The research process for this technical, market-oriented, and commercial study of the AI server market included the systematic gathering, recording, and analysis of data about companies operating in the market. It involved the extensive use of secondary sources, directories, and databases (Factiva, Oanda, and OneSource) to identify and collect relevant information. In-depth interviews were conducted with various 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 the growth prospects of the market. Key players in the AI server market were identified through secondary research, and their market rankings were determined through primary and secondary research. This 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 secondary sources were used to identify and collect information for this study. These include annual reports, press releases, and investor presentations of companies, whitepapers, certified publications, and articles from recognized associations and government publishing sources. Research reports from a few consortiums and councils were also consulted to structure qualitative content. Secondary sources included corporate filings (such as annual reports, investor presentations, and financial statements); trade, business, and professional associations; white papers; Journals and certified publications; articles by recognized authors; gold-standard and silver-standard websites; directories; and databases. Data was also collected from secondary sources, such as the International Trade Centre (ITC) (Switzerland), and the International Monetary Fund (IMF).
List of key secondary sources
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Source
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Web Link
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Generative AI Association (GENAIA)
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https://www.generativeaiassociation.org/
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Association for Machine Learning and Application (AMLA)
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https://www.icmla-conference.org/
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Association for the Advancement of Artificial Intelligence
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https://aaai.org/
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European Association for Artificial Intelligence
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https://eurai.org/
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International Monetary Fund
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https://www.umaconferences.com/
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Institute of Electrical and Electronics Engineers (IEEE)
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https://ieeexplore.ieee.org/
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Primary Research
Extensive primary research was accomplished after understanding and analyzing the AI server market scenario through secondary research. Several primary interviews were conducted with key opinion leaders from both demand- and supply-side vendors across four major regions—North America, Europe, Asia Pacific, and RoW. Approximately 30% of the primary interviews were conducted with the demand side, and 70% with the supply side. Primary data was collected through questionnaires, emails, and telephonic interviews. Various departments within organizations, such as sales, operations, and administration, were contacted to provide a holistic viewpoint in the report.
Note: Other designations include technology heads, media analysts, sales managers, marketing managers, and product managers.
The three tiers of the companies are based on their total revenues as of 2023 ? Tier 1: >USD 1 billion, Tier 2: USD 500 million–1 billion, and Tier 3: USD 500 million.
To know about the assumptions considered for the study, download the pdf brochure
Market Size Estimation
In the complete market engineering process, both top-down and bottom-up approaches were used, along with several data triangulation methods, to estimate and forecast the size of the market and its segments and subsegments listed in the report. Extensive qualitative and quantitative analyses were carried out on the complete market engineering process to list the key information/insights pertaining to AI server market.
The key players in the market were identified through secondary research, and their rankings in the respective regions determined through primary and secondary research. This entire procedure involved the study of the annual and financial reports of top players, and interviews with industry experts such as chief executive officers, vice presidents, directors, and marketing executives for quantitative and qualitative key insights. All percentage shares, splits, and breakdowns were determined using secondary sources and verified through primary sources. All parameters that affect the markets covered in this research study were accounted for, viewed in extensive detail, verified through primary research, and analyzed to obtain the final quantitative and qualitative data. This data was consolidated, supplemented with detailed inputs and analysis from MarketsandMarkets, and presented in this report.
Bottom-Up Approach
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Initially, the companies offering AI servers were identified. Their products were mapped based on processor/AI chip type including GPU, FPGA, and ASIC
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After identifying AI servers, the market is segmented based on the processor type used in AI servers i.e., GPU-based, FPGA-based, and ASIC-based AI Servers
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Assigned an attach rate for each processor type based on server configurations
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Estimating the total number of AI servers by type (GPU-based, FPGA-based, ASIC-based)
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Determining the Average Selling Price (ASP) for each AI server type by analyzing the pricing based on configurations, including number of processors and additional components like memory, storage, and cooling systems
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ASP data is collected from secondary sources such as vendor price lists, market reports, and validated through primary interviews.
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Estimating the AI server market revenue by type (GPU-based, FPGA-based, ASIC-based)
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Carrying out multiple discussions with key opinion leaders to understand the type of AI server products designed and developed vertically, helping analyze the breakdown of the scope of work carried out by each major company in the AI server market
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Arriving at the market estimates by analyzing AI server companies as per their countries and subsequently combining this information to arrive at the market estimates by region
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Verifying and cross-checking the estimates at every level through discussions with key opinion leaders, including CXOs, directors, and operations managers, and finally with domain experts at MarketsandMarkets
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Studying various paid and unpaid sources of information, such as annual reports, press releases, white papers, and databases
Top-Down Approach
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Focusing on top-line investments and expenditures being made in the ecosystems of various end user industry
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Building and developing the information related to the market revenue generated by key AI server manufacturers
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Conducting multiple on-field discussions with the key opinion leaders involved in the development of AI server products in various end user industries
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Estimating geographic splits using secondary sources based on various factors, such as the number of players in a specific country and region, the processor type, and the level of solutions offered in end user industries
AI Server Market : Top-Down and Bottom-Up Approach
Data Triangulation
After arriving at the overall market size from the market size estimation process explained above, the total market was split into several segments and sub-segments. Where applicable, data triangulation and market breakdown procedures were employed to complete the overall market engineering process and arrive at the exact statistics for all segments and sub-segments. The data was triangulated by studying various factors and trends from the demand and supply sides. The market size was also validated using top-down and bottom-up approaches.
Market Definition
AI servers are high-performance computing systems specifically designed to handle the intensive workloads required by artificial intelligence applications. These servers are equipped with powerful processors such as GPUs (Graphics Processing Units), FPGAs (Field Programmable Gate Arrays), and ASICs (Application-Specific Integrated Circuits), which accelerate complex computations involved in AI tasks like machine learning, deep learning, and data analytics. AI servers optimize parallel processing, large-scale data handling, and real-time analytics, making them essential for training and running AI models in fields like natural language processing, computer vision, and autonomous systems.
Key Stakeholders
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Government and financial institutions and investment communities
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Analysts and strategic business planners
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Semiconductor product designers and fabricators
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Application providers
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AI solution providers
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AI platform providers
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Business providers
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Professional service/solution providers
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Research organizations
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Technology standard organizations, forums, alliances, and associations
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Technology investors
Report Objectives
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To define, describe, segment, and forecast the AI server market size, by processor type, function, cooling technology, form factor, deployment, application, and end user, in terms of value
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To forecast the market based on processor type and function, in terms of volume
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To forecast the market size of four key regions, namely, North America, Europe, Asia Pacific, and the Rest of the World, in terms of value
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To present detailed information regarding the major factors influencing the growth of the market (drivers, restraints, opportunities, and challenges)
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To provide an ecosystem analysis, investment and funding analysis, case study analysis, patent analysis, technology analysis, key conferences and events, ASP analysis, Porter’s Five Forces analysis, key stakeholders and buying criteria, and regulations pertaining to the market
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To offer a comprehensive overview of the value chain of the AI server market ecosystem
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To critically analyze micromarkets1 with respect to individual growth trends, prospects, and contributions to the total market
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To strategically profile the key players and comprehensively analyze their market shares and core competencies2
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To assess the opportunities in the market for stakeholders and describe the competitive landscape of the market
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To analyze competitive developments in the market, such as collaborations, partnerships, product developments, and research and development (R&D)
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To analyze the impacts of macroeconomic factors, such as inflation rates, GDP growth, employment trends, and economic policies, on the market
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
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Detailed analysis and profiling of additional market players (up to 7)
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