Physical AI in Manufacturing & Logistics Market: 2026-2030

Our Physical AI in Manufacturing & Logistics research suite provides in-depth analysis of the key economic, operational, and technological factors driving growth in this fast-growing market. It also addresses the key challenges facing the market and how limitations are being overcome to accelerate adoption by manufacturing & logistics businesses over the next 12 months. Moreover, it provides strategic recommendations for physical AI software vendors; giving stakeholders insight into how to maximise their investments in the market in the near term.

The suite includes a data deliverable that sizes the physical AI in manufacturing & logistics market across 15 countries; providing key forecast metrics including the number of manufacturers & logistics providers investing in physical AI, as well as industry spend on physical AI software. It also provides a complete assessment of key trends, challenges, and key recommendations for stakeholders. Collectively, these provide a critical tool for understanding this rapidly emerging market; helping physical AI and robotics vendors shape their future market strategy.

All report content is delivered in the English language.

• Market Dynamics: Insights into key trends and opportunities within the physical AI in manufacturing & logistics market, including analysis of market drivers such as labour shortages, growing eCommerce demand, emerging Vision-Language-Action models, and hardware advancements. The study also addresses market challenges, including the sim-to-real gap, real-time data processing, and actuator limitations.
• Key Takeaways: In-depth analysis of key development opportunities and findings within the physical AI in manufacturing & logistics market, accompanied by key strategic recommendations for stakeholders.
• Benchmark Industry Forecasts: Comprehensive forecast data including the number of manufacturing & logistics businesses investing in physical AI, the number of deployed robots in the industry that leverage physical AI, and total spend on physical AI software.
• Juniper Research Future Leaders Index: Key player capability and capacity assessment for 12 physical AI software vendors via the Juniper Research Future Leaders Index; featuring market sizing of the following major players:
  
  • Ansys
  • Amazon Web Services
  • Cadence 
  • Dassault Systèmes
  • GE Vernova 
  • Hitachi
  • IBM
  • Intrinsic
  • Microsoft
  • NVIDIA
  • Rockwell Automation
  • Siemens

The market-leading research suite for the Physical AI in Manufacturing & Logistics market includes access to the full set of forecast data comprising 12 tables and over 2,000 datapoints. Metrics in the research suite include:

• Manufacturing & Logistics Businesses Investing in Physical AI 
• Manufacturing & Logistics Robots Deployed
• Manufacturing & Logistics Robots Deployed Using Physical AI
• Spend on Physical AI Software by Manufacturing & Logistics Businesses

Juniper Research’s Interactive Forecast Excel contains the following functionality:

• Statistics Analysis: Users benefit from the ability to search for specific metrics; displayed for all regions and countries across the data period. Graphs are easily modified and can be exported to the clipboard.
• Country Data Tool: This tool allows users to look at metrics for all regions and countries in the forecast period. Users can refine the metrics displayed via a search bar.
• Country Comparison Tool: Users can select and compare specific countries. The ability to export graphs is included in this tool.
• What-if Analysis: Here, users can compare forecast metrics against their own assumptions, via three interactive scenarios.