Free tool · Interactive data

Where New Zealand
startup money actually goes.

Six chapters, all clickable. Investment by year, capital by sector, the regional split, the pre-seed to Series B journey, the companies that made it, and the part nobody puts on a slide. Every figure carries its source and the date it was last checked.

$754M invested in 2025 166 disclosed deals 2 private unicorns Sources on every number
NZ Startup Ecosystem — interactive Free tool

Aotearoa New Zealand

The state of
Kiwi startups

Cut the Waffle
Figures in NZD. Disclosed rounds only — the true totals are higher.
01

The money

Annual disclosed investment into New Zealand startups. Click a year for what drove it.

Investment by year · $M NZD

02

Sectors

Share of capital by sector. In a market this small a single large round moves the whole picture, so read these as direction, not precision.

Share of capital

03

Where it lands

Capital concentration by region. Click a pin on the map or a row in the list.

Map of New Zealand showing startup investment concentration by region

Share of disclosed capital

04

The journey

Pre-seed to exit, and how long each gap actually takes. Click a stage.

Funding stages

05

Who made it

The companies that put Aotearoa on the map. Click any of them.

NZ companies of note

06

The reality

The numbers that don't make it onto the ecosystem slide deck.

cutthewaffle.nz

NZ startup ecosystem

What $754M actually looks like

New Zealand raised roughly $754M NZD for startups in 2025 across about 166 disclosed deals — up around 61% on the year before. For a country of five million people at the bottom of the world, that's a serious number. It is also, in Silicon Valley terms, about one mid-sized Series C.

Both readings are true, and holding both at once is the only honest way to look at this market. The ecosystem is real: two private unicorns, two globally listed companies, a deep agritech and SaaS pipeline, and angel networks that have been compounding quietly for twenty years. It's also thin above Series A, heavily concentrated in one city, and more exposed than it looks to a single large round landing or not landing in any given quarter.

The tool above is built so you can see both. Every figure carries its source and the date it was last checked, and anything modelled or estimated is flagged as such rather than quietly rounded into a headline.

$754M
disclosed investment, 2025
+61%
year-on-year growth
79%
of capital lands in Auckland
22mo
average seed to Series A

Reading the data

Three things the numbers hide

One round can move the market

Halter's $377M NZD Series E is larger than New Zealand's entire disclosed startup investment in 2023. In a market this size, annual totals are as much a story about which single rounds closed before 31 December as they are about underlying momentum. Treat year-on-year percentages with appropriate suspicion — including the +61% above.

Disclosed is not the same as invested

Every figure here covers rounds that were announced. Plenty aren't: smaller angel rounds, bridge rounds nobody wants to publicise, and offshore investment into NZ-founded companies that have since redomiciled. The real number is higher, and nobody knows by how much.

The Series A cliff is the actual constraint

Seed capital in New Zealand is functional. Angel networks, NZGCP and a handful of domestic seed funds will get a good company to $1–2M. The problem starts above that: the domestic pool thins quickly, and most Series A and B rounds need Australian or US leads. That's why the 22-month seed-to-A gap matters more than the headline total — it's measuring how long it takes to become legible to an offshore investor.

Why this page exists

Interactive data earns links for years

A blog post gets read once. A well-built interactive data tool gets bookmarked, cited in industry reports, linked by journalists who needed a number at 4pm, and shared on LinkedIn by people who want to look informed. That's the compounding part of content marketing, and almost nobody does it because it's more work than a listicle.

This page is a demonstration of the approach: take a data-rich topic, structure it as something people can actually interrogate, surround it with editorial that answers the queries people type, and mark up the whole thing so answer engines can quote it accurately.

01

Attracts links

Journalists and analysts cite tools far more readily than posts, because a tool gives them a number they can attribute.

02

Holds attention

Interactive content keeps people on the page many times longer than equivalent static content. Engagement is a quality signal.

03

Gets quoted by AI

Clean structured data, named sources and direct factual answers are exactly what answer engines need to cite you rather than paraphrase someone else.

04

Gives sales a reason

“Thought this was relevant to you” with a genuinely useful link beats a cold pitch, every time.

Common questions

NZ startup data, answered

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