DUBLIN--(BUSINESS WIRE)--The "China Autonomous Delivery Vehicle Industry Report, 2022" report has been added to ResearchAndMarkets.com's offering.

The autonomous delivery industry has transitioned from test run to large-scale operation.

In May 2021, the first batch of autonomous delivery vehicles in China was allowed to run on public roads in demonstration areas. During the epidemic in Shanghai in 2022, more than 500 autonomous delivery vehicles were assembled to serve the affected areas.

After going through adaptation to different scenarios and technical optimization and verification in this period of time, autonomous delivery vehicles are finding ever wider application. Autonomous express delivery, autonomous takeaway delivery, supermarket delivery and autonomous retail have penetrated scenarios like communities, industrial parks, college campuses, smart scenic spots, AI parks and business districts.

In Neolix's case, as of July 2022 its autonomous vehicles have successfully been used in over 100 scenarios in 40 cities of 13 countries, delivering more than 2 million orders to over 300,000 users. The company has delivered and deployed a total of more than 1,000 vehicles. In the meantime, Unity Drive's products have landed in over 100 large- and medium-sized cities and run in over 150 parks across China. As of July 2022, GoFurther.AI's intelligent autonomous delivery vehicles have delivered 1.3 million parcels.

As concerns application, as of May 2022, JD Logistics has had nearly 400 intelligent delivery vehicles operated normally in over 25 cities across China, including Beijing, Tianjin and Changshu.

During 2022-2023, JD will push on with research and development and put into use thousands of intelligent delivery vehicles for a wider coverage of autonomous delivery. In more than 200 colleges and universities in China, Cainiao has introduced more than 500 Xiaomanlu autonomous vehicles to serve millions of teachers and students, realizing normal operation.

Companies' quicker pace of carrying out their large-scale implementation plans has a strong bond with maturing autonomous delivery vehicle technology and declining vehicle cost.

Key Topics Covered:

1. Autonomous Delivery Vehicle

1.1 Definition and Classification

1.2 Main Application Scenarios

1.3 Outdoor Autonomous Delivery Application Scenarios

1.4 Composition of Autonomous Delivery Vehicle system

1.5 Main sensors and Characteristics of Autonomous Delivery Vehicle

1.6 Chassis-by-Wire of Autonomous Delivery Vehicle

1.7 Computing Platform of Autonomous Delivery Vehicle

1.8 of Autonomous Delivery Industry Chain

1.9 Parameter Information of Some Autonomous Delivery Vehicle

1.10 New Autonomous Delivery Products in 2022H1

1.11 Application of Autonomous Delivery During Epidemic in 2021-2022H1

1.12 Autonomous Delivery Commercialization Stage

1.13 Challenges Faced by Autonomous delivery Vehicle

1.14 Development of Major Domestic Autonomous Delivery Enterprises

1.15 Commercial Progress of Major Foreign Autonomous Delivery Vehicle

2. Autonomous Delivery Related Policies

2.1 Policies Related to Domestic Autonomous Delivery

2.2 Foreign Autonomous Delivery Policy: the United States

2.3 Foreign Autonomous Delivery Policy: Europe

2.4 Foreign Autonomous Delivery Policy: Japan

3. Low-speed Autonomous Delivery Market

3.1 Global Market

3.1.1 Market Size

3.1.2 Major Autonomous Delivery Companies and Their Development

3.2 Chinese market

3.2.1 Market Size

3.2.2 Operation of Major low-speed Autonomous Delivery Vehicle Companies in China

3.2.3 Market Demand

3.2.4 Development of Express Delivery and Instant Delivery Accelerates Landing of Autonomous Delivery Vehicle

3.3 Development Trend

3.3.1 Autonomous Delivery Vehicle Replace Manual Acceleration

3.3.2 Cost of Autonomous Delivery Vehicle is Reducing Quickly

3.3.3 Autonomous Delivery Vehicle Industry will Enter a Period of Rapid Development in 2023

3.3.4 Active Financing: Financing of Low-speed Autonomous Delivery Enterprises

3.3.5 Scenario Continues to Expand, and Technology Accelerates Iteration

3.3.6 More Automakers join Autonomous Delivery Industry

4 Layout of Autonomous Delivery Vehicle of Major Application Providers

4.1 JD.com Logistics Technology

4.1.1 Development History

4.1.2 Autonomous Delivery Vehicle Layout

4.1.3 Autonomous Delivery Vehicle 5.0

4.1.4 Autonomous Delivery Vehicle Landing Case

4.1.5 Robot Application Planning

4.1.6 Autonomous Driving Architecture

4.2 Meituan

4.2.1 Previous Strategic Adjustments

4.2.2 Development History of Meituan Autonomous Delivery

4.2.3 Autonomous Delivery Vehicle: Magic Bag 20

4.2.4 Hao.ai and HeSai Help Magic Bag 20

4.2.5 Autonomous Delivery Vehicle Landing Case

4.2.6 Core Technology Architecture of Autonomous Delivery

4.2.7 Advantages of Autonomous Delivery

4.3 Alibaba Autonomous Delivery

4.3.1 Development History of Alibaba Autonomous Delivery

4.3.2 Autonomous Delivery Vehicle: Xiaomanlu and its Core Competitiveness

4.3.3 Operation Data of Xiaomanlu

4.3.4 Landing Case of Xiaomanlu

4.3.5 Damanlu

4.4 Overall Comparison of Autonomous Delivery of JD.com, Meituan, Ali Xiaomanlu

5 Major Low-Speed Autonomous Delivery Vehicle Vendors in China

5.1 Unity Drive

5.1.1 Profile

5.1.2 Development History

5.1.2 Main Products

5.1.2 Remote Cockpit

5.1.2 TaaS System

5.1.3 Technical Advantages

5.1.4 Operation Cases

5.1.5 Partners

5.2 Go Further.AI

5.3 White Rhino Zhida

5.4 Neolix

5.5 Uisee Technology

5.6 Haomo.ai

5.7 MOVE-X

5.8 Idriverplus

5.9 CYBER-AI

5.10 Candela (Shenzhen) Technology

5.11 Ant Ranger Technology

5.12 Whale Dynamic

5.13 Hunan Apollo Intelligent Transportation

5.14 Jushi Technology

5.15 Excelland AI

5.16 Pudu Technology

5.17 Nuro

For more information about this report visit https://www.researchandmarkets.com/r/h93tzl

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