Global Autonomous Mobile Robots Market Research Report 2023-Competitive Analysis, Status and Outlook by Type, Downstream Industry, and Geography, Forecast to 2029

Global Autonomous Mobile Robots Market Research Report 2023-Competitive Analysis, Status and Outlook by Type, Downstream Industry, and Geography, Forecast to 2029

An autonomous mobile robot (AMR) is a robot that performs behaviors or tasks with a high degree of autonomy. AMR perceives the surrounding environment through sensors such as lidar, camera, and IMU, and uses intelligent algorithms to analyze the perception data, so as to effectively understand the surrounding environment, and on this basis, select the most effective way and path to perform tasks.

Market Overview:

The latest research study on the global Autonomous Mobile Robots market finds that the global Autonomous Mobile Robots market reached a value of USD 2998.69 million in 2022. It’s expected that the market will achieve USD 8755.84 million by 2028, exhibiting a CAGR of 19.55% during the forecast period.

The outbreak has had a complex impact on the Autonomous Mobile Robots industry. First of all, for the Autonomous Mobile Robots industry, the epidemic has had an impact on the production plans of companies in the Autonomous Mobile Robots industry. The industry chain of Autonomous Mobile Robots is long. Due to the severe impact of the COVID-19 epidemic on the manufacturing industry, the production and sales of raw material producers have been affected, including various components, metal materials, hardware accessories, etc. For example, during the epidemic, the production and sales of components such as sensors, motors, and control systems have been hit. This could lead to disruptions in the supply of components for the Autonomous Mobile Robots industry, affecting the company's production schedule. On the other hand, due to the impact of the new crown pneumonia epidemic, in order to prevent the further spread of the epidemic, the government issued restrictions on personnel travel and related isolation policies, which reduced the management efficiency of industry enterprises and affected the company's production plan. From the downstream point of view, in the early stage of the epidemic, downstream industry operations were affected, and the demand for products decreased. However, with the development of the epidemic, various industries have stepped up automation transformation. In the post-epidemic era, only by increasing the degree of automation can enterprises reduce the impact of the capricious epidemic surprise in the post-epidemic era. Therefore, companies in industries such as logistics have gradually reduced their dependence on manpower, and have transformed and upgraded operations through intelligent and automated equipment as much as possible. As downstream industries continue to increase automation, the market demand for Autonomous Mobile Robots will continue to increase. Therefore, from this direction, the development of the epidemic has brought opportunities for the development of Autonomous Mobile Robots.

Application of Autonomous Mobile Robots in Logistics Industry

Autonomous Mobile Robots are quickly becoming an important part of the manufacturing, warehouse and logistics industries due to their versatility and ease of integration into existing infrastructure. They can be used to perform heavy and light tasks, deliver items to human employees, and conduct security checks. Therefore, with the continuous expansion of the market size of the logistics industry and the application of technologies such as artificial intelligence in this field, the market demand for Autonomous Mobile Robots will continue to increase. The application of Autonomous Mobile Robots in the logistics industry is one of the important factors driving the development of the industry.

High technical barriers

Currently, Autonomous Mobile Robot belongs to the high-tech industry. For Autonomous Mobile Robots, most of the behavior-based implementation methods are manual programming for different tasks, which requires programmers to fully consider various possible situations, and the interaction between the robot and the environment. Interactions are well understood. Robotics is a comprehensive technology that includes algorithms, system software, mechanical hardware and electronic circuits, each of which is crucial. Autonomous Mobile Robots, navigation technology, information processing technology, etc. have an important impact on the performance of the product. Therefore, the production of Autonomous Mobile Robots has the characteristics of capital-intensive, technology-intensive and intelligence-intensive, and puts forward extremely high requirements on the company's financial strength, R&D investment, and technology accumulation. High technical barriers in the industry are one of the challenges facing market development.

Development of Path Planning Technology

In the research of mobile robot-related technologies, path planning is an important link and component. According to the degree of robot's grasp of environmental information, path planning is divided into global path planning and local path planning. With the continuous development of science and technology, the environment faced by autonomous path-planning technology will become more complex and changeable. This requires the path-planning algorithm to have the ability to quickly respond to complex environmental changes. This is not a problem currently solved by a single or unilateral algorithm. Therefore, in the future path-planning technology, in addition to researching and discovering new path-planning algorithms, industry companies will combine local path planning with global path planning, traditional path planning methods with new intelligent methods, and multi-sensor information fusion for Local path planning, local path planning and dynamic environment path planning are combined. Overall, the development of path planning technology improves the performance of Autonomous Mobile Robots, which will be one of the opportunities for the industry to grow.

Region Overview:

In 2021, the share of the Autonomous Mobile Robots market in North America stood at 28.74%.

Company Overview:

Geekplus Technology
Geekplus Technology applies advanced robotics and artificial intelligence technologies to achieve flexible, reliable and efficient solutions for warehouse, factory and supply chain management. Geekplus Technology develops tailored solutions for a wide range of industries including e-commerce, apparel, retail, logistics, 3PL, pharmaceuticals and manufacturing.
Quicktron
Founded in 2014, Quicktron provides innovative warehousing and manufactures high-performance robotic solutions for customers around the world. The company focuses on the fields of AGV, warehouse, intelligent driving, robotics, autonomous driving, automation, logistics center and material handling.
Swisslog
Swisslog is a global company with Swiss roots and one of the world's leading logistics automation companies. Swisslog is headquartered in Buchs/Aarau, Switzerland and stands for innovation, quality, industry-leading software and robotics technologies developed in-house.
Geekplus Technology is one of the major players operating in the Autonomous Mobile Robots market, holding a share of 6.38% in 2022.

Segmentation Overview:

LiDAR Based

This type refers to that the product mainly relies on lidar as a sensing device to realize positioning, obstacle avoidance and navigation based on lidar.

LiDAR+Vision Based

This type refers to products that mainly rely on lidar and cameras as sensing devices. As a means of perception, computer vision-related algorithms can realize navigation and obstacle avoidance in complex environments.

Among different product types, LiDAR+Vision Based segment is anticipated to contribute the largest market share in 2027.

Application Overview:

The market's largest segment by application is the Logistics Companies, with a market share of 40.84% in 2021.

Key Companies in the global Autonomous Mobile Robots market covered in Chapter 3:

Clearpath Robotics
6 River Systems
Standard Robots
Locus Robotics
Vecna
Quicktron
ST Engineering
ForwardX Robotics
Geekplus Technology
Seegrid
Teradyne
Zebra Technologies
MHS Robotics
Swisslog (KUKA)
Omron Adept
ABB Robotics

In Chapter 4 and Chapter 14.2, on the basis of types, the Autonomous Mobile Robots market from 2018 to 2029 is primarily split into:

LiDAR Based
LiDAR+Vision Based

In Chapter 5 and Chapter 14.3, on the basis of Downstream Industry, the Autonomous Mobile Robots market from 2018 to 2029 covers:

Hospitals and Healthcare
Manufacturing
IT/Hi-tech Companies
BFSI
Logistics Companies
Public Sector
Others

Geographically, the detailed analysis of consumption, revenue, market share and growth rate, historic and forecast (2018-2029) of the following regions are covered in Chapter 8 to Chapter 14:

North America (United States, Canada)
Europe (Germany, UK, France, Italy, Spain, Russia, Netherlands, Turkey, Switzerland, Sweden)
Asia Pacific (China, Japan, South Korea, Australia, India, Indonesia, Philippines, Malaysia)
Latin America (Brazil, Mexico, Argentina)
Middle East & Africa (Saudi Arabia, UAE, Egypt, South Africa)