Robotics startup funding hits $9.9B in Q3 2026, doubling YoY

Robotics startup funding reached $9.9 billion in the third quarter of 2026, according to data released by Crunchbase. The figure is more than double the $4.3 billion recorded in the same period of 2025. It is the latest in a series of quarters with roughly $10 billion or more in investments in the sector. In the first nine months of 2026, year-over-year growth was about 185%. According to Crunchbase, the bulk of the investment is going to companies based in China and the United States, which lead the push into physical AI, artificial intelligence applied to the physical world.

The robotics funding boom in the third quarter

The quarter fits into a series of record results for robotics: during 2026 the sector has raised nearly $10 billion or more per quarter, according to Crunchbase.

China and the United States dominate investments

The geography of capital is strongly polarized. China leads with $13.2 billion invested in 2026, followed by the United States with $12.1 billion. Germany, the third-largest fundraising country, trails well behind with $1.7 billion.

In China, the largest round went to Xpeng Robotics, with $900 million. The Guangzhou-based company develops AI models and physical robots. Shenzhen’s AI² Robotics raised a $736 million Series C. The company works on intelligent robots for manufacturing, healthcare and services. In the United States, two rounds exceeded the billion-dollar mark. Los Angeles-based Atoms, led by Travis Kalanick, operates in ghost kitchens, mining and transportation. Pittsburgh’s Skild AI raised $1.4 billion for its Skild Brain foundation model. German company Neura Robotics also raised $1.4 billion for its cognitive robots.

The data and model challenge for physical AI

The bottleneck is not just capital, but data. That was the explanation offered by Ulrik Stig Hansen, co-CEO of Encord, a San Francisco company that provides the data layer for physical AI, at the first Long Horizon Physical AI Summit held in San Francisco in October.

“Physical AI is very different because there is no internet of physical AI data. So the data must first be collected and converted from sensory tokens to action tokens,” Hansen said. Multimodal datasets combine vision, tactile data, force and torque. They are orders of magnitude larger than textual ones. Collecting, curating, enriching and validating them is, according to Hansen, a very costly operation for the entire sector. Computing and storage capabilities are developing. But building for the physical world takes longer than for language models trained on web text. According to Hansen, physical AI is still in the pre-training phase and will soon enter the post-training phase.

New unicorns and uncertain prospects

The wave of capital is generating a new generation of unicorns. About 75 robotics companies have raised funds over the past three years while joining the unicorn list. 45 of them joined during 2026. That is more than half of the total. Many of the highest-valued startups compete on data, models and vertical use cases ranging from heavy industry to manufacturing, from logistics to home automation.

Despite the growth, according to Crunchbase News the sector’s direction remains uncertain as companies race toward the next innovations. Hansen considers the market broad enough to reward multiple winners. “There are many companies raising capital, and I think many of them will win.” “There are so many different kinds of applications to the physical world.”

Sources:

• Crunchbase Data Shows Q3 Robotics Startup Funding Jumps 185% As US… | news.crunchbase.com