Delivery Robots Market

Delivery Robots Market



Growth Factors of Delivery Robots Market

The delivery robots market size was valued at USD 306.3 million in 2023, and the market is now projected to grow from USD 398.6 million in 2024 to USD 3,226.1 million by 2032, exhibiting a CAGR of 29.9% during the forecast period of 2023-2030.

The COVID-19 pandemic as forced people to stay at homes to avoid spreading of virus and led an unanticipated shutdown throughout various locations creates attractive potential for exoskeleton makers owing to the surge in demand for healthcare, and industrial spaces. moreover, the COVID-19 pandemic has raised up profitable business opportunities for suppliers of goods and services who prioritize utilizing partnerships and acquisitions as essential techniques to increase demand for their products across several industries, hence propelling the market's expansion. Additionally, the COVID-19 pandemic has shown the US healthcare sector to be able to respond to emergencies by utilizing telehealth experiences.

Robust network infrastructure to increase demand for autonomous robots will promote delivery robots market growth during projected period. The market share of smart robotics has increased due to the remarkable rise in connected device demand and fast internet accessibility in the digital era. Consumers in industrialized nations such as the United States, the United Kingdom, Canada, and Europe require time-saving smart tracking. As an example, Starship Technologies, a leader in the industry for these goods worldwide, provides a delivery feature that can be linked into the website or mobile application of the delivery partner, enabling them to track and monitor as part of their fleet. High-speed network connectivity facilitates quick data transfer, making it possible to handle massive volumes of data produced by AI robots utilizing a variety of cutting-edge networking technologies.

Product Technological Advancements to Support will promote delivery robots market growth during projected period. Online ordering became more popular in the food sector following the pandemic as a result of customers' shifting cooking habits and the growth of the work-from-home culture. Due to their ability to reduce delivery costs and improve user experience through more secure, hygienic, and contactless delivery, delivery robot demand has surged. The Internet of Things (IoT), machine learning (ML), and artificial intelligence (AI) are being used by major companies in their product portfolios to comprehend the environment through item recognition technology and control pathways accordingly for quick delivery. For example, Starship Technologies is using electric drive systems, machine learning, artificial intelligence, and a combination of LiDAR and radar sensors to guide and simplify deliveries.

Comprehensive Analysis of Delivery Robots Market

The delivery robots market and machinery and equipment industry is rising at an exponential rate due to its market segmentation. This market expansion effectively provides a detailed regional assessment considering the dominant supply and demand forces that impact the machinery and equipment benefit management industry. These segmentations are methodically segregated by types, by load carrying capacity, by number of wheels and by end users. The types segmentations include, Indoor and Outdoor, by Load Carrying Capacity segmentations include Upto 10 Kg, 11 Kg to 50 Kg, and More than 50 Kg, by Number of Wheels segmentations include 3 Wheels, 4 Wheels, and 6 Wheels. However, by end users segmentations include Healthcare, Food & Beverages, Retail, Logistics, and others.

The North America region lead the delivery robots market by benefitting a market size of USD 600.00 million in 2023 due to rising internet adoption combined with robust economic expansion.

The top players in the market play a crucial role in the machinery and equipment industry assuring industrial prospectus growth and setting market standards. These players include, Segway Robotics (Ninebot) (U.S.), Nuro Inc (U.S.), Panasonic Corporation (Japan), Zebra Technologies (Fetch Robotics) (U.S.), Starship Technologies (U.S.), ST Engineering Aethon Inc (U.S.), Teleretail (Germany), Deutsche Post (DHL) (Germany), Piaggio & C SpA (Italy), JD.Com (China) these market players provide a level-playing competitive landscape.

In August 2023, ""Clevon"" is the name of an underground autonomous robot delivery system created by Peachtree Corners, a smart community in the United States. In order to provide prompt client delivery, this delivery robot gathers orders from merchants, warehouses, and dark stores and distributes them to customers throughout the city.

Segmentation Table

ATTRIBUTE DETAILS

Study Period 2019-2032

Base Year 2023

Estimated Year 2024

Forecast Period 2024-2032

Historical Period 2019-2022

Growth Rate CAGR of 29.9% from 2024 to 2032

Unit Value (USD Million)

Segmentation By Type

Indoor

Outdoor

By Load Carrying Capacity

Upto 10 kg

11 kg to 50 kg

More than 50 kg

By Number of Wheels

3 Wheels

4 Wheels

6 Wheels

By End User

Healthcare

Food & Beverages

Retail

Logistics

Others (Hospitality)

By Region

North America (By Type, By Load Carrying Capacity, By Number of Wheels, By End User, and By Country)
  • U.S. (By End User)
  • Canada (By End User)
Europe (By Type, By Load Carrying Capacity, By Number of Wheels, By End User, and By Country)
  • Germany (By End User)
  • U.K. (By End User)
  • France (By End User)
  • Italy (By End User)
  • Rest of Europe
Asia Pacific (By Type, By Load Carrying Capacity, By Number of Wheels, By End User, and By Country)
  • China (By End User)
  • India (By End User)
  • Japan (By End User)
  • Southeast Asia (By End User)
  • Rest of Asia Pacific
Middle East & Africa (By Type, By Load Carrying Capacity, By Number of Wheels, By End User, and By Country)
  • GCC (By End User)
  • South Africa (By End User)
  • Rest of the Middle East & Africa
Latin America (By Type, By Load Carrying Capacity, By Number of Wheels, By End User, and By Country)
  • Brazil (By End User)
  • Mexico (By End User)
  • Rest of Latin America


  • Please Note: It will take 5-6 business days to complete the report upon order confirmation.


1. Introduction
1.1. Definition, By Segment
1.2. Research Methodology/Approach
1.3. Data Sources
2. Executive Summary
3. Market Dynamics
3.1. Macro and Micro Economic Indicators
3.2. Drivers, Restraints, Opportunities and Trends
4. Competition Landscape
4.1. Business Strategies Adopted by Key Players
4.2. Consolidated SWOT Analysis of Key Players
4.3. Global Delivery Robots Key Players Market Share/Ranking, 2023
5. Global Delivery Robots Market Size Estimates and Forecasts, By Segments, 2019-2032
5.1. Key Findings
5.2. By Type (USD)
5.2.1. Indoor
5.2.2. Outdoor
5.3. By Load Carrying Capacity (USD)
5.3.1. Upto 10 Kg
5.3.2. 11 KG to 50 Kg
5.3.3. More than 50 Kg
5.4. By Number of Wheels
5.4.1. 3 Wheels
5.4.2. 4 Wheels
5.4.3. 6 Wheels
5.5. By End User
5.5.1. Healthcare
5.5.2. Food & Beverages
5.5.3. Retail
5.5.4. Logistics
5.5.5. Others (Hospitality, etc.)
5.6. By Country (USD)
5.6.1. North America
5.6.2. Europe
5.6.3. Asia Pacific
5.6.4. Middle East & Africa
5.6.5. Latin America
6. North America Delivery Robots Market Size Estimates and Forecasts, By Segments, 2019-2032
6.1. Key Findings
6.2. By Type (USD)
6.2.1. Indoor
6.2.2. Outdoor
6.3. By Load Carrying Capacity (USD)
6.3.1. Upto 10 Kg
6.3.2. 11 KG to 50 Kg
6.3.3. More than 50 Kg
6.4. By Number of Wheels
6.4.1. 3 Wheels
6.4.2. 4 Wheels
6.4.3. 6 Wheels
6.5. By End User
6.5.1. Healthcare
6.5.2. Food & Beverages
6.5.3. Retail
6.5.4. Logistics
6.5.5. Others (Hospitality, etc.)
6.6. By Country (USD)
6.6.1. U.S.
6.6.1.1. By End User
6.6.1.1.1. Healthcare
6.6.1.1.2. Food & Beverages
6.6.1.1.3. Retail
6.6.1.1.4. Logistics
6.6.1.1.5. Others (Hospitality, etc.)
6.6.2. Canada
6.6.2.1. By End User
6.6.2.1.1. Healthcare
6.6.2.1.2. Food & Beverages
6.6.2.1.3. Retail
6.6.2.1.4. Logistics
6.6.2.1.5. Others (Hospitality, etc.)
7. Europe Delivery Robots Market Size Estimates and Forecasts, By Segments, 2019-2032
7.1. Key Findings
7.2. By Type (USD)
7.2.1. Indoor
7.2.2. Outdoor
7.3. By Load Carrying Capacity (USD)
7.3.1. Upto 10 Kg
7.3.2. 11 KG to 50 Kg
7.3.3. More than 50 Kg
7.4. By Number of Wheels
7.4.1. 3 Wheels
7.4.2. 4 Wheels
7.4.3. 6 Wheels
7.5. By End User
7.5.1. Healthcare
7.5.2. Food & Beverages
7.5.3. Retail
7.5.4. Logistics
7.5.5. Others (Hospitality, etc.)
7.6. By Country (USD)
7.6.1. Germany
7.6.1.1. By End User
7.6.1.1.1. Healthcare
7.6.1.1.2. Food & Beverages
7.6.1.1.3. Retail
7.6.1.1.4. Logistics
7.6.1.1.5. Others (Hospitality, etc.)
7.6.2. U.K.
7.6.2.1. By End User
7.6.2.1.1. Healthcare
7.6.2.1.2. Food & Beverages
7.6.2.1.3. Retail
7.6.2.1.4. Logistics
7.6.2.1.5. Others (Hospitality, etc.)
7.6.3. France
7.6.3.1. By End User
7.6.3.1.1. Healthcare
7.6.3.1.2. Food & Beverages
7.6.3.1.3. Retail
7.6.3.1.4. Logistics
7.6.3.1.5. Others (Hospitality, etc.)
7.6.4. Italy
7.6.4.1. By End User
7.6.4.1.1. Healthcare
7.6.4.1.2. Food & Beverages
7.6.4.1.3. Retail
7.6.4.1.4. Logistics
7.6.4.1.5. Others (Hospitality, etc.)
7.6.5. Rest of Europe
8. Asia Pacific Delivery Robots Market Size Estimates and Forecasts, By Segments, 2019-2032
8.1. Key Findings
8.2. By Type (USD)
8.2.1. Indoor
8.2.2. Outdoor
8.3. By Load Carrying Capacity (USD)
8.3.1. Upto 10 Kg
8.3.2. 11 KG to 50 Kg
8.3.3. More than 50 Kg
8.4. By Number of Wheels
8.4.1. 3 Wheels
8.4.2. 4 Wheels
8.4.3. 6 Wheels
8.5. By End User
8.5.1. Healthcxare
8.5.2. Food & Beverages
8.5.3. Retail
8.5.4. Logistics
8.5.5. Others (Hospitality, etc.)
8.6. By Country (USD)
8.6.1. China
8.6.1.1. By End User
8.6.1.1.1. Healthcare
8.6.1.1.2. Food & Beverages
8.6.1.1.3. Retail
8.6.1.1.4. Logistics
8.6.1.1.5. Others (Hospitality, etc.)
8.6.2. India
8.6.2.1. By End User
8.6.2.1.1. Healthcare
8.6.2.1.2. Food & Beverages
8.6.2.1.3. Retail
8.6.2.1.4. Logistics
8.6.2.1.5. Others (Hospitality, etc.)
8.6.3. Japan
8.6.3.1. By End User
8.6.3.1.1. Healthcare
8.6.3.1.2. Food & Beverages
8.6.3.1.3. Retail
8.6.3.1.4. Logistics
8.6.3.1.5. Others (Hospitality, etc.)
8.6.4. Southeast Asia
8.6.4.1. By End User
8.6.4.1.1. Healthcare
8.6.4.1.2. Food & Beverages
8.6.4.1.3. Retail
8.6.4.1.4. Logistics
8.6.4.1.5. Others (Hospitality, etc.)
8.6.5. Rest of Asia Pacific
9. Middle East & Africa Delivery Robots Market Size Estimates and Forecasts, By Segments, 2019-2032
9.1. Key Findings
9.2. By Type (USD)
9.2.1. Indoor
9.2.2. Outdoor
9.3. By Load Carrying Capacity (USD)
9.3.1. Upto 10 Kg
9.3.2. 11 KG to 50 Kg
9.3.3. More than 50 Kg
9.4. By Number of Wheels
9.4.1. 3 Wheels
9.4.2. 4 Wheels
9.4.3. 6 Wheels
9.5. By End User
9.5.1. Healthcare
9.5.2. Food & Beverages
9.5.3. Retail
9.5.4. Logistics
9.5.5. Others (Hospitality, etc.)
9.6. By Country (USD)
9.6.1. GCC
9.6.1.1. By End User
9.6.1.1.1. Healthcare
9.6.1.1.2. Food & Beverages
9.6.1.1.3. Retail
9.6.1.1.4. Logistics
9.6.1.1.5. Others (Hospitality, etc.)
9.6.2. South Africa
9.6.2.1. By End User
9.6.2.1.1. Healthcare
9.6.2.1.2. Food & Beverages
9.6.2.1.3. Retail
9.6.2.1.4. Logistics
9.6.2.1.5. Others (Hospitality, etc.)
9.6.3. Rest of Middle East & Africa
10. Latin America Delivery Robots Market Size Estimates and Forecasts, By Segments, 2019-2032
10.1. Key Findings
10.2. By Type (USD)
10.2.1. Indoor
10.2.2. Outdoor
10.3. By Load Carrying Capacity (USD)
10.3.1. Upto 10 Kg
10.3.2. 11 KG to 50 Kg
10.3.3. More than 50 Kg
10.4. By Number of Wheels
10.4.1. 3 Wheels
10.4.2. 4 Wheels
10.4.3. 6 Wheels
10.5. By End User
10.5.1. Healthcare
10.5.2. Food & Beverages
10.5.3. Retail
10.5.4. Logistics
10.5.5. Others (Hospitality, etc.)
10.6. By Country (USD)
10.6.1. Brazil
10.6.1.1. By End User
10.6.1.1.1. Healthcare
10.6.1.1.2. Food & Beverages
10.6.1.1.3. Retail
10.6.1.1.4. Logistics
10.6.1.1.5. Others (Hospitality, etc.)
10.6.2. Mexico
10.6.2.1. By End User
10.6.2.1.1. Healthcare
10.6.2.1.2. Food & Beverages
10.6.2.1.3. Retail
10.6.2.1.4. Logistics
10.6.2.1.5. Others (Hospitality, etc.)
10.6.3. Rest of Latin America
11. Company Profiles for Top 10 Players (Based on data availability in public domain and/or on paid databases)
11.1. Segway Robotics (Ninebot)
11.1.1. Overview
11.1.1.1. Key Management
11.1.1.2. Headquarters
11.1.1.3. Offerings/Business Segments
11.1.2. Key Details (Key details are consolidated data and not product/service specific)
11.1.2.1. Employee Size
11.1.2.2. Past and Current Revenue
11.1.2.3. Geographical Share
11.1.2.4. Business Segment Share
11.1.2.5. Recent Developments
11.2. Nuro Inc
11.2.1. Overview
11.2.1.1. Key Management
11.2.1.2. Headquarters
11.2.1.3. Offerings/Business Segments
11.2.2. Key Details (Key details are consolidated data and not product/service specific)
11.2.2.1. Employee Size
11.2.2.2. Past and Current Revenue
11.2.2.3. Geographical Share
11.2.2.4. Business Segment Share
11.2.2.5. Recent Developments
11.3. Panasonic Corporation
11.3.1. Overview
11.3.1.1. Key Management
11.3.1.2. Headquarters
11.3.1.3. Offerings/Business Segments
11.3.2. Key Details (Key details are consolidated data and not product/service specific)
11.3.2.1. Employee Size
11.3.2.2. Past and Current Revenue
11.3.2.3. Geographical Share
11.3.2.4. Business Segment Share
11.3.2.5. Recent Developments
11.4. Zebra Technologies (Fetch Robotics)
11.4.1. Overview
11.4.1.1. Key Management
11.4.1.2. Headquarters
11.4.1.3. Offerings/Business Segments
11.4.2. Key Details (Key details are consolidated data and not product/service specific)
11.4.2.1. Employee Size
11.4.2.2. Past and Current Revenue
11.4.2.3. Geographical Share
11.4.2.4. Business Segment Share
11.4.2.5. Recent Developments
11.5. Starship Technologies
11.5.1. Overview
11.5.1.1. Key Management
11.5.1.2. Headquarters
11.5.1.3. Offerings/Business Segments
11.5.2. Key Details (Key details are consolidated data and not product/service specific)
11.5.2.1. Employee Size
11.5.2.2. Past and Current Revenue
11.5.2.3. Geographical Share
11.5.2.4. Business Segment Share
11.5.2.5. Recent Developments
11.6. ST Engineering Aethon Inc
11.6.1. Overview
11.6.1.1. Key Management
11.6.1.2. Headquarters
11.6.1.3. Offerings/Business Segments
11.6.2. Key Details (Key details are consolidated data and not product/service specific)
11.6.2.1. Employee Size
11.6.2.2. Past and Current Revenue
11.6.2.3. Geographical Share
11.6.2.4. Business Segment Share
11.6.2.5. Recent Developments
11.7. Teleretail
11.7.1. Overview
11.7.1.1. Key Management
11.7.1.2. Headquarters
11.7.1.3. Offerings/Business Segments
11.7.2. Key Details (Key details are consolidated data and not product/service specific)
11.7.2.1. Employee Size
11.7.2.2. Past and Current Revenue
11.7.2.3. Geographical Share
11.7.2.4. Business Segment Share
11.7.2.5. Recent Developments
11.8. Deutsche Post (DHL)
11.8.1. Overview
11.8.1.1. Key Management
11.8.1.2. Headquarters
11.8.1.3. Offerings/Business Segments
11.8.2. Key Details (Key details are consolidated data and not product/service specific)
11.8.2.1. Employee Size
11.8.2.2. Past and Current Revenue
11.8.2.3. Geographical Share
11.8.2.4. Business Segment Share
11.8.2.5. Recent Developments
11.9. Piaggion & C SpA
11.9.1. Overview
11.9.1.1. Key Management
11.9.1.2. Headquarters
11.9.1.3. Offerings/Business Segments
11.9.2. Key Details (Key details are consolidated data and not product/service specific)
11.9.2.1. Employee Size
11.9.2.2. Past and Current Revenue
11.9.2.3. Geographical Share
11.9.2.4. Business Segment Share
11.9.2.5. Recent Developments
11.10. JD.Com (JingDong)
11.10.1. Overview
11.10.1.1. Key Management
11.10.1.2. Headquarters
11.10.1.3. Offerings/Business Segments
11.10.2. Key Details (Key details are consolidated data and not product/service specific)
11.10.2.1. Employee Size
11.10.2.2. Past and Current Revenue
11.10.2.3. Geographical Share
11.10.2.4. Business Segment Share
11.10.2.5. Recent Developments

Download our eBook: How to Succeed Using Market Research

Learn how to effectively navigate the market research process to help guide your organization on the journey to success.

Download eBook
Cookie Settings