Global Generative AI in Robotics Market 2024 by Company, Regions, Type and Application, Forecast to 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.
According to our (Global Info Research) latest study, the global Generative AI in Robotics market size was valued at US$ million in 2023 and is forecast to a readjusted size of USD million by 2030 with a CAGR of %during review period.
This report is a detailed and comprehensive analysis for global Generative AI in Robotics market. Both quantitative and qualitative analyses are presented by company, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2024, are provided.
Key Features:
Global Generative AI in Robotics market size and forecasts, in consumption value ($ Million), 2019-2030
Global Generative AI in Robotics market size and forecasts by region and country, in consumption value ($ Million), 2019-2030
Global Generative AI in Robotics market size and forecasts, by Type and by Application, in consumption value ($ Million), 2019-2030
Global Generative AI in Robotics market shares of main players, in revenue ($ Million), 2019-2024
The Primary Objectives in This Report Are:
To determine the size of the total market opportunity of global and key countries
To assess the growth potential for Generative AI in Robotics
To forecast future growth in each product and end-use market
To assess competitive factors affecting the marketplace
This report profiles key players in the global Generative AI in Robotics market based on the following parameters - company overview, revenue, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include NVIDIA Robotics, OpenAI, IBM Watson, Boston Dynamics, Collaborative Robotics, Covariant, Sanctuary AI, Unitree Robotics, KUKA Robotics, ABB Robotics, etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.
Market segmentation
Generative AI in Robotics market is split by Type and by Application. For the period 2019-2030, the growth among segments provides accurate calculations and forecasts for Consumption Value by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.
Market segmentation
Generative AI in Robotics market is split by Type and by Application. For the period 2018-2029, the growth among segments provides accurate calculations and forecasts for Consumption Value by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.
Market segment by Type
Generative Adversarial Networks (GANs)
Variational Autoencoders (VAEs)
Reinforcement Learning (RL)
Evolutionary Algorithms (EAs)
Others
Market segment by Application
Robot Design
Control Policies
Path Planning
Simulation and Testing
Human-Robot Interaction
Others
Market segment by players, this report covers
NVIDIA Robotics
OpenAI
IBM Watson
Boston Dynamics
Collaborative Robotics
Covariant
Sanctuary AI
Unitree Robotics
KUKA Robotics
ABB Robotics
Meta AI
Market segment by regions, regional analysis covers
North America (United States, Canada and Mexico)
Europe (Germany, France, UK, Russia, Italy and Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia and Rest of Asia-Pacific)
South America (Brazil, Rest of South America)
Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)
The content of the study subjects, includes a total of 13 chapters:
Chapter 1, to describe Generative AI in Robotics product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of Generative AI in Robotics, with revenue, gross margin, and global market share of Generative AI in Robotics from 2019 to 2024.
Chapter 3, the Generative AI in Robotics competitive situation, revenue, and global market share of top players are analyzed emphatically by landscape contrast.
Chapter 4 and 5, to segment the market size by Type and by Application, with consumption value and growth rate by Type, by Application, from 2019 to 2030.
Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2019 to 2024.and Generative AI in Robotics market forecast, by regions, by Type and by Application, with consumption value, from 2024 to 2030.
Chapter 11, market dynamics, drivers, restraints, trends, Porters Five Forces analysis.
Chapter 12, the key raw materials and key suppliers, and industry chain of Generative AI in Robotics.
Chapter 13, to describe Generative AI in Robotics research findings and conclusion.