
Generative AI in robotics refers to the application of artificial intelligence techniques, particularly generative models like Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs), to enhance various aspects of robotic systems.These generative AI models enable robots to learn from data, generate new solutions, and adapt to changing environments. In essence, they provide robots with the ability to create new data, designs, or responses, thereby enhancing their adaptability, creativity, and problem-solving capabilities.This integration of generative AI with robotics holds the potential to significantly improve robot performance, autonomy, and versatility in a wide range of tasks and scenarios.
The global Generative AI in Robotics market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of %during the forecast period 2024-2030.
North American market for Generative AI in Robotics is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for Generative AI in Robotics is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global market for Generative AI in Robotics in Robot Design is estimated to increase from $ million in 2023 to $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The major global companies of Generative AI in Robotics include NVIDIA Robotics, OpenAI, IBM Watson, Boston Dynamics, Collaborative Robotics, Covariant, Sanctuary AI, Unitree Robotics, KUKA Robotics, ABB Robotics, etc. In 2023, the world's top three vendors accounted for approximately % of the revenue.
This report aims to provide a comprehensive presentation of the global market for Generative AI in Robotics, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Generative AI in Robotics.
The Generative AI in Robotics market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Generative AI in Robotics market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Generative AI in Robotics companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
NVIDIA Robotics
OpenAI
IBM Watson
Boston Dynamics
Collaborative Robotics
Covariant
Sanctuary AI
Unitree Robotics
KUKA Robotics
ABB Robotics
Meta AI
Segment by Type
Generative Adversarial Networks (GANs)
Variational Autoencoders (VAEs)
Reinforcement Learning (RL)
Evolutionary Algorithms (EAs)
Others
Segment by Application
Robot Design
Control Policies
Path Planning
Simulation and Testing
Human-Robot Interaction
Others
By Region
North America
United States
Canada
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Rest of Europe
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Generative AI in Robotics company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
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1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Generative AI in Robotics Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Generative Adversarial Networks (GANs)
1.2.3 Variational Autoencoders (VAEs)
1.2.4 Reinforcement Learning (RL)
1.2.5 Evolutionary Algorithms (EAs)
1.2.6 Others
1.3 Market by Application
1.3.1 Global Generative AI in Robotics Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Robot Design
1.3.3 Control Policies
1.3.4 Path Planning
1.3.5 Simulation and Testing
1.3.6 Human-Robot Interaction
1.3.7 Others
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global Generative AI in Robotics Market Perspective (2019-2030)
2.2 Global Generative AI in Robotics Growth Trends by Region
2.2.1 Global Generative AI in Robotics Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Generative AI in Robotics Historic Market Size by Region (2019-2024)
2.2.3 Generative AI in Robotics Forecasted Market Size by Region (2025-2030)
2.3 Generative AI in Robotics Market Dynamics
2.3.1 Generative AI in Robotics Industry Trends
2.3.2 Generative AI in Robotics Market Drivers
2.3.3 Generative AI in Robotics Market Challenges
2.3.4 Generative AI in Robotics Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Generative AI in Robotics Players by Revenue
3.1.1 Global Top Generative AI in Robotics Players by Revenue (2019-2024)
3.1.2 Global Generative AI in Robotics Revenue Market Share by Players (2019-2024)
3.2 Global Generative AI in Robotics Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players Ranking by Generative AI in Robotics Revenue
3.4 Global Generative AI in Robotics Market Concentration Ratio
3.4.1 Global Generative AI in Robotics Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Generative AI in Robotics Revenue in 2023
3.5 Global Key Players of Generative AI in Robotics Head office and Area Served
3.6 Global Key Players of Generative AI in Robotics, Product and Application
3.7 Global Key Players of Generative AI in Robotics, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 Generative AI in Robotics Breakdown Data by Type
4.1 Global Generative AI in Robotics Historic Market Size by Type (2019-2024)
4.2 Global Generative AI in Robotics Forecasted Market Size by Type (2025-2030)
5 Generative AI in Robotics Breakdown Data by Application
5.1 Global Generative AI in Robotics Historic Market Size by Application (2019-2024)
5.2 Global Generative AI in Robotics Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Generative AI in Robotics Market Size (2019-2030)
6.2 North America Generative AI in Robotics Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Generative AI in Robotics Market Size by Country (2019-2024)
6.4 North America Generative AI in Robotics Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Generative AI in Robotics Market Size (2019-2030)
7.2 Europe Generative AI in Robotics Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Generative AI in Robotics Market Size by Country (2019-2024)
7.4 Europe Generative AI in Robotics Market Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Generative AI in Robotics Market Size (2019-2030)
8.2 Asia-Pacific Generative AI in Robotics Market Growth Rate by Country: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Generative AI in Robotics Market Size by Region (2019-2024)
8.4 Asia-Pacific Generative AI in Robotics Market Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Generative AI in Robotics Market Size (2019-2030)
9.2 Latin America Generative AI in Robotics Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Generative AI in Robotics Market Size by Country (2019-2024)
9.4 Latin America Generative AI in Robotics Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Generative AI in Robotics Market Size (2019-2030)
10.2 Middle East & Africa Generative AI in Robotics Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Generative AI in Robotics Market Size by Country (2019-2024)
10.4 Middle East & Africa Generative AI in Robotics Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 NVIDIA Robotics
11.1.1 NVIDIA Robotics Company Details
11.1.2 NVIDIA Robotics Business Overview
11.1.3 NVIDIA Robotics Generative AI in Robotics Introduction
11.1.4 NVIDIA Robotics Revenue in Generative AI in Robotics Business (2019-2024)
11.1.5 NVIDIA Robotics Recent Development
11.2 OpenAI
11.2.1 OpenAI Company Details
11.2.2 OpenAI Business Overview
11.2.3 OpenAI Generative AI in Robotics Introduction
11.2.4 OpenAI Revenue in Generative AI in Robotics Business (2019-2024)
11.2.5 OpenAI Recent Development
11.3 IBM Watson
11.3.1 IBM Watson Company Details
11.3.2 IBM Watson Business Overview
11.3.3 IBM Watson Generative AI in Robotics Introduction
11.3.4 IBM Watson Revenue in Generative AI in Robotics Business (2019-2024)
11.3.5 IBM Watson Recent Development
11.4 Boston Dynamics
11.4.1 Boston Dynamics Company Details
11.4.2 Boston Dynamics Business Overview
11.4.3 Boston Dynamics Generative AI in Robotics Introduction
11.4.4 Boston Dynamics Revenue in Generative AI in Robotics Business (2019-2024)
11.4.5 Boston Dynamics Recent Development
11.5 Collaborative Robotics
11.5.1 Collaborative Robotics Company Details
11.5.2 Collaborative Robotics Business Overview
11.5.3 Collaborative Robotics Generative AI in Robotics Introduction
11.5.4 Collaborative Robotics Revenue in Generative AI in Robotics Business (2019-2024)
11.5.5 Collaborative Robotics Recent Development
11.6 Covariant
11.6.1 Covariant Company Details
11.6.2 Covariant Business Overview
11.6.3 Covariant Generative AI in Robotics Introduction
11.6.4 Covariant Revenue in Generative AI in Robotics Business (2019-2024)
11.6.5 Covariant Recent Development
11.7 Sanctuary AI
11.7.1 Sanctuary AI Company Details
11.7.2 Sanctuary AI Business Overview
11.7.3 Sanctuary AI Generative AI in Robotics Introduction
11.7.4 Sanctuary AI Revenue in Generative AI in Robotics Business (2019-2024)
11.7.5 Sanctuary AI Recent Development
11.8 Unitree Robotics
11.8.1 Unitree Robotics Company Details
11.8.2 Unitree Robotics Business Overview
11.8.3 Unitree Robotics Generative AI in Robotics Introduction
11.8.4 Unitree Robotics Revenue in Generative AI in Robotics Business (2019-2024)
11.8.5 Unitree Robotics Recent Development
11.9 KUKA Robotics
11.9.1 KUKA Robotics Company Details
11.9.2 KUKA Robotics Business Overview
11.9.3 KUKA Robotics Generative AI in Robotics Introduction
11.9.4 KUKA Robotics Revenue in Generative AI in Robotics Business (2019-2024)
11.9.5 KUKA Robotics Recent Development
11.10 ABB Robotics
11.10.1 ABB Robotics Company Details
11.10.2 ABB Robotics Business Overview
11.10.3 ABB Robotics Generative AI in Robotics Introduction
11.10.4 ABB Robotics Revenue in Generative AI in Robotics Business (2019-2024)
11.10.5 ABB Robotics Recent Development
11.11 Meta AI
11.11.1 Meta AI Company Details
11.11.2 Meta AI Business Overview
11.11.3 Meta AI Generative AI in Robotics Introduction
11.11.4 Meta AI Revenue in Generative AI in Robotics Business (2019-2024)
11.11.5 Meta AI Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.1.1 Research Programs/Design
13.1.1.2 Market Size Estimation
13.1.1.3 Market Breakdown and Data Triangulation
13.1.2 Data Source
13.1.2.1 Secondary Sources
13.1.2.2 Primary Sources
13.2 Author Details
13.3 Disclaimer
NVIDIA Robotics
OpenAI
IBM Watson
Boston Dynamics
Collaborative Robotics
Covariant
Sanctuary AI
Unitree Robotics
KUKA Robotics
ABB Robotics
Meta AI
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*If Applicable.
