Global Physical AI Device Market Tracker, 2025
Overview:
This report provides a comprehensive overview of the rapidly evolving Physical AI landscape, helping stakeholders understand the current momentum in the technology industry and the scale of opportunity ahead. It tracks Physical AI device shipments across four core segments - vehicles, robots, drones, and AI cameras, offering a structured view of how intelligence is moving into the physical world.
The autonomous vehicle segment is further segmented into passenger vehicles and commercial vehicles, while the robotics category is divided into humanoid, service, and industrial robots. The analysis focuses specifically on commercial drones and high-end AI-enabled surveillance cameras to capture the most relevant and monetizable use cases.
In addition to shipment trends, the report provides detailed insights into average selling price (ASP), revenue, and installed base across all segments. The dataset spans from 2024 to 2035, including both historical data and forward-looking forecasts, enabling a long-term perspective on market evolution, scale, and revenue potential.
Table of Contents:
Physical AI Device Shipments by Segment by Application
Physical AI Device ASP by Segment by Application
Physical AI Device Revenue by Segment by Application
Physical AI Device Installed Base by Segment by Application
Physical AI Device Segment by Application Mapping
Autonomous Vehicle
- Passenger Vehicle
- Commercial Vehicle
Humanoid Robot
- High Spec
- Low Spec
- Mid Spec
Service Robot
- Agriculture
- Cleaning
- Hospitality
- Logistics & Warehouse
- Maintenance
- Medical
- Security
- Others
Industrial Robot
- Automotive
- Chemical & Plastic
- Electrical & Electronics
- Food & Beverage
- Metal & Machinery
- Others
Commercial Drone
AI Camera
- Commercial & Retail
- Enterprise
- Hospitality
- Industrial
- Public Infrastructure
Published Date: April 2026
Category
Industry
AI
Service
Physical AI
Report Type
Report
Time Period
Yearly
Receive our insightful weekly newsletter and stay ahead of the competition.
Author
Soumen Mandal
Soumen is a Senior Analyst tracking IoT, Automotive and Telecommunication ecosystem at Counterpoint Research. He is interested in IoT applications, connections, components, electric vehicles, connected cars, autonomous vehicles, semiconductors, shared mobility, services and emerging technologies. He started his career as an Energy Analyst with Manikaran Power Ltd. He has experience working with DISCOMs and SLDCs in the Indian power and energy industry. He is currently based in Gurgaon. He holds an Electrical Engineering degree and an MBA in Marketing & Finance.
Marc Einstein
Marc has over 20 years of experience in the ICT technology research and consulting focusing largely on the Telecommunications and Enterprise IT sectors. Prior to joining Counterpoint Research Marc held several senior positions in industry analyst firms in the USA, Hong Kong, Singapore and Japan. Based in Tokyo since 2010, Marc is a regular speaker at industry events and a frequent TV panelist. Marc also spent time in the strategy department of the largest mobile gaming company in Japan. A speaker of 6 languages, Marc holds a BSBA in Finance from Washington University in St. Louis and was a visiting student at Rangsit University in Bangkok, Thailand.