North America Semiconductor Market for Robots (2025-2030)

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 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 were 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

• Shipments of various robot types (industrial robots, professional service robots, personal & household service robots, and drones) were identified through primary and secondary research.
• The number of semiconductor components integrated into each robot type was mapped across compute, memory, sensors, connectivity ICs, PMICs, and others.
• Robot shipments were multiplied by the average number of components per robot to calculate component shipment volumes.
• Component shipment volumes were multiplied by the average selling price (ASP) of each component category to derive the global number.
• The process was repeated for all robot categories, including articulated robots, humanoids, drones, cleaning robots, delivery robots, and others.
• The global semiconductor market size for robots was derived by summing revenues across all robot types and component segments.
• CAGR was estimated based on robotics penetration rate, industry adoption trends, and demand-supply dynamics for semiconductors.
• All estimates were validated through discussions with key stakeholders (semiconductor vendors, robotics OEMs, and domain experts) and cross-checked with company reports, press releases, and industry databases.

Top-Down Approach

• Focusing on the top-line investment and spending being made across various industry ecosystems
• Building and developing the information related to revenue generated through key semiconductor products used in robotic systems
• Carrying out multiple on-field discussions with key opinion leaders (KOLs) across each major company involved in the development of semiconductors for robots
• Estimating the vertical split using secondary sources, based on factors such as the robot type and the semiconductor component mix (compute, sensors, memory, connectivity, power management, actuation, and analog/mixed-signal)
• Estimating the regional split using secondary sources, based on various factors such as the number of players in a specific country and region, robot adoption maturity, and types of semiconductor products demanded

Semiconductor Market for Robot : Top-Down and Bottom-Up Approach