Global Parcel Sorting Robots Market is valued approximately USD 753.6 million in 2023 and is anticipated to grow with a healthy growth rate of more than 21.66% over the forecast period 2024-2032. Parcel sorting robots are autonomous machines designed to efficiently organize and categorize parcels or packages in distribution centers or warehouses. These robots typically utilize a combination of sensors, cameras, and algorithms to identify, pick up, and sort parcels based on predetermined criteria such as destination, size, weight, or shape. They are programmed to navigate through the workspace, locate parcels, and place them in designated bins or conveyor belts for further processing or delivery. Furthermore, rising integration of artificial intelligence and machine learning algorithms are gaining attention towards Global Parcel Sorting Robots Market. AI and ML algorithms enable parcel sorting robots to continuously learn and optimize their sorting processes based on real-time data. This leads to increased efficiency in parcel sorting operations and higher accuracy in identifying, categorizing, and routing parcels.
The Global Parcel Sorting Robots Market is driven by growing demand for e-commerce and rising popularity of express delivery services across the world. E-commerce businesses often experience fluctuations in parcel volumes, particularly during peak shopping seasons including holidays or promotional events. Parcel sorting robots offer scalability and flexibility to adapt to changing demand, ensuring smooth operations even during periods of high order volumes. In addition, parcel sorting robots enable warehouses and distribution centers to expedite the sorting process, reducing order processing times and meeting the demands for speedy delivery. However, high cost of parcel sorting robots and lack of standardization is going to impede the overall demand for the market during the forecast period 2024-2032.
The key regions considered for the Global Parcel Sorting Robots market study includes Asia Pacific, North America, Europe, Latin America, and Rest of the World. In 2023, North America was the dominating regional market in terms of revenue owing to factors such as rising industrial automation across the region. Parcel sorting robots are designed to seamlessly integrate with existing warehouse management systems and automation infrastructure. This integration facilitates smooth implementation and operation of the robots within warehouses and distribution centers in North America. Furthermore, the market in Asia Pacific, on the other hand, is expected to develop at the fastest rate over the forecast period 2024-2032.
Major market player included in this report are:
- Amazon Robotics LLC
- Fetch Robotics, Inc
- Kuka AG
- Starship Technologies Inc
- GreyOrange Inc
- Hi-tech Robotic Systemz Ltd
- Hitachi, Ltd
- Zhejiang Libiao Robotics Co., Ltd
- Magazino GmbH
- Siemens AG
The detailed segments and sub-segment of the market are explained below:
By Type
- Full-automatic
- Semi-automatic
By Application
- Logistics Picking
- Logistics Handling
- Others
By Region:
- North America
- U.S.
- Canada
- Europe
- UK
- Germany
- France
- Spain
- Italy
- ROE
- Asia Pacific
- China
- India
- Japan
- Australia
- South Korea
- RoAPAC
- Latin America
- Brazil
- Mexico
- Middle East & Africa
- Saudi Arabia
- South Africa
- RoMEA
Years considered for the study are as follows:
- Historical year - 2022
- Base year - 2023
- Forecast period - 2024 to 2032
Key Takeaways:
- Market Estimates & Forecast for 10 years from 2022 to 2032.
- Annualized revenues and regional level analysis for each market segment.
- Detailed analysis of geographical landscape with Country level analysis of major regions.
- Competitive landscape with information on major players in the market.
- Analysis of key business strategies and recommendations on future market approach.
- Analysis of competitive structure of the market.
- Demand side and supply side analysis of the market
Table of Contents
Chapter 1. Global Parcel Sorting Robots Market Definition and Research Assumptions
- 1.1. Research Objective
- 1.2. Market Definition
- 1.3. Research Assumptions
- 1.3.1. Inclusion & Exclusion
- 1.3.2. Limitations
- 1.3.3. Supply Side Analysis
- 1.3.3.1. Availability
- 1.3.3.2. Infrastructure
- 1.3.3.3. Regulatory Environment
- 1.3.3.4. Market Competition
- 1.3.3.5. Economic Viability (Consumer's Perspective)
- 1.3.4. Demand Side Analysis
- 1.3.4.1. Regulatory frameworks
- 1.3.4.2. Technological Advancements
- 1.3.4.3. Environmental Considerations
- 1.3.4.4. Consumer Awareness & Acceptance
- 1.4. Estimation Methodology
- 1.5. Years Considered for the Study
- 1.6. Currency Conversion Rates
Chapter 2. Executive Summary
- 2.1. Global Parcel Sorting Robots Market Size & Forecast (2022- 2032)
- 2.2. Regional Summary
- 2.3. Segmental Summary
- 2.3.1. By Type
- 2.3.2. By Application
- 2.4. Key Trends
- 2.5. Recession Impact
- 2.6. Analyst Recommendation & Conclusion
Chapter 3. Global Parcel Sorting Robots Market Dynamics
- 3.1. Market Drivers
- 3.2. Market Challenges
- 3.3. Market Opportunities
Chapter 4. Global Parcel Sorting Robots Market Industry Analysis
- 4.1. Porter's 5 Force Model
- 4.1.1. Bargaining Power of Suppliers
- 4.1.2. Bargaining Power of Buyers
- 4.1.3. Threat of New Entrants
- 4.1.4. Threat of Substitutes
- 4.1.5. Competitive Rivalry
- 4.1.6. Futuristic Approach to Porter's 5 Force Model
- 4.1.7. Porter's 5 Force Impact Analysis
- 4.2. PESTEL Analysis
- 4.2.1. Political
- 4.2.2. Economical
- 4.2.3. Social
- 4.2.4. Technological
- 4.2.5. Environmental
- 4.2.6. Legal
- 4.3. Top investment opportunity
- 4.4. Top winning strategies
- 4.5. Disruptive Trends
- 4.6. Industry Expert Perspective
- 4.7. Analyst Recommendation & Conclusion
Chapter 5. Global Parcel Sorting Robots Market Size & Forecasts by Type 2022-2032
- 5.1. Full-automatic
- 5.2. Semi-automatic
Chapter 6. Global Parcel Sorting Robots Market Size & Forecasts by Application 2022-2032
- 6.1. Logistics Picking
- 6.2. Logistics Handling
- 6.3. Others
Chapter 7. Global Parcel Sorting Robots Market Size & Forecasts by Region 2022-2032
- 7.1. North America Parcel Sorting Robots Market
- 7.1.1. U.S. Parcel Sorting Robots Market
- 7.1.1.1. Type breakdown size & forecasts, 2022-2032
- 7.1.1.2. Application breakdown size & forecasts, 2022-2032
- 7.1.2. Canada Parcel Sorting Robots Market
- 7.2. Europe Parcel Sorting Robots Market
- 7.2.1. U.K. Parcel Sorting Robots Market
- 7.2.2. Germany Parcel Sorting Robots Market
- 7.2.3. France Parcel Sorting Robots Market
- 7.2.4. Spain Parcel Sorting Robots Market
- 7.2.5. Italy Parcel Sorting Robots Market
- 7.2.6. Rest of Europe Parcel Sorting Robots Market
- 7.3. Asia-Pacific Parcel Sorting Robots Market
- 7.3.1. China Parcel Sorting Robots Market
- 7.3.2. India Parcel Sorting Robots Market
- 7.3.3. Japan Parcel Sorting Robots Market
- 7.3.4. Australia Parcel Sorting Robots Market
- 7.3.5. South Korea Parcel Sorting Robots Market
- 7.3.6. Rest of Asia Pacific Parcel Sorting Robots Market
- 7.4. Latin America Parcel Sorting Robots Market
- 7.4.1. Brazil Parcel Sorting Robots Market
- 7.4.2. Mexico Parcel Sorting Robots Market
- 7.4.3. Rest of Latin America Parcel Sorting Robots Market
- 7.5. Middle East & Africa Parcel Sorting Robots Market
- 7.5.1. Saudi Arabia Parcel Sorting Robots Market
- 7.5.2. South Africa Parcel Sorting Robots Market
- 7.5.3. Rest of Middle East & Africa Parcel Sorting Robots Market
Chapter 8. Competitive Intelligence
- 8.1. Key Company SWOT Analysis
- 8.2. Top Market Strategies
- 8.3. Company Profiles
- 8.3.1. Amazon Robotics LLC
- 8.3.1.1. Key Information
- 8.3.1.2. Overview
- 8.3.1.3. Financial (Subject to Data Availability)
- 8.3.1.4. Product Summary
- 8.3.1.5. Market Strategies
- 8.3.2. Fetch Robotics, Inc
- 8.3.3. Kuka AG
- 8.3.4. Starship Technologies Inc
- 8.3.5. GreyOrange Inc
- 8.3.6. Hi-tech Robotic Systemz Ltd
- 8.3.7. Hitachi, Ltd
- 8.3.8. Zhejiang Libiao Robotics Co., Ltd
- 8.3.9. Magazino GmbH
- 8.3.10. Siemens AG
Chapter 9. Research Process
- 9.1. Research Process
- 9.1.1. Data Mining
- 9.1.2. Analysis
- 9.1.3. Market Estimation
- 9.1.4. Validation
- 9.1.5. Publishing
- 9.2. Research Attributes