Global Large AI Models for Robots Market Strategic Research Report

Scope of the Report

The global Large AI Models for Robots market size is predicted to grow from US$ 26,790 million in 2025 to US$ 105,055 million in 2032; it is expected to grow at a CAGR of 21.5% from 2026 to 2032.

Large AI models for robotics refer to a class of general-purpose artificial intelligence models designed to drive physical robotic systems. By integrating multimodal data, these models establish generalizable "embodied intelligent decision-making capabilities," enabling robots to perform integrated tasks—encompassing perception, understanding, planning, and action—within complex, real-world environments. Unlike traditional robotics systems reliant on rule-based programming and single-task control, these large AI models—centered on architectures such as Transformers, Vision-Language-Action (VLA) models, or world models—are trained on massive datasets. This training endows robots with cross-scenario adaptability and autonomous decision-making skills, facilitating a transition from industrial automation robots to "general-purpose robots" capable of operating across diverse physical environments, including manufacturing, logistics, healthcare, home services, and specialized operations.

Large AI models for robotics are currently transitioning from the "technology validation phase" to a period of "commercial explosion." Key drivers include labor shortages, the automation upgrade of the manufacturing sector, and the extension of AI capabilities from the digital realm into the physical world. As technologies related to embodied intelligence and world models mature, robots will evolve from single-task executors into "physical AI agents" possessing general-purpose capabilities. The industry is projected to enter a cycle of rapid expansion between 2026 and 2035, with applications gradually extending from industrial and warehousing settings to home services, medical care, operations in hazardous environments, and national defense. In the long term, this sector could reshape the structure of global production functions, establishing a "robot workforce" as a major productivity infrastructure—following cloud computing and AI—and driving industrial restructuring valued in the trillions of dollars.

This report presents a comprehensive overview of the global Large AI Models for Robots market, covering market size and forecast, segmentation by product type and application, competitive landscape, leading players and regional and country-level outlook.

Segment by Type

• LLM-Driven Robots
• Vision-Language-Action (VLA) Models
• Multimodal Embodied AI Models

Segment by Service Robot Forms

• Humanoid Robots
• Wheeled Service Robots
• Industrial Robotic Arms
• Quadruped Robots
• Others

Segment by players, this report covers

• OpenAI
• Anthropic
• Google
• Microsoft
• Meta
• Mistral AI
• Cohere
• Alibaba
• Baidu
• Tencent
• DeepSeek
• NVIDIA
• Tesla
• Figure AI
• Boston Dynamics

Segment by Application

• Industrial Manufacturing
• Warehousing And Logistics
• Healthcare And Nursing
• Home Services
• Specialized Operations
• Retail And Commercial Services
• Others

Who Can Use This Report?

This report is written for decision-makers who need a clear, data-backed view of the global Large AI Models for Robots market:

• Manufacturers, suppliers and solution providers benchmarking their position and planning product, capacity and go-to-market strategy
• Distributors, channel partners and end users in Industrial Manufacturing, Warehousing And Logistics, Healthcare And Nursing evaluating demand and sourcing options
• Investors, financial analysts and consultants assessing growth opportunities, competitive dynamics and M&A potential
• Government agencies, industry associations and research institutions tracking industry developments and policy impact