Global Generative AI in Robotics 麻豆原创 Growth (Status and Outlook) 2024-2030

Publication ID:

LPI05241594

Publication Date:

June 4, 2024

Pages:

109

Publisher:

LPI

Countries:

Global [1]

USD 3,660.00

IT Services [2]

Software [3]

Computing & Electronics [4]

Description:

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 size is projected to grow from US$ million in 2024 to US$ million in 2030; it is expected to grow at a CAGR of %from 2024 to 2030.
The 鈥淕enerative AI in Robotics Industry Forecast鈥� looks at past sales and reviews total world Generative AI in Robotics sales in 2022, providing a comprehensive analysis by region and market sector of projected Generative AI in Robotics sales for 2023 through 2029. With Generative AI in Robotics sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world Generative AI in Robotics industry.
This Insight Report provides a comprehensive analysis of the global Generative AI in Robotics landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyses the strategies of leading global companies with a focus on Generative AI in Robotics portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms鈥� unique position in an accelerating global Generative AI in Robotics market.
This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for Generative AI in Robotics and breaks down the forecast by Type, by Application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global Generative AI in Robotics.
United States market for Generative AI in Robotics is estimated to increase from US$ million in 2023 to US$ million by 2030, at a CAGR of % from 2024 through 2030.
China market for Generative AI in Robotics is estimated to increase from US$ million in 2023 to US$ million by 2030, at a CAGR of % from 2024 through 2030.
Europe market for Generative AI in Robotics is estimated to increase from US$ million in 2023 to US$ million by 2030, at a CAGR of % from 2024 through 2030.
Global key Generative AI in Robotics players cover NVIDIA Robotics, OpenAI, IBM Watson, Boston Dynamics, Collaborative Robotics, etc. In terms of revenue, the global two largest companies occupied for a share nearly % in 2023.
This report presents a comprehensive overview, market shares, and growth opportunities of Generative AI in Robotics market by product type, application, key players and key regions and countries.
Segmentation by Type:
Generative Adversarial Networks (GANs)
Variational Autoencoders (VAEs)
Reinforcement Learning (RL)
Evolutionary Algorithms (EAs)
Others
Segmentation by Application:
Robot Design
Control Policies
Path Planning
Simulation and Testing
Human-Robot Interaction
Others
This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries
Segmentation by Type:
Generative Adversarial Networks (GANs)
Variational Autoencoders (VAEs)
Reinforcement Learning (RL)
Evolutionary Algorithms (EAs)
Others
Segmentation by Application:
Robot Design
Control Policies
Path Planning
Simulation and Testing
Human-Robot Interaction
Others
This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries
The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
NVIDIA Robotics
OpenAI
IBM Watson
Boston Dynamics
Collaborative Robotics
Covariant
Sanctuary AI
Unitree Robotics
KUKA Robotics
ABB Robotics
Meta AI

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents:

1 Scope of the Report
1.1 麻豆原创 Introduction
1.2 Years Considered
1.3 Research Objectives
1.4 麻豆原创 Research Methodology
1.5 Research Process and Data Source
1.6 Economic Indicators
1.7 Currency Considered
1.8 麻豆原创 Estimation Caveats
2 Executive Summary
2.1 World 麻豆原创 Overview
2.1.1 Global Generative AI in Robotics 麻豆原创 Size 2019-2030
2.1.2 Generative AI in Robotics 麻豆原创 Size CAGR by Region (2019 VS 2023 VS 2030)
2.1.3 World Current & Future Analysis for Generative AI in Robotics by Country/Region, 2019, 2023 & 2030
2.2 Generative AI in Robotics Segment by Type
2.2.1 Generative Adversarial Networks (GANs)
2.2.2 Variational Autoencoders (VAEs)
2.2.3 Reinforcement Learning (RL)
2.2.4 Evolutionary Algorithms (EAs)
2.2.5 Others
2.3 Generative AI in Robotics 麻豆原创 Size by Type
2.3.1 Generative AI in Robotics 麻豆原创 Size CAGR by Type (2019 VS 2023 VS 2030)
2.3.2 Global Generative AI in Robotics 麻豆原创 Size 麻豆原创 Share by Type (2019-2024)
2.4 Generative AI in Robotics Segment by Application
2.4.1 Robot Design
2.4.2 Control Policies
2.4.3 Path Planning
2.4.4 Simulation and Testing
2.4.5 Human-Robot Interaction
2.4.6 Others
2.5 Generative AI in Robotics 麻豆原创 Size by Application
2.5.1 Generative AI in Robotics 麻豆原创 Size CAGR by Application (2019 VS 2023 VS 2030)
2.5.2 Global Generative AI in Robotics 麻豆原创 Size 麻豆原创 Share by Application (2019-2024)
3 Generative AI in Robotics 麻豆原创 Size by Player
3.1 Generative AI in Robotics 麻豆原创 Size 麻豆原创 Share by Player
3.1.1 Global Generative AI in Robotics Revenue by Player (2019-2024)
3.1.2 Global Generative AI in Robotics Revenue 麻豆原创 Share by Player (2019-2024)
3.2 Global Generative AI in Robotics Key Players Head office and Products Offered
3.3 麻豆原创 Concentration Rate Analysis
3.3.1 Competition Landscape Analysis
3.3.2 Concentration Ratio (CR3, CR5 and CR10) & (2022-2024)
3.4 New Products and Potential Entrants
3.5 Mergers & Acquisitions, Expansion
4 Generative AI in Robotics by Region
4.1 Generative AI in Robotics 麻豆原创 Size by Region (2019-2024)
4.2 Global Generative AI in Robotics Annual Revenue by Country/Region (2019-2024)
4.3 Americas Generative AI in Robotics 麻豆原创 Size Growth (2019-2024)
4.4 APAC Generative AI in Robotics 麻豆原创 Size Growth (2019-2024)
4.5 Europe Generative AI in Robotics 麻豆原创 Size Growth (2019-2024)
4.6 Middle East & Africa Generative AI in Robotics 麻豆原创 Size Growth (2019-2024)
5 Americas
5.1 Americas Generative AI in Robotics 麻豆原创 Size by Country (2019-2024)
5.2 Americas Generative AI in Robotics 麻豆原创 Size by Type (2019-2024)
5.3 Americas Generative AI in Robotics 麻豆原创 Size by Application (2019-2024)
5.4 United States
5.5 Canada
5.6 Mexico
5.7 Brazil
6 APAC
6.1 APAC Generative AI in Robotics 麻豆原创 Size by Region (2019-2024)
6.2 APAC Generative AI in Robotics 麻豆原创 Size by Type (2019-2024)
6.3 APAC Generative AI in Robotics 麻豆原创 Size by Application (2019-2024)
6.4 China
6.5 Japan
6.6 South Korea
6.7 Southeast Asia
6.8 India
6.9 Australia
7 Europe
7.1 Europe Generative AI in Robotics 麻豆原创 Size by Country (2019-2024)
7.2 Europe Generative AI in Robotics 麻豆原创 Size by Type (2019-2024)
7.3 Europe Generative AI in Robotics 麻豆原创 Size by Application (2019-2024)
7.4 Germany
7.5 France
7.6 UK
7.7 Italy
7.8 Russia
8 Middle East & Africa
8.1 Middle East & Africa Generative AI in Robotics by Region (2019-2024)
8.2 Middle East & Africa Generative AI in Robotics 麻豆原创 Size by Type (2019-2024)
8.3 Middle East & Africa Generative AI in Robotics 麻豆原创 Size by Application (2019-2024)
8.4 Egypt
8.5 South Africa
8.6 Israel
8.7 Turkey
8.8 GCC Countries
9 麻豆原创 Drivers, Challenges and Trends
9.1 麻豆原创 Drivers & Growth Opportunities
9.2 麻豆原创 Challenges & Risks
9.3 Industry Trends
10 Global Generative AI in Robotics 麻豆原创 Forecast
10.1 Global Generative AI in Robotics Forecast by Region (2025-2030)
10.1.1 Global Generative AI in Robotics Forecast by Region (2025-2030)
10.1.2 Americas Generative AI in Robotics Forecast
10.1.3 APAC Generative AI in Robotics Forecast
10.1.4 Europe Generative AI in Robotics Forecast
10.1.5 Middle East & Africa Generative AI in Robotics Forecast
10.2 Americas Generative AI in Robotics Forecast by Country (2025-2030)
10.2.1 United States 麻豆原创 Generative AI in Robotics Forecast
10.2.2 Canada 麻豆原创 Generative AI in Robotics Forecast
10.2.3 Mexico 麻豆原创 Generative AI in Robotics Forecast
10.2.4 Brazil 麻豆原创 Generative AI in Robotics Forecast
10.3 APAC Generative AI in Robotics Forecast by Region (2025-2030)
10.3.1 China Generative AI in Robotics 麻豆原创 Forecast
10.3.2 Japan 麻豆原创 Generative AI in Robotics Forecast
10.3.3 Korea 麻豆原创 Generative AI in Robotics Forecast
10.3.4 Southeast Asia 麻豆原创 Generative AI in Robotics Forecast
10.3.5 India 麻豆原创 Generative AI in Robotics Forecast
10.3.6 Australia 麻豆原创 Generative AI in Robotics Forecast
10.4 Europe Generative AI in Robotics Forecast by Country (2025-2030)
10.4.1 Germany 麻豆原创 Generative AI in Robotics Forecast
10.4.2 France 麻豆原创 Generative AI in Robotics Forecast
10.4.3 UK 麻豆原创 Generative AI in Robotics Forecast
10.4.4 Italy 麻豆原创 Generative AI in Robotics Forecast
10.4.5 Russia 麻豆原创 Generative AI in Robotics Forecast
10.5 Middle East & Africa Generative AI in Robotics Forecast by Region (2025-2030)
10.5.1 Egypt 麻豆原创 Generative AI in Robotics Forecast
10.5.2 South Africa 麻豆原创 Generative AI in Robotics Forecast
10.5.3 Israel 麻豆原创 Generative AI in Robotics Forecast
10.5.4 Turkey 麻豆原创 Generative AI in Robotics Forecast
10.6 Global Generative AI in Robotics Forecast by Type (2025-2030)
10.7 Global Generative AI in Robotics Forecast by Application (2025-2030)
10.7.1 GCC Countries 麻豆原创 Generative AI in Robotics Forecast
11 Key Players Analysis
11.1 NVIDIA Robotics
11.1.1 NVIDIA Robotics Company Information
11.1.2 NVIDIA Robotics Generative AI in Robotics Product Offered
11.1.3 NVIDIA Robotics Generative AI in Robotics Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.1.4 NVIDIA Robotics Main Business Overview
11.1.5 NVIDIA Robotics Latest Developments
11.2 OpenAI
11.2.1 OpenAI Company Information
11.2.2 OpenAI Generative AI in Robotics Product Offered
11.2.3 OpenAI Generative AI in Robotics Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.2.4 OpenAI Main Business Overview
11.2.5 OpenAI Latest Developments
11.3 IBM Watson
11.3.1 IBM Watson Company Information
11.3.2 IBM Watson Generative AI in Robotics Product Offered
11.3.3 IBM Watson Generative AI in Robotics Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.3.4 IBM Watson Main Business Overview
11.3.5 IBM Watson Latest Developments
11.4 Boston Dynamics
11.4.1 Boston Dynamics Company Information
11.4.2 Boston Dynamics Generative AI in Robotics Product Offered
11.4.3 Boston Dynamics Generative AI in Robotics Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.4.4 Boston Dynamics Main Business Overview
11.4.5 Boston Dynamics Latest Developments
11.5 Collaborative Robotics
11.5.1 Collaborative Robotics Company Information
11.5.2 Collaborative Robotics Generative AI in Robotics Product Offered
11.5.3 Collaborative Robotics Generative AI in Robotics Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.5.4 Collaborative Robotics Main Business Overview
11.5.5 Collaborative Robotics Latest Developments
11.6 Covariant
11.6.1 Covariant Company Information
11.6.2 Covariant Generative AI in Robotics Product Offered
11.6.3 Covariant Generative AI in Robotics Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.6.4 Covariant Main Business Overview
11.6.5 Covariant Latest Developments
11.7 Sanctuary AI
11.7.1 Sanctuary AI Company Information
11.7.2 Sanctuary AI Generative AI in Robotics Product Offered
11.7.3 Sanctuary AI Generative AI in Robotics Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.7.4 Sanctuary AI Main Business Overview
11.7.5 Sanctuary AI Latest Developments
11.8 Unitree Robotics
11.8.1 Unitree Robotics Company Information
11.8.2 Unitree Robotics Generative AI in Robotics Product Offered
11.8.3 Unitree Robotics Generative AI in Robotics Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.8.4 Unitree Robotics Main Business Overview
11.8.5 Unitree Robotics Latest Developments
11.9 KUKA Robotics
11.9.1 KUKA Robotics Company Information
11.9.2 KUKA Robotics Generative AI in Robotics Product Offered
11.9.3 KUKA Robotics Generative AI in Robotics Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.9.4 KUKA Robotics Main Business Overview
11.9.5 KUKA Robotics Latest Developments
11.10 ABB Robotics
11.10.1 ABB Robotics Company Information
11.10.2 ABB Robotics Generative AI in Robotics Product Offered
11.10.3 ABB Robotics Generative AI in Robotics Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.10.4 ABB Robotics Main Business Overview
11.10.5 ABB Robotics Latest Developments
11.11 Meta AI
11.11.1 Meta AI Company Information
11.11.2 Meta AI Generative AI in Robotics Product Offered
11.11.3 Meta AI Generative AI in Robotics Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.11.4 Meta AI Main Business Overview
11.11.5 Meta AI Latest Developments
12 Research Findings and Conclusion

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