Artificial Intelligence (AI) Supercomputer Market Trends Analysis Research Report by Unit Type (OBU and RSU), Form (In-vehicle and External Cloud Services), Communication Type (V2I, V2V, V2G, V2C, and V2P), Security Type (PKI and Embedded), Connectivity Type, Vehicle Type and Region - Global Forecast to 2030

Artificial Intelligence (AI) Supercomputer Market Overview

Artificial Intelligence (AI) Supercomputer Market I s expected to grow rapidly at a 22.3% CAGR consequently, it will grow from its existing size of from $1.4 billion in 2023 to $ 3.4 billion by 2030. 

For Insights Consultancy presents an extensive market analysis report titled “Artificial Intelligence (AI) Supercomputer Market Report 2024″providing businesses with an edge in competition by providing a thorough analysis of market structures with estimates for various segmentations and segments. The report also focuses new trends, major drivers, challenges, as well as opportunities. The report provides all necessary information needed to thrive in the Artificial Intelligence (AI) Supercomputer industry. 

This report is about Artificial Intelligence (AI) Supercomputer market research provides a complete analysis, which includes a comprehensive analysis of the current and future trends in the market. The use of AI supercomputers to be used within financial establishments is increasing. Financial institutions utilize AI supercomputers to evaluate and manage risk through the analysis of the past, trends in markets as well as economic and market indicators.

AI supercomputers employ advanced machine learning algorithms that detect fraud in real-time. They look at patterns of transactions and detect anomalies that could suggest fraudulent activity, assisting to safeguard both the institution as well as its customers. AI models are usually huge and complex, and require a significant amount of computing power to run and train. AI supercomputers usually have thousands of GPUs (graphics processing units) or even CPUs (central processing units) to provide the needed computing power. 

A processor is specifically designed to provide the computing capacity required to build and run AI models. It can also speed up AI inference which assists the AI model make predictions with new data. AI supercomputers make use of parallel processing to run and train AI models. That means the AI model is broken down into smaller pieces, and each one is processed by a different processor. This lets AI models to be developed and run quicker. In general, processors and compute are crucial for AI supercomputers as they enable them to run and train huge and complex AI models.

Artificial Intelligence (AI) Supercomputer Market Dynamics

Growth Drivers: Increasing use of AI supercomputers in the health sector

The use of AI supercomputers in the field of healthcare has seen a significant increase during the past few years. These supercomputers are used to tackle difficult issues, improve research in medicine, improve patient care and streamlining the healthcare process. AIsupercomputers speed up the discovery of drugs by simulating molecular interactions forecasting potential drug candidates and analyzing the actions of chemicals. They study massive amounts of data to determine the most effective targets for treatment and optimize the design of drugs, ultimately speeding up the process of developing drugs. Furthermore, AI supercomputers also enable the analysis of huge genome-wide data, which allows researchers to discover genetic markers for disease and understanding genetic variations and customize treatment strategies. This helps in precision medicine as well as enhancing the ability to diagnose.

Restraints

Restrictions: Expensive cost of acquisition and maintenance

The large maintenance and acquisition costs that are associated with AI supercomputers may be a major constraint for some businesses. Building or purchasing an AI supercomputer will require a significant initial capital investment. The price includes the hardware, specialized equipment for cooling, as well as power infrastructure and data center facilities that are specifically designed for. AI supercomputers are dependent on specific hardware components such as the top-of-the-line GPUs, TPUs or FPGAs. These are expensive. In addition, as technology advances and hardware is upgraded, it will have to be replaced or upgraded in order to meet the needs of more advanced AI models.

Competitive Landscape of the Artificial Intelligence (AI) Supercomputer Market

NIVIDIA Corporation (US), Intel Corporation (US), Advanced Micro Devices, Inc. (US), Samsung Electronics (South Korea), Micron Technology, Inc. (US), IBM Corporation (US), Meta (US) Google (US), Dell Inc. (US), Microsoft (US), Huawei Technologies Co., Ltd. (China) Cerebras (US).

New Developments

November 28, 2023: AWS and NVIDIA Announce Strategic Collaboration to Offer New Supercomputing Infrastructure, Software and Services for Generative AI Amazon Web Services, Inc. (AWS), an Amazon.com, Inc. company (NASDAQ: AMZN), and NVIDIA (NASDAQ: NVDA) today announced an expansion of their strategic collaboration to deliver the most-advanced infrastructure, software and services to power customers’ generative artificial intelligence (AI) innovations.

In july 2023 , Cerebras (US) announced the launch of Condor Galaxy 1, which is one of the largest AI supercomputers. It consists of a network of nine interconnected supercomputers with a lesser AI model training time significantly, with a total capacity of 36 exaflops.

Artificial Intelligence (AI) Supercomputer Market Regional Insights

AI supercomputer market Asia Pacific estimated to grow at a rapid pace during the forecast time.

The AI supercomputer market in Asia Pacific has been studied for China, Japan, India and in the Rest of Asia Pacific. Asia Pacific is expected to be the biggest market part in the AI supercomputer market in the forecast time. The rise in the AI supercomputers market Asia Pacific is due in large part to the creation and deployment of AI supercomputers for government as well as research and academia. Countries such as China, Japan, and India are now world-class innovation centers, encouraging advanced research and development of AI technologies, such as AI supercomputing, such as AIRAWAT as well as Tianhe-3A. Furthermore it is expected that the smart city Development project in Japan is also an important factor in the development of the AI supercomputers market.

Segments Covered in the Artificial Intelligence (AI) Supercomputer Market

By Component

• Processors /Computer
• CPU
• GPU
• ASIC
• FPGA
• Storage
• Memory
• Interconnects

By Application

• Government
• Academia and Research
• Commercial
• Generative AI
• Computer Vision
• Drug Discovery
• Others

Frequently Asked Questions:

How big Artificial Intelligence (AI) Supercomputer Market?

Artificial Intelligence (AI) Supercomputer Market is expected to grow rapidly at a 22.3% CAGR consequently, it will grow from its existing size of from $1.4 billion in 2023 to $ 3.4 billion by 2030.

What is the future outlook for the Artificial Intelligence (AI) Supercomputer Market?

The integration of AI technologies into various sectors, coupled with advancements in hardware and software, is expected to drive innovation and propel the AI supercomputer market forward. Factors such as increased computing power, enhanced energy efficiency, and the development of specialized hardware for AI tasks are anticipated to shape the future landscape of this market.

What applications do Artificial Intelligence (AI) Supercomputer have?

Artificial Intelligence (AI) supercomputers find applications across a diverse range of industries, showcasing their versatility and impact on various domains. In healthcare, AI supercomputers are employed for complex tasks such as medical image analysis, drug discovery, and personalized medicine, leveraging their immense processing power to handle vast datasets. In finance, these supercomputers play a crucial role in algorithmic trading, risk assessment, and fraud detection, optimizing decision-making processes.

Which Are the Top Companies Hold the Market Share in Artificial Intelligence (AI) Supercomputer Market?

The report profiles key players such as NIVIDIA Corporation (US), Intel Corporation (US), Advanced Micro Devices, Inc. (US), Samsung Electronics (South Korea), Micron Technology, Inc. (US), IBM Corporation (US), Meta (US) Google (US), Dell Inc. (US), Microsoft (US), Huawei Technologies Co., Ltd. (China) Cerebras (US).

Report Features

This report gives the most complete information. The report on Artificial Intelligence (AI) Supercomputer format has been designed so that it can provide the best value to the business. It offers crucial insights into the market’s dynamic and will aid in strategic decision-making for current players as well as those looking to join the market.

What Deliverables Will You Get in this Report?

Table Of Content

• 1.1 STUDY OBJECTIVES
• 1.2 MARKET DEFINITION

• 2.1 INCLUSIONS AND EXCLUSIONS

• 1.3 STUDY SCOPE

• 3.1 MARKETS COVERED
• FIGURE 1 AI SUPERCOMPUTER MARKET: SEGMENTATION
• 3.2 REGIONAL SCOPE
• 3.3 YEARS CONSIDERED

• 1.4 CURRENCY CONSIDERED

• 4.1 USD EXCHANGE RATES

• 1.5 UNITS CONSIDERED
• 1.6 LIMITATIONS
• 1.7 STAKEHOLDERS
• 1.8 IMPACT OF RECESSION

• 2.1 RESEARCH APPROACH

• FIGURE 2 AI SUPERCOMPUTER MARKET: RESEARCH DESIGN
• 1.1 SECONDARY AND PRIMARY RESEARCH
• FIGURE 3 AI SUPERCOMPUTER MARKET: RESEARCH APPROACH
• 1.2 SECONDARY DATA
  • 1.2.1 Key Data From Secondary Sources
  • 1.2.2 List Of Major Secondary Sources
• 1.3 PRIMARY DATA
  • 1.3.1 Primary Interviews With Experts
  • 1.3.2 Key Data From Primary Sources
  • 1.3.3 Key Industry Insights
  • 1.3.4 List Of Key Primary Respondents
  • 1.3.5 Breakdown Of Primaries

• 2.2 MARKET SIZE ESTIMATION

• FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY: SUPPLY SIDE
• 2.1 BOTTOM-UP APPROACH
  • 2.1.1 Approach To Derive Market Size Using Bottom-Up Analysis (Demand Side)
• FIGURE 5 AI SUPERCOMPUTER MARKET: BOTTOM-UP APPROACH
• 2.2 TOP-DOWN APPROACH
  • 2.2.1 Approach To Derive Market Size Using Top-Down Analysis (Supply Side)
• FIGURE 6 AI SUPERCOMPUTER MARKET: TOP-DOWN APPROACH

• 2.3 MARKET BREAKDOWN AND DATA TRIANGULATION

• FIGURE 7 DATA TRIANGULATION

• 2.4 RESEARCH ASSUMPTIONS
• 2.5 PARAMETERS CONSIDERED TO ANALYZE IMPACT OF RECESSION ON AI SUPERCOMPUTER MARKET
• 2.6 RISK ASSESSMENT

• FIGURE 8 MEMORY SEGMENT TO EXHIBIT HIGHEST CAGR DURING FORECAST PERIOD
• FIGURE 9 GOVERNMENT SEGMENT TO SECURE LARGEST MARKET SHARE DURING FORECAST PERIOD
• FIGURE 10 AI SUPERCOMPUTER MARKET, BY REGION, 2022

• 4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN AI SUPERCOMPUTER MARKET

• FIGURE 11 INCREASING APPLICATIONS OF AI SUPERCOMPUTERS IN HEALTHCARE SECTOR TO BOOST MARKET GROWTH

• 4.2 AI SUPERCOMPUTER MARKET, BY COMPONENT

• FIGURE 12 MEMORY SEGMENT TO REGISTER HIGHEST CAGR FROM 2023 TO 2028

• 4.3 AI SUPERCOMPUTER MARKET, BY APPLICATION

• FIGURE 13 GOVERNMENT SEGMENT TO HOLD LARGEST MARKET SHARE FROM 2023 TO 2028

• 4.4 AI SUPERCOMPUTER MARKET IN ASIA PACIFIC, BY APPLICATION AND COUNTRY

• FIGURE 14 GOVERNMENT AND CHINA HELD LARGEST MARKET SHARES IN 2022

• 4.5 AI SUPERCOMPUTER MARKET, BY COUNTRY

• FIGURE 15 INDIA TO EXHIBIT HIGHEST CAGR DURING FORECAST PERIOD

• 5.1 INTRODUCTION
• 5.2 MARKET DYNAMICS

• FIGURE 16 AI SUPERCOMPUTER MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
• 2.1 DRIVERS
• FIGURE 17 AI SUPERCOMPUTER MARKET: IMPACT ANALYSIS OF DRIVERS
  • 2.1.1 Increased Application Of AI Supercomputers In Healthcare Industry
  • 2.1.2 Development Of Complex AI Models
  • 2.1.3 High Computational Power Of AI Supercomputers
  • 2.1.4 Usage Of AI Supercomputers In Financial Institutions
• 2.2 RESTRAINTS
• FIGURE 18 AI SUPERCOMPUTER MARKET: IMPACT ANALYSIS OF RESTRAINTS
  • 2.2.1 High Acquisition And Maintenance Costs
  • 2.2.2 Lack Of AI Hardware Experts And Skilled Workforce
• 2.3 OPPORTUNITIES
• FIGURE 19 AI SUPERCOMPUTER MARKET: IMPACT ANALYSIS OF OPPORTUNITIES
  • 2.3.1 Contribution Of AI To Development And Deployment Of Autonomous Vehicles
  • 2.3.2 Adoption Of Cloud-Based AI Services By Several Organizations And Researchers
• 2.4 CHALLENGES
• FIGURE 20 AI SUPERCOMPUTER MARKET: IMPACT ANALYSIS OF CHALLENGES
  • 2.4.1 Long Development And Deployment Cycles
  • 2.4.2 Complexities Associated With Hardware And Software Integration

• 5.3 VALUE CHAIN ANALYSIS

• FIGURE 21 AI INFRASTRUCTURE MARKET: VALUE CHAIN ANALYSIS

• 5.4 TRENDS/DISRUPTIONS IMPACTING CUSTOMERS’ BUSINESSES

• FIGURE 22 TRENDS/DISRUPTIONS IMPACTING CUSTOMERS’ BUSINESSES

• 5.5 ECOSYSTEM MAPPING

• FIGURE 23 AI SUPERCOMPUTER MARKET: ECOSYSTEM MAPPING
• TABLE 1 COMPANIES AND THEIR ROLE IN AI SUPERCOMPUTER ECOSYSTEM

• 5.6 PORTER’S FIVE FORCES ANALYSIS

• TABLE 2 AI SUPERCOMPUTER MARKET: PORTER’S FIVE FORCES ANALYSIS
• FIGURE 24 AI SUPERCOMPUTER MARKET: PORTER’S FIVE FORCES ANALYSIS
• 6.1 THREAT OF NEW ENTRANTS
• 6.2 THREAT OF SUBSTITUTES
• 6.3 BARGAINING POWER OF SUPPLIERS
• 6.4 BARGAINING POWER OF BUYERS
• 6.5 INTENSITY OF COMPETITIVE RIVALRY

• 5.7 KEY STAKEHOLDERS AND BUYING CRITERIA

• 7.1 KEY STAKEHOLDERS IN BUYING PROCESS
• FIGURE 25 KEY STAKEHOLDERS IN BUYING PROCESS FOR TOP THREE APPLICATIONS
• TABLE 3 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE APPLICATIONS
• 7.2 BUYING CRITERIA
• FIGURE 26 KEY BUYING CRITERIA FOR TOP THREE APPLICATIONS
• TABLE 4 KEY BUYING CRITERIA FOR TOP THREE APPLICATIONS

• 5.8 CASE STUDY ANALYSIS

• 8.1 MEMORIAL SLOAN-KETTERING CANCER CENTER DEPLOYS IBM WATSON’S “COGNITIVE COMPUTING” TO SORT MEDICAL DATA
• 8.2 BRADESCO (BRAZILIAN BANK) DEPLOYS IBM’S AI-ENABLED COMPUTER SYSTEM TO UNDERSTAND WRITTEN AND SPOKEN QUESTIONS
• 8.3 EXOR INTERNATIONAL COLLABORATES WITH INTEL, TELECOM ITALIA (TIM), AND JMA WIRELESS TO BUILD SMART FACTORY

• 5.9 TECHNOLOGY ANALYSIS

• 9.1 KEY TECHNOLOGIES
  • 9.1.1 Green Computing
  • 9.1.2 Cloud Gpus

• 5.10 TRADE ANALYSIS

• 10.1 IMPORT SCENARIO
• FIGURE 27 IMPORT DATA FOR PRODUCTS UNDER HS CODE 854231, BY COUNTRY, 2018-2023 (USD MILLION)
• TABLE 5 IMPORT DATA, BY COUNTRY, 2018-2023 (USD MILLION)
• 10.2 EXPORT SCENARIO
• FIGURE 28 EXPORT DATA FOR PRODUCTS UNDER HS CODE 854231, BY COUNTRY, 2018-2023 (USD MILLION)
• TABLE 6 EXPORT DATA, BY COUNTRY, 2018-2023 (USD MILLION)

• 5.11 TARIFF ANALYSIS

• TABLE 7 TARIFF FOR HS CODE 854231-COMPLIANT PRODUCTS EXPORTED BY CHINA
• TABLE 8 TARIFF FOR HS CODE 854231-COMPLIANT PRODUCTS EXPORTED BY GERMANY
• TABLE 9 TARIFF FOR HS CODE 854231-COMPLIANT PRODUCTS EXPORTED BY FRANCE

• 5.12 PATENT ANALYSIS

• TABLE 10 AI SUPERCOMPUTER MARKET: LIST OF PATENTS, 2020-2023
• FIGURE 29 NUMBER OF PATENTS GRANTED PER YEAR,2018-2023
• TABLE 11 TOP 20 PATENT OWNERS IN US IN LAST 10 YEARS
• FIGURE 30 TOP 10 COMPANIES WITH HIGHEST NUMBER OF PATENT APPLICATIONS IN LAST 10 YEARS

• 5.13 REGULATORY LANDSCAPE AND STANDARDS

• 13.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
• TABLE 12 NORTH AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
• TABLE 13 EUROPE: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
• TABLE 14 ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
• TABLE 15 ROW: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
• 13.2 STANDARDS

• 5.14 KEY CONFERENCES AND EVENTS, 2023-2024

• TABLE 16 AI SUPERCOMPUTER MARKET: LIST OF CONFERENCES AND EVENTS

• 5.15 PRICING ANALYSIS

• TABLE 17 AVERAGE SELLING PRICE (ASP) OF PROCESSORS/COMPUTE FOR AI SUPERCOMPUTERS OFFERED BY TWO KEY PLAYERS
• 15.1 AVERAGE SELLING PRICE (ASP) OF PROCESSORS/COMPUTE OFFERED BY TWO KEY PLAYERS
• FIGURE 31 AVERAGE SELLING PRICE (ASP) OF PROCESSORS/COMPUTE OFFERED BY TWO KEY PLAYERS
• 15.2 AVERAGE SELLING PRICE (ASP) TREND, BY COMPONENT
• FIGURE 32 AVERAGE SELLING PRICE (ASP) OF CPUS & GPUS

• 6.1 INTRODUCTION

• FIGURE 33 MEMORY SEGMENT TO EXHIBIT HIGHEST CAGR DURING FORECAST PERIOD
• TABLE 18 AI SUPERCOMPUTER MARKET, BY COMPONENT, 2019-2022 (USD MILLION)
• TABLE 19 AI SUPERCOMPUTER MARKET, BY COMPONENT, 2023-2030 (USD MILLION)

• 6.2 PROCESSORS/COMPUTE

• TABLE 20 PROCESSORS/COMPUTE: AI SUPERCOMPUTER MARKET, BY TYPE, 2019-2022 (USD MILLION)
• TABLE 21 PROCESSORS/COMPUTE: AI SUPERCOMPUTER MARKET, BY TYPE, 2023-2030 (USD MILLION)
• TABLE 22 PROCESSORS/COMPUTE: AI SUPERCOMPUTER MARKET, BY REGION, 2019-2022 (USD MILLION)
• TABLE 23 PROCESSORS/COMPUTE: AI SUPERCOMPUTER MARKET, BY REGION, 2023-2030 (USD MILLION)
• 2.1 CENTRAL PROCESSING UNITS (CPUS)
  • 2.1.1 Growing Demand For Realistic And Immersive Gaming Experiences To Foster Segmental Growth
• 2.2 GRAPHICS PROCESSING UNITS (GPUS)
  • 2.2.1 Ability To Process Multiple Layers And Millions Of Parameters In Parallel To Drive Market
• TABLE 24 COMPONENT: AI SUPERCOMPUTER MARKET FOR CPUS & GPUS, 2019-2022 (THOUSAND UNITS)
• TABLE 25 COMPONENT: AI SUPERCOMPUTER MARKET FOR CPUS & GPUS, 2023-2030 (THOUSAND UNITS)
• 2.3 APPLICATION-SPECIFIC INTEGRATED CIRCUITS (ASICS)
  • 2.3.1 Ability To Enhance To Overall Performance And Competitiveness Of AI Supercomputing Systems To Foster Segmental Growth
• 2.4 FIELD-PROGRAMMABLE GATE ARRAYS (FPGAS)
  • 2.4.1 Potential To Quickly Test New And Updated Algorithms To Boost Demand

• 6.3 STORAGE

• 3.1 EFFICIENT MANAGEMENT AND HANDLING OF VAST AMOUNT OF DATA TO DRIVE MARKET
• FIGURE 34 ASIA PACIFIC TO HOLD LARGEST SHARE OF AI SUPERCOMPUTER MARKET FOR STORAGE IN 2028
• TABLE 26 STORAGE: AI SUPERCOMPUTER MARKET, BY REGION, 2019-2022 (USD MILLION)
• TABLE 27 STORAGE: AI SUPERCOMPUTER MARKET, BY REGION, 2023-2030 (USD MILLION)

• 6.4 MEMORY

• 4.1 NEED TO OPTIMIZE DATA TRANSFER BETWEEN CPU AND GPU MEMORY TO DRIVE MARKET
• TABLE 28 MEMORY: AI SUPERCOMPUTER MARKET, BY REGION, 2019-2022 (USD MILLION)
• TABLE 29 MEMORY: AI SUPERCOMPUTER MARKET, BY REGION, 2023-2030 (USD MILLION)

• 6.5 INTERCONNECTS

• 5.1 ABILITY TO SEAMLESSLY COMMUNICATE AND SHARE DATA BETWEEN HETEROGENEOUS COMPUTING RESOURCES TO BOOST DEMAND
• TABLE 30 INTERCONNECTS: AI SUPERCOMPUTER MARKET, BY REGION, 2019-2022 (USD MILLION)
• TABLE 31 INTERCONNECTS: AI SUPERCOMPUTER MARKET, BY REGION, 2023-2030 (USD MILLION)

• 7.1 INTRODUCTION
• 7.2 CLOUD

• 2.1 REDUCED OPERATIONAL COSTS, EASY DEPLOYMENT, AND HIGH SCALABILITY TO DRIVE DEMAND

• 7.3 ON-PREMISES

• 3.1 CUSTOM DESIGN AND CONFIGURATION WITH SPECIFIC COMPUTATIONAL REQUIREMENTS OF AI WORKLOADS TO DRIVE DEMAND

• 8.1 INTRODUCTION

• FIGURE 35 COMMERCIAL APPLICATION TO EXHIBIT HIGHEST CAGR DURING FORECAST PERIOD
• TABLE 32 APPLICATION: AI SUPERCOMPUTER MARKET, 2019-2022 (USD MILLION)
• TABLE 33 APPLICATION: AI SUPERCOMPUTER MARKET, 2023-2030 (USD MILLION)

• 8.2 GOVERNMENT

• 2.1 RISING CYBERSECURITY THREATS TO DRIVE MARKET
• TABLE 34 GOVERNMENT: AI SUPERCOMPUTER MARKET, BY REGION, 2019-2022 (USD MILLION)
• TABLE 35 GOVERNMENT: AI SUPERCOMPUTER MARKET, BY REGION, 2023-2030 (USD MILLION)

• 8.3 ACADEMIA AND RESEARCH

• 3.1 GROWING NEED TO RESOLVE COMPLEX SCIENTIFIC PROBLEMS TO DRIVE MARKET
• TABLE 36 ACADEMIA AND RESEARCH: AI SUPERCOMPUTER MARKET, BY REGION, 2019-2022 (USD MILLION)
• TABLE 37 ACADEMIA AND RESEARCH: AI SUPERCOMPUTER MARKET, BY REGION, 2023-2030 (USD MILLION)

• 8.4 COMMERCIAL

• FIGURE 36 NORTH AMERICA TO HOLD LARGEST MARKET SHARE OF AI SUPERCOMPUTER FOR COMMERCIAL APPLICATION FROM IN 2028
• TABLE 38 COMMERCIAL: AI SUPERCOMPUTER MARKET, BY REGION, 2019-2022 (USD MILLION)
• TABLE 39 COMMERCIAL: AI SUPERCOMPUTER MARKET, BY REGION, 2023-2030 (USD MILLION)
• 4.1 GENERATIVE AI
  • 4.1.1 Ability To Offer Realistic Images And Videos In Entertainment Industry To Boost Demand
• 4.2 COMPUTER VISION
  • 4.2.1 Semiautonomous And Autonomous Cars To Create Lucrative Opportunities For Market Players
• 4.3 DRUG DISCOVERY
  • 4.3.1 Ability To Accelerate And Optimize Drug Discovery To Boost Demand
• 4.4 OTHERS

• 9.1 INTRODUCTION

• FIGURE 37 ASIA PACIFIC TO ACCOUNT FOR HIGHEST CAGR DURING FORECAST PERIOD
• FIGURE 38 ASIA PACIFIC TO HOLD LARGEST MARKET SHARE IN 2028
• TABLE 40 AI SUPERCOMPUTER MARKET, BY REGION, 2019-2022 (USD MILLION)
• TABLE 41 AI SUPERCOMPUTER MARKET, BY REGION, 2023-2030 (USD MILLION)

• 9.2 NORTH AMERICA

• 2.1 IMPACT OF RECESSION ON NORTH AMERICA
• FIGURE 39 NORTH AMERICA: AI SUPERCOMPUTER MARKET SNAPSHOT
• TABLE 42 NORTH AMERICA: AI SUPERCOMPUTER MARKET, BY COUNTRY, 2019-2022 (USD MILLION)
• TABLE 43 NORTH AMERICA: AI SUPERCOMPUTER MARKET, BY COUNTRY, 2023-2030 (USD MILLION)
• TABLE 44 NORTH AMERICA: AI SUPERCOMPUTER MARKET, BY COMPONENT, 2019-2022 (USD MILLION)
• TABLE 45 NORTH AMERICA: AI SUPERCOMPUTER MARKET, BY COMPONENT, 2023-2030 (USD MILLION)
• TABLE 46 NORTH AMERICA: AI SUPERCOMPUTER MARKET, BY APPLICATION, 2019-2022 (USD MILLION)
• TABLE 47 NORTH AMERICA: AI SUPERCOMPUTER MARKET, BY APPLICATION, 2023-2030 (USD MILLION)
• 2.2 US
  • 2.2.1 Growing Private Sector Investments In Developing Computing Systems To Drive Market
• 2.3 CANADA
  • 2.3.1 Government-Led Funding For Research And Development Of AI Technologies And Supercomputing To Boost Demand

• 9.3 EUROPE

• 3.1 IMPACT OF RECESSION ON EUROPE
• FIGURE 40 EUROPE: AI SUPERCOMPUTER MARKET SNAPSHOT
• TABLE 48 EUROPE: AI SUPERCOMPUTER MARKET, BY COUNTRY, 2019-2022 (USD MILLION)
• TABLE 49 EUROPE: AI SUPERCOMPUTER MARKET, BY COUNTRY, 2023-2030 (USD MILLION)
• TABLE 50 EUROPE: AI SUPERCOMPUTER MARKET, BY COMPONENT, 2019-2022 (USD MILLION)
• TABLE 51 EUROPE: AI SUPERCOMPUTER MARKET, BY COMPONENT, 2023-2030 (USD MILLION)
• TABLE 52 EUROPE: AI SUPERCOMPUTER MARKET, BY APPLICATION, 2019-2022 (USD MILLION)
• TABLE 53 EUROPE: AI SUPERCOMPUTER MARKET, BY APPLICATION, 2023-2030 (USD MILLION)
• 3.2 UK
  • 3.2.1 Government-Led Initiatives For Increasing Adoption Of AI To Drive Market Growth
• 3.3 GERMANY
  • 3.3.1 Introduction Of Industry 4.0 Technologies To Boost Market Growth
• 3.4 FRANCE
  • 3.4.1 Growing Government Funding To Startups To Drive Market
• 3.5 REST OF EUROPE

• 9.4 ASIA PACIFIC

• 4.1 IMPACT OF RECESSION ON ASIA PACIFIC
• FIGURE 41 ASIA PACIFIC: AI SUPERCOMPUTER MARKET SNAPSHOT
• TABLE 54 ASIA PACIFIC: AI SUPERCOMPUTER MARKET, BY COUNTRY, 2019-2022 (USD MILLION)
• TABLE 55 ASIA PACIFIC: AI SUPERCOMPUTER MARKET, BY COUNTRY, 2023-2030 (USD MILLION)
• TABLE 56 ASIA PACIFIC: AI SUPERCOMPUTER MARKET, BY COMPONENT, 2019-2022 (USD MILLION)
• TABLE 57 ASIA PACIFIC: AI SUPERCOMPUTER MARKET, BY COMPONENT, 2023-2030 (USD MILLION)
• TABLE 58 ASIA PACIFIC: AI SUPERCOMPUTER MARKET, BY APPLICATION, 2019-2022 (USD MILLION)
• TABLE 59 ASIA PACIFIC: AI SUPERCOMPUTER MARKET, BY APPLICATION, 2023-2030 (USD MILLION)
• 4.2 CHINA
  • 4.2.1 Government-Led Investments In Development AI Technologies To Drive Market
• 4.3 JAPAN
  • 4.3.1 Growing Deployment Of Robots In Healthcare Sector To Drive Demand
• 4.4 INDIA
  • 4.4.1 Growing Investment In AI-Specific Supercomputers To Drive Market
• 4.5 REST OF ASIA PACIFIC

• 9.5 ROW

• 5.1 IMPACT OF RECESSION ON ROW
• FIGURE 42 ROW: AI SUPERCOMPUTER MARKET SNAPSHOT
• TABLE 60 ROW: AI SUPERCOMPUTER MARKET, BY COMPONENT, 2019-2022 (USD MILLION)
• TABLE 61 ROW: AI SUPERCOMPUTER MARKET, BY COMPONENT, 2023-2030 (USD MILLION)
• TABLE 62 ROW: AI SUPERCOMPUTER MARKET, BY APPLICATION, 2019-2022 (USD MILLION)
• TABLE 63 ROW: AI SUPERCOMPUTER MARKET, BY APPLICATION, 2023-2030 (USD MILLION)
• 5.2 MIDDLE EAST & AFRICA
  • 5.2.1 Increasing R&D Investments In AI Technology To Drive Market
• 5.3 SOUTH AMERICA
  • 5.3.1 Increasing Public-Private Partnerships To Boost Demand

• 10.1 OVERVIEW
• 10.2 KEY STRATEGIES ADOPTED BY MAJOR PLAYERS

• TABLE 64 AI SUPERCOMPUTER MARKET: OVERVIEW OF STRATEGIES ADOPTED BY KEY PLAYERS

• 10.3 MARKET SHARE ANALYSIS, 2022

• FIGURE 43 AI SUPERCOMPUTER MARKET SHARE ANALYSIS, 2022
• TABLE 65 AI SUPERCOMPUTER MARKET SHARE ANALYSIS, 2022

• 10.4 REVENUE ANALYSIS, 2020-2022

• FIGURE 44 REVENUE ANALYSIS OF FIVE KEY PLAYERS, 2020-2022

• 10.5 COMPANY EVALUATION MATRIX, 2022

• 5.1 STARS
• 5.2 EMERGING LEADERS
• 5.3 PERVASIVE PLAYERS
• 5.4 PARTICIPANTS
• FIGURE 45 AI SUPERCOMPUTER MARKET: COMPANY EVALUATION MATRIX, 2022

• 10.6 STARTUPS/SMALL AND MEDIUM-SIZED ENTERPRISES (SMES) EVALUATION MATRIX, 2022

• TABLE 66 DETAILED LIST OF KEY START-UPS/SMES
• 6.1 PROGRESSIVE COMPANIES
• 6.2 RESPONSIVE COMPANIES
• 6.3 DYNAMIC COMPANIES
• 6.4 STARTING BLOCKS
• FIGURE 46 AI SUPERCOMPUTER MARKET: START-UPS/SMES EVALUATION MATRIX, 2022

• 10.7 COMPETITIVE BENCHMARKING

• TABLE 67 AI SUPERCOMPUTER MARKET: COMPETITIVE BENCHMARKING OF KEY START-UPS/SME
• TABLE 68 AI SUPERCOMPUTER MARKET: DETAILED LIST OF KEY START-UPS/SMES

• 10.8 COMPANY FOOTPRINT

• TABLE 69 COMPANY FOOTPRINT
• TABLE 70 COMPONENT: COMPANY FOOTPRINT
• TABLE 71 APPLICATION: COMPANY FOOTPRINT
• TABLE 72 REGION: COMPANY FOOTPRINT

• 10.9 COMPETITIVE SCENARIOS AND TRENDS

• 9.1 PRODUCT LAUNCHES
• TABLE 73 AI SUPERCOMPUTER MARKET, PRODUCT LAUNCHES, 2020-2023
• 9.2 DEALS
• TABLE 74 DEALS, 2020-2023

• 11.1 KEY PLAYERS
• (Business Overview, Products/Solutions/Services Offered, Recent Developments, Product Launches, Deals, Mnm View, Key Strengths/Right To Win, Strategic Choices Made, And Weaknesses/Competitive Threats)**

• 1.1 NVIDIA CORPORATION
• TABLE 75 NVIDIA CORPORATION: COMPANY OVERVIEW
• FIGURE 47 NVIDIA CORPORATION: COMPANY SNAPSHOT
• TABLE 76 NVIDIA CORPORATION: PRODUCTS/SOLUTIONS/SERVICES OFFERED
• TABLE 77 NVIDIA CORPORATION: PRODUCT LAUNCHES
• TABLE 78 NVIDIA CORPORATION: DEALS
• 1.2 INTEL CORPORATION
• TABLE 79 INTEL CORPORATION: COMPANY OVERVIEW
• FIGURE 48 INTEL CORPORATION: COMPANY SNAPSHOT
• TABLE 80 INTEL CORPORATION: PRODUCTS/SOLUTIONS/SERVICES OFFERED
• TABLE 81 INTEL CORPORATION: PRODUCT LAUNCHES
• TABLE 82 INTEL CORPORATION: DEALS
• 1.3 ADVANCED MICRO DEVICES, INC.
• TABLE 83 ADVANCED MICRO DEVICES, INC.: COMPANY OVERVIEW
• FIGURE 49 ADVANCED MICRO DEVICES, INC.: COMPANY SNAPSHOT
• TABLE 84 ADVANCED MICRO DEVICES, INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
• TABLE 85 ADVANCED MICRO DEVICES, INC.: PRODUCT LAUNCHES
• TABLE 86 ADVANCED MICRO DEVICES, INC.: DEALS
• 1.4 SAMSUNG ELECTRONICS
• TABLE 87 SAMSUNG ELECTRONICS: COMPANY OVERVIEW
• FIGURE 50 SAMSUNG ELECTRONICS: COMPANY SNAPSHOT
• TABLE 88 SAMSUNG ELECTRONICS: PRODUCTS/SOLUTIONS/SERVICES OFFERED
• TABLE 89 SAMSUNG ELECTRONICS: PRODUCT LAUNCHES
• TABLE 90 SAMSUNG ELECTRONICS: DEALS
• 1.5 MICRON TECHNOLOGY, INC.
• TABLE 91 MICRON TECHNOLOGY, INC.: COMPANY OVERVIEW
• FIGURE 51 MICRON TECHNOLOGY, INC.: COMPANY SNAPSHOT
• TABLE 92 MICRON TECHNOLOGY, INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
• TABLE 93 MICRON TECHNOLOGY, INC.: PRODUCT LAUNCHES
• 1.6 IBM CORPORATION
• TABLE 94 IBM CORPORATION: COMPANY OVERVIEW
• FIGURE 52 IBM CORPORATION: COMPANY SNAPSHOT
• TABLE 95 IBM CORPORATION: PRODUCTS/SOLUTIONS/SERVICES OFFERED
• TABLE 96 IBM CORPORATION: PRODUCT LAUNCHES
• TABLE 97 IBM CORPORATION: DEALS
• 1.7 META
• TABLE 98 META: COMPANY OVERVIEW
• FIGURE 53 META: COMPANY SNAPSHOT
• TABLE 99 META: PRODUCTS/SOLUTIONS/SERVICES OFFERED
• 1.8 DELL INC.
• TABLE 100 DELL INC.: COMPANY OVERVIEW
• FIGURE 54 DELL INC.: COMPANY SNAPSHOT
• TABLE 101 DELL INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
• TABLE 102 DELL INC.: DEALS
• 1.9 GOOGLE
• TABLE 103 GOOGLE: COMPANY OVERVIEW
• FIGURE 55 GOOGLE: COMPANY SNAPSHOT
• TABLE 104 GOOGLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
• TABLE 105 GOOGLE: PRODUCT LAUNCHES
• TABLE 106 GOOGLE: DEALS
• 1.10 HUAWEI TECHNOLOGIES CO., LTD.
• TABLE 107 HUAWEI TECHNOLOGIES CO., LTD.: COMPANY OVERVIEW
• TABLE 108 HUAWEI TECHNOLOGIES CO., LTD.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
• TABLE 109 HUAWEI TECHNOLOGIES CO., LTD.: DEALS
• 1.11 MICROSOFT
• TABLE 110 MICROSOFT: COMPANY OVERVIEW
• FIGURE 56 MICROSOFT: COMPANY SNAPSHOT
• TABLE 111 MICROSOFT: PRODUCTS/SOLUTIONS/SERVICES OFFERED
• TABLE 112 MICROSOFT: PRODUCT LAUNCHES
• TABLE 113 MICROSOFT: DEALS
• 1.12 CEREBRAS
• TABLE 114 CEREBRAS: COMPANY OVERVIEW
• TABLE 115 CEREBRAS: PRODUCTS/SOLUTIONS/SERVICES OFFERED
• TABLE 116 CEREBRAS: PRODUCT LAUNCHES
• TABLE 117 CEREBRAS: DEALS

• 11.2 OTHER PLAYERS

• 2.1 HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
• 2.2 FUJITSU
• 2.3 PEZY GROUP
• 2.4 TESLA
• 2.5 ATOS SE
• 2.6 NEC CORPORATION
• 2.7 ORACLE
• 2.8 AMAZON WEB SERVICES, INC.
• 2.9 GROQ, INC.
• 2.10 MEDIATEK INC.
• 2.11 GRAPHCORE
• 2.12 SAMBANOVA SYSTEMS, INC.
• 2.13 KALRAY
• 2.14 KNERON, INC.
• 2.15 ARM LIMITED

• *Details On Business Overview, Products/Solutions/Services Offered, Recent Developments, Product Launches, Deals, View, Key Strengths/Right To Win, Strategic Choices Made, And Weaknesses/Competitive Threats Might Not Be Captured In Case Of Unlisted Companies.

• 12.1 DISCUSSION GUIDE
• 12.2 KNOWLEDGESTORE: FORINSIGHTSCONSULTANCY’ SUBSCRIPTION PORTAL
• 12.3 CUSTOMIZATION OPTIONS
• 12.4 RELATED REPORTS
• 12.5 AUTHOR DETAILS