Global Autonomous Mobile Robots Market Forecast 2025-2032 

The global autonomous mobile robots market was valued at $5118.31 million in 2024 and is expected to reach $21463.47 million by 2032, growing at a CAGR of 19.12% during the forecast period 2025-2032. The base year considered for the study is 2024, and the estimated period is between 2025 and 2032.

The global autonomous mobile robots (AMR) market focuses on providing automated solutions for material handling, logistics, and intralogistics applications. AMRs use advanced technologies like LiDAR, vision systems, and AI-driven software to navigate through dynamic environments without human intervention.

These robots are crucial in industries such as logistics & e-commerce, manufacturing, healthcare, and retail to improve operational efficiency, reduce human errors, and increase safety. AMR solutions include various systems such as goods-to-person picking robots, self-driving forklifts, and hybrid AMRs.

A key driver of the AMR industry’s growth is the rising demand for warehouse automation, driven by e-commerce expansion and the need for faster order fulfillment. Increasing labor shortages and rising operational costs, particularly in regions like North America and Asia-Pacific, have fueled the adoption of AMRs. As companies aim to streamline their logistics and manufacturing operations, the demand for flexible, scalable, and cost-effective robotic solutions has surged.

However, the market faces challenges, notably high initial investment costs and safety concerns related to human-robot collaboration. Despite these hurdles, companies are adopting innovative business models such as Robotics-as-a-Service (RaaS) to lower entry barriers and offer flexible deployment options.

MARKET INSIGHTS

Key growth enablers of the global autonomous mobile robots market:

Growing need for automation & operational efficiency

The increasing demand for automation across industries such as logistics, manufacturing, healthcare, and retail is a major driver for the global AMR market. Businesses are turning to AMRs to streamline operations, reduce reliance on manual labor, and enhance operational efficiency.

In logistics and warehouse management, the rise of e-commerce has significantly heightened the demand for automated solutions capable of handling high-volume order fulfillment and inventory management.

For example, companies like Amazon have deployed over 750,000 robots in their fulfillment centers, enabling faster package transportation, improved sorting processes, and customized packaging.

Studies indicate that approximately 60% of occupations can automate at least 30% of their tasks, potentially boosting global productivity by 1.5% annually. By adopting AMRs, organizations can double or even triple productivity while reducing labor costs and operational delays.

Technological advancements in AI, sensors, and IoT

Technological innovations in artificial intelligence (AI), sensor technology, and the Internet of Things (IoT) have significantly enhanced the capabilities of autonomous mobile robots.

AMRs are now equipped with advanced sensors such as LiDAR, RADAR, and high-resolution cameras, allowing for precise obstacle detection and real-time navigation in complex environments.

The integration of Visual SLAM (Simultaneous Localization and Mapping) technology enables AMRs to construct detailed maps of their surroundings and adjust routes dynamically.

For instance, ABB Ltd has integrated Visual SLAM into its AMR solutions, improving route optimization and enhancing operational flexibility. Aethon’s TUG robots, equipped with Intel RealSense technology, utilize high-resolution imaging to navigate crowded healthcare environments, ensuring safe and efficient delivery of medical supplies.

Expansion of applications into new sectors

Adoption of flexible business models like Robotics-as-a-Service (RaaS)

Emphasis on safety and human-robot collaboration (Cobots)

Key growth restraining factors of the global autonomous mobile robots market:

Shortage of skilled labor

High initial investment costs

One of the most significant barriers to the widespread adoption of AMRs is the high initial investment required for hardware, software integration, and facility modifications.

Deploying a comprehensive AMR solution can cost upwards of $1 million for a fully equipped warehouse, encompassing advanced sensors, computing systems, and robust software platforms. These costs are particularly prohibitive for small and medium-sized enterprises (SMEs), which may lack the financial resources to invest in large-scale automation.

According to industry reports, 54% of supply chain professionals cite cost and return on investment (ROI) concerns as major obstacles to automation adoption.

Budget constraints and the high costs associated with infrastructure upgrades—such as modifying floor layouts and installing docking stations—further exacerbate the challenge. Although the Robotics-as-a-Service (RaaS) model offers a cost-effective alternative, many businesses still perceive the initial capital expenditure as a significant hurdle.

Safety and security concerns

As AMRs become increasingly integrated into shared workspaces, safety and security have emerged as critical concerns. Although modern AMRs are equipped with advanced sensors and safety protocols to prevent collisions, the risk of accidents remains, particularly in environments where humans and robots operate in close proximity. Amazon’s robotics sites, while showing a 15% reduction in incident rates compared to non-robotic sites, still highlight the importance of stringent safety measures.

Beyond physical safety, cybersecurity vulnerabilities pose significant risks. AMRs connected to enterprise networks can be susceptible to cyberattacks, which could lead to data breaches or operational disruptions. As AMRs often handle sensitive logistical and production data, ensuring secure communication protocols and robust encryption measures is essential.

Global Autonomous Mobile Robots Industry | Top Trends

The integration of Autonomous Mobile Robots (AMRs) with the Internet of Things (IoT) and Artificial Intelligence (AI) has emerged as a transformative trend, revolutionizing industrial automation and operational efficiency. This convergence enables AMRs to perform complex tasks with enhanced precision, adaptability, and real-time responsiveness. By connecting AMRs to IoT platforms and leveraging AI algorithms, companies can achieve comprehensive monitoring, predictive maintenance, and optimized decision-making processes across various industries.

The adoption of collaborative robots (cobots) has significantly increased across industries as they are designed to work alongside human operators, enhancing productivity and safety. These robots are equipped with advanced sensors and AI, enabling them to adapt to dynamic environments and assist with repetitive tasks without the need for safety barriers. Their flexibility and ease of integration into existing workflows have made them particularly popular in sectors like manufacturing, logistics, and healthcare.

Cloud-based fleet management solutions are revolutionizing the way companies manage their robot fleets. These platforms allow businesses to monitor and control multiple robots remotely, ensuring efficient operations, real-time diagnostics, and predictive maintenance. By leveraging the cloud, companies can optimize robot performance, reduce downtime, and scale operations more effectively, all while maintaining lower infrastructure costs and improving overall fleet efficiency.

Hybrid Autonomous Mobile Robots (AMRs) are emerging as a game-changer in logistics and warehouse operations. Combining the benefits of both automated guided vehicles (AGVs) and advanced AMRs, these hybrid robots can navigate complex environments and perform tasks autonomously while maintaining the flexibility to interact with various infrastructures. This development is enhancing operational efficiency, as hybrid AMRs can handle a broader range of functions, from material transport to delivery, in dynamic environments.

SEGMENTATION ANALYSIS

Market Segmentation – Component, Robot Type, Application, and End-User –

Market by Component:

Hardware

Hardware innovations, particularly in sensors and drive systems, are key drivers of the AMR market. High-end LiDAR sensors (costing between $4,000 and $75,000 per unit) provide precise navigation and environmental mapping.

Complementing these are cameras, ultrasonic sensors, and infrared systems that enhance obstacle detection and path planning. In addition, improvements in battery technology and onboard computing units have significantly increased the robots’ performance and durability, making them vital for applications in logistics and manufacturing

Software

Services

Market by End-User:

Automotive

Electronics

Healthcare & Pharmaceuticals

Hospitals use AMRs to transport medical supplies, reducing contamination risks and improving patient care efficiency.

Companies like Omron offer sterilization robots, enhancing hospital hygiene protocols.

Logistics & E-Commerce

In 2024, the logistics & e-commerce segment was the largest end-user category.
AMRs streamline picking, sorting, and inventory management processes to improve order fulfillment speed.

Major e-commerce players like Amazon and Alibaba are extensively deploying AMRs for warehouse automation.

Aerospace & Defense

Fast-Moving Consumer Goods (FMCG)

Other End-Users

Market by Robot Type:

Goods-to-Person Picking Robots

Self-Driving Forklifts

Autonomous Inventory Robots

Unmanned Aerial Vehicles

Market by Application:

Sorting

Pick & Place

Towing

Tugging

Other Applications

REGIONAL ANALYSIS

Geographical Study Based on Four Major Regions

North America: The United States and Canada

North America continues to lead the global autonomous mobile robot (AMR) market, largely driven by the rapid growth of e-commerce and the region’s robust manufacturing sector. The increasing demand for fast, efficient, and cost-effective logistics solutions in e-commerce has significantly boosted the adoption of AMRs, which are deployed to streamline warehouse operations, order fulfillment, and last-mile delivery.

In North America, companies such as Boston Dynamics and Locus Robotics have emerged as key players driving the adoption of AMRs. Boston Dynamics, renowned for its cutting-edge robots like Spot and Stretch, continues to influence industries such as logistics, construction, and security by offering highly adaptable robots that can navigate complex environments.

Locus Robotics, on the other hand, focuses primarily on e-commerce and warehouse automation, offering robots that seamlessly integrate with human workers to enhance productivity and reduce order fulfillment time. Together, these companies are shaping the AMR landscape in North America by providing innovative, scalable solutions that cater to the region’s specific needs in manufacturing and logistics.

Europe: The United Kingdom, Germany, France, Italy, Spain, Belgium, Poland, and Rest of Europe

Asia-Pacific: China, Japan, India, South Korea, Indonesia, Thailand, Vietnam, Australia & New Zealand, and Rest of Asia-Pacific

Rest of World: Latin America, Middle East & Africa

Our market research reports offer an in-depth analysis of individual country-level market size and growth statistics. We cover the segmentation analysis, key growth factors, and macro-economic trends within the autonomous mobile robots market, providing detailed insights into –

United States Autonomous Mobile Robots Market

Japan Autonomous Mobile Robots Market

Germany Autonomous Mobile Robots Market

COMPETITIVE INSIGHTS

Major players in the global autonomous mobile robots market:

ABB Ltd

Boston Dynamics

Locus Robotics Inc

KUKA AG

Omron Corporation

Key strategies adopted by some of these companies:

Boston Dynamics entered a strategic partnership with the Toyota Research Institute in February 2024 to advance robotic mobility, manipulation, and AI capabilities. The collaboration focuses on enhancing AMR adaptability in complex environments, particularly targeting applications in the logistics and manufacturing sectors.

In March 2024, Locus Robotics partnered with GEODIS, a global logistics provider, to deploy next-generation autonomous mobile robots at GEODIS’s fulfillment center in Cuautitlán Izcalli, Mexico. This collaboration marks GEODIS’s first implementation of Locus’s technology in Latin America, aimed at optimizing e-commerce and retail logistics for a leading global apparel brand. The deployment focuses on increasing operational efficiency through multi-level automation and real-time warehouse management capabilities.

ABB Ltd has integrated Visual Simultaneous Localization and Mapping (Visual SLAM) technology into its AMR solutions to enhance navigation, obstacle detection, and route optimization. Visual SLAM enables AMRs to create real-time maps of their environment using cameras and AI-driven algorithms, allowing them to navigate complex industrial settings without pre-installed infrastructure.

Please Note: Report includes PDF + Excel