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The artificial intelligence robots market size is forecast to increase by USD 43.09 billion, at a CAGR of 37.4% between 2024 and 2029.
Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
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The market continues to evolve, driven by advancements in object recognition, humanoid robots, and safety protocols. These technologies are increasingly being integrated into various sectors, revolutionizing industries such as manufacturing, healthcare, and logistics. Object recognition, a key component of computer vision systems, enables robots to identify and classify objects, enhancing their ability to perform tasks autonomously. Humanoid robots, with their resemblance to human beings, are gaining traction in fields like healthcare and education, offering human-robot interaction and collaborative capabilities. Safety protocols, including emergency stop mechanisms and power systems, are essential for ensuring the safe operation of robots in industrial settings.
Service robots, with their degrees of freedom and payload capacity, are transforming industries like hospitality and retail, offering improved efficiency and customer service. Deep learning models and machine learning algorithms are powering the next generation of robots, enabling them to learn and adapt to new environments. Computer vision systems and navigation systems are critical components, enabling robots to navigate complex environments and perform tasks with precision. Manufacturing automation is a significant application area for industrial robots, with advancements in motor control systems, sensor integration, and actuator technology driving productivity and efficiency. In healthcare, surgical robots are revolutionizing procedures, offering enhanced precision and control.
The ongoing unfolding of market activities includes advancements in battery technology, wireless communication, and software development kits, enabling the development of more advanced and autonomous robots. The integration of natural language processing and cloud computing is further expanding the capabilities of robots, enabling them to interact with humans more effectively and process vast amounts of data in real-time. The evolving nature of the market is marked by continuous innovation and the integration of various technologies, including deep learning models, payload capacity, and degrees of freedom, to create robots that can adapt to a wide range of applications and environments. The market is expected to continue to grow and transform, offering significant opportunities for businesses and innovators alike.
The artificial intelligence robots industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in "USD million" for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.
The software segment is estimated to witness significant growth during the forecast period.
Artificial Intelligence (AI) robots are revolutionizing industries with their advanced capabilities, integrating technologies such as deep learning models, computer vision systems, and natural language processing. Major players like KUKA (MIDEA Group) and FANUC are at the forefront, providing software solutions tailored to AI robots. KUKA offers application software like KUKA HRC App, KUKA.PerceptionTech, and KUKA.PickControl; system software such as KUKA SystemSoftware and KUKA Sunrise.OS; and cloud software including KUKA Xpert, KUKA Connect, and KUKA Compose. FANUC, meanwhile, provides simulation software through ROBOGUIDE. These software offerings enable AI robots to execute complex tasks, from manufacturing automation and defect detection to human-robot interaction and path planning.
Collaborative robots, autonomous vehicles, and service robots are transforming sectors like healthcare, logistics, and manufacturing, with safety protocols and emergency stop mechanisms ensuring optimal functionality and user safety. Energy efficiency and motor control systems are essential considerations, as is sensor integration and actuator technology for precise movement and object recognition. Battery technology and wireless communication are also vital for mobility and flexibility. The future of AI robots lies in their ability to learn from data analytics and adapt to their environments, with machine learning algorithms and deep learning models paving the way for continuous improvement.
The Software segment was valued at USD 1.91 billion in 2019 and showed a gradual increase during the forecast period.
APAC is estimated to contribute 44% to the growth of the global market during the forecast period.Technavio’s analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.
The market is witnessing significant growth, with APAC leading the charge due to the increasing adoption of AI-driven robotics in various sectors. Countries like China, Japan, and South Korea are major contributors to the regional market's growth. Advanced technologies and mobile devices, such as smartphones, tablets, and laptops, are creating a demand for AI robots in emerging economies. Industrial robots, a significant segment of the market, are predominantly used in manufacturing for automated, repetitive, and hazardous tasks, increasing productivity and accuracy. Machine learning and artificial intelligence are revolutionizing industrial robotics, with applications ranging from manufacturing automation and supply chain optimization to quality control and defect detection.
Collaborative robots, energy-efficient motor control systems, and sensor integration are other key trends. Deep learning models and computer vision systems enable object recognition and navigation systems for autonomous vehicles and humanoid robots. Safety protocols, emergency stop mechanisms, and power systems ensure safe human-robot interaction. Machine learning algorithms and cloud computing facilitate software development and data analytics. Service robots and warehouse automation are other growing sectors, with applications in healthcare, retail, and logistics. Payload capacity, degrees of freedom, and maintenance procedures are crucial considerations for various industries. Battery technology, actuator technology, natural language processing, wireless communication, and programming languages are essential components of AI-powered robots.
The future of the market lies in the integration of AI, machine learning, and robotics to create advanced, intelligent systems for various industries.
Our researchers analyzed the data with 2024 as the base year, along with the key drivers, trends, and challenges. A holistic analysis of drivers will help companies refine their marketing strategies to gain a competitive advantage.
The artificial intelligence robots market forecasting report includes the adoption lifecycle of the market, covering from the innovator’s stage to the laggard’s stage. It focuses on adoption rates in different regions based on penetration. Furthermore, the artificial intelligence robots market report also includes key purchase criteria and drivers of price sensitivity to help companies evaluate and develop their market growth analysis strategies.
Customer Landscape
Companies are implementing various strategies, such as strategic alliances, artificial intelligence robots market forecast, partnerships, mergers and acquisitions, geographical expansion, and product/service launches, to enhance their presence in the industry.
ABB Ltd. - Artificial intelligence robotics company provides innovative solutions for diverse industries, including healthcare, automotive, construction, education, electronics, and food and beverages, through its offerings such as ASTI mobile robotics. These advanced technologies streamline operations and enhance efficiency.
The industry research and growth report includes detailed analyses of the competitive landscape of the market and information about key companies, including:
Qualitative and quantitative analysis of companies has been conducted to help clients understand the wider business environment as well as the strengths and weaknesses of key industry players. Data is qualitatively analyzed to categorize companies as pure play, category-focused, industry-focused, and diversified; it is quantitatively analyzed to categorize companies as dominant, leading, strong, tentative, and weak.
Dive into Technavio’s robust research methodology, blending expert interviews, extensive data synthesis, and validated models for unparalleled Artificial Intelligence Robots Market insights. See full methodology.
Market Scope |
|
Report Coverage |
Details |
Page number |
224 |
Base year |
2024 |
Historic period |
2019-2023 |
Forecast period |
2025-2029 |
Growth momentum & CAGR |
Accelerate at a CAGR of 37.4% |
Market growth 2025-2029 |
USD 43094.7 million |
Market structure |
Fragmented |
YoY growth 2024-2025(%) |
36.0 |
Key countries |
US, China, Japan, Germany, India, UK, Canada, South Korea, France, and Italy |
Competitive landscape |
Leading Companies, Market Positioning of Companies, Competitive Strategies, and Industry Risks |
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1 Executive Summary
2 Technavio Analysis
3 Market Landscape
4 Market Sizing
5 Historic Market Size
6 Qualitative Analysis
7 Five Forces Analysis
8 Market Segmentation by Technology
9 Market Segmentation by Type
10 Market Segmentation by End-user
11 Customer Landscape
12 Geographic Landscape
13 Drivers, Challenges, and Opportunity/Restraints
14 Competitive Landscape
15 Competitive Analysis
16 Appendix
Research Framework
Technavio presents a detailed picture of the market by way of study, synthesis, and summation of data from multiple sources. The analysts have presented the various facets of the market with a particular focus on identifying the key industry influencers. The data thus presented is comprehensive, reliable, and the result of extensive research, both primary and secondary.
INFORMATION SOURCES
Primary sources
Secondary sources
DATA ANALYSIS
Data Synthesis
Data Validation
REPORT WRITING
Qualitative
Quantitative
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