GVR Report cover Autonomous Mobile Robots Market (2026 - 2033)Report

Autonomous Mobile Robots Market (2026 - 2033)

Size, Share & Trends Analysis Report By Component (Hardware, Software), By Type (Goods-To-Person Picking Robots, UAV), By Battery Type, By Application, By Payload Capacity, By Navigation Technology, By End-use, By Region, And Segment Forecasts

Market Size, 2025

$4.7B

Market Estimate, 2026

$5.5B

Market Forecast, 2033

$14.0B

CAGR, 2026–2033

14.4%

Autonomous Mobile Robots Market Summary

The global autonomous mobile robots market was valued at USD 4.7 billion in 2025 and is projected to grow from USD 5.5 billion in 2026 to USD 14.0 billion by 2033, at 14.4% CAGR from 2026 to 2033. Asia Pacific dominated the market, with a revenue share of 30.1% in 2025. Consistently growing demand for automated warehouse management supported by e-commerce and omnichannel retail is promoting the demand for autonomous mobile robots. Additionally, the growing use of drones and UAVs across aerospace and defense applications is further encouraging the market growth.

Autonomous mobile robots market overview highlighting global market size in 2025 (USD 4.74 Billion), revenue forecast for 2033 (USD 14.04 Billion), growth trends (CAGR 14.4% from 2026 to 2033), and regional growth momentumSource: Grand View Research, IR Documents, Primary Interviews, Paid Databases

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Key Market Trends & Insights

  • By component: Hardware segment held the largest market share of 67.7% in 2025.
  • By type: Goods-to-person picking robots segment held the largest market share of 48.3% in 2025.
  • By battery type: Lead battery segment held the largest market share of 48.9% in 2025.
  • By application: Assembly segment held the largest market share of over 30.0% in 2025.
  • By payload capacity: 100 kg to 500 kg segment held the largest revenue share of over 55.0% in 2025.
  • By navigation technology: Laser guidance segment held the largest market share of over 35.0% in 2025.
  • By end use: Manufacturing segment held the largest market share of 76.6% in 2025.

Regional Highlights

  • Largest regional market: Asia Pacific (30.1% revenue share, 2025)
  • Fastest-growing regional market: Asia Pacific (highest CAGR, 2026-2033)

Market Size & Forecast

  • Market size in 2025: USD 4.7 Billion
  • Estimated market size in 2026: USD 5.5 Billion
  • Projected market size by 2033: USD 14.0 Billion
  • CAGR (2026-2033): 14.4%
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Advancements in artificial intelligence, machine learning, computer vision, and sensor technologies are enhancing the navigation, autonomy, flexibility, and real-time decision-making capabilities of autonomous mobile robots (AMRs). At the same time, rising labor shortages, increasing labor costs, and growing emphasis on workplace safety are accelerating automation investments across manufacturing, logistics, healthcare, and other industrial environments. The rapid expansion of e-commerce and omnichannel fulfillment is further increasing demand for flexible and scalable AMR solutions in warehouses and distribution centers, where they can improve material movement, throughput, and operational efficiency.

Autonomous mobile robots market size and growth forecast (2023-2033)

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The growing adoption of flexible manufacturing is creating additional opportunities for AMRs by enabling manufacturers to adapt material handling processes to changing production requirements. AMRs support just-in-time material delivery, line-side replenishment, and dynamic workflow management while requiring less fixed infrastructure than conventional automation systems. Their ability to operate across reconfigurable production layouts makes them suitable for facilities managing shorter production runs, product customization, and fluctuating demand. Furthermore, the integration of advanced collision avoidance and safety technologies is improving workplace safety by reducing risks associated with manual material handling and forklift operations. These capabilities can also support regulatory compliance, reduce operational disruptions, and maintain consistent material flow during labor shortages, strengthening the role of AMRs in smart manufacturing and logistics environments.

Market Dynamics

The autonomous mobile robots (AMRs) market is driven by labor shortages, rising labor costs, and increasing demand for flexible automation across manufacturing, logistics, warehousing, and e-commerce. AMRs automate repetitive material-handling tasks, improve operational efficiency, and support workplace safety. The expansion of e-commerce and advancements in artificial intelligence (AI), LiDAR, computer vision, and sensor technologies are further enhancing AMR capabilities and adoption. High upfront investment and integration costs remain key restraints, particularly for small and medium-sized enterprises. Expenses related to robotic hardware, software, charging infrastructure, system integration, and workforce training can increase deployment costs. Compatibility with existing warehouse and manufacturing systems can also create implementation challenges. Significant opportunities are emerging from integrating AMRs with AI, cloud platforms, digital twins, and advanced fleet management systems. These technologies enable dynamic route optimization, intelligent task allocation, predictive maintenance, and coordinated multi-robot operations. Expanding AMR applications across healthcare, retail, and other industrial environments is expected to further broaden market opportunities.

Labor shortages and rising labor costs are emerging as key drivers of the autonomous mobile robots (AMRs) market, particularly across manufacturing, logistics, warehousing, and e-commerce operations. Companies are increasingly deploying AMRs to automate repetitive material movement, picking, transportation, and replenishment tasks, reducing reliance on manual labor while maintaining consistent operational throughput. Unlike conventional fixed automation systems, AMRs can navigate dynamic environments using sensors, cameras, LiDAR, and artificial intelligence (AI), enabling them to adapt to changing warehouse layouts and production workflows without extensive infrastructure modifications. This flexibility makes AMRs particularly valuable in facilities facing persistent workforce constraints or high employee turnover.

Real-world deployments demonstrate the growing role of AMRs in addressing these challenges. For instance, Amazon uses autonomous mobile robots across its fulfillment centers to transport inventory and workstations, helping employees handle orders more efficiently. Similarly, Walmart has deployed autonomous robots in distribution and fulfillment operations to support inventory movement and warehouse automation. In manufacturing, companies are also adopting AMRs for line-side material delivery and component transportation, reducing the time workers spend on non-value-added movement activities. As labor availability remains a challenge in several industrial markets and demand for faster order fulfillment increases, AMRs are expected to become an increasingly important component of automated material-handling strategies.

High initial investment and integration costs represent a significant restraint for the autonomous mobile robots (AMRs) market, particularly for small and medium-sized enterprises (SMEs). Although AMRs can reduce labor requirements and improve operational efficiency over the long term, their deployment requires substantial upfront spending on robots, sensors, navigation systems, fleet management software, charging infrastructure, and system integration. Additional costs may arise from modifying warehouse layouts, integrating AMRs with warehouse management systems (WMS) and enterprise resource planning (ERP) platforms, and training employees to operate and maintain automated systems. These expenses can extend the payback period and discourage adoption among companies with limited capital budgets.

The complexity of integrating AMRs into existing facilities can further increase implementation costs. For instance, warehouses with narrow aisles, frequently changing layouts, or legacy material-handling systems may require significant process redesign before AMRs can be deployed effectively. Companies such as Amazon and other large e-commerce and logistics operators can absorb these investments due to their high-volume operations and economies of scale. In contrast, smaller warehouses may find it difficult to justify AMR investments when labor costs are relatively low or material-handling volumes are limited. Consequently, high capital requirements and integration complexity may slow AMR adoption, particularly among cost-sensitive end users and smaller industrial facilities.

The integration of artificial intelligence (AI), machine learning, computer vision, and digital twin technologies presents significant growth opportunities for the autonomous mobile robots (AMRs) market. Advanced technologies enable AMRs to interpret complex environments, optimize navigation routes, predict operational requirements, and dynamically coordinate tasks across warehouses and manufacturing facilities. Integration with warehouse management systems (WMS), manufacturing execution systems (MES), and enterprise resource planning (ERP) platforms can further enable real-time allocation of robotic tasks based on inventory levels, production schedules, and order priorities. This allows AMRs to move beyond basic transportation and support increasingly complex workflows such as picking, sorting, replenishment, and line-side delivery.

Real-world deployments demonstrate the potential of these technologies. For instance, BMW has incorporated autonomous mobile robots into manufacturing operations to transport components and support flexible production processes. Similarly, Amazon continues to integrate robotics, AI, and advanced fulfillment technologies to coordinate inventory movement and improve warehouse productivity. Digital twins can further enable manufacturers and logistics operators to simulate warehouse layouts and robotic workflows before deployment, helping identify bottlenecks and optimize fleet performance. As businesses increasingly pursue smart factories and highly automated fulfillment centers, the convergence of AMRs with AI and connected industrial systems is expected to create new applications and expand the addressable market for AMR solutions.

Analyst Perspective

The autonomous mobile robots (AMRs) market is transitioning from a niche warehouse-automation solution into a broader platform for flexible industrial automation. The market is being supported by the rapid expansion of e-commerce, labor shortages, increasing fulfillment expectations, and the need for scalable material-handling systems. A notable shift is the integration of AMRs with artificial intelligence (AI), computer vision, and fleet-management platforms, enabling robots to navigate dynamic environments and coordinate tasks more efficiently. Amazon provides a strong real-world example, having deployed more than one million robots across its operations network and introducing AI technologies such as DeepFleet to improve robot fleet efficiency. The next phase of market development is expected to involve broader adoption across manufacturing, healthcare, retail, and other industrial environments, alongside increasing demand for collaborative and multi-purpose robotic systems.

Component Insights

The hardware segment accounted for the largest revenue share of 67.7% in 2025, driven by the rapid expansion of autonomous mobile robot deployments across warehouses, manufacturing facilities, and logistics centers. Increasing demand for essential components, including robotic platforms, LiDAR, cameras, sensors, controllers, and onboard computing systems, is driving investment in AMR hardware. Advancements in sensing technologies and edge computing are further improving navigation accuracy, system reliability, and real-time responsiveness. In addition, enterprises are seeking robust and scalable hardware capable of handling higher payloads, extended operating hours, and demanding industrial conditions. As AMR deployments continue to expand across industries and geographies, investments in advanced robotic hardware are expected to remain a key contributor to market growth.

The software segment is expected to grow at the fastest CAGR of 16.6% during the forecast period. The segment’s growth is driven by rising demand for intelligent navigation, fleet management, and real-time decision-making capabilities. Advances in artificial intelligence (AI), machine learning, and cloud-based technologies are enhancing AMR autonomy, coordination, and operational efficiency. Enterprises are increasingly adopting software solutions to optimize robot utilization, coordinate large fleets, and scale automation across complex operating environments. Software platforms also facilitate faster deployment, remote updates, and adaptation to changing workflows without requiring major hardware modifications. As organizations increasingly shift toward software-driven automation strategies, advanced AMR software is expected to play a growing role in improving fleet performance and supporting the long-term expansion of the market.

Type Insights

The goods-to-person picking robots segment dominated the autonomous mobile robots industry, accounting for a revenue share of 48.3% in 2025, driven by the rapid expansion of e-commerce and the growing need for faster and more efficient order fulfillment. These robots improve picking accuracy and throughput by transporting items directly to workers, thereby reducing travel time and physical workload. The increasing pressure to shorten delivery times and manage higher order volumes is accelerating their adoption across warehouses and distribution centers. In addition, goods-to-person systems enable efficient use of warehouse space and offer scalability, making them particularly suitable for high-density fulfillment operations. As retailers and logistics providers continue to prioritize productivity, operational efficiency, and faster fulfillment, demand for goods-to-person picking robots is expected to remain strong, supporting the segment's position as a key contributor to the market.

The unmanned aerial vehicles (UAVs) segment is expected to grow at the fastest CAGR of 24.8% during the forecast period, supported by increasing demand for fast, flexible, and autonomous solutions across logistics, surveillance, inspection, and monitoring applications. Advancements in navigation, imaging, sensing, and communication technologies are improving UAV performance, reliability, and operational capabilities. Organizations are increasingly deploying UAVs to automate routine tasks, reduce manual intervention, and access remote or difficult-to-reach locations. In addition, supportive regulatory developments and rising investments in autonomous technologies are encouraging adoption across various industries. As enterprises seek scalable and cost-efficient solutions for applications requiring mobility and remote operation, UAVs are expected to gain increasing traction within the broader autonomous systems market. Also, the dynamic nature of the global conflict is encouraging countries to procure more UAVs for surveillance, defense, and attack in war situations. For instance, in August 2026, The India’s Ministry of Defense signed a USD 165 million deal with Tata Advanced Systems and NIBE for loitering-munition systems and 840 munitions for the Indian Army. Such developments are further boosting the segment’s growth.

Battery Type Insights

The lead-acid battery segment accounted for the largest revenue share of 48.9% in 2025, supported by the widespread use of AMRs in cost-sensitive industrial applications. The relatively low upfront cost, established supply chain, and reliable power delivery of lead-acid batteries make them suitable for businesses seeking cost-effective automation solutions. These batteries provide stable power output and dependable performance under varying operating conditions, supporting the consistent operation of AMRs in warehouses, manufacturing facilities, and logistics environments. In addition, their established technology and relatively simple maintenance requirements make lead-acid batteries an accessible option for organizations with existing battery-handling infrastructure. Their lower initial investment compared with alternative battery technologies further supports adoption among end users seeking to control capital expenditure while improving material-handling efficiency.

The lithium-ion battery segment is expected to grow at the fastest CAGR of 18.5% during the forecast period, driven by increasing demand for high-energy-density, fast-charging, and long-lasting power solutions for AMRs. Lithium-ion batteries enable longer operating periods and shorter charging times, helping reduce downtime and improve robot utilization. Declining battery costs and advancements in safety and battery management technologies are further supporting their adoption across warehouses, manufacturing facilities, and logistics centers. In addition, compatibility with opportunity charging allows AMRs to recharge during short operational breaks without requiring lengthy charging cycles. As organizations deploy larger AMR fleets and seek continuous, high-efficiency operations, lithium-ion batteries are expected to become increasingly important to the performance and scalability of autonomous mobile robot systems.

Application Insights

The assembly segment dominated the autonomous mobile robots market, accounting for a revenue share of more than 30.0% in 2025, supported by the increasing adoption of automation and the need for efficient, flexible production environments. Manufacturers are increasingly deploying autonomous mobile robots (AMRs) for line-side material delivery, component transportation, and inventory replenishment, helping streamline assembly operations and improve productivity. AMRs facilitate just-in-time material delivery, reducing production delays, minimizing excess inventory, and maintaining a consistent flow of components across manufacturing facilities. Their ability to navigate dynamic environments and operate within flexible production layouts also enables manufacturers to adapt material-handling processes to changing production schedules and product requirements. As manufacturers continue to prioritize operational efficiency, production flexibility, and scalable automation, demand for AMRs in assembly applications is expected to remain strong.

The sorting segment is expected to experience the fastest growth at a CAGR of more than 15.0% during the forecast period, driven by the growing need for faster, more accurate order processing across warehouses and distribution centers. The continued expansion of e-commerce and omnichannel retail is generating higher, more variable order volumes, thereby increasing demand for flexible and scalable sorting solutions. AMR-based sorting systems can automate the movement and routing of goods, helping improve throughput, reduce handling errors, and lower reliance on manual labor. Their ability to adapt to changing workflows and warehouse configurations further supports deployment in dynamic fulfillment environments. As logistics operators seek to improve processing speed, operational efficiency, and flexibility, the adoption of AMR-based sorting solutions is expected to increase during the forecast period.

Payload Capacity Insights

The 100 kg to 500 kg segment accounted for the largest revenue share of over 55.0% in 2025, supported by its broad applicability across warehouse, manufacturing, and logistics operations. AMRs within this payload range are well-suited for material transportation, inventory replenishment, and order fulfillment tasks while maintaining maneuverability in space-constrained environments. The continued expansion of e-commerce, automated warehouses, and industrial facilities is increasing demand for these robots, particularly for repetitive material-handling applications. Their relatively compact design, flexible deployment, and compatibility with existing workflows enable organizations to expand automation without extensive infrastructure modifications. In addition, the ability to integrate these AMRs with warehouse and manufacturing management systems supports efficient material flow and scalable operations. As businesses continue to automate routine material-handling activities, demand for AMRs in the 100 kg to 500 kg payload range is expected to remain strong.

The more than 500 kg segment is expected to grow at the fastest CAGR of 18.5% during the forecast period, driven by increasing demand for heavy-duty material handling and high-payload transportation across industrial and logistics environments. These AMRs are increasingly used to transport pallets, large components, machinery, and bulk materials within manufacturing facilities, warehouses, and distribution centers. The expansion of automotive manufacturing, heavy industries, and large-scale warehousing operations is creating additional demand for high-capacity autonomous robots. By automating the movement of heavy loads, these systems can reduce manual handling requirements, improve workplace safety, and support consistent material flow. Their ability to operate continuously and navigate complex industrial environments further enhances their value for large-scale automation. As manufacturers and logistics operators expand automation across demanding material-handling applications, adoption of high-payload AMRs is expected to increase during the forecast period.

Navigation Technology Insights

The laser guidance segment accounted for the largest revenue share, exceeding 35.0% in 2025, supported by its high navigation accuracy, reliability, and proven performance in structured industrial environments. Laser-guided AMRs use laser-based sensing to identify surroundings and determine precise positions, enabling stable and predictable movement across warehouses, manufacturing facilities, and logistics centers. Their ability to follow defined routes with high positioning accuracy makes them suitable for applications requiring consistent material transportation and repeatable workflows. In addition, laser guidance can support coordinated fleet operations and reduce navigation-related errors, thereby improving productivity and operational reliability. As industries continue to prioritize automation, precision, and uninterrupted material flow, laser-guided AMRs are expected to maintain strong adoption across structured industrial environments.

The natural navigation segment is expected to grow at the fastest CAGR of over 18.0% during the forecast period, driven by increasing demand for flexible automation that requires minimal fixed infrastructure. Natural navigation enables AMRs to use onboard sensors, cameras, LiDAR, and artificial intelligence (AI) to map and interpret their surroundings without relying extensively on fixed markers, magnetic strips, or reflectors. This reduces installation requirements and allows robots to be deployed more quickly and adapted to changing facility layouts. The technology is particularly suited to dynamic environments, including e-commerce warehouses, fulfillment centers, and facilities where humans and robots work alongside each other. As organizations seek scalable automation solutions that can adapt to evolving workflows and operating conditions, natural navigation is expected to gain increasing traction in the autonomous mobile robots market.

End-use Insights

The manufacturing segment dominated the autonomous mobile robots industry, accounting for a revenue share of 76.6% in 2025, supported by the increasing adoption of autonomous mobile robots (AMRs) across production facilities to streamline internal logistics and material-handling operations. Manufacturers are increasingly deploying AMRs to reduce reliance on manual labor while improving productivity, throughput, and operational consistency. Their flexible and scalable design enables integration into existing production environments and supports a wide range of applications across both small- and large-scale manufacturing facilities. AMRs can also improve workplace safety by automating repetitive, physically demanding, and potentially hazardous material-handling tasks, thereby reducing worker exposure to operational risks. Furthermore, advancements in navigation, artificial intelligence (AI), sensing, and system reliability are enhancing AMR performance and expanding their applications across manufacturing workflows. As manufacturers continue to pursue flexible, data-driven automation, AMRs are becoming increasingly important in modern production and internal logistics operations.

Autonomous Mobile Robots Market Share

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The wholesale and distribution segment is expected to grow at the fastest CAGR of 16.9% during the forecast period, driven by rising demand for efficient, scalable, and reliable material-handling automation. Distribution centers are increasingly adopting AMRs to automate the transportation, sorting, and movement of goods while managing growing order volumes and increasingly complex fulfillment requirements. Improvements in battery technology, energy efficiency, and charging capabilities are enabling longer operating cycles and reducing downtime, supporting continuous warehouse operations. AMRs can also be deployed flexibly to accommodate changing workflows and demand fluctuations, making them suitable for high-volume distribution environments. As wholesale and distribution networks expand and businesses prioritize faster order processing and improved operational efficiency, investments in AMR-based automation are expected to increase during the forecast period.

Regional Insights

The Asia Pacific autonomous mobile robots (AMRs) market accounted for the largest revenue share of 30.1% in 2025, supported by rapid industrialization, expanding manufacturing activities, and increasing investments in automation. Countries such as China, India, and Japan are accelerating the adoption of smart manufacturing and digital infrastructure to improve productivity, optimize material-handling processes, and address labor constraints. The rapid expansion of e-commerce across the region is also increasing demand for automated warehousing, order fulfillment, and logistics solutions. In addition, the presence of local robotics manufacturers, expanding technology capabilities, and rising foreign investments are strengthening the regional AMR ecosystem and supporting innovation and deployment across manufacturing and logistics applications.

Autonomous Mobile Robots Market Trends, by Region, 2026 - 2033

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China’s autonomous mobile robots market accounted for the largest revenue share of 31.5% in 2025. This growth is supported by increasing localization of key components, including controllers, sensors, and navigation systems. Greater domestic production of these components can help reduce dependence on imports, strengthen supply chains, and support the development of cost-competitive AMR solutions. The growing adoption of fleet management and centralized control platforms is also enabling coordinated operation of multiple robots, supporting scalable deployments across large warehouses and manufacturing facilities. In addition, increasing emphasis on workplace safety is encouraging the adoption of AMRs equipped with advanced obstacle detection, navigation, and real-time monitoring capabilities. The integration of AMRs with conveyors, robotic arms, and automated storage and retrieval systems (AS/RS) is further supporting the development of interconnected smart factories and warehouses across China.

North America Autonomous Mobile Robots Market Trends

The North America autonomous mobile robots industry accounted for a significant revenue share of 23.0% in 2025, supported by a well-established robotics ecosystem, advanced digital infrastructure, and the presence of leading AMR developers and technology providers. Strong demand from e-commerce and third-party logistics providers is driving the deployment of AMRs across warehouses and distribution centers for applications such as material transportation, sorting, inventory movement, and order fulfillment. The region’s early adoption of artificial intelligence (AI), machine learning, and software-driven automation is further strengthening demand for intelligent robotic systems. In addition, continued government support and private-sector investments in robotics, AI, and industrial automation are fostering technological innovation and expanding AMR applications across key industries.

The U.S. autonomous mobile robots market is expected to register growth at a significant CAGR of 15.1% during the forecast period, driven by advancements in artificial intelligence, machine learning, computer vision, and sensor technologies. Large fulfillment centers, e-commerce companies, and omnichannel retailers are increasingly deploying AMRs to improve throughput, inventory movement, order accuracy, and fulfillment speed. At the same time, investments from both public and private organizations are supporting the development and adoption of robotic solutions across manufacturing, healthcare, logistics, and other industries. Persistent labor shortages and rising labor costs are further encouraging businesses to automate repetitive material-handling activities. In addition, AMRs can improve workplace safety by reducing worker exposure to physically demanding and potentially hazardous tasks, further supporting their adoption across U.S. industrial and commercial facilities.

Europe Autonomous Mobile Robots Market Trends

The Europe autonomous mobile robots (AMRs) industry is projected to register significant growth of 13.5% during the forecast period, supported by increasing automation across manufacturing, logistics, healthcare, and other industrial sectors. High labor costs, workforce shortages, and stringent workplace safety and regulatory requirements are prompting organizations to adopt robotic solutions to improve operational efficiency and support compliance. Countries such as Germany and France are advancing Industry 4.0 initiatives and investing in smart manufacturing infrastructure, strengthening the integration of robotics, artificial intelligence, and connected production technologies. In addition, government-backed programs supporting industrial digitalization and automation are creating a favorable environment for AMR adoption. The growing need for efficient urban logistics, particularly in space-constrained facilities and distribution environments, is also increasing demand for compact, flexible, and easily deployable AMR systems. As European businesses continue to modernize their operations and address labor and efficiency challenges, AMRs are expected to gain broader adoption across diverse applications.

Key Autonomous Mobile Robots Company Insights

Some key players in the autonomous mobile robot industry include ABB, Daifuku Co., Ltd., KUKA AG, Jungheinrich AG, and Boston Dynamics.

  • ABB is a prominent player in the market, offering AMRs designed for intralogistics, manufacturing, and industrial automation environments. The company leverages its strong portfolio in robotics, drives, and control systems to deliver integrated AMR solutions that seamlessly connect with factory automation platforms. ABB specializes in AI-enabled navigation, fleet management, and flexible material transport across dynamic shop-floor operations. Its solutions are widely adopted in automotive, electronics, and general manufacturing facilities to improve productivity and operational efficiency.

  • Daifuku is a player in material handling and intralogistics automation, with a strong presence in the AMR and AGV market. The company provides advanced mobile robot solutions tailored for warehouses, airports, clean rooms, and large-scale manufacturing facilities. Daifuku specializes in high-throughput automation systems that integrate AMRs with conveyors, sorters, and warehouse management systems. Its expertise lies in delivering reliable, scalable automation for complex, high-volume logistics environments.

Key Autonomous Mobile Robots Companies

The following key companies have been profiled for this study on the autonomous mobile robots market.

Recent Developments

  • In June 2026, NVIDIA announced the launch of the industry’s first full-stack safety system for physical AI and robotics, named Halo. This system is useful for autonomous vehicle safety, robotics, and physical AI by providing the capabilities of sensing, decision-making, and action in the real world within a single, common safety architecture.

  • In December 2025, Chang Robotics partnered with OTTO by Rockwell Automation to advance industrial automation through integrated AMR solutions. The collaboration combines Chang Robotics’ expertise in complex robotic system deployment with OTTO’s autonomous mobile robot technology. This partnership aims to improve productivity, flexibility, and safety across manufacturing, logistics, and e-commerce operations. The initiative reflects growing demand for scalable and customized automation solutions to address labor constraints and operational efficiency challenges.

  • In December 2025, Aptiv partnered with Vecna Robotics to jointly develop next-generation autonomous mobile robots for warehouse and factory automation. The partnership combines Aptiv’s advanced perception, compute, and machine learning capabilities with Vecna Robotics’ autonomy and workflow orchestration technologies. This integration is designed to enhance AMR safety, navigation accuracy, and overall performance in complex, dynamic industrial environments. The collaboration reflects a broader market shift toward intelligent, scalable, and cost-efficient AMR solutions supporting advanced intralogistics operations.

  • In June 2025, ABB expanded its autonomous mobile robot portfolio by enhancing the Flexley Mover with AI-powered 3D Visual SLAM navigation and the AMR Studio programming platform. This upgrade enables infrastructure-free navigation, faster deployment, and improved adaptability across dynamic industrial environments. The solution allows robots to autonomously map facilities and share data across fleets, improving scalability and operational efficiency. This development highlights ABB’s focus on advancing intelligent, flexible, and easy-to-integrate AMR solutions to support modern intralogistics and manufacturing operations. 

Autonomous Mobile Robots Market Report Scope

Report Attribute

Details

Market size in 2025

USD 4.7 billion

Estimated market size in 2026

USD 5.5 billion

Projected market size by 2033

USD 14.0 billion

Growth rate

CAGR of 14.4% from 2026 to 2033

Base year for estimation

2025

Historical data

2021 - 2024

Forecast period

2026 - 2033

Quantitative units

Revenue in USD million/billion and CAGR from 2026 to 2033

Report coverage

Revenue forecast, company market position analysis, competitive landscape, growth factors, and trends

Segments covered

Component, type, battery type, application, payload capacity, end use, navigation technology, region

Regional scope

North America; Europe; Asia Pacific; Latin America; Middle East & Africa

Country scope

U.S.; Canada; Mexico; Germany; UK; France; China; India; Japan; Australia; South Korea; Brazil; UAE; South Africa; Saudi Arabia

Key companies profiled

ABB Ltd.; BALYO SA; Bastian Solutions, LLC; Bleum; Boston Dynamics, Inc.; Clearpath Robotics, Inc.; Crown Equipment Corporation; Daifuku Co., Ltd.; GreyOrange; Harvest Automation, Inc.; Hyster-Yale Materials Handling, Inc.; Onward Robotics (IAM Robotics); inVia Robotics, Inc.; JBT Corporation (John Bean Technologies Corporation); Jungheinrich AG; KUKA AG; Logisnext Europe Oy (Rocla AGV Solutions); Teradyne, Inc.; Third Wave Automation, Inc.; Toyota Material Handling, Inc.; VisionNav Robotics

Customization scope

Free report customization (equivalent to up to 8 analysts working days) with purchase. Addition or alteration to country, regional & segment scope.

Pricing and purchase options

Avail of customized purchase options to meet your exact research needs. Explore purchase options

Global Autonomous Mobile Robots Market Report Segmentation

This report forecasts revenue growth at the global, regional & country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2021 to 2033. For this study, Grand View Research has segmented the global autonomous mobile robots market report based on component, type, battery type, application, payload capacity, end use, navigation technology, and region: 

  • Component Outlook (Revenue, USD Million/Billion, 2021 - 2033)

    • Hardware

    • Software

    • Services

  • Type Outlook (Revenue, USD Million/Billion, 2021 - 2033)

    • Goods-To-Person Picking Robots

    • Self-Driving Forklifts

    • Autonomous Inventory Robots

    • Unmanned Aerial Vehicles

  • Battery Type Outlook (Revenue, USD Million/Billion, 2021 - 2033)

    • Lead Battery

    • Lithium-Ion Battery

    • Nickel-based Battery

    • Others

  • Application Outlook (Revenue, USD Million/Billion, 2021 - 2033)

    • Sorting

    • Transportation

    • Assembly

    • Inventory Management

    • Others

  • Payload Capacity Outlook (Revenue, USD Million/Billion, 2021 - 2033)

    • Below 100 kg

    • 100 kg - 500 kg

    • More than 500 kg

  • End-use Outlook (Revenue, USD Million/Billion, 2021 - 2033)

    • Manufacturing

      • Automotive

      • Aerospace

      • Electronics

      • Chemical

      • Pharmaceuticals

      • Plastics

      • Defense

      • FMCG

      • Others

    • Wholesale & Distribution

      • E-commerce

      • Retail Chains/Conveyance Stores

      • Others

  • Navigation Technology Outlook (Revenue, USD Million/Billion, 2021 - 2033)

    • Laser Guidance

    • Magnetic Guidance

    • Vision Guidance

    • Inductive Guidance

    • Natural Navigation

    • Others

  • Regional Outlook (Revenue, USD Million/Billion, 2021 - 2033)

    • North America

      • U.S.

      • Canada

      • Mexico

    • Europe

      • Germany

      • UK

      • France

    • Asia Pacific

      • China

      • Japan

      • India

      • South Korea

      • Australia

    • Latin America

      • Brazil

    • Middle East and Africa (MEA)

      • UAE

      • KSA

      • South Africa

Frequently Asked Questions About This Report

About the Author(s)

Next Generation Technologies Research Team

Technology · Next Generation Technologies

This report was authored by the next generation technologies research team at Grand View Research - comprising two research analysts, one senior research analyst, and one industry expert - with specialized expertise in the next generation technologies segment of the technology industry. All findings are based on proprietary technology databases, executive interviews, and regulatory analysis, subject to internal peer review prior to publication.

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