[250 Pages Report] The autonomous mobile robots for logistics and warehousing market is likely to register a CAGR of 22.7% during the forecast period and is anticipated to reach a market share of US$ ~17 Bn in 2032, from US$ 2.42 Bn in 2022.
The demand for supply chain management continues to rise as the major retail and e-commerce giants are expanding their business operations globally.
With this trend, there is a corresponding rise in demand for autonomous mobile robots for logistics and warehousing and sales of autonomous mobile robots for logistics and warehousing to fulfil logistics and delivery, which employs a large workforce to manage these services.
| Attributes | Details |
|---|---|
| Autonomous Mobile Robots for Logistics and Warehousing Market (CAGR) | 22.7 % |
| Autonomous Mobile Robots for Logistics and Warehousing Market (2021) | USD 1.97 billion |
| Autonomous Mobile Robots for Logistics and Warehousing Market (2032) | USD ~17 billion |
Manual labour is cost-intensive and involves huge investments for retailers. Hence, there has been a growing demand for autonomous mobile robots for logistics and warehousing applications.
The autonomous mobile robots (AMRs) deployment has drastically changed the logistics and warehousing landscape. Retailers are integrating these autonomous mobile robots into their traditional warehousing applications to automate the material handling processes.
These autonomous mobile robots are cost-effective as they drastically reduce the in-house transportation time, automate material handling with zero-defect production, improve safety and thus reduce the overall labour cost.
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“Increasing Demand for Logistics & Warehouse Automation”
A few years ago, the logistics and warehouse operations and processes were carried out manually, employing thousands of workers for material handling and carrying out in-house logistics operations.
As the supply-chain industry flourished globally in the past few years, there has been a huge demand for autonomous mobile robots for logistics and warehousing and sales of autonomous mobile robots for logistics and warehousing operations to improve order fulfilment and in-house distribution of goods with the ultimate goal to reduce the labour costs.
The adoption of autonomous mobile robots for logistics and warehousing has solved many problems posed by the booming supply-chain demands.
Autonomous mobile robots for logistics and warehousing manufacturers are collaborating with warehouse operations for automated inventory handling and movement, tracking and locating materials within the warehouse facilities, freeing the human workforce from such time-consuming processes and thus improving the material handling efficiency within the warehouses.
The Asia Pacific is estimated to be a highly lucrative region in autonomous mobile robots for logistics and warehousing market share. The autonomous mobile robots for logistics and warehousing market share and eCommerce are growing at a lightning pace within the Asia Pacific countries such as China, India, and South-East Asia.
The significant growth demand for autonomous mobile robots for logistics and warehousing’s massive investment into warehouse automation via the deployment of autonomous mobile robots fulfils the demand for the labour shortage and improves material handling operations to drive scalability, reliability, and efficiency.
In growing economies like India, the autonomous mobile robots for the logistics and warehousing market and the sales of autonomous mobile robots for logistics and warehousing are booming at an unprecedented rate and are estimated to attract nearly $10 billion in investments in the next 5 years.
To address this huge investment and supply chain demand for autonomous mobile robots for logistics and warehousing, the logistics and warehouse operations are shifting from manual to automated operations through the deployment of sales of autonomous mobile robots for logistics and warehousing for effective material handling.
Principal Consultant
“Rapid growth in the e-commerce Industry globally.”
The e-commerce industry worldwide is growing at a breakneck pace. The global e-commerce sales of autonomous mobile robots for logistics and warehousing were valued at $2.4 trillion in 2017 and are estimated to be nearly $3.0 trillion by 2018, with US and China dominating the global e-commerce segment of autonomous mobile robots for the logistics and warehousing market.
Due to this ever-growing e-commerce trend, retailers are facing challenges such as a shortage of labour for warehouse management, complicated order fulfilment processes, and more. Logistics and warehouse automation technologies such as autonomous mobile robots have made tremendous developments in recent years to overcome these supply-demand challenges.
Key players in the autonomous mobile robots for logistics and warehousing market share are focusing on strategic collaboration and partnerships with major retailers as well as product innovations and developments for sustained business growth.
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| Report Attribute | Details |
|---|---|
| Growth rate | CAGR of 22.7% from 2022 to 2030 |
| Base year for estimation | 2021 |
| Historical data | 2015 - 2020 |
| Forecast period | 2022 - 2032 |
| Quantitative units | Revenue in USD Million and CAGR from 2022 to 2032 |
| Report coverage | Revenue forecast, volume forecast, company ranking, competitive landscape, growth factors, and trends, Pricing Analysis |
| Segments covered | Product, application, region |
| Regional scope | North America; Western Europe, Eastern Europe, Middle East, Africa, ASEAN, South Asia, Rest of Asia, Australia and New Zealand |
| Country scope | U.S.; Canada; Mexico; Germany; U.K.; France; Italy; Spain; Russia; Belgium; Poland; Czech Republic; China; India; Japan; Australia; Brazil; Argentina; Colombia; Saudi Arabia; UAE; Iran; South Africa |
| Key companies profiled | Kuka AG, Teradyne, Inc., Clearpath Robotics, Inc., Grey Orange Pte. Ltd., Swisslog Holding AG, K. Hartwall Oy AB, Boston Dynamics, Inc., Harvest Automation, Inc., inVia Robotics, Inc., and Omron Adept Technology, Inc. |
| Customization scope | Free report customization (equivalent to up to 8 analysts working days) with purchase. Addition or alteration to country, regional & segment scope. |
| Pricing and purchase options | Avail customized purchase options to meet your exact research needs. |
The autonomous mobile robots for logistics and warehousing market share are likely to register a CAGR of 22.7% during the forecast period.
Key players holding substantial autonomous mobile robots for logistics and warehousing market share include Material Handling Systems., Fetch Robotics, Inc., IAM Robotics, NextShift Robotics, Stanley Robotics, Robotnik, SESTO Robotics, HAHN Robotics GmbH, Vecna Robotics, AutoGuide Mobile Robots, Robotics.
As per the analysis, the autonomous mobile robots for logistics and warehousing market share are likely to be US$ 8.7 Bn by 2032.
Due to the exponential growth of the sales of autonomous mobile robots for logistics and warehousing, warehouse and distribution centre operators may now focus on improving their operational workflow from manual to automate to satisfy shifting consumer buying trends.
1. Executive Summary 1.1. Global Market Outlook 1.2. Demand-side Trends 1.3. Supply-side Trends 1.4. Technology Roadmap Analysis 1.5. Analysis and Recommendations 2. Market Overview 2.1. Market Coverage / Taxonomy 2.2. Market Definition / Scope / Limitations 3. Market Background 3.1. Market Dynamics 3.1.1. Drivers 3.1.2. Restraints 3.1.3. Opportunity 3.1.4. Trends 3.2. Scenario Forecast 3.2.1. Demand in Optimistic Scenario 3.2.2. Demand in Likely Scenario 3.2.3. Demand in Conservative Scenario 3.3. Opportunity Map Analysis 3.4. Investment Feasibility Matrix 3.5. Value Chain Analysis 3.5.1. Profit Margin Analysis 3.5.2. Service Providers 3.6. PESTLE and Porter’s Analysis 3.7. Regulatory Landscape 3.7.1. By Key Regions 3.7.2. By Key Countries 3.8. Regional Parent Market Outlook 4. Global Autonomous Mobile Robots for Logistics and Warehousing Market Analysis 2017-2021 and Forecast, 2022-2032 4.1. Historical Market Size Value (US$ Mn) Analysis, 2017-2021 4.2. Current and Future Market Size Value (US$ Mn) Projections, 2022-2032 4.2.1. Y-o-Y Growth Trend Analysis 4.2.2. Absolute $ Opportunity Analysis 5. Global Autonomous Mobile Robots for Logistics and Warehousing Market Analysis 2017-2021 and Forecast 2022-2032, By Solution 5.1. Introduction / Key Findings 5.2. Historical Market Size Value (US$ Mn) Analysis By Solution, 2017-2021 5.3. Current and Future Market Size Value (US$ Mn) Analysis and Forecast By Solution, 2022-2032 5.3.1. Hardware 5.3.2. Software 5.3.3. Services 5.4. Y-o-Y Growth Trend Analysis By Solution, 2017-2021 5.5. Absolute $ Opportunity Analysis By Solution, 2022-2032 Deep-dive segmentation will be available in the sample on request 6. Global Autonomous Mobile Robots for Logistics and Warehousing Market Analysis 2017-2021 and Forecast 2022-2032, By Category 6.1. Introduction / Key Findings 6.2. Historical Market Size Value (US$ Mn) Analysis By Category, 2017-2021 6.3. Current and Future Market Size Value (US$ Mn) Analysis and Forecast By Category, 2022-2032 6.3.1. Goods-to-Person Picking Robots 6.3.2. Self-driving Forklifts 6.3.3. Inventory Management Robots 6.3.4. Unmanned Aerial Vehicles 6.3.5. Data Collection Robots 6.4. Y-o-Y Growth Trend Analysis By Category, 2017-2021 6.5. Absolute $ Opportunity Analysis By Category, 2022-2032 Deep-dive segmentation will be available in the sample on request 7. Global Autonomous Mobile Robots for Logistics and Warehousing Market Analysis 2017-2021 and Forecast 2022-2032, By Application 7.1. Introduction / Key Findings 7.2. Historical Market Size Value (US$ Mn) Analysis By Application, 2017-2021 7.3. Current and Future Market Size Value (US$ Mn) Analysis and Forecast By Application, 2022-2032 7.3.1. Direct-from-Pallet Fulfillment 7.3.2. Inbound and Outbound Automation 7.3.3. Each Picking - Individual Item Picking 7.3.4. Sortation 7.3.5. Center Handling 7.3.6. Induction of Palletized Goods 7.3.7. Built to Order Pallet 7.3.8. Order Fulfillment 7.3.9. Robotic Truck Loading 7.3.10. Reverse Logistics Handling 7.4. Y-o-Y Growth Trend Analysis By Application, 2017-2021 7.5. Absolute $ Opportunity Analysis By Application, 2022-2032 Deep-dive segmentation will be available in the sample on request 8. Global Autonomous Mobile Robots for Logistics and Warehousing Market Analysis 2017-2021 and Forecast 2022-2032, By End-use 8.1. Introduction / Key Findings 8.2. Historical Market Size Value (US$ Mn) Analysis By End-use, 2017-2021 8.3. Current and Future Market Size Value (US$ Mn) Analysis and Forecast By End-use, 2022-2032 8.3.1. Warehouses 8.3.2. Fulfillment Centers 8.3.3. Distribution Centers 8.3.4. Fleet Management 8.4. Y-o-Y Growth Trend Analysis By End-use, 2017-2021 8.5. Absolute $ Opportunity Analysis By End-use, 2022-2032 Deep-dive segmentation will be available in the sample on request 9. Global Autonomous Mobile Robots for Logistics and Warehousing Market Analysis 2017-2021 and Forecast 2022-2032, By Region 9.1. Introduction 9.2. Historical Market Size Value (US$ Mn) Analysis By Region, 2017-2021 9.3. Current Market Size Value (US$ Mn) Analysis and Forecast By Region, 2022-2032 9.3.1. North America 9.3.2. Latin America 9.3.3. Europe 9.3.4. East Asia 9.3.5. South Asia & Pacific 9.3.6. MEA 9.4. Market Attractiveness Analysis By Region 10. North America Autonomous Mobile Robots for Logistics and Warehousing Market Analysis 2017-2021 and Forecast 2022-2032, By Country 10.1. Historical Market Size Value (US$ Mn) Trend Analysis By Market Taxonomy, 2017-2021 10.2. Market Size Value (US$ Mn) Forecast By Market Taxonomy, 2022-2032 10.2.1. By Country 10.2.1.1. U.S. 10.2.1.2. Canada 10.2.2. By Solution 10.2.3. By Category 10.2.4. By Application 10.2.5. By End-use 10.3. Market Attractiveness Analysis 10.3.1. By Country 10.3.2. By Solution 10.3.3. By Category 10.3.4. By Application 10.3.5. By End-use 10.4. Key Takeaways 11. Latin America Autonomous Mobile Robots for Logistics and Warehousing Market Analysis 2017-2021 and Forecast 2022-2032, By Country 11.1. Historical Market Size Value (US$ Mn) Trend Analysis By Market Taxonomy, 2017-2021 11.2. Market Size Value (US$ Mn) Forecast By Market Taxonomy, 2022-2032 11.2.1. By Country 11.2.1.1. Mexico 11.2.1.2. Brazil 11.2.1.3. Rest of Latin America 11.2.2. By Solution 11.2.3. By Category 11.2.4. By Application 11.2.5. By End-use 11.3. Market Attractiveness Analysis 11.3.1. By Country 11.3.2. By Solution 11.3.3. By Category 11.3.4. By Application 11.3.5. By End-use 11.4. Key Takeaways 12. Europe Autonomous Mobile Robots for Logistics and Warehousing Market Analysis 2017-2021 and Forecast 2022-2032, By Country 12.1. Historical Market Size Value (US$ Mn) Trend Analysis By Market Taxonomy, 2017-2021 12.2. Market Size Value (US$ Mn) Forecast By Market Taxonomy, 2022-2032 12.2.1. By Country 12.2.1.1. Germany 12.2.1.2. Italy 12.2.1.3. France 12.2.1.4. U.K. 12.2.1.5. Spain 12.2.1.6. BENELUX 12.2.1.7. Russia 12.2.1.8. Rest of Europe 12.2.2. By Solution 12.2.3. By Category 12.2.4. By Application 12.2.5. By End-use 12.3. Market Attractiveness Analysis 12.3.1. By Country 12.3.2. By Solution 12.3.3. By Category 12.3.4. By Application 12.3.5. By End-use 12.4. Key Takeaways 13. East Asia Autonomous Mobile Robots for Logistics and Warehousing Market Analysis 2017-2021 and Forecast 2022-2032, By Country 13.1. Historical Market Size Value (US$ Mn) Trend Analysis By Market Taxonomy, 2017-2021 13.2. Market Size Value (US$ Mn) Forecast By Market Taxonomy, 2022-2032 13.2.1. By Country 13.2.1.1. China 13.2.1.2. Japan 13.2.1.3. South Korea 13.2.2. By Solution 13.2.3. By Category 13.2.4. By Application 13.2.5. By End-use 13.3. Market Attractiveness Analysis 13.3.1. By Country 13.3.2. By Solution 13.3.3. By Category 13.3.4. By Application 13.3.5. By End-use 13.4. Key Takeaways 14. South Asia & Pacific Autonomous Mobile Robots for Logistics and Warehousing Market Analysis 2017-2021 and Forecast 2022-2032, By Country 14.1. Historical Market Size Value (US$ Mn) Trend Analysis By Market Taxonomy, 2017-2021 14.2. Market Size Value (US$ Mn) Forecast By Market Taxonomy, 2022-2032 14.2.1. By Country 14.2.1.1. India 14.2.1.2. ASEAN 14.2.1.3. Australia and New Zealand 14.2.1.4. Rest of South Asia & Pacific 14.2.2. By Solution 14.2.3. By Category 14.2.4. By Application 14.2.5. By End-use 14.3. Market Attractiveness Analysis 14.3.1. By Country 14.3.2. By Solution 14.3.3. By Category 14.3.4. By Application 14.3.5. By End-use 14.4. Key Takeaways 15. MEA Autonomous Mobile Robots for Logistics and Warehousing Market Analysis 2017-2021 and Forecast 2022-2032, By Country 15.1. Historical Market Size Value (US$ Mn) Trend Analysis By Market Taxonomy, 2017-2021 15.2. Market Size Value (US$ Mn) Forecast By Market Taxonomy, 2022-2032 15.2.1. By Country 15.2.1.1. GCC Countries 15.2.1.2. Turkey 15.2.1.3. South Africa 15.2.1.4. Rest of MEA 15.2.2. By Solution 15.2.3. By Category 15.2.4. By Application 15.2.5. By End-use 15.3. Market Attractiveness Analysis 15.3.1. By Country 15.3.2. By Solution 15.3.3. By Category 15.3.4. By Application 15.3.5. By End-use 15.4. Key Takeaways 16. Key Countries Autonomous Mobile Robots for Logistics and Warehousing Market Analysis 16.1. U.S. 16.1.1. Pricing Analysis 16.1.2. Market Share Analysis, 2021 16.1.2.1. By Solution 16.1.2.2. By Category 16.1.2.3. By Application 16.1.2.4. By End-use 16.2. Canada 16.2.1. Pricing Analysis 16.2.2. Market Share Analysis, 2021 16.2.2.1. By Solution 16.2.2.2. By Category 16.2.2.3. By Application 16.2.2.4. By End-use 16.3. Mexico 16.3.1. Pricing Analysis 16.3.2. Market Share Analysis, 2021 16.3.2.1. By Solution 16.3.2.2. By Category 16.3.2.3. By Application 16.3.2.4. By End-use 16.4. Brazil 16.4.1. Pricing Analysis 16.4.2. Market Share Analysis, 2021 16.4.2.1. By Solution 16.4.2.2. By Category 16.4.2.3. By Application 16.4.2.4. By End-use 16.5. Germany 16.5.1. Pricing Analysis 16.5.2. Market Share Analysis, 2021 16.5.2.1. By Solution 16.5.2.2. By Category 16.5.2.3. By Application 16.5.2.4. By End-use 16.6. Italy 16.6.1. Pricing Analysis 16.6.2. Market Share Analysis, 2021 16.6.2.1. By Solution 16.6.2.2. By Category 16.6.2.3. By Application 16.6.2.4. By End-use 16.7. France 16.7.1. Pricing Analysis 16.7.2. Market Share Analysis, 2021 16.7.2.1. By Solution 16.7.2.2. By Category 16.7.2.3. By Application 16.7.2.4. By End-use 16.8. U.K. 16.8.1. Pricing Analysis 16.8.2. Market Share Analysis, 2021 16.8.2.1. By Solution 16.8.2.2. By Category 16.8.2.3. By Application 16.8.2.4. By End-use 16.9. Spain 16.9.1. Pricing Analysis 16.9.2. Market Share Analysis, 2021 16.9.2.1. By Solution 16.9.2.2. By Category 16.9.2.3. By Application 16.9.2.4. By End-use 16.10. BENELUX 16.10.1. Pricing Analysis 16.10.2. Market Share Analysis, 2021 16.10.2.1. By Solution 16.10.2.2. By Category 16.10.2.3. By Application 16.10.2.4. By End-use 16.11. Russia 16.11.1. Pricing Analysis 16.11.2. Market Share Analysis, 2021 16.11.2.1. By Solution 16.11.2.2. By Category 16.11.2.3. By Application 16.11.2.4. By End-use 16.12. China 16.12.1. Pricing Analysis 16.12.2. Market Share Analysis, 2021 16.12.2.1. By Solution 16.12.2.2. By Category 16.12.2.3. By Application 16.12.2.4. By End-use 16.13. Japan 16.13.1. Pricing Analysis 16.13.2. Market Share Analysis, 2021 16.13.2.1. By Solution 16.13.2.2. By Category 16.13.2.3. By Application 16.13.2.4. By End-use 16.14. South Korea 16.14.1. Pricing Analysis 16.14.2. Market Share Analysis, 2021 16.14.2.1. By Solution 16.14.2.2. By Category 16.14.2.3. By Application 16.14.2.4. By End-use 16.15. India 16.15.1. Pricing Analysis 16.15.2. Market Share Analysis, 2021 16.15.2.1. By Solution 16.15.2.2. By Category 16.15.2.3. By Application 16.15.2.4. By End-use 16.16. ASEAN 16.16.1. Pricing Analysis 16.16.2. Market Share Analysis, 2021 16.16.2.1. By Solution 16.16.2.2. By Category 16.16.2.3. By Application 16.16.2.4. By End-use 16.17. Australia and New Zealand 16.17.1. Pricing Analysis 16.17.2. Market Share Analysis, 2021 16.17.2.1. By Solution 16.17.2.2. By Category 16.17.2.3. By Application 16.17.2.4. By End-use 16.18. GCC Countries 16.18.1. Pricing Analysis 16.18.2. Market Share Analysis, 2021 16.18.2.1. By Solution 16.18.2.2. By Category 16.18.2.3. By Application 16.18.2.4. By End-use 16.19. Turkey 16.19.1. Pricing Analysis 16.19.2. Market Share Analysis, 2021 16.19.2.1. By Solution 16.19.2.2. By Category 16.19.2.3. By Application 16.19.2.4. By End-use 16.20. South Africa 16.20.1. Pricing Analysis 16.20.2. Market Share Analysis, 2021 16.20.2.1. By Solution 16.20.2.2. By Category 16.20.2.3. By Application 16.20.2.4. By End-use 17. Market Structure Analysis 17.1. Competition Dashboard 17.2. Competition Benchmarking 17.3. Market Share Analysis of Top Players 17.3.1. By Regional 17.3.2. By Solution 17.3.3. By Category 17.3.4. By Application 17.3.5. By End-use 18. Competition Analysis 18.1. Competition Deep Dive 18.1.1. Fetch Robotics, Inc. 18.1.1.1. Overview 18.1.1.2. Product Portfolio 18.1.1.3. Profitability by Market Segments 18.1.1.4. Sales Footprint 18.1.1.5. Strategy Overview 18.1.1.5.1. Marketing Strategy 18.1.1.5.2. Product Strategy 18.1.1.5.3. Channel Strategy 18.1.2. ABB 18.1.2.1. Overview 18.1.2.2. Product Portfolio 18.1.2.3. Profitability by Market Segments 18.1.2.4. Sales Footprint 18.1.2.5. Strategy Overview 18.1.2.5.1. Marketing Strategy 18.1.2.5.2. Product Strategy 18.1.2.5.3. Channel Strategy 18.1.3. Clearpath Robotics Inc. 18.1.3.1. Overview 18.1.3.2. Product Portfolio 18.1.3.3. Profitability by Market Segments 18.1.3.4. Sales Footprint 18.1.3.5. Strategy Overview 18.1.3.5.1. Marketing Strategy 18.1.3.5.2. Product Strategy 18.1.3.5.3. Channel Strategy 18.1.4. Robotnik 18.1.4.1. Overview 18.1.4.2. Product Portfolio 18.1.4.3. Profitability by Market Segments 18.1.4.4. Sales Footprint 18.1.4.5. Strategy Overview 18.1.4.5.1. Marketing Strategy 18.1.4.5.2. Product Strategy 18.1.4.5.3. Channel Strategy 18.1.5. Denso Robotics 18.1.5.1. Overview 18.1.5.2. Product Portfolio 18.1.5.3. Profitability by Market Segments 18.1.5.4. Sales Footprint 18.1.5.5. Strategy Overview 18.1.5.5.1. Marketing Strategy 18.1.5.5.2. Product Strategy 18.1.5.5.3. Channel Strategy 18.1.6. Daifuku Co., Ltd. 18.1.6.1. Overview 18.1.6.2. Product Portfolio 18.1.6.3. Profitability by Market Segments 18.1.6.4. Sales Footprint 18.1.6.5. Strategy Overview 18.1.6.5.1. Marketing Strategy 18.1.6.5.2. Product Strategy 18.1.6.5.3. Channel Strategy 18.1.7. FANUC Corporation 18.1.7.1. Overview 18.1.7.2. Product Portfolio 18.1.7.3. Profitability by Market Segments 18.1.7.4. Sales Footprint 18.1.7.5. Strategy Overview 18.1.7.5.1. Marketing Strategy 18.1.7.5.2. Product Strategy 18.1.7.5.3. Channel Strategy 18.1.8. Hitachi Transport System, Ltd. 18.1.8.1. Overview 18.1.8.2. Product Portfolio 18.1.8.3. Profitability by Market Segments 18.1.8.4. Sales Footprint 18.1.8.5. Strategy Overview 18.1.8.5.1. Marketing Strategy 18.1.8.5.2. Product Strategy 18.1.8.5.3. Channel Strategy 18.1.9. Jungheinrich AG 18.1.9.1. Overview 18.1.9.2. Product Portfolio 18.1.9.3. Profitability by Market Segments 18.1.9.4. Sales Footprint 18.1.9.5. Strategy Overview 18.1.9.5.1. Marketing Strategy 18.1.9.5.2. Product Strategy 18.1.9.5.3. Channel Strategy 18.1.10. Kawasaki Heavy Industries, Ltd. 18.1.10.1. Overview 18.1.10.2. Product Portfolio 18.1.10.3. Profitability by Market Segments 18.1.10.4. Sales Footprint 18.1.10.5. Strategy Overview 18.1.10.5.1. Marketing Strategy 18.1.10.5.2. Product Strategy 18.1.10.5.3. Channel Strategy 18.1.11. KION GROUP AG 18.1.11.1. Overview 18.1.11.2. Product Portfolio 18.1.11.3. Profitability by Market Segments 18.1.11.4. Sales Footprint 18.1.11.5. Strategy Overview 18.1.11.5.1. Marketing Strategy 18.1.11.5.2. Product Strategy 18.1.11.5.3. Channel Strategy 18.1.12. Krones AG 18.1.12.1. Overview 18.1.12.2. Product Portfolio 18.1.12.3. Profitability by Market Segments 18.1.12.4. Sales Footprint 18.1.12.5. Strategy Overview 18.1.12.5.1. Marketing Strategy 18.1.12.5.2. Product Strategy 18.1.12.5.3. Channel Strategy 18.1.13. KUKA AG 18.1.13.1. Overview 18.1.13.2. Product Portfolio 18.1.13.3. Profitability by Market Segments 18.1.13.4. Sales Footprint 18.1.13.5. Strategy Overview 18.1.13.5.1. Marketing Strategy 18.1.13.5.2. Product Strategy 18.1.13.5.3. Channel Strategy 18.1.14. Mitsubishi Electric Corporation 18.1.14.1. Overview 18.1.14.2. Product Portfolio 18.1.14.3. Profitability by Market Segments 18.1.14.4. Sales Footprint 18.1.14.5. Strategy Overview 18.1.14.5.1. Marketing Strategy 18.1.14.5.2. Product Strategy 18.1.14.5.3. Channel Strategy 18.1.15. Murata Machinery, Ltd. 18.1.15.1. Overview 18.1.15.2. Product Portfolio 18.1.15.3. Profitability by Market Segments 18.1.15.4. Sales Footprint 18.1.15.5. Strategy Overview 18.1.15.5.1. Marketing Strategy 18.1.15.5.2. Product Strategy 18.1.15.5.3. Channel Strategy 18.1.16. Omron Corporation 18.1.16.1. Overview 18.1.16.2. Product Portfolio 18.1.16.3. Profitability by Market Segments 18.1.16.4. Sales Footprint 18.1.16.5. Strategy Overview 18.1.16.5.1. Marketing Strategy 18.1.16.5.2. Product Strategy 18.1.16.5.3. Channel Strategy 18.1.17. SSI Schaefer 18.1.17.1. Overview 18.1.17.2. Product Portfolio 18.1.17.3. Profitability by Market Segments 18.1.17.4. Sales Footprint 18.1.17.5. Strategy Overview 18.1.17.5.1. Marketing Strategy 18.1.17.5.2. Product Strategy 18.1.17.5.3. Channel Strategy 18.1.18. Swisslog Holding AG 18.1.18.1. Overview 18.1.18.2. Product Portfolio 18.1.18.3. Profitability by Market Segments 18.1.18.4. Sales Footprint 18.1.18.5. Strategy Overview 18.1.18.5.1. Marketing Strategy 18.1.18.5.2. Product Strategy 18.1.18.5.3. Channel Strategy 18.1.19. Toyota Material Handling 18.1.19.1. Overview 18.1.19.2. Product Portfolio 18.1.19.3. Profitability by Market Segments 18.1.19.4. Sales Footprint 18.1.19.5. Strategy Overview 18.1.19.5.1. Marketing Strategy 18.1.19.5.2. Product Strategy 18.1.19.5.3. Channel Strategy 18.1.20. Vanderlande Industries 18.1.20.1. Overview 18.1.20.2. Product Portfolio 18.1.20.3. Profitability by Market Segments 18.1.20.4. Sales Footprint 18.1.20.5. Strategy Overview 18.1.20.5.1. Marketing Strategy 18.1.20.5.2. Product Strategy 18.1.20.5.3. Channel Strategy 19. Assumptions & Acronyms Used 20. Research Methodology
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Autonomous Mobile Robots for Logistics and Warehousing Market
