Qyresearchreports include new market research report Global Autonomous Delivery Robots Market Insights, Forecast to 2025 to its huge collection of research reports.

This report presents the worldwide Autonomous Delivery Robots market size (value, production and consumption), splits the breakdown (data status 2013-2018 and forecast to 2025), by manufacturers, region, type and application.

This study also analyzes the market status, market share, growth rate, future trends, market drivers, opportunities and challenges, risks and entry barriers, sales channels, distributors and Porter's Five Forces Analysis.

Robotics technology is one of the fastest emerging technologies that have potential to revolutionize the delivery system in various industries. Despite, being in its nascent stage, delivery robots are currently moving mail and supplies around offices, hotels and other large spaces. For instance, company Savioke butler robots can roam around the hotels delivering snacks, toiletries and other requested items.

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 These advanced robots are equipped with artificial intelligence, so that they can interact with customers and provides positive customer experience. In 2015, Savioke's prototype robot fleet travelled more than 1,000 miles in five test hotels. Beside, delivery services in hotels, these robots also deliver medicines, meal and documents in hospitals. Aethon, a U.S based company is known for its delivery robots that are capable working in medical environments. TUG an Aethon's flagship robot, can pull the delivery carts to places where they are needed, capable to access elevators and pathways avoiding pedestrians. The Aethon and Savioke are showcasing the glimpse of coming possibilities in automatic logistic delivery systems. Mobile robots technology will provide the opportunity and allow the researchers to build more efficient delivery robots that can drive on sidewalks and delivering parcel door-to-door.

Global autonomous delivery robots market is driving on the back of emerging technologies such as IoT (Internet of Things) and artificial intelligence technology. Implementation of artificial intelligence enables the autonomous delivery robots to interact with surrounding environment and to learn from their surroundings as well. Starship Technology, a London based company using AI technology and aims to make autonomous delivery robots more efficient by developing robots that can complete deliveries in congested urban areas. By the end of 2017, dominos has planned to start using fleet of autonomous delivering robots in to deliver pizzas in some parts of Netherlands and Germany.

Dominos is teaming up with Starship Technology for the introduction of autonomous robots. Starship Technology teamed up with Postmates an online delivery service provider in U.S, and the autonomous robots are already delivering goods in San Francisco. Autonomous delivery robots are revolutionizing the modern logistics and delivery system, with vast opportunities and growing need of efficient delivery system expected to drive the growth of global delivery robots market. However, autonomous delivery robots have to walk a long road for its successful implementation across the globe. Delivery robots are capable to operate in low density population areas, thus more innovations and efficient infrastructure is needed for successful growth of delivery robots market. Legislation for the adoption of autonomous delivery robots is one of the major hurdles for the growth of global autonomous delivery robots market. Although, some legislation has passed in U.S states such as Virginia, Columbia and several laws are in work in Florida and Idaho. In Germany, autonomous delivery robots need special permission to motor on pavements. On the other hand, it's completely legal in Austria. Challenges regarding the legislation and government regulations are expected to diminish with continuous development of autonomous delivery robots cross the globe.

The Autonomous Delivery Robots market was valued at xx Million US$ in 2017 and is projected to reach xx Million US$ by 2025, at a CAGR of xx% during the forecast period. In this study, 2017 has been considered as the base year and 2018 to 2025 as the forecast period to estimate the market size for Autonomous Delivery Robots.

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The following manufacturers are covered in this report:
Starship Technologies
Robby Technologies
Savioke
Nuro
Eliport
Marble Robot
TeleRetail
Aethon
Kiwi

Autonomous Delivery Robots Breakdown Data by Type
Fully Autonomous Robots
Semi-Autonomous Robots

Autonomous Delivery Robots Breakdown Data by Application
Hotels
Hospitals
Restaurants
Logistics
Others

Autonomous Delivery Robots Production by Region
United States
Europe
China
Japan
Other Regions

The study objectives are:
To analyze and research the global Autonomous Delivery Robots status and future forecastinvolving, production, revenue, consumption, historical and forecast.
To present the key Autonomous Delivery Robots manufacturers, production, revenue, market share, and recent development.
To split the breakdown data by regions, type, manufacturers and applications.
To analyze the global and key regions market potential and advantage, opportunity and challenge, restraints and risks.
To identify significant trends, drivers, influence factors in global and regions.
To analyze competitive developments such as expansions, agreements, new product launches, and acquisitions in the market.

This report includes the estimation of market size for value (million USD) and volume (K Units). Both top-down and bottom-up approaches have been used to estimate and validate the market size of Autonomous Delivery Robots market, to estimate the size of various other dependent submarkets in the overall market. Key players in the market have been identified through secondary research, and their market shares have been determined through primary and secondary research. All percentage shares, splits, and breakdowns have been determined using secondary sources and verified primary sources.

For the data information by region, company, type and application, 2017 is considered as the base year. Whenever data information was unavailable for the base year, the prior year has been considered.

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