PUBLISHER: The Business Research Company | PRODUCT CODE: 1751035
PUBLISHER: The Business Research Company | PRODUCT CODE: 1751035
Large language models (LLMs) in robotics are AI systems designed to enable robots to understand and generate human-like language, reason through tasks, and interact more naturally with people. These models provide a high-level cognitive layer that helps robots interpret instructions, plan actions, and connect language to perception and control. Their main goal is to make robots more intelligent, adaptable, and user-friendly, allowing for control and learning through natural language.
Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.
The key functionalities of LLMs in robotics include natural language understanding, natural language generation, speech recognition and synthesis, computer vision integration, and multimodal processing. Natural language understanding (NLU) is a subfield of AI and natural language processing (NLP) that enables machines to comprehend, interpret, and derive meaning from human language in a way that is context-aware and useful. Deployment options for LLMs in robotics include both cloud-based and on-premises solutions. These models are used by both large enterprises and small-to-medium-sized enterprises (SMEs). Key industries utilizing LLMs in robotics include healthcare, manufacturing, retail and e-commerce, banking, financial services, insurance (BFSI), defense, security, and more. Applications for LLMs span industrial robotics, service robotics, autonomous vehicles, humanoid robots, drone technology, and various other use cases.
The large language models (LLMs) in robotics market research report is one of a series of new reports from The Business Research Company that provides large language models (LLMs) in robotics market statistics, including large language models (LLMs) in robotics industry global market size, regional shares, competitors with a large language models (LLMs) in robotics market share, detailed large language models (LLMs) in robotics market segments, market trends and opportunities, and any further data you may need to thrive in the large language models (LLMs) in robotics industry. This large language models (LLMs) in robotics market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.
The large language models (LLMs) in robotics market size has grown exponentially in recent years. It will grow from$2.97 billion in 2024 to $4.14 billion in 2025 at a compound annual growth rate (CAGR) of 39.1%. The growth during the historic period can be attributed to several factors, including the increasing demand for human-robot interaction, the rise in automation across industries, improvements in computational power, the availability of large-scale training data, and growing investments in intelligent robotics.
The large language models (LLMs) in robotics market size is expected to see exponential growth in the next few years. It will grow to $17.50 billion in 2029 at a compound annual growth rate (CAGR) of 43.4%. The growth in the forecast period can be attributed to several factors, including the increasing demand for automation across industries, rising adoption of humanoid robots in various sectors, the development of multimodal AI systems that combine vision and language, growing investment in intelligent robotics startups, and enhanced natural language understanding capabilities in robots. Major trends in the forecast period include the integration of multimodal AI combining language, vision, and action, cloud robotics enabling real-time processing and scalability, retrieval-augmented generation for dynamic knowledge access, robotics-as-a-service models democratizing access, advanced sensor technology improving environmental perception, and the use of digital twins for efficient robot training.
The increasing demand for automation is expected to drive the growth of the large language models (LLMs) in robotics market. Automation involves using technology to perform tasks with minimal human input, leading to improved efficiency and accuracy. The demand for automation is rising due to the need for operational efficiency and cost reduction, as automation allows for faster task execution, reduces errors, and lessens reliance on manual labor. LLMs in robotics further enhance automation by enabling language-based control, making them suitable for dynamic and unstructured environments. They reduce the need for manual programming by allowing robots to understand and execute tasks from natural language commands, improving operational efficiency and flexibility. For example, in September 2024, the International Federation of Robotics, a Germany-based non-profit organization, reported that 4,281,585 robotic units were operating in factories globally in 2023, marking a 10% increase from 3,904,000 units in 2022. Therefore, the increasing demand for automation is fueling the growth of the LLMs in robotics market.
Leading companies in the LLMs in robotics market are focusing on developing innovative solutions, such as advanced AI models, to boost robot autonomy, improve human-robot interaction, and optimize task execution. An advanced AI model refers to sophisticated machine learning or deep learning systems, including LLMs, neural networks, and reinforcement learning algorithms, that allow robots to independently analyze complex data, adapt to their environment, and perform tasks with high flexibility and intelligence. For instance, in March 2025, DeepMind Technologies Limited, a UK-based software company, launched the Gemini Robotics AI model. This model integrates advanced vision-language-action (VLA) capabilities, enabling robots to perceive, adapt, and interact dynamically with their surroundings. Its benefits include generality for handling new tasks, interactivity for real-time adaptability, and dexterity for precise manipulation, making it ideal for use in dynamic environments such as factories and homes.
In January 2025, 1X Technologies, a U.S.-based AI and robotics company, acquired Kind Humanoid Inc. for an undisclosed amount. This acquisition aims to accelerate the development of intelligent humanoid robots by integrating Kind's advanced bio-inspired designs with large language model capabilities. The integration will enhance human-robot interaction and expand 1X's presence in the consumer and healthcare robotics markets. Kind Humanoid Inc. is a U.S.-based company that specializes in using LLMs in robotics.
Major players in the large language models (llms) in robotics market are Microsoft Corporation, Meta Platforms Inc., Amazon Web Services Inc., Tesla Inc., Hitachi Ltd., Midea Group, NVIDIA Corporation, UiPath Inc., Google DeepMind Technologies Limited, United Robotics Group, UBTech Robotics Corp Ltd., PAL Robotics S.L., Agility Robotics Inc., Figure AI Inc., Sanctuary Cognitive Systems Corporation, Xandex Inc., OrionStar Technology Co. Ltd, Sereact GmbH, Physical Intelligence Inc, Intrinsic Innovation LLC
North America was the largest region in the large language models (LLMs) in robotics market in 2024. Asia Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in large language models (LLMs) in robotics report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.
The countries covered in the large language models (LLMs) in robotics market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
The large language models (LLMs) in robotics market consists of revenues earned by entities by providing services such as natural language-based robot control, task planning and decision-making, human-robot interaction interfaces, multi-modal perception integration and code generation for robotic actions. The market value includes the value of related goods sold by the service provider or included within the service offering. The large language models (LLMs) in robotics market also consist of sales of humanoid robots, AI-powered assistants, autonomous service robots, vision-language sensor systems, cloud-based robotic control solutions and artificial intelligence (AI) chatbots in robotics. Values in this market are 'factory gate' values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
Large Language Models (LLMs) In Robotics Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.
This report focuses on large language models (llms) in robotics market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
Where is the largest and fastest growing market for large language models (llms) in robotics ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The large language models (llms) in robotics market global report from the Business Research Company answers all these questions and many more.
The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.
The forecasts are made after considering the major factors currently impacting the market. These include the Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.