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データセンターアクセラレータ市場:処理タイプ毎、タイプ毎(HPCアクセラレータ、クラウドアクセラレータ)、用途毎(深層学習トレーニング、公共クラウドインターフェース、企業インターフェース)、地域毎 - 2023年までの世界市場予測

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 2023

 

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MarketsandMarkets
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2018年8月US$5,650
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幅広い市場に関する調査レポートを出版しているマーケッツアンドマーケッツ(MarketsandMarkets)のデータセンターアクセラレータ市場に関する調査レポートです。

“Data center accelerator market to grow at 49.47% CAGR during 2018–2023”

The data center accelerator market is expected to reach USD 21.19 billion by 2023 from USD 2.84 billion by 2018, at a CAGR of 49.47% from 2018 to 2023. The focus toward parallel computing in AI data centers is a major factor driving the market. However, premium pricing of accelerators is a restraining factor for the data center accelerator market growth.

“Market for FPGA to grow at highest CAGR during forecast period”

The market for FPGA is expected to grow at the highest CAGR during the forecast period owing to the increasing adoption of FPGAs for the acceleration of enterprise workloads. Also, FPGAs are associated with advantages such as rapid prototyping, shorter time-to-market, reprogram ability in the field for debugging, and longevity.

“Market for enterprise interface to grow at highest CAGR during forecast period”

The market for enterprise interface is expected to grow at the highest CAGR during the forecast period. The market for enterprise interface is expected to gain traction in the coming years on the back of the hyper-scale cloud-based companies—such as Google (US), Facebook (US), and Amazon (US)—which are more focused on digital transformation to build similar types of cloud-native applications; this is a key factor contributing to the growth of the market for this application. The cloud-native application development requires a new set of tools, methodologies, and underlying IT infrastructure. With the availability of both open-source and commercial software, the cloud-native architecture has been widely adopted by enterprises.

“Data center accelerator market in APAC to grow at highest CAGR during forecast period”

The market in APAC is expected to grow at the highest CAGR during the forecast period. The growth of the data center accelerator market in APAC is mainly attributed to the organizations in APAC that prefer deploying a hybrid cloud. The organizations are adopting a mix of on-premise, third-party, co-location, private cloud, hosted cloud, and public cloud—depending on nature of workloads, legacy decisions made by the team, budgets, technology maturity within the organization, etc. North America is expected to hold the largest share of the market by 2018. Key reasons attributing to the growth is the increasing demand for sophisticated infrastructure and services in North America, which makes data center owners opt for the ANSI/TIA-942 standard and also, encourages them to continually invest in upgrading their equipment and processes.

Following is the breakdown of primary participants’ profiles by different parameters:

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

Key players operating in the market include NVIDIA (US), Intel (US), Alphabet (US), Advanced Micro Devices (US), Achronix Semiconductor (US), Oracle (US), Xilinx (US), IBM (US), HP (US), Dell (US), Lenovo (China), Fujitsu (Japan), and Cisco (US).

Research Coverage:

The report covers the market segmented on the basis of processor type, application, type, and geography. It offers a detailed view of the market across 4 main regions—North America, Europe, APAC, and RoW (comprising the Middle East and Africa, and South America).

Reasons to Buy the Report:

• This report includes statistics pertaining to the data center accelerator market, by processor type, application, type, and geography.
• The report details the major drivers, restraints, challenges, and opportunities for the data center accelerator market.
• It includes illustrative segmentation, analysis, and forecast for the data center accelerator market based on its segments and subsegments.
 



目次

1 INTRODUCTION 13
1.1 STUDY OBJECTIVES 13
1.2 DEFINITION 13
1.3 STUDY SCOPE 14
1.3.1 MARKETS COVERED 14
1.3.2 GEOGRAPHIC SCOPE 14
1.3.3 YEARS CONSIDERED 15
1.4 CURRENCY 15
1.5 LIMITATIONS 15
1.6 STAKEHOLDERS 16

2 RESEARCH METHODOLOGY 17
2.1 RESEARCH DATA 17
2.1.1 SECONDARY DATA 18
2.1.1.1 Secondary sources 18
2.1.2 PRIMARY DATA 19
2.1.2.1 Key data from primary sources 19
2.1.2.2 Key industry insights 20
2.1.2.3 Breakdown of primaries 20
2.2 MARKET SIZE ESTIMATION 21
2.2.1 BOTTOM-UP APPROACH 21
2.2.2 TOP-DOWN APPROACH 22
2.3 MARKET BREAKDOWN & DATA TRIANGULATION 23
2.4 RESEARCH ASSUMPTIONS 24

3 EXECUTIVE SUMMARY 25

4 PREMIUM INSIGHT 30
4.1 ATTRACTIVE OPPORTUNITIES IN DATA CENTER ACCELERATOR MARKET 30
4.2 DATA CENTER ACCELERATOR MARKET, BY TYPE 30
4.3 MARKET FOR CLOUD DATA CENTER ACCELERATOR, BY COUNTRY 31
4.4 DATA CENTER ACCELERATOR MARKET IN APAC IN 2018, BY COUNTRY & APPLICATION 32
4.5 DATA CENTER ACCELERATOR MARKET FOR DEEP LEARNING TRAINING,
BY PROCESSOR TYPE 32

5 MARKET OVERVIEW 33
5.1 INTRODUCTION 33
5.2 MARKET DYNAMICS 33
5.2.1 DRIVERS 33
5.2.1.1 Growth of cloud-based services 33
5.2.1.2 Growing demand for AI in HPC data centers 34
5.2.1.3 Focus toward parallel computing in AI data centers 34
5.2.2 RESTRAINTS 35
5.2.2.1 Premium pricing of accelerators 35
5.2.2.2 Limited AI hardware experts 35
5.2.3 OPPORTUNITIES 35
5.2.3.1 Rising market for FPGA-based accelerators 35
5.2.3.2 Rising need of coprocessors due to slowdown of Moore’s Law 36
5.2.4 CHALLENGE 36
5.2.4.1 Unreliability of AI algorithms 36
5.2.4.2 Creating models and mechanisms of AI in cloud 37

6 DATA CENTER ACCELERATOR MARKET, BY PROCESSOR TYPE 38
6.1 INTRODUCTION 39
6.2 CPU 40
6.3 GPU 42
6.4 FPGA 44
6.5 ASIC 46

7 DATA CENTER ACCELERATOR MARKET, BY TYPE 48
7.1 INTRODUCTION 49
7.2 CLOUD DATA CENTER 50
7.3 HPC DATA CENTER 52

8 DATA CENTER ACCELERATOR MARKET, BY APPLICATION 54
8.1 INTRODUCTION 55
8.2 DEEP LEARNING TRAINING 56
8.3 PUBLIC CLOUD INFERENCE 57
8.4 ENTERPRISE INFERENCE 59

9 GEOGRAPHIC ANALYSIS 61
9.1 INTRODUCTION 62
9.2 NORTH AMERICA 65
9.2.1 US 67
9.2.2 CANADA 68
9.2.3 MEXICO 68

9.3 EUROPE 69
9.3.1 UK 71
9.3.2 GERMANY 72
9.3.3 THE NETHERLANDS 72
9.3.4 REST OF EUROPE 72
9.4 APAC 73
9.4.1 CHINA 76
9.4.2 JAPAN 76
9.4.3 SINGAPORE 76
9.4.4 INDIA 77
9.4.5 AUSTRALIA 77
9.4.6 REST OF APAC 77
9.5 ROW 78
9.5.1 BRAZIL 80
9.5.2 OTHERS 80

10 COMPETITIVE LANDSCAPE 81
10.1 MARKET RANKING ANALYSIS: DATA CENTER ACCELERATOR MARKET 82
10.2 COMPETITIVE SITUATIONS AND TRENDS 83
10.2.1 PRODUCT/SOLUTION LAUNCHES 83
10.2.2 PARTNERSHIPS/COLLABORATIONS 83
10.2.3 ACQUISITIONS 84
10.2.4 EXPANSIONS 84

11 COMPANY PROFILES 85
(Business Overview, Products Offered, Recent Developments, SWOT Analysis, and MnM View)*
11.1 KEY PLAYERS 85
11.1.1 NVIDIA 85
11.1.2 INTEL 88
11.1.3 ALPHABET 91
11.1.4 ADVANCED MICRO DEVICES (AMD) 94
11.1.5 ACHRONIX SEMICONDUCTOR 97
11.1.6 ORACLE 99
11.1.7 XILINX 101
11.1.8 IBM 103
11.1.9 HEWLETT PACKARD ENTERPRISE (HPE) 105
11.1.10 DELL 107
11.2 OTHER KEY PLAYERS 109
11.2.1 LENOVO 109
11.2.2 FUJITSU 109
11.2.3 CISCO 110

11.3 KEY INNOVATORS 111
11.3.1 LEAP MOTION 111
11.3.2 ALGOLUX 111
11.3.3 CLARIFAI 112
11.3.4 DITTO LABS 112
11.3.5 MAD STREET DEN 113
*Details on Business Overview, Products Offered, Recent Developments, SWOT Analysis, and MnM View might not be captured in case of unlisted companies.

12 APPENDIX 114
12.1 INSIGHTS OF INDUSTRY EXPERTS 114
12.2 DISCUSSION GUIDE 115
12.3 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 118
12.4 AVAILABLE CUSTOMIZATIONS 120
12.5 RELATED REPORTS 120
12.6 AUTHOR DETAILS 121

 

LIST OF TABLES

TABLE 1 DATA CENTER ACCELERATOR MARKET, BY PROCESSOR TYPE,
2016–2023 (USD MILLION) 39
TABLE 2 DATA CENTER ACCELERATOR MARKET FOR CPU, BY APPLICATION,
2016–2023 (USD MILLION) 40
TABLE 3 DATA CENTER ACCELERATOR MARKET FOR CPU, BY TYPE,
2016–2023 (USD MILLION) 40
TABLE 4 DATA CENTER ACCELERATOR MARKET FOR CPU, BY REGION,
2016–2023 (USD MILLION) 41
TABLE 5 DATA CENTER ACCELERATOR MARKET FOR GPU, BY APPLICATION,
2016–2023 (USD MILLION) 42
TABLE 6 DATA CENTER ACCELERATOR MARKET FOR GPU, BY TYPE,
2016–2023 (USD MILLION) 43
TABLE 7 DATA CENTER ACCELERATOR MARKET FOR GPU, BY REGION,
2016–2023 (USD MILLION) 43
TABLE 8 DATA CENTER ACCELERATOR MARKET FOR FPGA, BY APPLICATION,
2016–2023 (USD MILLION) 45
TABLE 9 DATA CENTER ACCELERATOR MARKET FOR FPGA, BY TYPE,
2016–2023 (USD MILLION) 45
TABLE 10 DATA CENTER ACCELERATOR MARKET FOR FPGA, BY REGION,
2016–2023 (USD MILLION) 45
TABLE 11 DATA CENTER ACCELERATOR MARKET FOR ASIC, BY APPLICATION,
2016–2023 (USD MILLION) 46
TABLE 12 DATA CENTER ACCELERATOR MARKET FOR ASIC, BY TYPE,
2016–2023 (USD MILLION) 47
TABLE 13 DATA CENTER ACCELERATOR MARKET FOR ASIC, BY REGION,
2016–2023 (USD MILLION) 47
TABLE 14 DATA CENTER ACCELERATOR MARKET, BY TYPE, 2016–2023 (USD MILLION) 49
TABLE 15 CLOUD DATA CENTER ACCELERATOR MARKET, BY PROCESSOR TYPE,
2016–2023 (USD MILLION) 50
TABLE 16 CLOUD DATA CENTER ACCELERATOR MARKET, BY REGION,
2016–2023 (USD MILLION) 51
TABLE 17 HPC DATA CENTER ACCELERATOR MARKET, BY PROCESSOR TYPE,
2016–2023 (USD MILLION) 53
TABLE 18 HPC DATA CENTER ACCELERATOR MARKET, BY REGION,
2016–2023 (USD MILLION) 53
TABLE 19 DATA CENTER ACCELERATOR MARKET, BY APPLICATION,
2016–2023 (USD MILLION) 55
TABLE 20 DATA CENTER ACCELERATOR MARKET FOR DEEP LEARNING TRAINING,
BY REGION, 2016–2023 (USD MILLION) 56
TABLE 21 DATA CENTER ACCELERATOR MARKET FOR DEEP LEARNING TRAINING,
BY PROCESSORS TYPE, 2016–2023 (USD MILLION) 57
TABLE 22 DATA CENTER ACCELERATOR MARKET FOR PUBLIC CLOUD INFERENCE,
BY REGION, 2016–2023 (USD MILLION) 58
TABLE 23 DATA CENTER ACCELERATOR MARKET FOR PUBLIC CLOUD INFERENCE,
BY PROCESSORS TYPE, 2016–2023 (USD MILLION) 58
TABLE 24 DATA CENTER ACCELERATOR MARKET FOR ENTERPRISE INFERENCE, BY REGION, 2016–2023 (USD MILLION) 59
TABLE 25 DATA CENTER ACCELERATOR MARKET FOR ENTERPRISE INFERENCE,
BY PROCESSORS TYPE, 2016–2023 (USD MILLION) 60
TABLE 26 DATA CENTER ACCELERATOR MARKET, BY REGION, 2016–2023 (USD MILLION) 64
TABLE 27 DATA CENTER ACCELERATOR MARKET FOR HPC IN NORTH AMERICA, BY COUNTRY, 2016–2023 (USD MILLION) 66
TABLE 28 DATA CENTER ACCELERATOR MARKET FOR CLOUD IN NORTH AMERICA,
BY COUNTRY, 2016–2023 (USD MILLION) 66
TABLE 29 DATA CENTER ACCELERATOR MARKET IN NORTH AMERICA, BY PROCESSORS TYPE, 2016–2023 (USD MILLION) 66
TABLE 30 DATA CENTER ACCELERATOR MARKET IN NORTH AMERICA, BY APPLICATION, 2016–2023 (USD MILLION) 67
TABLE 31 DATA CENTER ACCELERATOR MARKET IN NORTH AMERICA, BY TYPE,
2016–2023 (USD MILLION) 67
TABLE 32 DATA CENTER ACCELERATOR MARKET FOR HPC IN EUROPE, BY COUNTRY,
2016–2023 (USD MILLION) 70
TABLE 33 DATA CENTER ACCELERATOR MARKET FOR CLOUD IN EUROPE, BY COUNTRY, 2016–2023 (USD MILLION) 70
TABLE 34 DATA CENTER ACCELERATOR MARKET IN EUROPE, BY PROCESSORS TYPE,
2016–2023 (USD MILLION) 70
TABLE 35 DATA CENTER ACCELERATOR MARKET IN EUROPE, BY APPLICATION,
2016–2023 (USD MILLION) 71
TABLE 36 DATA CENTER ACCELERATOR MARKET IN EUROPE, BY TYPE,
2016–2023 (USD MILLION) 71
TABLE 37 DATA CENTER ACCELERATOR MARKET FOR HPC IN APAC, BY COUNTRY,
2016–2023 (USD MILLION) 74
TABLE 38 DATA CENTER ACCELERATOR MARKET FOR CLOUD IN APAC, BY COUNTRY,
2016–2023 (USD MILLION) 74
TABLE 39 DATA CENTER ACCELERATOR MARKET IN APAC, BY PROCESSOR TYPE,
2016–2023 (USD MILLION) 75
TABLE 40 DATA CENTER ACCELERATOR MARKET IN NORTH AMERICA, BY APPLICATION, 2016–2023 (USD MILLION) 75
TABLE 41 DATA CENTER ACCELERATOR MARKET IN APAC, BY TYPE,
2016–2023 (USD MILLION) 75
TABLE 42 DATA CENTER ACCELERATOR MARKET FOR HPC IN ROW, BY COUNTRY,
2016–2023 (USD MILLION) 78
TABLE 43 DATA CENTER ACCELERATOR MARKET FOR CLOUD IN ROW, BY COUNTRY,
2016–2023 (USD MILLION) 78
TABLE 44 DATA CENTER ACCELERATOR MARKET IN ROW, BY PROCESSORS TYPE,
2016–2023 (USD MILLION) 79
TABLE 45 DATA CENTER ACCELERATOR MARKET IN ROW, BY APPLICATION,
2016–2023 (USD MILLION) 79
TABLE 46 DATA CENTER ACCELERATOR MARKET IN ROW, BY TYPE,
2016–2023 (USD MILLION) 79
TABLE 47 PRODUCT/SOLUTION LAUNCHES, 2017–2018 83
TABLE 48 PARTNERSHIPS/COLLABORATIONS, 2017–2018 83
TABLE 49 ACQUISITIONS, 2018 84
TABLE 50 EXPANSIONS, 2016–2018 84

 

LIST OF FIGURES

FIGURE 1 SEGMENTATION OF DATA CENTER ACCELERATOR MARKET 14
FIGURE 2 RESEARCH DESIGN 17
FIGURE 3 PROCESS FLOW OF MARKET SIZE ESTIMATION 21
FIGURE 4 DATA TRIANGULATION 23
FIGURE 5 GPU TO HOLD LARGEST SIZE OF DATA CENTER ACCELERATOR MARKET DURING FORECAST PERIOD 26
FIGURE 6 DATA CENTER ACCELERATOR MARKET FOR ENTERPRISE INFERENCE TO GROW AT HIGHEST CAGR BETWEEN 2018 AND 2023 26
FIGURE 7 MARKET FOR HPC DATA CENTER ACCELERATOR IN APAC TO GROW AT HIGHEST CAGR DURING 2018–2023 27
FIGURE 8 MARKET FOR CLOUD DATA CENTER ACCELERATOR IN APAC TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 28
FIGURE 9 DATA CENTER ACCELERATOR MARKET IN APAC EXPECTED TO GROW AT HIGHEST CAGR DURING 2018–2023 29
FIGURE 10 RISING NEED OF COPROCESSORS IN DATA CENTERS DUE TO SLOW DOWN IN MOORE’S LAW AS POTENTIAL OPPORTUNITY FOR MARKET 30
FIGURE 11 MARKET FOR HPC DATA CENTER ACCELERATOR TO GROW AT HIGHER CAGR DURING FORECAST PERIOD 30
FIGURE 12 CLOUD DATA CENTER ACCELERATOR MARKET IN CANADA TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 31
FIGURE 13 DEEP LEARNING TRAINING TO HOLD LARGEST SHARE OF DATA CENTER ACCELERATOR MARKET IN APAC IN 2018 32
FIGURE 14 MARKET FOR ASIC IN DEEP LEARNING TRAINING TO GROW AT HIGHER CAGR BETWEEN 2018 AND 2023 32
FIGURE 15 DATA CENTER ACCELERATOR MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES 33
FIGURE 16 SLOW DOWN IN MOORE’S LAW 36
FIGURE 17 DATA CENTER ACCELERATOR MARKET, BY PROCESSOR TYPE 39
FIGURE 18 DATA CENTER ACCELERATOR MARKET FOR CPU IN APAC TO GROW AT THE HIGHEST CAGR DURING FORECAST PERIOD 41
FIGURE 19 CLOUD DATA CENTER TO HOLD LARGEST SIZE OF DATA CENTER ACCELERATOR MARKET FOR GPU DURING FORECAST PERIOD 43
FIGURE 20 FPGA MARKET FOR PUBLIC CLOUD INFERENCE TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 44
FIGURE 21 ASIC MARKET FOR ENTERPRISE INFERENCE TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 46
FIGURE 22 DATA CENTER ACCELERATOR MARKET, BY TYPE 49
FIGURE 23 CLOUD DATA CENTER ACCELERATOR MARKET IN APAC EXPECTED TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 51
FIGURE 24 GPU TO HOLD LARGEST SIZE OF HPC DATA CENTER ACCELERATOR MARKET DURING FORECAST PERIOD 52
FIGURE 25 DATA CENTER ACCELERATOR MARKET, BY APPLICATION 55
FIGURE 26 DEEP LEARNING TRAINING: MARKET FOR ASIC TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 56
FIGURE 27 NORTH AMERICA TO HOLD LARGEST SIZE OF DATA CENTER ACCELERATOR MARKET FOR PUBLIC CLOUD INFERENCE DURING FORECAST PERIOD 57
FIGURE 28 ENTERPRISE INFERENCE: MARKET FOR FPGA TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 59
FIGURE 29 DATA CENTER ACCELERATOR MARKET SEGMENTATION, BY GEOGRAPHY 62
FIGURE 30 GEOGRAPHIC SNAPSHOT: DATA CENTER ACCELERATOR MARKET IN APAC EXPECTED TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 63
FIGURE 31 DATA CENTER ACCELERATOR MARKET IN INDIA ESTIMATED TO GROW AT
HIGHEST CAGR FROM 2018 TO 2023 64
FIGURE 32 NORTH AMERICA: DATA CENTER ACCELERATOR MARKET SNAPSHOT 65
FIGURE 33 EUROPE: DATA CENTER ACCELERATOR MARKET SNAPSHOT 69
FIGURE 34 APAC: DATA CENTER ACCELERATOR MARKET SNAPSHOT 73
FIGURE 35 KEY GROWTH STRATEGIES ADOPTED BY TOP COMPANIES, 2015–2017 81
FIGURE 36 RANKING OF THE TOP 5 PLAYERS IN DATA CENTER ACCELERATOR
MARKET, (2017) 82
FIGURE 37 NVIDIA: COMPANY SNAPSHOT 86
FIGURE 38 INTEL: COMPANY SNAPSHOT 88
FIGURE 39 ALPHABET: COMPANY SNAPSHOT 91
FIGURE 40 ADVANCED MICRO DEVICES (AMD): COMPANY SNAPSHOT 94
FIGURE 41 ORACLE: COMPANY SNAPSHOT 99
FIGURE 42 XILINX: COMPANY SNAPSHOT 101
FIGURE 43 IBM: COMPANY SNAPSHOT 103
FIGURE 44 HPE: COMPANY SNAPSHOT 105
FIGURE 45 DELL: COMPANY SNAPSHOT 107
 

 

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プレスリリース

[プレスリリース原文]

Data Center Accelerator Market worth $21.19 billion by 2023


August 27, 2018

According to the recent research report "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 2023", the data center accelerator market is expected to be valued at USD 2.84 billion by 2018 and is expected to reach USD 21.19 billion by 2023, at a CAGR of 49.47% from 2018 to 2023.

The shifting focus toward parallel computing in AI data centers and growth of cloud-based services are among the factors driving the growth of the data center accelerator market. A growing number of tech giants and start-ups have begun offering machine learning as a cloud service due to the burgeoning demand for AI-based computation. Cloud-based solutions are ideal for small and midsized businesses that find on-premise solutions costlier. Thus, the increasing adoption of cloud-based technology is necessitating the need for deep learning.

Deep learning training to hold largest share during forecast period

The key factor driving the growth of the data center accelerator market for deep learning training is the increasing use of the technology in various applications such as voice recognition, fraud detection, voice search, recommendation engines, sentiment analysis, image recognition, and motion detection. Also, the companies such as Amazon Web Services (US) and Microsoft (US) have developed a deep learning interface, which can be used to prototype, build, train, and deploy machine learning models for cloud and mobile apps.

GPU held largest share of market based on processor type in 2017

The key factor driving the growth of data center accelerator market is the focus on parallel computing in AI data centers. Deep neural networks and machine learning would require parallel computing solutions that can speed up 90% of algorithms in AI. GPUs are suitable for parallel computing because of their parallel architecture with thousands of cores within, which enable them to handle multiple instructions concurrently. Parallel computing model is ideal for implementing deep learning training and interface as artificial neural networks principally work more efficiently with a parallel computing framework.

North America held largest share for data center accelerator market in 2017

North America held the largest market share in 2017. The growing trend of cloud computing has radically increased the economic impact of data center investments made by leading service providers, such as Amazon (US), Facebook (US), Google (US), and Microsoft (US).  Also, there is a demand for sophisticated infrastructure and services in North America, which encourages the owners of data centers to opt for the ANSI/TIA-942 standard and also, continually, invest in upgrading their equipment and processes.

Major players operating in the data center accelerator market include NVIDIA (US), Intel (US), Alphabet (US), Advanced Micro Devices (US), Achronix Semiconductor (US), Oracle (US), Xilinx (US), IBM (US), HP (US), Dell (US), Lenovo (China), Fujitsu (Japan), and Cisco (US).

 

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