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Physical AI: Robotics Foundation Model Trends and Strategic Considerations for Semiconductor and Cloud Vendors

Price: Starting at USD 1,950
Publish Date: 22 Jul 2026
Code: PT-3673
Research Type: Presentation
Pages: 23
Actionable Benefits

Actionable Benefits

  • Identify the highest-growth Robotics Foundation Model (RFM) revenue opportunities through 2036.
  • Develop winning strategies for semiconductor, cloud, and Artificial Intelligence (AI) infrastructure investments.
  • Assess competitive threats from China, open-source ecosystems, and AI silicon commoditization.
Research Highlights

Research Highlights

  • Forecasts for a US$150 billion RFM-enabled robotics ecosystem opportunity by 2036.
  • Total Addressable Market (TAM) analysis across manufacturing, logistics, defense, healthcare, commercial, and home robotics.
  • Strategic evaluation of key technologies, vendors, ecosystem dynamics, and deployment bottlenecks.
Critical Questions Answered

Critical Questions Answered

  • Which industries will generate the largest Physical AI and robotics opportunities?
  • Where can semiconductor and cloud vendors capture the most value in the RFM stack?
  • What market, technology, and competitive risks could disrupt long-term growth?
Who Should Read This?

Who Should Read This?

  • Semiconductor, AI accelerator, and edge computing vendors.
  • Cloud providers, hyperscalers, and AI infrastructure stakeholders.
  • Robotics Original Equipment Manufacturers (OEMs), automation vendors, and enterprise innovation leaders.

Table of Contents

Key Findings

Key Forecasts:

Robotics Foundation Model TAM
Manufacturing and Warehousing & Logistics
Retail, Restaurants, Hospitality, and Healthcare
Agriculture, Construction, Oil & Gas, and Mining
Defense
Home

Key Companies and Ecosystems

Robotics Foundation Model Plays
Data Capture 
Simulation & Sim2Real
ASICs Capture | Commodification
Bottlenecks
Developers
Software Model: Open Versus Closed
China
Open Source
Standards & Regulations to Watch

Key Takeaways