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As per Intent Market Research, the Autonomous Mobile Robots Market was valued at USD 1.7 billion in 2023 and will surpass USD 5.2 billion by 2030; growing at a CAGR of 16.9% during 2024 – 2030.
The base year for analysis is 2024. This growth is underpinned by the increasing demand for automation, the rise of e-commerce, and the need for optimized operational efficiency.The Autonomous Mobile Robots (AMR) market is experiencing rapid growth, driven by advancements in AI, machine learning, and sensor technology. AMRs are self-navigating robots that operate autonomously without the need for human intervention. Their versatility and adaptability have made them essential across industries such as logistics, healthcare, and manufacturing.
In the logistics sector, the largest subsegment within the AMR market is material handling, accounting for the largest share in 2024. As e-commerce continues its upward trajectory, the demand for automated solutions in warehouses and distribution centers is surging. AMRs used for material handling are being adopted widely to move goods, sort packages, and optimize warehouse operations. These robots contribute to reducing human error, enhancing speed, and increasing the flexibility of logistics operations.
Material handling AMRs are especially favored by major e-commerce players like Amazon and Alibaba, who leverage these robots to streamline order fulfillment and reduce delivery times. The increased integration of AMRs in logistics is also attributed to the growing adoption of Industry 4.0 principles, which emphasize the need for interconnected systems and smart logistics solutions.
In the healthcare industry, the intralogistics robots subsegment is experiencing the fastest growth, with a projected CAGR of 26.5% from 2024 to 2030. Hospitals and medical facilities are increasingly turning to AMRs for tasks such as transporting medical supplies, pharmaceuticals, and linens, reducing the strain on healthcare workers and enabling them to focus on more critical tasks. These robots enhance the operational efficiency of hospitals by ensuring timely deliveries and minimizing the risk of contamination during the transfer of sensitive medical supplies.
The growing shortage of healthcare workers and the need for infection control have further accelerated the adoption of AMRs in this sector. With hospitals around the world under pressure to reduce operational costs and improve service quality, the demand for AMRs in healthcare is expected to continue rising in the coming years.
In the manufacturing sector, automated guided vehicles (AGVs) are the largest subsegment within the AMR market, driven by the growing trend of smart factories. These robots are increasingly being used to transport raw materials, work-in-progress items, and finished goods across factory floors, ensuring seamless production processes. AGVs are equipped with advanced navigation systems, allowing them to autonomously follow pre-defined routes within factories, reducing the need for manual labor and optimizing production efficiency.
The shift towards automation in manufacturing is motivated by the desire to enhance productivity, reduce labor costs, and minimize downtime. Leading automotive and electronics manufacturers are investing heavily in AGVs to streamline their production lines, especially as they adopt lean manufacturing practices. The rising demand for mass customization and shorter product lifecycles is also fueling the need for flexible and autonomous solutions like AGVs.
In the retail sector, store-assistant robots are emerging as the fastest-growing subsegment, with a CAGR of 25.8% projected from 2024 to 2030. These robots are designed to assist customers in-store, offering services such as guiding shoppers to specific products, checking stock availability, and even processing payments. Major retailers, particularly in the grocery and apparel sectors, are adopting these robots to enhance customer experience, reduce operational bottlenecks, and provide personalized shopping experiences.
The rise of smart retail concepts and the growing emphasis on contactless shopping are key drivers of this growth. Retailers are increasingly focusing on using these robots to collect valuable data on customer behavior and preferences, enabling them to tailor their offerings and improve store efficiency. As consumer expectations for seamless and interactive in-store experiences grow, the adoption of store-assistant robots is expected to increase substantially.
In the defense industry, autonomous surveillance robots represent the largest subsegment in the AMR market. These robots are widely used for surveillance, reconnaissance, and patrolling missions in challenging and hazardous environments. With advancements in AI and machine learning, these robots are capable of autonomously identifying threats, tracking movements, and relaying critical information back to command centers. They are becoming an indispensable tool in modern military operations due to their ability to operate in high-risk areas without putting human soldiers in harm's way.
The growing focus on national security, counter-terrorism measures, and border protection has fueled the demand for autonomous surveillance systems. These robots are being adopted not only by military forces but also by law enforcement agencies for crowd control and disaster response efforts. As technology continues to evolve, the role of autonomous surveillance robots in defense is expected to expand significantly.
Asia Pacific is the fastest-growing region in the Autonomous Mobile Robots market, with a CAGR of 24.3% from 2024 to 2030. The region's growth is fueled by the rapid expansion of e-commerce and manufacturing industries, particularly in countries like China, Japan, and South Korea. The rise of Industry 4.0 in Asia, along with the increasing adoption of robotics in logistics, healthcare, and manufacturing, is driving the demand for AMRs in this region.
China, as the world’s largest manufacturer, is leading the charge with significant investments in automation to enhance production efficiency and reduce reliance on manual labor. Additionally, the booming e-commerce industry in Asia Pacific, led by giants like Alibaba and JD.com, is further accelerating the need for advanced robotic solutions to manage large-scale distribution networks. The region's focus on innovation and technological advancement positions it as a key growth driver in the global AMR market.
The competitive landscape of the Autonomous Mobile Robots market is marked by the presence of several key players, each focusing on innovation and strategic partnerships to maintain their market position. The top 10 companies dominating the AMR market include:
These companies are continuously investing in research and development to enhance the capabilities of their AMR solutions. Many of them are also expanding their market presence through collaborations with key industry players, including logistics providers, healthcare institutions, and manufacturers. The competition in this market is intensifying, with newer entrants focusing on specialized applications and niche segments, while established players are concentrating on expanding their product portfolios and improving customer service..
The report will help you answer some of the most critical questions in the autonomous mobile robots market. A few of them are as follows:
Report Features |
Description |
Market Size (2023-e) |
USD 1.7 billion |
Forecasted Value (2030) |
USD 5.2 billion |
CAGR (2024 – 2030) |
16.9% |
Base Year for Estimation |
2023 |
Historic Year |
2022 |
Forecast Period |
2024 – 2030 |
Report Coverage |
Market Forecast, Market Dynamics, Competitive Landscape, Recent Developments |
Segments Covered |
Autonomous Mobile Robots Market By Offering (Software & Services, Hardware), By Payload Capacity (<100 kg, 100-500 kg, >500 kg), By Industry (Retail, Manufacturing, E-commerce, Food & Beverage, Healthcare, Logistics) |
Regional Analysis |
North America (US, Canada, Mexico), Europe (Germany, France, UK, Spain, Italy & Rest of Europe), Asia Pacific (China, Japan, South Korea, India, and rest of Asia Pacific), Latin America (Brazil, Argentina, & Rest of Latin America), Middle East & Africa (Saudi Arabia, South Africa, Turkey, United Arab Emirates, & Rest of MEA) |
Customization Scope |
Customization for segments, region/country-level will be provided. Moreover, additional customization can be done based on the requirements |
1.Introduction |
1.1.Market Definition |
1.2.Scope of the Study |
1.3.Research Assumptions |
1.4.Study Limitations |
2.Research Methodology |
2.1.Research Approach |
2.1.1.Top-Down Method |
2.1.2.Bottom-Up Method |
2.1.3.Factor Impact Analysis |
2.2.Insights & Data Collection Process |
2.2.1.Secondary Research |
2.2.2.Primary Research |
2.3.Data Mining Process |
2.3.1.Data Analysis |
2.3.2.Data Validation and Revalidation |
2.3.3.Data Triangulation |
3.Executive Summary |
3.1.Major Markets & Segments |
3.2.Highest Growing Regions and Respective Countries |
3.3.Impact of Growth Drivers & Inhibitors |
3.4.Regulatory Overview by Country |
4.Autonomous Mobile Robots Market, by Offering (Market Size & Forecast: USD Million, 2022 – 2030) |
4.1.Software & Services |
4.2.Hardware |
5.Autonomous Mobile Robots Market, by Payload Capacity (Market Size & Forecast: USD Million, 2022 – 2030) |
5.1.<100 kg |
5.2.100 kg−500 kg |
5.3.>500 kg |
6.Autonomous Mobile Robots Market, by Industry (Market Size & Forecast: USD Million, 2022 – 2030) |
6.1.Retail |
6.2.Manufacturing |
6.3.E-commerce |
6.4.Food & Beverage |
6.5.Logistics |
6.6.Healthcare |
6.7.Others |
7.Regional Analysis (Market Size & Forecast: USD Million, 2022 – 2030) |
7.1.Regional Overview |
7.2.North America |
7.2.1.Regional Trends & Growth Drivers |
7.2.2.Barriers & Challenges |
7.2.3.Opportunities |
7.2.4.Factor Impact Analysis |
7.2.5.Technology Trends |
7.2.6.North America Autonomous Mobile Robots Market, by Offering |
7.2.7.North America Autonomous Mobile Robots Market, by Payload Capacity |
7.2.8.North America Autonomous Mobile Robots Market, by Industry |
*Similar segmentation will be provided at each regional level |
7.3.By Country |
7.3.1.US |
7.3.1.1.US Autonomous Mobile Robots Market, by Offering |
7.3.1.2.US Autonomous Mobile Robots Market, by Payload Capacity |
7.3.1.3.US Autonomous Mobile Robots Market, by Industry |
7.3.2.Canada |
7.3.3.Mexico |
*Similar segmentation will be provided at each country level |
7.4.Europe |
7.5.APAC |
7.6.Latin America |
7.7.Middle East & Africa |
8.Competitive Landscape |
8.1.Overview of the Key Players |
8.2.Competitive Ecosystem |
8.2.1.Platform Manufacturers |
8.2.2.Subsystem Manufacturers |
8.2.3.Service Providers |
8.2.4.Software Providers |
8.3.Company Share Analysis |
8.4.Company Benchmarking Matrix |
8.4.1.Strategic Overview |
8.4.2.Product Innovations |
8.5.Start-up Ecosystem |
8.6.Strategic Competitive Insights/ Customer Imperatives |
8.7.ESG Matrix/ Sustainability Matrix |
8.8.Manufacturing Network |
8.8.1.Locations |
8.8.2.Supply Chain and Logistics |
8.8.3.Product Flexibility/Customization |
8.8.4.Digital Transformation and Connectivity |
8.8.5.Environmental and Regulatory Compliance |
8.9.Technology Readiness Level Matrix |
8.10.Technology Maturity Curve |
8.11.Buying Criteria |
9.Company Profiles |
9.1.ABB |
9.1.1.Company Overview |
9.1.2.Company Financials |
9.1.3.Product/Service Portfolio |
9.1.4.Recent Developments |
9.1.5.IMR Analysis |
*Similar information will be provided for other companies |
9.2.Fetch Robotics |
9.3.Mobile Industrial Robots |
9.4.Omron Automation |
9.5.OTTO Motors |
9.6.Fanuc Corporation |
9.7.Samsung |
9.8.Boston Dynamics |
9.9.Scallog |
9.10.Blue Frog Robotics |
10.Appendix |
A comprehensive market research approach was employed to gather and analyze data on the autonomous mobile robots market. In the process, the analysis was also done to estimate the parent market and relevant adjacencies to measure the impact of them on the autonomous mobile robots market. The research methodology encompassed both secondary and primary research techniques, ensuring the accuracy and credibility of the findings.
Secondary research involved a thorough review of pertinent industry reports, journals, articles, and publications. Additionally, annual reports, press releases, and investor presentations of industry players were scrutinized to gain insights into their market positioning and strategies.
Primary research involved conducting in-depth interviews with industry experts, stakeholders, and market participants across the autonomous mobile robots ecosystem. The primary research objectives included:
A combination of top-down and bottom-up approaches was utilized to estimate the overall size of the autonomous mobile robots market. These methods were also employed to estimate the size of various subsegments within the market. The market size estimation methodology encompassed the following steps:
To ensure the accuracy and reliability of the market size estimates, data triangulation was implemented. This involved cross-referencing data from various sources, including demand and supply side factors, market trends, and expert opinions. Additionally, top-down and bottom-up approaches were employed to validate the market size estimates.