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Rising Demand for Automation Fuels Growth in Generative AI for Robotics Driver: A Major Catalyst in the Evolution of the Generative Artificial Intelligence (AI) In Robotics Market in 2025
Generative Artificial Intelligence AI In Robotics
The growth of the generative artificial intelligence (AI) in robotics market is anticipated to be driven by the escalating demand for automation in various industries. This demand stems from an increasing inclination towards systems, tools, and technologies that require minimal human intervention. Industrials automation is incorporated to deal with labor shortages, elevate operational efficiency, maximize safety, cut costs, and maintain consistent quality during production tasks. Generative AI allows robots to learn and adapt to diverse tasks and surroundings, making them a vital tool for automated processes and meeting the rising need for smart automation solutions across industries. For example, the International Federation of Robotics, a Germany-based non-profit organization focused on promoting, strengthening, and preserving the global robotics industry, stated in June 2023, that there was an increase of 6% in the installation of industrial robots in Europe in 2022, reaching 72,000 units. Consequently, the augmented demand for automation in industries could be a driving force for the generative artificial intelligence (AI) in robotics market.
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What growth opportunities are expected to drive the generative artificial intelligence (ai) in robotics market's CAGR through 2034?
The market size for generative artificial intelligence (AI) in robotics has seen an exponential growth in past years. The market, which stands at $1.65 billion in 2024, is projected to escalate to $2.3 billion in 2025, exhibiting a compound annual growth rate (CAGR) of 39.3%. This significant growth throughout the historic period is owing to the increasing number of robotics startups implementing generative AI, a surge in demand for superior automation across various industries, a rise in the requirement for personalised robotic solutions, extensive investments in AI research and development, and the market expansion of consumer robotics and smart home devices.
It is anticipated that the market size for generative artificial intelligence (AI) in robotics will undergo exponential growth in the subsequent years. The market is set to expand to $8.57 billion in 2029, a growth reflected by a compound annual growth rate (CAGR) of 39.0%. The escalation during the forecast period is linked to the increasing integration of AI-powered robotics within the service industry, the surging demand for adaptable manufacturing systems, advances in generative AI tools for robotic systems, heightened demand for generative AI in precision farming, and the increasing necessity for generative AI in disaster response situations. The forecast period will also witness significant trends in technological innovation, robotic process automation, ethical AI, the marriage of AI with augmented reality, and the Internet of Things.
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What are the emerging trends shaping the future of the generative artificial intelligence (ai) in robotics market?
Leading firms in the generative AI in robotics sphere are endeavoring to refine AI tech such as vision-language-action models to bolster the capabilities of robots in terms of comprehension and engagement with their surroundings, by fusing visual and text-based information. A vision-language-action model constitutes an AI setup that synthesizes visual inputs and written instructions, enabling robots to comprehend and accomplish tasks through generating suitable actions in response to these combined inputs. For example, Google, an American company with a focus on Internet-centric services and products, unveiled its Robotics Transformer 2 (RT-2) in July 2023. RT-2 encompasses a vision-language-action model that draws upon extensive web-scale and robotics data to create generalized guidelines for managing robotic functions, thereby helping robots undertake intricate tasks with enhanced logic, symbol comprehension, and human recognition abilities. The RT-2 model outperforms its predecessor, RT-1, achieving over a three-fold increase in success rates when tested in emergent skill evaluations, suggesting its potential for facilitating a broader and smarter range of robotic applications. RT-2 equips robots with the ability to generalize from preliminary training data and adjust to new objects, situations, and directives by transferring insights gleaned from large-scale web and robotics training data.
Which growth-oriented segments of the generative artificial intelligence (ai) in robotics market are leading the industry's development?
The generative artificial intelligence (AI) in robotics market covered in this report is segmented -
1) By Component: Software, Hardware
2) By Technology: Machine Learning, Context Awareness, Computer Vision, Natural Language Processing
3) By Industry Vertical: Manufacturing, Pharmaceutical, Logistics And Warehousing, Retail, Other Industry Verticals
Subsegment:
1) By Software: AI Algorithms for Robotics, Simulation and Modeling Software, Machine Learning Frameworks, Natural Language Processing (NLP) Software, Computer Vision Software, Robotics Operating Systems (ROS), Generative Design Software
2) By Hardware: Robotic Arms, Sensors, Processors, Actuators, Embedded Systems, Robotic Platforms, Connectivity Devices
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What regions are leading the charge in the generative artificial intelligence (ai) in robotics market?
North America was the largest region in the generative artificial intelligence (AI) in robotics market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the generative AI In robotics market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
What companies are at the forefront of innovation in the generative artificial intelligence (ai) in robotics market?
Major companies operating in the generative AI In robotics market are Google LLC, Microsoft Corporation, Siemens AG, Intel Corporation, International Business Machines Corporation, ABB Ltd., NVIDIA Corporation, Intuitive Surgical Inc., KUKA AG, UiPath Inc., Zoox Inc., Nuro Inc., Boston Dynamics Inc., Locus Robotics Inc., UBTECH Robotics Corp., Velodyne Lidar Inc., Clearpath Robotics Inc., ANYbotics AG, Syntiant Corp., Misty Robotics Inc., Hanson Robotics Ltd., Thymio, PAL Robotics S.L
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What Is Covered In The Generative Artificial Intelligence (AI) In Robotics Global Market Report?
•Market Size Forecast: Examine the generative artificial intelligence (ai) in robotics market size across key regions, countries, product categories, and applications.
•Segmentation Insights: Identify and classify subsegments within the generative artificial intelligence (ai) in robotics market for a structured understanding.
•Key Players Overview: Analyze major players in the generative artificial intelligence (ai) in robotics market, including their market value, share, and competitive positioning.
•Growth Trends Exploration: Assess individual growth patterns and future opportunities in the generative artificial intelligence (ai) in robotics market.
•Segment Contributions: Evaluate how different segments drive overall growth in the generative artificial intelligence (ai) in robotics market.
•Growth Factors: Highlight key drivers and opportunities influencing the expansion of the generative artificial intelligence (ai) in robotics market.
•Industry Challenges: Identify potential risks and obstacles affecting the generative artificial intelligence (ai) in robotics market.
•Competitive Landscape: Review strategic developments in the generative artificial intelligence (ai) in robotics market, including expansions, agreements, and new product launches.
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