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RoboticsAI Business & IndustryCrunchbase News AIPublished: Oct 27, 2026, 22:01 JST

Robotics funding hits $9.9 billion in Q3, up 185% year to date

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Robotics funding hits $9.9 billion in Q3, up 185% year to date

3 Key Points

  1. What happened

    Crunchbase data shows global robotics venture funding reached $9.9 billion in Q3, more than double the $4.3 billion in Q3 2025, with Q1–Q3 2026 up around 185% year over year.

  2. Why it matters

    The surge shows investors are placing large bets on physical AI, where data must be collected from sensors rather than scraped from the internet, making development slower and costlier than for text-based AI models.

WHO IT HITSThis matters for venture capitalists allocating capital to deep-tech and robotics, and for operators in manufacturing, logistics, and healthcare evaluating robot vendors whose funding runway just lengthened.

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Context & Analysis

The Q3 figures extend a run of quarters with nearly $10 billion or more in robotics funding, and the year-to-date total is up around 185% from a year earlier. That pace has produced a wave of new unicorns: around 75 robotics companies on the unicorn board have raised funding in the past three years, and 45 of them joined just this year.

Ulrik Stig Hansen, co-CEO of Encord, described the sector as still in its pre-training phase, with a move to post-training expected soon. He pointed to a structural difference from large language models: physical AI has no internet-scale data trove to train on, so data must be collected from sensors and converted into action tokens. Storing, curating, enriching, and validating that multimodal data — vision, tactile, force, and torque — is, in his words, a very expensive operation.

Hansen also said many of the companies raising capital are likely to win because there are so many different applications in the physical world, while noting the sector's direction remains uncertain as companies race toward breakthroughs over the next year.

FAQ
Which companies raised the largest robotics rounds this year?
In China, Xpeng Robotics raised $900 million and AI² Robotics raised a $736 million Series C. In the U.S., Skild AI raised $1.4 billion, and Germany's Neura Robotics also raised $1.4 billion.
What makes physical AI different from large language models?
Ulrik Stig Hansen of Encord said there is no internet of physical AI data, so data must be collected and converted from sensor tokens to action tokens. Data sets are orders of magnitude larger, requiring multimodal data combining vision, tactile, force and torque.
How many robotics unicorns have raised funding recently?
Around 75 robotics companies on the unicorn board have raised funding in the past three years. More than half — 45 — joined the board just this year.
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