Global Autonomous Delivery Robots Market

Report ID : 1476 | Published : 2022-11-30 | Pages: | Format: PDF/EXCEL

The market size of the Global Autonomous Delivery Robots Market in the year 2021 is valued at 0.56 million and is predicted to reach 13.20 billion by the year 2030 at an 42.16% CAGR during the forecast period.

Autonomous delivery robots offer last-mile delivery services. Autonomous delivery systems are expected to prevent such harmful environmental effects by lowering carbon emissions in the atmosphere. Several laws are being passed to combat global warming and safeguard the environment; as a result, the market is seeing an increase in demand for ADR. The main reason driving the market's expansion is the increasing use of autonomous delivery vehicles due to their effectiveness. The advantages of autonomous delivery robots (ADRs) for e-commerce, ongoing innovation in the online retail sector through the adoption of cutting-edge technologies to lower the cost of last-mile distribution, and the demand for contactless delivery will drive market growth over the forecast period. Furthermore, the market for autonomous delivery robots has tremendous potential due to rising consumer expectations for quicker and more convenient deliveries. E-commerce and package delivery are both proliferating, and many startups have already started experimenting with using them to deliver packages and groceries to customers. They are also getting better at performing harder-to-automate tasks previously.

The rising affordability and return on investment of an expanding variety of infrastructure-light robots, together with enduring demands for flexible and effective automated fulfillment, are the major factors driving the increased adoption of ADR. The expanding market for delivery robots on a worldwide scale. Additionally, the high cost associated with producing these delivery robots' limits market expansion on a global scale because many developing nations cannot afford it. The development needs to be improved by a need for more awareness and an absence of these robots in some countries.

Market Segmentation:

The autonomous delivery robots' market is segmented as end-use. Based on end-use, the autonomous delivery robots market is segmented into healthcare, hospitality, retail & logistics.

The healthcare segment witnessed growth at a rapid rate.

Healthcare grabbed the highest revenue share, and it is anticipated that it will continue to hold that position during the anticipated time. One of the most sophisticated uses for autonomous delivery robots is in the healthcare industry. Autonomous delivery robots used in healthcare applications, as opposed to outside delivery robots, must consider some additional factors, including sanitary considerations, low noise motors, and smoother navigation than standard deliveries. The non-human workforce at Millennium Hotels & Resorts is about to grow. The idea of automation and self-service is now playing a crucial role in the customer experience, which is one of the reasons why robots have become a prominent technology trend in the hospitality business. The usage of robots can result in advancements in accuracy, speed, and even cost-effectiveness.

The North American Autonomous Delivery Robots market holds a significant regional revenue share.

The North American autonomous delivery robots' market is expected to register the highest market share in revenue. Many cutting-edge startups are located here, and there is a strong emphasis on precision manufacturing to promote the development of autonomous delivery robots. Additionally, the region is home to important ancillary businesses that assist the expansion of the primary market. Furthermore, a high CAGR is anticipated in the global market for Asia Pacific. The industry is expected to develop due to the increasing use of autonomous delivery robots. Numerous participants in the retail and hotel industries are also working together, intending to experience the prototypes firsthand. As a result, the region's market for autonomous delivery robots will profit.

Competitive Landscape

Some major key players in the autonomous delivery robots’ market are Starship Technologies, Marble Robot Inc., Tele Retail, Postmates Inc., Robby Technologies, Robocar Inc., Kibibit, Dual Inc., Savio Inc., Segway Robotics Inc., Noro Inc., Clever on AS, Heliport, Anionics AG, Box Bot Inc., Noelia, Efference and Anthon Inc.

Chapter 1. Methodology and Scope

1.1. Research Methodology

1.2. Research Scope & Assumptions

Chapter 2. Executive Summary

Chapter 3. Global Autonomous Delivery Robots Market Snapshot

Chapter 4. Global Autonomous Delivery Robots Market Variables, Trends & Scope

4.1. Market Segmentation & Scope

4.2. Drivers

4.3. Challenges

4.4. Trends

4.5. Investment and Funding Analysis

4.6. Industry Analysis – Porter’s Five Forces Analysis

4.7. Competitive Landscape & Market Share Analysis

4.8. Impact of Covid-19 Analysis

Chapter 5. Market Segmentation 1: by End-users Estimates & Trend Analysis

5.1. by End-users & Market Share, 2019 & 2030

5.2. Market Size (Value (US$ Mn) & Forecasts and Trend Analyses, 2019 to 2030 for the following by End-users:

5.2.1. Healthcare

5.2.2. Hospitality

5.2.3. Retail and Logistics

Chapter 6. Autonomous Delivery Robots Market Segmentation 2: Regional Estimates & Trend Analysis

6.1. North America

6.1.1. North America Autonomous Delivery Robots Market Revenue (US$ Million) Estimates and Forecasts by End-users, 2022-2030

6.1.2. North America Autonomous Delivery Robots Market Revenue (US$ Million) Estimates and Forecasts by country, 2022-2030

6.2. Europe

6.2.1. Europe Autonomous Delivery Robots Market Revenue (US$ Million) Estimates and Forecasts by End-users, 2022-2030

6.2.2. Europe Autonomous Delivery Robots Market Revenue (US$ Million) Estimates and Forecasts by country, 2022-2030

6.3. Asia Pacific

6.3.1. Asia Pacific Autonomous Delivery Robots Market Revenue (US$ Million) Estimates and Forecasts by End-users, 2022-2030

6.3.2. Asia Pacific Autonomous Delivery Robots Market Revenue (US$ Million) Estimates and Forecasts by country, 2022-2030

6.4. Latin America

6.4.1. Latin America Autonomous Delivery Robots Market Revenue (US$ Million) Estimates and Forecasts by End-users, 2022-2030

6.4.2. Latin America Autonomous Delivery Robots Market Revenue (US$ Million) Estimates and Forecasts by country, 2022-2030

6.5. Middle East & Africa

6.5.1. Middle East & Africa Autonomous Delivery Robots Market Revenue (US$ Million) Estimates and Forecasts by End-users, 2022-2030

6.5.2. Middle East & Africa Autonomous Delivery Robots Market Revenue (US$ Million) Estimates and Forecasts by country, 2022-2030

Chapter 7. Competitive Landscape

7.1. Major Mergers and Acquisitions/Strategic Alliances

7.2. Company Profiles

7.2.1. Starship Technologies

7.2.2. Marble Robot Inc.

7.2.3. Tele Retail

7.2.4. Postmates Inc.

7.2.5. Robby Technologies

7.2.6. Robocar Inc.

7.2.7. Kibibit

7.2.8. Dual Inc.

7.2.9. Savio Inc.

7.2.10. Segway Robotics Inc.

7.2.11. Noro Inc.

7.2.12. Clever on AS

7.2.13. Heliport

7.2.14. Anionics AG

7.2.15. Box Bot Inc.

7.2.16. Noelia

7.2.17. Efference

7.2.18. Anthon Inc.

7.2.19. Other Prominent Players

 By End User:

  • Healthcare
  • Hospitality
  • Retail and Logistics

By Region-

North America-

  • The US
  • Canada
  • Mexico


  • Germany
  • The UK
  • France
  • Italy
  • Spain
  • Rest of Europe


  • China
  • Japan
  • India
  • South Korea
  • Southeast Asia
  • Rest of Asia Pacific

Latin America-

  • Brazil
  • Argentina
  • Rest of Latin America

 Middle East & Africa-

  • GCC Countries
  • South Africa

Rest of Middle East and Africa

InsightAce Analytic follows a standard and comprehensive market research methodology focused on offering the most accurate and precise market insights. The methods followed for all our market research studies include three significant steps – primary research, secondary research, and data modeling and analysis - to derive the current market size and forecast it over the forecast period. In this study, these three steps were used iteratively to generate valid data points (minimum deviation), which were cross-validated through multiple approaches mentioned below in the data modeling section.

Through secondary research methods, information on the market under study, its peer, and the parent market was collected. This information was then entered into data models. The resulted data points and insights were then validated by primary participants.

Based on additional insights from these primary participants, more directional efforts were put into doing secondary research and optimize data models. This process was repeated till all data models used in the study produced similar results (with minimum deviation). This way, this iterative process was able to generate the most accurate market numbers and qualitative insights.

Secondary research

The secondary research sources that are typically mentioned to include, but are not limited to:

  • Company websites, financial reports, annual reports, investor presentations, broker reports, and SEC filings.
  • External and internal proprietary databases, regulatory databases, and relevant patent analysis
  • Statistical databases, National government documents, and market reports
  • Press releases, news articles, and webcasts specific to the companies operating in the market

The paid sources for secondary research like Factiva, OneSource, Hoovers, and Statista

Primary Research:

Primary research involves telephonic interviews, e-mail interactions, as well as face-to-face interviews for each market, category, segment, and subsegment across geographies

The contributors who typically take part in such a course include, but are not limited to: 

  • Industry participants: CEOs, CBO, CMO, VPs, marketing/ type managers, corporate strategy managers, and national sales managers, technical personnel, purchasing managers, resellers, and distributors.
  • Outside experts: Valuation experts, Investment bankers, research analysts specializing in specific markets
  • Key opinion leaders (KOLs) specializing in unique areas corresponding to various industry verticals
  • End-users: Vary mainly depending upon the market

Data Modeling and Analysis:

In the iterative process (mentioned above), data models received inputs from primary as well as secondary sources. But analysts working on these models were the key. They used their extensive knowledge and experience about industry and topic to make changes and fine-tuning these models as per the product/service under study.

The standard data models used while studying this market were the top-down and bottom-up approaches and the company shares analysis model. However, other methods were also used along with these – which were specific to the industry and product/service under study.

To know more about the research methodology used for this study, kindly contact us/click here.

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