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The autonomous mobile robots market size is valued to increase by USD 11.55 billion, at a CAGR of 33.2% from 2023 to 2028. Good ROI offered by autonomous mobile robots will drive the autonomous mobile robots market.
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Autonomous Mobile Robots (AMRs) have revolutionized industrial automation, offering significant advantages over traditional Automated Guided Vehicles (AGVs) in real-time control and fleet management. AMRs employ advanced technologies such as lidar sensors, SLAM algorithms, and computer vision for autonomous navigation, error detection, and path optimization. These capabilities lead to increased efficiency and productivity in material handling applications, with error reduction rates up to 80% and path planning improvements by a factor of three. Human-robot interaction is facilitated through remote monitoring and task scheduling, ensuring compliance with safety protocols and collision avoidance. With a payload capacity of up to 1500 kg and 3D mapping capabilities, AMRs can effectively manage complex warehouse environments, enhancing overall industrial automation. Battery life and safety features are crucial considerations, with AMRs offering extended runtimes and robust safety systems. AMR software and navigation systems enable simultaneous localization and motion control, while AGV integration streamlines operations and data analytics provides valuable insights for predictive maintenance.
The significant return on investment (ROI) that autonomous mobile robots provide is the primary factor fueling market growth.
The emergence of hybrid Unmanned Vehicle (UMV) systems represents the latest market trend in technology. A growing number of industries are adopting these advanced systems for various applications.
The high deployment cost of autonomous mobile robots represents a significant challenge that can hinder the growth of the industry.
The autonomous mobile robots industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in "USD million" for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.
The aerospace and defense segment is estimated to witness significant growth during the forecast period.
The market is experiencing continuous growth, driven by advancements in real-time control, fleet management, and human-robot interaction. Autonomous navigation systems, integrated with warehouse automation, enable error detection and remote monitoring, while path optimization and mobile manipulation enhance productivity. Lidar sensors and SLAM algorithms facilitate accurate mapping and planning, enabling seamless path planning and obstacle avoidance. Robot kinematics and localization techniques ensure precise motion control, while safety features and collision avoidance systems prioritize operational safety. Industrial automation applications benefit from AMRs' ability to integrate with AGV systems, computer vision, and predictive maintenance.
With a 15% increase in task scheduling efficiency, data analytics and mapping technology streamline operations, making AMRs indispensable in material handling and payload capacity applications. The market's expansion is fueled by the adoption of 3D mapping, sensor fusion, and safety protocols, further enhancing navigation systems and motion control capabilities.
The Aerospace and defense segment was valued at USD 527.50 billion in 2018 and showed a gradual increase during the forecast period.
APAC is estimated to contribute 34% 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.
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The Autonomous Mobile Robots (AMR) market in North America is experiencing substantial growth, driven by escalating investments in innovation and research and development from both public and private sectors, as well as academia. This investment focus is particularly prominent in the United States, where the Unmanned Aerial Vehicle (UAV) sector generates significant revenue from applications in military, defense, and commercial sectors. For instance, a recent contract included the integration of 20 common sensor payloads, such as turrets and electronics units, into each system.
Notably, organizations like the National Oceanic and Atmospheric Administration Research office and the Navy's Office of Naval Research are leading the charge in this field through extensive research. This technological advancement is expected to yield significant operational efficiency gains and cost reductions in various industries, including logistics, manufacturing, and agriculture.
Customer Landscape of Autonomous Mobile Robots Industry
Companies are implementing various strategies, such as strategic alliances, autonomous mobile robots market forecast, partnerships, mergers and acquisitions, geographical expansion, and product/service launches, to enhance their presence in the industry.
ABB Ltd. - This company specializes in autonomous mobile robot technology, featuring innovative solutions like the Flexley Tug, Flexley Mover, and Flexley Stack. These robots optimize industrial operations through advanced automation, enhancing efficiency and productivity. The technology is designed to adapt to various environments, making it a versatile addition to modern industrial landscapes.
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 Autonomous Mobile Robots Market insights. See full methodology.
Market Scope |
|
Report Coverage |
Details |
Page number |
189 |
Base year |
2023 |
Historic period |
2018-2022 |
Forecast period |
2024-2028 |
Growth momentum & CAGR |
Accelerate at a CAGR of 33.2% |
Market growth 2024-2028 |
USD 11551.3 million |
Market structure |
Fragmented |
YoY growth 2023-2024(%) |
22.8 |
Key countries |
Japan, US, UK, Germany, and China |
Competitive landscape |
Leading Companies, Market Positioning of Companies, Competitive Strategies, and Industry Risks |
"Leverage Technavio's unparalleled research methodology and expert analysis for accurate, actionable market intelligence."
The market is experiencing significant growth as businesses seek to enhance their operations through automation and improve efficiency in various industries, particularly in logistics and manufacturing. However, the deployment and management of these robots come with unique navigation challenges that must be addressed to ensure optimal performance. Mobile robot navigation requires advanced techniques such as Lidar sensor data processing and SLAM algorithm comparison and optimization for accurate positioning and mapping. AMR fleet management software plays a crucial role in addressing these challenges, enabling real-time obstacle avoidance and human-robot collaboration in industrial settings. Performance evaluation of autonomous mobile robot systems is essential for businesses seeking to maximize their return on investment. Path planning algorithms and advanced sensor fusion for autonomous navigation are critical components of AMR systems, ensuring efficient material handling and compliance with safety standards. Safety is a top priority in the deployment and maintenance of AMR fleets. Autonomous mobile robot safety standards are continuously evolving to minimize risks and ensure seamless integration with existing systems. Predictive maintenance and battery management systems are essential for maintaining optimal performance and minimizing downtime. Wireless communication protocols and security considerations are also essential in the deployment of AMRs. Real-time obstacle avoidance and advanced sensor fusion for autonomous navigation are critical components of AMR systems, ensuring efficient material handling and compliance with safety standards. The integration of AMRs with existing systems is a significant challenge that requires careful planning and execution. According to a recent study, businesses that successfully integrate AMRs into their operations experience a 30% increase in operational efficiency compared to those that do not. This improvement can have a significant impact on supply chain performance and operational planning. In conclusion, the market offers numerous benefits for businesses seeking to improve efficiency and productivity. However, addressing navigation challenges, ensuring safety, and integrating these systems with existing infrastructure require careful planning and investment. By leveraging advanced technologies and best practices, businesses can optimize their AMR fleets and achieve significant operational gains.
What is the expected growth of the Autonomous Mobile Robots Market between 2024 and 2028?
USD 11.55 billion, at a CAGR of 33.2%
What segmentation does the market report cover?
The report is segmented by End-user (Aerospace and defense, Oil and gas, Logistics transportation and manufacturing, Agriculture and mining, and Others), Component (Hardware and Software), and Geography (North America, Europe, APAC, Middle East and Africa, and South America)
Which regions are analyzed in the report?
North America, Europe, APAC, Middle East and Africa, and South America
What are the key growth drivers and market challenges?
Good ROI offered by autonomous mobile robots, High deployment cost of autonomous mobile robots
Who are the major players in the Autonomous Mobile Robots Market?
ABB Ltd., Align Production Systems, HAHN Group GmbH, IAM Robotics, JASCI LLC, Koerber AG, L3Harris Technologies Inc., Lockheed Martin Corp., MIDEA Group Co. Ltd., OMRON Corp., QinetiQ Ltd., Robotnik Automation SLL, SESTO ROBOTICS Pte. Ltd., Stanley Robotics, Teradyne Inc., Thales Group, The Boeing Co., Toyota Motor Corp., Vecna Robotics Inc., and Zebra Technologies Corp.
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1 Executive Summary
2 Market Landscape
3 Market Sizing
4 Historic Market Size
5 Five Forces Analysis
6 Market Segmentation by End-user
7 Market Segmentation by Component
8 Customer Landscape
9 Geographic Landscape
10 Drivers, Challenges, and Opportunity/Restraints
11 Competitive Landscape
12 Competitive Analysis
13 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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