Q3 Robotics Startup Funding Surges 185% Led by US and China Physical AI

Venture funding for robotics startups surged 185% in the first three quarters of 2026, reaching $9.9 billion in Q3 alone, driven largely by physical AI investments in the US and China.

Tran ThiOctober 27, 20264 min read

Venture funding directed toward robotics startups has accelerated significantly in 2026, with the vast majority of capital flowing into enterprises located in the United States and China, according to data from Crunchbase. Overall, worldwide venture investments in robotics startups reached $9.9 billion during the third quarter, more than doubling the $4.3 billion secured in Q3 2025, per Crunchbase figures 1.

This follows a consistent trend of quarters matching or exceeding $10 billion in investments. Across the first three quarters of 2026, funding for the robotics sector has climbed by roughly 185% compared to the same timeframe last year.

China and the US lead

The majority of robotics investments throughout the year have concentrated in China, which attracted $13.2 billion, and the U.S., which brought in $12.1 billion. Germany sits as the third-largest destination for robotics startup funding, though it lags significantly behind with $1.7 billion secured.

Prominent funding rounds within China featured Guangzhou-based Xpeng Robotics—a developer of physical robots and AI models that secured $900 million—alongside Shenzhen-based AI² Robotics, which pulled in a $736 million Series C round to develop intelligent robots geared toward manufacturing, healthcare, and service industries.

Meanwhile, the U.S. saw several billion-dollar fundraising rounds this year. Notable examples include Travis Kalanick’s Los Angeles-based enterprise Atoms, which encompasses a ghost kitchen operation alongside divisions focused on robotics for transport and mining, as well as Pittsburgh-based Skild AI, which garnered $1.4 billion for its robotics foundation model, Skild Brain.

Germany also witnessed a major transaction as Neura Robotics secured $1.4 billion to fund its cognitive robots, utilizing artificial intelligence and data infrastructure to establish machine intelligence.

Building out the data and model layer

“We’re just seeing physical AI take off,” Ulrik Stig Hansen, co-CEO of San Francisco-based Encord, a physical AI data layer provider, shared with Crunchbase News during its inaugural Long Horizon Physical AI Summit held in San Francisco earlier this month.

While compute and storage infrastructure are evolving to back these architectures, developing for the physical environment demands time—particularly when contrasted with large language models trained on massive volumes of text available across the web. “Physical AI is very different because there is no internet of physical AI data, and so the data first has to be collected, and you have to convert it from sensor tokens to action tokens,” he explained.

Data quantities for physical AI are significantly larger, necessitating multimodal information that integrates tactile sensations, vision, force, and torque measurements. “Storing all that data, curating all that data, enriching all that data, and validating that all the data works for these systems is a very expensive operation,” Hansen added.

He noted that the industry remains situated in the pre-training stage of physical AI, though it will soon transition into the post-training phase.

More winners

Approximately 75 robotics enterprises holding unicorn status have secured funding over the past three years. More than half of that total—specifically 45 companies—joined the unicorn ranks during this year alone. Among the highest-valued robotics startups, numerous competing firms are actively developing data assets and models, alongside diverse vertical applications spanning heavy industry, manufacturing, household use, logistics, and other areas.

While robotics investments are skyrocketing and fresh unicorns continue to emerge, the long-term path for the industry stays fluid as businesses vie for subsequent breakthroughs over the coming year.

“There are a lot of companies that are raising capital, and I think a lot of them are going to win, just because there’s so many different types of applications to the physical world,” Hansen stated.

Related Crunchbase queries:

Global Physical AI Venture Funding In 2026
Global Robotics Venture Funding In 2026

Frequently Asked Questions

01What drove the surge in robotics startup funding in 2026?

Global venture funding was propelled by major investments in physical AI and robotics development, heavily led by companies based in the U.S. and China.

02Which countries received the most robotics funding?

China and the United States led globally with $13.2 billion and $12.1 billion respectively, followed by Germany with $1.7 billion.

03What is physical AI and why is its data collection unique?

Physical AI involves systems that interact with the physical world. Unlike large language models trained on existing internet text, physical AI requires collecting, storing, and curating massive multimodal datasets containing vision, force, torque, and tactile information.

Illustration: Dom Guzman