REPORT SCOPE & OVERVIEW:
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The Logistics Robots Market size was valued at USD 8.39 billion in 2023 and is expected to reach USD 33.08 billion by 2032 and grow at a CAGR of 16.47% over the forecast period 2024-2032.
The logistics robots market has experienced substantial growth due to rapid advancements in automation technologies and a growing need for effective supply chain operations. These robots are created to increase efficiency, cut down on expenses, and boost precision in duties like choosing, organizing, and moving items in warehouses, distribution centers, and manufacturing plants. For instance, there has been substantial growth in the U.S. e-commerce sector in the past few years. E-commerce sales make up a significant share of this industry, comprising about 22% of all retail sales in the U.S. in 2023. The average order value for online shopping purchases was around USD 90 in the year 2023. Due to the rise in e-commerce, businesses are facing great demands to fulfill customer desires for quicker shipping, sometimes even on the same day. In order to fulfill these requirements, companies have been making significant investments in automation solutions, such as logistics robots.
Logistics robots are essential in just-in-time inventory systems within the manufacturing industry. Government funding in the manufacturing industry in the United States has been strong and diverse in the past few years, indicating a deliberate effort to rejuvenate and progress the sector. The Manufacturing USA institutes received more than USD 1 billion in funding from the federal government. The CHIPS and Science Act of 2022 is a notable recent investment, providing USD 52 billion for the development and research of semiconductors. This legislation seeks to enhance local semiconductor manufacturing and reinforce supply chains, demonstrating a commitment to advanced manufacturing industries. These systems depend on accurate timing and coordination to guarantee the delivery of components and materials to the production line at the exact moment required. Logistics robots streamline the transportation of items from warehouses to assembly lines, promoting efficient processes and reducing delays. Furthermore, these robots can manage dangerous substances or bulky objects, minimizing the potential for harm to human employees.
MARKET DYNAMICS
Drivers
Technological advancements in robotics technology, such as enhanced sensors, artificial intelligence, and machine learning.
The logistics robot market is growing due to factors such as technological upgradation in robotics technology, especially enhanced sensors, artificial intelligence (AI), and machine learning. Robots can now move more effectively within warehouses and distribution centers, working autonomously with greater flexibility thanks to also improved sensors. With these sensors, the creations can detect obstacles and, in some cases, get feedback on their surroundings at runtime to adapt accordingly, thus reducing human oversight while minimizing error.
Logistics robots now come equipped with AI and machine learning tools, enhancing their ability to remember past events and adjust over time. Using AI-driven algorithms, robots can perform logical decisions related to dynamic environments like sorting or picking and mobility of goods faster and more accurately. These robots learn from every completed task, in areas Machine Learning comes into play to optimize performance by using data extracted from previous work executed and thus refine strategies for operations that are yet scheduled. This makes the processes of logistics robots more adjustable to different requirements and operational aspects.
Logistics robots boost operational efficiency and cost savings by automating processes.
Logistics robots can automate a large number of processes, which were previously handled by human labor directly to provide benefits in terms of operational efficiency and cost savings for the logistics industry. These robots optimise a set of workflows including inventory management, sorting, packing and transport, allowing for faster and more accurate operations. Because logistics robots eliminate the human factor, they are less prone to mistakes that might happen due to tiredness or simply missing something and increase precision when it comes down to issues like picking orders fast enough and keeping inventories in line.
Moreover, the installation of logistics robots for automation helps to work 24 hours a day as these is not associated with human job timings, and hence productivity will be improved. This is something important in a high-demand environment like e-commerce where both speed and accuracy are critical to customer satisfaction.
Restraints
Integrating logistics robots into current supply chain and warehouse management systems can be difficult and time-consuming.
Incorporating logistics robots into current supply chain and warehouse management systems is a major hurdle for companies wanting to implement automation. One of the primary challenges is the intricate process of coordinating robots with existing workflows and infrastructure. Numerous warehouses and distribution centers function with a range of outdated systems, each having distinct software and hardware setups. Custom software development, reconfiguration of operations, and staff training are often necessary for logistics robots to function efficiently due to requiring precise coordination with these systems. This procedure may require a significant amount of time and resources, particularly for companies that lack technical knowledge or the ability to handle the change.
Moreover, the expense of incorporating these robots into existing processes may be too high. Aside from the initial cost of the robots, businesses need to consider the costs linked with installing them, upgrading the system, and any possible disruptions during the integration process. Additionally, it can be challenging to achieve smooth communication between robots and other supply chain components, especially when current systems are old or don't work well with robotic software.
By Type
In 2023, Automated guided vehicles (AGVs) dominated the market with a share of more than 41% due to their dependable and consistent performance. AGVs are confined to set routes, whereas AMRs are adaptable, causing the rise and fast growth of AMRs. AMRs' strong market position and projected growth are driven by their ability to be agile and scalable in a variety of logistics applications.
Autonomous Mobile Robots (AMRs) are forecasted to experience a fast growth rate over the period 2024-2032. AMRs are greatly preferred for their versatility and capacity to navigate intricate environments independently, making them well-suited for warehouse automation and material transportation. The rapid increase in online shopping and the need for fast shipping options has driven the expansion of this industry. AMRs provide great efficiency, cutting operational expenses and enhancing productivity, making them an essential choice for businesses aiming to streamline their logistics.
By Application
Palletizing & De-palletizing dominated the market with a market share exceeding 40% in 2023. This automates the process of stacking and unstacking products on pallets to increase efficiency in warehouses and distribution centers. The growth of online shopping and increased shipping demands have made this sector essential for cutting labor expenses, guaranteeing precision, and enhancing efficiency in goods management.
Pick & Place is forecasted to experience the highest rate of growth during 2024-2032. This app includes robots picking and placing items in warehouses, a key job in sectors such as retail and production. The increasing need for quicker order fulfillment, driven by customers' desire for speedy delivery, has sped up the integration of pick-and-place robots.
By Industry
The E-commerce industry dominated the market in 2023 with a market share of around 39%, due to the rapid expansion of online shopping and the increasing demand for efficient order fulfillment. Logistics robots are widely used in warehouses to automate tasks such as picking, sorting, and packaging, which helps to speed up delivery times and reduce operational costs. As e-commerce giants like Amazon and Alibaba scale their operations, the demand for logistics robots continues to surge.
The Healthcare sector is considered to be the fastest-growing segment in the logistics robots market during the forecast period. With the rise in demand for efficient handling of medical supplies, pharmaceuticals, and equipment, hospitals and healthcare facilities are increasingly adopting robots to ensure timely delivery and inventory management. The COVID-19 pandemic has further accelerated this growth by highlighting the importance of automation in healthcare logistics to minimize human contact and ensure safety, fueling investments in robotic solutions within this industry.
North America gained a significant market share, exceeding 35% in 2023, due to its embrace of advanced technology, significant investment in automation, and highly developed infrastructure. The United States and Canada both have many advanced warehouses and distribution centers that use robotics to improve how they operate. Leading companies such as Amazon and Walmart are making significant investments in robotic technology for logistics to improve the efficiency of their supply chains. The technological skills, thriving economy, and expensive labor in the region also drive the need for automation.
The Asia-Pacific (APAC) region is accounted to grow at a faster CAGR during the forecast period 2024-2032, driven by fast-paced industrialization, urbanization, and the expansion of e-commerce. Nations such as China, Japan, and South Korea are making significant investments in robotics to update their logistics and supply chain activities. The area enjoys cost savings on labor, an expanding tech-savvy labor force, and government efforts backing automation. The implementation of logistics robots is being driven by China's Belt and Road Initiative and Japan's emphasis on Industry 4.0.
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The major Key players are ABB Ltd, KUKA AG, Toyota Industries Corporation, Fanuc Corporation, Yaskawa Electric Corporation, Kion Group Ag, Toshiba Corporation, Krones AG, Kawasaki Heavy Industries Ltd., Omron Corporation, and Other Players.
RECENT DEVELOPMENT
In March 2024, Anyware Robotics introduced an add-on for its Pixmo robot, designed to aid in truck and container unloading. The accessory features a vertical lift and conveyor belt for enhanced efficiency.
In March 2024, Mobile Industrial Robots unveiled the MiR1200, an autonomous pallet jack using 3D vision and AI for precise pallet handling. It was showcased at LogiMAT 2024.
| Report Attributes | Details |
|---|---|
| Market Size in 2023 | USD 8.39 Billion |
| Market Size by 2032 | USD 33.08 Billion |
| CAGR | CAGR of 16.47% 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 (Automated Guided Vehicles, Autonomous Mobile Robots, Robot Arms, Others (UAVs)) • By Application (Palletizing & De-palletizing, Pick & Place, Transportation, Others (Shipment & Delivery)) • By Industry (E-commerce, Healthcare, Retail, Food & Beverages, Automotive, Others (Consumer Electronics)) |
| 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 | ABB Ltd, KUKA AG, Toyota Industries Corporation, Fanuc Corporation, Yaskawa Electric Corporation, Kion Group Ag, Toshiba Corporation, Krones AG, Kawasaki Heavy Industries Ltd., Omron Corporation |
| Key Drivers | • Technological advancements in robotics technology, such as enhanced sensors, artificial intelligence, and machine learning. • Logistics robots boost operational efficiency and cost savings by automating processes. |
| Restraints | • Integrating logistics robots into current supply chain and warehouse management systems can be difficult and time-consuming. |
Ans: The Logistics Robots Market is expected to grow at a CAGR of 16.47%.
Ans: Logistics Robots Market size was USD 8.39 billion in 2023 and is expected to reach USD 33.08 billion by 2032.
Ans: Technological advancements in robotics technology, such as enhanced sensors, artificial intelligence, and machine learning are driving the Logistics Robots Market.
Ans: The Palletizing & De-palletizing segment by communication is dominating the Logistics Robots Market.
Ans: North America dominated the Logistics Robots Market in 2023.
TABLE OF CONTENTS
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
4.1.1 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 Manufacturing Output, by Region, (2020-2023)
5.2 Utilization Rates, by Region, (2020-2023)
5.3 Maintenance and Downtime Metrix
5.4 Technological Adoption Rates, by Region
5.5 Export/Import Data, by Region (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. Logistics Robots Market Segmentation, by Type
7.1 Chapter Overview
7.2 Automated Guided Vehicles
7.2.1 Automated Guided Vehicles Market Trends Analysis (2020-2032)
7.2.2 Automated Guided Vehicles Market Size Estimates and Forecasts to 2032 (USD Million)
7.3 Autonomous Mobile Robots
7.3.1 Autonomous Mobile Robots Market Trends Analysis (2020-2032)
7.3.2 Autonomous Mobile Robots Market Size Estimates and Forecasts to 2032 (USD Million)
7.4 Robot Arms
7.4.1 Robot Arms Market Trends Analysis (2020-2032)
7.4.2 Robot Arms Market Size Estimates and Forecasts to 2032 (USD Million)
7.5 Others (UAVs)
7.5.1 Others (UAVs) Market Trends Analysis (2020-2032)
7.5.2 Others (UAVs) Market Size Estimates and Forecasts to 2032 (USD Million)
8. Logistics Robots Market Segmentation, by Application
8.1 Chapter Overview
8.2 Palletizing & De-palletizing
8.2.1 Palletizing & De-palletizing Market Trends Analysis (2020-2032)
8.2.2 Palletizing & De-palletizing Market Size Estimates and Forecasts to 2032 (USD Million)
8.3 Pick & Place
8.3.1 Pick & Place Market Trends Analysis (2020-2032)
8.3.2 Pick & Place Market Size Estimates and Forecasts to 2032 (USD Million)
8.4 Transportation
8.4.1 Transportation Market Trends Analysis (2020-2032)
8.4.2 Transportation Market Size Estimates and Forecasts to 2032 (USD Million)
8.5 Others (Shipment & Delivery)
8.5.1 Others (Shipment & Delivery) Market Trends Analysis (2020-2032)
8.5.2 Others (Shipment & Delivery) Market Size Estimates and Forecasts to 2032 (USD Million)
9. Logistics Robots Market Segmentation, by Industry
9.1 Chapter Overview
9.2 E-commerce
9.2.1 E-commerce Market Trends Analysis (2020-2032)
9.2.2 E-commerce Market Size Estimates and Forecasts to 2032 (USD Million)
9.3 Healthcare
9.3.1 Healthcare Market Trends Analysis (2020-2032)
9.3.2 Healthcare Market Size Estimates and Forecasts to 2032 (USD Million)
9.4 Retail
9.4.1 Retail Market Trends Analysis (2020-2032)
9.4.2 Retail Market Size Estimates and Forecasts to 2032 (USD Million)
9.5 Food & Beverages
9.5.1 Food & Beverages Market Trends Analysis (2020-2032)
9.5.2 Food & Beverages Market Size Estimates and Forecasts to 2032 (USD Million)
9.6 Automotive
9.6.1 Automotive Market Trends Analysis (2020-2032)
9.6.2 Automotive Market Size Estimates and Forecasts to 2032 (USD Million)
9.7 Others (Consumer Electronics)
9.7.1 Others (Consumer Electronics) Market Trends Analysis (2020-2032)
9.7.2 Others (Consumer Electronics) Market Size Estimates and Forecasts to 2032 (USD Million)
10. Regional Analysis
10.1 Chapter Overview
10.2 North America
10.2.1 Trends Analysis
10.2.2 North America Logistics Robots Market Estimates and Forecasts, by Country (2020-2032) (USD Million)
10.2.3 North America Logistics Robots Market Estimates and Forecasts, by Type (2020-2032) (USD Million)
10.2.4 North America Logistics Robots Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.2.5 North America Logistics Robots Market Estimates and Forecasts, by Industry (2020-2032) (USD Million)
10.2.6 USA
10.2.6.1 USA Logistics Robots Market Estimates and Forecasts, by Type (2020-2032) (USD Million)
10.2.6.2 USA Logistics Robots Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.2.6.3 USA Logistics Robots Market Estimates and Forecasts, by Industry (2020-2032) (USD Million)
10.2.7 Canada
10.2.7.1 Canada Logistics Robots Market Estimates and Forecasts, by Type (2020-2032) (USD Million)
10.2.7.2 Canada Logistics Robots Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.2.7.3 Canada Logistics Robots Market Estimates and Forecasts, by Industry (2020-2032) (USD Million)
10.2.8 Mexico
10.2.8.1 Mexico Logistics Robots Market Estimates and Forecasts, by Type (2020-2032) (USD Million)
10.2.8.2 Mexico Logistics Robots Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.2.8.3 Mexico Logistics Robots Market Estimates and Forecasts, by Industry (2020-2032) (USD Million)
10.3 Europe
10.3.1 Eastern Europe
10.3.1.1 Trends Analysis
10.3.1.2 Eastern Europe Logistics Robots Market Estimates and Forecasts, by Country (2020-2032) (USD Million)
10.3.1.3 Eastern Europe Logistics Robots Market Estimates and Forecasts, by Type (2020-2032) (USD Million)
10.3.1.4 Eastern Europe Logistics Robots Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.3.1.5 Eastern Europe Logistics Robots Market Estimates and Forecasts, by Industry (2020-2032) (USD Million)
10.3.1.6 Poland
10.3.1.6.1 Poland Logistics Robots Market Estimates and Forecasts, by Type (2020-2032) (USD Million)
10.3.1.6.2 Poland Logistics Robots Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.3.1.6.3 Poland Logistics Robots Market Estimates and Forecasts, by Industry (2020-2032) (USD Million)
10.3.1.7 Romania
10.3.1.7.1 Romania Logistics Robots Market Estimates and Forecasts, by Type (2020-2032) (USD Million)
10.3.1.7.2 Romania Logistics Robots Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.3.1.7.3 Romania Logistics Robots Market Estimates and Forecasts, by Industry (2020-2032) (USD Million)
10.3.1.8 Hungary
10.3.1.8.1 Hungary Logistics Robots Market Estimates and Forecasts, by Type (2020-2032) (USD Million)
10.3.1.8.2 Hungary Logistics Robots Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.3.1.8.3 Hungary Logistics Robots Market Estimates and Forecasts, by Industry (2020-2032) (USD Million)
10.3.1.9 Turkey
10.3.1.9.1 Turkey Logistics Robots Market Estimates and Forecasts, by Type (2020-2032) (USD Million)
10.3.1.9.2 Turkey Logistics Robots Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.3.1.9.3 Turkey Logistics Robots Market Estimates and Forecasts, by Industry (2020-2032) (USD Million)
10.3.1.10 Rest of Eastern Europe
10.3.1.10.1 Rest of Eastern Europe Logistics Robots Market Estimates and Forecasts, by Type (2020-2032) (USD Million)
10.3.1.10.2 Rest of Eastern Europe Logistics Robots Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.3.1.10.3 Rest of Eastern Europe Logistics Robots Market Estimates and Forecasts, by Industry (2020-2032) (USD Million)
10.3.2 Western Europe
10.3.2.1 Trends Analysis
10.3.2.2 Western Europe Logistics Robots Market Estimates and Forecasts, by Country (2020-2032) (USD Million)
10.3.2.3 Western Europe Logistics Robots Market Estimates and Forecasts, by Type (2020-2032) (USD Million)
10.3.2.4 Western Europe Logistics Robots Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.3.2.5 Western Europe Logistics Robots Market Estimates and Forecasts, by Industry (2020-2032) (USD Million)
10.3.2.6 Germany
10.3.2.6.1 Germany Logistics Robots Market Estimates and Forecasts, by Type (2020-2032) (USD Million)
10.3.2.6.2 Germany Logistics Robots Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.3.2.6.3 Germany Logistics Robots Market Estimates and Forecasts, by Industry (2020-2032) (USD Million)
10.3.2.7 France
10.3.2.7.1 France Logistics Robots Market Estimates and Forecasts, by Type (2020-2032) (USD Million)
10.3.2.7.2 France Logistics Robots Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.3.2.7.3 France Logistics Robots Market Estimates and Forecasts, by Industry (2020-2032) (USD Million)
10.3.2.8 UK
10.3.2.8.1 UK Logistics Robots Market Estimates and Forecasts, by Type (2020-2032) (USD Million)
10.3.2.8.2 UK Logistics Robots Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.3.2.8.3 UK Logistics Robots Market Estimates and Forecasts, by Industry (2020-2032) (USD Million)
10.3.2.9 Italy
10.3.2.9.1 Italy Logistics Robots Market Estimates and Forecasts, by Type (2020-2032) (USD Million)
10.3.2.9.2 Italy Logistics Robots Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.3.2.9.3 Italy Logistics Robots Market Estimates and Forecasts, by Industry (2020-2032) (USD Million)
10.3.2.10 Spain
10.3.2.10.1 Spain Logistics Robots Market Estimates and Forecasts, by Type (2020-2032) (USD Million)
10.3.2.10.2 Spain Logistics Robots Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.3.2.10.3 Spain Logistics Robots Market Estimates and Forecasts, by Industry (2020-2032) (USD Million)
10.3.2.11 Netherlands
10.3.2.11.1 Netherlands Logistics Robots Market Estimates and Forecasts, by Type (2020-2032) (USD Million)
10.3.2.11.2 Netherlands Logistics Robots Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.3.2.11.3 Netherlands Logistics Robots Market Estimates and Forecasts, by Industry (2020-2032) (USD Million)
10.3.2.12 Switzerland
10.3.2.12.1 Switzerland Logistics Robots Market Estimates and Forecasts, by Type (2020-2032) (USD Million)
10.3.2.12.2 Switzerland Logistics Robots Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.3.2.12.3 Switzerland Logistics Robots Market Estimates and Forecasts, by Industry (2020-2032) (USD Million)
10.3.2.13 Austria
10.3.2.13.1 Austria Logistics Robots Market Estimates and Forecasts, by Type (2020-2032) (USD Million)
10.3.2.13.2 Austria Logistics Robots Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.3.2.13.3 Austria Logistics Robots Market Estimates and Forecasts, by Industry (2020-2032) (USD Million)
10.3.2.14 Rest of Western Europe
10.3.2.14.1 Rest of Western Europe Logistics Robots Market Estimates and Forecasts, by Type (2020-2032) (USD Million)
10.3.2.14.2 Rest of Western Europe Logistics Robots Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.3.2.14.3 Rest of Western Europe Logistics Robots Market Estimates and Forecasts, by Industry (2020-2032) (USD Million)
10.4 Asia Pacific
10.4.1 Trends Analysis
10.4.2 Asia Pacific Logistics Robots Market Estimates and Forecasts, by Country (2020-2032) (USD Million)
10.4.3 Asia Pacific Logistics Robots Market Estimates and Forecasts, by Type (2020-2032) (USD Million)
10.4.4 Asia Pacific Logistics Robots Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.4.5 Asia Pacific Logistics Robots Market Estimates and Forecasts, by Industry (2020-2032) (USD Million)
10.4.6 China
10.4.6.1 China Logistics Robots Market Estimates and Forecasts, by Type (2020-2032) (USD Million)
10.4.6.2 China Logistics Robots Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.4.6.3 China Logistics Robots Market Estimates and Forecasts, by Industry (2020-2032) (USD Million)
10.4.7 India
10.4.7.1 India Logistics Robots Market Estimates and Forecasts, by Type (2020-2032) (USD Million)
10.4.7.2 India Logistics Robots Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.4.7.3 India Logistics Robots Market Estimates and Forecasts, by Industry (2020-2032) (USD Million)
10.4.8 Japan
10.4.8.1 Japan Logistics Robots Market Estimates and Forecasts, by Type (2020-2032) (USD Million)
10.4.8.2 Japan Logistics Robots Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.4.8.3 Japan Logistics Robots Market Estimates and Forecasts, by Industry (2020-2032) (USD Million)
10.4.9 South Korea
10.4.9.1 South Korea Logistics Robots Market Estimates and Forecasts, by Type (2020-2032) (USD Million)
10.4.9.2 South Korea Logistics Robots Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.4.9.3 South Korea Logistics Robots Market Estimates and Forecasts, by Industry (2020-2032) (USD Million)
10.4.10 Vietnam
10.4.10.1 Vietnam Logistics Robots Market Estimates and Forecasts, by Type (2020-2032) (USD Million)
10.4.10.2 Vietnam Logistics Robots Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.4.10.3 Vietnam Logistics Robots Market Estimates and Forecasts, by Industry (2020-2032) (USD Million)
10.4.11 Singapore
10.4.11.1 Singapore Logistics Robots Market Estimates and Forecasts, by Type (2020-2032) (USD Million)
10.4.11.2 Singapore Logistics Robots Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.4.11.3 Singapore Logistics Robots Market Estimates and Forecasts, by Industry (2020-2032) (USD Million)
10.4.12 Australia
10.4.12.1 Australia Logistics Robots Market Estimates and Forecasts, by Type (2020-2032) (USD Million)
10.4.12.2 Australia Logistics Robots Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.4.12.3 Australia Logistics Robots Market Estimates and Forecasts, by Industry (2020-2032) (USD Million)
10.4.13 Rest of Asia Pacific
10.4.13.1 Rest of Asia Pacific Logistics Robots Market Estimates and Forecasts, by Type (2020-2032) (USD Million)
10.4.13.2 Rest of Asia Pacific Logistics Robots Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.4.13.3 Rest of Asia Pacific Logistics Robots Market Estimates and Forecasts, by Industry (2020-2032) (USD Million)
10.5 Middle East and Africa
10.5.1 Middle East
10.5.1.1 Trends Analysis
10.5.1.2 Middle East Logistics Robots Market Estimates and Forecasts, by Country (2020-2032) (USD Million)
10.5.1.3 Middle East Logistics Robots Market Estimates and Forecasts, by Type (2020-2032) (USD Million)
10.5.1.4 Middle East Logistics Robots Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.5.1.5 Middle East Logistics Robots Market Estimates and Forecasts, by Industry (2020-2032) (USD Million)
10.5.1.6 UAE
10.5.1.6.1 UAE Logistics Robots Market Estimates and Forecasts, by Type (2020-2032) (USD Million)
10.5.1.6.2 UAE Logistics Robots Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.5.1.6.3 UAE Logistics Robots Market Estimates and Forecasts, by Industry (2020-2032) (USD Million)
10.5.1.7 Egypt
10.5.1.7.1 Egypt Logistics Robots Market Estimates and Forecasts, by Type (2020-2032) (USD Million)
10.5.1.7.2 Egypt Logistics Robots Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.5.1.7.3 Egypt Logistics Robots Market Estimates and Forecasts, by Industry (2020-2032) (USD Million)
10.5.1.8 Saudi Arabia
10.5.1.8.1 Saudi Arabia Logistics Robots Market Estimates and Forecasts, by Type (2020-2032) (USD Million)
10.5.1.8.2 Saudi Arabia Logistics Robots Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.5.1.8.3 Saudi Arabia Logistics Robots Market Estimates and Forecasts, by Industry (2020-2032) (USD Million)
10.5.1.9 Qatar
10.5.1.9.1 Qatar Logistics Robots Market Estimates and Forecasts, by Type (2020-2032) (USD Million)
10.5.1.9.2 Qatar Logistics Robots Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.5.1.9.3 Qatar Logistics Robots Market Estimates and Forecasts, by Industry (2020-2032) (USD Million)
10.5.1.10 Rest of Middle East
10.5.1.10.1 Rest of Middle East Logistics Robots Market Estimates and Forecasts, by Type (2020-2032) (USD Million)
10.5.1.10.2 Rest of Middle East Logistics Robots Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.5.1.10.3 Rest of Middle East Logistics Robots Market Estimates and Forecasts, by Industry (2020-2032) (USD Million)
10.5.2 Africa
10.5.2.1 Trends Analysis
10.5.2.2 Africa Logistics Robots Market Estimates and Forecasts, by Country (2020-2032) (USD Million)
10.5.2.3 Africa Logistics Robots Market Estimates and Forecasts, by Type (2020-2032) (USD Million)
10.5.2.4 Africa Logistics Robots Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.5.2.5 Africa Logistics Robots Market Estimates and Forecasts, by Industry (2020-2032) (USD Million)
10.5.2.6 South Africa
10.5.2.6.1 South Africa Logistics Robots Market Estimates and Forecasts, by Type (2020-2032) (USD Million)
10.5.2.6.2 South Africa Logistics Robots Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.5.2.6.3 South Africa Logistics Robots Market Estimates and Forecasts, by Industry (2020-2032) (USD Million)
10.5.2.7 Nigeria
10.5.2.7.1 Nigeria Logistics Robots Market Estimates and Forecasts, by Type (2020-2032) (USD Million)
10.5.2.7.2 Nigeria Logistics Robots Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.5.2.7.3 Nigeria Logistics Robots Market Estimates and Forecasts, by Industry (2020-2032) (USD Million)
10.5.2.8 Rest of Africa
10.5.2.8.1 Rest of Africa Logistics Robots Market Estimates and Forecasts, by Type (2020-2032) (USD Million)
10.5.2.8.2 Rest of Africa Logistics Robots Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.5.2.8.3 Rest of Africa Logistics Robots Market Estimates and Forecasts, by Industry (2020-2032) (USD Million)
10.6 Latin America
10.6.1 Trends Analysis
10.6.2 Latin America Logistics Robots Market Estimates and Forecasts, by Country (2020-2032) (USD Million)
10.6.3 Latin America Logistics Robots Market Estimates and Forecasts, by Type (2020-2032) (USD Million)
10.6.4 Latin America Logistics Robots Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.6.5 Latin America Logistics Robots Market Estimates and Forecasts, by Industry (2020-2032) (USD Million)
10.6.6 Brazil
10.6.6.1 Brazil Logistics Robots Market Estimates and Forecasts, by Type (2020-2032) (USD Million)
10.6.6.2 Brazil Logistics Robots Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.6.6.3 Brazil Logistics Robots Market Estimates and Forecasts, by Industry (2020-2032) (USD Million)
10.6.7 Argentina
10.6.7.1 Argentina Logistics Robots Market Estimates and Forecasts, by Type (2020-2032) (USD Million)
10.6.7.2 Argentina Logistics Robots Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.6.7.3 Argentina Logistics Robots Market Estimates and Forecasts, by Industry (2020-2032) (USD Million)
10.6.8 Colombia
10.6.8.1 Colombia Logistics Robots Market Estimates and Forecasts, by Type (2020-2032) (USD Million)
10.6.8.2 Colombia Logistics Robots Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.6.8.3 Colombia Logistics Robots Market Estimates and Forecasts, by Industry (2020-2032) (USD Million)
10.6.9 Rest of Latin America
10.6.9.1 Rest of Latin America Logistics Robots Market Estimates and Forecasts, by Type (2020-2032) (USD Million)
10.6.9.2 Rest of Latin America Logistics Robots Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.6.9.3 Rest of Latin America Logistics Robots Market Estimates and Forecasts, by Industry (2020-2032) (USD Million)
11. Company Profiles
11.1 ABB Ltd
11.1.1 Company Overview
11.1.2 Financial
11.1.3 Products/ Services Offered
11.1.4 SWOT Analysis
11.2 KUKA AG
11.2.1 Company Overview
11.2.2 Financial
11.2.3 Products/ Services Offered
11.2.4 SWOT Analysis
11.3 Toyota Industries Corporation
11.3.1 Company Overview
11.3.2 Financial
11.3.3 Products/ Services Offered
11.3.4 SWOT Analysis
11.4 Fanuc Corporation
11.4.1 Company Overview
11.4.2 Financial
11.4.3 Products/ Services Offered
11.4.4 SWOT Analysis
11.5 Yaskawa Electric Corporation
11.5.1 Company Overview
11.5.2 Financial
11.5.3 Products/ Services Offered
11.5.4 SWOT Analysis
11.6 Kion Group Ag
11.6.1 Company Overview
11.6.2 Financial
11.6.3 Products/ Services Offered
11.6.4 SWOT Analysis
11.7 Toshiba Corporation
11.7.1 Company Overview
11.7.2 Financial
11.7.3 Products/ Services Offered
11.7.4 SWOT Analysis
11.8 Krones AG
11.8.1 Company Overview
11.8.2 Financial
11.8.3 Products/ Services Offered
11.8.4 SWOT Analysis
11.9 Kawasaki Heavy Industries Ltd.
11.9.1 Company Overview
11.9.2 Financial
11.9.3 Products/ Services Offered
11.9.4 SWOT Analysis
11.10 Omron Corporation
11.10.1 Company Overview
11.10.2 Financial
11.10.3 Products/ Services Offered
11.10.4 SWOT Analysis
12. Use Cases and Best Practices
13. 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.
Each report that we prepare takes a timeframe of 350-400 business hours for production. Starting from the selection of titles through a couple of in-depth brain storming session to the final QC process before uploading our titles on our website we dedicate around 350 working hours. The titles are selected based on their current market cap and the foreseen CAGR and growth.
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.
Part 1 wherein we interview the KOLs of major players as well as the upcoming ones across various geographic regions. This allows us to have their view over the market scenario and acts as an important tool to come closer to the accurate market numbers. As many as 45 paid and unpaid primary interviews are taken from both the demand and supply side of the industry to make sure we land at an accurate judgement and analysis of the market.
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.
Part 2: In this part of primary research the data collected via secondary research and the part 1 of the primary research is validated with the interviews from individual consultants and subject matter experts.
Consultants are those set of people who have at least 12 years of experience and expertise within the industry whereas Subject Matter Experts are those with at least 15 years of experience behind their back within the same space. The data with the help of two main processes i.e., FGDs (Focused Group Discussions) and IDs (Individual Discussions). This gives us a 3rd party nonbiased primary view of the market scenario making it a more dependable one while collation of the data pointers.
Step 3: Data Bank Validation
Once all the information is collected via primary and secondary sources, we run that information for data validation. At our intelligence centre our research heads track a lot of information related to the market which includes the quarterly reports, the daily stock prices, and other relevant information. Our data bank server gets updated every fortnight and that is how the information which we collected using our primary and secondary information is revalidated in real time.
Step 4: QA/QC Process
After all the data collection and validation our team does a final level of quality check and quality assurance to get rid of any unwanted or undesired mistakes. This might include but not limited to getting rid of the any typos, duplication of numbers or missing of any important information. The people involved in this process include technical content writers, research heads and graphics people. Once this process is completed the title gets uploader on our platform for our clients to read it.
Step 5: Final QC/QA Process:
This is the last process and comes when the client has ordered the study. In this process a final QA/QC is done before the study is emailed to the client. Since we believe in giving our clients a good experience of our research studies, therefore, to make sure that we do not lack at our end in any way humanly possible we do a final round of quality check and then dispatch the study to the client.
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