Global Autonomous Mobile Robots Market Size is valued at USD 4.0 Bn in 2024 and is predicted to reach USD 16.7 Bn by the year 2034 at a 15.5% CAGR during the forecast period for 2025-2034.
Autonomous robots are a type of autonomous guided vehicle (AGV) that can be installed without any supporting infrastructure such as floor markings, wires, magnets, or precisely situated laser targets. Due to their distinct operational characteristics and patterns, the demand for autonomous robotics has increased dramatically.
The expanded use of autonomous mobile robots in various industrial sectors, such as the automotive and healthcare industries, and the increased awareness of the benefits of autonomous mobile robots support the demand for autonomous mobile robots. However, expensive setup costs and a lack of internet connectivity coverage are expected to impede the use of autonomous mobile robots.
However, the impact of COVID-19 on the market for autonomous mobile robots is uncertain, and it is expected to remain in effect for several years. The COVID-19 outbreak compelled governments worldwide to implement stringent lockdowns and prohibit the import-export of raw materials for the majority of 2020 and a few months of 2021. Consequently, the availability of crucial components for producing autonomous mobile robot components decreased drastically. Furthermore, the statewide lockdown compelled autonomous mobile robot production facilities to shut down partially or fully. The COVID-19 pandemic has caused delays in activities and projects involving the creation of advanced autonomous mobile robots all over the world.
The autonomous robots market is segmented on the basis of components, type, end-use, and battery. Components segment includes into hardware, software, and services. The type segment includes self-driving forklifts, autonomous inventory robots, goods-to-person picking robots, and unmanned aerial vehicles. By battery type, the market is segmented into lead batteries, lithium-ion batteries, nickel-based batteries, and others. End-use segment includes manufacturing (Automotive, Aerospace, Electronics, Chemical, Pharmaceuticals, Plastics, Defense, FMCG) and wholesale & distribution (E-commerce and Retail Chains/Conveyance Stores).
The hardware category is expected to hold a major share of the global Autonomous Robots Market in 2022. Controllers, actuators, sensors, encoders, brakes, wheels, motors, batteries, and power systems are all included in the hardware segment. Qualcomm, for example, launched the Robotics RB6 Platform in May 2022, a high-end hardware development kit that may serve as the brains for commercial drones, autonomous robots, and delivery robots. It also introduced a brand-new RB5 reference design, which is based on the RB5 platform, which is utilized in millions of devices and includes all of the hardware and sensors required to construct AMRs.
The goods-to-person picking robots segment is projected to extend rapidly in the global Autonomous Robots Market. The high proportion is due to the continuous deployment of autonomous robots to replace paper-based and manual picking systems. To convey items between employees and stations, goods-to-person pickup robots can be programmed to carry carts and follow variable routes. Several robotics businesses, including Bleum, GreyOrange, and IAM Robotics, provide autonomous robotic picking systems that have the potential to increase industrial and warehousing productivity.
Europe's Autonomous Robots Market is expected to register the highest market share in terms of revenue in the near future. This can be due to the rising demand for material handling equipment from the manufacturing industry's incumbents. Process automation in various domains and industry verticals also propels the regional market forward. Over the projection period, the Asia Pacific regional market is expected to increase significantly.
The expanding e-commerce business in Asia Pacific's emerging economies is encouraging the use of autonomous mobile robots for inventory management. The adoption of AMRs is also gaining steam as a result of the severe competition in the e-commerce market, as e-commerce companies aim to differentiate themselves by lowering goods delivery time.
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Report Attribute |
Specifications |
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Market size value in 2024 |
USD 4.0 Billion |
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Revenue forecast in 2034 |
USD 16.7 Billion |
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Growth rate CAGR |
CAGR of 15.5% from 2025 to 2034 |
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Quantitative units |
Representation of revenue in US$ Bn, and CAGR from 2025 to 2034 |
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Historic Year |
2021 to 2024 |
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Forecast Year |
2025-2034 |
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Report coverage |
The forecast of revenue, the position of the company, the competitive market statistics, growth prospects, and trends |
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Segments covered |
Components, Type, End-Use, And Battery |
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Regional scope |
North America; Europe; Asia Pacific; Latin America; Middle East & Africa |
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Country scope |
U.S.; Canada; U.K.; Germany; China; India; Japan; Brazil; Mexico; The UK; France; Italy; Spain; China; Japan; India; South Korea; Southeast Asia; South Korea; Southeast Asia |
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Competitive Landscape |
ABB; Bleum; Boston Dynamics; Clearpath Robotics, Inc.; GreyOrange; Harvest Automation; IAM Robotics; inVia Robotics, Inc.; KUKA AG; and Teradyne Inc. |
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Customization scope |
Free customization report with the procurement of the report, Modifications to the regional and segment scope. Particular Geographic competitive landscape. |
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Pricing and available payment methods |
Explore pricing alternatives that are customized to your particular study requirements. |
Chapter 1. Methodology and Scope
1.1. Research Methodology
1.2. Research Scope & Assumptions
Chapter 2. Executive Summary
Chapter 3. Global Autonomous Mobile Robots Market Snapshot
Chapter 4. Global Autonomous Mobile Robots Market Variables, Trends & Scope
4.1. Market Segmentation & Scope
4.2. Drivers
4.3. Challenges
4.4. Trends
4.5. Investment and Funding Analysis of Metaverse Industry
4.6. Industry Analysis – Porter’s Five Forces Analysis
4.7. COVID-19 Impact on Metaverse Industry
Chapter 5. Market Segmentation 1: By Component Estimates & Trend Analysis
5.1. By Component & Market Share, 2024-2034
5.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2021 to 2034 for the following By Component:
5.2.1. Hardware
5.2.2. Software
5.2.3. Services
Chapter 6. Market Segmentation 2: By Type Estimates & Trend Analysis
6.1. By Component & Market Share, 2024-2034
6.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2021 to 2034 for the following By Type:
6.2.1. Goods-to-Person Picking Robots
6.2.2. Self-Driving Forklifts
6.2.3. Autonomous Inventory Robots
6.2.4. Unmanned Aerial Vehicles
Chapter 7. Market Segmentation 3: By End-Use Estimates & Trend Analysis
7.1. By Component & Market Share, 2024-2034
7.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2021 to 2034 for the following By End-Use:
7.2.1. Manufacturing
7.2.1.1. Automotive
7.2.1.2. Aerospace
7.2.1.3. Electronics
7.2.1.4. Chemical
7.2.1.5. Pharmaceuticals
7.2.1.6. Plastics
7.2.1.7. Defense
7.2.1.8. FMCG
7.2.1.9. Others
7.2.2. Wholesale & Distribution
7.2.2.1. E-commerce
7.2.2.2. Retail Chains/Conveyance Stores
7.2.2.3. Others
Chapter 8. Market Segmentation 4: By Battery Type Estimates & Trend Analysis
8.1. By Component & Market Share, 2024-2034
8.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2021 to 2034 for the following By Battery Type:
8.2.1.1. Lead Battery
8.2.1.2. Lithium-Ion Battery
8.2.1.3. Nickel-based Battery
8.2.1.4. Others
Chapter 9. Autonomous Mobile Robots Market Segmentation 5 : Regional Estimates & Trend Analysis
9.1. North America
9.1.1. North America Autonomous Mobile Robots Market revenue (US$ Million) estimates and forecasts By Component, 2021-2034
9.1.2. North America Autonomous Mobile Robots Market revenue (US$ Million) estimates and forecasts By Type, 2021-2034
9.1.3. North America Autonomous Mobile Robots Market revenue (US$ Million) estimates and forecasts By End-Use, 2021-2034
9.1.4. North America Autonomous Mobile Robots Market revenue (US$ Million) estimates and forecasts By Battery Type, 2021-2034
9.1.5. North America Autonomous Mobile Robots Market revenue (US$ Million) estimates and forecasts by country, 2021-2034
9.1.5.1. U.S.
9.1.5.2. Canada
9.2. Europe
9.2.1. Europe Autonomous Mobile Robots Market revenue (US$ Million) by By Component, 2021-2034
9.2.2. Europe Autonomous Mobile Robots Market revenue (US$ Million) estimates and forecasts By Type, 2021-2034
9.2.3. Europe Autonomous Mobile Robots Market revenue (US$ Million) estimates and forecasts By End-Use , 2021-2034
9.2.4. Europe Autonomous Mobile Robots Market revenue (US$ Million) estimates and forecasts By Form , 2021-2034
9.2.5. Europe Autonomous Mobile Robots Market revenue (US$ Million) by country, 2021-2034
9.2.5.1. Germany
9.2.5.2. Poland
9.2.5.3. France
9.2.5.4. Italy
9.2.5.5. Spain
9.2.5.6. UK
9.2.5.7. Rest of Europe
9.3. Asia Pacific
9.3.1. Asia Pacific Autonomous Mobile Robots Market revenue (US$ Million) by By Component, 2021-2034
9.3.2. Asia Pacific Autonomous Mobile Robots Market revenue (US$ Million) estimates and forecasts By Type, 2021-2034
9.3.3. Asia Pacific Autonomous Mobile Robots Market revenue (US$ Million) estimates and forecasts By End-Use , 2021-2034
9.3.4. Asia Pacific Autonomous Mobile Robots Market revenue (US$ Million) estimates and forecasts By Battery Type, 2021-2034
9.3.5. Asia Pacific Autonomous Mobile Robots Market revenue (US$ Million) by country, 2021-2034
9.3.5.1. China
9.3.5.2. India
9.3.5.3. Japan
9.3.5.4. Australia
9.3.5.5. Rest of Asia Pacific
9.4. Latin America
9.4.1. Latin America Autonomous Mobile Robots Market revenue (US$ Million) by By Component, 2021-2034
9.4.2. Latin America Autonomous Mobile Robots Market revenue (US$ Million) estimates and forecasts By Type, 2021-2034
9.4.3. Latin America Autonomous Mobile Robots Market revenue (US$ Million) estimates and forecasts By End-Use , 2021-2034
9.4.4. Latin America Autonomous Mobile Robots Market revenue (US$ Million) estimates and forecasts By Battery Type, 2021-2034
9.4.5. Latin America Autonomous Mobile Robots Market revenue (US$ Million) by country, (US$ Million) 2021-2034
9.4.5.1. Brazil
9.4.5.2. Rest of Latin America
9.5. Middle East & Africa
9.5.1. Middle East & Africa Autonomous Mobile Robots Market revenue (US$ Million) by By Component, (US$ Million)
9.5.2. Middle East & Africa Autonomous Mobile Robots Market revenue (US$ Million) estimates and forecasts By Type, 2021-2034
9.5.3. Middle East & Africa Autonomous Mobile Robots Market revenue (US$ Million) estimates and forecasts By End-Use , 2021-2034
9.5.4. Middle East & Africa Autonomous Mobile Robots Market revenue (US$ Million) estimates and forecasts By Battery Type, 2021-2034
9.5.5. Middle East & Africa Autonomous Mobile Robots Market revenue (US$ Million) by country, (US$ Million) 2021-2034
9.5.5.1. South Africa
9.5.5.2. GCC Countries
9.5.5.3. Rest of MEA
Chapter 10. Competitive Landscape
10.1. Major Mergers and Acquisitions/Strategic Alliances
10.2. Company Profiles
10.2.1. ABB
10.2.2. Bleum
10.2.3. Boston Dynamics
10.2.4. Clearpath Robotics, Inc.
10.2.5. GreyOrange
10.2.6. Harvest Automation
10.2.7. IAM Robotics
10.2.8. inVia Robotics, Inc.
10.2.9. KUKA AG
10.2.10. Teradyne Inc.
Autonomous Mobile Robots Market By Component-
Autonomous Mobile Robots Market By Type-
Autonomous Mobile Robots Market By Battery-
Autonomous Mobile Robots Market By End-use-
By Region-
North America-
Europe-
Asia-Pacific-
Latin America-
Middle East & Africa-
InsightAce Analytic follows a standard and comprehensive market research methodology focused on offering the most accurate and precise market insights. The methods followed for all our market research studies include three significant steps – primary research, secondary research, and data modeling and analysis - to derive the current market size and forecast it over the forecast period. In this study, these three steps were used iteratively to generate valid data points (minimum deviation), which were cross-validated through multiple approaches mentioned below in the data modeling section.
Through secondary research methods, information on the market under study, its peer, and the parent market was collected. This information was then entered into data models. The resulted data points and insights were then validated by primary participants.
Based on additional insights from these primary participants, more directional efforts were put into doing secondary research and optimize data models. This process was repeated till all data models used in the study produced similar results (with minimum deviation). This way, this iterative process was able to generate the most accurate market numbers and qualitative insights.
Secondary research
The secondary research sources that are typically mentioned to include, but are not limited to:
The paid sources for secondary research like Factiva, OneSource, Hoovers, and Statista
Primary Research:
Primary research involves telephonic interviews, e-mail interactions, as well as face-to-face interviews for each market, category, segment, and subsegment across geographies
The contributors who typically take part in such a course include, but are not limited to:
Data Modeling and Analysis:
In the iterative process (mentioned above), data models received inputs from primary as well as secondary sources. But analysts working on these models were the key. They used their extensive knowledge and experience about industry and topic to make changes and fine-tuning these models as per the product/service under study.
The standard data models used while studying this market were the top-down and bottom-up approaches and the company shares analysis model. However, other methods were also used along with these – which were specific to the industry and product/service under study.
To know more about the research methodology used for this study, kindly contact us/click here.
