Artificial Intelligence (AI) Supercomputer Market Size, Share, Industry Growth, Trends & Analysis by Components (Processors/Compute, Storage, Memory, Interconnects), Deployment (Cloud, On-Premises), Application (Government, Academia and Research, Commercial) and Geography – Global Forecast to 2028
The AI supercomputer market Size, Share, Industry Growth, Trends & Analysis is projected to grow from USD 1.2 billion in 2023 and is expected to reach USD 3.3 billion by 2028, growing at a CAGR of 22.0% from 2023 to 2028. The application of AI supercomputers in the healthcare sector has witnessed significant growth in recent years. These powerful computing systems are being leveraged to address complex challenges, enhance medical research, and streamline healthcare operations. AI supercomputers helps accelerate drug discovery by simulating molecular interactions, predicting potential drug candidates, and simulating the behavior of compounds. This aids in precision medicine and enhances diagnostic capabilities.
Artificial Intelligence (AI) Supercomputer Market Forecast to 2028
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AI supercomputers market Dynamics
Drivers: Increased application of AI supercomputers in healthcare industry
The application of AI supercomputers in the healthcare industry has witnessed significant growth in recent years. These powerful computing systems are being leveraged to address complex challenges, enhance medical research, improve patient care, and streamline healthcare operations. AI supercomputers accelerate drug discovery by simulating molecular interactions, predicting potential drug candidates, and simulating the behavior of compounds. They analyze massive datasets to identify targets for disease treatment and to optimize drug designs, ultimately expediting the drug development process. Moreover, AI supercomputers also enable the analysis of vast genomic datasets, helping researchers identify genetic markers for diseases, understand genetic variations, and personalize treatment plans. This aids in precision medicine and enhances diagnostic capabilities.
Restraint: High acquisition and maintenance costs
The high acquisition and maintenance costs associated with AI supercomputers can indeed act as a significant restraint for many organizations. Purchasing or building an AI supercomputer requires a substantial upfront capital investment. The cost includes the hardware and specialized cooling systems, power infrastructure, and dedicated data center facilities. AI supercomputers rely on specialized hardware components like high-end GPUs, TPUs, or FPGAs, which are costly. Additionally, as technology evolves, hardware may need to be upgraded or replaced to keep up with the demands of newer AI models.
Opportunity: Contribution of AI in development and deployment of autonomous vehicles
AI supercomputers play a crucial role in developing and deploying autonomous vehicles (AVs). These high-performance computing systems provide the computational power required to process sensor data, make real-time decisions, and ensure the safety and efficiency of AV (Autonomous vehicles) operations. For example, Tesla uses AI in its Autopilot and Full Self-Driving systems. These systems use a combination of cameras, radar, and lidar to create a model of the vehicle's surroundings and make decisions about how to navigate.
AI supercomputers are at the core of the AV ecosystem, facilitating the development, testing, and deployment of autonomous vehicles. Their computational power, parallel processing capabilities, and ability to handle complex AI algorithms are essential for ensuring autonomous transportation systems' safety, reliability, and efficiency.
Challenge: Long development and delployment cycles
Long development and deployment cycles are challenging for the AI supercomputer market. Building and configuring AI supercomputers can be a time-consuming process. Long development and deployment cycles may delay organizations' ability to capitalize on AI opportunities.
Longer development cycles often lead to higher development costs, as organizations must allocate resources to maintain and upgrade existing infrastructure while waiting for new systems to be deployed. Eventually, organizations spend more time on maintenance and development and less on AI research and application development, which affects the market position of the organization in the competitive market of AI.
AI Infrastructure Map/Ecosystem:
Market for Processors/compute is expected to have largest market share during the forecast period.
Prcessors with faster and higher compute power provides the ability to AI supercomputers to handle larger and complex models and aids in reducing the time it takes to train and run AI models. AI supercomputers with high computational power processors are used for a wider range of applications. This includes applications that require large and complex AI models, such as drug discovery, climate change research, and financial modelling.
Market for Government segment in the AI supercomputer to have largest market size during the forecast period
The Government segment in the AI supercomputer market for application is expected to hold the largest market size during the forecast period in the AI supercomputer market. AI supercomputers can be used to detect fraud in a variety of areas, such as tax evasion, insurance fraud, and welfare fraud. For example, the US Internal Revenue Service (IRS) is using AI supercomputers to detect tax evasion. Moreover, AI supercomputers are also being used to coordinate disaster relief efforts and provide assistance to victims of disasters. For example, the US Federal Emergency Management Agency (FEMA) is using AI supercomputers to coordinate disaster relief efforts during hurricanes and other natural disasters. In this sector, AI supercomputers are being used for various applications, including disaster management, oil exploration, space, and energy research, and enhancing healthcare facilities.
Commercial application segment is expected to hold the highest growth rate in the AI supercomputer market during the forecast period
Commercial enterprises are increasingly utilizing AI supercomputers for various applications, leveraging their immense computational power and advanced algorithms to gain competitive advantages and drive innovation. AI supercomputers process vast datasets in real time, providing valuable insights into customer behavior, market trends, and operational efficiency. This data-driven approach enhances decision-making processes for businesses.
AI supercomputer market in the Asia Pacific estimated to grow at the fastest rate during the forecast period.
The AI supercomputer market in the Asia Pacific has been studied for China, Japan, India, and the Rest of Asia Pacific. Asia Pacific is expected to hold the largest market share of the AI supercomputer market during the forecast period. The growth of the AI supercomputer market in this region is primarily attributed to the development and deployment of AI supercomputers for government and academia and research. Countries like China, Japan, and India have become global innovation hubs, fostering cutting-edge research and development in AI technologies, including AI supercomputing such as AIRAWAT and Tianhe-3A. Moreover, the Smart City Development initiative in Japan would also be a major driver for the country's growth of the AI supercomputer market.
Artificial Intelligence (AI) Supercomputer Market by Region
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Key Market Players
Major vendors in the AI supercomputer companis include 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).
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Report Metric |
Details |
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Market size available for years |
2019—2028 |
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Base year |
2022 |
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Forecast period |
2023—2028 |
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Forecast Units |
USD Million/USD Billion |
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Segments Covered |
Component, Application, and Region |
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Geographic regions covered |
North America, Europe, Asia Pacific, and RoW |
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Companies covered |
NVIDIA 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), Hewlett Packard Enterprise Development LP (US), Fujitsu (Japan), Pezy Group (Netherlands), Tesla (US), Atos SE (France), NEC Corporation (Japan), Oracle (US), Amazon Web Services, Inc. (US), Groq, Inc. (US), MediaTek Inc. (Taiwan), Graphcore (UK), SambaNova Systems Inc. (US), Kalray (France), Kneron Inc. (US), Arm Ltd.(UK) . |
Artificial Intelligence (AI) Supercomputer Market Highlights
This research report categorizes the AI supercomputer market based on component, application and region.
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Segment |
Subsegment |
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By Component |
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By Application |
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By Region: |
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Recent Developments
- 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.
- In May 2023, NVIDIA Corporation (US) announced a new class of large-memory AI supercomputer, the NVIDIA DGX GH200. Its massive shared memory space uses NVLink interconnect technology with the NVLink Switch System to combine 256 GH200 Superchips, allowing them to perform as a single GPU.
Critical questions answered by this report :
What are the key strategies adopted by key companies in the AI supercomputer market?
Product launches, acquisitions, and collaborations have been and continue to be some of the major strategies adopted by the key players to grow in the AI supercomputer market.
What region dominates the AI supercomputer market?
The Asia Pacific region will dominate the AI supercomputer market.
What application dominates the AI supercomputer market?
The Government segment is expected to dominate the AI supercomputer market.
Which component dominates the AI supercomputer market?
The Processors/compute segment is expected to have the largest market size during the forecast period.
Who are the major companies in the AI supercomputer market?
The major players in the AI supercomputer include NIVIDIA Corporation (US), Intel Corporation (US), Advanced Micro Devices, Inc. (US), Samsung Electronics (South Korea), Micron Technology, Inc. (US)
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The research process for this study included systematic gathering, recording, and analysis of data about customers and companies operating in the AI supercomputer market. This process involved the extensive use of secondary sources, directories, and databases (Factiva, Oanda, and OneSource) for identifying and collecting valuable information for the comprehensive, technical, market-oriented, and commercial study of the AI supercomputer market. In-depth interviews were conducted with primary respondents, including experts from core and related industries and preferred manufacturers, to obtain and verify critical qualitative and quantitative information as well as to assess growth prospects. Key players in the AI supercomputer market were identified through secondary research, and their market rankings were determined through primary and secondary research. This research included studying annual reports of top players and interviewing key industry experts such as CEOs, directors, and marketing executives.
Secondary Research:
In the secondary research process, various sources were used to identify and collect information important for this study. These include annual reports, press releases & investor presentations of companies, white papers, technology journals, certified publications, articles by recognized authors, directories, and databases.
Secondary research was mainly used to obtain key information about the industry's supply chain, the total pool of market players, the classification of the market according to industry trends to the bottom-most level, regional markets, and key developments from the market and technology-oriented perspectives.
Primary Research
Primary research was also conducted to identify the segmentation types, key players, competitive landscape, and key market dynamics, such as drivers, restraints, opportunities, challenges, and industry trends, along with key strategies adopted by players operating in the AI supercomputer market. Extensive qualitative and quantitative analyses were performed on the complete market engineering process to list key information and insights throughout the report.
Extensive primary research has been conducted after acquiring knowledge about the AI supercomputer market scenario through secondary research. Several primary interviews have been conducted with experts from both demand (end users) and supply side (AI supercomputer component suppliers /providers) across four major geographic regions: North America, Europe, Asia Pacific, and RoW. Approximately 80% and 20% of the primary interviews have been conducted from the supply and demand side, respectively. These primary data have been collected through questionnaires, emails, and telephonic interviews.
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Market Size Estimation
In the complete market engineering process, both top-down and bottom-up approaches were implemented, along with several data triangulation methods, to estimate and validate the size of the Ai supercomputer market and various other dependent submarkets. Key players in the market were identified through secondary research, and their market share in the respective regions was determined through primary and secondary research. This entire research methodology included the study of annual and financial reports of the top players, as well as interviews with experts (such as CEOs, VPs, directors, and marketing executives) for key insights (quantitative and qualitative).
All percentage shares, splits, and breakdowns were determined using secondary sources and verified through primary sources. All the possible parameters that affect the markets covered in this research study were accounted for, viewed in detail, verified through primary research, and analyzed to obtain the final quantitative and qualitative data. This data was consolidated and supplemented with detailed inputs and analysis from MarketsandMarkets and presented in this report.
AI Supercomputer Market: Bottom-Up Approach
AI Supercomputer Market: Top-down Approach
Data Triangulation
After arriving at the overall market size from the market size estimation process, as explained above, the total market has been split into several segments and subsegments. To complete the overall market engineering process and arrive at the exact statistics for all segments and subsegments, market breakdown and data triangulation procedures have been employed, wherever applicable. The data have been triangulated by studying various factors and trends from both the demand and supply sides. Along with this, the market has been validated using top-down and bottom-up approaches.
Market Definition
An AI supercomputer is a high-performance computing system designed and optimized for artificial intelligence (AI) and machine learning (ML) workloads. These supercomputers are equipped with powerful processors, extensive memory, and specialized hardware accelerators that can process massive amounts of data and perform complex AI calculations at unprecedented speeds.
Key Stakeholders
- Technology providers
- Cloud service providers
- AI software developers
- Research institutions
- Investors and venture capitalists
- Manufacturers and AI technology users
- Investors (private equity firms, venture capitalists, and others)
- Component and device suppliers and distributors
- Government bodies such as regulatory authorities and policymakers
- Market research and consulting firms
Report Objectives
- To describe, segment, and forecast the AI supercomputer market based on component and application in terms of value.
- To describe and forecast the market for four key regions: North America, Europe, Asia Pacific, and the Rest of the World (RoW), in terms of value.
- To describe elements with varied types and application modes of the AI supercomputer market.
- To provide detailed information regarding drivers, restraints, opportunities, and challenges influencing the growth of the AI supercomputer market
- To provide a detailed overview of the supply chain and ecosystem pertaining to the AI supercomputer market, along with the average selling prices of components of AI supercomputer market.
- To strategically analyze the ecosystem, tariffs and regulations, patent landscape, trade landscape, and case studies pertaining to the market under study
- To strategically analyze micro markets with regard to individual growth trends, prospects, and contributions to the overall market
- To analyze opportunities in the market for stakeholders and provide a competitive landscape of the market
- To analyze competitive developments such as product launches and developments, expansions, partnerships, collaborations, contracts, and mergers and acquisitions in the AI supercomputer market
- To strategically profile the key players in the AI supercomputer market and comprehensively analyze their market ranking and core competencies
Available Customizations
With the given market data, MarketsandMarkets offers customizations according to the company’s specific needs. The following customization options are available for the report:
Company Information
- Detailed analysis and profiling of additional market players (up to 5)
Growth opportunities and latent adjacency in Artificial Intelligence (AI) Supercomputer Market