Global Generative AI in Robotics Market Growth (Status and Outlook) 2024-2030

Global Generative AI in Robotics Market Growth (Status and Outlook) 2024-2030

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.

LPI (LP Information)' newest research report, the “Generative AI in Robotics Industry Forecast” 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’ 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: The report will take approximately 2 business days to prepare and deliver.