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Physical AI in Manufacturing & Logistics Market 2026-2030: Full Research Suite

Publisher Juniper Research
Published Apr 13, 2026
Length 56 Pages
SKU # JNRH21095205

Description

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.

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 Systèmes
GE Vernova
Hitachi
IBM
Intrinsic
Microsoft
NVIDIA
Rockwell Automation
Siemens

Please note: the online download version of this report is for a global site license.

Table of Contents

56 Pages
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 ($m), 2023-2024
ii. Geographical Spread
iii. Key Clients & Strategic Partnerships
iv. High-level View of Offerings
v. Juniper Research’s View: Key Strengths & Strategic Development Opportunities
3.2.4 Dassault Systèmes
i. Corporate Information
Table 3.10: Dassault Systèmes Select Financial Information (€bn), 2023-2024
ii. Geographical Spread
iii. Key Clients & Strategic Partnerships
iv. High-level View of Offerings
v. Juniper Research’s View: Key Strengths & Strategic Development Opportunities
3.2.5 GE Vernova
i. Corporate Information
Table 3.11: GE Vernova Financial Overview ($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

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