Autonomous Mobile Robot Market Size, Trends and Insights By Component (Hardware, Software, Services), By Type (Goods-to-person picking robots, Self-driving Forklifts, Autonomous Inventory Robots, Unmanned Aerial Vehicles), By Battery Type (Lead Battery, Lithium-Ion Battery, Nickel-based Battery, Others), By End-Use (Manufacturing, Automotive, Aerospace, Electronics, Chemical, Pharmaceuticals, Plastics, Defense, FMCG, Others, Wholesale & Distribution, E-commerce, Retail Chains/Conveyance Stores, Others), and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2024–2033
Report Snapshot
| Study Period: | 2024-2033 |
| Fastest Growing Market: | Asia-Pacific |
| Largest Market: | Europe |
Major Players
- ABB
- Bleum
- Boston Dynamics
- Clearpath Robotics Inc.
- GreyOrange
- Harvest Automation
- Others
Reports Description
As per the current market research conducted by the CMI Team, the global Autonomous Mobile Robot Market is expected to record a CAGR of 22% from 2023 to 2032. In 2022, the market size is projected to reach a valuation of USD 2.5 billion. By 2032, the valuation is anticipated to reach USD 9.9 billion.
Autonomous robots represent a category of intelligent machines capable of executing real-world tasks without direct human intervention. Within this realm, autonomous mobile robots (AMRs) excel in comprehending and navigating their environments independently, without the need for constant human oversight.
AMRs rely on sophisticated software to generate on-site maps, either by scanning their surroundings in real time or by utilizing pre-loaded facility blueprints. These maps serve as reference points for navigation. To chart their course efficiently, AMRs leverage advanced technologies such as LiDAR sensors and simultaneous localization and mapping (SLAM).
Furthermore, AMRs possess the capacity to dynamically adapt their routes based on varying conditions and requirements. This adaptability allows them to adjust their path in response to changing tasks.
Additionally, AMRs are equipped with obstacle detection and avoidance capabilities, enabling them to automatically select the optimal route to their next destination while circumventing obstacles and navigating through restricted passages.
Autonomous Mobile Robot Market – Significant Growth Factors
Autonomous mobile robots (AMRs) play a pivotal role in the seamless picking, transportation, and sorting of items within manufacturing and distribution facilities, all achieved without the need for manual intervention.
These versatile AMRs rely on a combination of vision cameras, onboard sensors, and facility maps that are seamlessly integrated with warehouse execution software (WES). This powerful combination empowers AMRs to execute a wide range of operations, including the movement of raw materials and finished products throughout the facility.
The adoption of AMRs is driven by a multitude of advantages they offer. These include the prevention of product damage, reduction in labor costs, substantial enhancements in productivity, and the automation of critical processes.
Various industries and verticals, encompassing transportation and logistics, automotive, and the food and beverage sector, have already recognized and harnessed the advantages of integrating AMRs into their operations. In the context of diverse industrial settings, Autonomous Mobile Robots (AMRs) serve as a vital element of lean operational strategies.
They are purposefully designed to tackle the unique challenges that conventional industrial environments often present. These robots excel in navigating through inherently dynamic settings, including demanding landscapes like construction sites.
As production facilities increasingly embrace leaner operational practices and become more agile, the demand for robots capable of safely and effectively operating within these evolving environments is on the verge of experiencing substantial commercial growth.
Autonomous robots offer a valuable avenue for introducing process automation into warehouses and production facilities without the need for extensive alterations to the existing operational environment. A notable example of this trend occurred in August 2022 when Boston Dynamics and NFI entered into a substantial agreement worth USD 10 million.
The agreement centered on the deployment of Boston Dynamics’ latest robot, Stretch, within NFI’s warehousing operations across the United States. Under this initiative, the mobile robot commenced unloading trucks and containers at NFI’s facility located in Savannah, Georgia, as part of an initial trial program scheduled for 2023.
In the subsequent years, NFI plans to extend the adoption of such robots to multiple warehouse locations across North America. The deployment of autonomous mobile robots involves several critical steps, including the establishment of waypoints and mission planning. Integrating these robots within a factory or workplace to operate autonomously is a complex undertaking, often accompanied by hidden setup costs.
These hidden costs encompass expenses related to engaging vendors or robotics experts to configure the robots, time investments in adapting or modifying the physical infrastructure, and efforts spent on training personnel to effectively set up and operate these robots.
Additionally, the autonomous mobile robot market faces challenges associated with managing the value chain. This is primarily due to the relatively low profit margins linked to the installation of such sophisticated systems.
Moreover, the market contends with price hikes in micro-processing components, which can further impede its growth prospects during the forecast period.
Autonomous Mobile Robot Market – Mergers and Acquisitions
- In July 2022, Geek+ unveiled a strategic partnership with Systemex Automation, a prominent Canadian systems integrator, with the aim of expanding the deployment of autonomous mobile robots (AMRs) in North America. Under this collaboration, Systemex Automation will make available Geek+’s comprehensive portfolio of AMR solutions, encompassing Picking, Moving, Sorting, and Storage/Automated Storage and Retrieval Systems (ASRS), to its clientele.
- In March 2022, Locus Robotics, a leading manufacturer of autonomous mobile robots for fulfilment warehouses, introduced two new additions to its lineup of warehouse AMRs, namely the Locus Vector and Locus Max, thus broadening its range of offerings in this sector.
- In September 2021, Locus Robotics made a significant acquisition by purchasing Waypoint Robotics, a manufacturer specializing in industrial-strength, autonomous, omnidirectional mobile robots. This strategic acquisition expanded Locus’ product line of AMR solutions, catering to a wide spectrum of applications, including case-picking, pallet-picking, and scenarios requiring the handling of larger, heavier payloads and diverse fulfilment modalities.
- In March 2021, Boston Dynamics launched Stretch, a novel box-moving robot specifically designed to address the escalating demand for flexible automation solutions within the logistics industry.
- In March 2023, Barcodes Group unveiled its new autonomous mobile robotics portfolio, complemented by Plug-and-Play Integration Software. This innovative offering provides businesses with intelligent automation solutions that are easy to adopt and promise a swift return on investment.
COMPARATIVE ANALYSIS OF THE RELATED MARKET
| Autonomous Mobile Robot Market | Application Security Market | Mobile Core Network Market |
| CAGR 22% (Approx) | CAGR 18% (Approx) | CAGR 8.2% (Approx) |
| USD 9.9 Billion by 2032 | USD 11.2 Billion by 2032 | USD 48.3 Billion by 2032 |
Autonomous Mobile Robot Market – Significant Threats
- High Initial Setup Costs: The deployment of AMRs often involves substantial upfront costs, including the acquisition of hardware, software, and the necessary infrastructure. These expenses can be prohibitive for smaller businesses, posing a barrier to market entry and adoption.
- Integration Complexities: Integrating AMRs into existing operational workflows can be a complex and time-consuming process. The need for custom integration with other systems and machinery can result in delays and additional costs.
- Security Concerns: As AMRs are increasingly connected to networks and systems, they become potential targets for cyberattacks. Ensuring the security of these robots and the data they handle is a critical challenge.
- Limited Adaptability: AMRs are designed for specific tasks and environments. Adapting them to new tasks or environments often requires significant reconfiguration and customization, which can be expensive and time-intensive.
- Regulatory Compliance: Adhering to industry-specific regulations and safety standards is crucial for AMR deployments. Non-compliance can lead to legal and operational challenges.
- Technological Dependency: AMRs rely on advanced technologies like sensors, AI, and IoT. Any disruption in the supply chain or advancements in these technologies can impact the functionality and relevance of existing AMR systems.
- Skilled Workforce: Operating and maintaining AMR requires a skilled workforce, including technicians capable of troubleshooting and repairing these machines. A shortage of such expertise can hinder AMR adoption.
Report Scope
| Feature of the Report | Details |
| Market Size in 2023 | USD 3.2 Billion |
| Projected Market Size in 2032 | USD 9.9 Billion |
| Market Size in 2022 | USD 2.5 Billion |
| CAGR Growth Rate | 22% CAGR |
| Base Year | 2023 |
| Forecast Period | 2024-2033 |
| Key Segment | By Component, Type, Battery Type, End-Use and Region |
| Report Coverage | Revenue Estimation and Forecast, Company Profile, Competitive Landscape, Growth Factors and Recent Trends |
| Regional Scope | North America, Europe, Asia Pacific, Middle East & Africa, and South & Central America |
| Buying Options | Request tailored purchasing options to fulfil your requirements for research. |
Category-Wise Insights
Based on Component:
The hardware segment emerged as the frontrunner in the autonomous mobile robots market in 2022, capturing a substantial share exceeding 65% of the global revenue. This segment encompasses the constituent components utilized in the construction of AMRs, encompassing controllers, wheels, encoders, brakes, motors, batteries, actuators, sensors, and power systems.
Notably, in May 2022, Qualcomm introduced the Robotics RB6 Platform, a sophisticated hardware development kit capable of serving as the central processing unit for various applications, including commercial drones, autonomous robots, and delivery robots.
Additionally, Qualcomm unveiled a novel RB5 reference design, which builds upon the RB5 platform utilized in millions of systems and incorporates all the requisite hardware and sensors essential for AMR development.
Based on Type:
The goods-to-person picking robots segment assumed a leadership position in the market, contributing to more than 49% of the total global revenue in 2022. This substantial share can be attributed to the persistent adoption of autonomous robots to replace traditional paper-based and manual picking methods.
Goods-to-person picking robots are programmable to transport carts and navigate flexible routes for efficient goods transfer between workers and designated stations. Several prominent robotics firms, including Bleum, GreyOrange, and IAM Robotics, provide autonomous mobile robotic picking systems that have the potential to significantly enhance manufacturing and warehousing operations.
For instance, Locus Robotics, a leading robotic process automation company, asserts that its picking robots can boost productivity by 3-5 times, primarily by reducing labor-related expenses such as task interleaving, travel time, overtime, and training costs.
Autonomous Mobile Robot Market – Regional Analysis
North America:
The North American autonomous mobile robot market encompasses the United States, Canada, and Mexico. The region is experiencing substantial market growth driven by advancements in autonomous mobile robot technologies, including sophisticated sensors, command and control systems, and AI-powered capabilities.
Moreover, there is a notable increase in research and development activities focused on warehouse applications. The North American market has witnessed a surge in the adoption of autonomous mobile robots, driven by heightened awareness of their efficiency and features.
This increased awareness is expected to further boost the demand for autonomous mobile robots and contribute to market growth during the forecast period. Industrial automation is a significant driver of market growth in North America, with a focus on developing operationally efficient autonomous mobile robots.
This presents attractive opportunities for market expansion. Several factors are fueling the adoption of these robots in the United States, including the need for faster and more precise goods delivery, cost savings in labor, and enhanced productivity.
Additionally, companies operating in the North American autonomous mobile robot market are employing strategies such as acquisitions to broaden their footprint in the region.
Asia Pacific:
The Asia Pacific region is poised for substantial growth in the autonomous mobile robot market during the forecast period. This growth is driven by the expanding e-commerce sector in emerging economies within the region, which is propelling the adoption of autonomous mobile robots for efficient inventory management.
Furthermore, the fierce competition within the e-commerce industry is pushing companies to seek innovative ways to stand out, and one such approach is to reduce the delivery time for goods. To achieve this goal, e-commerce firms are increasingly deploying autonomous mobile robots in their warehouses to automate critical intralogistics tasks, including picking, sorting, and palletizing. This trend is expected to further accelerate the adoption of AMRs in the Asia Pacific region.
List of the prominent players in the Autonomous Mobile Robot Market:
- ABB
- Bleum
- Boston Dynamics
- Clearpath Robotics Inc.
- GreyOrange
- Harvest Automation
- IAM Robotics
- inVia Robotics Inc.
- KUKA AG
- Teradyne Inc.
- Others
The Autonomous Mobile Robot Market is segmented as follows:
By Component
- Hardware
- Software
- Services
By Type
- Goods-to-person picking robots
- Self-driving Forklifts
- Autonomous Inventory Robots
- Unmanned Aerial Vehicles
By Battery Type
- Lead Battery
- Lithium-Ion Battery
- Nickel-based Battery
- Others
By End-Use
- Manufacturing
- Automotive
- Aerospace
- Electronics
- Chemical
- Pharmaceuticals
- Plastics
- Defense
- FMCG
- Others
- Wholesale & Distribution
- E-commerce
- Retail Chains/Conveyance Stores
- Others
Regional Coverage:
North America
- U.S.
- Canada
- Mexico
- Rest of North America
Europe
- Germany
- France
- U.K.
- Italy
- Spain
- Rest of Europe
Asia Pacific
- China
- Japan
- India
- New Zealand
- Australia
- South Korea
- Rest of Asia Pacific
The Middle East & Africa
- Saudi Arabia
- UAE
- Egypt
- Kuwait
- South Africa
- Rest of the Middle East & Africa
Latin America
- Brazil
- Argentina
- Rest of Latin America
Table of Contents
- Chapter 1. Preface
- 1.1 Report Description and Scope
- 1.2 Research scope
- 1.3 Research methodology
- 1.3.1 Market Research Type
- 1.3.2 Market Research Methodology
- Chapter 2. Executive Summary
- 2.1 Global Autonomous Mobile Robot Market, (2024 – 2033) (USD Billion)
- 2.2 Global Autonomous Mobile Robot Market: Snapshot
- Chapter 3. Global Autonomous Mobile Robot Market – Industry Analysis
- 3.1 Autonomous Mobile Robot Market: Market Dynamics
- 3.2 Market Drivers
- 3.2.1 Growing E-commerce Industry
- 3.2.2 Industrial Automation
- 3.2.3 Advancements in Technology
- 3.2.4 Need for Efficiency
- 3.2.5 Labor Shortages
- 3.2.6 Safety and Reliability
- 3.2.7 R&D and Innovation.
- 3.3 Market Restraints
- 3.4 Market Opportunities
- 3.5 Market Challenges
- 3.6 Porter’s Five Forces Analysis
- 3.7 Market Attractiveness Analysis
- 3.7.1 Market Attractiveness Analysis By Component
- 3.7.2 Market Attractiveness Analysis By Type
- 3.7.3 Market Attractiveness Analysis By Battery Type
- 3.7.4 Market Attractiveness Analysis By End-Use
- Chapter 4. Global Autonomous Mobile Robot Market- Competitive Landscape
- 4.1 Company market share analysis
- 4.1.1 Global Autonomous Mobile Robot Market: Company Market Share, 2022
- 4.2 Strategic development
- 4.2.1 Acquisitions & mergers
- 4.2.2 New Product launches
- 4.2.3 Agreements, partnerships, collaborations, and joint ventures
- 4.2.4 Research and development and Regional expansion
- 4.3 Price trend analysis
- 4.1 Company market share analysis
- Chapter 5. Global Autonomous Mobile Robot Market – Component Analysis
- 5.1 Global Autonomous Mobile Robot Market Overview: By Component
- 5.1.1 Global Autonomous Mobile Robot Market Share, By Component, 2022 and – 2033
- 5.2 Hardware
- 5.2.1 Global Autonomous Mobile Robot Market by Hardware, 2024 – 2033 (USD Billion)
- 5.3 Software
- 5.3.1 Global Autonomous Mobile Robot Market by Software, 2024 – 2033 (USD Billion)
- 5.4 Services
- 5.4.1 Global Autonomous Mobile Robot Market by Services, 2024 – 2033 (USD Billion)
- 5.1 Global Autonomous Mobile Robot Market Overview: By Component
- Chapter 6. Global Autonomous Mobile Robot Market – Type Analysis
- 6.1 Global Autonomous Mobile Robot Market Overview: By Type
- 6.1.1 Global Autonomous Mobile Robot Market Share, By Type, 2022 and – 2033
- 6.2 Goods-to-person picking robots
- 6.2.1 Global Autonomous Mobile Robot Market by Goods-to-person Picking Robots, 2024 – 2033 (USD Billion)
- 6.3 Self-driving Forklifts
- 6.3.1 Global Autonomous Mobile Robot Market by Self-driving Forklifts, 2024 – 2033 (USD Billion)
- 6.4 Autonomous Inventory Robots
- 6.4.1 Global Autonomous Mobile Robot Market by Autonomous Inventory Robots, 2024 – 2033 (USD Billion)
- 6.5 Unmanned Aerial Vehicles
- 6.5.1 Global Autonomous Mobile Robot Market by Unmanned Aerial Vehicles, 2024 – 2033 (USD Billion)
- 6.1 Global Autonomous Mobile Robot Market Overview: By Type
- Chapter 7. Global Autonomous Mobile Robot Market – Battery Type Analysis
- 7.1 Global Autonomous Mobile Robot Market Overview: By Battery Type
- 7.1.1 Global Autonomous Mobile Robot Market Share, By Battery Type, 2022 and – 2033
- 7.2 Lead Battery
- 7.2.1 Global Autonomous Mobile Robot Market by Lead Battery, 2024 – 2033 (USD Billion)
- 7.3 Lithium-Ion Battery
- 7.3.1 Global Autonomous Mobile Robot Market by Lithium-Ion Battery, 2024 – 2033 (USD Billion)
- 7.4 Nickel-based Battery
- 7.4.1 Global Autonomous Mobile Robot Market by Nickel-based Battery, 2024 – 2033 (USD Billion)
- 7.5 Others
- 7.5.1 Global Autonomous Mobile Robot Market by Others, 2024 – 2033 (USD Billion)
- 7.1 Global Autonomous Mobile Robot Market Overview: By Battery Type
- Chapter 8. Global Autonomous Mobile Robot Market – End-Use Analysis
- 8.1 Global Autonomous Mobile Robot Market Overview: By End-Use
- 8.1.1 Global Autonomous Mobile Robot Market Share, By End-Use, 2022 and – 2033
- 8.2 Manufacturing
- 8.2.1 Global Autonomous Mobile Robot Market by Manufacturing, 2024 – 2033 (USD Billion)
- 8.3 Automotive
- 8.3.1 Global Autonomous Mobile Robot Market by Automotive, 2024 – 2033 (USD Billion)
- 8.4 Aerospace
- 8.4.1 Global Autonomous Mobile Robot Market by Aerospace, 2024 – 2033 (USD Billion)
- 8.5 Electronics
- 8.5.1 Global Autonomous Mobile Robot Market by Electronics, 2024 – 2033 (USD Billion)
- 8.6 Chemical
- 8.6.1 Global Autonomous Mobile Robot Market by Chemical, 2024 – 2033 (USD Billion)
- 8.7 Pharmaceuticals
- 8.7.1 Global Autonomous Mobile Robot Market by Pharmaceuticals, 2024 – 2033 (USD Billion)
- 8.8 Plastics
- 8.8.1 Global Autonomous Mobile Robot Market by Plastics, 2024 – 2033 (USD Billion)
- 8.9 Defense
- 8.9.1 Global Autonomous Mobile Robot Market by Defense, 2024 – 2033 (USD Billion)
- 8.10 FMCG
- 8.10.1 Global Autonomous Mobile Robot Market by FMCG, 2024 – 2033 (USD Billion)
- 8.11 Wholesale & Distribution
- 8.11.1 Global Autonomous Mobile Robot Market by Wholesale & Distribution, 2024 – 2033 (USD Billion)
- 8.12 E-commerce
- 8.12.1 Global Autonomous Mobile Robot Market by E-commerce, 2024 – 2033 (USD Billion)
- 8.13 Retail Chains/Conveyance Stores
- 8.13.1 Global Autonomous Mobile Robot Market by Retail Chains/Conveyance Stores, 2024 – 2033 (USD Billion)
- 8.14 Others
- 8.14.1 Global Autonomous Mobile Robot Market by Others, 2024 – 2033 (USD Billion)
- 8.1 Global Autonomous Mobile Robot Market Overview: By End-Use
- Chapter 9. Autonomous Mobile Robot Market – Regional Analysis
- 9.1 Global Autonomous Mobile Robot Market Regional Overview
- 9.2 Global Autonomous Mobile Robot Market Share, by Region, 2022 & – 2033 (USD Billion)
- 9.3. North America
- 9.3.1 North America Autonomous Mobile Robot Market, 2024 – 2033 (USD Billion)
- 9.3.1.1 North America Autonomous Mobile Robot Market, by Country, 2024 – 2033 (USD Billion)
- 9.3.1 North America Autonomous Mobile Robot Market, 2024 – 2033 (USD Billion)
- 9.4 North America Autonomous Mobile Robot Market, by Component, 2024 – 2033
- 9.4.1 North America Autonomous Mobile Robot Market, by Component, 2024 – 2033 (USD Billion)
- 9.5 North America Autonomous Mobile Robot Market, by Type, 2024 – 2033
- 9.5.1 North America Autonomous Mobile Robot Market, by Type, 2024 – 2033 (USD Billion)
- 9.6 North America Autonomous Mobile Robot Market, by Battery Type, 2024 – 2033
- 9.6.1 North America Autonomous Mobile Robot Market, by Battery Type, 2024 – 2033 (USD Billion)
- 9.7 North America Autonomous Mobile Robot Market, by End-Use, 2024 – 2033
- 9.7.1 North America Autonomous Mobile Robot Market, by End-Use, 2024 – 2033 (USD Billion)
- 9.8. Europe
- 9.8.1 Europe Autonomous Mobile Robot Market, 2024 – 2033 (USD Billion)
- 9.8.1.1 Europe Autonomous Mobile Robot Market, by Country, 2024 – 2033 (USD Billion)
- 9.8.1 Europe Autonomous Mobile Robot Market, 2024 – 2033 (USD Billion)
- 9.9 Europe Autonomous Mobile Robot Market, by Component, 2024 – 2033
- 9.9.1 Europe Autonomous Mobile Robot Market, by Component, 2024 – 2033 (USD Billion)
- 9.10 Europe Autonomous Mobile Robot Market, by Type, 2024 – 2033
- 9.10.1 Europe Autonomous Mobile Robot Market, by Type, 2024 – 2033 (USD Billion)
- 9.11 Europe Autonomous Mobile Robot Market, by Battery Type, 2024 – 2033
- 9.11.1 Europe Autonomous Mobile Robot Market, by Battery Type, 2024 – 2033 (USD Billion)
- 9.12 Europe Autonomous Mobile Robot Market, by End-Use, 2024 – 2033
- 9.12.1 Europe Autonomous Mobile Robot Market, by End-Use, 2024 – 2033 (USD Billion)
- 9.13. Asia Pacific
- 9.13.1 Asia Pacific Autonomous Mobile Robot Market, 2024 – 2033 (USD Billion)
- 9.13.1.1 Asia Pacific Autonomous Mobile Robot Market, by Country, 2024 – 2033 (USD Billion)
- 9.13.1 Asia Pacific Autonomous Mobile Robot Market, 2024 – 2033 (USD Billion)
- 9.14 Asia Pacific Autonomous Mobile Robot Market, by Component, 2024 – 2033
- 9.14.1 Asia Pacific Autonomous Mobile Robot Market, by Component, 2024 – 2033 (USD Billion)
- 9.15 Asia Pacific Autonomous Mobile Robot Market, by Type, 2024 – 2033
- 9.15.1 Asia Pacific Autonomous Mobile Robot Market, by Type, 2024 – 2033 (USD Billion)
- 9.16 Asia Pacific Autonomous Mobile Robot Market, by Battery Type, 2024 – 2033
- 9.16.1 Asia Pacific Autonomous Mobile Robot Market, by Battery Type, 2024 – 2033 (USD Billion)
- 9.17 Asia Pacific Autonomous Mobile Robot Market, by End-Use, 2024 – 2033
- 9.17.1 Asia Pacific Autonomous Mobile Robot Market, by End-Use, 2024 – 2033 (USD Billion)
- 9.18. Latin America
- 9.18.1 Latin America Autonomous Mobile Robot Market, 2024 – 2033 (USD Billion)
- 9.18.1.1 Latin America Autonomous Mobile Robot Market, by Country, 2024 – 2033 (USD Billion)
- 9.18.1 Latin America Autonomous Mobile Robot Market, 2024 – 2033 (USD Billion)
- 9.19 Latin America Autonomous Mobile Robot Market, by Component, 2024 – 2033
- 9.19.1 Latin America Autonomous Mobile Robot Market, by Component , 2024 – 2033 (USD Billion)
- 9.20 Latin America Autonomous Mobile Robot Market, by Type, 2024 – 2033
- 9.20.1 Latin America Autonomous Mobile Robot Market, by Type, 2024 – 2033 (USD Billion)
- 9.21 Latin America Autonomous Mobile Robot Market, by Battery Type , 2024 – 2033
- 9.21.1 Latin America Autonomous Mobile Robot Market, by Battery Type , 2024 – 2033 (USD Billion)
- 9.22 Latin America Autonomous Mobile Robot Market, by End-Use, 2024 – 2033
- 9.22.1 Latin America Autonomous Mobile Robot Market, by End-Use, 2024 – 2033 (USD Billion)
- 9.23. The Middle-East and Africa
- 9.23.1 The Middle-East and Africa Autonomous Mobile Robot Market, 2024 – 2033 (USD Billion)
- 9.23.1.1 The Middle-East and Africa Autonomous Mobile Robot Market, by Country, 2024 – 2033 (USD Billion)
- 9.23.1 The Middle-East and Africa Autonomous Mobile Robot Market, 2024 – 2033 (USD Billion)
- 9.24 The Middle-East and Africa Autonomous Mobile Robot Market, by Component, 2024 – 2033
- 9.24.1 The Middle-East and Africa Autonomous Mobile Robot Market, by Component, 2024 – 2033 (USD Billion)
- 9.25 The Middle-East and Africa Autonomous Mobile Robot Market, by Type, 2024 – 2033
- 9.25.1 The Middle-East and Africa Autonomous Mobile Robot Market, by Type, 2024 – 2033 (USD Billion)
- 9.26 The Middle-East and Africa Autonomous Mobile Robot Market, by Battery Type, 2024 – 2033
- 9.26.1 The Middle-East and Africa Autonomous Mobile Robot Market, by Battery Type, 2024 – 2033 (USD Billion)
- 9.27 The Middle-East and Africa Autonomous Mobile Robot Market, by End-Use, 2024 – 2033
- 9.27.1 The Middle-East and Africa Autonomous Mobile Robot Market, by End-Use, 2024 – 2033 (USD Billion)
- Chapter 10. Company Profiles
- 10.1 ABB
- 10.1.1 Overview
- 10.1.2 Financials
- 10.1.3 Product Portfolio
- 10.1.4 Business Strategy
- 10.1.5 Recent Developments
- 10.2 Bleum
- 10.2.1 Overview
- 10.2.2 Financials
- 10.2.3 Product Portfolio
- 10.2.4 Business Strategy
- 10.2.5 Recent Developments
- 10.3 Boston Dynamics
- 10.3.1 Overview
- 10.3.2 Financials
- 10.3.3 Product Portfolio
- 10.3.4 Business Strategy
- 10.3.5 Recent Developments
- 10.4 Clearpath Robotics Inc.
- 10.4.1 Overview
- 10.4.2 Financials
- 10.4.3 Product Portfolio
- 10.4.4 Business Strategy
- 10.4.5 Recent Developments
- 10.5 GreyOrange
- 10.5.1 Overview
- 10.5.2 Financials
- 10.5.3 Product Portfolio
- 10.5.4 Business Strategy
- 10.5.5 Recent Developments
- 10.6 Harvest Automation
- 10.6.1 Overview
- 10.6.2 Financials
- 10.6.3 Product Portfolio
- 10.6.4 Business Strategy
- 10.6.5 Recent Developments
- 10.7 IAM Robotics
- 10.7.1 Overview
- 10.7.2 Financials
- 10.7.3 Product Portfolio
- 10.7.4 Business Strategy
- 10.7.5 Recent Developments
- 10.8 inVia Robotics Inc.
- 10.8.1 Overview
- 10.8.2 Financials
- 10.8.3 Product Portfolio
- 10.8.4 Business Strategy
- 10.8.5 Recent Developments
- 10.9 KUKA AG
- 10.9.1 Overview
- 10.9.2 Financials
- 10.9.3 Product Portfolio
- 10.9.4 Business Strategy
- 10.9.5 Recent Developments
- 10.10 Teradyne Inc.
- 10.10.1 Overview
- 10.10.2 Financials
- 10.10.3 Product Portfolio
- 10.10.4 Business Strategy
- 10.10.5 Recent Developments
- 10.11 Others.
- 10.11.1 Overview
- 10.11.2 Financials
- 10.11.3 Product Portfolio
- 10.11.4 Business Strategy
- 10.11.5 Recent Developments
- 10.1 ABB
List Of Figures
Figures No 1 to 42
List Of Tables
Tables No 1 to 102
Report Methodology
In order to get the most precise estimates and forecasts possible, Custom Market Insights applies a detailed and adaptive research methodology centered on reducing deviations. For segregating and assessing quantitative aspects of the market, the company uses a combination of top-down and bottom-up approaches. Furthermore, data triangulation, which examines the market from three different aspects, is a recurring theme in all of our research reports. The following are critical components of the methodology used in all of our studies:
Preliminary Data Mining
On a broad scale, raw market information is retrieved and compiled. Data is constantly screened to make sure that only substantiated and verified sources are taken into account. Furthermore, data is mined from a plethora of reports in our archive and also a number of reputed & reliable paid databases. To gain a detailed understanding of the business, it is necessary to know the entire product life cycle and to facilitate this, we gather data from different suppliers, distributors, and buyers.
Surveys, technological conferences, and trade magazines are used to identify technical issues and trends. Technical data is also gathered from the standpoint of intellectual property, with a focus on freedom of movement and white space. The dynamics of the industry in terms of drivers, restraints, and valuation trends are also gathered. As a result, the content created contains a diverse range of original data, which is then cross-validated and verified with published sources.
Statistical Model
Simulation models are used to generate our business estimates and forecasts. For each study, a one-of-a-kind model is created. Data gathered for market dynamics, the digital landscape, development services, and valuation patterns are fed into the prototype and analyzed concurrently. These factors are compared, and their effect over the projected timeline is quantified using correlation, regression, and statistical modeling. Market forecasting is accomplished through the use of a combination of economic techniques, technical analysis, industry experience, and domain knowledge.
Short-term forecasting is typically done with econometric models, while long-term forecasting is done with technological market models. These are based on a synthesis of the technological environment, legal frameworks, economic outlook, and business regulations. Bottom-up market evaluation is favored, with crucial regional markets reviewed as distinct entities and data integration to acquire worldwide estimates. This is essential for gaining a thorough knowledge of the industry and ensuring that errors are kept to a minimum.
Some of the variables taken into account for forecasting are as follows:
• Industry drivers and constraints, as well as their current and projected impact
• The raw material case, as well as supply-versus-price trends
• Current volume and projected volume growth through 2030
We allocate weights to these variables and use weighted average analysis to determine the estimated market growth rate.
Primary Validation
This is the final step in our report’s estimating and forecasting process. Extensive primary interviews are carried out, both in-person and over the phone, to validate our findings and the assumptions that led to them.
Leading companies from across the supply chain, including suppliers, technology companies, subject matter experts, and buyers, use techniques like interviewing to ensure a comprehensive and non-biased overview of the business. These interviews are conducted all over the world, with the help of local staff and translators, to overcome language barriers.
Primary interviews not only aid with data validation, but also offer additional important insight into the industry, existing business scenario, and future projections, thereby improving the quality of our reports.
All of our estimates and forecasts are validated through extensive research work with key industry participants (KIPs), which typically include:
• Market leaders
• Suppliers of raw materials
• Suppliers of raw materials
• Buyers.
The following are the primary research objectives:
• To ensure the accuracy and acceptability of our data.
• Gaining an understanding of the current market and future projections.
Data Collection Matrix
| Perspective | Primary research | Secondary research |
| Supply-side |
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| Demand-side |
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Market Analysis Matrix
| Qualitative analysis | Quantitative analysis |
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FAQs
The key factors driving the Market are Growing E-commerce Industry, Industrial Automation, Advancements in Technology, Need for Efficiency, Labor Shortages, Safety and Reliability And R&D and Innovation.
The “Component” category dominated the market in 2022.
The key players in the market are ABB, Bleum , Boston Dynamics, Clearpath Robotics Inc. , GreyOrange, Harvest Automation, IAM Robotics, inVia Robotics Inc. , KUKA AG, Teradyne Inc., Others.
“North America” had the largest share in the Autonomous Mobile Robot (AMR) Market.
The global market is projected to grow at a CAGR of 22% during the forecast period, 2023-2032.
The Autonomous Mobile Robot (AMR) Market size was valued at USD 2.5 Billion in 2022.