Germany AI Infrastructure Market (2024-2029)

Market Size Estimation

In the complete market engineering process, top-down and bottom-up approaches and several data triangulation methods have been used to perform the market size estimation and forecasting for the overall market segments and subsegments listed in this report. Extensive qualitative and quantitative analyses have been performed on the complete market engineering process to list the key information/insights throughout the report. The following table explains the process flow of the market size estimation.

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.

AI Infrastructure Market : Top-Down and Bottom-Up Approach

Bottom-Up Approach

• Initially, the companies offering AI infrastructure were identified. Their products were mapped based on offering, function, deployment, application, and end user.
• After understanding the different types of AI infrastructure offering by various manufacturers, the market was categorized into segments based on the data gathered through primary and secondary sources.
• To derive the global AI infrastructure market, global server shipments of top players for AI servers considered in the report's scope were tracked
• A suitable penetration rate was assigned for computing, memory, network, storage, and server software offerings to derive the shipments of AI infrastructure.
• We derived the AI infrastructure market based on different offerings using the average selling price (ASP) at which a particular company offers its devices. The ASP of each offering was identified based on secondary sources and validated from primaries.
• For the CAGR, the market trend analysis was carried out by understanding the industry penetration rate and the demand and supply of AI infrastructure offerings for different end users.
• The AI infrastructure market is also tracked through the data sanity method. The revenues of key providers were analyzed through annual reports and press releases and summed to derive the overall market.
• For each company, a percentage is assigned to its overall revenue or, in a few cases, segmental revenue to derive its revenue for the AI Infrastructure. This percentage for each company is assigned based on its product portfolio and range of AI infrastructure offerings.
• The estimates at every level, by discussing them with key opinion leaders, including CXOs, directors, and operation managers, have been verified and cross-checked, and finally, with the domain experts at MarketsandMarkets.
• Various paid and unpaid sources of information, such as annual reports, press releases, white papers, and databases, have been studied.

Top-Down Approach

• The global market size of AI infrastructure was estimated through the data sanity of major companies.
• The growth of the AI infrastructure market witnessed an upward trend during the studied period, as it is currently in the initial stage of the product cycle, with major players beginning to expand their business into various application areas of the market.
• Types of AI infrastructure offerings, their features and properties, geographical presence, and key applications served by all players in the AI infrastructure market were studied to estimate and arrive at the percentage split of the segments.
• Different types of AI infrastructure offerings, such as compute, memory, and network, storage and server software and their penetration for end users were also studied.
• The market split for AI infrastructure by offering, function, deployment, application, and end user was estimated based on secondary research.
• The demand generated by companies operating in different end-use application segments was analyzed.
• Multiple discussions with key opinion leaders across major companies involved in developing the AI Infrastructure offerings and related components were conducted to validate the offering, function, deployment, application, and end user market split.
• The regional splits were estimated using secondary sources based on factors such as the number of players in a specific country and region and the adoption and use cases of each implementation type with respect to applications in the region.