DeepSeek Shakes Up AI Landscape But US Still Dominated Venture Funding In January

Global venture funding totaled $26 billion in January, with healthcare and AI again emerging as the top sectors for startup investment, 附近上门 data shows.

And while the launch of China-based 鈥檚 open source model R1 rattled the public markets in late January, last month’s venture funding numbers show the U.S.’ AI startups have continued to raise significant sums 鈥� at least for now.

AI startups including , and raised billions of dollars last month, and the U.S. startup market overall continued to dominate, receiving more than 60% of total global venture funding in January.

Venture funding has been highly volatile month to month in recent years, in part due to massive raises by U.S.-based AI companies.

In January, raised another billion dollars in funding, led by , adding to the $13.7 billion it has already raised. Meanwhile, is at a $340 billion valuation, an unprecedented sum for a private venture-backed company.

Other model companies also raised hundreds of millions in funding in January. New York-based AI audio model developer raised $180 million; London-based video generation model developer raised $180 million; and Palo Alto, California-based , which makes AI for healthcare, raised $141 million.

However, the largest funding in January was not to an AI company, but a $3 billion round for augmented reality startup , based in Connecticut.

Venture funding to AI labs in China, the second-largest market for AI models, paled compared to U.S. funding to the sector, based on an analysis of 附近上门 data. The DeepSeek development, however, shows that competition and innovation going forward could come from many different places 鈥� and not necessarily from the AI giants backed by Silicon Valley.

Healthcare led, AI followed

While AI grabbed the headlines, healthcare-related startups actually led venture investment totals in January, raising $9.4 billion. That represents 36% of the total venture capital raised during the month.

By comparison, AI-related companies garnered $5.7 billion, accounting for 22% of overall funding.

US led

The U.S. venture market鈥檚 dominance continued in January with the country receiving 60% of global funding.

The figure underscores an upward trend for the U.S. in which it鈥檚 progressively attracted a larger share of the global venture pie in recent years. Last year, the U.S. received 57% of overall global capital as Asia鈥檚 venture market slowed significantly and Europe flattened. Just a couple of years ago, the U.S. received just under half 鈥� 48% 鈥� of total venture spending.

Better models, cheaper energy

Venture capital funding alone can鈥檛 foot the bill for AI model development, chip innovation, data centers and energy output, although a lot of innovation will continue to be funded by VCs.

And venture capital funds the technology and healthcare companies that leverage the foundational AI models to build services for enterprises and consumers. As we saw when barriers to entry were lowered with cloud and mobile technology, a startup ecosystem benefits by becoming more competitive and innovative. We expect to see the same as new AI architecture brings costs down for the industry as a whole.

鈥淒eepSeek R1 is a great model that is mostly the result of excellent engineering work. It helps level the playing field between open source and frontier models, which is great for application platform companies like us (and less great for expensive foundation model players),鈥� said , founder of Mountain View, California-based , a company that supports enterprises with AI trained on their own data.

The U.S. currently has huge structural advantages 鈥斅爊ot to mention the bulk of venture funding. But as DeepSeek 鈥斅爓hich didn鈥檛 raise venture funding and reportedly rivals OpenAI鈥檚 capabilities but at lower costs 鈥� has shown, other regions can also foster groundbreaking advancements.

Those advancements and lower costs stand to benefit the tech ecosystem as a whole, particularly the application layer companies that are built on the expensive foundation model AI companies.

Cheaper and more effective models are good for startups and the investors that fund them. We are still early in this investment cycle, so expect more breakthroughs and large rounds as founders, researchers and big tech companies chase this opportunity.

Methodology

The data contained in this report comes directly from 附近上门, and is based on reported data. Data reported is as of Feb. 3, 2025.

Note that data lags are most pronounced at the earliest stages of venture activity, with seed funding amounts increasing significantly after the end of a quarter/year.

Please note that all funding values are given in U.S. dollars unless otherwise noted. 附近上门 converts foreign currencies to U.S. dollars at the prevailing spot rate from the date funding rounds, acquisitions, IPOs and other financial events are reported. Even if those events were added to 附近上门 long after the event was announced, foreign currency transactions are converted at the historic spot price.

Glossary of funding terms

Seed and angel consists of seed, pre-seed and angel rounds. 附近上门 also includes venture rounds of unknown series, equity crowdfunding and convertible notes at $3 million (USD or as-converted USD equivalent) or less.

Early-stage consists of Series A and Series B rounds, as well as other round types. 附近上门 includes venture rounds of unknown series, corporate venture and other rounds above $3 million, and those less than or equal to $15 million.

Late-stage consists of Series C, Series D, Series E and later-lettered venture rounds following the 鈥淪eries [Letter]鈥� naming convention. Also included are venture rounds of unknown series, corporate venture and other rounds above $15 million.

Technology growth is a private-equity round raised by a company that has previously raised a 鈥渧enture鈥� round. (So basically, any round from the previously defined stages.)

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