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Free Research

Physical AI Foundation Models Tracker Market Data Overview: 3Q 2026

Price: Starting at USD 1,950
Publish Date: 04 Nov 2026
Code: PT-4082
Research Type: Presentation
Actionable Benefits

Actionable Benefits

  • Identify the Physical Artificial Intelligence (AI) models, developers, and technology approaches most relevant to robotics product and platform strategies.
  • Compare model licensing, deployment architecture, hardware requirements, supported robot types, and primary use cases to inform technology evaluation and partnership decisions.
  • Assess the availability and limitations of simulation and real-world performance data when evaluating foundation models for robotics.
  • Track significant model releases, commercial deployments, funding activity, and strategic developments across the rapidly evolving Physical AI ecosystem.
Research Highlights

Research Highlights

  • A detailed tracker of Physical AI foundation models developed by robotics Original Equipment Manufacturers (OEMs), AI companies, technology vendors, startups, and academic consortia.
  • Coverage of model version, licensing, model type, release date, simulation and real-world success rates, parameter count, supported robot types, edge and cloud deployment, hardware platform, use case, deployments, funding, and quarterly developments.
  • Analysis of models supporting humanoids, single-arm and dual-arm manipulators, mobile manipulators, autonomous vehicles, and other embodied systems.
Critical Questions Answered

Critical Questions Answered

  • Which Physical AI foundation models are available for humanoids, robotic manipulators, mobile robots, autonomous vehicles, and other embodied systems?
  • How do leading models differ by model type, licensing approach, parameter count, deployment architecture, hardware platform, and intended use case?
  • Which models have published simulation or real-world success rates, and what are the limitations of comparing these results?
Who Should Read This?

Who Should Read This?

  • Robotics OEM product, strategy, and AI leaders evaluating foundation models for current and future robot platforms.
  • Technology providers developing compute, semiconductor, simulation, cloud, edge AI, sensor, and robotics software solutions for Physical AI workloads.
  • Corporate development, venture capital, and investment professionals assessing the competitive landscape and commercial maturity of Physical AI developers.

Table of Contents

This product is meant to be read in conjunction with Physical AI Foundation Models Tracker (MD-RFMSS-101)

Key Findings

What’s New

Significant Forecasts

Testing, Success Rates, and the Sim-to-Real Gap

Training Data, Model Scale, and Architecture

Physical AI Market Landscape

Methodology