North America Generative AI Server Market (2025-2030)

Market Size Estimation

In the complete market engineering process, top-down and bottom-up approaches and several data triangulation methods were used to estimate and forecast the overall market segments and subsegments listed in this report. Key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of annual and financial reports of the top market players and extensive interviews for key insights (quantitative and qualitative) with industry experts (CEOs, VPs, directors, and marketing executives).

All shares, splits, and breakdowns were determined using secondary sources and verified through primary sources. All the parameters affecting 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. The following figure represents this study’s overall market size estimation process.

BOTTOM-UP APPROACH

• Initially, the companies offering compute/processors were identified. Their products were mapped based on processor type, including GPU, FPGA, and ASIC.
• After identifying compute/processors, the market is segmented based on the processor type used in generative AI servers, i.e., GPU-based, FPGA-based, and ASIC-based AI servers.
• Derive the global shipments of compute/processors by tracking the sales of leading players and their utilization in generative AI server deployments
• Assigned an attach rate for each processor type based on server configurations
• Estimating the total number of generative AI servers by type (GPU-based, FPGA-based, ASIC-based)
• Determining the Average Selling Price (ASP) for each generative AI server type by analyzing the pricing based on configurations, including the number of compute/processors and additional components like memory, storage, and cooling systems
• ASP data is collected from secondary sources such as vendor price lists and market reports and validated through primary interviews.
• Estimating the generative 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 generative AI server products designed and developed vertically, helping analyze the breakdown of the scope of work carried out by each major company in the generative AI server market
• Arriving at the market estimates by analyzing generative 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-use industries
• Building and developing the information related to the market revenue generated by key generative AI server manufacturers
• Conducting multiple on-field discussions with the key opinion leaders involved in the development of generative AI server products in various end-use 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-use industries.

Data Triangulation

After arriving at the overall market size, the market was split into several segments and subsegments using the market size estimation processes as explained above. Data triangulation and market breakdown procedures were employed to complete the entire market engineering process and determine each market segment's and subsegment's exact statistics. The data was triangulated by studying various factors and trends from the demand and supply sides in the generative AI server 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

• Detailed analysis and profiling of additional market players (up to 7)