China Smart Parking Industry Report, 2020
  • Jan.2021
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Smart Parking Industry Report, 2020 highlights the status quo and trends of the industry, policies, standards and planning, and layout in major cities, as well as development of segments like stereo garage, smart parking cloud platform, senseless payment, parking big data, and AVP smart parking service.

Smart parking, a combination of multiple technologies such as wireless communication, sensors, video capture and transmission, intelligent recognition, Internet of Things, mobile terminals, positioning, map, and senseless payment, is used for providing urban parking space services from information collection, management and inquiry to reservation and navigation, delivering maximum utilization of parking resources, the highest profits for parking lots, and the best user parking experience. 

By levels of information and technologies, smart parking develops in three stages: Stage 1.0, senseless payment and unmanned operation; Stage 2.0, intelligent management of parking spots; Stage 3.0, vehicle-parking lot integrated AVP. In current stage, accompanied by the growth in automotive industry, smart parking in China is in the phase of rapid shift from Stage 1.0 to Stage 2.0, specifically as below:

Stage 1.0: hardware devices offer constant upgrades and improvements, allowing for senseless payment and unmanned operation and management of parking lots

At present, smart parking lots in China are built mainly through renovation of existing ones, for example, adding systems and devices such as license plate recognition, geomagnetic devices, high and low video piles, sensors, and senseless payment, which are used to collect data and information for single parking lots, build parking management platforms and develop parking APPs, WeChat official accounts and applets. The scattered data and information in this stage only enable basic features like online inquiry of parking lots and senseless payment for parking.

Currently, there are three common ways to realize senseless payment: scan to pay, ETC, and license plate recognition + password-free payment service provided by Alipay, QuickPass, WeChat and banks. Scan to pay is the most widely used method in China for it is easy to set up and operate. WeChat, Alipay, UnionPay and quite a few parking APPs have made this deployment. 

ETC-enabled parking lots, as one of the expansion models of ETC-enabled smart city, have been deployed in a number of provinces and cities including Beijing, Shanghai, Guangdong, Nanjing, Chengdu and Taiyuan since 2020. In Beijing’s case, 300 parking lots (with around 150,000 parking spots) have realized payment via ETC system covering 24 hospitals, 23 hubs, 95 commercial complexes, 66 residential communities and 20 scenic parks, by the end of 2020. They handle more than 2 million deals each month. In 2021, Beijing plans ETC payment gradually available to all roadside parking spaces.  

The downtown Zhengzhou City in Henan Province has seen nearly 300 parking lots offering ETC services as of 2020. Dengfeng, a tourist city under the jurisdiction of Zhengzhou has had 86 parking lots (with around 13,000 parking spots) completing installation and operation of ETC systems, and plans ETC deployment in all parking lots of 19 scenic spots like Shaolin Monastery in 2021.

As well as policies, besides promoting ETC payment among car users, on December 23, 2020, the General Office of the Ministry of Transport of China issued the Notice on Carrying out ETC-enabled Smart Parking Pilot Projects for Urban Construction, according to which, 27 pilot cities including Beijing and Jiangsu Province as a provincial pilot zone will be the first one to launch ETC-enabled smart parking pilot projects, expand coverage of ETC service capabilities, and widen use of ETC in parking scenario, providing better and more convenient mobility for the public. ETC-enabled parking lots are expected to usher in a boom period in 2021. The rapid growth of ETC-enabled smart parking will come with the fusing of high-level video and ETC payment technologies.   

Parking 1_副本.png

Moreover, the senseless payment method that combines parking lot license plate recognition and password-free fast payment has been deployed by quite a few companies and banks, such as WeChat, Alipay, UnionPay, ICBC and China Construction Bank. In the process, before the first use, car owners need to bind their bank card by signing a protocol on their smartphone, or their car license plate via a smartphone parking APP, and the fees will be deducted automatically from the online account with no need for scanning code or paying in cash, allowing for pass in seconds at the exit, if they drive into a contracted parking lot.

Parking 2_副本.png

Stage 2.0: build city-level smart parking management cloud platforms and three-level parking guidance systems, and create and improve parking big data products to enable advanced capabilities such as available parking spot inquiry, dynamic update and parking spot reservation.

Based on the Stage 1.0, the city-level smart parking management cloud platform system is at the heart of the Stage 2.0, responsible for integrating static data of districts and counties of a city and many parking lots, and analyzing and controlling an array of resources, so as to provide other smart parking services for car owners in addition to senseless payment.  

Simulated by new infrastructure, intelligent technologies and favorable policies, cities race to launch their city-level smart parking management platforms for a faster pace of deploying smart parking projects. Statistically, as of June 2020, there ae 26 provinces introducing a total of 143 such platforms, and several provinces and municipalities carrying out the projects.

Parking 3_副本.png

For project model, city-level smart parking projects are led by local departments and built or operated in harness with companies. Besides conventional parking service providers and security firms, parking start-ups, and internet and technology firms are players as well.

On the strength of their own edges, internet companies such as Baidu, Alibaba and Tencent rush to the fore in making deployments in smart parking market. For example, Alibaba and Tencent both deploy their own senseless parking payment systems and products via Alipay and WeChat apiece, and roll out their own smart parking solutions based on their own cloud products.

On June 8, 2020, Alibaba Cloud unveiled Zhiwei Parking System, its new-generation lightweight unattended parking lot service solution, and released its urban partner program. In 2020, Alibaba Cloud completed Jincheng smart parking management platform and parking spot renovation equipment procurement project, and Haining China Leather City digital intelligent transformation, smart parking management system & digital security passenger flow project; also undertook Fengqiao Street smart parking management system project in Suzhou National Hi-Tech District, which is scheduled to be completed in 2021; in December 2020, Alibaba Cloud won the bidding for the city-level smart parking integrated management (information system) platform, and intelligent equipment installation & construction project of Tengzhou City in Shandong Province.

Based on its map and cloud products, Baidu introduced its smart parking solution in May 2020; it also joined hands with Vanke SCPG Shanghai to build a shopping center with smart parking lots equipped with smart parking systems that integrate with smart parking and shopping mall navigation, for Shanghai Nanxiang Incity Mega.

Parking 4_副本.png

In addition, in an upsurge of new infrastructure and smart city, several smart parking firms were in the spotlight of capital in 2020. For instance, in early 2020, Carlinkin closed an A+ funding round, raising RMB10 million; in the second half of 2020, Aipark finished four funding rounds; in January 2020, Sunsea Parking announced USD100 million raised from Goldman Sachs and Anchor Equity Partners in a Series B funding round. 

Stage 3.0: automated valet parking holds the trend for the fusion of clever cars and smart parking lots 
As intelligent connectivity, autonomous driving, V2X and HD map, among other technologies mature and advance, intelligent vehicles gather pace. At present, passenger cars equipped with L2 driving assistance function have gone into series production, and tend to feature L3 and L4 autonomy. How to enable L2 and L2+ intelligent vehicles to drive themselves in the closed smart parking lot scenario constitutes the megatrend and goal of smart parking development, that is, cooperation between cars and parking lots helps to realize automated valet parking (AVP).

In recent two years, players like smart parking solution providers, internet tycoons, automakers and auto parts suppliers have strained to explore and deploy in this field. Yet, AVP is still in the phase of R&D, test and demonstration due to negative factors like incomplete regulations and immature technology. Wide adoption of fully AVP is still some way off.

In October 2020, Bosch, Mercedes-Benz, and the parking garage operator Apcoa jointly deployed a set of automated valet parking (AVP) system in the P6 Parking Garage at Stuttgart Airport. The AVP system Bosch calls “INTELLIGENT PARK PILOT” is to be made ready for commercial operation. It currently supports New Mercedes-Benz S-Class sedans launched in September 2020. 

APCOA FLOW, the parking garage digital platform, and newly-added devices like Bosch’s new camera and LiDAR make the S-Class with Bosch’s AVP system capable of receiving information from LiDAR and cameras, and the parking garage control center will then work out the parking route and send to the car through network. Guided by infrastructure, the car will find the parking spot automatically and park itself, without manual intervention in the whole process.

Parking 5_副本.png

1. Overview of Smart Parking
1.1 Definition
1.2 Development History of Parking Lots
1.3 Development Path of Smart Parking 
1.4 Smart Parking Architecture
1.5 Main Technologies
1.6 Demand of Government for Smart Parking
1.7 Demand of Operators for Smart Parking
1.8 Demand of Car Owners for Smart Parking
1.9 Smart Parking Industry Chain

2. Status Quo and Trends of Smart Parking industry
2.1 Demand  
2.2 Common Issues of Project Construction
2.3 Business Models
2.4 Types of Smart Parking Companies
2.5 Profit Models
2.6 Main Products of Smart Parking Solution Providers
2.7 Parking Lot Layout of Major Companies
2.8 Smart Parking Layout of Major Technology Companies
2.9 Financing of Major Companies
2.10 Development Constraints
2.11 Development Trends
2.12 Market Size Forecast

3. Smart Parking Market Segments
3.1 Mechanical Stereo Garages
3.1.1 Profile of Mechanical Garages
3.1.2 Construction of Mechanical Garages in China
3.1.3 Summary of Major AGV Garage Projects
3.1.4 Major AGV Parking Robot Companies
3.1.5 Stereo Garage Suppliers

3.2 Smart Parking Management Cloud Platform
3.2.1 Informationized Parking Lot
3.2.2 Smart Parking Data Cloud Platform
3.2.3 City-level Smart Parking Platform Architecture
3.2.4 Software Function Architecture of City-level Smart Parking Management Platform
3.2.5 Smart Parking Operation Management APP

3.3 Smart Parking Senseless Payment 
3.3.1 Business Models of Parking Lot Toll and Payment
3.3.2 Development History of Parking Toll and Payment
3.3.3 Main methods of Parking Lot Senseless Payment
3.3.4 Layout of Parking Lot Senseless Payment Enterprises
3.3.5 ETC Parking Lot Senseless Payment
3.3.6 Implementation and Basic Settlement Process of ETC Smart Parking
3.3.7 ETC Smart Parking Lot Scale Forecast
3.3.8 Pilot Cities of ETC Smart Parking Construction
3.3.9 ETC Parking Lot Layout in Major Cities

3.4 Telematics Smart Parking Services
3.4.1 Profile of Telematics Smart Parking Data Products
3.4.2 Main Products
3.4.3 OEM Parking Service Procurement Models
3.4.4 Major Parking Service Companies and Product Layout
3.4.5 Parking Service Providers of Major OEMs
3.4.6 Parking Service Layout of Major OEMs
3.4.7 Product Layout of Telematics Smart Parking Data Service Providers
3.4.8 Indoor Map Layout of Smart Parking Lots 
3.4.9 Cases

3.5 AVP Smart Parking 
3.5.1 Requirements of Three AVP Technology Roadmaps on Parking Lots
3.5.2 AVP Parking Lot Scenario Selection
3.5.3 AVP Parking Lot Profit
3.5.4 Requirements of Major Enterprises' AVP Solutions on Parking Lot Facilities 
3.5.5 AVP Parking Lot Facility Investment Forecast
3.5.6 Intelligent Construction of Parking Lot AVP
3.5.7 Development Trends of AVP Strong Field Test Solutions
3.5.8 Vehicle-Parking Lot Integrated AVP Solutions 
3.5.9 Cases of Vehicle-Parking Lot Integration

4. Smart Parking Policies/Standards and Planning in Major Provinces and Cities
4.1 Policies
4.1.1 China's Parking Policy in 2020
4.1.2 National Smart Parking Policy
4.1.3 Smart Parking Policies of Major Provinces/Cities: Beijing
4.1.4 Smart Parking Policies of Major Provinces/Cities: Shanghai
4.1.5 Smart Parking Policies of Major Provinces/Cities: Shenzhen
4.1.6 Smart Parking Policies of Major Provinces/Cities: Guangdong Province and Guangzhou City
4.1.7 Smart Parking Policies of Major Provinces/Cities: Others

4.2 Standards
4.2.1 Smart Parking Standards: National Standards
4.2.2 Smart Parking Standards: Local Standards 

4.3 Planning 
4.3.1 National Smart Parking Planning
4.3.2 Smart Parking Planning in Major Provinces and Cities (1)
4.3.2 Smart Parking Planning in Major Provinces and Cities (2)
4.3.2 Smart Parking Planning in Major Provinces and Cities (3)
4.3.3 Smart Parking Construction Planning of Some Cities in 2020
4.3.4 Smart Parking Plan of Major Cities/Districts/Counties in 2021

5. Smart Parking Layout and Typical Cases in Major Cities
5.1 Smart Parking Projects in Major Cities
5.1.1 City-Level Smart Parking Projects
5.1.2 Smart Parking Management Cloud Platform Construction in Major Cities
5.1.3 Intelligent Road Parking in China

5.2 Beijing
5.2.1 Smart Parking Layout
5.2.2 City-level Smart Parking Platform
5.2.3 Static Traffic Data
5.2.4 Road Parking Reform
5.2.5 Shared Parking Layout

5.3 Shanghai
5.3.1 Smart Parking Layout
5.3.2 Construction of Municipal Public Parking Information Platform
5.3.3 Parking APP
5.3.4 Smart Parking Operation Platform
5.3.5 100 Parking Resource Sharing and Utilization Projects
5.3.6 Cases

5.4 Guangdong Province
5.4.1 Smart Parking Layout
5.4.2 Intelligent Road Parking
5.4.3 Cases

5.5 Shenzhen
5.5.1 Smart Parking Layout
5.5.2 Parking Management Measures in 2020
5.5.3 City-level Smart Parking Cloud Platform
5.5.4 "Shared Parking Outside Busy Time" Service Platform
5.5.5 "Yi Parking" App
5.5.6 Smart Parking: Parking Appointment in Hospitals

6. Smart Parking Solution Providers  
6.1.1 Profile 
6.1.2 Operation 
6.1.3 City-level Smart Parking Layout 
6.1.4 Smart Parking Comprehensive Management Platform
6.1.5 Overall City-level Smart Parking Solution
6.1.6 Urban Parking Market Scale
6.1.7 Smart Parking Hardware Business
6.1.8 JParking
6.1.9 Main Cases

6.2.1 Profile 
6.2.2 Intelligent Parking Lot Operation Solution 
6.2.3 Main Products 
6.2.4 Main Projects 

6.3 EZParking
6.3.1 Profile 
6.3.2 Automotive Parking Service System
6.3.3 Cooperation Automotive Brands and Models
6.3.4 Smart Parking Big Data Platform
6.3.5 Indoor Parking Lot HD Map Engine & Parking Lot Management Intelligent Terminal

6.4 ParkingWe
6.4.1 Profile 
6.4.2 Smart Parking Solution 
6.4.3 Partners 

6.5 Parkopedia
6.5.1 Profile 
6.5.2 Parking Big Data Services for OEMs
6.5.3 Smart payment
6.5.4 Main Clients and Partners 

6.6 ETCP
6.6.1 Profile 
6.6.2 ETCP Smart Parking System 
6.6.3 ETCP Parking APP
6.6.4 City-level Static Traffic Platform
6.6.5 infotainment Telematics: Parking data

6.7 Keytop 
6.7.1 Profile 
6.7.2 Roadside Smart Parking Solution 
6.7.3 Parking Lot Group Management Platform
6.7.4 City-level Smart Parking Information Platform
6.7.5 SUPERPARK Autonomous Parking Lot Solution 
6.7.6 Office Building Smart Parking Lot Solution 
6.7.7 Partners 

6.8 Wuyang Parking 
6.8.1 Profile 
6.8.2 Intelligent Mechanical Parking Equipment
6.8.3 My Park  

6.9 Reformer
6.9.1 Profile 
6.9.2 Smart Parking Business 
6.9.3 "Leway" Parking Operation 
6.9.4 Leway Autonomous Parking System 
6.9.5 Leway APP
6.9.6 Cases 

6.10 Cadre
6.10.1 Profile 
6.10.2 Smart Road Parking Solution 
6.10.3 Intelligent Parking Lot Solution 
6.10.4 Dynamic and Static Traffic Guidance System 
6.10.5 TOD Smart Parking Comprehensive Management Platform
6.10.6 Cases 
6.10.7 Main Projects 

6.11 WeLinkPark
6.11.1 Profile 
6.11.2 City-level Parking Operation Platform 
6.11.3 Main Hardware Products (1)
6.11.4 Main Hardware Products (2)

6.12 Huawei
6.12.1 NB-IoT Smart Parking Solution 
6.12.2 Smart Parking Overall Architecture
6.12.3 Parking Operation Management
6.12.4 Park Parking Management
6.12.5 Parking Management on the Road
6.12.6 AVP Smart Parking Solution 
6.12.7 Smart Parking Partners 

6.13 Tencent
6.13.1 Tencent Cloud: Smart Parking Solution
6.13.2 Tencent Cloud: Smart Parking Management Platform Architecture
6.13.3 Tencent Cloud: Urban Parking Partner Plan

6.14 Baidu
6.14.1 Baidu Cloud: Smart Parking Solution
6.14.2 Baidu Map Intelligent Parking Solution

6.15 Alibaba Cloud
6.15.1 Overall Smart Parking Solution Architecture
6.15.2 Lightweight Autonomous Parking Lot Service Solution
6.15.3 Zhiwei Parking Partner Plan
6.15.4 City-level Smart Parking Projects 

6.16 Lowan Smart Parking System 

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