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The Autonomous Mobile Robots for Logistics and Warehousing Market size was valued at USD 2.96 billion in 2023 and is expected to grow to USD 18.56 billion by 2032 and grow at a CAGR of 22.6% over the forecast period of 2024-2032.
The Autonomous Mobile Robots (AMR) for Logistics and Warehousing Market is experiencing significant growth, driven by the increasing demand for automation in supply chain operations. AMRs are self-navigating robots that efficiently handle tasks such as picking, sorting, transporting, and inventory management, enhancing operational efficiency and reducing labor costs. This market expansion is fueled by the rising adoption of e-commerce, which necessitates faster and more accurate fulfillment processes. Technological advancements in AI, machine learning, and sensor technology have further propelled the capabilities of AMRs, enabling them to operate autonomously in dynamic environments without human intervention. The logistics sector, in particular, has embraced these robots to address the challenges of labor shortages and increased consumer expectations for speedy deliveries.
The Autonomous Mobile Robots (AMR) market for logistics and warehousing is set for substantial growth, driven by the need for increased operational efficiency and labor shortages in the sector. While warehouse management systems (WMS) have reached maturity, with 91% of shippers and 75% of logistics providers having implemented them, mobile robotics remains less widely adopted, with less than 8% of U.S. warehouses currently deploying them. However, this is changing rapidly, with ARC Advisory Group projecting double-digit growth for the AMR market, well beyond 10%. AMRs can significantly improve productivity and help address the hiring gap in warehousing by automating various picking processes such as robots-to-goods, goods-to-person, and full pallet moves. James Hart from Lucas Systems highlights the diverse capabilities of AMRs, noting that no single vendor currently offers robots for all picking modes. This has led to a need for a hybrid approach, where multiple AMR types from different providers are integrated within a distribution center (DC). In such cases, a WMS can optimize the process for robots performing full pallet moves, treating them similarly to human labor. However, more complex interactions like follow-the-robot systems require additional robotic execution software on top of the WMS to synchronize human and machine collaboration. This shift towards multi-robot systems and enhanced orchestration software indicates that the AMR market is poised for accelerated growth, filling the gap in warehouse automation.
The growth of the Autonomous Mobile Robots (AMR) market in warehouse and logistics is being propelled by the persistent labor shortages exacerbated during the pandemic, where 57% of supply chain executives reported that workforce constraints hindered their ability to meet surging demand. To address this, many e-commerce operators expanded their warehouse capacities, but once built, they faced a critical challenge—insufficient labor to operate efficiently. This has led to an accelerated shift towards warehouse automation, with AMRs playing a key role in not only improving productivity but also retaining the existing workforce. Contrary to fears of worker displacement, the integration of AMRs helps alleviate physical strain on employees by automating repetitive tasks like picking, sorting, and transporting, allowing workers to focus on more complex activities. Rather than overburdening the workforce with longer shifts that lead to exhaustion, AMRs enable a more sustainable increase in productivity without adding extra hours to an employee’s day. A warehouse worker may increase their output by 25% with two additional hours, but the risk of burnout is high. In contrast, AMRs can work continuously without fatigue, boosting operational efficiency while maintaining workforce morale. by reducing manual tasks, AMRs also improve safety and job satisfaction, helping retain employees in a challenging labor market. This growing need for automation is reflected in the rising adoption of AMRs, with ARC Advisory Group forecasting double-digit growth for the mobile warehouse robotics sector. With the combination of expanded warehouse infrastructure and the need for sustainable workforce management, the AMR market is poised for significant expansion, transforming how warehouses function in the e-commerce era while supporting both business efficiency and employee well-being.
Drivers
Primary factors propelling the expansion of Autonomous Mobile Robots (AMRs) in the warehouse and logistics sector.
Several key factors, such as labor shortages, increasing e-commerce needs, and improvements in robotics technology, are fueling the rapid growth of the Autonomous Mobile Robots (AMRs) market in warehouse and logistics operations. One major factor is the growing shortage of warehouse workers worldwide, leading to a 5.6% rise in labor expenses in the warehousing industry in 2023, as forecasted by the U.S. Bureau of Labor Statistics. This is pushing companies to seek automation options to tackle operational inefficiencies. Moreover, the rapid expansion of online shopping has generated a need for quicker, more precise order processing, leading businesses to implement AMRs to satisfy customer demands. The International Federation of Robotics (IFR) predicts that there will be a 31% yearly growth in robot shipments to warehouses until 2025, demonstrating the steady rise in market acceptance. The U.S. Department of Commerce has emphasized the importance of advanced automation in global supply chains for remaining competitive. Furthermore, the way logistics are managed is changing due to the increase in flexible automation and the incorporation of AMRs with Warehouse Management Systems (WMS). Despite the current low adoption rate of mobile robots in U.S. warehouses, ARC Advisory Group predicts a significant increase in usage, particularly with the rapid adoption of AMRs. The use of AMRs not only helps with the lack of workers but also boosts efficiency by allowing the robots to handle different types of picking jobs like robots-to-goods, following robots, and moving full pallets. Still fragmented, the market lacks a single vendor with a comprehensive solution, leading companies to blend AMRs from different providers. Government efforts, such as China's "Made in China 2025" plan, are also backing this adoption by focusing on robotics in industrial automation. With these drivers in place, the AMR market is ready for ongoing strong growth, transforming operations in warehouses and logistics.
Increasing need for automation in logistics and warehousing Autonomous Mobile Robots in focus.
The logistics and warehousing sector is undergoing a profound transformation, moving from manual operations to automated processes, primarily driven by increasing global supply chain demands. In the past, these operations relied heavily on thousands of workers for material handling and in-house logistics, which was labor-intensive and time-consuming. However, the recent surge in e-commerce and supply chain growth has accelerated the demand for Autonomous Mobile Robots (AMRs) to streamline logistics and warehousing operations. AMRs significantly enhance order fulfillment and distribution efficiency by automating inventory handling, tracking, and material movement within warehouses. Manufacturers of AMRs are now collaborating with warehouse operators to develop customized solutions that address specific challenges in inventory management. This collaboration allows for real-time tracking and location of goods, freeing human workers from monotonous tasks and enabling them to focus on more complex, value-added activities. by reducing labor costs and improving material handling efficiency, AMRs have emerged as a crucial component in modern logistics strategies, allowing businesses to adapt to the rapidly evolving supply chain landscape.
Restraints
Challenges Facing the Autonomous Mobile Robots Market in Logistics and Warehousing
Despite the promising growth of Autonomous Mobile Robots (AMRs) in logistics and warehousing, several market restraints hinder their widespread adoption. One significant barrier is the high initial investment required for AMR technology, which can be prohibitive for smaller enterprises. This upfront cost includes not only the robots themselves but also necessary infrastructure upgrades and integration with existing systems, such as Warehouse Management Systems (WMS). Additionally, the complexity of implementing AMRs can lead to operational disruptions during the transition phase, causing resistance from employees who may fear job displacement or lack familiarity with the new technology. Furthermore, while AMRs can enhance efficiency, their effectiveness is often contingent on a well-structured operational environment; poorly organized warehouses can limit the robots' functionality and ROI. There is also a notable shortage of skilled personnel capable of managing and maintaining these advanced systems, which can impede smooth operations and lead to underutilization of the technology. Moreover, concerns regarding safety and reliability in dynamic warehouse environments further complicate AMR deployment. As a result, addressing these challenges is critical for unlocking the full potential of AMRs in logistics and warehousing, as companies weigh the benefits against the obstacles of adoption.
by Type
In the Autonomous Mobile Robots (AMR) for logistics and warehousing Market, Automated Forklifts captured the largest revenue share, accounting for 40% in 2023. This segment’s dominance is primarily attributed to the increasing need for efficient material handling in warehouses, where speed and precision are critical. Automated forklifts enhance operational efficiency by automating the transportation of goods within warehouses, thereby minimizing human error and optimizing labor resources. Companies like Toyota Industries, with their AutonoMate line, have advanced the technology with innovations such as enhanced navigation systems and improved load capacities. Similarly, KION Group has introduced Linde Robotics, featuring AI-driven capabilities that allow forklifts to interact seamlessly with human operators while ensuring safety and productivity. Jungheinrich launched its ECR 18/20 automated forklift series, designed for high-performance operations in tight spaces, which further illustrates the focus on versatility in warehouse environments. The growing integration of Internet of Things (IoT) technologies and machine learning in automated forklifts enables real-time data analysis for optimal routing and inventory management, making them indispensable in modern logistics. As e-commerce continues to surge, the demand for automated forklifts is expected to rise, reinforcing their critical role in the AMR landscape for logistics and warehousing.
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by Application
In the Autonomous Mobile Robots (AMR) market for logistics and warehousing market, the Retail & eCommerce sector dominated with a substantial revenue share of 36% in 2023. This significant market presence is driven by the rapid growth of online shopping, which has intensified the need for efficient and scalable logistics solutions. Retailers are increasingly turning to AMRs to streamline order fulfillment, enhance inventory management, and reduce operational costs. The flexibility of AMRs allows them to handle a variety of tasks, from picking and packing to transporting goods within warehouses. Recent developments in this segment include the launch of Amazon Robotics' new line of mobile fulfillment robots designed to work alongside human staff, optimizing picking processes and reducing delivery times. Additionally, GreyOrange has unveiled its Butler robotic system, which utilizes AI to adapt to changing inventory demands, thereby improving efficiency in dynamic retail environments. Meanwhile, Fetch Robotics has introduced the Freight series, aimed at automating material handling in retail environments to facilitate quicker restocking and inventory audits. As the demand for faster deliveries and improved service levels continues to rise, investments in AMRs within the Retail & eCommerce sector are expected to grow significantly, positioning these technologies as vital components in the future of logistics operations.
In 2023, North America dominated the Autonomous Mobile Robots (AMR) for logistics and warehousing market, capturing a significant revenue share of 36%. This dominance is fueled by a robust e-commerce landscape, substantial investments in automation technologies, and a growing emphasis on operational efficiency across various industries. The region’s advanced infrastructure and a strong presence of key players contribute to its leading position in the global market. Noteworthy product launches in North America include Amazon Robotics' innovative Kiva robots, which have been instrumental in enhancing warehouse operations by improving picking accuracy and speed. Additionally, Vecna Robotics has introduced its Autonomous Mobile Robot, designed for material handling in warehouses and distribution centers, showcasing advanced navigation and integration capabilities. Locus Robotics also expanded its product line with upgraded robots that improve collaboration between human workers and automated systems, aiming to optimize workflows in busy warehouse settings. The growing demand for quick delivery times and increased order volumes, particularly in e-commerce, drives investment in AMR technologies. As companies prioritize automation to remain competitive, North America's commitment to technological advancement and innovation positions it as a leader in the AMR logistics and warehousing market, making significant strides towards the future of supply chain management.
In 2023, the Asia-Pacific region emerged as the second fastest-growing region for Autonomous Mobile Robots (AMR) in logistics and warehousing market , driven by rapid industrialization, increasing urbanization, and a burgeoning e-commerce sector. Countries like China, Japan, and Australia are leading the charge in adopting AMR technologies to enhance operational efficiency and meet the demands of a dynamic supply chain environment. Fanuc, a prominent robotics manufacturer in Japan, launched its new line of AMRs specifically designed for seamless integration into existing warehouse infrastructures, showcasing advanced navigation systems and high payload capacities. Additionally, GreyOrange expanded its operations in India, unveiling its state-of-the-art Butler robotics system, which leverages AI for optimized inventory management and enhanced picking efficiency. Furthermore, Omron introduced its LD Series mobile robots in Australia, designed to automate material handling tasks and improve workflow efficiency in distribution centers. The region’s focus on technological innovation and automation, combined with the rising demand for efficient logistics solutions, positions Asia-Pacific as a pivotal player in the global AMR market. As companies continue to invest in automation, the region is set to witness significant growth in AMR adoption, reshaping logistics and warehousing operations for the future.
Key Players
Some of the major players in Autonomous Mobile Robots (AMR) in logistics and warehousing market provide product and offering .
IAM Robotics (Swift and Locus)
Geekplus Technology Co., Ltd. (GPlus and GTP Series)
Clearpath Robotics Inc. (Husky and Otto)
Boston Dynamics (Stretch and Handle)
Conveyo Technologies (Conveyo AMR and Mobile Robot Systems)
KUKA AG (KMP 1500 and KMP 600)
Fortna Inc. (FortnaFlex and FortnaOS)
Locus Robotics (LocusBot and Locus 2)
Teradyne Inc. (MiR600 and MiR200)
OMRON Corporation (LD Series and HD-1500)
Fetch Robotics (Freight Series and RoboShelf)
GreyOrange (Butler and GreyMatter)
InVia Robotics (InVia Fetch and InVia Logic)
6 River Systems (Chucks and Collaborative Robots)
Savioke (Relay and TUG)
Robotnik Automation (RB-KAIROS and RB-1 Base)
DHL Supply Chain (DHL Robotics Solutions and Automated Guided Vehicles)
SoftBank Robotics (Pepper and Whiz)
Adept Technology (Adept Mobile Robot and Adept Lynx)
Seegrid (Seegrid GT10 and Seegrid Palion)
Others
Recent Development
On June 4, 2024, Locus Robotics was awarded the 2024 Fortress Cybersecurity Award in the Compliance category, recognizing its commitment to adhering to the highest cybersecurity standards and safeguarding customer data.
Dusseldorf, July 3, 2024 – Geekplus, the global leader in mobile robot and smart logistics solutions, has collaborated with Körber to deploy more than 20 autonomous mobile robots for the wine distributor Hawesko Group. The project brings warehouse automation to the company’s Tornech, Germany, facility, where in-house logistics service provider IWL handles 20 million bottles of wine and champagne annually.
On August 26, 2024, Boston Dynamics announced the launch of its second commercial product aimed at autonomous warehouse robotics, designed to handle physically challenging tasks within warehouse environments. This expansion into autonomous solutions highlights Boston Dynamics' commitment to enhancing efficiency and safety in logistics operations.
| Report Attributes | Details |
|---|---|
| Market Size in 2023 | USD 2.96 Billion |
| Market Size by 2032 | USD 18.56 Billion |
| CAGR | CAGR of 22.6 % From 2024 to 2032 |
| Base Year | 2023 |
| Forecast Period | 2024-2032 |
| Historical Data | 2020-2022 |
| Report Scope & Coverage | Market Size, Segments Analysis, Competitive Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook |
| Key Segments | By Type (Autonomous Mobile Picking Robots, Automated Forklifts, Autonomous Inventory Robots, Aerial Inventory Robots) By Applications (Retail & eCommerce, Healthcare & Pharmaceuticals, Food & Beverages, Consumer Electronics, Automotive, Others) |
| Regional Analysis/Coverage | North America (US, Canada, Mexico), Europe (Eastern Europe [Poland, Romania, Hungary, Turkey, Rest of Eastern Europe] Western Europe] Germany, France, UK, Italy, Spain, Netherlands, Switzerland, Austria, Rest of Western Europe]), Asia-Pacific (China, India, Japan, South Korea, Vietnam, Singapore, Australia, Rest of Asia-Pacific), Middle East & Africa (Middle East [UAE, Egypt, Saudi Arabia, Qatar, Rest of Middle East], Africa [Nigeria, South Africa, Rest of Africa], Latin America (Brazil, Argentina, Colombia, Rest of Latin America) |
| Company Profiles | IAM Robotics ,Geekplus Technology Co., Ltd. ,Clearpath Robotics Inc. ,Boston Dynamics ,Conveyo Technologies ,KUKA AG ,Fortna Inc. ,Locus Robotics ,Teradyne Inc. ,OMRON Corporation ,Fetch Robotics ,GreyOrange ,InVia Robotics ,6 River Systems ,Savioke ,Robotnik Automation ,DHL Supply Chain ,SoftBank Robotics ,Adept Technology Seegrid and others |
| Key Drivers | • Primary factors propelling the expansion of Autonomous Mobile Robots (AMRs) in the warehouse and logistics sector. • Increasing need for automation in logistics and warehousing Autonomous Mobile Robots in focus. |
| RESTRAINTS | • Challenges Facing the Autonomous Mobile Robots Market in Logistics and Warehousing |
Ans: The Autonomous Mobile Robots for Logistics and Warehousing Market grow at a CAGR of 22.6% over the forecast period of 2024-2032.
Ans: The Autonomous Mobile Robots for Logistics and Warehousing Market size was valued at USD 2.96 billion in 2023 and is expected to grow to USD 18.56 billion by 2032
Ans: The major growth factor for the Autonomous Mobile Robots for Logistics and Warehousing Market is the increasing demand for automation to improve operational efficiency and address labor shortages in the logistics sector.
Ans: The Automated Forklifts segment dominated the Autonomous Mobile Robots for Logistics and Warehousing Market.
Ans: North America dominated the Autonomous Mobile Robots for Logistics and Warehousing Market in 2023.
Table of Content
1. Introduction
1.1 Market Definition
1.2 Scope (Inclusion and Exclusions)
1.3 Research Assumptions
2. Executive Summary
2.1 Market Overview
2.2 Regional Synopsis
2.3 Competitive Summary
3. Research Methodology
3.1 Top-Down Approach
3.2 Bottom-up Approach
3.3. Data Validation
3.4 Primary Interviews
4. Market Dynamics Impact Analysis
4.1 Market Driving Factors Analysis
4.1.2 Drivers
4.1.2 Restraints
4.1.3 Opportunities
4.1.4 Challenges
4.2 PESTLE Analysis
4.3 Porter’s Five Forces Model
5. Statistical Insights and Trends Reporting
5.1 Incidence and Adoption Rates (2023)
5.2 Usage and Deployment Trends (2023), by Region
5.3 AMR Unit Volume, by Region (2020-2032)
5.4 Investment in Automation, by Region (Government, Commercial, Private, Out-of-Pocket), 2023
6. Competitive Landscape
6.1 List of Major Companies, by Region
6.2 Market Share Analysis, by Region
6.3 Product Benchmarking
6.3.1 Product specifications and features
6.3.2 Pricing
6.4 Strategic Initiatives
6.4.1 Marketing and promotional activities
6.4.2 Distribution and supply chain strategies
6.4.3 Expansion plans and new product launches
6.4.4 Strategic partnerships and collaborations
6.5 Technological Advancements
6.6 Market Positioning and Branding
7. Autonomous Mobile Robots for Logistics and Warehousing Market Segmentation, by Type
7.1 Chapter Overview
7.2 Autonomous Mobile Picking Robots
7.2.1 Autonomous Mobile Picking Robots Market Trends Analysis (2020-2032)
7.2.2 Autonomous Mobile Picking Robots Market Size Estimates and Forecasts to 2032 (USD Billion)
7.3 Automated Forklifts
7.3.1 Automated Forklifts Market Trends Analysis (2020-2032)
7.3.2 Automated Forklifts Market Size Estimates and Forecasts to 2032 (USD Billion)
7.4 Autonomous Inventory Robots
7.4.1 Autonomous Inventory Robots Market Trends Analysis (2020-2032)
7.4.2 Autonomous Inventory Robots Market Size Estimates and Forecasts to 2032 (USD Billion)
7.5 Aerial Inventory Robots
7.5.1 Aerial Inventory Robots Market Trends Analysis (2020-2032)
7.5.2 Aerial Inventory Robots Market Size Estimates and Forecasts to 2032 (USD Billion)
8. Autonomous Mobile Robots for Logistics and Warehousing Market Segmentation, by Application
8.1 Chapter Overview
8.2Retail & eCommerce
8.2.1Retail & eCommerce Market Trends Analysis (2020-2032)
8.2.2Retail & eCommerce Market Size Estimates and Forecasts to 2032 (USD Billion)
8.3 Healthcare & Pharmaceuticals
8.3.1 Healthcare & Pharmaceuticals Market Trends Analysis (2020-2032)
8.3.2 Healthcare & Pharmaceuticals Market Size Estimates and Forecasts to 2032 (USD Billion)
8.4 Food & Beverages
8.4.1 Food & Beverages Market Trends Analysis (2020-2032)
8.4.2 Food & Beverages Market Size Estimates and Forecasts to 2032 (USD Billion)
8.5 Consumer Electronics
8.5.1 Consumer Electronics Market Trends Analysis (2020-2032)
8.5.2 Consumer Electronics Market Size Estimates and Forecasts to 2032 (USD Billion)
8.6 Automotive
8.6.1 Automotive Market Trends Analysis (2020-2032)
8.6.2 Automotive Market Size Estimates and Forecasts to 2032 (USD Billion)
8.7 Others
8.7.1 Others Market Trends Analysis (2020-2032)
8.7.2 Others Market Size Estimates and Forecasts to 2032 (USD Billion)
9. Regional Analysis
9.1 Chapter Overview
9.2 North America
9.2.1 Trends Analysis
9.2.2 North America Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
9.2.3 North America Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.2.4 North America Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.2.5 USA
9.2.5.1 USA Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.2.5.2 USA Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.2.6 Canada
9.2.6.1 Canada Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.2.6.2 Canada Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.2.7 Mexico
9.2.7.1 Mexico Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.2.7.2 Mexico Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.3 Europe
9.3.1 Eastern Europe
9.3.1.1 Trends Analysis
9.3.1.2 Eastern Europe Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
9.3.1.3 Eastern Europe Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.3.1.4 Eastern Europe Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.3.1.5 Poland
9.3.1.5.1 Poland Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.3.1.5.2 Poland Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.3.1.6 Romania
9.3.1.6.1 Romania Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.3.1.6.2 Romania Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.3.1.7 Hungary
9.3.1.7.1 Hungary Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.3.1.7.2 Hungary Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.3.1.8 Turkey
9.3.1.8.1 Turkey Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.3.1.8.2 Turkey Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.3.1.9 Rest of Eastern Europe
9.3.1.9.1 Rest of Eastern Europe Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.3.1.9.2 Rest of Eastern Europe Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.3.2 Western Europe
9.3.2.1 Trends Analysis
9.3.2.2 Western Europe Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
9.3.2.3 Western Europe Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.3.2.4 Western Europe Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.3.2.5 Germany
9.3.2.5.1 Germany Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.3.2.5.2 Germany Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.3.2.6 France
9.3.2.6.1 France Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.3.2.6.2 France Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.3.2.7 UK
9.3.2.7.1 UK Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.3.2.7.2 UK Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.3.2.8 Italy
9.3.2.8.1 Italy Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.3.2.8.2 Italy Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.3.2.9 Spain
9.3.2.9.1 Spain Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.3.2.9.2 Spain Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.3.2.10 Netherlands
9.3.2.10.1 Netherlands Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.3.2.10.2 Netherlands Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.3.2.11 Switzerland
9.3.2.11.1 Switzerland Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.3.2.11.2 Switzerland Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.3.2.12 Austria
9.3.2.12.1 Austria Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.3.2.12.2 Austria Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.3.2.13 Rest of Western Europe
9.3.2.13.1 Rest of Western Europe Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.3.2.13.2 Rest of Western Europe Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.4 Asia-Pacific
9.4.1 Trends Analysis
9.4.2 Asia-Pacific Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
9.4.3 Asia-Pacific Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.4.4 Asia-Pacific Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.4.5 China
9.4.5.1 China Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.4.5.2 China Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.4.6 India
9.4.5.1 India Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.4.5.2 India Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.4.5 Japan
9.4.5.1 Japan Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.4.5.2 Japan Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.4.6 South Korea
9.4.6.1 South Korea Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.4.6.2 South Korea Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.4.7 Vietnam
9.4.7.1 Vietnam Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.2.7.2 Vietnam Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.4.8 Singapore
9.4.8.1 Singapore Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.4.8.2 Singapore Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.4.9 Australia
9.4.9.1 Australia Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.4.9.2 Australia Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.4.10 Rest of Asia-Pacific
9.4.10.1 Rest of Asia-Pacific Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.4.10.2 Rest of Asia-Pacific Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.5 Middle East and Africa
9.5.1 Middle East
9.5.1.1 Trends Analysis
9.5.1.2 Middle East Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
9.5.1.3 Middle East Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.5.1.4 Middle East Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.5.1.5 UAE
9.5.1.5.1 UAE Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.5.1.5.2 UAE Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.5.1.6 Egypt
9.5.1.6.1 Egypt Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.5.1.6.2 Egypt Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.5.1.7 Saudi Arabia
9.5.1.7.1 Saudi Arabia Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.5.1.7.2 Saudi Arabia Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.5.1.8 Qatar
9.5.1.8.1 Qatar Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.5.1.8.2 Qatar Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.5.1.9 Rest of Middle East
9.5.1.9.1 Rest of Middle East Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.5.1.9.2 Rest of Middle East Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.5.2 Africa
9.5.2.1 Trends Analysis
9.5.2.2 Africa Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
9.5.2.3 Africa Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.5.2.4 Africa Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.5.2.5 South Africa
9.5.2.5.1 South Africa Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.5.2.5.2 South Africa Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.5.2.6 Nigeria
9.5.2.6.1 Nigeria Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.5.2.6.2 Nigeria Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.5.2.7 Rest of Africa
9.5.2.7.1 Rest of Africa Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.5.2.7.2 Rest of Africa Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.6 Latin America
9.6.1 Trends Analysis
9.6.2 Latin America Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
9.6.3 Latin America Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.6.4 Latin America Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.6.5 Brazil
9.6.5.1 Brazil Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.6.5.2 Brazil Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.6.6 Argentina
9.6.6.1 Argentina Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.6.6.2 Argentina Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.6.7 Colombia
9.6.7.1 Colombia Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.6.7.2 Colombia Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.6.8 Rest of Latin America
9.6.8.1 Rest of Latin America Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.6.8.2 Rest of Latin America Autonomous Mobile Robots for Logistics and Warehousing Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10. Company Profiles
10.1 IAM Robotics
10.1.1 Company Overview
10.1.2 Financial
10.1.3 Products/ Services Offered
110.1.4 SWOT Analysis
10.2 Geekplus Technology Co., Ltd.
10.2.1 Company Overview
10.2.2 Financial
10.2.3 Products/ Services Offered
10.2.4 SWOT Analysis
10.3 Clearpath Robotics Inc.
10.3.1 Company Overview
10.3.2 Financial
10.3.3 Products/ Services Offered
10.3.4 SWOT Analysis
10.4 Boston Dynamics
10.4.1 Company Overview
10.4.2 Financial
10.4.3 Products/ Services Offered
10.4.4 SWOT Analysis
10.5 Conveyo Technologies
10.5.1 Company Overview
10.5.2 Financial
10.5.3 Products/ Services Offered
10.5.4 SWOT Analysis
10.6 KUKA AG
10.6.1 Company Overview
10.6.2 Financial
10.6.3 Products/ Services Offered
10.6.4 SWOT Analysis
10.7 Fortna Inc.
10.7.1 Company Overview
10.7.2 Financial
10.7.3 Products/ Services Offered
10.7.4 SWOT Analysis
10.8 Locus Robotics
10.8.1 Company Overview
10.8.2 Financial
10.8.3 Products/ Services Offered
10.8.4 SWOT Analysis
10.9 Teradyne Inc.
10.9.1 Company Overview
10.9.2 Financial
10.9.3 Products/ Services Offered
10.9.4 SWOT Analysis
10.10 OMRON Corporation
10.9.1 Company Overview
10.9.2 Financial
10.9.3 Products/ Services Offered
10.9.4 SWOT Analysis
11. Use Cases and Best Practices
12. Conclusion
An accurate research report requires proper strategizing as well as implementation. There are multiple factors involved in the completion of good and accurate research report and selecting the best methodology to compete the research is the toughest part. Since the research reports we provide play a crucial role in any company’s decision-making process, therefore we at SNS Insider always believe that we should choose the best method which gives us results closer to reality. This allows us to reach at a stage wherein we can provide our clients best and accurate investment to output ratio.
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The 5 steps process:
Step 1: Secondary Research:
Secondary Research or Desk Research is as the name suggests is a research process wherein, we collect data through the readily available information. In this process we use various paid and unpaid databases which our team has access to and gather data through the same. This includes examining of listed companies’ annual reports, Journals, SEC filling etc. Apart from this our team has access to various associations across the globe across different industries. Lastly, we have exchange relationships with various university as well as individual libraries.
Step 2: Primary Research
When we talk about primary research, it is a type of study in which the researchers collect relevant data samples directly, rather than relying on previously collected data. This type of research is focused on gaining content specific facts that can be sued to solve specific problems. Since the collected data is fresh and first hand therefore it makes the study more accurate and genuine.
We at SNS Insider have divided Primary Research into 2 parts.
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This step involves the triangulation of data wherein our team analyses the interview transcripts, online survey responses and observation of on filed participants. The below mentioned chart should give a better understanding of the part 1 of the primary interview.
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Key Segments:
By Type
Autonomous Mobile Picking Robots
Automated Forklifts
Autonomous Inventory Robots
Aerial Inventory Robots
By Applications
Retail & eCommerce
Healthcare & Pharmaceuticals
Food & Beverages
Consumer Electronics
Automotive
Others
Request for Segment Customization as per your Business Requirement: Segment Customization Request
REGIONAL COVERAGE:
North America
US
Canada
Mexico
Europe
Eastern Europe
Poland
Romania
Hungary
Turkey
Rest of Eastern Europe
Western Europe
Germany
France
UK
Italy
Spain
Netherlands
Switzerland
Austria
Rest of Western Europe
Asia-Pacific
China
India
Japan
South Korea
Vietnam
Singapore
Australia
Rest of Asia-Pacific
Middle East & Africa
Middle East
UAE
Egypt
Saudi Arabia
Qatar
Rest of the Middle East
Africa
Nigeria
South Africa
Rest of Africa
Latin America
Brazil
Argentina
Colombia
Request for Country Level Research Report: Country Level Customization Request
Available Customization
With the given market data, SNS Insider offers customization as per the company’s specific needs. The following customization options are available for the report:
Product Analysis
Criss-Cross segment analysis (e.g. Product X Application)
Product Matrix which gives a detailed comparison of the product portfolio of each company
Geographic Analysis
Additional countries in any of the regions
Company Information
Detailed analysis and profiling of additional market players (Up to five)
The Wafer Cleaning Equipment Market size was USD 9.20 Billion in 2023 and will reach $18.84 billion till the end of year2032 with CAGR of 5.43% by 2024-2032
The AI Chip Market Size was valued at USD 61.45 Billion in 2023 and is estimated to reach USD 621.15 Billion by 2032, at a CAGR of 29.4% from 2024 to 2032.
The Thermal Camera Market Size was valued at USD 3.86 Billion in 2023 and is expected to grow at a CAGR of 6.44% to reach USD 6.76 Billion by 2032.
The Office Peripherals and Products Market Size valued at USD 42.45 Billion in 2023 and is expected to grow at 5.85% CAGR to reach USD 70.50 Billion by 2032
The Instrument Cluster Market size was valued at USD 10.9 billion in 2023 and is expected to grow to USD 15.8 billion by 2032 and grow at a CAGR Of 4.2 % over the forecast period of 2024-2032.
The Electronic Flight Bag Market Size was valued at USD 2.78 billion in 2023 and is expected to reach USD 4.73 billion by 2032 and grow at a CAGR of 6.1% over the forecast period 2024-2032.
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