Embodied Intelligent VLA Models Market Demand Analysis Report 2025

Global Info Research‘s report offers an in-depth look into the current and future trends in Embodied Intelligent VLA Models, making it an invaluable resource for businesses involved in the sector. This data will help companies make informed decisions on research and development, product design, and marketing strategies. It also provides insights into Embodied Intelligent VLA Models’ cost structure, raw material sources, and production processes. Additionally, it offers an understanding of the regulations and policies that are likely to shape the future of the industry. In essence, our report can help you stay ahead of the curve and better capitalize on industry trends.

According to our latest research, the global Embodied Intelligent VLA Models market size will reach USD 9374 million in 2031, growing at a CAGR of 34.2% over the analysis period.
VLA, or Vision-Language-Action Model, was first proposed by DeepMind in 2023 and applied in the field of robotics. VLA not only integrates the perception capabilities of the visual language model (VLM) and the decision-making capabilities of the end-to-end model (E2E), but also introduces the "thinking chain" technology to achieve global context understanding and human-like reasoning capabilities. It can input given text and visual data, and output actions that can be executed by robots. It has the natural genes for AI to interact with the physical world. At the same time, its system transparency and explainability make the entire reasoning process differentiable, and can explain the driving logic to users through the on-board display to enhance user trust. At present, the application process of the VLA model in autonomous driving is data acquisition and preprocessing, multimodal information fusion, action command production and execution and feedback.
Local VLA models will make robots more suitable for sensitive scenarios such as home, medical care, and education, and solve core challenges such as data privacy, real-time response, security and stability. In the past few years, the end-side deployment of large language models has become an important trend. From initially relying on large-scale cloud computing resources to being able to run locally on edge devices such as mobile phones and tablets, model compression optimization, inference acceleration, and hardware collaboration have made continuous progress. The same evolutionary path is gradually unfolding in the field of embodied intelligence. As the core architecture of embodied intelligence, the VLA model (vision-language-action model) essentially gives robots the ability to understand tasks from multimodal information and take corresponding actions. The release of this large model version may also trigger a chain reaction in the industry. With the continuous evolution of AI computing power and model architecture, edge intelligence is moving from the traditional Internet of Things to a more advanced stage represented by embodied intelligence. The leadership of localized VLA heralds a new stage in the development of embodied intelligence. This breakthrough technology marks the transition of robot AI from relying on cloud computing to autonomous edge intelligence, bringing unprecedented possibilities to industrial manufacturing, medical care, home services and other fields. Completely getting rid of dependence on the cloud, robot AI has achieved independent thinking. Traditional robot AI systems generally rely on cloud computing resources, uploading sensor data to remote servers through the network for processing and then sending back instructions. Although this architecture has powerful computing power, its inherent defects include network latency, unstable connection and privacy and security issues.
This report is a detailed and comprehensive analysis for global Embodied Intelligent VLA Models market. Both quantitative and qualitative analyses are presented by company, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2025, are provided.



Our Embodied Intelligent VLA Models Market report is a comprehensive study of the current state of the industry. It provides a thorough overview of the market landscape, covering factors such as market size, competitive landscape, key market trends, and opportunities for future growth. It also pinpoints the key players in the market, their strategies, and offerings.

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The research report encompasses the prevailing trends embraced by major manufacturers in the Embodied Intelligent VLA Models Market, such as the adoption of innovative technologies, government investments in research and development, and a growing emphasis on sustainability. Moreover, our research team has furnished essential data to illuminate the manufacturer's role within the regional and global markets.

The research study includes profiles of leading companies operating in the Embodied Intelligent VLA Models Market:

The report is structured into chapters, with an introductory executive summary providing historical and estimated global market figures. This section also highlights the segments and reasons behind their progression or decline during the forecast period. Our insightful Embodied Intelligent VLA Models Market report incorporates Porter's five forces analysis and SWOT analysis to decipher the factors influencing consumer and supplier behavior.

Segmenting the Embodied Intelligent VLA Models Market by application, type, service, technology, and region, each chapter offers an in-depth exploration of market nuances. This segment-based analysis provides readers with a closer look at market opportunities and threats while considering the political dynamics that may impact the market. Additionally, the report scrutinizes evolving regulatory scenarios to make precise investment projections, assesses the risks for new entrants, and gauges the intensity of competitive rivalry.

Major players covered: Google DeepMind、 Figure AI、 Physical Intelligence、 NVIDIA、 Microsoft、 Wayve、 Hangzhou Xingyan Intelligent Technology Co., Ltd.、 Proto-Sentient Intelligence、 Kepler Robotics、 UBTECH Robotics Inc.、 AgiBot、 Spirit AI、 GalaXea AI、 Beijing Galbot Co.,Ltd.、 Horizon Robotics、 DeepRoute.ai、 Li Auto Inc.、 Huawei、 XPENG Motors
Embodied Intelligent VLA Models Market by Type: End-to-end Large Model、 Hierarchical Model
Embodied Intelligent VLA Models Market by Application: Household Robots、 Medical&Education Robots、 Industrial、 Autonomous Driving & Intelligent Transportation

Key Profits for Industry Members and Stakeholders:

1. The report includes a plethora of information such as market dynamics scenario and opportunities during the forecast period.
2. Which regulatory trends at corporate-level, business-level, and functional-level strategies.
3. Which are the End-User technologies being used to capture new revenue streams in the near future.
4. The competitive landscape comprises share of key players, new developments, and strategies in the last three years.
5. One can increase a thorough grasp of market dynamics by looking at prices as well as the actions of producers and users.
6 Comprehensive companies offering products, relevant financial information, recent developments, SWOT analysis, and strategies by these players.

The content of the study subjects, includes a total of 15 chapters:
Chapter 1, to describe Embodied Intelligent VLA Models product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top manufacturers of Embodied Intelligent VLA Models, with price, sales, revenue and global market share of Embodied Intelligent VLA Models from 2020 to 2025.
Chapter 3, the Embodied Intelligent VLA Models competitive situation, sales quantity, revenue and global market share of top manufacturers are analyzed emphatically by landscape contrast.
Chapter 4, the Embodied Intelligent VLA Models breakdown data are shown at the regional level, to show the sales quantity, consumption value and growth by regions, from 2020 to 2031.
Chapter 5 and 6, to segment the sales by Type and application, with sales market share and growth rate by type, application, from 2020 to 2031.
Chapter 7, 8, 9, 10 and 11, to break the sales data at the country level, with sales quantity, consumption value and market share for key countries in the world, from 2020 to 2024.and Embodied Intelligent VLA Models market forecast, by regions, type and application, with sales and revenue, from 2025 to 2031.
Chapter 12, market dynamics, drivers, restraints, trends and Porters Five Forces analysis.
Chapter 13, the key raw materials and key suppliers, and industry chain of Embodied Intelligent VLA Models.
Chapter 14 and 15, to describe Embodied Intelligent VLA Models sales channel, distributors, customers, research findings and conclusion.

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