Research and judgment report on the market supply and demand situation and development prospects of China's intelligent networked unmanned sweeper industry

2024-2030 China Intelligent Connected Unmanned Sweeper Industry Market Supply and Demand Situation and Development Prospect Research and Judgment Report

Report No.: 1756209

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The "2024-2030 China Intelligent Connected Unmanned Sweeper Industry Market Supply and Demand Situation and Development Prospect Research and Judgment Report" released by Boyan Consulting has 12 chapters. Firstly, the market development environment of the intelligent networked unmanned sweeper industry and the overall operation situation of the intelligent networked unmanned sweeper are introduced, and then the current situation of the market operation of the intelligent networked unmanned sweeper industry is analyzed, and then the competition pattern of the intelligent networked unmanned sweeper market is introduced. Subsequently, the report analyzes the business conditions of key enterprises on the intelligent networked unmanned sweeper, and finally analyzes the development trend and investment forecast of the intelligent networked unmanned sweeper industry. If you want to have a systematic understanding of the intelligent networked unmanned sweeper industry or want to invest in the intelligent networked unmanned sweeper industry, this report is an indispensable and important tool for you.

The data of this research report mainly use national statistical data, General Administration of Customs, questionnaire survey data, and data collected by the Ministry of Commerce. Among them, the macroeconomic data mainly comes from the National Bureau of Statistics, some industry statistics mainly come from the National Bureau of Statistics and market research data, the enterprise data mainly comes from the National Bureau of Statistics large-scale enterprise statistical database and stock exchanges, etc., and the price data mainly comes from various market monitoring databases.

Table of contents of the text

Chapter 1 Overview of the development of the intelligent networked unmanned sweeper industry

1.1 Definitions, Concepts

1.1.1 The concept of Internet of Vehicles

1.1.2 Internet car concept

1.1.3 The concept of smart cars

1.1.4 Driverless car concept

1.1.5 Intelligent networked vehicle concept

1.1.6 Unmanned sweepers

1.1.7 Intelligent networked unmanned sweeper

1.2 Intelligent vehicle architecture

1.2.1 Intelligent vehicle technology chain

1.2.3 Functional structure of intelligent vehicles

1.3 The cyclical nature of the intelligent networked unmanned sweeper industry

1.3.1 The cyclical nature of the industry

1.3.2 Seasonality of the industry

1.4 The position of the intelligent networked unmanned sweeper industry in the national economy

1.5 Life cycle analysis of the intelligent networked unmanned sweeper industry

1.5.1 Theoretical basis of industry life cycle

1.5.2 The life cycle of the intelligent networked unmanned sweeper industry

Chapter 2: Exploration and Practice of Intelligent Connected Vehicle Business Model

2.1 The business model of the traditional automotive industry is facing adjustments

2.2 Actively explore the business model of intelligent networked vehicles

2.2.1 Emerging Application Scenarios

2.2.2 Business model update

2.2.3 Exploration of business models in typical application scenarios

2.3 The business model of intelligent networked vehicles has obvious advantages

2.3.1 Superior system

2.3.2 The market is broad

2.3.3 Capital maturity

2.3.4 Strong demand

2.3.5 Technical core

2.4 Prospects for the promotion of ICV business models

Chapter 3 Research on the status quo and test methods of C-V2X intelligent sweepers

3.1 Development status of unmanned sweepers

3.2 Key technologies of unmanned sweepers

3.3 Study of test methods

3.3.1 Communication Delay Test

3.3.2 5G Bandwidth Test

3.3.3 Fixed-point parking accuracy test

3.3.4 Traffic light display recognition

3.3.5 Car-following test

3.3.6 Obstacle avoidance test

3.3.7 Intersection turn test

3.4 Analysis of test results

3.5 Summary

Chapter 4 Policy Environment for the Development of China's Intelligent Connected Unmanned Sweeper Industry

4.1 Policy system

4.1.1 Regulatory system

4.1.2 Policy Summary

4.1.4 Industry Standards

4.1.4 Policy plan

4.2 Policy outcomes

4.2.1 National level

4.2.2 Local level

4.3 Policy analysis in sub-sectors

4.3.1 Automotive Industry Policy

4.3.2 Artificial intelligence industry policy

4.3.3 Big data industry policy

4.3.4 Cloud computing industry policies

4.3.5 Intelligent transportation industry policies

4.3.6 Smart city industry policies

4.3.7 Network Information Security Policy

4.4 Policies

4.4.1 Regulations for the Administration of Road Testing of Intelligent Connected Vehicles (for Trial Implementation):

4.4.2 Intelligent Vehicle Innovation and Development Strategy:

4.4.4 Key Points of Standardization of Intelligent Connected Vehicles in 2023:

4.4.4 General Technical Specifications for Auxiliary Facilities for Highway Engineering Adaptation to Autonomous Driving (Draft for Comments):

4.5 Policy Implications

4.5.1 The development direction of the industry under the guidance of policies

4.5.2 Analysis of the impact of innovation development strategy policies

4.5.3 Policy system issues under the new situation

Chapter 5 Research on the development status of China's intelligent networked unmanned sweeper industry

5.1 The development history of China's intelligent networked unmanned sweeper industry

5.2 Factors influencing the market development of China's intelligent networked unmanned sweeper industry

5.2.1 Drivers of the market development of China's intelligent networked unmanned sweeper industry

5.2.2 Constraints on the market development of China's intelligent networked unmanned sweeper industry

5.2 The market status of China's intelligent networked unmanned sweeper industry

5.1.1 Production and sales of sweepers in China from 2019 to 2023

5.1.2 Production and sales of intelligent networked unmanned sweepers

5.2.3 China's intelligent networked unmanned sweeper market size from 2019 to 2023

5.3 The market competition pattern of China's intelligent networked unmanned sweeper industry

5.4 Penetration rate of China's intelligent networked unmanned sweeper industry

5.5 Survey of major players of China's intelligent networked unmanned sweepers

5.6 Survey of China's intelligent networked unmanned sweeper industry chain

5.6.1 Industry chain model of intelligent networked unmanned sweeper

5.6.2 Ecological map of the industrial chain of intelligent networked unmanned sweepers

5.6.3 The main value-added links of the intelligent networked unmanned sweeper industry chain

Chapter 6 Survey of China's Intelligent Connected Unmanned Sweeper Industry Chain - Upstream End

6.1 The main links in the upstream of the industrial chain of intelligent networked unmanned sweepers

6.1.1 Chips

(1) Computing chips

(2) Communication chips

(3) Power semiconductors

(4) Power management chip

(6) Memory chips

6.1.2 On-Board Software

(1) High-precision maps

(2) High-precision positioning

(3) Middleware

(4) Operating system

(6) Information Security

6.1.3 Communications Equipment

(1)T-BOX

(2)BOTH

(3) Vehicle communication module

(4) Vehicle gateway

6.1.4 Sensing devices

(1) Environmental perception devices

(2) Body perception equipment

6.2 Research on the upstream market status of the intelligent networked unmanned sweeper industry chain

6.2.1 Current status of the chip market

6.2.1 Current status of the in-vehicle software market

6.2.3 Current status of the communication equipment market

6.2.4 Current status of the sensing equipment market

6.3 Survey of major players in the upstream of the intelligent networked unmanned sweeper industry chain

6.3.1 Chip Major Players

6.3.2 Major players of in-vehicle software

6.3.3 Major players in communication equipment

6.3.4 Sensing Devices Major Players

6.4 The impact of the upstream of the intelligent networked unmanned sweeper industry chain on the industry

Chapter 7 Survey of China's Intelligent Connected Unmanned Sweeper Industry Chain - Midstream End

7.1 The main link in the middle of the industrial chain of intelligent networked unmanned sweepers

7.1.1 Perform system integration

(1) Wire-controlled chassis

(2) Electrical and electronic architecture

7.1.2 Intelligent cockpit solutions

(1) Hardware layer

(2) Application layer

7.1.3 Intelligent driving solutions

(1) Intelligent driving software basic platform

(2) Intelligent driving domain controller

(3) Full-stack intelligent driving solutions

7.2 Research on the current situation of the midstream market of the intelligent networked unmanned sweeper industry chain

7.2.1 Implementation System Integration Market Status

7.2.1 The current state of the intelligent cockpit solution market

7.2.3 Market Status of Intelligent Driving Solutions

7.3 Survey of major players in the midstream of the intelligent networked unmanned sweeper industry chain

7.3.1 Execution System Integration Major Players

7.3.2 Key players in intelligent cockpit solutions

7.3.3 Key players in intelligent driving solutions

7.4 The impact of the midstream of the intelligent networked unmanned sweeper industry chain on the industry

Chapter 8 Import and Export Survey of China's Intelligent Networked Unmanned Sweeper Industry

8.1 Investigation on the import situation of the intelligent networked unmanned cleaning industry

8.1.1 Import volume of intelligent networked unmanned cleaning industry from 2019 to 2023

8.1.2 Import value of intelligent networked unmanned cleaning industry from 2019 to 2023

8.1.3 Import sources of intelligent networked unmanned cleaning industry in 2023

8.1.4 Import prices of the intelligent networked unmanned cleaning industry from 2019 to 2023

8.2 Investigation on the export situation of the intelligent networked unmanned cleaning industry

8.2.1 The number of exports of the intelligent networked unmanned cleaning industry from 2019 to 2023

8.2.2 Export value of intelligent networked unmanned cleaning industry from 2019 to 2023

8.2.3 Export flow of the intelligent networked unmanned cleaning industry in 2023

8.2.4 Export prices of the intelligent networked unmanned cleaning industry from 2019 to 2023

Chapter 9 Survey on the Development of Large-scale Demonstration Applications of Intelligent Connected Vehicles in Shanghai

9.1 Development Background

9.2 Application Scenarios

9.2.1 Smart Rentals

9.2.2 Smart logistics (smart heavy trucks)

9.2.3 Low-speed unmanned vehicles

(1) No one cleans

(2) Unmanned retail

(3) Unmanned delivery

9.3 Element Analysis

9.3.1 The Shanghai government has made a series of breakthroughs in policy output and infrastructure construction

(1) The Shanghai government has exported a series of policies and regulations

(2) The Shanghai government is actively deploying infrastructure construction

9.3.2 Shanghai's ICV enterprises have a city-wide layout and leading technological innovation

9.3.3 Third-Party Institutional Blessings

(1) Build a demonstration area for intelligent networked vehicles and export the "Shanghai model"

(2) Export some national, industry, and group standards and specifications

(3) Build a data analysis and monitoring platform for road test of intelligent networked vehicles in Shanghai

9.4 Existing Issues

9.5 Work Prospects

Chapter 10 Recommended Key Enterprises in China's Intelligent Connected Unmanned Sweeper Industry

10.1 Guangzhou Scitech Intelligent Technology Co., Ltd

10.1.1 Enterprise development

10.1.2 Business layout of intelligent networked unmanned sweepers

10.1.3 Overview of the company's main products

10.1.4 The core competitive advantage of the enterprise

10.1.5 Enterprise development strategy analysis

10.2 Hangzhou Taren Robot Technology Co., Ltd

10.2.1 Enterprise Development Overview

10.2.2 Yunchuang Zhixing Technology (Suzhou) Co., Ltd

10.2.3 Overview of the company's main products

10.2.4 Core competitive advantages of enterprises

10.2.5 Analysis of enterprise development strategy

10.3 City Light (Shenzhen) Unmanned Driving Co., Ltd

10.3.1 Enterprise Development Overview

10.3.2 Business layout of intelligent networked unmanned sweepers

10.3.3 Overview of the company's main products

10.3.4 Core competitive advantages of enterprises

10.3.5 Enterprise development strategy analysis

10.4 Jiangsu Jitri Intelligent Manufacturing Technology Research Institute Co., Ltd

10.4.1 Overview of enterprise development

10.4.2 Business layout of intelligent networked unmanned sweepers

10.4.3 Overview of the company's main products

10.4.4 The core competitive advantage of the enterprise

10.4.5 Analysis of enterprise development strategy

10.5 Suzhou Fanxiang Automotive Technology Co., Ltd

10.5.1 Overview of enterprise development

10.5.2 Business layout of intelligent networked unmanned sweepers

10.5.3 Overview of the company's main products

10.5.4 Core competitive advantages of enterprises

10.5.5 Analysis of enterprise development strategy

10.6 Shanghai Yika Zhiche Technology Co., Ltd

10.6.1 Overview of enterprise development

10.6.2 Business layout of intelligent networked unmanned sweepers

10.6.3 Overview of the company's main products

10.6.4 The core competitive advantage of the enterprise

10.6.5 Analysis of enterprise development strategy

10.7 Shuntai Automobile Co., Ltd

10.7.1 Enterprise Development Overview

10.7.2 Business layout of intelligent networked unmanned sweepers

10.7.3 Overview of the company's main products

10.7.4 Core competitive advantages of enterprises

10.7.5 Analysis of enterprise development strategy

10.8 Xiantu Intelligence

10.8.1 Overview of enterprise development

10.8.2 Business layout of intelligent networked unmanned sweepers

10.8.3 Overview of the company's main products

10.8.4 Core competitive advantages of enterprises

10.8.5 Analysis of enterprise development strategy

Chapter 11 Intelligent Connected Unmanned Sweeper Industry Development Prospect and Market Space Forecast

11.1 The development trend of China's intelligent networked unmanned sweeper industry

11.1.1 Industry Development Trends

11.1.2 Technology Development Trends

11.2 Forecast of the development prospect of the intelligent networked unmanned sweeper industry

11.2.1 2024-2030 China Intelligent Connected Unmanned Sweeper Market Supply Forecast

11.2.2 2024-2030 China Intelligent Connected Unmanned Sweeper Market Demand Forecast

11.2.3 China Intelligent Connected Unmanned Sweeper Market Size Forecast 2024-2030

11.3 Investment characteristics of China's intelligent networked unmanned sweeper industry

11.3.1 Barriers to entry in the intelligent networked unmanned sweeper industry

(1) Technical barriers

(2) Experience barriers

(3) Talent barriers

11.3.2 Early warning of investment risks in the intelligent networked unmanned sweeper industry

(1) Technical risks

(2) Competition risk

(3) Operational risks

11.4 Investment value and investment opportunities of intelligent networked unmanned sweepers

11.4.1 Investment value of the intelligent networked unmanned sweeper industry

11.4.2 Investment opportunities in the intelligent networked unmanned sweeper industry

Chapter 12 Research Summary and Development Suggestions of Intelligent Connected Unmanned Sweeper Industry

12.1 Research summary of intelligent networked unmanned sweeper industry

12.1.1 Characteristics of the intelligent networked unmanned sweeper industry

12.1.2 Domestic substitution trend of intelligent networked unmanned sweepers

12.1.3 Challenges in the ICV industry

12.2 Ways to enhance the competitiveness of the intelligent networked unmanned sweeper industry

12.3 Suggestions for the development of the intelligent networked unmanned sweeper industry

12.3.1 Development strategy of intelligent networked unmanned sweeper industry

12.3.2 Investment direction of intelligent networked unmanned sweeper industry

12.3.3 Investment methods in the intelligent networked unmanned sweeper industry