Patent Data Maps Technology. Supply-Chain Data Maps Commercial Dependence.
September 14, 2026
Altsets
Research by Altsets Research
Patents identify inventions, assignees, and technical capability. Supply-chain data identifies which companies actually buy from one another and how economically important the commercial relationship appears.
Data used:Altsets Supply Chain Intelligence: 90k+ entities, 400k+ relationships, 20+ years of history.
Key findings
- USPTO patent tools are designed to search patents and published applications, which can reveal technology ownership and inventive activity but not current customer dependence.
- The supplied ASML-Micron relationship adds a commercial layer with a 3B USD relationship size, Micron at 7.64% of ASML revenue, and ASML at 11.91% of Micron's cost base.
Patent data shows who owns or claims technological inventions. Supply-chain data shows who buys from whom and how economically important that commercial relationship appears. The two datasets can point to the same technology ecosystem, but patent ownership does not prove commercial dependence and a major customer relationship does not prove ownership of the underlying intellectual property.
Patent databases start from inventions and ownership
The USPTO's Patent Public Search provides access to issued U.S. patents and published applications and lets users search by keywords, inventors, publication numbers, and other fields. That makes patent data useful for mapping technical capabilities, inventive activity, assignees, and areas where companies are building intellectual property.
For a technology investor, those records can answer questions such as which company is developing a specific lithography technique, memory architecture, packaging process, or semiconductor manufacturing method.
They do not tell the investor whether a particular customer currently represents a material share of the patent owner's revenue.
ASML and Micron show the commercialization layer that patents alone do not provide
The supplied Altsets data shows a 3B USD relationship between ASML and Micron, with Micron representing 7.64% of ASML revenue and ASML associated with 11.91% of Micron's cost base.
ASML and Micron also have a long public history of technical collaboration. ASML announced a multi-year agreement with Micron around lithography and resolution-enhancement technology, including intellectual-property licensing and equipment optimization.
Patent and IP evidence can therefore explain part of the technological relationship. The Altsets metrics answer the commercial question: how economically important is the current supplier-customer relationship to each side?
Technology leadership and customer dependence can move differently
A company can accumulate patents in an important technology without turning those patents into material customer revenue. Another company can have a large commercial relationship while relying on licensed or externally developed technology rather than owning the core patents itself.
That creates two separate investment questions. Patent data asks whether the company has defensible technical assets and where it is innovating. Supply-chain data asks whether those capabilities are currently embedded in economically meaningful customer relationships.
When the two align, the investor has evidence of both technical relevance and commercialization. When they diverge, the discrepancy can be more interesting than either dataset by itself.
Patent counts should not become a proxy for supplier importance
A supplier with thousands of patents is not automatically a critical supplier to every customer. Patent portfolios vary in quality, relevance, jurisdiction, age, and commercial value. The relationship graph can show whether the technical company is actually connected to the target customer and whether the relationship is large enough to deserve attention.
The reverse is equally important. A supplier can be commercially important without owning the most patents in the product category. Manufacturing scale, process know-how, qualification, service networks, and customer integration can matter independently of formal patent counts.
The conclusion is that patents map capability while supply-chain data maps commercialization
Patent data is strongest when the question is who owns or is developing a technology. Supply-chain data is strongest when the question is which companies are commercially dependent on one another and how important that relationship appears. In the supplied ASML-Micron relationship, the 3B USD size and directional percentages add an economic layer that patent records alone cannot provide.
The relationship validation guide explains why product and technical evidence should be combined with relationship data. The public-sources proprietary-data guide explains why normalizing commercial evidence into a point-in-time graph creates a different research object from the underlying public documents.
For relationship definitions and evidence limits, read the Altsets methodology.