available over the cloud are reducing the initial costs associated with executing business operations and curtailing server maintenance tasks. A growing number of tech giants and startups have begun offering machine learning as a cloud service due to the burgeoning demand for AI-based computation. Most companies and startups do not develop their own specialized hardware or software to apply deep learning to their specific business needs. Cloud-based solutions are ideal for small and midsized businesses that find on-premises solutions costlier. Thus, the increasing adoption of cloud-based technology is necessitating the need for deep learning.

Artificial intelligence to drive the growth of cloud data center

Cloud data center is dominating the data center accelerator market owing to rise in demand for AI based solution. The growth of AI is leading to changes in cloud server configuration. The cloud computing market has witnessed significant growth owing to the surge in the volume of data being transferred to the cloud from consumers. The surge in AI-centric data has led to the growth of co-processors (accelerators) embedded in the servers. The accelerators optimize data processing at the servers by reducing the latency.

According to Intel, currently, ~7% of the servers are used in deep learning activities. There are ~12 million server units around the globe as of 2021. In the AI-capable servers for deep learning training, the typical CPU to GPU attach rate is 1-4 GPUs; in some cases, it is around 1-8 GPUs. Deep learning is expected to account for the majority of cloud workload during the forecast period, which, in turn, is likely to propel the demand for accelerators for cloud servers. More than one-third of servers to be shipped in 2026 are likely to run either deep learning training algorithms or deep learning inference algorithms. Accelerators are likely to be deployed in the cloud servers for both public and enterprise cloud inference applications. However, training applications are expected to account for the majority of the server applications by the end of 2026.

Asia Pacific is the fastest-growing region in the data center accelerator market

The data center accelerator market in APAC is anticipated to register the highest CAGR of 42.7% between 2021 and 2026. The organizations in APAC have more preference for deploying a hybrid cloud. The organizations are adopting a mix of on-premises, third-party, co-location, private cloud, hosted cloud, and public cloud-depending on the nature of workloads, legacy decisions made by the team, budgets, and technology maturity within the organization.

The 2 major players in the data center accelerator market are NVIDIA Corporation (US) and Intel Corporation (US). Intel mainly focuses on its Xeon Phi processors and FPGA co-processors; however, NVIDIA has nearly reached a monopoly in the data centers accelerator market with its GPU accelerators. Apart from NVIDIA and Intel, several start-ups are working on ASIC and FPGA accelerator architectures.

The breakup of primaries conducted during the study is depicted below:

  • By Company Type: Tier 1 - 45 %, Tier 2 - 32%, and Tier 3 -23%
  • By Designation: C-Level Executives - 30%, Directors - 45%, and Others - 25%
  • By Region: North America- 26%, Europe - 40%, APAC - 22% and ROW - 12%

Research Coverage

The report segments the data center accelerator market and forecasts its size, by volume and value, based on region (North America, Europe, Asia Pacific, and RoW), Processor Type (CPU, GPU, FPGA, ASIC), Type (HPC Accelerator, Cloud Accelerator), Application (Deep Learning Training, Public Cloud Interface, Enterprise Interface). The report also provides a comprehensive review of market drivers, restraints, opportunities, and challenges in the data center accelerator market. The report also covers qualitative aspects in addition to the quantitative aspects of these markets.

Key Benefits of Buying This Report

  • This report includes market statistics pertaining to the processor, type, application, and region.
  • An in-depth value chain analysis has been done to provide deep insight into the data center accelerator market.
  • Major market drivers, restraints, challenges, and opportunities have been detailed in this report.
  • Illustrative segmentation, analyses, and forecasts for the market based on processor, type, application, and region have been conducted to provide an overall view of the data center accelerator market.
  • The report includes an in-depth analysis and ranking of key players.

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 STUDY OBJECTIVES
  • 1.2 MARKET DEFINITION
    • 1.2.1 INCLUSIONS AND EXCLUSIONS
  • 1.3 STUDY SCOPE
    • 1.3.1 MARKETS COVERED
    • FIGURE 1 SEGMENTATION OF THE DATA CENTER ACCELERATOR MARKET
    • 1.3.2 DATA CENTER ACCELERATOR MARKET, BY GEOGRAPHY
    • 1.3.3 YEARS CONSIDERED
  • 1.4 CURRENCY
  • 1.5 LIMITATIONS
  • 1.6 STAKEHOLDERS
  • 1.7 SUMMARY OF CHANGES

2 RESEARCH METHODOLOGY

  • 2.1 RESEARCH DATA
    • FIGURE 2 RESEARCH DESIGN
    • 2.1.1 SECONDARY DATA
      • 2.1.1.1 Secondary sources
    • 2.1.2 PRIMARY DATA
      • 2.1.2.1 Key industry insights
      • 2.1.2.2 Breakdown of primaries
  • 2.2 MARKET SIZE ESTIMATION
    • 2.2.1 MARKET SIZE ESTIMATION OF THE DATA CENTER ACCELERATOR MARKET
      • 2.2.1.1 Approach for arriving at the market share by the bottom-up analysis (demand side)
    • 2.2.2 BOTTOM-UP APPROACH
    • 2.2.3 TOP-DOWN APPROACH
      • 2.2.3.1 Approach for arriving at the market share by the top-down analysis (supply side)
  • 2.3 MARKET BREAKDOWN & DATA TRIANGULATION
    • FIGURE 3 DATA TRIANGULATION
  • 2.4 RESEARCH ASSUMPTION
  • 2.5 RISK ASSESSMENT
  • 2.6 LIMITATION OF RESEARCH
    • TABLE 1 MARKET FORECASTING METHODOLOGY ADOPTED FROM 2019 TO 2026

3 EXECUTIVE SUMMARY

    • FIGURE 4 GPU TO ACCOUNT FOR THE LARGEST SIZE OF THE DATA CENTER ACCELERATOR MARKET
    • FIGURE 5 DATA CENTER ACCELERATOR MARKET FOR ENTERPRISE INFERENCE TO GROW AT THE HIGHEST CAGR BETWEEN 2021 AND 2026
    • FIGURE 6 HPC DATA CENTER ACCELERATOR MARKET IN APAC TO GROW AT THE HIGHEST CAGR
    • FIGURE 7 DATA CENTER ACCELERATOR MARKET IN APAC PROJECTED TO GROW AT THE HIGHEST CAGR
  • 3.1 IMPACT OF COVID-19 ON THE DATA CENTER ACCELERATOR MARKET
    • FIGURE 8 IMPACT OF COVID-19 ON THE DATA CENTER ACCELERATOR MARKET, 2018-2025 (USD MILLION)
    • 3.1.1 REALISTIC SCENARIO (POST-COVID-19)
    • 3.1.2 OPTIMISTIC SCENARIO (POST-COVID-19)
    • 3.1.3 PESSIMISTIC SCENARIO (POST-COVID-19)

4 PREMIUM INSIGHTS

  • 4.1 ATTRACTIVE OPPORTUNITIES IN THE DATA CENTER ACCELERATOR MARKET
    • FIGURE 9 RISING NEED FOR CO-PROCESSORS IN DATA CENTERS DUE TO SLOW DOWN IN MOORE'S LAW AS POTENTIAL OPPORTUNITY FOR THE MARKET
  • 4.2 DATA CENTER ACCELERATOR MARKET, BY TYPE
    • FIGURE 10 MARKET FOR CLOUD DATA CENTER ACCELERATOR TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD
  • 4.3 MARKET FOR CLOUD DATA CENTER ACCELERATOR, BY COUNTRY
    • FIGURE 11 CLOUD DATA CENTER ACCELERATOR MARKET IN INDIA TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
  • 4.4 APAC: DATA CENTER ACCELERATOR MARKET, BY APPLICATION & COUNTRY
    • FIGURE 12 PUBLIC CLOUD INFERENCE TO HOLD THE LARGEST SHARE OF THE DATA CENTER ACCELERATOR MARKET IN APAC BY 2026
  • 4.5 DATA CENTER ACCELERATOR MARKET, BY PROCESSOR TYPE
    • FIGURE 13 MARKET FOR ASIC TO GROW AT A HIGHER CAGR BETWEEN 2021 AND 2026

5 MARKET OVERVIEW

  • 5.1 INTRODUCTION
  • 5.2 MARKET DYNAMICS
    • FIGURE 14 DATA CENTER ACCELERATOR MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
    • 5.2.1 DRIVERS
      • 5.2.1.1 Growth of cloud-based services
    • TABLE 2 COMPANIES OFFERING CLOUD SERVICES FOR DEEP/MACHINE LEARNING
      • 5.2.1.2 Focus on parallel computing in AI data centers
      • 5.2.1.3 Deep learning usage in big data analytics
    • TABLE 3 DRIVERS: IMPACT ANALYSIS
    • 5.2.2 RESTRAINTS
      • 5.2.2.1 Premium pricing of accelerators
      • 5.2.2.2 Limited AI hardware experts
    • TABLE 4 RESTRAINTS: IMPACT ANALYSIS
    • 5.2.3 OPPORTUNITIES
      • 5.2.3.1 Demand in the market for FPGA-based accelerators
      • 5.2.3.2 Rising need for co-processors due to the slowdown of Moore's Law
    • FIGURE 15 SLOWDOWN IN MOORE'S LAW
    • TABLE 5 OPPORTUNITIES: IMPACT ANALYSIS
    • 5.2.4 CHALLENGES
      • 5.2.4.1 Unreliability of AI algorithms
      • 5.2.4.2 Complex AI mechanisms
    • TABLE 6 CHALLENGES: IMPACT ANALYSIS
  • 5.3 IMPACT OF COVID-19
  • 5.4 ECOSYSTEM
    • TABLE 7 COMPANIES AND THEIR ROLE IN THE ECOSYSTEM
    • FIGURE 16 ECOSYSTEM VIEW
  • 5.5 TECHNOLOGY ANALYSIS
    • 5.5.1 CLOUD GPU
    • 5.5.2 ARTIFICIAL INTELLIGENCE
    • TABLE 8 COMPARISON OF SMART PROCESSORS TYPE
  • 5.6 CASE STUDIES
    • 5.6.1 ACHIEVING FASTER AI-BASED MEDICAL DIAGNOSIS SUPPORT WITH XILINX ALVEO ACCELERATOR CARDS
    • 5.6.2 XILINX PROVIDES TWITCH WITH PLUG AND PLAY VP9 TRANSCODING SOLUTION FOR LIVE VIDEO STREAMING
    • 5.6.3 XILINX POWERS ALIBABA CLOUD FAAS WITH AI ACCELERATION SOLUTION FOR E-COMMERCE BUSINESS
    • 5.6.4 ARTIFICIAL INTELLIGENCE ACCELERATES DARK MATTER SEARCH
    • 5.6.5 CFD ACCELERATION WITH XILINX ALVEO FPGA
    • 5.6.6 OTHER USE CASES
      • 5.6.6.1 FPGA Use Cases; FPGAs as Offload Accelerators
      • 5.6.6.2 Intel's deep learning solutions brings touch to Somatic's robots
      • 5.6.6.3 AI catalyzes operational improvements for manufacturing and smart cities
      • 5.6.6.4 Accelerate Adoption of AI in Diagnostic Radiology
  • 5.7 VALUE CHAIN ANALYSIS
    • FIGURE 17 VALUE CHAIN ANALYSIS OF THE DATA CENTER ACCELERATOR MARKET
  • 5.8 STANDARDS AND GUIDELINES FOR THE DATA CENTER MARKET
    • 5.8.1 STORAGE NETWORKING INDUSTRY ASSOCIATION (SNIA)
    • 5.8.2 TELECOMMUNICATIONS INFRASTRUCTURE STANDARD FOR DATA CENTERS
    • 5.8.3 DISTRIBUTED MANAGEMENT TASK FORCE (DMTF) STANDARDS
    • 5.8.4 ELECTRONICS INDUSTRY ASSOCIATION (EIA)
    • 5.8.5 TELECOMMUNICATION INDUSTRY ASSOCIATION (TIA)
    • 5.8.6 DATA CENTER SITE INFRASTRUCTURE TIER STANDARD (UPTIME INSTITUTE)
    • 5.8.7 SNIA AND CLOUD DATA MANAGEMENT INFERENCE (CDMI)
  • 5.9 REGULATIONS
    • 5.9.1 EXPORT-IMPORT REGULATIONS
    • 5.9.2 RESTRICTION OF HAZARDOUS SUBSTANCES (ROHS) AND WASTE ELECTRICAL AND ELECTRONIC EQUIPMENT (WEEE)
    • 5.9.3 REGISTRATION, EVALUATION, AUTHORIZATION, AND RESTRICTION OF CHEMICALS (REACH)
    • 5.9.4 GENERAL DATA PROTECT ION REGULATION (GDPR)
  • 5.10 PORTER'S FIVE FORCES ANALYSIS
    • TABLE 9 IMPACT OF EACH FORCE ON THE MARKET
    • 5.10.1 BARGAINING POWER OF SUPPLIERS
    • 5.10.2 BARGAINING POWER OF BUYERS
    • 5.10.3 THREAT OF NEW ENTRANTS
    • 5.10.4 THREAT OF SUBSTITUTES
    • 5.10.5 INTENSITY OF COMPETITIVE RIVALRY
    • TABLE 10 IMPACT OF EACH FORCE ON THE MARKET, 2020 VS 2026
  • 5.11 PRICING ANALYSIS
    • TABLE 11 PRODUCT AND PRICING ANALYSIS
    • FIGURE 18 ASP OF CLOUD DATA CENTER ACCELERATOR PROCESSOR, 2018-2021 (USD)
    • TABLE 12 ASP RANGES OF PROCESSOR TYPES
  • 5.12 PATENT ANALYSIS
    • FIGURE 19 PATENT ANALYSIS
    • TABLE 13 LIST OF PATENTS
  • 5.13 YC-YCC SHIFT - DATA CENTER ACCELERATOR
    • FIGURE 20 YC-YCC SHIFT: DATA CENTER ACCELERATOR TO PRESENT NEW GROWTH OPPORTUNITIES
  • 5.14 TRADE ANALYSIS
    • TABLE 14 IMPORT DATA OF PARTS AND ACCESSORIES OF THE MACHINES OF HEADING, BY COUNTRY, 2016-2020 (USD THOUSANDS)
    • TABLE 15 EXPORT DATA PARTS AND ACCESSORIES OF THE MACHINES OF HEADING, BY COUNTRY, 2016-2020 (USD THOUSANDS)

6 DATA CENTER ACCELERATOR MARKET, BY PROCESSOR TYPE

  • 6.1 INTRODUCTION
    • FIGURE 21 DATA CENTER ACCELERATOR MARKET, BY PROCESSOR TYPE
    • FIGURE 22 DATA CENTER ACCELERATOR MARKET FOR ASIC TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
    • TABLE 16 DATA CENTER ACCELERATOR MARKET, BY PROCESSOR TYPE, 2018-2020 (USD MILLION)
    • TABLE 17 DATA CENTER ACCELERATOR MARKET, BY PROCESSOR TYPE, 2021-2026 (USD MILLION)
  • 6.2 CPU
    • 6.2.1 CPU CONSISTS OF A FEW CORES TO OPTIMIZE FOR SEQUENTIAL SERIAL PROCESSING
    • TABLE 18 DATA CENTER ACCELERATOR MARKET FOR CPU, BY APPLICATION, 2018-2020 (USD MILLION)
    • TABLE 19 DATA CENTER ACCELERATOR MARKET FOR CPU, BY APPLICATION, 2021-2026 (USD MILLION)
    • TABLE 20 DATA CENTER ACCELERATOR MARKET FOR CPU, BY TYPE, 2018-2020 (USD MILLION)
    • TABLE 21 DATA CENTER ACCELERATOR MARKET FOR CPU, BY TYPE, 2021-2026 (USD MILLION)
  • 6.3 GPU
    • 6.3.1 GPUS DEVELOPED TO DELIVER HIGH-PERFORMANCE TO THE DATA CENTERS
    • TABLE 22 DATA CENTER ACCELERATOR MARKET FOR GPU, BY APPLICATION, 2018-2020 (USD MILLION)
    • TABLE 23 DATA CENTER ACCELERATOR MARKET FOR GPU, BY APPLICATION, 2021-2026 (USD MILLION)
    • TABLE 24 DATA CENTER ACCELERATOR MARKET FOR GPU, BY TYPE, 2018-2020 (USD MILLION)
    • TABLE 25 DATA CENTER ACCELERATOR MARKET FOR GPU, BY TYPE, 2021-2026 (USD MILLION)
  • 6.4 FPGA
    • 6.4.1 FPGAS USED PRIMARILY IN MACHINE LEARNING INFERENCE, VIDEO ALGORITHMS, AND SMALL-VOLUME SPECIALIZED APPLICATIONS
    • TABLE 26 DATA CENTER ACCELERATOR MARKET FOR FPGA, BY APPLICATION, 2018-2020 (USD MILLION)
    • TABLE 27 DATA CENTER ACCELERATOR MARKET FOR FPGA, BY APPLICATION, 2021-2026 (USD MILLION)
    • TABLE 28 DATA CENTER ACCELERATOR MARKET FOR FPGA, BY TYPE, 2018-2020 (USD MILLION)
    • TABLE 29 DATA CENTER ACCELERATOR MARKET FOR FPGA, BY TYPE, 2021-2026 (USD MILLION)
  • 6.5 ASIC
    • 6.5.1 BEING AFFORDABLE, ASIC OFFERS LITTLE PROGRAMMABILITY BUT PROVIDES MAXIMUM PERFORMANCE AT A GIVEN POWER
    • TABLE 30 DATA CENTER ACCELERATOR MARKET FOR ASIC, BY APPLICATION, 2018-2020 (USD MILLION)
    • TABLE 31 DATA CENTER ACCELERATOR MARKET FOR ASIC, BY APPLICATION, 2021-2026 (USD MILLION)
    • TABLE 32 DATA CENTER ACCELERATOR MARKET FOR ASIC, BY TYPE, 2018-2020 (USD MILLION)
    • TABLE 33 DATA CENTER ACCELERATOR MARKET FOR ASIC, BY TYPE, 2021-2026 (USD MILLION)

7 DATA CENTER ACCELERATOR MARKET, BY TYPE

  • 7.1 INTRODUCTION
    • FIGURE 23 DATA CENTER ACCELERATOR MARKET, BY TYPE
    • FIGURE 24 DATA CENTER ACCELERATOR MARKET FOR CLOUD TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
    • TABLE 34 DATA CENTER ACCELERATOR MARKET, BY TYPE, 2018-2020 (USD MILLION)
    • TABLE 35 DATA CENTER ACCELERATOR MARKET, BY TYPE, 2021-2026 (USD MILLION)
  • 7.2 CLOUD DATA CENTER
    • 7.2.1 ARTIFICIAL INTELLIGENCE TO DRIVE THE GROWTH OF CLOUD DATA CENTER
    • TABLE 36 CLOUD DATA CENTER ACCELERATOR MARKET, BY PROCESSOR TYPE, 2018-2020 (USD MILLION)
    • TABLE 37 CLOUD DATA CENTER ACCELERATOR MARKET, BY PROCESSOR TYPE, 2021-2026 (USD MILLION)
    • TABLE 38 CLOUD DATA CENTER ACCELERATOR MARKET, BY REGION, 2018-2020 (USD MILLION)
    • TABLE 39 CLOUD DATA CENTER ACCELERATOR MARKET, BY REGION, 2021-2026 (USD MILLION)
  • 7.3 HPC DATA CENTER
    • 7.3.1 HPC USED FOR RUNNING HIGH LEVELS OF COMPUTATIONS ALGORITHMS THAT REQUIRE COMPLEX ANALYTICS
    • TABLE 40 HPC DATA CENTER ACCELERATOR MARKET, BY PROCESSOR TYPE, 2018-2020 (USD MILLION)
    • TABLE 41 HPC DATA CENTER ACCELERATOR MARKET, BY PROCESSOR TYPE, 2021-2026 (USD MILLION)
    • TABLE 42 HPC DATA CENTER ACCELERATOR MARKET, BY REGION, 2018-2020 (USD MILLION)
    • TABLE 43 HPC DATA CENTER ACCELERATOR MARKET, BY REGION, 2021-2026 (USD MILLION)

8 DATA CENTER ACCELERATOR MARKET, BY APPLICATION

  • 8.1 INTRODUCTION
    • FIGURE 25 DATA CENTER ACCELERATOR MARKET, BY APPLICATION
    • FIGURE 26 DATA CENTER ACCELERATOR MARKET FOR ENTERPRISE INFERENCE TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
    • TABLE 44 DATA CENTER ACCELERATOR MARKET, BY APPLICATION, 2018-2020 (USD MILLION)
    • TABLE 45 DATA CENTER ACCELERATOR MARKET, BY APPLICATION, 2021-2026 (USD MILLION)
  • 8.2 DEEP LEARNING TRAINING
    • 8.2.1 DEEP LEARNING USES ARTIFICIAL NEURAL NETWORKS TO LEARN MULTIPLE LEVELS OF DATA
    • TABLE 46 DATA CENTER ACCELERATOR MARKET FOR DEEP LEARNING TRAINING, BY REGION, 2018-2020 (USD MILLION)
    • TABLE 47 DATA CENTER ACCELERATOR MARKET FOR DEEP LEARNING TRAINING, BY REGION, 2021-2026 (USD MILLION)
  • 8.3 PUBLIC CLOUD INFERENCE
    • 8.3.1 BEING ECONOMIC TO USE, PUBLIC CLOUD TO DRIVE THE NEED OF PUBLIC CLOUD SERVICE PROVIDERS
    • TABLE 48 DATA CENTER ACCELERATOR MARKET FOR PUBLIC CLOUD INFERENCE, BY REGION, 2018-2020 (USD MILLION)
    • TABLE 49 DATA CENTER ACCELERATOR MARKET FOR PUBLIC CLOUD INFERENCE, BY REGION, 2021-2026 (USD MILLION)
  • 8.4 ENTERPRISE INFERENCE
    • 8.4.1 COMPANIES SUCH AS IBM TO RAPIDLY FOCUS ON BUILDING SOLUTIONS FOR ENTERPRISE INFERENCE
    • TABLE 50 DATA CENTER ACCELERATOR MARKET FOR ENTERPRISE INFERENCE, BY REGION, 2018-2020 (USD MILLION)
    • TABLE 51 DATA CENTER ACCELERATOR MARKET FOR ENTERPRISE INFERENCE, BY REGION, 2021-2026 (USD MILLION)

9 GEOGRAPHIC ANALYSIS

  • 9.1 INTRODUCTION
    • FIGURE 27 DATA CENTER ACCELERATOR MARKET SEGMENTATION, BY GEOGRAPHY
    • FIGURE 28 GEOGRAPHIC SNAPSHOT: DATA CENTER ACCELERATOR MARKET IN APAC TO GROW AT THE HIGHEST CAGR DURING FORECAST PERIOD
    • FIGURE 29 DATA CENTER ACCELERATOR MARKET IN INDIA TO GROW AT THE HIGHEST CAGR FROM 2021 TO 2026
    • TABLE 52 DATA CENTER ACCELERATOR MARKET, BY REGION, 2018-2020 (USD MILLION)
    • TABLE 53 DATA CENTER ACCELERATOR MARKET, BY REGION, 2021-2026 (USD MILLION)
    • FIGURE 30 DATA CENTER ACCELERATOR MARKET, 2018-2020 (THOUSAND UNITS)
    • FIGURE 31 DATA CENTER ACCELERATOR MARKET, 2021-2026 THOUSAND UNITS)
  • 9.2 NORTH AMERICA
    • FIGURE 32 SEGMENTATION: NORTH AMERICA, BY COUNTRY
    • FIGURE 33 NORTH AMERICA: DATA CENTER ACCELERATOR MARKET SNAPSHOT
    • TABLE 54 DATA CENTER ACCELERATOR MARKET FOR HPC IN NORTH AMERICA, BY COUNTRY, 2018-2020 (USD MILLION)
    • TABLE 55 DATA CENTER ACCELERATOR MARKET FOR HPC IN NORTH AMERICA, BY COUNTRY, 2021-2026 (USD MILLION)
    • TABLE 56 DATA CENTER ACCELERATOR MARKET FOR CLOUD IN NORTH AMERICA, BY COUNTRY, 2018-2020 (USD MILLION)
    • TABLE 57 DATA CENTER ACCELERATOR MARKET FOR CLOUD IN NORTH AMERICA, BY COUNTRY, 2021-2026 (USD MILLION)
    • TABLE 58 DATA CENTER ACCELERATOR MARKET IN NORTH AMERICA, BY PROCESSOR TYPE, 2018-2020 (USD MILLION)
    • TABLE 59 DATA CENTER ACCELERATOR MARKET IN NORTH AMERICA, BY PROCESSOR TYPE, 2021-2026 (USD MILLION)
    • TABLE 60 DATA CENTER ACCELERATOR MARKET IN NORTH AMERICA, BY APPLICATION, 2018-2020 (USD MILLION)
    • TABLE 61 DATA CENTER ACCELERATOR MARKET IN NORTH AMERICA, BY APPLICATION, 2021-2026 (USD MILLION)
    • TABLE 62 DATA CENTER ACCELERATOR MARKET IN NORTH AMERICA, BY TYPE, 2018-2020 (USD MILLION)
    • TABLE 63 DATA CENTER ACCELERATOR MARKET IN NORTH AMERICA, BY TYPE, 2021-2026 (USD MILLION)
    • TABLE 64 DATA CENTER ACCELERATOR MARKET IN NORTH AMERICA, BY COUNTRY, 2018-2020 (USD MILLION)
    • TABLE 65 DATA CENTER ACCELERATOR MARKET IN NORTH AMERICA, BY COUNTRY, 2021-2026 (USD MILLION)
    • 9.2.1 US
      • 9.2.1.1 Large-scale deployment of modular and colocation facilities drives the demand for data centers in the US
    • 9.2.2 CANADA
      • 9.2.2.1 Growing requirement for R&D creates the need for high processing data, thereby boosting market growth
    • 9.2.3 MEXICO
      • 9.2.3.1 Tech companies are considering Mexico a potential market for data centers
  • 9.3 EUROPE
    • FIGURE 34 SEGMENTATION: EUROPE, BY COUNTRY
    • FIGURE 35 EUROPE: DATA CENTER ACCELERATOR MARKET SNAPSHOT
    • TABLE 66 DATA CENTER ACCELERATOR MARKET FOR HPC IN EUROPE, BY COUNTRY, 2018-2020 (USD MILLION)
    • TABLE 67 DATA CENTER ACCELERATOR MARKET FOR HPC IN EUROPE, BY COUNTRY, 2021-2026 (USD MILLION)
    • TABLE 68 DATA CENTER ACCELERATOR MARKET FOR CLOUD IN EUROPE, BY COUNTRY, 2018-2020 (USD MILLION)
    • TABLE 69 DATA CENTER ACCELERATOR MARKET FOR CLOUD IN EUROPE, BY COUNTRY, 2021-2026 (USD MILLION)
    • TABLE 70 DATA CENTER ACCELERATOR MARKET IN EUROPE, BY PROCESSOR TYPE, 2018-2020 (USD MILLION)
    • TABLE 71 DATA CENTER ACCELERATOR MARKET IN EUROPE, BY PROCESSOR TYPE, 2021-2026 (USD MILLION)
    • TABLE 72 DATA CENTER ACCELERATOR MARKET IN EUROPE, BY APPLICATION, 2018-2020 (USD MILLION)
    • TABLE 73 DATA CENTER ACCELERATOR MARKET IN EUROPE, BY APPLICATION, 2021-2026 (USD MILLION)
    • TABLE 74 DATA CENTER ACCELERATOR MARKET IN EUROPE, BY TYPE, 2018-2020 (USD MILLION)
    • TABLE 75 DATA CENTER ACCELERATOR MARKET IN EUROPE, BY TYPE, 2021-2026 (USD MILLION)
    • TABLE 76 DATA CENTER ACCELERATOR MARKET IN EUROPE, BY COUNTRY, 2018-2020 (USD MILLION)
    • TABLE 77 DATA CENTER ACCELERATOR MARKET IN EUROPE, BY COUNTRY, 2021-2026 (USD MILLION)
    • 9.3.1 UK
      • 9.3.1.1 Increasing demand for AI-based solutions to drive the data center accelerator market
    • 9.3.2 GERMANY
      • 9.3.2.1 Cloud computing and Industry 4.0 have led to increased demand for data centers and co-location operators
    • 9.3.3 NETHERLANDS
      • 9.3.3.1 The country is witnessing improvement in the digital infrastructure
    • 9.3.4 REST OF EUROPE
      • 9.3.4.1 Growing investment in Rest of Europe
  • 9.4 APAC
    • FIGURE 36 MARKET SEGMENTATION: APAC, BY COUNTRY
    • FIGURE 37 APAC: DATA CENTER ACCELERATOR MARKET SNAPSHOT
    • TABLE 78 DATA CENTER ACCELERATOR MARKET FOR HPC IN APAC, BY COUNTRY, 2018-2020 (USD MILLION)
    • TABLE 79 DATA CENTER ACCELERATOR MARKET FOR HPC IN APAC, BY COUNTRY, 2021-2026 (USD MILLION)
    • TABLE 80 DATA CENTER ACCELERATOR MARKET FOR CLOUD IN APAC, BY COUNTRY, 2018-2020 (USD MILLION)
    • TABLE 81 DATA CENTER ACCELERATOR MARKET FOR CLOUD IN APAC, BY COUNTRY, 2021-2026 (USD MILLION)
    • TABLE 82 DATA CENTER ACCELERATOR MARKET IN APAC, BY PROCESSOR TYPE, 2018-2020 (USD MILLION)
    • TABLE 83 DATA CENTER ACCELERATOR MARKET IN APAC, BY PROCESSOR TYPE, 2021-2026 (USD MILLION)
    • TABLE 84 DATA CENTER ACCELERATOR MARKET IN APAC, BY APPLICATION, 2018-2020 (USD MILLION)
    • TABLE 85 DATA CENTER ACCELERATOR MARKET IN APAC, BY APPLICATION, 2021-2026 (USD MILLION)
    • TABLE 86 DATA CENTER ACCELERATOR MARKET IN APAC, BY TYPE, 2018-2020 (USD MILLION)
    • TABLE 87 DATA CENTER ACCELERATOR MARKET IN APAC, BY TYPE, 2021-2026 (USD MILLION)
    • TABLE 88 DATA CENTER ACCELERATOR MARKET IN APAC, BY COUNTRY, 2018-2020 (USD MILLION)
    • TABLE 89 DATA CENTER ACCELERATOR MARKET IN APAC, BY COUNTRY, 2021-2026 (USD MILLION)
    • 9.4.1 CHINA
      • 9.4.1.1 The data center accelerator market is growing rapidly in the country
    • 9.4.2 JAPAN
      • 9.4.2.1 Several multinational companies across different end-use industries in the country are implementing AI technology
    • 9.4.3 SINGAPORE
      • 9.4.3.1 Small and mid-sized companies are expected to increase their data center cloud services in the country
    • 9.4.4 INDIA
      • 9.4.4.1 India is witnessing growth in data center operations, owing to the strong demand for IT services from both domestic as well as international markets
    • 9.4.5 AUSTRALIA
      • 9.4.5.1 Cloud computing and increasing demand for data are driving the growth of the colocation sector in the country
    • 9.4.6 REST OF APAC
      • 9.4.6.1 Alibaba Group (China) announced the setting up of a data center in Indonesia
  • 9.5 ROW
    • FIGURE 38 SEGMENTATION: ROW, BY COUNTRY
    • TABLE 90 DATA CENTER ACCELERATOR MARKET FOR HPC IN ROW, BY COUNTRY, 2018-2020 (USD MILLION)
    • TABLE 91 DATA CENTER ACCELERATOR MARKET FOR HPC IN ROW, BY COUNTRY, 2021-2026 (USD MILLION)
    • TABLE 92 DATA CENTER ACCELERATOR MARKET FOR CLOUD IN ROW, BY COUNTRY, 2018-2020 (USD MILLION)
    • TABLE 93 DATA CENTER ACCELERATOR MARKET FOR CLOUD IN ROW, BY COUNTRY, 2021-2026 (USD MILLION)
    • TABLE 94 DATA CENTER ACCELERATOR MARKET IN ROW, BY PROCESSOR TYPE, 2018-2020 (USD MILLION)
    • TABLE 95 DATA CENTER ACCELERATOR MARKET IN ROW, BY PROCESSOR TYPE, 2021-2026 (USD MILLION)
    • TABLE 96 DATA CENTER ACCELERATOR MARKET IN ROW, BY APPLICATION, 2018-2020 (USD MILLION)
    • TABLE 97 DATA CENTER ACCELERATOR MARKET IN ROW, BY APPLICATION, 2021-2026 (USD MILLION)
    • TABLE 98 DATA CENTER ACCELERATOR MARKET IN ROW, BY TYPE, 2018-2020 (USD MILLION)
    • TABLE 99 DATA CENTER ACCELERATOR MARKET IN ROW, BY TYPE, 2021-2026 (USD MILLION)
    • TABLE 100 DATA CENTER ACCELERATOR MARKET IN ROW, BY COUNTRY, 2018-2020 (USD MILLION)
    • TABLE 101 DATA CENTER ACCELERATOR MARKET IN ROW, BY COUNTRY, 2021-2026 (USD MILLION)
    • 9.5.1 BRAZIL
      • 9.5.1.1 Brazil has the largest computing services market in South America, followed by Chile and Argentina
    • 9.5.2 OTHERS
      • 9.5.2.1 Growing demand for AI in healthcare to boost the demand for data center accelerator

10 COMPETITIVE LANDSCAPE

  • 10.1 INTRODUCTION
  • 10.2 REVENUE ANALYSIS OF TOP THREE COMPANIES
    • FIGURE 39 DATA CENTER ACCELERATOR MARKET: REVENUE ANALYSIS (2020) (USD BILLION)
  • 10.3 MARKET SHARE ANALYSIS, 2020
    • TABLE 102 DATA CENTER ACCELERATOR MARKET: MARKET SHARE ANALYSIS (2020)
  • 10.4 COMPETITIVE LEADERSHIP MAPPING
    • 10.4.1 STARS
    • 10.4.2 EMERGING LEADERS
    • 10.4.3 PERVASIVE
    • 10.4.4 PARTICIPANTS
    • FIGURE 40 DATA CENTER ACCELERATOR MARKET: COMPETITIVE LEADERSHIP MAPPING, 2020
    • 10.4.5 DATA CENTER ACCELERATOR MARKET: PRODUCT FOOTPRINT
    • TABLE 103 COMPANY FOOTPRINT
    • TABLE 104 APPLICATION FOOTPRINT OF COMPANIES
    • TABLE 105 REGIONAL FOOTPRINT OF COMPANIES
  • 10.5 SMALL AND MEDIUM ENTERPRISES (SME) EVALUATION QUADRANT, 2020
    • 10.5.1 PROGRESSIVE COMPANIES
    • 10.5.2 RESPONSIVE COMPANIES
    • 10.5.3 DYNAMIC COMPANIES
    • 10.5.4 STARTING BLOCKS
    • FIGURE 41 DATA CENTER ACCELERATOR MARKET (GLOBAL), SME EVALUATION QUADRANT, 2020
  • 10.6 COMPETITIVE SITUATIONS AND TRENDS
    • 10.6.1 DATA CENTER ACCELERATOR MARKET: PRODUCT LAUNCHES, JANUARY 2018- APRIL 2021
    • 10.6.2 DATA CENTER ACCELERATOR MARKET: DEALS, JANUARY 2018- APRIL 2021

11 COMPANY PROFILES

  • 11.1 INTRODUCTION
  • 11.2 KEY PLAYERS
  • (Business overview, Products offered, Recent developments, Product Launches, Deals, MNM view, Key strengths/Right to win, Strategic choices made, and Weaknesses and competitive threats)**
    • 11.2.1 INTEL
    • TABLE 106 INTEL: BUSINESS OVERVIEW
    • FIGURE 42 INTEL: COMPANY SNAPSHOT
    • 11.2.2 NVIDIA
    • TABLE 107 NVIDIA: BUSINESS OVERVIEW
    • FIGURE 43 NVIDIA: COMPANY SNAPSHOT
    • 11.2.3 XILINX
    • TABLE 108 XILINX: BUSINESS OVERVIEW
    • FIGURE 44 XILINX: COMPANY SNAPSHOT
    • 11.2.4 MICRON
    • TABLE 109 MICRON TECHNOLOGY: BUSINESS OVERVIEW
    • FIGURE 45 MICRON TECHNOLOGY: COMPANY SNAPSHOT
    • 11.2.5 AMD
    • TABLE 110 AMD: BUSINESS OVERVIEW
    • FIGURE 46 AMD: COMPANY SNAPSHOT
    • 11.2.6 QUALCOMM
    • TABLE 111 QUALCOMM: BUSINESS OVERVIEW
    • FIGURE 47 QUALCOMM: COMPANY SNAPSHOT
    • 11.2.7 IBM
    • TABLE 112 IBM: BUSINESS OVERVIEW
    • FIGURE 48 IBM: COMPANY SNAPSHOT
    • 11.2.8 GOOGLE
    • TABLE 113 GOOGLE: BUSINESS OVERVIEW
    • FIGURE 49 GOOGLE: COMPANY SNAPSHOT
    • 11.2.9 MARVELL
    • TABLE 114 MARVELL: BUSINESS OVERVIEW
    • FIGURE 50 MARVELL: COMPANY SNAPSHOT
    • 11.2.10 ACHRONIX SEMICONDUCTOR
    • TABLE 115 ACHRONIX SEMICONDUCTOR: BUSINESS OVERVIEW
  • 11.3 OTHER COMPANIES
    • 11.3.1 GRAPHCORE
    • 11.3.2 HUAWEI TECHNOLOGIES
    • 11.3.3 FUJITSU
    • 11.3.4 WAVE COMPUTING
    • 11.3.5 SAMBANOVA
    • 11.3.6 GYRFALCON TECHNOLOGY INC.
    • 11.3.7 NEC
    • 11.3.8 LATTICE SEMICONDUCTOR
    • 11.3.9 ENFLAME TECHNOLOGY
    • 11.3.10 MICROCHIP TECHNOLOGY
    • 11.3.11 LEAP MIND INC.
    • 11.3.12 QNAP SYSTEM INC.
    • 11.3.13 ADVANTECH CO., LTD
    • 11.3.14 SEMPTIAN
    • 11.3.15 BITTWARE
  • *Details on Business overview, Products offered, Recent developments, Product Launches, Deals, MNM view, Key strengths/Right to win, Strategic choices made, and Weaknesses and competitive threats might not be captured in case of unlisted companies.

12 APPENDIX

  • 12.1 INSIGHTS OF INDUSTRY EXPERTS
  • 12.2 DISCUSSION GUIDE
  • 12.3 KNOWLEDGE STORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
  • 12.4 AVAILABLE CUSTOMIZATIONS
  • 12.5 RELATED REPORTS
  • 12.6 AUTHOR DETAILS