A city is an innovation cluster when innovative activity is concentrated in a connected geographic area and its ecosystem helps turn knowledge into products, processes, firms, or other useful outcomes. Patents, research spending, and startup funding can each reveal part of the picture, but none alone proves that a place is an innovation cluster.
What is an innovation cluster?
An innovation cluster is a concentration of connected firms, researchers, workers, investors, and support institutions. Proximity can help them share knowledge, find specialist talent and services, collaborate, and connect research with markets. Clusters can be specialized, and their shape reflects their sector and history.
The cluster’s functional geography may extend beyond a city’s administrative boundary. The OECD describes clusters as firms and research laboratories located close to one another; WIPO’s approach identifies clusters from the locations of inventors, scientific authors, and firms receiving venture-capital investment rather than assuming that a cluster matches a political boundary. WIPO’s 2026 Global Innovation Index cluster material and the OECD’s city concentration analysis illustrate why the unit of analysis matters.
Innovation also means more than invention. OECD/Eurostat’s Oslo Manual 2018 defines it as: “An innovation is a new or improved product or process (or combination thereof) that differs significantly from the unit’s previous products or processes and that has been made available to potential users (product) or brought into use by the unit (process).” That distinction makes implementation essential: research or a patent may indicate inventive activity, but not whether a new product reached users or a process was put into use. Read the Oslo Manual 2018.
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Which metrics reveal a cluster?
A useful scorecard separates enabling conditions from activity, implementation, and outcomes. WIPO uses inventor locations, scientific-author locations, and venture-backed firm locations as signals for identifying clusters. A broader local assessment can add measures of talent, connections, business formation, and results.
| Dimension | Useful indicators | What they can show | What they cannot show alone |
|---|---|---|---|
| Invention and research | Geographically located inventors on published patent applications; scientific authors on published articles; R&D expenditure or research employment | Where inventive and research activity is concentrated; whether local knowledge capacity is substantial | Whether research is implemented, broadly useful, or commercially successful |
| Finance and entrepreneurship | Venture-capital activity and locations of funded firms; firm and employer-startup births; scale-ups, survival, and employment | Whether capital and entrepreneurial activity are present and whether firms are being created and growing | Whether a funding total reflects broad innovation, durable outcomes, or an equitable distribution of opportunity |
| Talent and connections | Education and technical employment; SME innovation collaboration; university-business collaboration; skilled-worker availability | Whether people and organizations can develop, exchange, and apply knowledge | Whether skills and connections are translating into products, processes, or jobs |
| Enabling conditions | Institutions, culture, networks, infrastructure, markets, finance, knowledge, talent, leadership, and intermediate services | Whether important supports for innovation are in place and where bottlenecks may arise | Whether the ecosystem is producing successful innovation outcomes |
| Implemented innovation and outcomes | Products made available to users; processes brought into use; firm survival and growth; job creation and productivity | Whether ideas are being applied and whether entrepreneurial activity has measurable effects | By themselves, which local conditions caused the results or how widely benefits are shared |
The OECD’s Entrepreneurial Ecosystem Diagnostics treats ecosystem inputs separately from outputs because they interact and a weakness in one element can constrain the whole system. Its example indicators include R&D, patents, education, technical employment, collaboration, broadband and transport infrastructure, specialist support, and early- and later-stage venture capital per capita.
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How to interpret the main indicators
Patents and research show knowledge activity
Inventor and author locations can help identify where new knowledge is being generated. Patent counts need careful interpretation: patents cover only some inventions, and the Oslo Manual cautions against treating the number or characteristics of patented inventions as a complete measure of innovation. R&D spending and research employment are inputs, not proof that knowledge has been applied.
Investment shows capital flows, not the whole ecosystem
Venture-capital activity matters both as a cluster-identification signal in WIPO’s method and as one finance indicator in the OECD framework. Read it alongside population, industry mix, firm creation, survival, growth, and job outcomes. A large funding total alone says how much capital moved, not how broad or durable the local innovation system is.
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Entrepreneurship includes more than headline-grabbing firms
Firm formation, employer-startup births, survival, scale-ups, and employment help reveal whether entrepreneurial activity is producing results. OECD’s concept of productive entrepreneurship includes job creation, innovation, survival, and growth potential; it is broader than a focus on a few famous high-growth companies.
Talent, networks, and anchors help explain how a cluster works
Skilled labor pools, shared infrastructure, specialist services, and proximity can help organizations exchange knowledge and work together. A cluster may have an anchor company, public laboratory, or major university—Stanford University is an example associated with Silicon Valley, and CEA with Grenoble—but the presence of an anchor does not by itself establish that a cluster is successful.
Clusters can also center on different sectors. The OECD city analysis discusses aeronautics in Toulouse, finance in London and Frankfurt, and automotive activity in Stuttgart. These examples point to varied specializations and histories, not a single template every city must follow.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.How to compare cities fairly
Before comparing places, define what counts as the city and what the measures cover. A city proper, metropolitan area, commuting zone, or data-defined cluster can produce different results. Administrative limits may split a connected labor market or cluster across several jurisdictions.
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- Set the geography. State whether the comparison covers a city proper, metro area, commuting zone, or data-defined cluster.
- Disclose the denominator. Say whether values are totals or normalized, for example per resident or per capita, and identify the population used.
- State the reference year and coverage. Specify the indicator year, time window, and any limits in the underlying data.
- Compare across the full system. Review invention and research, translation and finance, talent and capability, ecosystem conditions, and outputs such as firm growth and jobs.
- Check who benefits. Citywide averages can hide regional and social differences in access to entrepreneurship and its outcomes.
Rankings depend on choices such as geocoding, geographic boundaries, time windows, population grids, fractional counting, and selected indicators. WIPO’s multi-signal approach is one method, not a universal definition of a cluster; OECD also cautions that national-level indicators and composite indices should not be mistaken for complete local measurement. For current ranking positions or specific city figures, consult the underlying source and verify its data year and geography rather than relying on a ranking label alone.
What a balanced assessment can—and cannot—tell you
A credible assessment looks for concentration and connection, then asks whether activity is translating into use and outcomes. Patents, publications, research investment, and venture funding are useful signals, but they describe different parts of the system. Read them alongside collaboration, skills, infrastructure, institutions, business formation, firm survival, jobs, and the spread of benefits.
Innovation is broader than technology or science-based research. An assessment focused only on R&D and patents can miss other forms of innovation, while a city-level headline can conceal uneven access to opportunity. OECD’s regional policy analysis emphasizes that innovation measurement should represent a wider spectrum than R&D- and science-based activity alone. OECD regional innovation policy analysis.
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