Ho Chi Minh City
Metro Power
45.9
of 100 · #75
MPI
45.9
MCC
29.4
MDI
26.4
Pillar profile
Talent27.2
Capital26.0
Research23.1
Infrastructure44.5
Agentic26.4
Indicators
- Population (m)9.3
- GDP ($bn)120
- GDP per capita ($k)13
- AI investment ($bn)1.2
- Tech employment %6
- AI talent44
- Research strength44
- Notable AI orgs12
- Compute / data centers52
- Broadband %76
- Tertiary degree %28
- Digital skills52
- Startup ecosystem54
- Agent adoption32
- Patents / 100k6
Nearest peers
- Cape Town29.4
- Johannesburg29.3
- Medellin29.0
- Brasilia29.8
- Bogota28.8
Metro report · generated from Ho Chi Minh City's indicators
Ho Chi Minh City — metro standing in full
Ho Chi Minh City is the #99 metro by economic size ($120bn) in the panel and ranks #75/162 on absolute Metro Power and #139/162 on per-capita intensity. No pillar stands out as a clear strength; the binding concern is research. Locally it runs below the Vietnam national average (MCC 29.4 vs CC 35.6).
National context: Vietnam scores CC 35.6 per-capita; Ho Chi Minh City sits at MCC 29.4.
Economic & scale context curated v1 estimate
GDP (metro)
$120bn
#99 of 162
GDP / capita
$13k
Population
9.3M
AI investment
$1.2bn
#119 of 162
Notable AI orgs
12
Index & pillar read
For each metro index and pillar: what it means when high (the value) versus low (the gap), and Ho Chi Minh City's own standing.
| Index / pillar | Value | Standing | What a high vs low value means — and where Ho Chi Minh City sits |
|---|---|---|---|
| MPI Metro Power | 45.9 | Moderate · #75/162 | Mid-pack. High would mean a heavyweight hub where capital, talent and AI organizations concentrate — it can anchor an entire national AI ecosystem; low would mean 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 | 29.4 | Developing · #139/162 | Low here — 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 | 26.4 | Developing · #140/162 | Low here — 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 | 27.2 | Developing · #139/162 | Low here — a shallow talent base that constrains how much can be built locally. ▲ 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 | 26.0 | Developing · #122/162 | Low here — 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 | 23.1 | Developing · #142/162 | Low here — a weak research base — fewer home-grown breakthroughs and spinouts. ▲ 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 | 44.5 | Developing · #139/162 | Low here — 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 | 26.4 | Developing · #140/162 | Low here — 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
- No pillar stands out as a clear strength yet.
Risk factors
- Binding weakness — Research 23.1 (#142/162, Developing): a weak research base — fewer home-grown breakthroughs and spinouts.
▲
Metro values are curated estimates (v1) on a consistent global scale — not yet measured sub-national data.