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세계의 로봇공학 분야 대규모 언어 모델(LLM) 시장 보고서(2025년)
Large Language Models (LLMs) In Robotics Global Market Report 2025
상품코드 : 1751035
리서치사 : The Business Research Company
발행일 : On Demand Report
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한글목차

로봇공학 분야 대규모 언어 모델(LLM) 시장 규모는 향후 수 년간 비약적인 성장이 전망될 예정입니다. 산업 전반에 걸친 자동화 수요 증가, 다양한 분야에서의 휴머노이드 로봇 채용 증가, 시각과 언어를 결합한 멀티 모달 AI 시스템 개발, 지능형 로봇 신흥 기업에 대한 투자 증가, 로봇 자연 언어 이해 능력의 강화 등을 들 수 있습니다. 예측 기간에 있어서의 주요 동향으로서는 언어, 시각, 행동을 조합한 멀티 모달 AI의 통합, 실시간 처리와 확장성을 가능하게 하는 클라우드 로보틱스, 다이나미 지식 액세스를 위한 검색 확장 세대, 액세스를 민주화하는 로보틱스 아즈아 서비스 모델, 환경 인식을 향상시키는 고급 센서 기술, 효율적인 로봇 훈련을 위한 디지털 트윈의 이용 등을 들 수 있습니다.

자동화에 대한 수요가 높아짐에 따라 로봇공학 분야 대규모 언어 모델(LLM) 시장의 성장을 이끌 것으로 예측됩니다. 신속한 작업 수행, 오류 감소 및 수동 종속성 감소가 가능하기 때문에 업무 효율성과 비용 절감의 필요성에서 자동화에 대한 수요가 높아지고 있습니다. 구조화된 환경에 적합합니다. 로봇이 자연어 명령을 이해하고 작업을 수행할 수 있도록 함으로써 수작업으로 프로그래밍의 필요성을 줄이고 작업 효율과 유연성을 향상시킵니다. 로봇연맹은 2023년에는 세계 공장에서 428만 1,585대의 로봇이 가동해 2022년 390만 4,000대에서 10% 증가했다고 보고했습니다.

로봇공학 분야 대규모 언어 모델(LLM) 시장의 주요 기업은 로봇의 자율성을 높이고 인간과 로봇의 상호작용을 개선하고 태스크 실행을 최적화하기 위해 첨단 AI 모델 등 혁신적인 솔루션의 개발에 주력하고 있습니다. 신경망, 강화 학습 알고리즘을 포함한 고급 머신러닝 또는 심층 학습 시스템을 통해 로봇은 복잡한 데이터를 독자적으로 분석하고 환경에 적응하며 높은 유연성과 지능으로 작업을 수행할 수 있습니다. 2025년 3월 영국의 소프트웨어 회사인 Deep Mind Technologies Limited는 제미니 로보틱스의 AI 모델을 발표했습니다. 이 모델은 고급 비전 언어 행동(VLA) 기능을 통합하여 로봇이 주변 환경을 인지하고 적응하며 동적으로 상호작용할 수 있도록 합니다. 이점은 새로운 작업에 대응할 수 있는 범용성, 실시간으로 적응할 수 있는 인터랙티브성, 정확한 조작을 가능하게 하는 편의성 등이 있어 공장이나 가정 등의 역동적인 환경에서의 사용에 최적입니다.

목차

제1장 주요 요약

제2장 시장 특징

제3장 시장 동향과 전략

제4장 시장 - 금리, 인플레이션, 지정학, 무역전쟁과 관세, 코로나 태와 회복이 시장에 미치는 영향을 포함한 거시경제 시나리오

제5장 세계의 성장 분석과 전략 분석 프레임워크

제6장 시장 세분화

제7장 지역별/국가별 분석

제8장 아시아태평양 시장

제9장 중국 시장

제10장 인도 시장

제11장 일본 시장

제12장 호주 시장

제13장 인도네시아 시장

제14장 한국 시장

제15장 서유럽 시장

제16장 영국 시장

제17장 독일 시장

제18장 프랑스 시장

제19장 이탈리아 시장

제20장 스페인 시장

제21장 동유럽 시장

제22장 러시아 시장

제23장 북미 시장

제24장 미국 시장

제25장 캐나다 시장

제26장 남미 시장

제27장 브라질 시장

제28장 중동 시장

제29장 아프리카 시장

제30장 경쟁 구도와 기업 프로파일

제31장 기타 주요 기업 및 혁신 기업

제32장 세계 시장 경쟁 벤치마킹과 대시보드

제33장 주요 인수합병(M&A)

제34장 최근 시장 동향

제35장 시장의 잠재력이 높은 국가, 부문, 전략

제36장 부록

SHW
영문 목차

영문목차

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.

Reasons to Purchase

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.

Scope

Table of Contents

1. Executive Summary

2. Large Language Models (LLMs) In Robotics Market Characteristics

3. Large Language Models (LLMs) In Robotics Market Trends And Strategies

4. Large Language Models (LLMs) In Robotics Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, And Covid And Recovery On The Market

5. Global Large Language Models (LLMs) In Robotics Growth Analysis And Strategic Analysis Framework

6. Large Language Models (LLMs) In Robotics Market Segmentation

7. Large Language Models (LLMs) In Robotics Market Regional And Country Analysis

8. Asia-Pacific Large Language Models (LLMs) In Robotics Market

9. China Large Language Models (LLMs) In Robotics Market

10. India Large Language Models (LLMs) In Robotics Market

11. Japan Large Language Models (LLMs) In Robotics Market

12. Australia Large Language Models (LLMs) In Robotics Market

13. Indonesia Large Language Models (LLMs) In Robotics Market

14. South Korea Large Language Models (LLMs) In Robotics Market

15. Western Europe Large Language Models (LLMs) In Robotics Market

16. UK Large Language Models (LLMs) In Robotics Market

17. Germany Large Language Models (LLMs) In Robotics Market

18. France Large Language Models (LLMs) In Robotics Market

19. Italy Large Language Models (LLMs) In Robotics Market

20. Spain Large Language Models (LLMs) In Robotics Market

21. Eastern Europe Large Language Models (LLMs) In Robotics Market

22. Russia Large Language Models (LLMs) In Robotics Market

23. North America Large Language Models (LLMs) In Robotics Market

24. USA Large Language Models (LLMs) In Robotics Market

25. Canada Large Language Models (LLMs) In Robotics Market

26. South America Large Language Models (LLMs) In Robotics Market

27. Brazil Large Language Models (LLMs) In Robotics Market

28. Middle East Large Language Models (LLMs) In Robotics Market

29. Africa Large Language Models (LLMs) In Robotics Market

30. Large Language Models (LLMs) In Robotics Market Competitive Landscape And Company Profiles

31. Large Language Models (LLMs) In Robotics Market Other Major And Innovative Companies

32. Global Large Language Models (LLMs) In Robotics Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Large Language Models (LLMs) In Robotics Market

34. Recent Developments In The Large Language Models (LLMs) In Robotics Market

35. Large Language Models (LLMs) In Robotics Market High Potential Countries, Segments and Strategies

36. Appendix

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