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.
| Report Attribute | Specifications |
| Market size value in 2024 | USD 4.0 Billion |
| Revenue forecast in 2034 | USD 16.7 Billion |
| Growth rate CAGR | CAGR of 15.5% from 2025 to 2034 |
| Quantitative units | Representation of revenue in US$ Bn, and CAGR from 2025 to 2034 |
| Historic Year | 2021 to 2024 |
| Forecast Year | 2025-2034 |
| Report coverage | The forecast of revenue, the position of the company, the competitive market statistics, growth prospects, and trends |
| Segments covered | Components, Type, End-Use, And Battery |
| Regional scope | North America; Europe; Asia Pacific; Latin America; Middle East & Africa |
| 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 |
| Competitive Landscape | ABB; Bleum; Boston Dynamics; Clearpath Robotics, Inc.; GreyOrange; Harvest Automation; IAM Robotics; inVia Robotics, Inc.; KUKA AG; and Teradyne Inc. |
| Customization scope | Free customization report with the procurement of the report, Modifications to the regional and segment scope. Particular Geographic competitive landscape. |
| Pricing and available payment methods | Explore pricing alternatives that are customized to your particular study requirements. |
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-
This study employed a multi-step, mixed-method research approach that integrates:
This approach ensures a balanced and validated understanding of both macro- and micro-level market factors influencing the market.
Secondary research for this study involved the collection, review, and analysis of publicly available and paid data sources to build the initial fact base, understand historical market behaviour, identify data gaps, and refine the hypotheses for primary research.
Secondary data for the market study was gathered from multiple credible sources, including:
These sources were used to compile historical data, market volumes/prices, industry trends, technological developments, and competitive insights.
Primary research was conducted to validate secondary data, understand real-time market dynamics, capture price points and adoption trends, and verify the assumptions used in the market modelling.
Primary interviews for this study involved:
Interviews were conducted via:
Primary insights were incorporated into demand modelling, pricing analysis, technology evaluation, and market share estimation.
All collected data were processed and normalized to ensure consistency and comparability across regions and time frames.
The data validation process included:
This ensured that the dataset used for modelling was clean, robust, and reliable.
The bottom-up approach involved aggregating segment-level data, such as:
This method was primarily used when detailed micro-level market data were available.
The top-down approach used macro-level indicators:
This approach was used for segments where granular data were limited or inconsistent.
To ensure accuracy, a triangulated hybrid model was used. This included:
This multi-angle validation yielded the final market size.
Market forecasts were developed using a combination of time-series modelling, adoption curve analysis, and driver-based forecasting tools.
Given inherent uncertainties, three scenarios were constructed:
Sensitivity testing was conducted on key variables, including pricing, demand elasticity, and regional adoption.