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Market Research Report

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

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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
Published: July 3, 2019 Content info: 192 Pages
Description

"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.

Table of Contents
Product Code: SE 7201

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 STUDY OBJECTIVES
  • 1.2 DEFINITION
  • 1.3 STUDY SCOPE
    • 1.3.1 MARKETS COVERED
    • 1.3.2 GEOGRAPHIC SCOPE
    • 1.3.3 YEARS CONSIDERED
  • 1.4 CURRENCY
  • 1.5 LIMITATIONS
  • 1.6 STAKEHOLDERS

2 RESEARCH METHODOLOGY

  • 2.1 RESEARCH DATA
    • 2.1.1 SECONDARY DATA
      • 2.1.1.1 Secondary sources
    • 2.1.2 PRIMARY DATA
      • 2.1.2.1 Primaries sources
      • 2.1.2.2 Key industry insights
      • 2.1.2.3 Breakdown of primaries
  • 2.2 MARKET SIZE ESTIMATION
    • 2.2.1 BOTTOM-UP APPROACH
    • 2.2.2 TOP-DOWN APPROACH
  • 2.3 MARKET BREAKDOWN AND DATA TRIANGULATION
  • 2.4 RESEARCH ASSUMPTIONS

3 EXECUTIVE SUMMARY

4 PREMIUM INSIGHTS

  • 4.1 ATTRACTIVE OPPORTUNITIES IN AI INFRASTRUCTURE MARKET
  • 4.2 AI INFRASTRUCTURE HARDWARE MARKET, BY TYPE
  • 4.3 AI INFRASTRUCTURE MARKET, BY FUNCTION
  • 4.4 AI INFRASTRUCTURE MARKET, BY END USER AND REGION
  • 4.5 AI INFRASTRUCTURE MARKET, BY TECHNOLOGY
  • 4.6 AI INFRASTRUCTURE MARKET, BY GEOGRAPHY

5 MARKET OVERVIEW

  • 5.1 INTRODUCTION
  • 5.2 MARKET DYNAMICS
    • 5.2.1 DRIVERS
      • 5.2.1.1 Increasing adoption of cloud machine learning platform
      • 5.2.1.2 Escalating demand for AI hardware in high-performance computing data centers
      • 5.2.1.3 Rising focus on parallel computing in AI data centers
      • 5.2.1.4 Growing volume of data generated in industries such as automotive and healthcare
      • 5.2.1.5 Improving computing power and declining hardware cost
      • 5.2.1.6 Growing number of cross-industry partnerships and collaborations
      • 5.2.1.7 Expanding AI applications in industries such as healthcare, automotive, finance, and tourism
      • 5.2.1.8 Evolving applications of industrial IoT and automation technologies
    • 5.2.2 RESTRAINTS
      • 5.2.2.1 Dearth of AI hardware experts
    • 5.2.3 OPPORTUNITIES
      • 5.2.3.1 Surging demand for FPGA-based accelerators
      • 5.2.3.2 Rising need for coprocessors due to slowdown of Moore's Law
      • 5.2.3.3 Increasing focus on developing human-aware AI systems
    • 5.2.4 CHALLENGES
      • 5.2.4.1 Unreliability of AI algorithms
      • 5.2.4.2 Creation of application-specific models and mechanisms of AI in cloud
      • 5.2.4.3 Concerns regarding data privacy in AI platforms
      • 5.2.4.4 No assurance or guarantee on returns on investment
      • 5.2.4.5 Availability of limited structured data to train and develop efficient AI systems

6 AI INFRASTRUCTURE MARKET, BY OFFERING

  • 6.1 INTRODUCTION
  • 6.2 HARDWARE
    • 6.2.1 PROCESSOR
      • 6.2.1.1 CPU
        • 6.2.1.1.1 CPU to account for largest share of AI infrastructure processor market during the forecast period
      • 6.2.1.2 GPU
        • 6.2.1.2.1 NVIDIA is a key provider of GPUs for AI infrastructure
      • 6.2.1.3 FPGA
        • 6.2.1.3.1 Xilinx and Intel are major providers of FPGAs for AI infrastructure
      • 6.2.1.4 ASIC
        • 6.2.1.4.1 ASIC to grow at highest CAGR for processors in AI infrastructure market
    • 6.2.2 MEMORY
      • 6.2.2.1 High-bandwidth memory, independent of its computing architecture, is being developed and deployed for AI applications
    • 6.2.3 STORAGE
      • 6.2.3.1 Artificial intelligence, along with analytics tools, is used in sorting necessary and unessential data
    • 6.2.4 NETWORKING
      • 6.2.4.1 NVIDIA (US), CISCO (US), and Intel (US) are key providers of network interconnect adapters for AI applications
  • 6.3 SERVER SOFTWARE
    • 6.3.1 CREATING INTELLIGENT SOFTWARE INVOLVES SIMULATING SEVERAL CAPABILITIES SUCH AS PROBLEM-SOLVING, PERCEPTION, AND KNOWLEDGE REPRESENTATION

7 AI INFRASTRUCTURE MARKET, BY TECHNOLOGY

  • 7.1 INTRODUCTION
  • 7.2 MACHINE LEARNING
    • 7.2.1 MACHINE LEARNING ENABLES SYSTEMS TO AUTOMATICALLY IMPROVE THEIR PERFORMANCE WITH EXPERIENCE
  • 7.3 DEEP LEARNING
    • 7.3.1 DEEP LEARNING USES ARTIFICIAL NEURAL NETWORKS TO LEARN MULTIPLE LEVELS OF DATA

8 AI INFRASTRUCTURE MARKET, BY FUNCTION

  • 8.1 INTRODUCTION
  • 8.2 TRAINING
    • 8.2.1 BUILDING GOOD MODEL IS DIRECTLY RELATED TO QUALITY AND QUANTITY OF DATA USED IN PROCESS OF LEARNING MODEL
  • 8.3 INFERENCE
    • 8.3.1 ON-PREMISES INFERENCE PLATFORM IS ADOPTED TO GAIN FASTER RESULTS THAN THAT OF CLOUD

9 AI INFRASTRUCTURE MARKET, BY DEPLOYMENT TYPE

  • 9.1 INTRODUCTION
  • 9.2 ON-PREMISES
    • 9.2.1 DATA-SENSITIVE ENTERPRISES PREFER ON-PREMISES AI SOLUTIONS BASED ON ADVANCED NLP TECHNIQUES AND ML MODELS
  • 9.3 CLOUD
    • 9.3.1 CLOUD-BASED AI SOLUTIONS PROVIDE ADDITIONAL FLEXIBILITY AND MORE ACCURATE REAL-TIME DATA ESSENTIAL FOR EFFECTIVE BUSINESS OPERATIONS
  • 9.4 HYBRID
    • 9.4.1 HYBRID INFRASTRUCTURE WOULD HELP IN FAST WORK PROCESSES, SAVING TIME, AND MONEY

10 AI INFRASTRUCTURE MARKET, BY END-USER

  • 10.1 INTRODUCTION
  • 10.2 ENTERPRISES
    • 10.2.1 UTILIZATION OF ADVANCED BIG DATA SOLUTIONS FOR OPERATIONAL DATA EXPLOSION IS IMPACTING FUTURE REQUIREMENTS FOR AI-BASED SERVERS
  • 10.3 GOVERNMENT ORGANIZATIONS
    • 10.3.1 GOVERNMENTS WORLDWIDE ARE WORKING TOWARD IMPLEMENTING AI IN SECURITY SOLUTIONS TO PROTECT CRITICAL GOVERNMENT AND DEFENSE-RELATED INFRASTRUCTURE
  • 10.4 CLOUD SERVICE PROVIDERS (CSP)
    • 10.4.1 CLOUD SERVICE PROVIDERS NEED TO DELIVER INDUSTRY-SPECIFIC FUNCTIONALITY OR HELP USERS MEET CERTAIN REGULATORY REQUIREMENTS

11 GEOGRAPHIC ANALYSIS

  • 11.1 INTRODUCTION
  • 11.2 NORTH AMERICA
    • 11.2.1 US
      • 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
    • 11.2.2 CANADA
      • 11.2.2.1 High adoption of AI technologies, especially ML and NLP, is fueling Canadian market growth
    • 11.2.3 MEXICO
      • 11.2.3.1 Mexican market growth is driven by growing penetration of AI in security and BFSI industries in country
  • 11.3 EUROPE
    • 11.3.1 UK
      • 11.3.1.1 Adoption of supercomputers would drive market in UK
    • 11.3.2 GERMANY
      • 11.3.2.1 Adoption of cloud computing and Industry 4.0 has created increased demand for data centers in Germany
    • 11.3.3 FRANCE
      • 11.3.3.1 Investment of venture capitalists in French start-ups for development of AI ecosystem surge AI infrastructure market growth in country
    • 11.3.4 REST OF EUROPE
      • 11.3.4.1 Spain, Italy, Sweden, Norway, Netherlands, Belgium, Russia, and Poland drive AI infrastructure market growth in Rest of Europe
  • 11.4 APAC
    • 11.4.1 CHINA
      • 11.4.1.1 Growing demand for high-density, redundant facilities is triggering deployment of data centers, thereby escalating demand for AI infrastructure
    • 11.4.2 JAPAN
      • 11.4.2.1 Small and medium-sized companies in Japan are utilizing infrastructure-as-a-service (through cloud)
    • 11.4.3 INDIA
      • 11.4.3.1 Growing adoption of cloud based services to have positive impact on AI infrastructure market
    • 11.4.4 REST OF APAC
      • 11.4.4.1 Australia, Thailand, South Korea, and Indonesia are major countries responsible for growth in Rest of APAC
  • 11.5 ROW
    • 11.5.1 SOUTH AMERICA
      • 11.5.1.1 Brazil has largest computing services market in South America, followed by Chile and Argentina
    • 11.5.2 MIDDLE EAST AND AFRICA
      • 11.5.2.1 Smart mobile data traffic would lead to increased workload on data centers, resulting in AI server growth

12 COMPETITIVE LANDSCAPE

  • 12.1 OVERVIEW
  • 12.2 RANKING ANALYSIS OF KEY PLAYERS IN AI INFRASTRUCTURE MARKET
  • 12.3 COMPETITIVE SITUATIONS AND TRENDS
    • 12.3.1 PRODUCT LAUNCHES
    • 12.3.2 AGREEMENTS, PARTNERSHIPS, & COLLABORATIONS
    • 12.3.3 ACQUISITIONS
  • 12.4 COMPETITIVE LEADERSHIP MAPPING
    • 12.4.1 VISIONARY LEADERS
    • 12.4.2 INNOVATORS
    • 12.4.3 DYNAMIC DIFFERENTIATORS
    • 12.4.4 EMERGING COMPANIES

13 COMPANY PROFILES

  • 13.1 KEY PLAYERS

(Business Overview, Products, Solutions and Services Offered, Recent Developments, SWOT Analysis, and MnM View)*

    • 13.1.1 INTEL CORPORATION
    • 13.1.2 NVIDIA CORPORATION
    • 13.1.3 SAMSUNG ELECTRONICS
    • 13.1.4 MICRON TECHNOLOGY
    • 13.1.5 XILINX
    • 13.1.6 ADVANCED MICRO DEVICES (AMD)
    • 13.1.7 IBM
    • 13.1.8 GOOGLE
    • 13.1.9 MICROSOFT
    • 13.1.10 AMAZON WEB SERVICES
    • 13.1.11 CISCO
    • 13.1.12 ARM
    • 13.1.13 DELL
    • 13.1.14 HPE
    • 13.1.15 HABANA LABS
    • 13.1.16 SYNOPSYS INC
  • 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
    • 13.2.1 S K HYNIX INC.
    • 13.2.2 WAVE COMPUTING
    • 13.2.3 TOSHIBA
    • 13.2.4 IMAGINATION TECHNOLOGIES
    • 13.2.5 CAMBRICON TECHNOLOGIES
    • 13.2.6 GRAPHCORE
    • 13.2.7 GYRFALCON TECHNOLOGY INC.
    • 13.2.8 CADENCE DESIGN SYSTEMS
    • 13.2.9 TENSTORRENT

14 APPENDIX

  • 14.1 INSIGHTS OF INDUSTRY EXPERTS
  • 14.2 DISCUSSION GUIDE
  • 14.3 KNOWLEDGE STORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
  • 14.4 AVAILABLE CUSTOMIZATIONS
  • 14.5 RELATED REPORTS
  • 14.6 AUTHOR DETAILS

LIST OF TABLES

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

LIST OF FIGURES

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