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Authoritative references

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  1. Articles
  2. /How many startup accelerators and incubators are there in Singapore?

How many startup accelerators and incubators are there in Singapore? (2026)

Key Facts

Singapore’s accelerator/incubator landscape changes each year. Use ranges, verify activity (2025/2026), and check terms before you apply.

  • How many accelerators and incubators are in Singapore in 2026?

    Roughly 60–80 active programmes, depending on definitions and cohort activity; many roundups list ~65.

  • Why do different sources list different counts?

    Scope differs (accelerators vs incubators vs studios), plus duplicates, paused brands, and renames.

  • How can I check a programme is active now?

    Look for 2025/2026 cohorts, updated portfolios, clear terms (equity/fees), and speak to 2–3 alumni.

Singapore startup ecosystem with accelerators and incubators highlighted
💡Quick note
If you scan aggregator lists you’ll see numbers from the 40s to 80s. In 2026, a realistic range is broader than a single point estimate—and depends on definitions and programme activity. Browse related guides →

Who is this for?

Founders & Teams

Scoping Singapore options? Use a shortlist-and-verify approach before committing equity or fees.

Students & Switchers

Look for non-dilutive incubators and university-linked programmes if you’re pre-idea or portfolio-building.

Community Builders

Map sector-specific options (AI, health, fintech) and track demo days to spot current activity.

How many startup accelerators and incubators are there in Singapore?

In 2026, a sensible range is around 60–80 active programmes when you include generalist accelerators, sector-specific cohorts, corporate initiatives, and university incubators. Aggregators often cite figures near 65, but totals vary quarter to quarter as programmes pause, merge, or launch new verticals.

Singapore startup ecosystem with accelerators and incubators highlighted

The quick answer: a realistic range for 2026

If you just need a ballpark: expect roughly 60–80 active accelerators and incubators in Singapore. Why a range? Because counts hinge on definitions (do you include corporate labs or venture studios?), programme status (paused vs. live), and whether university incubators are tallied alongside private accelerators.

Treat counts as a snapshot
Use a range, then verify whether the specific programme you care about is actively running 2025/2026 cohorts with clear terms and recent alumni.

What’s counted—and what isn’t

People collaborating in a retro 90s tech startup, embodying creativity and innovation in a vibrant workspace.

To answer “how many,” you need boundaries. A pragmatic approach includes: time-bound accelerators with cohorts; university incubators and venture labs; corporate accelerators with a defined curriculum; and government- or agency-supported programmes with startup-facing tracks. We usually exclude pure co-working spaces without a programme, corporate innovation labs with no founder-facing track, and dormant brands without recent cohorts.

2026 snapshot by category (approximate ranges)

People collaborating in a tech startup setting with a nostalgic 90s film aesthetic.
  • Generalist accelerators: ~10–15
  • Sector/vertical accelerators (AI, health, fintech, climate): ~20–30
  • University incubators/venture labs: ~10–15
  • Corporate accelerators/programmes: ~10–15
  • Government/agency programmes (e.g., deep-tech, founder grants): ~5–8

These bands reflect what founders tend to encounter in 2026 and will move with the market. Always confirm activity and terms for the specific option you’re considering.

Why lists disagree (and how to read them)

Discrepancies usually come from scope and freshness. Some roundups include venture studios or innovation labs; others don’t. A few keep inactive brands, while others drop them after a cohort gap. Names change, programmes merge, and corporate initiatives spin up or wind down. Read any list’s inclusion criteria and check recency.

A 5‑minute credibility check

  • Recency: Look for 2025/2026 cohort pages, demo days, or announcement posts.
  • Terms: Equity ask, cheque size, or fees—spelled out in writing.
  • Alumni proof: Portfolio pages with recent logos; reach out to two alumni.
  • Mentor/operators: Named, relevant to your sector and stage.
  • Support stack: Visa/incorporation guidance if relocation is required; intros you actually need.

If you’re building AI: programme fit and trade‑offs

AI teams often benefit from deep‑tech or data‑heavy tracks that offer domain mentors, compute credits, and responsible‑AI guidance. Generalist accelerators can help with GTM and fundraising readiness, but check whether they provide access to sector mentors, pilot partners, or regulatory advice (health/finance). Balance any equity ask against the quality of that network and support.

Where to track updates

  • Aggregator roundups (e.g., “Top accelerators/incubators in Singapore”) for broad discovery
  • Agency pages (e.g., Enterprise Singapore/Startup SG; SGInnovate) for official programmes
  • Programme websites, demo‑day announcements, and alumni posts on LinkedIn

Combine multiple sources and verify 2025/2026 activity before applying. If you’re an Australian founder comparing regional options, cross‑check incorporation or residency requirements.

Make a shortlist you can validate this week

Aim for 5–8 candidates spanning one generalist, one category‑specific, one university‑linked, and one corporate option. Score them on recency, mentor fit, equity/fees, and alumni outcomes. Book 2–3 quick chats with alumni before you apply.

Your Next Steps

  • 1Create a shortlist of 5–8 programmes (mix generalist, sector, university, corporate).
  • 2Run the 5‑minute credibility check and confirm 2025/2026 activity and terms.
  • 3Speak with 2–3 alumni before you apply; adjust your shortlist accordingly.

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About the Author

Dr Sam Donegan

Dr Sam Donegan

Medical Doctor, AI Startup Founder & Lead Editor

Sam leads the MLAI editorial team, combining deep research in machine learning with practical guidance for Australian teams adopting AI responsibly.

AI-assisted drafting, human-edited and reviewed.