Robotics Foundation Models Market Size and Outlook 2031

Report Description

Key Insights	Details
Forecast Period	2026 - 2031
Market Size (2025)	USD 96.97 Million
CAGR (2026-2031)	40.28%
Fastest Growing Segment	Embodied reasoning models
Largest Market	North America
Market Size (2031)	USD 738.94 Million

Market Overview

The Global Robotics Foundation Models Market is expected to grow from USD 96.97 Million in 2025 to USD 738.94 Million by 2031 at a 40.28% CAGR. Robotics foundation models are large-scale artificial intelligence architectures trained on multimodal data to provide generalized reasoning, perception, and control capabilities for autonomous machines and robotic systems. According to the International Federation of Robotics, in 2025, global industrial robot installations reached 621,000 units, reflecting expanding hardware deployment that creates demand for advanced intelligence layers. Market growth is primarily supported by increasing requirements for cross-task adaptability in manufacturing and severe workforce constraints in industrial environments.

A significant challenge that could impede market expansion is data scarcity for specialized physical interactions, which restricts the reliable training of general-purpose embodied agents.

Key Market Drivers

Advancements in Vision-Language-Action Models Transform Automation
Rapid advancements in vision language action models are fundamentally transforming general purpose physical automation. By unifying multimodal perception, semantic reasoning, and spatial execution into end to end neural architectures, these models enable robotic systems to comprehend natural language commands and adapt to complex environments without manual reprogramming. According to Tech Times, October 2026, in the article 'NVIDIA's Reported $1B Figure AI Investment Prices Startup Above Goldman Sachs' 2035 Humanoid Market', Figure AI's Helix framework utilizes a 7 billion parameter vision language model with an 80 million parameter action transformer to process camera streams and generate motor trajectories. This technological convergence lowers deployment costs and accelerates model adoption across diverse industrial applications.

Investment and Funding Accelerate Embodiment Model Development
Surging venture capital investments and strategic funding represent another primary catalyst accelerating market growth. Capital inflows from major technology corporations and venture firms are funding compute infrastructure, dataset acquisition, and algorithm development required for training scalable embodiment models. According to Massinvestor, November 2025, in the article 'Physical Intelligence Banks $600 Million Funding', robotics foundation model developer Physical Intelligence raised $600 million in a single financing round. This financial influx shortens development cycles and allows robot manufacturers to integrate generalized control software. According to International Federation of Robotics, in 2025, global sales of professional service robots surged by 24 percent, reflecting expanding market demand for systems utilizing software intelligence layers.

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Key Market Challenges

Data scarcity hinders foundation-model progress despite hardware growth
Data scarcity for specialized physical interactions creates a major barrier for the global robotics foundation models market. Foundation models require extensive training inputs to master real world physics and tactile tasks. According to the International Federation of Robotics, in 2025, factories worldwide installed more than 600,000 new units over the year, bringing the global operational stock to a record five million units.

Training-data shortages constrain reliability and market expansion
Despite this high level of hardware deployment, the scarcity of quality training data for complex physical interactions prevents models from achieving general purpose reliability. Without sufficient data for diverse physical tasks, autonomous agents cannot safely execute generalized reasoning or perception functions in dynamic settings. This shortage directly restricts market expansion by limiting the adaptability of robotic systems across varied industrial applications.

Key Market Trends

Simulation training enables scalable, safe, and rapid robotics deployment.
Simulation training environments represent a major development for the global robotics foundation models market. Photorealistic and physics accurate simulators enable models to generate and refine synthetic manipulation trajectories across diverse scenarios, bypassing physical safety risks. According to Amazon Web Services, October 2026, in the article 'AWS Launches Open Source Physical AI Toolchain for Robotics Development', 72 percent of physical artificial intelligence builders consider cloud computing essential for simulation and data workflows. By converting physical data gathering into a scalable compute process, virtual training environments narrow the simulation to real gap, lower data acquisition expenses, and accelerate model deployment across dynamic industrial settings.

Open-source foundation models democratize robotic control and collaboration.
The adoption of open source foundation model architectures is democratizing access to robotic control systems across commercial sectors. Releasing pretrained model weights, standardized action representations, and open repositories allows developers to study, adapt, and refine policies without incurring high development costs. According to IEEE Spectrum, May 2026, in the article 'Robotics Has Entered Its Anyone Can Build Era', shared robotics datasets on open platforms expanded from roughly 1,100 to over 58,000 entries. This open source movement lowers technical barriers, fosters community benchmarking, and facilitates cross platform deployment, expanding the presence of multitask foundation models.

Segmental Insights

Embodied Reasoning: Fastest-Growing Segment in Robotics Foundation Models
Within the global robotics foundation models market, embodied reasoning models emerge as the fastest growing segment. This rapid expansion is driven by the increasing need for autonomous systems to interpret complex physical environments and execute multi-step operational planning without human intervention. As industrial sectors demand higher flexibility to manage unstructured tasks in manufacturing and logistics, these models provide the necessary cognitive architecture for real-time decision-making. Consequently, organizations are prioritizing investments in advanced spatial intelligence technologies to accelerate deployment across diverse hardware platforms and dynamic commercial workspaces.

Regional Insights

Drivers of North America's leadership in robotics foundation models
North America holds the leading position in the global robotics foundation models market. This dominance stems from high concentration of advanced artificial intelligence research laboratories, substantial venture capital investments in physical intelligence, and early adoption by major industrial automation enterprises. Furthermore, the region benefits from deep technical talent pools and robust institutional support from technology developers focusing on machine learning and multimodal robotics integration. These foundational factors enable rapid commercial deployment and ongoing software refinement across manufacturing, warehousing, and service sectors within the region.

Recent Developments

In December 2024, Apptronik announced a strategic partnership agreement with the Google DeepMind robotics team to advance commercial offerings in the global robotics foundation models market. The collaboration combined the engineering firm's commercial humanoid hardware platform with advanced artificial intelligence research to build systems capable of assisting people in dynamic work environments. The joint initiative focused on integrating sophisticated machine learning models to improve task reasoning and physical execution capabilities for deployment across industrial sectors.
In November 2024, Physical Intelligence announced the successful completion of a $400 million Series A funding round at a $2.4 billion valuation within the global robotics foundation models market. The financing featured significant investments from major technology entities including OpenAI, Thrive Capital, and Lux Capital. The enterprise utilized the capital to accelerate research and development on general-purpose vision-language-action foundation models designed to serve as universal control policies for various robotic platforms operating across different physical environments.
In July 2024, Skild AI announced the completion of a $300 million Series A funding round to advance its work in the global robotics foundation models market. The financing was led by prominent institutional investors and technology backers to support the development of a unified artificial intelligence brain capable of operating diverse robotic morphologies. The Pittsburgh-based enterprise focused its research on creating versatile foundation models that could control multiple hardware platforms, ranging from quadrupeds to humanoid systems, without requiring task-specific parameter retraining.
In February 2024, Figure AI announced that it had secured $675 million in Series B funding at a $2.6 billion valuation within the global robotics foundation models market. The investment round included participation from prominent technology corporations such as Microsoft, the OpenAI Startup Fund, and NVIDIA. In conjunction with this financing, the company entered into a strategic collaboration agreement with OpenAI to develop next-generation artificial intelligence models tailored specifically for humanoid robots. This partnership aimed to combine advanced multimodal research with the startup's hardware capabilities to enhance how robotic systems process and reason using natural language.

Key Market Players

NVIDIA Corporation
Alphabet Inc.
Physical Intelligence
Skild AI
Covariant
Figure AI, Inc.
Field AI, Inc.
1X Technologies AS
Boston Dynamics, Inc.
Microsoft Corporation

By Model Architecture	By Deployment Mode	By Application	By End-User Industry	By Region
Vision-Language-Action Models Embodied Reasoning Models World Models Other Model Architectures (Behavior Policy Models, Cross-Embodiment Control Models, Tool-Orchestration Models)	Cloud-Based On-Premises	Warehouse Picking and Sorting Industrial Assembly Operations Material Handling and Packaging Mobile Inspection and Navigation Home Service Execution Other Applications (Commercial Service Interaction, Medical Care Assistance, Agriculture and Field Operations, Defense and Security Operations, Hazardous-Environment Operations, Research and Education Development)	Manufacturers Logistics and Warehousing Providers System Integrators Healthcare Providers Defense and Security Organizations Other End-User Industries	North America Europe Asia Pacific South America Middle East & Africa

Report Scope:

In this report, the Global Robotics Foundation Models Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Robotics Foundation Models Market, By Model Architecture:

Vision-Language-Action Models
Embodied Reasoning Models
World Models
Other Model Architectures (Behavior Policy Models, Cross-Embodiment Control Models, Tool-Orchestration Models)

Robotics Foundation Models Market, By Deployment Mode:

Cloud-Based
On-Premises

Robotics Foundation Models Market, By Application:

Warehouse Picking and Sorting
Industrial Assembly Operations
Material Handling and Packaging
Mobile Inspection and Navigation
Home Service Execution
Other Applications (Commercial Service Interaction, Medical Care Assistance, Agriculture and Field Operations, Defense and Security Operations, Hazardous-Environment Operations, Research and Education Development)

Robotics Foundation Models Market, By End-User Industry:

Manufacturers
Logistics and Warehousing Providers
System Integrators
Healthcare Providers
Defense and Security Organizations
Other End-User Industries

Robotics Foundation Models Market, By Region:

North America

United States
Canada
Mexico

Europe

France
United Kingdom
Italy
Germany
Spain

Asia Pacific

China
India
Japan
Australia
South Korea

South America

Brazil
Argentina
Colombia

Middle East & Africa

South Africa
Saudi Arabia
UAE

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global Robotics Foundation Models Market.

Available Customizations:

Global Robotics Foundation Models Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

Detailed analysis and profiling of additional market players (up to five).

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Table of content

1. Product Overview

1.1. Market Definition

1.2. Scope of the Market

1.2.1. Markets Covered

1.2.2. Years Considered for Study

1.2.3. Key Market Segmentations

2. Research Methodology

2.1. Objective of the Study

2.2. Baseline Methodology

2.3. Key Industry Partners

2.4. Major Association and Secondary Sources

2.5. Forecasting Methodology

2.6. Data Triangulation & Validation

2.7. Assumptions and Limitations

3. Executive Summary

3.1. Overview of the Market

3.2. Overview of Key Market Segmentations

3.3. Overview of Key Market Players

3.4. Overview of Key Regions/Countries

3.5. Overview of Market Drivers, Challenges, Trends

4. Voice of Customer

5. Global Robotics Foundation Models Market Outlook

5.1. Market Size & Forecast

5.1.1. By Value

5.2. Market Share & Forecast

5.2.1. By Model Architecture (Vision-Language-Action Models, Embodied Reasoning Models, World Models, Other Model Architectures (Behavior Policy Models, Cross-Embodiment Control Models, Tool-Orchestration Models))

5.2.2. By Deployment Mode (Cloud-Based, On-Premises)

5.2.3. By Application (Warehouse Picking and Sorting, Industrial Assembly Operations, Material Handling and Packaging, Mobile Inspection and Navigation, Home Service Execution, Other Applications (Commercial Service Interaction, Medical Care Assistance, Agriculture and Field Operations, Defense and Security Operations, Hazardous-Environment Operations, Research and Education Development))

5.2.4. By End-User Industry (Manufacturers, Logistics and Warehousing Providers, System Integrators, Healthcare Providers, Defense and Security Organizations, Other End-User Industries)

5.2.5. By Region

5.2.6. By Company (2025)

5.3. Market Map

6. North America Robotics Foundation Models Market Outlook

6.1. Market Size & Forecast

6.1.1. By Value

6.2. Market Share & Forecast

6.2.1. By Model Architecture

6.2.2. By Deployment Mode

6.2.3. By Application

6.2.4. By End-User Industry

6.2.5. By Country

6.3. North America: Country Analysis

6.3.1. United States Robotics Foundation Models Market Outlook

6.3.1.1. Market Size & Forecast

6.3.1.1.1. By Value

6.3.1.2. Market Share & Forecast

6.3.1.2.1. By Model Architecture

6.3.1.2.2. By Deployment Mode

6.3.1.2.3. By Application

6.3.1.2.4. By End-User Industry

6.3.2. Canada Robotics Foundation Models Market Outlook

6.3.2.1. Market Size & Forecast

6.3.2.1.1. By Value

6.3.2.2. Market Share & Forecast

6.3.2.2.1. By Model Architecture

6.3.2.2.2. By Deployment Mode

6.3.2.2.3. By Application

6.3.2.2.4. By End-User Industry

6.3.3. Mexico Robotics Foundation Models Market Outlook

6.3.3.1. Market Size & Forecast

6.3.3.1.1. By Value

6.3.3.2. Market Share & Forecast

6.3.3.2.1. By Model Architecture

6.3.3.2.2. By Deployment Mode

6.3.3.2.3. By Application

6.3.3.2.4. By End-User Industry

7. Europe Robotics Foundation Models Market Outlook

7.1. Market Size & Forecast

7.1.1. By Value

7.2. Market Share & Forecast

7.2.1. By Model Architecture

7.2.2. By Deployment Mode

7.2.3. By Application

7.2.4. By End-User Industry

7.2.5. By Country

7.3. Europe: Country Analysis

7.3.1. Germany Robotics Foundation Models Market Outlook

7.3.1.1. Market Size & Forecast

7.3.1.1.1. By Value

7.3.1.2. Market Share & Forecast

7.3.1.2.1. By Model Architecture

7.3.1.2.2. By Deployment Mode

7.3.1.2.3. By Application

7.3.1.2.4. By End-User Industry

7.3.2. France Robotics Foundation Models Market Outlook

7.3.2.1. Market Size & Forecast

7.3.2.1.1. By Value

7.3.2.2. Market Share & Forecast

7.3.2.2.1. By Model Architecture

7.3.2.2.2. By Deployment Mode

7.3.2.2.3. By Application

7.3.2.2.4. By End-User Industry

7.3.3. United Kingdom Robotics Foundation Models Market Outlook

7.3.3.1. Market Size & Forecast

7.3.3.1.1. By Value

7.3.3.2. Market Share & Forecast

7.3.3.2.1. By Model Architecture

7.3.3.2.2. By Deployment Mode

7.3.3.2.3. By Application

7.3.3.2.4. By End-User Industry

7.3.4. Italy Robotics Foundation Models Market Outlook

7.3.4.1. Market Size & Forecast

7.3.4.1.1. By Value

7.3.4.2. Market Share & Forecast

7.3.4.2.1. By Model Architecture

7.3.4.2.2. By Deployment Mode

7.3.4.2.3. By Application

7.3.4.2.4. By End-User Industry

7.3.5. Spain Robotics Foundation Models Market Outlook

7.3.5.1. Market Size & Forecast

7.3.5.1.1. By Value

7.3.5.2. Market Share & Forecast

7.3.5.2.1. By Model Architecture

7.3.5.2.2. By Deployment Mode

7.3.5.2.3. By Application

7.3.5.2.4. By End-User Industry

8. Asia Pacific Robotics Foundation Models Market Outlook

8.1. Market Size & Forecast

8.1.1. By Value

8.2. Market Share & Forecast

8.2.1. By Model Architecture

8.2.2. By Deployment Mode

8.2.3. By Application

8.2.4. By End-User Industry

8.2.5. By Country

8.3. Asia Pacific: Country Analysis

8.3.1. China Robotics Foundation Models Market Outlook

8.3.1.1. Market Size & Forecast

8.3.1.1.1. By Value

8.3.1.2. Market Share & Forecast

8.3.1.2.1. By Model Architecture

8.3.1.2.2. By Deployment Mode

8.3.1.2.3. By Application

8.3.1.2.4. By End-User Industry

8.3.2. India Robotics Foundation Models Market Outlook

8.3.2.1. Market Size & Forecast

8.3.2.1.1. By Value

8.3.2.2. Market Share & Forecast

8.3.2.2.1. By Model Architecture

8.3.2.2.2. By Deployment Mode

8.3.2.2.3. By Application

8.3.2.2.4. By End-User Industry

8.3.3. Japan Robotics Foundation Models Market Outlook

8.3.3.1. Market Size & Forecast

8.3.3.1.1. By Value

8.3.3.2. Market Share & Forecast

8.3.3.2.1. By Model Architecture

8.3.3.2.2. By Deployment Mode

8.3.3.2.3. By Application

8.3.3.2.4. By End-User Industry

8.3.4. South Korea Robotics Foundation Models Market Outlook

8.3.4.1. Market Size & Forecast

8.3.4.1.1. By Value

8.3.4.2. Market Share & Forecast

8.3.4.2.1. By Model Architecture

8.3.4.2.2. By Deployment Mode

8.3.4.2.3. By Application

8.3.4.2.4. By End-User Industry

8.3.5. Australia Robotics Foundation Models Market Outlook

8.3.5.1. Market Size & Forecast

8.3.5.1.1. By Value

8.3.5.2. Market Share & Forecast

8.3.5.2.1. By Model Architecture

8.3.5.2.2. By Deployment Mode

8.3.5.2.3. By Application

8.3.5.2.4. By End-User Industry

9. Middle East & Africa Robotics Foundation Models Market Outlook

9.1. Market Size & Forecast

9.1.1. By Value

9.2. Market Share & Forecast

9.2.1. By Model Architecture

9.2.2. By Deployment Mode

9.2.3. By Application

9.2.4. By End-User Industry

9.2.5. By Country

9.3. Middle East & Africa: Country Analysis

9.3.1. Saudi Arabia Robotics Foundation Models Market Outlook

9.3.1.1. Market Size & Forecast

9.3.1.1.1. By Value

9.3.1.2. Market Share & Forecast

9.3.1.2.1. By Model Architecture

9.3.1.2.2. By Deployment Mode

9.3.1.2.3. By Application

9.3.1.2.4. By End-User Industry

9.3.2. UAE Robotics Foundation Models Market Outlook

9.3.2.1. Market Size & Forecast

9.3.2.1.1. By Value

9.3.2.2. Market Share & Forecast

9.3.2.2.1. By Model Architecture

9.3.2.2.2. By Deployment Mode

9.3.2.2.3. By Application

9.3.2.2.4. By End-User Industry

9.3.3. South Africa Robotics Foundation Models Market Outlook

9.3.3.1. Market Size & Forecast

9.3.3.1.1. By Value

9.3.3.2. Market Share & Forecast

9.3.3.2.1. By Model Architecture

9.3.3.2.2. By Deployment Mode

9.3.3.2.3. By Application

9.3.3.2.4. By End-User Industry

10. South America Robotics Foundation Models Market Outlook

10.1. Market Size & Forecast

10.1.1. By Value

10.2. Market Share & Forecast

10.2.1. By Model Architecture

10.2.2. By Deployment Mode

10.2.3. By Application

10.2.4. By End-User Industry

10.2.5. By Country

10.3. South America: Country Analysis

10.3.1. Brazil Robotics Foundation Models Market Outlook

10.3.1.1. Market Size & Forecast

10.3.1.1.1. By Value

10.3.1.2. Market Share & Forecast

10.3.1.2.1. By Model Architecture

10.3.1.2.2. By Deployment Mode

10.3.1.2.3. By Application

10.3.1.2.4. By End-User Industry

10.3.2. Colombia Robotics Foundation Models Market Outlook

10.3.2.1. Market Size & Forecast

10.3.2.1.1. By Value

10.3.2.2. Market Share & Forecast

10.3.2.2.1. By Model Architecture

10.3.2.2.2. By Deployment Mode

10.3.2.2.3. By Application

10.3.2.2.4. By End-User Industry

10.3.3. Argentina Robotics Foundation Models Market Outlook

10.3.3.1. Market Size & Forecast

10.3.3.1.1. By Value

10.3.3.2. Market Share & Forecast

10.3.3.2.1. By Model Architecture

10.3.3.2.2. By Deployment Mode

10.3.3.2.3. By Application

10.3.3.2.4. By End-User Industry

11. Market Dynamics

11.1. Drivers

11.2. Challenges

12. Market Trends & Developments

12.1. Merger & Acquisition (If Any)

12.2. Product Launches (If Any)

12.3. Recent Developments

13. Global Robotics Foundation Models Market: SWOT Analysis

14. Porter's Five Forces Analysis

14.1. Competition in the Industry

14.2. Potential of New Entrants

14.3. Power of Suppliers

14.4. Power of Customers

14.5. Threat of Substitute Products

15. Competitive Landscape

15.1. NVIDIA Corporation

15.1.1. Business Overview

15.1.2. Products & Services

15.1.3. Recent Developments

15.1.4. Key Personnel

15.1.5. SWOT Analysis

15.2. Alphabet Inc.

15.3. Physical Intelligence

15.4. Skild AI

15.5. Covariant

15.6. Figure AI, Inc.

15.7. Field AI, Inc.

15.8. 1X Technologies AS

15.9. Boston Dynamics, Inc.

15.10. Microsoft Corporation

16. Strategic Recommendations

17. About Us & Disclaimer

Report Description

Table of content

Figures and Tables

Frequently asked questions

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