AI Infrastructure Market by Offering (Hardware, Software), Technology (Machine Learning, Deep Learning), Function (Training, Inference), Deployment Type (On-Premises, Cloud, Hybrid), End User, and Region - Global Forecast to 2025

AIインフラの世界市場予測(~2025年):ハードウェア、ソフトウェア

◆タイトル:AI Infrastructure Market by Offering (Hardware, Software), Technology (Machine Learning, Deep Learning), Function (Training, Inference), Deployment Type (On-Premises, Cloud, Hybrid), End User, and Region - Global Forecast to 2025
◆商品コード:SE 7201
◆調査・発行会社:MarketsandMarkets
◆発行日:2019年7月3日
◆ページ数:192
◆レポート形式:PDF / 英語
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【レポートの概要】

当調査レポートでは、 AIインフラの世界市場について調査・分析し、エグゼクティブサマリー、市場インサイト、市場概観/市場動向、提供別(ハードウェア、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、展開種類別(オンプレミス、クラウド、ハイブリッド)分析、 AIインフラの世界市場規模及び予測、市場動向、競争状況、関連企業分析などの情報をお届けいたします。

“OVERALL AI INFRASTRUCTURE MARKET IS EXPECTED TO GROW AT CAGR OF 23.1% FROM 2019 TO 2025”The global AI infrastructure market is projected to grow from USD 14.6 billion in 2019 to USD 50.6 billion by 2025, at a CAGR of 23.1%. Major factors driving the AI infrastructure market growth include increasing adoption of cloud machine learning platform, escalating demand for AI hardware in high-performance computing data centers, rising focus on parallel computing in AI data centers, growing volume of data generated in industries such as automotive and healthcare, improving computing power and declining hardware cost, growing number of cross-industry partnerships and collaborations, and expanding AI applications in industries such as healthcare, automotive, finance, and tourism. However, mature markets in North America and Europe is one of the key factors restraining the growth of the market.
“CLOUD DEPLOYMENT TO HOLD LARGEST SHARE OF AI INFRASTRUCTURE MARKET BY 2025”
The cloud deployment mode provides several benefits, such as reduced operational costs, hassle-free deployment, and high scalability, easy data accessibility, faster access to critical data, and low capital requirement. The demand for the cloud deployment mode for NLP and ML tools in AI is expected to increase with the growing awareness of the benefits of cloud-based solutions. AI solution providers are focusing on the development of robust cloud-based solutions for their clients as many organizations have migrated from on-premises to either private or public cloud. Moreover, the cloud provides additional flexibility for business operations and real-time data accessibility to companies. The cloud platform provides improved predictive capability as this type of deployment mode enables faster alarm notification in critical situations. Further, it helps in maintaining a competitive edge by eliminating the administrative roadblocks of the supporting infrastructure and enables organizations to focus on improving their competencies. Major vendors offering cloud-based AI platforms include IBM (US), Microsoft (US), Amazon.com’s AWS (US), Alibaba Cloud (China), and Google (US).
“PROCESSORS TO ACCOUNT FOR LARGEST SHARE OF AI INFRASTRUCTURE HARDWARE MARKET”
The processor segment includes CPUs, micro processing units (MPUs), graphics processing units (GPUs), field-programmable gate arrays (FPGAs), and application-specific integrated circuits (ASICs). GPUs are being conventionally developed by companies such as NVIDIA (US) and ARM (UK). High parallel processing capabilities and improved computing power are the major benefits leading to high adoption of processors in various AI applications. Tensor Processing Units (TPUs) were launched by Google (an Alphabet (US) company) in early 2016. Intel (US) has been a leading provider of CPUs, and Xilinx Inc. (US) is a major provider of FPGAs for AI applications.
“APAC IS LIKELY TO Witness SIGNIFICANT CAGR IN AI INFRASTRUCTURE MARKET DURING FORECAST PERIOD”
APAC is expected to continue to lead the AI infrastructure market and is also likely to be the fastest-growing region. This is mainly attributed due to the increase in the number of manufacturing plants in various sectors, such as automotive, automation, power, and increasing adoption of cloud-based services and machine learning platform. A few of the prolific automotive equipment manufacturers are present in APAC countries such as China, Japan, South Korea, and India. Therefore, the AI infrastructure market in APAC is likely to grow at the highest CAGR during the forecast period.
Break-up of the profiles of primary participants:
• By Company Type: Tier 1 – 55%, Tier 2 – 20%, and Tier 3 – 25%
• By Designation: C-Level Executives – 75% and Managers – 25%
• By Region: North America – 10%, Europe – 20%, APAC – 40%, and RoW –30%
A few AI infrastructure ecosystem players are as follows: SK HYNIX Inc. (South Korea), Wave Computing (US), Toshiba (Japan), Imagination Technologies (UK), Cambricon Technology (China), Cadence (US), Graphcore (UK), Gyrfalcon Technology Inc. (US), and Tensotorrent Inc. (Canada).
Research Coverage:
This research report segments the global AI infrastructure market on the basis of offering, technology, deployment, end-user, function geography. The report discusses major drivers, restraints, challenges, and opportunities pertaining to the AI infrastructure market and also includes value chain. The study also includes an in-depth competitive analysis of key players in the market, along with their company profiles, key observations related to product and business offerings, recent developments, and key market strategies.
Key Benefits of Buying the Report
The report will help market leaders/new entrants in this market with information on the closest approximations of the revenue numbers for the overall AI infrastructure market and the subsegments. This report will help stakeholders understand the competitive landscape and gain more insights to better position their businesses and to plan suitable go-to-market strategies. The report also helps stakeholders understand the pulse of the market and provides them with information on key market drivers, restraints, challenges, and opportunities.

【レポートの目次】

TABLE OF CONTENTS

1 INTRODUCTION 17
1.1 STUDY OBJECTIVES 17
1.2 DEFINITION 17
1.3 STUDY SCOPE 18
1.3.1 MARKETS COVERED 18
1.3.2 GEOGRAPHIC SCOPE 18
1.3.3 YEARS CONSIDERED 19
1.4 CURRENCY 19
1.5 LIMITATIONS 19
1.6 STAKEHOLDERS 20
2 RESEARCH METHODOLOGY 21
2.1 RESEARCH DATA 21
2.1.1 SECONDARY DATA 22
2.1.1.1 Secondary sources 23
2.1.2 PRIMARY DATA 24
2.1.2.1 Primaries sources 24
2.1.2.2 Key industry insights 25
2.1.2.3 Breakdown of primaries 25
2.2 MARKET SIZE ESTIMATION 26
2.2.1 BOTTOM-UP APPROACH 26
2.2.2 TOP-DOWN APPROACH 27
2.3 MARKET BREAKDOWN AND DATA TRIANGULATION 28
2.4 RESEARCH ASSUMPTIONS 29
3 EXECUTIVE SUMMARY 30
4 PREMIUM INSIGHTS 34
4.1 ATTRACTIVE OPPORTUNITIES IN AI INFRASTRUCTURE MARKET 34
4.2 AI INFRASTRUCTURE HARDWARE MARKET, BY TYPE 34
4.3 AI INFRASTRUCTURE MARKET, BY FUNCTION 35
4.4 AI INFRASTRUCTURE MARKET, BY END USER AND REGION 35
4.5 AI INFRASTRUCTURE MARKET, BY TECHNOLOGY 36
4.6 AI INFRASTRUCTURE MARKET, BY GEOGRAPHY 36
5 MARKET OVERVIEW 37
5.1 INTRODUCTION 37
5.2 MARKET DYNAMICS 37
5.2.1 DRIVERS 38
5.2.1.1 Increasing adoption of cloud machine learning platform 38
5.2.1.2 Escalating demand for AI hardware in high-performance computing data centers 38
5.2.1.3 Rising focus on parallel computing in AI data centers 39
5.2.1.4 Growing volume of data generated in industries such as automotive and healthcare 39
5.2.1.5 Improving computing power and declining hardware cost 41
5.2.1.6 Growing number of cross-industry partnerships and collaborations 42
5.2.1.7 Expanding AI applications in industries such as healthcare, automotive, finance, and tourism 43
5.2.1.8 Evolving applications of industrial IoT and automation technologies 43
5.2.2 RESTRAINTS 44
5.2.2.1 Dearth of AI hardware experts 44
5.2.3 OPPORTUNITIES 45
5.2.3.1 Surging demand for FPGA-based accelerators 45
5.2.3.2 Rising need for coprocessors due to slowdown of Moore’s Law 45
5.2.3.3 Increasing focus on developing human-aware AI systems 46
5.2.4 CHALLENGES 46
5.2.4.1 Unreliability of AI algorithms 46
5.2.4.2 Creation of application-specific models and mechanisms of
AI in cloud 46
5.2.4.3 Concerns regarding data privacy in AI platforms 47
5.2.4.4 No assurance or guarantee on returns on investment 47
5.2.4.5 Availability of limited structured data to train and develop efficient
AI systems 49
6 AI INFRASTRUCTURE MARKET, BY OFFERING 50
6.1 INTRODUCTION 51
6.2 HARDWARE 52
6.2.1 PROCESSOR 54
6.2.1.1 CPU 55
6.2.1.1.1 CPU to account for largest share of AI infrastructure processor market during the forecast period 55
6.2.1.2 GPU 56
6.2.1.2.1 NVIDIA is a key provider of GPUs for AI infrastructure 56
6.2.1.3 FPGA 56
6.2.1.3.1 Xilinx and Intel are major providers of FPGAs for
AI infrastructure 56
6.2.1.4 ASIC 56
6.2.1.4.1 ASIC to grow at highest CAGR for processors in
AI infrastructure market 56
6.2.2 MEMORY 57
6.2.2.1 High-bandwidth memory, independent of its computing architecture, is being developed and deployed for AI applications 57
6.2.3 STORAGE 57
6.2.3.1 Artificial intelligence, along with analytics tools, is used in sorting necessary and unessential data 57
6.2.4 NETWORKING 58
6.2.4.1 NVIDIA (US), CISCO (US), and Intel (US) are key providers of network interconnect adapters for AI applications 58
6.3 SERVER SOFTWARE 58
6.3.1 CREATING INTELLIGENT SOFTWARE INVOLVES SIMULATING
SEVERAL CAPABILITIES SUCH AS PROBLEM-SOLVING, PERCEPTION,
AND KNOWLEDGE REPRESENTATION 58
7 AI INFRASTRUCTURE MARKET, BY TECHNOLOGY 61
7.1 INTRODUCTION 62
7.2 MACHINE LEARNING 63
7.2.1 MACHINE LEARNING ENABLES SYSTEMS TO AUTOMATICALLY IMPROVE THEIR PERFORMANCE WITH EXPERIENCE 63
7.3 DEEP LEARNING 64
7.3.1 DEEP LEARNING USES ARTIFICIAL NEURAL NETWORKS TO LEARN MULTIPLE LEVELS OF DATA 64
8 AI INFRASTRUCTURE MARKET, BY FUNCTION 65
8.1 INTRODUCTION 66
8.2 TRAINING 67
8.2.1 BUILDING GOOD MODEL IS DIRECTLY RELATED TO QUALITY AND QUANTITY OF DATA USED IN PROCESS OF LEARNING MODEL 67
8.3 INFERENCE 67
8.3.1 ON-PREMISES INFERENCE PLATFORM IS ADOPTED TO GAIN FASTER RESULTS THAN THAT OF CLOUD 67
9 AI INFRASTRUCTURE MARKET, BY DEPLOYMENT TYPE 69
9.1 INTRODUCTION 70
9.2 ON-PREMISES 71
9.2.1 DATA-SENSITIVE ENTERPRISES PREFER ON-PREMISES AI SOLUTIONS BASED ON ADVANCED NLP TECHNIQUES AND ML MODELS 71
9.3 CLOUD 71
9.3.1 CLOUD-BASED AI SOLUTIONS PROVIDE ADDITIONAL FLEXIBILITY AND MORE ACCURATE REAL-TIME DATA ESSENTIAL FOR EFFECTIVE BUSINESS OPERATIONS 71
9.4 HYBRID 72
9.4.1 HYBRID INFRASTRUCTURE WOULD HELP IN FAST WORK PROCESSES,
SAVING TIME, AND MONEY 72
10 AI INFRASTRUCTURE MARKET, BY END-USER 74
10.1 INTRODUCTION 75
10.2 ENTERPRISES 76
10.2.1 UTILIZATION OF ADVANCED BIG DATA SOLUTIONS FOR OPERATIONAL DATA EXPLOSION IS IMPACTING FUTURE REQUIREMENTS FOR AI-BASED SERVERS 76
10.3 GOVERNMENT ORGANIZATIONS 79
10.3.1 GOVERNMENTS WORLDWIDE ARE WORKING TOWARD IMPLEMENTING
AI IN SECURITY SOLUTIONS TO PROTECT CRITICAL GOVERNMENT AND DEFENSE-RELATED INFRASTRUCTURE 79
10.4 CLOUD SERVICE PROVIDERS (CSP) 83
10.4.1 CLOUD SERVICE PROVIDERS NEED TO DELIVER INDUSTRY-SPECIFIC FUNCTIONALITY OR HELP USERS MEET CERTAIN REGULATORY REQUIREMENTS 83
11 GEOGRAPHIC ANALYSIS 87
11.1 INTRODUCTION 88
11.2 NORTH AMERICA 90
11.2.1 US 91
11.2.1.1 Improved economy and high disposable income in US lead to increased demand for modern technologies, which, in turn, boosts
AI infrastructure market growth 91
11.2.2 CANADA 93
11.2.2.1 High adoption of AI technologies, especially ML and NLP, is fueling Canadian market growth 93
11.2.3 MEXICO 94
11.2.3.1 Mexican market growth is driven by growing penetration of
AI in security and BFSI industries in country 94
11.3 EUROPE 95
11.3.1 UK 97
11.3.1.1 Adoption of supercomputers would drive market in UK 97
11.3.2 GERMANY 99
11.3.2.1 Adoption of cloud computing and Industry 4.0 has created increased demand for data centers in Germany 99
11.3.3 FRANCE 100
11.3.3.1 Investment of venture capitalists in French start-ups for development of AI ecosystem surge AI infrastructure market growth in country 100
11.3.4 REST OF EUROPE 101
11.3.4.1 Spain, Italy, Sweden, Norway, Netherlands, Belgium, Russia, and Poland drive AI infrastructure market growth in Rest of Europe 101
11.4 APAC 103
11.4.1 CHINA 105
11.4.1.1 Growing demand for high-density, redundant facilities is triggering deployment of data centers, thereby escalating demand for
AI infrastructure 105
11.4.2 JAPAN 106
11.4.2.1 Small and medium-sized companies in Japan are utilizing infrastructure-as-a-service (through cloud) 106
11.4.3 INDIA 107
11.4.3.1 Growing adoption of cloud based services to have positive impact on AI infrastructure market 107
11.4.4 REST OF APAC 107
11.4.4.1 Australia, Thailand, South Korea, and Indonesia are major countries responsible for growth in Rest of APAC 107
11.5 ROW 109
11.5.1 SOUTH AMERICA 110
11.5.1.1 Brazil has largest computing services market in South America, followed by Chile and Argentina 110
11.5.2 MIDDLE EAST AND AFRICA 111
11.5.2.1 Smart mobile data traffic would lead to increased workload on data centers, resulting in AI server growth 111
12 COMPETITIVE LANDSCAPE 112
12.1 OVERVIEW 112
12.2 RANKING ANALYSIS OF KEY PLAYERS IN AI INFRASTRUCTURE MARKET 113
12.3 COMPETITIVE SITUATIONS AND TRENDS 114
12.3.1 PRODUCT LAUNCHES 114
12.3.2 AGREEMENTS, PARTNERSHIPS, & COLLABORATIONS 115
12.3.3 ACQUISITIONS 116
12.4 COMPETITIVE LEADERSHIP MAPPING 117
12.4.1 VISIONARY LEADERS 117
12.4.2 INNOVATORS 117
12.4.3 DYNAMIC DIFFERENTIATORS 117
12.4.4 EMERGING COMPANIES 117
13 COMPANY PROFILES 119
13.1 KEY PLAYERS 119
(Business Overview, Products, Solutions and Services Offered, Recent Developments, SWOT Analysis, and
MnM View)*
13.1.1 INTEL CORPORATION 119
13.1.2 NVIDIA CORPORATION 123
13.1.3 SAMSUNG ELECTRONICS 128
13.1.4 MICRON TECHNOLOGY 131
13.1.5 XILINX 135
13.1.6 ADVANCED MICRO DEVICES (AMD) 140
13.1.7 IBM 143
13.1.8 GOOGLE 148
13.1.9 MICROSOFT 152
13.1.10 AMAZON WEB SERVICES 157
13.1.11 CISCO 161
13.1.12 ARM 163
13.1.13 DELL 168
13.1.14 HPE 170

13.1.15 HABANA LABS 172
13.1.16 SYNOPSYS INC 174
* Business Overview, Products, Solutions and Services Offered, Recent Developments, SWOT Analysis, and
MnM View might not be captured in case of unlisted companies.
13.2 OTHER KEY PLAYERS 178
13.2.1 S K HYNIX INC. 178
13.2.2 WAVE COMPUTING 178
13.2.3 TOSHIBA 179
13.2.4 IMAGINATION TECHNOLOGIES 180
13.2.5 CAMBRICON TECHNOLOGIES 181
13.2.6 GRAPHCORE 181
13.2.7 GYRFALCON TECHNOLOGY INC. 182
13.2.8 CADENCE DESIGN SYSTEMS 182
13.2.9 TENSTORRENT 183
14 APPENDIX 184
14.1 INSIGHTS OF INDUSTRY EXPERTS 184
14.2 DISCUSSION GUIDE 185
14.3 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 188
14.4 AVAILABLE CUSTOMIZATIONS 190
14.5 RELATED REPORTS 190
14.6 AUTHOR DETAILS 191

LIST OF TABLES

TABLE 1 INCREASE IN NEUROIMAGING AND GENETICS DATA AND COMPLEXITY RELATED TO COMPUTATIONAL POWER FROM 1985 TO 2019 40
TABLE 2 AVERAGE NUMBER OF CONNECTED DEVICES PER CAPITA FOR EACH REGION, 2016 VS. 2021 40
TABLE 3 PRICE COMPARISON OF AI HARDWARE (LEADING COMPANIES), 2016 VS. 2017 41
TABLE 4 PROMINENT INVESTMENTS IN AI MARKET IN PAST 3 YEARS 48
TABLE 5 AI INFRASTRUCTURE MARKET, BY OFFERING, 2016–2025 (USD BILLION) 51
TABLE 6 AI INFRASTRUCTURE MARKET FOR HARDWARE OFFERINGS, BY TYPE,
2016–2025 (USD BILLION) 52
TABLE 7 AI INFRASTRUCTURE MARKET FOR HARDWARE OFFERINGS, BY DEPLOYMENT, 2016–2025 (USD BILLION) 53
TABLE 8 AI INFRASTRUCTURE MARKET FOR HARDWARE OFFERINGS, BY FUNCTION,
2016–2025 (USD BILLION) 53
TABLE 9 AI INFRASTRUCTURE MARKET FOR HARDWARE OFFERINGS, BY TECHNOLOGY, 2016–2025 (USD BILLION) 53
TABLE 10 AI INFRASTRUCTURE MARKET FOR HARDWARE OFFERINGS, BY END USER,
2016–2025 (USD BILLION) 54
TABLE 11 AI INFRASTRUCTURE MARKET FOR PROCESSORS, BY TYPE,
2016–2025 (USD BILLION) 55
TABLE 12 AI INFRASTRUCTURE MARKET FOR PROCESSORS, BY TYPE,
2016–2025 (MILLION UNITS) 55
TABLE 13 AI INFRASTRUCTURE MARKET FOR SERVER SOFTWARE, BY DEPLOYMENT TYPE, 2016–2025 (USD BILLION) 58
TABLE 14 AI INFRASTRUCTURE MARKET FOR SERVER SOFTWARE, BY FUNCTION,
2016–2025 (USD BILLION) 59
TABLE 15 AI INFRASTRUCTURE MARKET FOR SERVER SOFTWARE, BY TECHNOLOGY,
2016–2025 (USD BILLION) 59
TABLE 16 AI INFRASTRUCTURE MARKET FOR SERVER SOFTWARE, BY END USER,
2016–2025 (USD BILLION) 59
TABLE 17 AI INFRASTRUCTURE MARKET, BY TECHNOLOGY, 2016–2025 (USD BILLION) 62
TABLE 18 AI INFRASTRUCTURE MARKET FOR MACHINE LEARNING, BY OFFERING,
2016–2025 (USD BILLION) 63
TABLE 19 AI INFRASTRUCTURE MARKET FOR DEEP LEARNING, BY OFFERING,
2016–2025 (USD BILLION) 64
TABLE 20 AI INFRASTRUCTURE MARKET, BY FUNCTION, 2016–2025 (USD BILLION) 66
TABLE 21 AI INFRASTRUCTURE MARKET FOR TRAINING, BY OFFERING,
2016–2025 (USD BILLION) 67
TABLE 22 AI INFRASTRUCTURE MARKET FOR INFERENCE, BY OFFERING,
2016–2025 (USD BILLION) 68
TABLE 23 AI INFRASTRUCTURE MARKET, BY DEPLOYMENT TYPE, 2016–2025 (USD BILLION) 70
TABLE 24 AI INFRASTRUCTURE MARKET FOR ON-PREMISE, BY OFFERING,
2016–2025 (USD BILLION) 71
TABLE 25 AI INFRASTRUCTURE MARKET FOR CLOUD, BY OFFERING,
2016–2025 (USD BILLION) 72
TABLE 26 AI INFRASTRUCTURE MARKET FOR HYBRID, BY OFFERING,
2016–2025 (USD BILLION) 73
TABLE 27 AI INFRASTRUCTURE MARKET, BY END USER, 2016–2025 (USD BILLION) 75
TABLE 28 AI INFRASTRUCTURE MARKET FOR ENTERPRISES, BY REGION,
2016–2025 (USD BILLION) 77
TABLE 29 AI INFRASTRUCTURE MARKET FOR ENTERPRISES, BY OFFERING,
2016–2025 (USD BILLION) 77
TABLE 30 AI INFRASTRUCTURE MARKET FOR ENTERPRISES IN NORTH AMERICA,
BY COUNTRY, 2016–2025 (USD MILLION) 77
TABLE 31 AI INFRASTRUCTURE MARKET FOR ENTERPRISES IN EUROPE, BY COUNTRY, 2016–2025 (USD MILLION) 78
TABLE 32 AI INFRASTRUCTURE MARKET FOR ENTERPRISES IN APAC, BY COUNTRY,
2016–2025 (USD MILLION) 78
TABLE 33 AI INFRASTRUCTURE MARKET FOR ENTERPRISES IN ROW, BY REGION,
2016–2025 (USD MILLION) 79
TABLE 34 AI INFRASTRUCTURE MARKET FOR GOVERNMENT ORGANIZATIONS, BY OFFERING, 2016–2025 (USD BILLION) 80
TABLE 35 AI INFRASTRUCTURE MARKET FOR GOVERNMENT ORGANIZATIONS, BY REGION, 2016–2025 (USD MILLION) 81
TABLE 36 AI INFRASTRUCTURE MARKET FOR GOVERNMENT ORGANIZATIONS IN
NORTH AMERICA, BY COUNTRY, 2016–2025 (USD MILLION) 81
TABLE 37 AI INFRASTRUCTURE MARKET FOR GOVERNMENT ORGANIZATIONS IN EUROPE,
BY COUNTRY, 2016–2025 (USD MILLION) 82
TABLE 38 AI INFRASTRUCTURE MARKET FOR GOVERNMENT ORGANIZATIONS IN APAC,
BY COUNTRY, 2016–2025 (USD MILLION) 82
TABLE 39 AI INFRASTRUCTURE MARKET FOR GOVERNMENT ORGANIZATIONS IN ROW,
BY REGION, 2016–2025 (USD MILLION) 83
TABLE 40 AI INFRASTRUCTURE MARKET FOR CLOUD SERVICE PROVIDERS, BY REGION, 2016–2025 (USD BILLION) 84
TABLE 41 AI INFRASTRUCTURE MARKET FOR CLOUD SERVICE PROVIDERS, BY OFFERING, 2016–2025 (USD BILLION) 85
TABLE 42 AI INFRASTRUCTURE MARKET FOR CLOUD SERVICE PROVIDERS IN
NORTH AMERICA, BY COUNTRY, 2016–2025 (USD BILLION) 85
TABLE 43 AI INFRASTRUCTURE MARKET FOR CLOUD SERVICE PROVIDERS IN EUROPE,
BY COUNTRY, 2016–2025 (USD BILLION) 85
TABLE 44 AI INFRASTRUCTURE MARKET FOR CLOUD SERVICE PROVIDERS IN APAC,
BY COUNTRY, 2016–2025 (USD BILLION) 86
TABLE 45 AI INFRASTRUCTURE MARKET FOR CLOUD SERVICE PROVIDERS IN ROW,
BY REGION, 2016–2025 (USD BILLION) 86
TABLE 46 AI INFRASTRUCTURE MARKET, BY REGION, 2016–2025 (USD BILLION) 89
TABLE 47 AI INFRASTRUCTURE MARKET IN NORTH AMERICA, BY COUNTRY,
2016–2025 (USD BILLION) 91
TABLE 48 AI INFRASTRUCTURE MARKET IN NORTH AMERICA, BY END USER,
2016–2025 (USD BILLION) 91
TABLE 49 AI INFRASTRUCTURE MARKET IN US, BY END USER, 2016–2025 (USD BILLION) 92
TABLE 50 AI INFRASTRUCTURE MARKET IN CANADA, BY END USER,
2016–2025 (USD MILLION) 93
TABLE 51 AI INFRASTRUCTURE MARKET IN MEXICO, BY END USER,
2016–2025 (USD MILLION) 94
TABLE 52 AI INFRASTRUCTURE MARKET IN EUROPE, BY COUNTRY,
2016–2025 (USD BILLION) 96
TABLE 53 AI INFRASTRUCTURE MARKET IN EUROPE, BY END USER,
2016–2025 (USD BILLION) 97
TABLE 54 AI INFRASTRUCTURE MARKET IN UK, BY END USER, 2016–2025 (USD BILLION) 98
TABLE 55 AI INFRASTRUCTURE MARKET IN GERMANY, BY END USER,
2016–2025 (USD MILLION) 99
TABLE 56 AI INFRASTRUCTURE MARKET IN FRANCE, BY END USER,
2016–2025 (USD MILLION) 100
TABLE 57 AI INFRASTRUCTURE MARKET IN REST OF EUROPE, BY END USER,
2016–2025 (USD MILLION) 101
TABLE 58 AI INFRASTRUCTURE MARKET IN APAC, BY COUNTRY, 2016–2025 (USD BILLION) 104
TABLE 59 AI INFRASTRUCTURE MARKET IN APAC, BY END USER, 2016–2025 (USD BILLION) 104
TABLE 60 AI INFRASTRUCTURE MARKET IN CHINA, BY END USER,
2016–2025 (USD MILLION) 105
TABLE 61 AI INFRASTRUCTURE MARKET IN JAPAN, BY END USER,
2016–2025 (USD MILLION) 106
TABLE 62 AI INFRASTRUCTURE MARKET IN INDIA, BY END USER, 2016–2025 (USD MILLION) 107
TABLE 63 AI INFRASTRUCTURE MARKET IN REST OF APAC, BY END USER,
2016–2025 (USD BILLION) 108
TABLE 64 AI INFRASTRUCTURE MARKET IN ROW, BY REGION, 2016–2025 (USD BILLION) 109
TABLE 65 AI INFRASTRUCTURE MARKET IN ROW, BY END USER, 2016–2025 (USD MILLION) 110
TABLE 66 AI INFRASTRUCTURE MARKET IN SOUTH AMERICA, BY END USER,
2016–2025 (USD MILLION) 110
TABLE 67 AI INFRASTRUCTURE MARKET IN MIDDLE EAST AND AFRICA, BY END USER,
2016–2025 (USD MILLION) 111
TABLE 68 PRODUCT LAUNCHES, 2017–2018 114
TABLE 69 AGREEMENTS, PARTNERSHIPS, COLLABORATIONS, AND JOINT VENTURES,
2017–2018 115
TABLE 70 ACQUISITIONS, 2016–2019 116


LIST OF FIGURES

FIGURE 1 AI INFRASTRUCTURE MARKET SEGMENTATION 18
FIGURE 2 AI INFRASTRUCTURE MARKET: RESEARCH DESIGN 21
FIGURE 3 BOTTOM-UP APPROACH TO ARRIVE AT MARKET SIZE 26
FIGURE 4 TOP-DOWN APPROACH TO ARRIVE AT MARKET SIZE 27
FIGURE 5 DATA TRIANGULATION 28
FIGURE 6 AI INFRASTRUCTURE MARKET, BY OFFERING, 2019 VS. 2025 (USD BILLION) 31
FIGURE 7 TRAINING FUNCTION TO EXHIBIT HIGHER CAGR IN AI INFRASTRUCTURE MARKET DURING FORECAST PERIOD 31
FIGURE 8 AI INFRASTRUCTURE MARKET, BY END USER, 2019 VS. 2025 (USD BILLION) 32
FIGURE 9 AI INFRASTRUCTURE MARKET, BY REGION, 2019–2025 33
FIGURE 10 INCREASING ADOPTION OF CLOUD MACHINE LEARNING PLATFORM AND ESCALATING DEMAND FOR AI HARDWARE IN HIGH-PERFORMANCE COMPUTING DATA CENTERS TO DRIVE AI INFRASTRUCTURE MARKET 34
FIGURE 11 PROCESSORS TO ACCOUNT FOR THE LARGEST SHARE OF AI INFRASTRUCTURE HARDWARE MARKET 34
FIGURE 12 INFERENCE FUNCTION TO HOLD LARGEST SHARE OF AI INFRASTRUCTURE MARKET DURING FORECAST PERIOD 35
FIGURE 13 NORTH AMERICA TO ACCOUNT FOR THE LARGEST SHARE OF AI INFRASTRUCTURE MARKET DURING THE FORECAST PERIOD 35
FIGURE 14 THE AI INFRASTRUCTURE MARKET FOR DEEP LEARNING IS ESTIMATED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD 36
FIGURE 15 CHINA IS EXPECTED TO GROW AT HIGHEST CAGR IN AI INFRASTRUCTURE MARKET DURING FORECAST PERIOD 36
FIGURE 16 AI INFRASTRUCTURE MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES,
AND CHALLENGES 37
FIGURE 17 COST PER TRANSISTOR 45
FIGURE 18 PERCENTAGE AND TYPES OF HEALTHCARE BREACHES REPORTED BY U.S. DEPARTMENT OF HEALTH AND HUMAN SERVICES 47
FIGURE 19 HARDWARE OFFERINGS TO COMMAND AI INFRASTRUCTURE MARKET
DURING 2019–2025 51
FIGURE 20 MEMORY TO EXHIBIT HIGHEST CAGR IN AI INFRASTRUCTURE MARKET,
BY OFFERING, DURING FORECAST PERIOD 52
FIGURE 21 DEEP LEARNING TECHNOLOGY TO WITNESS HIGHEST CAGR IN AI INFRASTRUCTURE MARKET DURING FORECAST PERIOD 62
FIGURE 22 AI INFRASTRUCTURE MARKET FOR TRAINING FUNCTION IS ESTIMATED TO GROW AT HIGHER CAGR DURING FORECAST PERIOD 66
FIGURE 23 AI INFRASTRUCTURE MARKET FOR CLOUD DEPLOYMENT IS ESTIMATED TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 70
FIGURE 24 CLOUD SERVICE PROVIDERS TO GROW AT HIGHEST CAGR IN AI INFRASTRUCTURE MARKET DURING THE FORECAST PERIOD 75
FIGURE 25 AI INFRASTRUCTURE MARKET FOR ENTERPRISES IN APAC IS ESTIMATED TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 76
FIGURE 26 HARDWARE OFFERINGS IN GOVERNMENT ORGANIZATIONS IS ESTIMATED TO GROW AT HIGHER CAGR DURING FORECAST PERIOD 80
FIGURE 27 AI INFRASTRUCTURE MARKET FOR CLOUD SERVICE PROVIDERS IN APAC IS ESTIMATED TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 84
FIGURE 28 CHINA, US, GERMANY, INDIA, AND JAPAN EMERGING AS NEW HOT SPOTS IN AI INFRASTRUCTURE MARKET 88
FIGURE 29 NORTH AMERICA TO ACCOUNT FOR LARGEST SHARE OF AI INFRASTRUCTURE MARKET, IN TERMS OF VALUE, DURING FORECAST PERIOD 89
FIGURE 30 NORTH AMERICA: MARKET SNAPSHOT 90
FIGURE 31 EUROPE: MARKET SNAPSHOT 96
FIGURE 32 CLOUD SERVICE PROVIDERS TO RECORD HIGHEST CAGR IN AI INFRASTRUCTURE MARKET IN UK DURING FORECAST PERIOD 98
FIGURE 33 APAC: MARKET SNAPSHOT 103
FIGURE 34 CLOUD SERVICE PROVIDERS AREEXPECTED TO COMMANDAI INFRASTRUCTURE MARKET IN CHINA DURING FORECAST PERIOD 105
FIGURE 35 ROW: MARKET SNAPSHOT 109
FIGURE 36 COMPANIES ADOPTED PRODUCT LAUNCHES AS KEY GROWTH STRATEGY
FROM 2017 TO 2019 112
FIGURE 37 RANKING ANALYSIS OF KEY COMPANIES IN AI INFRASTRUCTURE MARKET 113
FIGURE 38 AI INFRASTRUCTURE MARKET (GLOBAL) COMPETITIVE LEADERSHIP
MAPPING, 2018 118
FIGURE 39 INTEL CORPORATION: COMPANY SNAPSHOT 119
FIGURE 40 NVIDIA CORPORATION: COMPANY SNAPSHOT 124
FIGURE 41 SAMSUNG ELECTRONICS: COMPANY SNAPSHOT 128
FIGURE 42 MICRON TECHNOLOGY: COMPANY SNAPSHOT 131
FIGURE 43 XILINX: COMPANY SNAPSHOT 136
FIGURE 44 ADVANCED MICRO DEVICES (AMD): COMPANY SNAPSHOT 140
FIGURE 45 IBM: COMPANY SNAPSHOT 143
FIGURE 46 GOOGLE: COMPANY SNAPSHOT 148
FIGURE 47 MICROSOFT: COMPANY SNAPSHOT 153
FIGURE 48 AMAZON WEB SERVICES: COMPANY SNAPSHOT 157
FIGURE 49 CISCO: COMPANY SNAPSHOT 161
FIGURE 50 ARM: COMPANY SNAPSHOT 163
FIGURE 51 DELL: COMPANY SNAPSHOT 168
FIGURE 52 HPE: COMPANY SNAPSHOT 170
FIGURE 53 SYNOPSYS: COMPANY SNAPSHOT 174


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