Eindhoven
Metro Power
28.3
of 100 · #139
MPI
28.3
MCC
49.0
MDI
44.8
Pillar profile
Talent50.0
Capital30.4
Research52.9
Infrastructure66.9
Agentic44.8
Indicators
- Population (m)0.8
- GDP ($bn)50.2
- GDP per capita ($k)63.5
- AI investment ($bn)2
- Tech employment %12
- AI talent58
- Research strength78
- Notable AI orgs18
- Compute / data centers46
- Broadband %97
- Tertiary degree %48
- Digital skills80
- Startup ecosystem56
- Agent adoption48
- Patents / 100k120
Nearest peers
- Detroit48.7
- Manchester48.5
- Bristol48.4
- Columbus49.7
- Gothenburg48.3
Metro report · generated from Eindhoven's indicators
Eindhoven — metro standing in full
Eindhoven is the #136 metro by economic size ($50bn) in the panel and ranks #139/162 on absolute Metro Power and #58/162 on per-capita intensity. Its strongest pillar is Research (52.9, Strong); no single pillar is a binding weakness. Locally it runs below the Netherlands national average (MCC 49.0 vs CC 67.5).
National context: Netherlands scores CC 67.5 per-capita; Eindhoven sits at MCC 49.0.
Economic & scale context ● Eurostat met_10r_3gdp/met_pjanaggr3 (2021/22)
GDP (metro)
$50bn
#136 of 162
GDP / capita
$64k
Population
0.8M
AI investment
$2.0bn
#88 of 162
Notable AI orgs
18
Index & pillar read
For each metro index and pillar: what it means when high (the value) versus low (the gap), and Eindhoven's own standing.
| Index / pillar | Value | Standing | What a high vs low value means — and where Eindhoven sits |
|---|---|---|---|
| MPI Metro Power | 28.3 | Developing · #139/162 | Low here — limited absolute weight — a smaller node that leans on capacity built in larger hubs. ▲ high: a heavyweight hub where capital, talent and AI organizations concentrate — it can anchor an entire national AI ecosystem · ▼ low: limited absolute weight — a smaller node that leans on capacity built in larger hubs |
| MCC Metro Coefficient | 49.0 | Moderate · #58/162 | Mid-pack. High would mean deep capability per resident — a concentrated, high-intensity ecosystem; low would mean thin intensity per resident — capability is sparse relative to the population. ▲ high: deep capability per resident — a concentrated, high-intensity ecosystem · ▼ low: thin intensity per resident — capability is sparse relative to the population |
| MDI Metro Agentic | 44.8 | Moderate · #68/162 | Mid-pack. High would mean agents are widely deployed locally — a near-term productivity multiplier; low would mean agentic deployment is shallow — the local agent lever is under-used. ▲ high: agents are widely deployed locally — a near-term productivity multiplier · ▼ low: agentic deployment is shallow — the local agent lever is under-used |
| Talent Talent | 50.0 | Strong · #43/162 | High here — a deep talent pool — the scarcest input to building AI. ▲ high: a deep talent pool — the scarcest input to building AI · ▼ low: a shallow talent base that constrains how much can be built locally |
| Capital Capital | 30.4 | Moderate · #96/162 | Mid-pack. High would mean abundant capital flowing into building cognitive infrastructure; low would mean thin investment — good ideas struggle to scale locally. ▲ high: abundant capital flowing into building cognitive infrastructure · ▼ low: thin investment — good ideas struggle to scale locally |
| Research Research | 52.9 | Strong · #33/162 | High here — a strong research base feeding a pipeline of ideas and people. ▲ high: a strong research base feeding a pipeline of ideas and people · ▼ low: a weak research base — fewer home-grown breakthroughs and spinouts |
| Infrastructure Infrastructure | 66.9 | Moderate · #78/162 | Mid-pack. High would mean the physical and digital rails to run AI at scale are in place; low would mean infrastructure gaps cap how much AI can actually be run locally. ▲ high: the physical and digital rails to run AI at scale are in place · ▼ low: infrastructure gaps cap how much AI can actually be run locally |
| Agentic Agentic | 44.8 | Moderate · #68/162 | Mid-pack. High would mean agents are actively deployed — an early-mover productivity edge; low would mean little agentic deployment — the near-term lever is unused. ▲ high: agents are actively deployed — an early-mover productivity edge · ▼ low: little agentic deployment — the near-term lever is unused |
Strengths to build on
- Research (52.9, Strong) — a strong research base feeding a pipeline of ideas and people.
- Talent (50.0, Strong) — a deep talent pool — the scarcest input to building AI.
Risk factors
- No acute structural gaps stand out across the metro pillars.
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Metro values are curated estimates (v1) on a consistent global scale — not yet measured sub-national data.