Japan AI Server Market (2024-2029)

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

• Initially, the companies offering AI servers were identified. Their products were mapped based on processor/AI chip type including GPU, FPGA, and ASIC
• 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
• Assigned an attach rate for each processor type based on server configurations
• Estimating the total number of AI servers by type (GPU-based, FPGA-based, ASIC-based)
• 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
• ASP data is collected from secondary sources such as vendor price lists, market reports, and validated through primary interviews.
• Estimating the AI server market revenue by type (GPU-based, FPGA-based, ASIC-based)
• 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
• 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
• 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
• Studying various paid and unpaid sources of information, such as annual reports, press releases, white papers, and databases

Top-Down Approach

• Focusing on top-line investments and expenditures being made in the ecosystems of various end user industry
• Building and developing the information related to the market revenue generated by key AI server manufacturers
• Conducting multiple on-field discussions with the key opinion leaders involved in the development of AI server products in various end user industries
• 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