AIインフラストラクチャの世界市場(~2026年):提供別(ハードウェア、ソフトウェア)、技術別(機械学習、ディープラーニング)、機能別(トレーニング、推論)、展開タイプ別(オンプレミス、クラウド)、エンドユーザー別、地域別

調査会社MarketsandMarkets社が発行したリサーチレポート(データ管理コード:SE7201)
◆英語タイトル:AI Infrastructure Market with COVID-19 Impact Analysis by Offering (Hardware, Software), Technology (Machine Learning, Deep Learning), Function (Training, Inference), Deployment Type (On-Premises, Cloud), End User, and Region - Global Forecast to 2026
◆発行会社/調査会社:MarketsandMarkets
◆商品コード:SE7201
◆発行日:2021年7月20日
◆調査対象地域:グローバル
◆産業分野:IT
◆ページ数:231
◆レポート言語:英語
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★グローバルリサーチ資料[AIインフラストラクチャの世界市場(~2026年):提供別(ハードウェア、ソフトウェア)、技術別(機械学習、ディープラーニング)、機能別(トレーニング、推論)、展開タイプ別(オンプレミス、クラウド)、エンドユーザー別、地域別]についてメールでお問い合わせはこちら
マーケッツアンドマーケッツ社は、AIインフラストラクチャの世界市場規模が2021年237億ドルから2026年793億ドルまで、年平均27.3%成長すると予測しています。本調査レポートは、世界のAIインフラストラクチャ市場について調査し、イントロダクション、調査手法、エグゼクティブサマリー、プレミアムインサイト、市場概要、提供別(ハードウェア、サーバーソフトウェア)分析、技術別(機械学習、ディープラーニング)分析、機能別(トレーニング、推論)分析、展開タイプ別(オンプレミス、クラウド、ハイブリッド)分析、地域別分析、競争状況、企業情報など、以下の構成でまとめております。
・イントロダクション
・調査手法
・エグゼクティブサマリー
・プレミアムインサイト
・市場概要
・AIインフラストラクチャの世界市場規模:提供別(ハードウェア、サーバーソフトウェア)
・AIインフラストラクチャの世界市場規模:技術別(機械学習、ディープラーニング)
・AIインフラストラクチャの世界市場規模:機能別(トレーニング、推論)
・AIインフラストラクチャの世界市場規模:展開タイプ別(オンプレミス、クラウド、ハイブリッド)
・AIインフラストラクチャの世界市場規模:地域別
・競争状況
・企業情報
*** レポート概要(サマリー)***

“The AI infrastructure market is expected to grow from USD 23.7 billion in 2021 to USD 79.3 billion by 2026, at a CAGR of 27.3%.”
Increased data traffic and need for high computing power, increasing adoption of cloud machine learning platform, increasingly large and complex dataset, rising focus on parallel computing in AI data centers, and growing number of cross-industry partnerships and collaborations —are the key factors driving the AI infrastructure market. However, lack of AI hardware experts and skilled workforce may create hurdles for the market.
The COVID-19 pandemic is an accelerator for AI technology, helping people around the world get more and more comfortable with leveraging these tools for many applications, including healthcare. The adoption of remote patient monitoring, decoding genomic sequence for drug development, healthcare chatbots, and enhancement of CT scans using AI technology in diagnosis is expected to gain momentum during and after the COVID-19 pandemic.
Post-COVID-19, the manufacturing sector is expected to adopt smart manufacturing processes using AI, IoT, and blockchain technologies. Companies can reduce costs, increase process efficiency, and reduce human contact significantly by adopting these technologies. Currently, AI is being used for predictive maintenance and will further be implemented to forecast demand and returns in the supply chain.

“Market for server software is expected to have a gradual growth during the forecast period”
In the past three years, most developments have been witnessed in AI software and related software development kits. The software integrated into existing computer systems carries out complex operations. It synthesizes the data received from the hardware systems and processes it in an AI system to generate an intelligent response. The software itself can run the specific application without using any additional hardware.

“Training function is expected to grow at a faster CAGR during the forecast period”
The process of training an AI model involves providing the learning algorithm with training data to learn from. Training is computationally intensive and is best accelerated with GPUs. Using even a small dataset, the time taken to go through all the training samples can be reduced when using GPU compared to CPU. Hence, training function is expected to grow at a faster CAGR during the forecast period.

“Enterprises to play a crucial role during the forecast period”
High technological developments across various data centers of enterprises have generated and stored large volumes of data. The complexities within the IT infrastructure encourage these data centers to adopt virtualization technology, thereby fueling the growth of enterprise data centers. The utilization of advanced big data solutions for operational data explosion is impacting the future requirements for AI-based servers.

“APAC is expected to register the highest CAGR in the market during the forecast period”
The deployment of cloud-based services on a large scale is likely to usher in digital transformation in the APAC region. Increased demand for AI data centers and cloud resources led to the development of large-scale public cloud data centers. The demand for AI data centers in China has exceeded the available supply as organizations seek enhanced connectivity and scalable solutions for their growing businesses.
North America accounted for the largest share of the AI infrastructure market in 2020. The US and Canada are expected to adopt AI-based servers at a high rate. These countries are technologically developed economies in North America owing to their strong focus on investing in R&D activities for the development of new technologies.

Breakdown of primary participants:
• By Company Type: Tier 1 = 15%, Tier 2 = 50%, and Tier 3 = 35%
• By Designation: C-Level Executives = 45%, Directors = 35%, and Others = 20%
• By Region: North America = 45%, Europe = 35%, APAC = 12%, South America= 3%, Middle East & Africa = 5%,

Some of the major players in the AI infrastructure market include Intel Corporation (US), NVIDIA Corporation (US), IBM (US), Xilinx (US), Advanced Micro Devices (AMD) (US), Samsung Electronics (South Korea), Micron Technology (US), Google (US), Microsoft (US), Amazon Web Services (US), and so on.

Research Coverage:
In this report, the AI infrastructure market has been segmented on the basis of offering, technology, function, deployment type, end user, and geography. The report also discusses the drivers, restraints, opportunities, and challenges pertaining to the market. It gives a detailed view of the market across four main regions—North America, Europe, APAC, and RoW. Value chain analysis has been included in the report, along with the key players and their competitive analysis in the AI infrastructure ecosystem.

Key Benefits to Buy the Report:
• This report includes statistics for the AI infrastructure market based on offering, technology, function, deployment type, end user, and geography, along with their respective market sizes.
• Value chain analysis and key industry trends have been provided for the market.
• Major drivers, restraints, opportunities, and challenges for the AI infrastructure market have been provided in detail in this report.
• This report would help stakeholders to understand their competitors better and gain more insights to enhance their position in the market. The competitive landscape section includes the competitor ecosystem and the recent development strategies adopted by the key players in the market, such as product launches/developments, contracts/partnerships/agreements/acquisitions.

*** レポート目次(コンテンツ)***

1 INTRODUCTION 30
1.1 STUDY OBJECTIVES 30
1.2 MARKET DEFINITION AND SCOPE 30
1.2.1 INCLUSIONS AND EXCLUSIONS 31
1.3 STUDY SCOPE 32
1.3.1 MARKETS COVERED 32
FIGURE 1 AI INFRASTRUCTURE MARKET: SEGMENTATION 32
1.3.2 GEOGRAPHIC SCOPE 33
1.3.3 YEARS CONSIDERED 33
1.4 CURRENCY 33
1.5 PACKAGE SIZE 34
1.6 STAKEHOLDERS 34
1.7 SUMMARY OF CHANGES 34
2 RESEARCH METHODOLOGY 36
2.1 RESEARCH DATA 36
FIGURE 2 AI INFRASTRUCTURE MARKET: PROCESS FLOW OF MARKET SIZE ESTIMATION 36
FIGURE 3 AI INFRASTRUCTURE MARKET: RESEARCH DESIGN 37
2.1.1 SECONDARY AND PRIMARY RESEARCH 38
2.1.2 SECONDARY DATA 38
2.1.2.1 Major secondary sources 39
2.1.2.2 Secondary Sources 39
2.1.3 PRIMARY DATA 40
2.1.3.1 Key participants in primary processes across the value chain of
the AI infrastructure market 40
2.1.3.2 Breakdown of primaries 40
2.1.3.3 Key industry insights 41
2.2 GROWTH RATE ASSUMPTIONS 41
2.2.1 SUPPLY-SIDE 41
2.2.2 DEMAND-SIDE 42
2.3 MARKET SIZE ESTIMATION 42
2.3.1 BOTTOM-UP APPROACH 42
2.3.1.1 Approach for capturing market share by bottom-up analysis (demand-side) 42
FIGURE 4 BOTTOM-UP APPROACH 43
FIGURE 5 MARKET SIZE CALCULATION BY BOTTOM-UP APPROACH 43
2.3.2 TOP-DOWN APPROACH 44
2.3.2.1 Approach for capturing market share by top-down analysis
(supply side) 44
FIGURE 6 TOP-DOWN APPROACH 44
FIGURE 7 MARKET SIZE CALCULATION BY TOP-DOWN APPROACH 45
2.4 MARKET BREAKDOWN AND DATA TRIANGULATION 46
FIGURE 8 DATA TRIANGULATION 46
2.5 ASSUMPTIONS 47
2.6 LIMITATIONS 48
2.7 RISK ASSESSMENT 48
3 EXECUTIVE SUMMARY 49
FIGURE 9 AI INFRASTRUCTURE MARKET, 2017–2026 (USD BILLION) 50
FIGURE 10 HARDWARE ESTIMATED TO HOLD LARGER SHARE OF AI INFRASTRUCTURE MARKET IN 2021 50
FIGURE 11 AI INFRASTRUCTURE MARKET, BY END USER, 2021 VS. 2026 (USD BILLION) 51
FIGURE 12 AI INFRASTRUCTURE MARKET, BY REGION, 2021–2026 52
3.1 IMPACT OF COVID-19 ON AI INFRASTRUCTURE MARKET 52
FIGURE 13 IMPACT OF COVID-19 ON AI INFRASTRUCTURE MARKET 53
3.1.1 REALISTIC SCENARIO (POST-COVID-19) 53
3.1.2 OPTIMISTIC SCENARIO (POST-COVID-19) 53
3.1.3 PESSIMISTIC SCENARIO (POST-COVID-19) 53
4 PREMIUM INSIGHTS 54
4.1 ATTRACTIVE OPPORTUNITIES IN AI INFRASTRUCTURE MARKET 54
FIGURE 14 INCREASING ADOPTION OF CLOUD MACHINE LEARNING AND DEMAND FOR AI HARDWARE IN HIGH-PERFORMANCE COMPUTING DATA CENTERS EXPECTED TO DRIVE MARKET 54
4.2 AI INFRASTRUCTURE HARDWARE MARKET, BY TYPE 54
FIGURE 15 MEMORY EXPECTED TO GROW AT THE HIGHEST CAGR FROM 2021 TO 2026 54
4.3 AI INFRASTRUCTURE MARKET, BY FUNCTION 55
FIGURE 16 INFERENCE FUNCTION EXPECTED TO LEAD THE MARKET DURING FORECAST PERIOD 55
4.4 AI INFRASTRUCTURE MARKET, BY END USER AND REGION 55
FIGURE 17 CLOUD SERVICE PROVIDERS AND CHINA EXPECTED TO ACCOUNT FOR THE LARGEST SHARE OF THE MARKET DURING THE FORECAST PERIOD 55
4.5 AI INFRASTRUCTURE MARKET, BY TECHNOLOGY 56
FIGURE 18 DEEP LEARNING IS PROJECTED TO LEAD THE MARKET FROM 2021 TO 2026 56
4.6 AI INFRASTRUCTURE MARKET, BY COUNTRY 56
FIGURE 19 AI INFRASTRUCTURE MARKET IN CHINA IS EXPECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD 56
5 MARKET OVERVIEW 57
5.1 INTRODUCTION 57
5.2 MARKET DYNAMICS 57
FIGURE 20 AI INFRASTRUCTURE MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES 57

5.2.1 DRIVERS 58
5.2.1.1 Increased data traffic and need for high computing power 58
FIGURE 21 IP TRAFFIC GROWTH PROJECTIONS UNTIL 2021 59
5.2.1.2 Increasing adoption of cloud machine learning platform 59
5.2.1.3 Increasingly large and complex dataset 60
TABLE 1 AVERAGE NUMBER OF CONNECTED DEVICES PER CAPITA (2018–2023) 60
5.2.1.4 Rising focus on parallel computing in AI data centers 61
5.2.1.5 Growing number of cross-industry partnerships and collaborations 61
TABLE 2 RECENT DEVELOPMENTS PERTAINING TO INDUSTRY PARTNERSHIPS 62
5.2.2 RESTRAINTS 62
5.2.2.1 Lack of AI hardware experts and skilled workforce 62
FIGURE 22 UNDERQUALIFIED WORKERS IN VARIOUS COUNTRIES, 2019 63
5.2.3 OPPORTUNITIES 63
5.2.3.1 Surging demand for FPGA-based accelerators 63
TABLE 3 RECENT DEVELOPMENTS IN FPGA 64
5.2.3.2 Rising need for co-processors due to slowdown of Moore’s Law 64
5.2.3.3 Growing potential of AI-based tools for elderly care 64
5.2.4 CHALLENGES 65
5.2.4.1 Concerns regarding data privacy in AI platforms 65
FIGURE 23 PERCENTAGE AND TYPES OF HEALTHCARE BREACHES REPORTED BY
THE US DEPARTMENT OF HEALTH AND HUMAN SERVICES 65
5.2.4.2 Unreliability of AI algorithms 66
5.2.4.3 Availability of limited structured data to train and develop
efficient AI systems 66
5.3 AI INFRASTRUCTURE MARKET: COVID-19 IMPACT 66
5.4 TRENDS/DISRUPTIONS IMPACTING CUSTOMER’S BUSINESS 68
FIGURE 24 REVENUE SHIFT FOR AI INFRASTRUCTURE MARKET 68
5.5 PRICING ANALYSIS 68
FIGURE 25 ASP OF PROCESSOR TYPES IN AI INFRASTRUCTURE MARKET, 2017-2026 69
TABLE 4 ASP RANGE OF PROCESSOR TYPES IN AI INFRASTRUCTURE
MARKET, 2017-2026 69
TABLE 5 ASP RANGE OF SERVER SOFTWARE IN AI INFRASTRUCTURE MARKET 69
5.6 VALUE CHAIN ANALYSIS 70
FIGURE 26 VALUE CHAIN FOR AI INFRASTRUCTURE MARKET 70
5.7 ECOSYSTEM OF THE AI MARKET 71
FIGURE 27 ECOSYSTEM 71
TABLE 6 ROLE OF COMPANIES IN ECOSYSTEM/VALUE CHAIN 72
5.8 TECHNOLOGY ANALYSIS 73
TABLE 7 COMPARISON OF AI CHIP TYPE 73
5.8.1 CLOUD GPU 73
5.9 PATENT ANALYSIS 74
TABLE 8 PATENTS FILED, 2018-2021 74
FIGURE 28 LIST OF MAJOR PATENT OWNERS FOR ARTIFICIAL INTELLIGENCE 74
5.9.1 LIST OF MAJOR PATENTS 75
TABLE 9 LIST OF MAJOR PATENTS IN THE AI INFRASTRUCTURE MARKET 75
5.10 TRADE ANALYSIS 77
TABLE 10 EXPORTS DATA, BY COUNTRY, 2015–2019 (USD MILLION) 77
FIGURE 29 EXPORTS DATA FOR HS CODE 854231 FOR TOP FIVE COUNTRIES IN
AI INFRASTRUCTURE MARKET, 2015–2019 (THOUSAND UNITS) 77
TABLE 11 IMPORTS DATA, BY COUNTRY, 2015–2019 (USD MILLION) 78
FIGURE 30 IMPORTS DATA FOR HS CODE 854231 FOR TOP FIVE COUNTRIES IN
AI INFRASTRUCTURE MARKET, 2015–2019 (THOUSAND UNITS) 78
5.11 CASE STUDY ANALYSIS 79
5.11.1 KIA MOTORS AMERICA RELIED ON ADVANCED ANALYTICS AND AI SOLUTIONS FROM SAS 79
5.11.2 VULCAN AI USES AI VISION AND DEEP LEARNING TO CREATE A SAFER WORKPLACE 79
5.11.3 ACCENTURE, ALONG WITH MICROSOFT, WORKED FOR THE GOVERNMENT OF INDIA TO DEVELOP AN AI TOOL FOR PANDEMIC 80
5.12 TARIFF AND REGULATORY LANDSCAPE 80
TABLE 12 TARIFF FOR ELECTRONIC INTEGRATED CIRCUITS AS PROCESSORS AND CONTROLLERS EXPORTED BY US, 2020 80
TABLE 13 TARIFF FOR ELECTRONIC INTEGRATED CIRCUITS AS PROCESSORS AND CONTROLLERS EXPORTED BY CHINA, 2020 81
TABLE 14 TARIFF FOR ELECTRONIC INTEGRATED CIRCUITS AS PROCESSORS AND CONTROLLERS EXPORTED BY GERMANY, 2020 81
5.12.1 REGULATIONS 81
5.12.1.1 Export-import Regulations 82
5.12.1.2 Restriction of Hazardous Substances (ROHS) and Waste Electrical and Electronic Equipment (WEEE) 82
5.12.1.3 Registration, Evaluation, Authorization, and Restriction of Chemicals (REACH) 83
5.12.1.4 General Data Protection Regulation (GDPR) 83
5.13 PORTER’S FIVE FORCES ANALYSIS 84
TABLE 15 PORTER’S FIVE FORCES IMPACT ON THE AI INFRASTRUCTURE MARKET 84
FIGURE 31 AI INFRASTRUCTURE MARKET: PORTER’S FIVE FORCES ANALYSIS 84
5.13.1 THREAT OF NEW ENTRANTS 85
5.13.2 THREAT OF SUBSTITUTES 85
5.13.3 BARGAINING POWER OF SUPPLIERS 85
5.13.4 BARGAINING POWER OF BUYERS 85
5.13.5 INTENSITY OF COMPETITION RIVALRY 85
6 AI INFRASTRUCTURE MARKET, BY OFFERING 86
6.1 INTRODUCTION 87
FIGURE 32 HARDWARE OFFERINGS EXPECTED TO LEAD AI INFRASTRUCTURE MARKET FROM 2021–2026 87
TABLE 16 AI INFRASTRUCTURE MARKET, BY OFFERING, 2017–2020 (USD BILLION) 87
TABLE 17 AI INFRASTRUCTURE MARKET, BY OFFERING, 2021–2026 (USD BILLION) 87
6.2 HARDWARE 88
FIGURE 33 MEMORY PROJECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD 88
TABLE 18 HARDWARE IN AI INFRASTRUCTURE MARKET, BY TYPE,
2017–2020 (USD BILLION) 88
TABLE 19 HARDWARE IN AI INFRASTRUCTURE MARKET, BY TYPE,
2021–2026 (USD BILLION) 88
TABLE 20 HARDWARE IN AI INFRASTRUCTURE MARKET, BY DEPLOYMENT TYPE,
2017–2020 (USD BILLION) 89
TABLE 21 HARDWARE IN AI INFRASTRUCTURE MARKET, BY DEPLOYMENT TYPE,
2021–2026 (USD BILLION) 89
TABLE 22 HARDWARE IN AI INFRASTRUCTURE MARKET, BY FUNCTION,
2017–2020 (USD BILLION) 89
TABLE 23 HARDWARE IN AI INFRASTRUCTURE MARKET, BY FUNCTION,
2021–2026 (USD BILLION) 89
TABLE 24 HARDWARE IN AI INFRASTRUCTURE MARKET, BY TECHNOLOGY,
2017–2020 (USD BILLION) 90
TABLE 25 AI INFRASTRUCTURE MARKET FOR HARDWARE OFFERINGS,
BY TECHNOLOGY, 2021–2026 (USD BILLION) 90
TABLE 26 HARDWARE IN AI INFRASTRUCTURE MARKET, BY END USER,
2017–2020 (USD BILLION) 90
TABLE 27 HARDWARE IN AI INFRASTRUCTURE MARKET, BY END USER,
2021–2026 (USD BILLION) 90
6.2.1 PROCESSOR 91
TABLE 28 PROCESSORS IN AI INFRASTRUCTURE MARKET, BY TYPE,
2017–2020 (USD BILLION) 91
TABLE 29 PROCESSORS IN AI INFRASTRUCTURE MARKET, BY TYPE,
2021–2026 (USD BILLION) 91
TABLE 30 PROCESSORS IN AI INFRASTRUCTURE MARKET, BY TYPE,
2017–2020 (THOUSAND UNITS) 92
TABLE 31 PROCESSORS IN AI INFRASTRUCTURE MARKET, BY TYPE,
2021–2026 (THOUSAND UNITS) 92
6.2.1.1 CPU 92
6.2.1.1.1 CPU to account for the largest share of AI infrastructure processor market during the forecast period 92
6.2.1.2 GPU 92
6.2.1.2.1 NVIDIA is a key provider of GPUs for AI infrastructure 92
6.2.1.3 FPGA 93
6.2.1.3.1 Xilinx and Intel are major providers of FPGAs for
AI infrastructure 93
6.2.1.4 ASIC 93
6.2.1.4.1 ASIC is expected to grow at the highest CAGR during the forecast period 93
6.2.2 MEMORY 94
6.2.2.1 High-bandwidth memory, independent of its computing architecture, is developed and deployed for AI applications 94

6.2.3 STORAGE 94
6.2.3.1 Artificial intelligence, along with analytics tools, is used in sorting necessary and unessential data 94
6.2.4 NETWORKING 95
6.2.4.1 NVIDIA, CISCO, and Intel are key providers of network interconnect adapters for AI applications 95
6.3 SERVER SOFTWARE 95
6.3.1 SOFTWARE INTEGRATED INTO EXISTING COMPUTER SYSTEMS CARRIES OUT COMPLEX OPERATIONS 95
TABLE 32 SERVER SOFTWARE IN AI INFRASTRUCTURE MARKET, BY DEPLOYMENT TYPE, 2017–2020 (USD BILLION) 96
TABLE 33 SERVER SOFTWARE IN AI INFRASTRUCTURE MARKET, BY DEPLOYMENT TYPE, 2021–2026 (USD BILLION) 96
TABLE 34 SERVER SOFTWARE IN AI INFRASTRUCTURE MARKET, BY FUNCTION,
2017–2020 (USD BILLION) 96
TABLE 35 SERVER SOFTWARE IN AI INFRASTRUCTURE MARKET, BY FUNCTION,
2021–2026 (USD BILLION) 96
TABLE 36 SERVER SOFTWARE IN AI INFRASTRUCTURE MARKET, BY TECHNOLOGY, 2017–2020 (USD BILLION) 97
TABLE 37 SERVER SOFTWARE IN AI INFRASTRUCTURE MARKET, BY TECHNOLOGY, 2021–2026 (USD BILLION) 97
TABLE 38 SERVER SOFTWARE IN AI INFRASTRUCTURE MARKET, BY END USER,
2017–2020 (USD BILLION) 97
TABLE 39 SERVER SOFTWARE IN AI INFRASTRUCTURE MARKET, BY END USER,
2021–2026 (USD BILLION) 97
7 AI INFRASTRUCTURE MARKET, BY TECHNOLOGY 98
7.1 INTRODUCTION 99
FIGURE 34 DEEP LEARNING TECHNOLOGY IN AI INFRASTRUCTURE MARKET EXPECTED TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD 99
TABLE 40 AI INFRASTRUCTURE MARKET, BY TECHNOLOGY, 2017–2020 (USD BILLION) 99
TABLE 41 AI INFRASTRUCTURE MARKET, BY TECHNOLOGY, 2021–2026 (USD BILLION) 99
7.2 MACHINE LEARNING 100
7.2.1 MACHINE LEARNING ENABLES SYSTEMS TO AUTOMATICALLY IMPROVE THEIR PERFORMANCE WITH EXPERIENCES 100
TABLE 42 AI INFRASTRUCTURE MARKET FOR MACHINE LEARNING, BY OFFERING, 2017–2020 (USD BILLION) 101
TABLE 43 AI INFRASTRUCTURE MARKET FOR MACHINE LEARNING, BY OFFERING, 2021–2026 (USD BILLION) 101
7.3 DEEP LEARNING 101
7.3.1 DEEP LEARNING USES ARTIFICIAL NEURAL NETWORKS TO LEARN MULTIPLE LEVELS OF DATA 101
TABLE 44 AI INFRASTRUCTURE MARKET FOR DEEP LEARNING, BY OFFERING,
2017–2020 (USD BILLION) 102
TABLE 45 AI INFRASTRUCTURE MARKET FOR DEEP LEARNING, BY OFFERING,
2021–2026 (USD BILLION) 102

8 AI INFRASTRUCTURE MARKET, BY FUNCTION 103
8.1 INTRODUCTION 104
FIGURE 35 AI INFRASTRUCTURE MARKET FOR TRAINING FUNCTION IS EXPECTED TO GROW AT HIGHER CAGR DURING THE FORECAST PERIOD 104
TABLE 46 AI INFRASTRUCTURE MARKET, BY FUNCTION, 2017–2020 (USD BILLION) 104
TABLE 47 AI INFRASTRUCTURE MARKET, BY FUNCTION, 2021–2026 (USD BILLION) 104
8.2 TRAINING 105
8.2.1 TRAINING IS COMPUTATIONALLY INTENSIVE AND IS BEST ACCELERATED WITH GPUS 105
TABLE 48 AI INFRASTRUCTURE MARKET FOR TRAINING, BY OFFERING,
2017–2020 (USD BILLION) 105
TABLE 49 AI INFRASTRUCTURE MARKET FOR TRAINING, BY OFFERING,
2021–2026 (USD BILLION) 105
8.3 INFERENCE 105
8.3.1 ON-PREMISES INFERENCE PLATFORM IS ADOPTED TO GAIN FASTER RESULTS THAN THAT OF THE CLOUD 105
TABLE 50 AI INFRASTRUCTURE MARKET FOR INFERENCE, BY OFFERING,
2017–2020 (USD BILLION) 106
TABLE 51 AI INFRASTRUCTURE MARKET FOR INFERENCE, BY OFFERING,
2021–2026 (USD BILLION) 106
9 AI INFRASTRUCTURE MARKET, BY DEPLOYMENT TYPE 107
9.1 INTRODUCTION 108
FIGURE 36 CLOUD DEPLOYMENT IN AI INFRASTRUCTURE MARKET IS EXPECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD 108
TABLE 52 AI INFRASTRUCTURE MARKET, BY DEPLOYMENT TYPE,
2017–2020 (USD BILLION) 108
TABLE 53 AI INFRASTRUCTURE MARKET, BY DEPLOYMENT TYPE,
2021–2026 (USD BILLION) 108
9.2 ON-PREMISES 109
9.2.1 DATA-SENSITIVE ENTERPRISES PREFER ON-PREMISES AI SOLUTIONS BASED ON ADVANCED NLP TECHNIQUES AND ML MODELS 109
TABLE 54 ON-PREMISE AI INFRASTRUCTURE MARKET, BY OFFERING,
2017–2020 (USD BILLION) 109
TABLE 55 ON-PREMISE AI INFRASTRUCTURE MARKET, BY OFFERING,
2021–2026 (USD BILLION) 109
9.3 CLOUD 109
9.3.1 CLOUD-BASED AI SOLUTIONS PROVIDE ADDITIONAL FLEXIBILITY AND MORE ACCURATE REAL-TIME DATA ESSENTIAL FOR EFFECTIVE BUSINESS OPERATIONS 109
TABLE 56 CLOUD-BASED AI INFRASTRUCTURE MARKET, BY OFFERING,
2017–2020 (USD BILLION) 110
TABLE 57 CLOUD-BASED AI INFRASTRUCTURE MARKET, BY OFFERING,
2021–2026 (USD BILLION) 110
9.4 HYBRID 110
9.4.1 HYBRID INFRASTRUCTURE WOULD HELP IN MAKING WORK PROCESSES FASTER, SAVE TIME AND MONEY 110
TABLE 58 HYBRID AI INFRASTRUCTURE MARKET, BY OFFERING,
2017–2020 (USD BILLION) 111
TABLE 59 HYBRID AI INFRASTRUCTURE MARKET, BY OFFERING,
2021–2026 (USD BILLION) 111
10 AI INFRASTRUCTURE MARKET, BY END USER 112
10.1 INTRODUCTION 113
FIGURE 37 AI INFRASTRUCTURE MARKET, BY END USER, 2021–2026 (USD BILLION) 113
TABLE 60 AI INFRASTRUCTURE MARKET, BY END USER, 2017–2020 (USD BILLION) 113
TABLE 61 AI INFRASTRUCTURE MARKET, BY END USER, 2021–2026 (USD BILLION) 113
10.2 ENTERPRISES 114
10.2.1 THE UTILIZATION OF ADVANCED BIG DATA SOLUTIONS FOR OPERATIONAL DATA EXPLOSION IS IMPACTING FUTURE REQUIREMENTS FOR AI-BASED SERVERS 114
FIGURE 38 AI INFRASTRUCTURE MARKET FOR ENTERPRISES IN APAC IS EXPECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD 115
TABLE 62 AI INFRASTRUCTURE MARKET FOR ENTERPRISES, BY REGION,
2017–2020 (USD BILLION) 115
TABLE 63 AI INFRASTRUCTURE MARKET FOR ENTERPRISES, BY REGION,
2021–2026 (USD BILLION) 115
TABLE 64 AI INFRASTRUCTURE MARKET FOR ENTERPRISES, BY OFFERING,
2017–2020 (USD BILLION) 116
TABLE 65 AI INFRASTRUCTURE MARKET FOR ENTERPRISES, BY OFFERING,
2021–2026 (USD BILLION) 116
TABLE 66 AI INFRASTRUCTURE MARKET FOR ENTERPRISES IN NORTH AMERICA,
BY COUNTRY, 2017–2020 (USD BILLION) 116
TABLE 67 AI INFRASTRUCTURE MARKET FOR ENTERPRISES IN NORTH AMERICA,
BY COUNTRY, 2021–2026 (USD BILLION) 116
TABLE 68 AI INFRASTRUCTURE MARKET FOR ENTERPRISES IN EUROPE, BY COUNTRY, 2017–2020 (USD BILLION) 117
TABLE 69 AI INFRASTRUCTURE MARKET FOR ENTERPRISES IN EUROPE, BY COUNTRY, 2021–2026 (USD BILLION) 117
TABLE 70 AI INFRASTRUCTURE MARKET FOR ENTERPRISES IN APAC, BY COUNTRY, 2017–2020 (USD BILLION) 117
TABLE 71 AI INFRASTRUCTURE MARKET FOR ENTERPRISES IN APAC, BY COUNTRY, 2021–2026 (USD BILLION) 118
TABLE 72 AI INFRASTRUCTURE MARKET FOR ENTERPRISES IN ROW, BY REGION, 2017–2020 (USD BILLION) 118
TABLE 73 AI INFRASTRUCTURE MARKET FOR ENTERPRISES IN ROW, BY REGION, 2021–2026 (USD BILLION) 118
10.3 GOVERNMENT ORGANIZATIONS 119
10.3.1 GOVERNMENTS WORLDWIDE ARE WORKING TOWARD IMPLEMENTING AI IN SECURITY SOLUTIONS TO PROTECT CRITICAL GOVERNMENT AND DEFENSE-RELATED INFRASTRUCTURE 119
FIGURE 39 HARDWARE OFFERINGS IN GOVERNMENT ORGANIZATIONS PROJECTED TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD 120
TABLE 74 AI INFRASTRUCTURE MARKET FOR GOVERNMENT ORGANIZATIONS,
BY OFFERING, 2017–2020 (USD BILLION) 120
TABLE 75 AI INFRASTRUCTURE MARKET FOR GOVERNMENT ORGANIZATIONS,
BY OFFERING, 2021–2026 (USD BILLION) 120
TABLE 76 AI INFRASTRUCTURE MARKET FOR GOVERNMENT ORGANIZATIONS,
BY REGION, 2017–2020 (USD BILLION) 121
TABLE 77 AI INFRASTRUCTURE MARKET FOR GOVERNMENT ORGANIZATIONS,
BY REGION, 2021–2026 (USD BILLION) 121
TABLE 78 AI INFRASTRUCTURE MARKET FOR GOVERNMENT ORGANIZATIONS IN
NORTH AMERICA, BY COUNTRY, 2017–2020 (USD BILLION) 121
TABLE 79 AI INFRASTRUCTURE MARKET FOR GOVERNMENT ORGANIZATIONS IN
NORTH AMERICA, BY COUNTRY, 2021–2026 (USD BILLION) 121
TABLE 80 AI INFRASTRUCTURE MARKET FOR GOVERNMENT ORGANIZATIONS IN EUROPE, BY COUNTRY, 2017–2020 (USD MILLION) 122
TABLE 81 AI INFRASTRUCTURE MARKET FOR GOVERNMENT ORGANIZATIONS IN EUROPE, BY COUNTRY, 2021–2026 (USD MILLION) 122
TABLE 82 AI INFRASTRUCTURE MARKET FOR GOVERNMENT ORGANIZATIONS IN APAC, BY COUNTRY, 2017–2020 (USD BILLION) 122
TABLE 83 AI INFRASTRUCTURE MARKET FOR GOVERNMENT ORGANIZATIONS IN APAC, BY COUNTRY, 2021–2026 (USD BILLION) 123
TABLE 84 AI INFRASTRUCTURE MARKET FOR GOVERNMENT ORGANIZATIONS IN ROW, BY REGION, 2017–2020 (USD BILLION) 123
TABLE 85 AI INFRASTRUCTURE MARKET FOR GOVERNMENT ORGANIZATIONS IN ROW, BY REGION, 2021–2026 (USD BILLION) 123
10.4 CLOUD SERVICE PROVIDERS (CSP) 124
10.4.1 CLOUD SERVICE PROVIDERS DELIVER INDUSTRY-SPECIFIC FUNCTIONALITY OR HELP USERS MEET CERTAIN REGULATORY REQUIREMENTS 124
FIGURE 40 AI INFRASTRUCTURE MARKET FOR CLOUD SERVICE PROVIDERS IN APAC IS EXPECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD 124
TABLE 86 AI INFRASTRUCTURE MARKET FOR CLOUD SERVICE PROVIDERS, BY REGION, 2017–2020 (USD BILLION) 125
TABLE 87 AI INFRASTRUCTURE MARKET FOR CLOUD SERVICE PROVIDERS, BY REGION, 2021–2026 (USD BILLION) 125
TABLE 88 AI INFRASTRUCTURE MARKET FOR CLOUD SERVICE PROVIDERS,
BY OFFERING, 2017–2020 (USD BILLION) 125
TABLE 89 AI INFRASTRUCTURE MARKET FOR CLOUD SERVICE PROVIDERS,
BY OFFERING, 2021–2026 (USD BILLION) 125
TABLE 90 AI INFRASTRUCTURE MARKET FOR CLOUD SERVICE PROVIDERS IN
NORTH AMERICA, BY COUNTRY, 2017–2020 (USD BILLION) 126
TABLE 91 AI INFRASTRUCTURE MARKET FOR CLOUD SERVICE PROVIDERS IN
NORTH AMERICA, BY COUNTRY, 2021–2026 (USD BILLION) 126
TABLE 92 AI INFRASTRUCTURE MARKET FOR CLOUD SERVICE PROVIDERS IN EUROPE, BY COUNTRY, 2017–2020 (USD BILLION) 126
TABLE 93 AI INFRASTRUCTURE MARKET FOR CLOUD SERVICE PROVIDERS IN EUROPE, BY COUNTRY, 2021–2026 (USD BILLION) 127
TABLE 94 AI INFRASTRUCTURE MARKET FOR CLOUD SERVICE PROVIDERS IN APAC,
BY COUNTRY, 2017–2020 (USD BILLION) 127
TABLE 95 AI INFRASTRUCTURE MARKET FOR CLOUD SERVICE PROVIDERS IN APAC,
BY COUNTRY, 2021–2026 (USD BILLION) 127
TABLE 96 AI INFRASTRUCTURE MARKET FOR CLOUD SERVICE PROVIDERS IN ROW,
BY REGION, 2017–2020 (USD BILLION) 128
TABLE 97 AI INFRASTRUCTURE MARKET FOR CLOUD SERVICE PROVIDERS IN ROW,
BY REGION, 2021–2026 (USD BILLION) 128
11 GEOGRAPHIC ANALYSIS 129
11.1 INTRODUCTION 130
FIGURE 41 GEOGRAPHIC SNAPSHOT: AI INFRASTRUCTURE MARKET IN APAC EXPECTED TO GROW AT THE HIGHEST CAGR DURING FORECAST PERIOD 130
FIGURE 42 AMONG COUNTRIES, THE US IS EXPECTED TO LEAD AI INFRASTRUCTURE MARKET FROM 2021 TO 2026 131
TABLE 98 AI INFRASTRUCTURE MARKET, BY REGION, 2017–2020 (USD BILLION) 131
TABLE 99 AI INFRASTRUCTURE MARKET, BY REGION, 2021–2026 (USD BILLION) 132
11.2 NORTH AMERICA 132
FIGURE 43 NORTH AMERICA: AI INFRASTRUCTURE MARKET SNAPSHOT 133
TABLE 100 AI INFRASTRUCTURE MARKET IN NORTH AMERICA, BY COUNTRY,
2017–2020 (USD BILLION) 133
TABLE 101 AI INFRASTRUCTURE MARKET IN NORTH AMERICA, BY COUNTRY,
2021–2026 (USD BILLION) 134
TABLE 102 AI INFRASTRUCTURE MARKET IN NORTH AMERICA, BY END USER,
2017–2020 (USD BILLION) 134
TABLE 103 AI INFRASTRUCTURE MARKET IN NORTH AMERICA, BY END USER,
2021–2026 (USD BILLION) 134
11.2.1 US 135
11.2.1.1 Improved economy and high disposable income in the US drive the demand for modern technologies, and thereby boost the market 135
TABLE 104 AI INFRASTRUCTURE MARKET IN US, BY END USER,
2017–2020 (USD BILLION) 136
TABLE 105 AI INFRASTRUCTURE MARKET IN US, BY END USER,
2021–2026 (USD BILLION) 136
11.2.2 CANADA 136
11.2.2.1 High adoption of AI technologies is fueling the market in this country 136
TABLE 106 AI INFRASTRUCTURE MARKET IN CANADA, BY END USER,
2017–2020 (USD BILLION) 137
TABLE 107 AI INFRASTRUCTURE MARKET IN CANADA, BY END USER,
2021–2026 (USD BILLION) 137
11.2.3 MEXICO 137
11.2.3.1 The market is driven by the growing penetration of AI in security and BFSI industries in the country 137
TABLE 108 AI INFRASTRUCTURE MARKET IN MEXICO, BY END USER,
2017–2020 (USD BILLION) 138
TABLE 109 AI INFRASTRUCTURE MARKET IN MEXICO, BY END USER,
2021–2026 (USD BILLION) 138
11.3 EUROPE 138
FIGURE 44 EUROPE: AI INFRASTRUCTURE MARKET SNAPSHOT 139
TABLE 110 AI INFRASTRUCTURE MARKET IN EUROPE, BY COUNTRY,
2017–2020 (USD BILLION) 140
TABLE 111 AI INFRASTRUCTURE MARKET IN EUROPE, BY COUNTRY,
2021–2026 (USD BILLION) 140
TABLE 112 AI INFRASTRUCTURE MARKET IN EUROPE, BY END USER,
2017–2020 (USD BILLION) 140
TABLE 113 AI INFRASTRUCTURE MARKET IN EUROPE, BY END USER,
2021–2026 (USD BILLION) 140
11.3.1 UK 141
11.3.1.1 Government initiatives to increase the adoption of AI would drive the market in the UK 141
TABLE 114 AI INFRASTRUCTURE MARKET IN UK, BY END USER,
2017–2020 (USD BILLION) 142
TABLE 115 AI INFRASTRUCTURE MARKET IN UK, BY END USER,
2021–2026 (USD BILLION) 142
11.3.2 GERMANY 142
11.3.2.1 Adoption of cloud computing and Industry 4.0 increased demand for data centers in Germany and thereby is expected to drive the market 142
TABLE 116 AI INFRASTRUCTURE MARKET IN GERMANY, BY END USER,
2017–2020 (USD BILLION) 143
TABLE 117 AI INFRASTRUCTURE MARKET IN GERMANY, BY END USER,
2021–2026 (USD BILLION) 143
11.3.3 FRANCE 143
11.3.3.1 Investment of venture capitalists in startups for the development of AI ecosystem surge AI infrastructure market growth in the country 143
TABLE 118 AI INFRASTRUCTURE MARKET IN FRANCE, BY END USER,
2017–2020 (USD BILLION) 144
TABLE 119 AI INFRASTRUCTURE MARKET IN FRANCE, BY END USER,
2021–2026 (USD BILLION) 144
11.3.4 REST OF EUROPE 144
11.3.4.1 Government investments are expected to drive the market in this region 144
TABLE 120 AI INFRASTRUCTURE MARKET IN REST OF EUROPE, BY END USER,
2017–2020 (USD BILLION) 145
TABLE 121 AI INFRASTRUCTURE MARKET IN REST OF EUROPE, BY END USER,
2021–2026 (USD BILLION) 145
11.4 APAC 146
FIGURE 45 APAC: AI INFRASTRUCTURE MARKET SNAPSHOT 147
TABLE 122 AI INFRASTRUCTURE MARKET IN APAC, BY COUNTRY,
2017–2020 (USD BILLION) 147
TABLE 123 AI INFRASTRUCTURE MARKET IN APAC, BY COUNTRY,
2021–2026 (USD BILLION) 148
TABLE 124 AI INFRASTRUCTURE MARKET IN APAC, BY END USER,
2017–2020 (USD BILLION) 148
TABLE 125 AI INFRASTRUCTURE MARKET IN APAC, BY END USER,
2021–2026 (USD BILLION) 148
11.4.1 CHINA 148
11.4.1.1 Strong R&D activities have been the driver for the market growth in China 148
TABLE 126 AI INFRASTRUCTURE MARKET IN CHINA, BY END USER,
2017–2020 (USD BILLION) 149
TABLE 127 AI INFRASTRUCTURE MARKET IN CHINA, BY END USER,
2021–2026 (USD BILLION) 149
11.4.2 JAPAN 149
11.4.2.1 Small and medium-sized companies in Japan are utilizing infrastructure-as-a-service 149
TABLE 128 AI INFRASTRUCTURE MARKET IN JAPAN, BY END USER,
2017–2020 (USD BILLION) 150
TABLE 129 AI INFRASTRUCTURE MARKET IN JAPAN, BY END USER,
2021–2026 (USD BILLION) 150
11.4.3 INDIA 150
11.4.3.1 Growing adoption of cloud-based services expected to positively impact the AI infrastructure market 150
TABLE 130 AI INFRASTRUCTURE MARKET IN INDIA, BY END USER,
2017–2020 (USD BILLION) 151
TABLE 131 AI INFRASTRUCTURE MARKET IN INDIA, BY END USER,
2021–2026 (USD BILLION) 151
11.4.4 REST OF APAC 151
11.4.4.1 Increasing adoption of cloud services by small and medium-sized enterprises expected to drive the market in this region 151
TABLE 132 AI INFRASTRUCTURE MARKET IN REST OF APAC, BY END USER,
2017–2020 (USD BILLION) 152
TABLE 133 AI INFRASTRUCTURE MARKET IN REST OF APAC, BY END USER,
2021–2026 (USD BILLION) 152
11.5 ROW 153
TABLE 134 AI INFRASTRUCTURE MARKET IN ROW, BY REGION,
2017–2020 (USD BILLION) 153
TABLE 135 AI INFRASTRUCTURE MARKET IN ROW, BY REGION,
2021–2026 (USD BILLION) 153
TABLE 136 AI INFRASTRUCTURE MARKET IN ROW, BY END USER,
2017–2020 (USD BILLION) 154
TABLE 137 AI INFRASTRUCTURE MARKET IN ROW, BY END USER,
2021–2026 (USD BILLION) 154
11.5.1 SOUTH AMERICA 154
11.5.1.1 Increased availability of computing services in the region expected to drive the market 154
TABLE 138 AI INFRASTRUCTURE MARKET IN SOUTH AMERICA, BY END USER,
2017–2020 (USD BILLION) 154
TABLE 139 AI INFRASTRUCTURE MARKET IN SOUTH AMERICA, BY END USER,
2021–2026 (USD BILLION) 155
11.5.2 MIDDLE EAST & AFRICA 155
11.5.2.1 Smart mobile data traffic would increase the workload on data centers and thereby boost AI server growth 155
TABLE 140 AI INFRASTRUCTURE MARKET IN MIDDLE EAST & AFRICA, BY END USER, 2017–2020 (USD BILLION) 155
TABLE 141 AI INFRASTRUCTURE MARKET IN MIDDLE EAST & AFRICA, BY END USER, 2021–2026 (USD BILLION) 156

12 COMPETITIVE LANDSCAPE 157
12.1 OVERVIEW 157
FIGURE 46 COMPANIES ADOPTED PRODUCT LAUNCHES AS A KEY GROWTH STRATEGY FROM 2020 TO 2021 157
12.2 REVENUE ANALYSIS OF KEY PLAYERS IN THE AI INFRASTRUCTURE MARKET 158
FIGURE 47 TOP PLAYERS IN AI INFRASTRUCTURE MARKET, 2016–2020 158
12.3 MARKET SHARE ANALYSIS OF KEY PLAYERS IN AI INFRASTRUCTURE
(PROCESSOR) MARKET IN 2020 159
TABLE 142 AI INFRASTRUCTURE (PROCESSOR) MARKET: DEGREE OF COMPETITION 159
12.4 MARKET RANKING ANALYSIS OF KEY PLAYERS IN AI INFRASTRUCTURE (STORAGE) MARKET IN 2020 160
FIGURE 48 AI INFRASTRUCTURE (STORAGE) MARKET, RANKING OF KEY PLAYERS, 2020 160
12.5 COMPANY EVALUATION QUADRANT 161
12.5.1 STARS 161
12.5.2 EMERGING LEADERS 161
12.5.3 PERVASIVE 161
12.5.4 PARTICIPANTS 161
FIGURE 49 AI INFRASTRUCTURE MARKET: COMPANY EVALUATION QUADRANT, 2020 162
12.6 COMPANY EVALUATION QUADRANT – PRODUCT FOOTPRINT 163
12.6.1 COMPANY FOOTPRINT, BY TECHNOLOGY 163
12.6.2 COMPANY FOOTPRINT, BY END-USER 164
12.6.3 COMPANY FOOTPRINT, BY REGION 165
12.6.4 COMPANY FOOTPRINT 166
12.7 STARTUP/SME EVALUATION QUADRANT, 2020 167
12.7.1 PROGRESSIVE COMPANY 167
12.7.2 RESPONSIVE COMPANY 167
12.7.3 DYNAMIC COMPANY 167
12.7.4 STARTING BLOCK 167
FIGURE 50 AI INFRASTRUCTURE MARKET (GLOBAL) STARTUP/SME EVALUATION QUADRANT, 2020 168
12.8 COMPETITIVE SITUATIONS AND TRENDS 169
12.8.1 NEW PRODUCT LAUNCHES AND DEVELOPMENTS 169
TABLE 143 NEW PRODUCT LAUNCHES AND DEVELOPMENTS, 2020–2021 169
12.8.2 DEALS 170
TABLE 144 DEALS, 2020–2021 170

13 COMPANY PROFILES 171
(Business Overview, Products/solutions/services Offered, Recent Developments, and MnM View (Key strengths/Right to Win, Strategic Choices Made, and Weaknesses and Competitive Threats))*
13.1 INTRODUCTION 171
13.2 KEY PLAYERS 171
13.2.1 INTEL 171
TABLE 145 INTEL: BUSINESS OVERVIEW 171
FIGURE 51 INTEL: COMPANY SNAPSHOT 172
13.2.2 NVIDIA 176
TABLE 146 NVIDIA: BUSINESS OVERVIEW 176
FIGURE 52 NVIDIA: COMPANY SNAPSHOT 177
13.2.3 AMD 181
TABLE 147 AMD: BUSINESS OVERVIEW 181
FIGURE 53 AMD: COMPANY SNAPSHOT 182
13.2.4 SAMSUNG ELECTRONICS 186
TABLE 148 SAMSUNG ELECTRONICS: BUSINESS OVERVIEW 186
FIGURE 54 SAMSUNG ELECTRONICS: COMPANY SNAPSHOT 187
13.2.5 XILINX 190
TABLE 149 XILINX: BUSINESS OVERVIEW 190
FIGURE 55 XILINX: COMPANY SNAPSHOT 191
13.2.6 MICRON TECHNOLOGY 195
TABLE 150 MICRON TECHNOLOGY: BUSINESS OVERVIEW 195
FIGURE 56 MICRON TECHNOLOGY: COMPANY SNAPSHOT 196
13.2.7 IBM 198
TABLE 151 IBM: BUSINESS OVERVIEW 198
FIGURE 57 IBM: COMPANY SNAPSHOT 199
13.2.8 GOOGLE 202
TABLE 152 GOOGLE: BUSINESS OVERVIEW 202
FIGURE 58 GOOGLE: COMPANY SNAPSHOT 203
13.2.9 MICROSOFT 207
TABLE 153 MICROSOFT: BUSINESS OVERVIEW 207
FIGURE 59 MICROSOFT: COMPANY SNAPSHOT 208
13.2.10 AMAZON WEB SERVICE 211
TABLE 154 AMAZON WEB SERVICE (AWS): BUSINESS OVERVIEW 211
FIGURE 60 AMAZON WEB SERVICE: COMPANY SNAPSHOT 212
13.3 OTHER KEY PLAYERS 215
13.3.1 GRAPHCORE 215
TABLE 155 GRAPHCORE: COMPANY OVERVIEW 215
13.3.2 SK HYNIX 216
TABLE 156 SK HYNIX: COMPANY OVERVIEW 216
13.3.3 CISCO 217
TABLE 157 CISCO: COMPANY OVERVIEW 217
13.3.4 ARM 218
TABLE 158 ARM: COMPANY OVERVIEW 218
13.3.5 DELL 219
TABLE 159 DELL: COMPANY OVERVIEW 219
13.3.6 HPE 220
TABLE 160 HPE: COMPANY OVERVIEW 220
13.3.7 WAVE COMPUTING 221
TABLE 161 WAVE COMPUTING: COMPANY OVERVIEW 221
13.3.8 TOSHIBA 222
TABLE 162 TOSHIBA: COMPANY OVERVIEW 222
13.3.9 GYRFALCON TECHNOLOGY 223
TABLE 163 GYRFALCON TECHNOLOGY: COMPANY OVERVIEW 223
13.3.10 IMAGINATION TECHNOLOGIES 224
TABLE 164 IMAGINATION TECHNOLOGIES: COMPANY OVERVIEW 224
13.3.11 CAMBRICON TECHNOLOGIES 225
TABLE 165 CAMBRICON TECHNOLOGIES: COMPANY OVERVIEW 225
13.3.12 CADENCE DESIGN SYSTEMS 226
TABLE 166 CADENCE DESIGN SYSTEMS: COMPANY OVERVIEW 226
13.3.13 TENSTORRENT 227
TABLE 167 TENSTORRENT: COMPANY OVERVIEW 227
13.3.14 SYNOPSYS 228
TABLE 168 SYNOPSYS: COMPANY OVERVIEW 228
13.3.15 SENSETIME 229
TABLE 169 SENSETIME: COMPANY OVERVIEW 229
*Details on Business Overview, Products/solutions/services Offered, Recent Developments, and MnM View (Key strengths/Right to Win, Strategic Choices Made, and Weaknesses and Competitive Threats) might not be captured in case of unlisted companies.
14 APPENDIX 230
14.1 INSIGHTS OF INDUSTRY EXPERTS 230
14.2 DISCUSSION GUIDE 231
14.3 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 234
14.4 AVAILABLE CUSTOMIZATIONS 236
14.5 RELATED REPORTS 237
14.6 AUTHOR DETAILS 238



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