[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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