A robotics investment presentation can describe the future in enormous figures. Yet the possibility of a growing market does not mean every company in it will succeed. A research forecast, a financing decision and revenue earned from customers are different indicators.
Here we examine banks' published research and a thematic investment vehicle offered by an asset manager. These are not accounts of interviews with those institutions. The purpose is to understand the capital narrative around robotics, rather than recommend a security.
Two large numbers, two different horizons
Goldman Sachs Research's 2024 assessment forecasts that the total addressable market for humanoid robots could reach $38 billion in 2035. Falling costs and technological developments were among its reasons for raising the estimate. This figure is a forecast, not realised sales. [1]
Morgan Stanley Research's 2025 assessment looks further ahead, to 2050. It describes a potential market of approximately $5 trillion for a broad humanoid ecosystem including supply chains and maintenance and support networks. Its outlook anticipates adoption accelerating particularly in the late 2030s and the 2040s. [2]
Placing these numbers side by side and calculating how much the banks disagree would be misleading. Their time horizons and market definitions differ. Before interpreting a forecast, establish which revenue is counted, which year it describes and what pace of adoption it assumes.
What would make the market grow?
Lower hardware costs may be important to the economic adoption of humanoids. Task success, operating time, support requirements and installation effort also affect the result. Cheaper hardware alone does not make an application needing frequent intervention a good business proposition.
Follow customer behaviour alongside market forecasts. Are trials becoming repeat orders? How do support costs change as use expands? Can the same solution move to a new site with less engineering? These are questions for evaluating a sector's development, rather than unverified claims about particular companies.
Is value confined to the robot's body?
Robotics forms a value chain: mechanical components, sensors, processors, platforms, software, integration and operating support. Growth can create different revenue and competitive conditions in each layer. A hardware manufacturer and a company providing ongoing support have different cost structures.
Another distinction separates one-off engineering from a reusable product. Rebuilding a solution for every customer can generate revenue, but expansion may continually require new teams. Reusable capabilities have the potential to reduce adaptation. Assessing how much of that potential has been realised requires clear descriptions of supported tasks and environments.
From a capital perspective, the question is where a company creates a meaningful difference. Data access, hardware knowledge, customer relationships and application experience may be valuable. Their commercial value becomes tangible when connected to an outcome a customer pays for.
Different businesses under one market label
Listed exposure to robotics extends beyond robot manufacturers. BlackRock's iShares Automation & Robotics UCITS ETF seeks to track an index of developed- and emerging-market companies generating significant revenue from specified sectors associated with automation and robotics technologies. Such a fund illustrates how broadly the investment theme can span companies. [3]
A “robotics stock” or “AI fund” label is therefore not a complete description of the underlying business. Examine how much revenue comes from the relevant activity, which index a fund tracks and how that index selects companies. Hardware, software and automation revenues may sit under one theme while carrying different risks.
Market growth and investment return are also different calculations. Strong expectations for a company's future may already be reflected in its price. A persuasive sector narrative does not, by itself, establish an attractive price or an investment decision. This section does not offer investment advice.
From high expectations to real work
Bank research helps reveal the assumptions attracting capital's attention. Actual use will test the pace of adoption. Accepted factory tasks, support that can be sustained and recurring customer demand are where a broad market narrative meets operating reality.
Financing robotics' future means understanding which experiment can reduce which uncertainty. Compelling company stories may come from those able to explain the concrete work they will do better to earn a place in the market, as well as the size of that market.
Sources & further reading
A publication of GappAI GmbH. Analysis, publisher perspectives and conceptual AI illustrations are identified as such.
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