Thirteen years after venture capitalist Aileen Lee coined the term, the unicorn has stopped being mythical. There are now 1,879 privately held companies valued at US$1 billion or more, according to a new analysis by BestBrokers, which drew on data from Crunchbase, PitchBook and TechCrunch.
The headline number hides a narrower story. Capital in 2026 is crowding into a few sectors (AI, robotics, defence) and a few countries, chiefly the US and China. Southeast Asia, for all the talk of being the next growth frontier, shows up in the report mostly as a footnote.
A caveat before the numbers: BestBrokers is a broker-comparison site, not a research house, and private valuations are soft by nature. Many reflect a single priced round or a secondary sale. Read them as a gauge of investor appetite, not audited worth.
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Here are 10 numbers that define this year’s unicorn class.
1. 1,879 unicorns, and more than half are American
The US is home to 971 of the world’s billion-dollar private companies. China follows with 330, the UK with 85 and India with 77. Latin America, often lumped with Southeast Asia as an emerging venture market, counts 38 across six countries, led by Brazil’s QuintoAndar at US$5.1 billion.
2. US$965 billion: Anthropic is now the world’s most valuable unicorn
The crown changed hands after SpaceX’s IPO, which raised more than US$86 billion. Anthropic now sits at the top, with OpenAI close behind at US$852 billion after a US$122 billion round led by Amazon, Nvidia and SoftBank. ByteDance is third at US$550 billion.
Together, those three are worth roughly US$2.37 trillion. Then comes a cliff: Databricks at US$190 billion, Stripe at US$159 billion and Revolut at US$115 billion. For Southeast Asian AI startups building on top of a few foundation models, that concentration is both a supply chain and a dependency, and regulators are starting to take notice.
3. 233 new unicorns in 2026, and 139 of them are in the US
That is close to 60 per cent of the year’s new billion-dollar startups. China added 34, the UK 14, Germany eight, India six and Canada five. The report names no Southeast Asian startup among the 2026 arrivals.
4. One in four new unicorns is an AI company
Of the 233 startups that crossed the line this year, 56 (24 per cent) are in AI. They range from frontier labs such as DeepSeek to sellers of coding agents (Factory), customer-service agents (Wonderful) and video generators (PixVerse).
AI firms also hold seven of the 13 most valuable new unicorns. Hark, founded by Figure AI CEO Brett Adcock, hit US$6 billion after a Series A of more than US$700 million. World-model developer General Intuition is at US$6.2 billion, and the UK’s Ineffable Intelligence reached US$5.1 billion on what the report calls Europe’s largest-ever seed round. Closer to home, governments are trying to engineer the next wave, with Thailand roping in OpenAI for a public-private accelerator.
5. 29 robotics unicorns, and China minted 17 of them
Robotics is the second-busiest sector, accounting for 12.4 per cent of new unicorns as humanoids and embodied AI attract serious money. XPENG Robotics leads China’s cohort at US$6.3 billion, followed by AI2 Robotics and X Square Robot at US$3 billion each. The US has added seven, led by Mind Robotics at US$3.4 billion.
Southeast Asia has a foothold, not a fleet. Singapore’s dConstruct raised a US$125 million Series A earlier this year, but the city-state’s lead in the region is less reassuring than it looks. And as one founder told e27, data, not hardware, is the real bottleneck in humanoids.
6. US$91 billion: DeepSeek is the year’s breakout
The Hangzhou-based lab, founded in 2023 by Liang Wenfeng, reportedly raised around US$15 billion in only its second funding round. Its valuation is more than 14 times that of the next most valuable new unicorn.
DeepSeek earned its spot by making low-cost R1 and V3 models that rattled Western rivals while using far less compute. The size of the gap also says something about the scarcity of credible non-US frontier labs, which lets investors pile into the few that exist.
7. 14 defence unicorns, as geopolitics meets the cap table
Germany’s STARK leads at US$4 billion, helped by a EUR300 million (about US$350 million) contract to supply autonomous strike drones to the German armed forces. Nine of the 14 are American, led by Mach Industries, which more than doubled its valuation to US$3.7 billion in three months after a US$600 million Series C extension.
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France’s Harmattan AI became the country’s first defence unicorn after a US$200 million round led by Dassault Aviation. Autonomous weapons are now a venture asset class; the debate over how they should be governed has not kept pace with the funding.
8. 21 new fintech unicorns, as Southeast Asia’s fintech tightens its belt
Fintech made up 9 per cent of new unicorns, with Corgi Insurance leading at US$4 billion. Investors favoured payments, lending, financial infrastructure and AI-assisted financial services. Healthtech was close behind with 17, led by US device maker MiRus at US$4.4 billion after a US$1.5 billion investment from Boston Scientific.
The regional mood is cooler. Fintech funding in Singapore dropped to US$499 million as dealmaking turned selective, and the sector’s next phase is about scaling on the balance sheet rather than on user numbers.
9. 27 unicorns put Singapore eighth in the world
Singapore is the only Southeast Asian country the report breaks out. Its unicorns are led by data centre operator DayOne, which has filed for a US listing. The ranking shows the city-state punching above its weight. It also shows how much of the region’s unicorn story still runs through one small island.
10. Six new Indian unicorns, including a homegrown LLM maker
India has 77 unicorns in total, topped by Walmart-backed PhonePe at US$14.5 billion. Its 2026 class is small but telling: fintech lender KreditBee and AI startup Sarvam AI lead it at US$1.5 billion each. Sarvam’s arrival suggests investors will back a local-language model maker outside the US and China, at a far smaller price tag.
What it means for Southeast Asia
The 2026 unicorn class is built on capital intensity: compute clusters, humanoid hardware, chip fabs and defence contracts. Those are bets that need patient money in very large cheques, and Southeast Asia’s venture market, still recovering from its correction, is not built to write many of them.
That does not leave the region empty-handed. It leaves it with a choice between owning a layer of the AI and robotics stack or renting one from the companies at the top of this list. The super-app era taught the region how to build distribution; this cycle is asking whether it can build anything that others need to buy.
For now, the unicorns are multiplying. Most of them just aren’t grazing here.
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