China Autonomous Retail Vehicle Industry Report 2022: Lower Costs Accelerate Mass Production with Ever-spreading Retail Scenarios – ResearchAndMarkets.com

DUBLIN–(BUSINESS WIRE)–The “China Autonomous Retail Vehicle Industry Report, 2022” report has been added to ResearchAndMarkets.com’s offering.

Lower Costs Accelerate Mass Production with Ever-spreading Retail Scenarios

Autonomous retail vehicles integrate technologies such as 5G, artificial intelligence, big data, mobile Internet and autonomous driving. They can move with the changes in the surrounding traffic autonomously. Users can hail such vehicles directly through APPs, and then they will arrive at the designated location accurately to provide convenient services.

At present, the digital economy has become the key engine of China’s economic development. According to information from the Ministry of Industry and Information Technology, China has built 1.615 million 5G base stations so far, serving more than 400 million 5G users. China is a global leader in 5G infrastructure, mobile Internet ecology, and e-commerce.

Smartphones have become the preferred terminals of the digital economy, smart cars will become the second-ranking terminals, and autonomous retail vehicles act as not only important terminals connecting e-commerce services and smartphones, but also core intelligent terminals that realize the transition from `people looking for services` to `services looking for people` (or `goods looking for people`).

Autonomous retail vehicles are widely used in smart scenic spots, AI parks, commercial streets, zones, squares and other places for selling high-demand products such as beverages, breakfast, fast food, fresh products, and even shoes. Mobile new retail lets goods look for people. Users can stop autonomous vending vehicles by scanning QR codes, beckoning, and touching displays, and pay for what they choose by QR code scanning. This mode is time-saving, convenient and easy.

For merchants, presenting products in front of customers in crowded areas (subway entrances, business districts, zones, etc.) during rush hours and lunch break when the demand hits the maximum can significantly increase the transaction volume. The service radius of merchants has been expanded from 1-2 kilometers to 5 kilometers.

The policies for low-speed autonomous vehicles have been gradually improved

As low-speed autonomous vehicles, autonomous retail vehicles are used in cargo-carrying scenarios that are easier to handle. On May 25, 2021, Beijing High-level Autonomous Driving Demonstration Zone released the `Implementation Rules for the Management of Autonomous Delivery Vehicles`, and issued vehicle numbers for autonomous delivery vehicles of JD.com, Meituan and Neolix. Since then, L4 autonomous driving technology has been verified by large-scale testing and on-road operation, which has promoted the vigorous development of China’s autonomous delivery industry.

Neolix launched nearly 1,000 autonomous vehicles in 2021, and plans to roll out another 2,000 autonomous delivery vehicles in 2022. Meituan plans to deploy 1,000 autonomous delivery vehicles in Shunyi District within three years, and put a total of 10,000 such vehicles into operation nationwide to achieve multi-city, multi-scenario and all-weather coverage.

Up to now, Beijing High-level Autonomous Driving Demonstration Zone has granted a total of 225 test licenses, including 86 body codes for autonomous delivery vehicles. So far, the demonstration zone has started the third phase of the construction project. In the demonstration zone, 332 digital intelligent intersections have been fully covered by the infrastructure within a range of 60 square kilometers. Scenarios such as autonomous retail, autonomous police patrols, and micro-circulation shuttling have approached citizens.

At the beginning of March 2022, Shanghai Municipal Transportation Commission announced that a total of 13 solutions for Shanghai Intelligent Connected Vehicle Demonstration Application Innovation Project had been confirmed after companies’ voluntary application, on-site evaluation and solution review according to the `Implementation Plan for the Expansion of Demonstration Application Scenarios of Intelligent Connected Vehicles in Shanghai (2021-2023)`. Among them, 2 solutions were involved with `smart retail`, requiring `no less than 20 smart retail vehicles” in operation.

Key Topics Covered:

1 Overview of Autonomous Retail Vehicles

1.1 Mobile Retail Is a Form of Autonomous Delivery

1.1.1 Hardware Indicators of 12 Typical Autonomous Delivery Vehicles

1.1.2 Cost Downtrend of Autonomous Delivery Vehicles

1.2 Introduction to Autonomous Retail Vehicles

1.3 Business Models of Autonomous Retail Vehicles

1.4 Three Core Components of Autonomous Retail Vehicles: LiDAR

1.4 Three Core Components of Autonomous Retail Vehicles: Computing Platform

1.4 Three Core Components of Autonomous Retail Vehicles: Chassis-by-Wire

1.5 Growth Background of Autonomous Retail Vehicles (1): Vigorous Growth of Social Logistics

1.5 Growth Background of Unmanned Retail Vehicles (2): Blowout of Express Delivery Business

1.5 Growth Background of Unmanned Retail Vehicles (3): Enormous Number of Mobile Payment Netizens

1.5 Growth Background of Unmanned Retail Vehicles (IV): Gradual Maturity of Autonomous Delivery Industry Chain

2 Autonomous Delivery Policies

2.1 Some Chinese Policies for Autonomous Delivery

2.2 Overseas Policies for Autonomous Delivery

2.3 Low-speed Autonomous Vehicle Safety Management and Accident Insurance

3 Autonomous Retail Vehicle Companies in China

3.1 WeDrive.Al

3.2 Go Further AI

3.3 Yours

3.4 Neolix

3.5 Unity Drive

3.6 Go Further AI

3.7 UISEE

3.8 CYBER-AI

3.9 Hangzhou Skywilling

3.10 Hunan Apollo Intelligent Transportation

3.11 In-driving Tech

3.12 Jushi Technology

3.13 Elife

3.14 Wuling

3.15 White Rhino

4 Major Providers of Basic Chassis for Autonomous Retail Vehicles in China

4.1 Ecar Tech

4.2 Teemo

4.3 PIX Moving

4.4 Haomo.AI

4.5 MOVE-X

For more information about this report visit https://www.researchandmarkets.com/r/b1rs07

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