Physical AI is a $40B+ market by 2029.
The window to lead is closing.
Navigate Physical AI with confidence
The market is moving fast
Physical AI is AI embedded directly into robots and machines, letting them sense their surroundings, decide, and act in the physical world. Robotics manufacturers, systems integrators, and enterprise technology leaders adopting it face the same three challenges: fragmented market data with no standardized benchmark, forecast blind spots that leave product and pricing decisions reactive, and competitive intelligence gaps that let better-informed rivals move first. You don’t have to work around them: IDC’s coordinated research across platforms, infrastructure, services, and devices turns those challenges into decision-making evidence, so you can navigate Physical AI with confidence.
$40B+
Global robotics market by 2029
94%
Humanoid CAGR through 2030
80%
Physical Al edge deployments on cloud, 2028
Source: IDC Worldwide Robotics Forecast, 2025; IDC Future of Operations Survey, 2025
“Physical AI is emerging across consumer, commercial, and industrial segments. IDC is building an industry-first robotics hardware taxonomy spanning all three, the foundation of a growing research portfolio to help clients capitalize on the robotics opportunity.”
Tom Mainelli, Group VP, Devices & Consumer Research, IDC
Spot what others miss
The whole Physical AI value chain
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FOUNDATION MODELS & ORCHESTRATION Agentic AI is worth $10.3B in economic value. The software layer decides who captures it.Foundation models, robot OS and middleware, agentic AI frameworks, and simulation and digital twin platforms: the intelligence layer that lets a robot understand what it’s looking at and decide what to do next. Covers VLAs & world models, system & middleware, digital twins, synthetic data, data pipelines, orchestration & fleet management, and the applications & governance software that run it in production, so you can back the platform bets that will still matter in three years, not the ones that won’t. Read IDC’s latest research: |
$10.3B Economic value from agentic “digital employee” fleets over the next decade |
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COMPUTE, EDGE & CONNECTIVITY By 2028, cloud providers will power 80% of Physical AI edge deployments.AI-optimized servers, edge compute, storage, high-speed networking, and cloud/neocloud services that train, run, and scale every deployment. Covers onboard compute and sensors, edge and industrial hardware, local and wide-area connectivity, cloud and data center compute, and the cyber-physical security (CPS) that keeps it all running safely. Read IDC’s latest research:
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80% Physical AI edge deployments powered by cloud, 2028 |
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DEPLOYMENT & SERVITIZATION Humanoid robotics revenue grew 508% YoY. Business models are shifting even faster.Systems integrators, managed robotics, and Robotics-as-a-Service providers turning strategy into working systems: build-and-deploy integration, device and edge support, ongoing maintain-and-operate, and embedded/edge software engineering, so you can choose the right deployment partner and pricing model before you commit capital, not after. Read IDC’s latest research:
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508% YoY growth in humanoid robot revenue, 2025 |
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THE PHYSICAL FORM FACTOR The robotics market is worth $40B+ by 2029. Six categories. Two Trackers.Vehicles, service robots, mobile robots, industrial robots, humanoid, and drones, each with the vendor-level data you need to see which vendors are pulling ahead before the category matures around you. Read IDC’s latest research:
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$40B+ Global robotics market size by 2029 |
On-Demand Intelligence
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Leader's Views
Your starting point in Physical AI
Whatever your role, the same foundation applies: analyze vendor-level share data across 9 regions and 35+ countries, including insight from a dedicated on-the-ground China team tracking ~90% of humanoid shipments.
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Product Leader
Robotics hardware vendors: humanoids, cobots, AMRs
Evaluating market entry timing, competitive positioning, or category sizing? Get vendor-level share data and forecasts.
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Marketing Leader
Robotics hardware vendors: humanoids, cobots, AMRs
Building brand amplification, competitive narratives, or go-to-market strategy? Lead with data buyers trust.
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Intelligence Leader
Consultancies & investment firms
Benchmarking vendor performance across the full Physical AI stack? Work from one standardized framework, backed by IDC’s leading experts.
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Automation Leader
Enterprise manufacturers & logistics operators
Assessing the Physical AI landscape before committing to a strategy? See where the market is heading first.
Contact us
Start the conversation
If you’re building, positioning, or scaling a robotics or Physical AI offering, IDC can help you understand where demand is real, how your story stands apart, and what proof buyers need to move forward.
Together, we’ll explore your Physical AI vendor priorities and identify which IDC intelligence, content, event, or engagement options best support your next move.
Connect with IDC to find your Physical AI market edge.
Frequently asked QUESTIONS
More about Physical AI
Physical AI is AI that senses, reasons, and acts in the physical world, powering humanoids, cobots, autonomous mobile robots, and delivery and cleaning robots. It spans four converging layers: platforms and software, infrastructure, services, and devices.
Platforms & Software (the AI layer), Infrastructure (compute and networking), Services (systems integrators and deployment models), and Devices (physical hardware, including six robotics categories across our Quarterly and Annual Trackers), coordinated as one value-chain view.
The intelligence layer: foundation models and world models (VLAs), robot OS and middleware, simulation and digital twins, synthetic data, orchestration and fleet management, and applications and governance software.
The compute and connectivity backbone: onboard silicon (compute, sensors, actuators), edge and industrial hardware, local and wide-area connectivity, cloud/data center compute, and cyber-physical security and safety systems.
Systems integrators, managed robotics providers, and Robotics-as-a-Service (RaaS) models, covering build-and-deploy, device and edge support operations, ongoing maintain-and-operate, and embedded/edge software engineering.
Two data products covering six robotics categories: the Quarterly Tracker (Smart Vacuum, Pool Cleaning, Lawn Mower) and the Annual Tracker (Humanoid, Delivery, Commercial Cleaning), each with unit, revenue, share, and 5-year forecast data.
A VLA is an embodied AI model family that lets a physical AI system perceive its environment, predict consequences, and take physical action: the perception-to-action reasoning layer behind autonomous robot behavior.
CPS protects the physical systems AI controls (robots, edge devices, industrial controllers) from intrusion and disruption. It covers runtime safety protection, OT security, and secure remote access.