Physical AI: Using Edge Infrastructure to Merge the Real and Digital Worlds

This IDC Market Perspective provides an overview of physical AI and the technologies that are essential to its successful implementation. Market drivers and benefits are discussed, along with challenges inherent when merging digital technologies into the real world. "AI infused into real-world systems — also known as physical AI — will enhance precision, drive greater efficiency, and improve safety across many industries. Modernized edge platforms are essential in this transition." — Jennifer Cooke, research director, Edge AI Strategies, IDC


Executive Snapshot

New Market Developments and Dynamics

Introduction

What Is Physical AI?

What Is Generative Physical AI?

Factors Driving Progress in Physical AI Systems

Benefits of Physical AI

Challenges that Come with Physical AI

Technical Complexities and Integration Issues

High Development and Implementation Costs

Volume and Quality of Data

Ensuring Safety and Reliability in Unpredictable Environments

Data Quality, Security, and Sovereignty

Technology Providers Involved in Physical AI

Advice for Technology Suppliers and Services Providers

IDC's Point of View

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Related Research

Synopsis

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