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Free Research

The Landscape of Physical AI in Industrial and Collaborative Robotics

Price: Starting at USD 1,950
Publish Date: 30 Sep 2025
Code: PT-3670
Research Type: Presentation
Pages: 19
Actionable Benefits

Actionable Benefits

  • Gain a clear understanding of how Physical Artificial Intelligence (AI) is shaping robotics Research and Development (R&D), commercial maturity, and deployment strategies.
  • Identify the most critical opportunities and risks in adopting AI-driven robotics across manufacturing, operations, and industrial settings.
  • Benchmark vendor ecosystems, strategic partnerships, and competitive positioning to inform partnership and procurement strategies.
  • Understand Total Addressable Market (TAM) dynamics for AI in robotics across Operational Technology (OT) and Information Technology (IT) domains, and how to align investment priorities accordingly.              
Research Highlights

Research Highlights

  • Mapping of AI-driven robotics maturity, from cutting-edge research methodologies to commercially deployed solutions.
  • Analysis of vendor ecosystems, partnerships, and technology enablers shaping adoption pathways.
  • TAM assessment for AI in robotics, segmented by OT and IT approaches.
  • Insights into collaborative versus industrial robotics adoption patterns, with AI as the differentiator in productivity, flexibility, and safety outcomes.
Critical Questions Answered

Critical Questions Answered

  • What emerging AI methodologies are advancing robotics R&D, and how close are they to commercial readiness?
  • Which vendors and partnerships are defining the future of AI-enabled robotics, and how do they differ across industrial and collaborative applications?
  • What are the adoption timelines for Physical AI in robotics, and how do challenges such as skills gaps, integration complexity, and legacy infrastructure affect uptake?
  • How does Physical AI in robotics compare with other enabling technologies (e.g., digital twins, automation platforms, and Industrial Internet of Things (IIoT)) in terms of maturity and value delivery?         
Who Should Read This?

Who Should Read This?

  • C-level executives and strategy leaders in manufacturing, logistics, and industrial organizations evaluating robotics investment and AI integration.
  • Product managers and R&D leaders at robotics, AI, and automation technology suppliers seeking quantitative support for roadmaps and partnerships.
  • Innovation and digital transformation leaders exploring the intersection of AI, robotics, and Industry 4.0/5.0 technologies.
  • Investors and market analysts assessing the growth potential, TAM, and maturity of AI in robotics across industrial ecosystems.

Table of Contents

Key Findings

Key Forecasts

Key Companies and Ecosystems

Maturity Index, AI in Robotics

Robotics DPA Software Vendors

Robotics Vision Hardware Vendors

Agentic AI in Robotics

Robotics Foundation Models

World Models

The New SLAM

Final Thoughts