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.

Key Features

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 Systemes
- GE Vernova
- Hitachi
- IBM
- Intrinsic
- Microsoft
- NVIDIA
- Rockwell Automation
- Siemens

Market Data & Forecasts

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.

1. Key Trends & Strategic Recommendations

1.1 Key Trends
1.2 Strategic Recommendations

2. Future Market Outlook

2.1 Introduction
- Figure 2.1: Levels of Automation in Manufacturing & Logistics
2.2 Market Sizing & Trends
- Figure 2.2: Total Spend on Physical AI Software in Manufacturing & Logistics ($m), Split by 8 Key Regions, 2026-2030
- Figure 2.3: Total Spend on Physical AI Software in Manufacturing & Logistics ($1.32bn), Split by 8 Key Regions, 2026
- Figure 2.4: Number of Robots Deployed in Logistics & Manufacturing (m), Split by 8 Key Regions, 2025-2030
- 2.2.1 Economic Factors
  - i. Ageing Population and Demand for Physical AI
    - Figure 2.5: Year-on-Year (YoY) Change in Population Aged 15-64 vs YoY Change in Manufacturing Value Added (%), 2024
    - Table 2.6: YoY Change in Population Aged 15-64 vs YoY Change in Manufacturing Value Added (%), 2024
  - ii. Growing eCommerce Demand
    - Figure 2.7: Total Remote Physical Goods Spend ($m), Split by 8 Key Regions, 2025-2027
- 2.2.2 Operational Factors
  - i. Hardware Advancements
  - ii. Workforce Readiness for Physical AI
- 2.2.3 Technological Factors
  - i. Digital Twin Advancements
  - ii. VLA Model Advancements
- 2.2.4 Challenges Impacting Adoption
  - i. Sim-to-real Gap
  - ii. Real-time Processing
  - iii. Actuator Limitations

3. Future Leaders Index

3.1 Introduction to Future Leaders Index
- Table 3.1: Juniper Research Future Leaders Index: Physical AI Software Vendors Included & Product Portfolio
- Figure 3.2: Juniper Research Future Leaders Index: Physical AI Software Vendors
- Table 3.3: Juniper Research Leaderboard: Physical AI Software Vendors & Positioning
- Table 3.4 Juniper Research Future Leaders Index: Physical AI Software Vendors
3.2 Physical AI Software: Company Profiles
- 3.2.1 Ansys
  - i. Corporate Information
    - Table 3.5: Synopsys Annual Revenue ($bn), 2023-2024
  - ii. Geographical Spread
  - iii. Key Clients & Strategic Partnerships
  - iv. High-level View of Offerings
  - v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
- 3.2.2 AWS
  - i. Corporate Information
    - Table 3.6: AWS Revenue ($bn), 2022-2024
  - ii. Geographical Spread
    - Figure 3.7: AWS Infrastructure Deployments Map, 2025
  - iii. Key Clients & Strategic Partnerships
  - iv. High-level View of Offerings
    - Figure 3.8: Architecture Design - Physical AI for Robotics on AWS
  - v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
- 3.2.3 Cadence Design Systems
  - i. Corporate Information
    - Table 3.9: Cadence Select Financial Information ($m), 2023-2024
  - ii. Geographical Spread
  - iii. Key Clients & Strategic Partnerships
  - iv. High-level View of Offerings
  - v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
- 3.2.4 Dassault Systemes
  - i. Corporate Information
    - Table 3.10: Dassault Systemes Select Financial Information (Euro bn), 2023-2024
  - ii. Geographical Spread
  - iii. Key Clients & Strategic Partnerships
  - iv. High-level View of Offerings
  - v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
- 3.2.5 GE Vernova
  - i. Corporate Information
    - Table 3.11: GE Vernova Financial Overview ($bn), 2024-2025
  - ii. Geographical Spread
  - iii. Key Clients & Strategic Partnerships
  - iv. High-level View of Offerings
  - v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
- 3.2.6 Hitachi
  - i. Corporate Information
    - Table 3.12: Hitachi Financial Overview($bn), 2024-2025
  - ii. Geographical Spread
  - iii. Key Clients & Strategic Partnerships
  - iv. High-level View of Offerings
  - v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
- 3.2.7 IBM
  - i. Corporate Information
    - Table 3.13: IBM Financial Overview ($bn), 2023-2024
  - ii. Geographical Spread
  - iii. Key Clients & Strategic Partnerships
  - iv. High-level View of Offerings
  - v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
- 3.2.8 Intrinsic
  - i. Corporate Information
  - ii. Geographical Spread
  - iii. Key Clients & Strategic Partnerships
  - iv. High-level View of Offerings
  - v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
- 3.2.9 Microsoft
  - i. Corporate Information
    - Table 3.14: Microsoft Select Financial Information ($m), 2024-2025
  - ii. Geographical Spread
  - iii. Key Clients & Strategic Partnerships
  - iv. High-level View of Offerings
  - v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
- 3.2.10 NVIDIA
  - i. Corporate Information
  - ii. Geographical Spread
  - iii. Key Clients & Strategic Partnerships
  - iv. High-level View of Offerings
  - v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
- 3.2.11 Rockwell Automation
  - i. Corporate Information
    - Table 3.15: Rockwell Automation Sales Results ($m), 2024-2025
  - ii. Geographical Spread
  - iii. Key Clients & Strategic Partnerships
  - iv. High-level View of Offerings
  - v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
- 3.2.12 Siemens
  - i. Corporate Information
    - Table 3.16 : Siemens Digital Industries Financial Overview, ($bn), 2024-2025
  - ii. Geographical Spread
  - iii. Key Clients & Strategic Partnerships
  - iv. High-level View of Offerings
  - v. Juniper Research's View: Key Strengths & Strategic Development Opportunities

4. Market Data & Forecasts

4.1 Physical AI in Manufacturing & Logistics Forecast Summary
- 4.1.1 Physical AI in Manufacturing & Logistics Forecast Methodology
- 4.1.2 Manufacturing & Logistics Businesses Investing in Physical AI
  - Figure & Table 4.1: Logistics & Manufacturing Businesses Investing in Physical AI (000s), Split by 8 Key Regions, 2025-2030
- 4.1.3 Deployed Robots Using Physical AI Software
  - Figure & Table 4.2: Total Robots Using Physical AI Software (000s), Split by 8 Key Regions, 2025-2030
- 4.1.4 Spend on Physical AI Software in Manufacturing & Logistics
  - Figure & Table 4.3: Total Spend on Physical AI Software in Manufacturing & Logistics ($m), Split by 8 Key Regions, 2025-2030
  - Figure 4.4: Physical AI in Manufacturing & Logistics Forecast Methodology