Autonomous Mobile Robots (AMR) Market by Navigation (Laser/LiDAR, Vision Guidance, SLAM, RFID Tags, Magnetic Sensors, Inertial Sensors), Type (Goods-to-person AMR, Pallet-handling AMR), Payload (<100 kg, 100-500 kg, >500 kg) - Global Forecast to 2032

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USD 7.07 BN
MARKET SIZE, 2032
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CAGR 14.4%
(2026-2032)
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300
REPORT PAGES
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270
MARKET TABLES

OVERVIEW

autonomous-mobile-robots-market Overview

Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis

The global autonomous mobile robots market is projected to grow from USD 2.75 billion in 2026 to USD 7.07 billion by 2032, growing at a CAGR of 14.4%. Growth is driven by rising adoption of AMRs across warehouses, manufacturing plants, and logistics facilities as organizations focus on flexible material movement, labor efficiency, and scalable automation. Increasing e-commerce activity, workforce constraints, and the transition toward smart warehouses are accelerating deployments. Advancements in navigation technologies, fleet coordination software, and system integration are enhancing reliability and throughput, supporting sustained market expansion across major regions.

KEY TAKEAWAYS

  • BY REGION
    North America dominated the autonomous mobile robots market, with a share of 37.3% in 2025.
  • BY PAYLOAD CAPACITY
    By payload, the >500 kg segment is expected to register the highest CAGR of 16.2% during the forecast period.
  • BY INDUSTRY
    The logistics/3PL industry is expected to register the highest CAGR of 16.7%  during the forecast period.
  • COMPETITIVE LANDSCAPE (KEY PLAYERS)
    ABB (Switzerland) and OMRON Corporation (Japan), among others, were identified as star players in the autonomous mobile robots market due to their strong market share and extensive product footprint.
  • COMPETITIVE LANDSCAPE (STARTUPS/SMES)
    GreyOrange (US) and Seegrid (US), among others, have distinguished themselves among startups and SMEs by securing strong footholds in specialized niche areas, underscoring their potential as emerging market leaders in the autonomous mobile robots market.

The autonomous mobile robots market is witnessing steady growth as organizations adopt AMRs to enable flexible material movement across warehouses, manufacturing sites, and distribution centers. Demand is driven by the need for higher throughput, reduced manual handling, and adaptive navigation in dynamic environments. Advances in navigation, fleet orchestration software, and system integration are improving reliability, scalability, and operational efficiency. As companies focus on labor optimization and agile intralogistics, AMRs are becoming a core automation solution across industries. Increased adoption in brownfield facilities and tighter integration with warehouse and manufacturing systems are also improving return on investment and accelerating deployment timelines.

TRENDS & DISRUPTIONS IMPACTING CUSTOMERS' CUSTOMERS

The figure shows the shift from fixed automation to flexible, software-driven AMR platforms used across e-commerce & retail, logistics & 3PL, automotive, chemicals, metals & heavy machinery, food & beverages, healthcare, semiconductor & electronics, and aviation. Key operational imperatives include faster order fulfillment, scalable automation, reliable line supply, safe and precise material movement, and accurate handling. These needs drive AMR adoption to manage higher throughput, SKU complexity, and demand variability. As a result, end customers benefit through faster deliveries, lower fulfillment costs, improved quality compliance, stronger automation returns, safer workplaces, and more resilient operations during peak periods.

autonomous-mobile-robots-market Disruptions

Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis

MARKET DYNAMICS

Drivers
Impact
Level
  • Accelerated progress in robotics and Al
  • Increasing focus on warehouse automation
RESTRAINTS
Impact
Level
  • High upfront implementation costs
OPPORTUNITIES
Impact
Level
  • Rising demand for efficient last-mile delivery services
  • Growing demand for AMRs offering customizable hardware and programmable software
CHALLENGES
Impact
Level
  • Data integration complexities and system compatibility issues

Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis

Driver: Accelerated progress in robotics and Al

Rising requirements for flexible operations, higher throughput, and improved safety are accelerating AMR adoption across e-commerce, logistics and 3PL, manufacturing, and healthcare. Advances in AI-driven navigation and vision systems enable reliable autonomous operation, reduce manual effort, and support consistent material flow in dynamic environments.

Restraint: High upfront implementation costs

AMR deployments require investment in robots, software platforms, integration with existing systems, and facility readiness. For small and mid-sized enterprises, initial costs, along with ongoing software upgrades and maintenance, can delay adoption, particularly where return timelines are closely scrutinized.

Opportunity: Rising demand for efficient last-mile delivery services

Growth in omnichannel fulfillment, same-day delivery expectations, and multi-site warehouse networks is creating strong demand for flexible AMR solutions. Integration with cloud-based WMS, fleet orchestration platforms, and digital twins enables scalable deployments, real-time optimization, and rapid adaptation to changing workflows.

Challenge: Data integration complexities and system compatibility issues

AMR adoption can be constrained by challenges in integrating with legacy WMS, MES, and ERP systems. In cost-sensitive regions with lower labor costs, adoption may progress more gradually despite long-term efficiency and safety benefits.

AUTONOMOUS MOBILE ROBOTS (AMR) MARKET: COMMERCIAL USE CASES ACROSS INDUSTRIES

COMPANY USE CASE DESCRIPTION BENEFITS
Deploys autonomous mobile robots for intralogistics automation in manufacturing plants, warehouses, and distribution centers, supporting pallet transport, line feeding, and internal material movement Improves material flow reliability | Enhances operational safety | Reduces manual handling | Supports scalable automation across high-throughput industrial environments
Provides AMRs for flexible warehouse automation, distribution centers, and manufacturing logistics, enabling picking, replenishment, and internal transport in dynamic layouts Increases picking accuracy | Supports layout flexibility |Lowers operating costs | Enables rapid adaptation to changing workflow requirements
Implements AMR-based solutions for internal logistics, production supply, and warehouse operations across automotive, food & beverage, and industrial manufacturing facilities Enhances space utilization | Supports just-in-time material supply |Improves safety | Ensures stable performance in mixed human-robot environments
Supplies AMRs for goods-to-person picking, sorting, and inventory movement in e-commerce, retail, manufacturing, and logistics facilities Increases order fulfillment speed | Improves throughput scalability | Reduces labor dependency | Supports high-volume operations
Delivers collaborative AMRs for internal transport of pallets, carts, and components in manufacturing, warehouses, and logistics sites Enables fast deployment | Operational flexibility | Efficient material movement with minimal infrastructure changes

Logos and trademarks shown above are the property of their respective owners. Their use here is for informational and illustrative purposes only.

MARKET ECOSYSTEM

The autonomous mobile robots ecosystem includes component suppliers, software and services providers, AMR manufacturers, and end users working together to enable automated intralogistics operations. Component suppliers deliver sensors, controllers, batteries, drives, and safety systems that support reliable autonomous movement. Software and service providers enable navigation, traffic management, fleet coordination, and system integration to ensure stable performance in dynamic environments. AMR manufacturers combine these capabilities to deliver flexible and scalable robots for internal material transport. End users across manufacturing, warehousing, logistics, and retail deploy AMRs to improve material flow efficiency, reduce manual handling, enhance safety, and support consistent, high-throughput operations.

autonomous-mobile-robots-market Ecosystem

Logos and trademarks shown above are the property of their respective owners. Their use here is for informational and illustrative purposes only.

MARKET SEGMENTS

autonomous-mobile-robots-market Segments

Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis

Autonomous Mobile Robots Market, by Payload Capacity

AMRs with a payload capacity of 100–500 kg are expected to hold the largest market share due to their strong balance of load-handling capability, maneuverability, and deployment flexibility. This payload range is widely adopted across warehouses, manufacturing plants, and distribution centers for pallet movement, component transport, line feeding, and order fulfillment. Their suitability for both medium-scale and large-scale operations, along with compatibility with brownfield and greenfield facilities, continues to support broad adoption across industries.

Autonomous Mobile Robots Market, by Industry

The e-commerce & retail industry is expected to account for the largest market share, driven by rising order volumes, shorter delivery timelines, and the need for high throughput fulfillment operations. AMRs are increasingly deployed for picking, sorting, replenishment, and inventory movement within fulfillment centers, supporting scalability while reducing labor dependency and improving operational accuracy in dynamic warehouse environments.

Autonomous Mobile Robots Market, by Navigation Technology

Laser/LiDAR-based navigation technology is expected to hold the largest market share due to its high positioning accuracy, reliability, and effectiveness in complex indoor environments. This technology enables precise mapping, real-time obstacle detection, and flexible route planning without extensive physical infrastructure, making it well-suited for warehouses, manufacturing facilities, and mixed traffic operational settings.

REGION

Asia Pacific to be fastest-growing region in autonomous mobile robots (AMR) market during forecast period

Asia Pacific is expected to be the fastest-growing region in the autonomous mobile robots market, supported by rapid industrialization, expanding manufacturing bases, and rising adoption of warehouse and e-commerce automation across China, Japan, South Korea, and India. Increasing labor costs, workforce shortages, and growing focus on smart factory and Industry 4.0 initiatives are accelerating AMR deployments. Demand is further driven by the need for flexible material movement, scalable fulfillment operations, and higher throughput in manufacturing and logistics facilities, supporting sustained regional growth.

autonomous-mobile-robots-market Region

AUTONOMOUS MOBILE ROBOTS (AMR) MARKET: COMPANY EVALUATION MATRIX

In the autonomous mobile robots market, ABB is positioned as a Star, supported by its strong robotics portfolio, advanced navigation and control technologies, and deep integration capabilities across manufacturing, logistics, and intralogistics operations. Its strength lies in delivering scalable AMR solutions with high reliability, system level integration, and alignment with Industry 4.0 requirements. Jungheinrich AG, identified as an Emerging Leader, is gaining momentum by expanding its AMR offerings beyond traditional intralogistics, with increased focus on software-driven fleet management, interoperability, and flexible deployment models. Continued investment in autonomous navigation, digital platforms, and customer-specific applications is supporting Jungheinrich’s progression toward the leaders’ quadrant.

autonomous-mobile-robots-market Evaluation Metrics

Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis

KEY MARKET PLAYERS

MARKET SCOPE

REPORT METRIC DETAILS
Market Size in 2025 (Value) USD 2.39 Billion
Market Size in 2032 (Value) USD 7.07 Billion
Growth Rate CAGR of 14.4% from 2025–2032
Years Considered 2021–2032
Base Year 2025
Forecast Period 2026–2032
Units Considered Value (USD Billion), Volume (Thousand Units)
Report Coverage Revenue Forecast, Company Ranking, Competitive Landscape, Growth Factors, and Trends
Segments Covered
  • By Payload Capacity:
    • <100 kg
    • 100–500 kg
    • >500 kg
  • By Offering:
    • Hardware
    • Software & Services
  • By Navigation Technology:
    • Laser/LiDAR
    • Vision Guidance
    • Other Navigation Technologies
  • By Industry:
    • E-commerce & Retail
    • Automotive
    • Chemicals
    • Semiconductor & Electronics
    • Aviation
    • Pulp & Paper
    • Pharmaceuticals
    • Food & Beverages
    • Healthcare
    • Logistics/3PL
    • Metals & Heavy Machinery
    • Other Industries (Hospitality
    • Agriculture
    • Printing and Textiles)
Regions Covered North America, Europe, Asia Pacific, and RoW

WHAT IS IN IT FOR YOU: AUTONOMOUS MOBILE ROBOTS (AMR) MARKET REPORT CONTENT GUIDE

autonomous-mobile-robots-market Content Guide

DELIVERED CUSTOMIZATIONS

We have successfully delivered the following deep-dive customizations:

CLIENT REQUEST CUSTOMIZATION DELIVERED VALUE ADDS
AMR Solution Provider
  • Mapping AMR deployments across e-commerce
  • retail
  • manufacturing
  • warehouses
  • healthcare
  • logistics hubs
  • Benchmarking <100 kg
  • 100–500 kg
  • >500 kg AMRs
AMR Hardware Manufacturer
  • Competitive mapping of AMR OEMs
  • drives
  • batteries
  • sensors
  • controllers
  • Benchmarking Laser/LiDAR
  • vision guidance
  • other navigation technologies
Software & Fleet Orchestration Provider Assessment of AMR fleet orchestration, navigation, and control platforms
  • Benchmarking multi-robot coordination
  • AI-based task allocation
  • WMS/MES/ERP integration

RECENT DEVELOPMENTS

  • June 2025 : ABB launched the Flexley Mover P603, an ultra-compact, AI-powered platform autonomous mobile robot designed to handle payloads of up to 1,500 kg for intralogistics and manufacturing applications. The AMR integrates AI-driven Visual SLAM navigation, integrated load sensing, and advanced safety architecture to enable precise, stable, and autonomous operation in dynamic environments without infrastructure changes. Supported by the latest AMR Studio software, the solution simplifies deployment through no-code programming, real-time fleet management, and modular top configurations, reducing commissioning time by up to 20% while enhancing operational flexibility and throughput.
  • March 2025 : Locus Robotics introduced LocusINTELLIGENCE, an AI-driven analytics layer within the LocusONE platform, enabling real-time decision making and continuous fulfillment optimization.

Table of Contents

Exclusive indicates content/data unique to MarketsandMarkets and not available with any competitors.

TITLE
PAGE NO
1
INTRODUCTION
 
 
 
 
15
2
EXECUTIVE SUMMARY
 
 
 
 
 
3
PREMIUM INSIGHTS
 
 
 
 
 
4
MARKET OVERVIEW
Covers the key developments, trend analysis, and actionable insights to support strategic planning and positioning.
 
 
 
 
 
 
4.1
INTRODUCTION
 
 
 
 
 
4.2
MARKET DYNAMICS
 
 
 
 
 
 
4.2.1
DRIVERS
 
 
 
 
 
 
4.2.1.1
ACCELERATED PROGRESS IN ROBOTICS AND ARTIFICIAL INTELLIGENCE
 
 
 
 
 
4.2.1.2
INCREASING FOCUS ON WAREHOUSE AUTOMATION
 
 
 
 
4.2.2
RESTRAINTS
 
 
 
 
 
 
4.2.2.1
HIGH UPFRONT IMPLEMENTATION COSTS
 
 
 
 
 
4.2.2.2
RISING EXPOSURE TO CYBERSECURITY THREATS
 
 
 
 
4.2.3
OPPORTUNITIES
 
 
 
 
 
 
4.2.3.1
RISING DEMAND FOR EFFICIENT LAST-MILE DELIVERY SERVICES
 
 
 
 
 
4.2.3.2
SHIFT TOWARD SMART FACTORIES AND INDUSTRY 4.0
 
 
 
 
4.2.4
CHALLENGES
 
 
 
 
 
 
4.2.4.1
DATA INTEGRATION COMPLEXITIES AND SYSTEM COMPATIBILITY ISSUES
 
 
 
4.3
UNMET NEEDS AND WHITE SPACES
 
 
 
 
 
 
 
4.3.1.1
UNMET NEEDS IN AUTONOMOUS MOBILE ROBOTS
 
 
 
 
 
4.3.1.2
WHITE SPACE OPPORTUNITIES
 
 
 
4.4
INTERCONNECTED MARKETS AND CROSS-SECTOR OPPORTUNITIES
 
 
 
 
 
4.5
STRATEGIC MOVES BY TIER-1/2/3 PLAYERS
 
 
 
 
5
INDUSTRY TRENDS
Provides a snapshot of current market scenario, value chain context, and factors impacting competitive intensity.
 
 
 
 
 
 
5.1
INTRODUCTION
 
 
 
 
 
5.2
PORTER’S FIVE FORCES ANALYSIS
 
 
 
 
 
 
5.2.1
THREAT OF NEW ENTRANTS
 
 
 
 
 
5.2.2
THREAT OF SUBSTITUTES
 
 
 
 
 
5.2.3
BARGAINING POWER OF SUPPLIERS
 
 
 
 
 
5.2.4
BARGAINING POWER OF BUYERS
 
 
 
 
 
5.2.5
INTENSITY OF COMPETITIVE RIVALRY
 
 
 
 
5.3
MACROECONOMIC OUTLOOK
 
 
 
 
 
 
5.3.1
INTRODUCTION
 
 
 
 
 
5.3.2
GDP TRENDS AND FORECAST
 
 
 
 
 
5.3.3
TRENDS IN GLOBAL E-COMMERCE & RETAIL INDUSTRY
 
 
 
 
 
5.3.4
TRENDS IN GLOBAL AUTOMOTIVE INDUSTRY
 
 
 
 
5.4
TRADE ANALYSIS
 
 
 
 
 
 
 
5.4.1
IMPORT SCENARIO (HS CODE 847950)
 
 
 
 
 
5.4.2
EXPORT SCENARIO (HS CODE 847950)
 
 
 
 
5.5
VALUE CHAIN ANALYSIS
 
 
 
 
 
 
5.6
ECOSYSTEM ANALYSIS
 
 
 
 
 
 
5.7
PRICING ANALYSIS
 
 
 
 
 
 
 
5.7.1
PRICING RANGE OF AUTONOMOUS MOBILE ROBOTS WITH DIFFERENT PAYLOAD CAPACITY, BY KEY PLAYER (2025)
 
 
 
 
 
5.7.2
AVERAGE SELLING PRICE TREND OF AUTONOMOUS MOBILE ROBOTS, BY PAYLOAD CAPACITY (2021–2025)
 
 
 
 
 
5.7.3
AVERAGE SELLING PRICE TREND OF AUTONOMOUS MOBILE ROBOTS WITH PAYLOAD CAPACITY OF <100 KG, BY REGION (2021–2025)
 
 
 
 
5.8
KEY CONFERENCES AND EVENTS, 2026–2027
 
 
 
 
 
5.9
TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
 
 
 
 
 
5.10
INVESTMENT AND FUNDING SCENARIO
 
 
 
 
 
5.11
CASE STUDY ANALYSIS
 
 
 
 
 
5.12
IMPACT OF 2025 US TARIFF – AUTONOMOUS MOBILE ROBOTS MARKET
 
 
 
 
 
 
 
5.12.1
INTRODUCTION
 
 
 
 
 
5.12.2
KEY TARIFF RATES
 
 
 
 
 
5.12.3
PRICE IMPACT ANALYSIS
 
 
 
 
 
5.12.4
IMPACT ON COUNTRIES/REGIONS
 
 
 
 
 
5.12.5
IMPACT ON END-USE INDUSTRIES
 
 
 
 
5.13
TECHNOLOGICAL ADVANCEMENTS, AI-DRIVEN IMPACT, PATENTS, AND INNOVATIONS
 
 
 
 
 
5.14
KEY TECHNOLOGIES
 
 
 
 
 
 
5.14.1
SIMULTANEOUS LOCALIZATION AND MAPPING
 
 
 
 
 
5.14.2
LIDAR AND 3D MAPPING
 
 
 
 
5.15
COMPLEMENTARY TECHNOLOGIES
 
 
 
 
 
 
5.15.1
HUMAN-ROBOT INTERACTION
 
 
 
 
 
5.15.2
WIRELESS COMMUNICATION
 
 
 
 
 
5.15.3
INDUSTRY 4.0
 
 
 
 
5.16
TECHNOLOGY ROADMAP
 
 
 
 
 
5.17
PATENT ANALYSIS
 
 
 
 
 
 
5.18
IMPACT OF AI ON AUTONOMOUS MOBILE ROBOTS MARKET
 
 
 
 
 
 
 
5.18.1
TOP USE CASES AND MARKET POTENTIAL
 
 
 
 
 
5.18.2
BEST PRACTICES IN AUTONOMOUS MOBILE ROBOTS MARKET
 
 
 
 
 
5.18.3
CASE STUDIES RELATED TO AI IMPLEMENTATION IN AUTONOMOUS MOBILE ROBOTS MARKET
 
 
 
 
 
5.18.4
INTERCONNECTED/ADJACENT ECOSYSTEM AND IMPACT ON MARKET PLAYERS
 
 
 
 
 
5.18.5
CLIENTS’ READINESS TO ADOPT AI IN AUTONOMOUS MOBILE ROBOTS MARKET
 
 
 
6
REGULATORY LANDSCAPE
 
 
 
 
 
 
6.1
REGIONAL REGULATIONS AND COMPLIANCE
 
 
 
 
 
 
6.1.1
REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
 
 
 
 
 
6.1.2
INDUSTRY STANDARDS
 
 
 
7
CUSTOMER LANDSCAPE AND BUYER BEHAVIOR
 
 
 
 
 
 
7.1
INTRODUCTION
 
 
 
 
 
7.2
DECISION-MAKING PROCESS
 
 
 
 
 
7.3
KEY STAKEHOLDERS INVOLVED IN BUYING PROCESS AND THEIR EVALUATION CRITERIA
 
 
 
 
 
 
7.3.1
KEY STAKEHOLDERS IN BUYING PROCESS
 
 
 
 
 
7.3.2
BUYING CRITERIA
 
 
 
 
7.4
ADOPTION BARRIERS AND INTERNAL CHALLENGES
 
 
 
 
 
7.5
UNMET NEEDS OF VARIOUS VERTICALS
 
 
 
 
8
APPLICATIONS OF AUTONOMOUS MOBILE ROBOTS
 
 
 
 
 
 
8.1
INTRODUCTION
 
 
 
 
 
8.2
SORTING
 
 
 
 
 
8.3
TRANSPORTATION
 
 
 
 
 
8.4
ASSEMBLY
 
 
 
 
 
8.5
INVENTORY MANAGEMENT
 
 
 
 
 
8.6
OTHER APPLICATIONS
 
 
 
 
9
BATTERY TYPES USED IN AUTONOMOUS MOBILE ROBOTS
 
 
 
 
 
 
9.1
INTRODUCTION
 
 
 
 
 
9.2
LEAD-BASED BATTERIES
 
 
 
 
 
9.3
LI-ION BATTERIES
 
 
 
 
 
9.4
NICKEL-BASED BATTERIES
 
 
 
 
 
9.5
SOLID-STATE BATTERIES
 
 
 
 
10
MAJOR TYPES OF AUTONOMOUS MOBILE ROBOTS
 
 
 
 
 
 
10.1
INTRODUCTION
 
 
 
 
 
10.2
GOODS-TO-PERSON ROBOTS
 
 
 
 
 
10.3
PALLET-HANDLING ROBOTS
 
 
 
 
 
10.4
SELF-DRIVING FORKLIFTS
 
 
 
 
 
10.5
AUTONOMOUS INVENTORY ROBOTS
 
 
 
 
11
AUTONOMOUS MOBILE ROBOTS MARKET, BY OFFERING (MARKET SIZE & FORECAST TO 2032 – USD BILLION)
 
 
 
 
 
 
11.1
INTRODUCTION
 
 
 
 
 
11.2
HARDWARE
 
 
 
 
 
 
11.2.1
BATTERIES
 
 
 
 
 
11.2.2
SENSORS
 
 
 
 
 
11.2.3
ACTUATORS
 
 
 
 
 
11.2.4
OTHER HARDWARE COMPONENTS
 
 
 
 
11.3
SOFTWARE & SERVICES
 
 
 
 
12
AUTONOMOUS MOBILE ROBOTS MARKET, BY PAYLOAD CAPACITY (MARKET SIZE, VALUE AND VOLUME & FORECAST TO 2032 – USD BILLION AND THOUSAND UNITS)
 
 
 
 
 
 
12.1
INTRODUCTION
 
 
 
 
 
12.2
<100 KG
 
 
 
 
 
12.3
100−500 KG
 
 
 
 
 
12.4
>500 KG
 
 
 
 
13
AUTONOMOUS MOBILE ROBOTS MARKET, BY NAVIGATION TECHNOLOGY (MARKET SIZE & FORECAST TO 2032 – USD BILLION)
 
 
 
 
 
 
13.1
INTRODUCTION
 
 
 
 
 
13.2
LASER/ LIDAR
 
 
 
 
 
13.3
VISION GUIDANCE
 
 
 
 
 
13.4
OTHER NAVIGATION TECHNOLOGIES (INERTIAL SENSORS, RFID AND MAGNETIC TAGS, FIDUCIALS, AND QR CODE)
 
 
 
 
14
AUTONOMOUS MOBILE ROBOTS MARKET, BY INDUSTRY (MARKET SIZE & FORECAST TO 2032 – USD BILLION)
 
 
 
 
 
 
14.1
INTRODUCTION
 
 
 
 
 
14.2
AUTOMOTIVE
 
 
 
 
 
14.3
CHEMICALS
 
 
 
 
 
14.4
AVIATION
 
 
 
 
 
14.5
SEMICONDUCTOR & ELECTRONICS
 
 
 
 
 
14.6
E-COMMERCE & RETAIL
 
 
 
 
 
14.7
FOOD & BEVERAGES
 
 
 
 
 
14.8
PHARMACEUTICALS
 
 
 
 
 
14.9
HEALTHCARE
 
 
 
 
 
14.10
METALS & HEAVY MACHINERY
 
 
 
 
 
14.11
LOGISTICS/3PL
 
 
 
 
 
14.12
PULP & PAPER
 
 
 
 
 
14.13
OTHER INDUSTRIES (PRINTING, TEXTILES, AGRICULTURE, HOSPITALITY)
 
 
 
 
15
AUTONOMOUS MOBILE ROBOTS MARKET, BY REGION (MARKET SIZE & FORECAST TO 2032 – USD BILLION)
 
 
 
 
 
 
15.1
INTRODUCTION
 
 
 
 
 
15.2
NORTH AMERICA
 
 
 
 
 
 
15.2.1
US
 
 
 
 
 
15.2.2
CANADA
 
 
 
 
 
15.2.3
MEXICO
 
 
 
 
15.3
EUROPE
 
 
 
 
 
 
15.3.1
GERMANY
 
 
 
 
 
15.3.2
UK
 
 
 
 
 
15.3.3
FRANCE
 
 
 
 
 
15.3.4
ITALY
 
 
 
 
 
15.3.5
SPAIN
 
 
 
 
 
15.3.6
REST OF EUROPE
 
 
 
 
15.4
ASIA PACIFIC
 
 
 
 
 
 
15.4.1
CHINA
 
 
 
 
 
15.4.2
JAPAN
 
 
 
 
 
15.4.3
SOUTH KOREA
 
 
 
 
 
15.4.4
INDIA
 
 
 
 
 
15.4.5
REST OF ASIA PACIFIC
 
 
 
 
15.5
ROW
 
 
 
 
 
 
15.5.1
MIDDLE EAST
 
 
 
 
 
 
15.5.1.1
GCC
 
 
 
 
 
15.5.1.2
REST OF MIDDLE EAST
 
 
 
 
15.5.2
AFRICA
 
 
 
 
 
15.5.3
SOUTH AMERICA
 
 
 
16
AUTONOMOUS MOBILE ROBOTS MARKET, COMPETITIVE LANDSCAPE
 
 
 
 
 
 
16.1
INTRODUCTION
 
 
 
 
 
16.2
KEY PLAYER COMPETITIVE STRATEGIES/RIGHT TO WIN
 
 
 
 
 
16.3
REVENUE ANALYSIS, 2021–2025
 
 
 
 
 
 
16.4
MARKET SHARE ANALYSIS,
 
 
 
 
 
 
16.5
COMPANY VALUATION AND FINANCIAL METRICS
 
 
 
 
 
16.6
PRODUCT/BRAND COMPARISON
 
 
 
 
 
 
16.7
COMPANY EVALUATION MATRIX: KEY PLAYERS,
 
 
 
 
 
 
 
16.7.1
STARS
 
 
 
 
 
16.7.2
EMERGING LEADERS
 
 
 
 
 
16.7.3
PERVASIVE PLAYERS
 
 
 
 
 
16.7.4
PARTICIPANTS
 
 
 
 
 
16.7.5
COMPANY FOOTPRINT: KEY PLAYERS,
 
 
 
 
 
 
16.7.5.1
COMPANY FOOTPRINT
 
 
 
 
 
16.7.5.2
REGION FOOTPRINT
 
 
 
 
 
16.7.5.3
PAYLOAD CAPACITY FOOTPRINT
 
 
 
 
 
16.7.5.4
NAVIGATION TECHNOLOGY FOOTPRINT
 
 
 
 
 
16.7.5.5
INDUSTRY FOOTPRINT
 
 
 
16.8
COMPANY EVALUATION MATRIX: STARTUPS/SMES,
 
 
 
 
 
 
 
16.8.1
PROGRESSIVE COMPANIES
 
 
 
 
 
16.8.2
RESPONSIVE COMPANIES
 
 
 
 
 
16.8.3
DYNAMIC COMPANIES
 
 
 
 
 
16.8.4
STARTING BLOCKS
 
 
 
 
 
16.8.5
COMPETITIVE BENCHMARKING: STARTUPS/SMES,
 
 
 
 
 
 
16.8.5.1
DETAILED LIST OF KEY STARTUPS/SMES
 
 
 
 
 
16.8.5.2
COMPETITIVE BENCHMARKING OF KEY STARTUPS/SMES
 
 
 
16.9
COMPETITIVE SCENARIO
 
 
 
 
 
 
16.9.1
PRODUCT LAUNCHES
 
 
 
 
 
16.9.2
DEALS
 
 
 
17
AUTONOMOUS MOBILE ROBOTS MARKET, COMPANY PROFILES
 
 
 
 
 
 
17.1
KEY PLAYERS
 
 
 
 
 
 
17.1.1
ABB
 
 
 
 
 
 
17.1.1.1
BUSINESS OVERVIEW
 
 
 
 
 
17.1.1.2
PRODUCTS/SOLUTIONS/SERVICES OFFERED
 
 
 
 
 
17.1.1.3
RECENT DEVELOPMENTS
 
 
 
 
 
 
17.1.1.3.1
PRODUCT LAUNCHES
 
 
 
 
 
17.1.1.3.2
DEALS
 
 
 
 
17.1.1.4
MNM VIEW
 
 
 
 
 
 
17.1.1.4.1
KEY STRENGTHS/RIGHT TO WIN
 
 
 
 
 
17.1.1.4.2
STRATEGIC CHOICES
 
 
 
 
 
17.1.1.4.3
WEAKNESSES/COMPETITIVE THREATS
 
 
 
17.1.2
OMRON CORPORATION
 
 
 
 
 
17.1.3
KUKA AG
 
 
 
 
 
17.1.4
OCEANEERING
 
 
 
 
 
17.1.5
OCADO
 
 
 
 
 
17.1.6
KNAPP
 
 
 
 
 
17.1.7
JUNGHEINRICH AG
 
 
 
 
 
17.1.8
DEMATIC
 
 
 
 
 
17.1.9
SSI SCHAEFER
 
 
 
 
 
17.1.10
GEEKPLUS TECHNOLOGY CO., LTD.
 
 
 
 
 
17.1.11
ZEBRA TECHNOLOGIES CORP.
 
 
 
 
 
17.1.12
MOBILE INDUSTRIAL ROBOTS
 
 
 
 
 
17.1.13
OTTO MOTORS
 
 
 
 
 
17.1.14
ADDVERB TECHNOLOGIES LIMITED
 
 
 
 
 
17.1.15
LOCUS ROBOTICS
 
 
 
 
17.2
OTHER PLAYERS
 
 
 
 
 
 
17.2.1
BOSTON DYNAMICS.
 
 
 
 
 
17.2.2
SEEGRID
 
 
 
 
 
17.2.3
WUXI QUICKTRON INTELLIGENT TECHNOLOGY CO., LTD.
 
 
 
 
 
17.2.4
AETHON, INC.
 
 
 
 
 
17.2.5
INVIA ROBOTICS, INC.
 
 
 
 
 
17.2.6
EIRATECH ROBOTICS LTD.
 
 
 
 
 
17.2.7
GREYORANGE
 
 
 
 
 
17.2.8
MAGAZINO
 
 
 
 
 
17.2.9
ONWARD ROBOTICS
 
 
 
 
 
17.2.10
MATTHEWS AUTOMATION SOLUTION
 
 
 
 
 
17.2.11
MILVUS ROBOTICS
 
 
 
 
 
17.2.12
MOVE ROBOTIC SDN. BHD.
 
 
 
 
 
17.2.13
ROBOTNIK
 
 
 
 
 
17.2.14
SCALLOG
 
 
 
 
 
17.2.15
SESTO ROBOTICS.
 
 
 
 
 
17.2.16
VECNA ROBOTICS
 
 
 
 
 
17.2.17
NOVUS HI-TECH ROBOTIC SYSTEMZ
 
 
 
18
RESEARCH METHODOLOGY
 
 
 
 
 
 
18.1
RESEARCH DATA
 
 
 
 
 
 
18.1.1
SECONDARY AND PRIMARY RESEARCH
 
 
 
 
 
18.1.2
SECONDARY DATA
 
 
 
 
 
 
18.1.2.1
LIST OF MAJOR SECONDARY SOURCES
 
 
 
 
 
18.1.2.2
KEY DATA FROM SECONDARY SOURCES
 
 
 
 
18.1.3
PRIMARY DATA
 
 
 
 
 
 
18.1.3.1
PRIMARY INTERVIEWS WITH EXPERTS
 
 
 
 
 
18.1.3.2
KEY DATA FROM PRIMARY SOURCES
 
 
 
 
 
18.1.3.3
KEY INDUSTRY INSIGHTS
 
 
 
 
 
18.1.3.4
BREAKDOWN OF PRIMARIES
 
 
 
18.2
MARKET SIZE ESTIMATION
 
 
 
 
 
 
18.2.1
BOTTOM-UP APPROACH
 
 
 
 
 
18.2.2
TOP-DOWN APPROACH
 
 
 
 
 
18.2.3
MARKET SIZE CALCULATION FOR BASE YEAR
 
 
 
 
18.3
MARKET FORECAST APPROACH
 
 
 
 
 
 
18.3.1
SUPPLY SIDE
 
 
 
 
 
18.3.2
DEMAND SIDE
 
 
 
 
18.4
DATA TRIANGULATION
 
 
 
 
 
18.5
RESEARCH ASSUMPTIONS
 
 
 
 
 
18.6
RESEARCH LIMITATIONS
 
 
 
 
 
18.7
RISK ASSESSMENT
 
 
 
 
19
APPENDIX
 
 
 
 
 
 
19.1
DISCUSSION GUIDE
 
 
 
 
 
19.2
KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
 
 
 
 
 
19.3
CUSTOMIZATION OPTIONS
 
 
 
 
 
19.4
RELATED REPORTS
 
 
 
 
 
19.5
AUTHOR DETAILS
 
 
 
 
 
NOTE: THIS IS A TENTATIVE TOC AND MAY CHANGE AS THE RESEARCH PROGRESSES.
 
 
 
 
 

Methodology

The study involved four major activities in estimating the current size of the autonomous mobile robots market. Exhaustive secondary research has been done to collect information on the market, peer market, and parent market. To validate these findings, assumptions, and sizing with industry experts across the value chain through primary research has been the next step. Both top-down and bottom-up approaches have been employed to estimate the complete market size. After that, market breakdown and data triangulation methods have been used to estimate the market size of segments and subsegments. Two sources of information—secondary and primary—have been used to identify and collect information for an extensive technical and commercial study of the autonomous mobile robots market.

Secondary Research

Various secondary sources have been referred to in the secondary research process to identify and collect information important for this study. The secondary sources include annual reports, press releases, and investor presentations of companies; white papers; journals and certified publications; and articles from recognized authors, websites, directories, and databases. Secondary research has been conducted to obtain key information about the industry’s supply chain, the market’s value chain, the total pool of key players, market segmentation according to the industry trends (to the bottom-most level), regional markets, and key developments from market- and technology-oriented perspectives. The secondary data has been collected and analyzed to determine the overall market size, further validated by primary research.

Primary Research

Extensive primary research was conducted after gaining knowledge about the current scenario of the autonomous mobile robots market through secondary research. Several primary interviews were conducted with experts from the demand and supply sides across four major regions—North America, Europe, Asia Pacific and RoW. This primary data was collected through questionnaires, emails, and telephonic interviews.

Autonomous Mobile Robots (AMR) Market Size, and Share

Note: The three tiers of the companies are defined based on their total revenue in 2023: Tier 1 - revenue greater than or equal to USD 1 billion; Tier 2 - revenue between USD 100 million and USD 1 billion; and Tier 3 revenue less than or equal to USD 100 million. Other designations include sales managers, marketing managers, and product managers.

To know about the assumptions considered for the study, download the pdf brochure

Market Size Estimation

Both top-down and bottom-up approaches have been used to estimate and validate the total size of the autonomous mobile robots market. These methods have also been used extensively to estimate the size of various subsegments in the market. The following research methodology has been used to estimate the market size:

  • Major players in the industry and markets have been identified through extensive secondary research.
  • The industry’s value chain and market size (in terms of value) have been determined through primary and secondary research processes.
  • All percentage shares, splits, and breakdowns have been determined using secondary sources and verified through primary sources.

Autonomous Mobile Robots (AMR) Market : Top-Down and Bottom-Up Approach

Autonomous Mobile Robots (AMR) Market Top Down and Bottom Up Approach

Data Triangulation

After arriving at the overall size of the autonomous mobile robots market from the market size estimation process explained above, the total market has been split into several segments and subsegments. Data triangulation and market breakdown procedures have been employed, wherever applicable, to complete the overall market engineering process and arrive at the exact statistics for all segments and subsegments of the market. The data has been triangulated by studying various factors and trends from both the demand and supply sides. Along with this, the market size has been validated using both top-down and bottom-up approaches.

Market Definition

The autonomous mobile robots market designs, manufactures, and deploys intelligent robots that are capable of navigating dynamic environments without human intervention. These are equipped with advanced sensors, artificial intelligence, and navigation systems to perform material handling, inventory management, and quality control. AMRs are available in different configurations and payload capacities, navigation technologies, and battery life. Due to a rising call for automation, labor shortages and increased efficiency requirement, the market of AMRs is looking towards great rise, propelling innovations and disrupting industries all around the globe.

Key Stakeholders

  • Autonomous mobile robots manufacturers
  • Sensors, actuators, and other hardware component providers
  • AMR Software developers
  • AMR suppliers and distributors
  • E-commerce and retail companies
  • Logistic companies

Report Objectives

  • To define, describe and forecast the autonomous mobile robots market, in terms of offering, navigation technology, payload capacity, industry and region.
  • To describe and forecast the market, in terms of value, with regard to four main regions: North America, Europe, Asia Pacific, and Rest of the World (RoW) along with their respective countries
  • To provide detailed information regarding major factors influencing the market growth (drivers, restraints, opportunities, and challenges)
  • To provide a detailed overview of the value chain of autonomous mobile robots market.
  • To strategically analyze micromarkets with respect to individual growth trends, prospects, and contributions to the autonomous mobile robots market
  • To analyze opportunities in the market for stakeholders by identifying high-growth segments of the autonomous mobile robots market.
  • To strategically profile key players and comprehensively analyze their market position in terms of ranking and core competencies, along with detailing the competitive landscape for market leaders
  • To analyze competitive strategies, such as product launches, expansions, mergers and acquisitions, adopted by key market players in the autonomous mobile robots market.

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Growth opportunities and latent adjacency in Autonomous Mobile Robots (AMR) Market

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