
Tire Recognizing Machine is an important part of the expressway toll-by-weight system. It mainly has the functions of detecting the tire type of the vehicle and judging the driving direction of the vehicle.
The global market for Tyre Recognizing Machines was estimated to be worth US$ million in 2023 and is forecast to a readjusted size of US$ million by 2030 with a CAGR of % during the forecast period 2024-2030.
In 2022, global tire sales reached 1.749 billion units, of which the three major markets of Europe, North America and China will collectively sell 1.14 billion units, accounting for 65% of the total. China is the world's largest tire producer and exporter. Among the top 75 tire companies in 2022 released by Tire Business, 34 are Chinese companies (including 5 from Taiwan), with a total sale of approximately US$ 34.5 billion, accounting for approximately 19.42% of the total global sales. According to data from the National Bureau of Statistics, by the end of December 2022, the output of rubber tire casings in China was about 856 million. According to the data of the General Administration of Customs, in 2022, the cumulative export volume of rubber tires in China was 7.65 million tons, a year-on-year increase of 4.7%; the export value was ¥131.418 billion, an increase of 16%; the trade surplus was 103.709 billion yuan, an increase of ¥15.89 billion.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Tyre Recognizing Machines, focusing on the total sales volume, sales revenue, price, key companies market share and ranking, together with an analysis of Tyre Recognizing Machines by region & country, by Type, and by Application.
The Tyre Recognizing Machines market size, estimations, and forecasts are provided in terms of sales volume (K Units) and sales revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. With both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Tyre Recognizing Machines.
Market Segmentation
By Company
CyXplus
LMI Technologies
MICRO-EPSILON
Steinbichler Optotechnik
Mitsubishi Heavy Industries (MHI) Group
Rizhao Melion Industry
Beijing Xiangyuan Rubber and Tyre Inspection Technology
Segment by Type:
Switch Type
Pressure Sensing Type
Segment by Application
Commercial Vehicle
Passenger Car
By Region
North America
United States
Canada
Europe
Germany
France
U.K.
Italy
Russia
Asia-Pacific
China
Japan
South Korea
China Taiwan
Southeast Asia
India
Latin America
Mexico
Brazil
Argentina
Middle East & Africa
Turkey
Saudi Arabia
UAE
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size (valve, volume and price). This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of Tyre Recognizing Machines manufacturers competitive landscape, price, sales and revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 4: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 5: Sales, revenue of Tyre Recognizing Machines in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Sales, revenue of Tyre Recognizing Machines in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.
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1 Market Overview
1.1 Tyre Recognizing Machines Product Introduction
1.2 Global Tyre Recognizing Machines Market Size Forecast
1.2.1 Global Tyre Recognizing Machines Sales Value (2019-2030)
1.2.2 Global Tyre Recognizing Machines Sales Volume (2019-2030)
1.2.3 Global Tyre Recognizing Machines Sales Price (2019-2030)
1.3 Tyre Recognizing Machines Market Trends & Drivers
1.3.1 Tyre Recognizing Machines Industry Trends
1.3.2 Tyre Recognizing Machines Market Drivers & Opportunity
1.3.3 Tyre Recognizing Machines Market Challenges
1.3.4 Tyre Recognizing Machines Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global Tyre Recognizing Machines Players Revenue Ranking (2023)
2.2 Global Tyre Recognizing Machines Revenue by Company (2019-2024)
2.3 Global Tyre Recognizing Machines Players Sales Volume Ranking (2023)
2.4 Global Tyre Recognizing Machines Sales Volume by Company Players (2019-2024)
2.5 Global Tyre Recognizing Machines Average Price by Company (2019-2024)
2.6 Key Manufacturers Tyre Recognizing Machines Manufacturing Base Distribution and Headquarters
2.7 Key Manufacturers Tyre Recognizing Machines Product Offered
2.8 Key Manufacturers Time to Begin Mass Production of Tyre Recognizing Machines
2.9 Tyre Recognizing Machines Market Competitive Analysis
2.9.1 Tyre Recognizing Machines Market Concentration Rate (2019-2024)
2.9.2 Global 5 and 10 Largest Manufacturers by Tyre Recognizing Machines Revenue in 2023
2.9.3 Global Top Manufacturers by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Tyre Recognizing Machines as of 2023)
2.10 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Switch Type
3.1.2 Pressure Sensing Type
3.2 Global Tyre Recognizing Machines Sales Value by Type
3.2.1 Global Tyre Recognizing Machines Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global Tyre Recognizing Machines Sales Value, by Type (2019-2030)
3.2.3 Global Tyre Recognizing Machines Sales Value, by Type (%) (2019-2030)
3.3 Global Tyre Recognizing Machines Sales Volume by Type
3.3.1 Global Tyre Recognizing Machines Sales Volume by Type (2019 VS 2023 VS 2030)
3.3.2 Global Tyre Recognizing Machines Sales Volume, by Type (2019-2030)
3.3.3 Global Tyre Recognizing Machines Sales Volume, by Type (%) (2019-2030)
3.4 Global Tyre Recognizing Machines Average Price by Type (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Commercial Vehicle
4.1.2 Passenger Car
4.2 Global Tyre Recognizing Machines Sales Value by Application
4.2.1 Global Tyre Recognizing Machines Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global Tyre Recognizing Machines Sales Value, by Application (2019-2030)
4.2.3 Global Tyre Recognizing Machines Sales Value, by Application (%) (2019-2030)
4.3 Global Tyre Recognizing Machines Sales Volume by Application
4.3.1 Global Tyre Recognizing Machines Sales Volume by Application (2019 VS 2023 VS 2030)
4.3.2 Global Tyre Recognizing Machines Sales Volume, by Application (2019-2030)
4.3.3 Global Tyre Recognizing Machines Sales Volume, by Application (%) (2019-2030)
4.4 Global Tyre Recognizing Machines Average Price by Application (2019-2030)
5 Segmentation by Region
5.1 Global Tyre Recognizing Machines Sales Value by Region
5.1.1 Global Tyre Recognizing Machines Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global Tyre Recognizing Machines Sales Value by Region (2019-2024)
5.1.3 Global Tyre Recognizing Machines Sales Value by Region (2025-2030)
5.1.4 Global Tyre Recognizing Machines Sales Value by Region (%), (2019-2030)
5.2 Global Tyre Recognizing Machines Sales Volume by Region
5.2.1 Global Tyre Recognizing Machines Sales Volume by Region: 2019 VS 2023 VS 2030
5.2.2 Global Tyre Recognizing Machines Sales Volume by Region (2019-2024)
5.2.3 Global Tyre Recognizing Machines Sales Volume by Region (2025-2030)
5.2.4 Global Tyre Recognizing Machines Sales Volume by Region (%), (2019-2030)
5.3 Global Tyre Recognizing Machines Average Price by Region (2019-2030)
5.4 North America
5.4.1 North America Tyre Recognizing Machines Sales Value, 2019-2030
5.4.2 North America Tyre Recognizing Machines Sales Value by Country (%), 2023 VS 2030
5.5 Europe
5.5.1 Europe Tyre Recognizing Machines Sales Value, 2019-2030
5.5.2 Europe Tyre Recognizing Machines Sales Value by Country (%), 2023 VS 2030
5.6 Asia Pacific
5.6.1 Asia Pacific Tyre Recognizing Machines Sales Value, 2019-2030
5.6.2 Asia Pacific Tyre Recognizing Machines Sales Value by Country (%), 2023 VS 2030
5.7 South America
5.7.1 South America Tyre Recognizing Machines Sales Value, 2019-2030
5.7.2 South America Tyre Recognizing Machines Sales Value by Country (%), 2023 VS 2030
5.8 Middle East & Africa
5.8.1 Middle East & Africa Tyre Recognizing Machines Sales Value, 2019-2030
5.8.2 Middle East & Africa Tyre Recognizing Machines Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Tyre Recognizing Machines Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions Tyre Recognizing Machines Sales Value
6.2.1 Key Countries/Regions Tyre Recognizing Machines Sales Value, 2019-2030
6.2.2 Key Countries/Regions Tyre Recognizing Machines Sales Volume, 2019-2030
6.3 United States
6.3.1 United States Tyre Recognizing Machines Sales Value, 2019-2030
6.3.2 United States Tyre Recognizing Machines Sales Value by Type (%), 2023 VS 2030
6.3.3 United States Tyre Recognizing Machines Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe Tyre Recognizing Machines Sales Value, 2019-2030
6.4.2 Europe Tyre Recognizing Machines Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe Tyre Recognizing Machines Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China Tyre Recognizing Machines Sales Value, 2019-2030
6.5.2 China Tyre Recognizing Machines Sales Value by Type (%), 2023 VS 2030
6.5.3 China Tyre Recognizing Machines Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan Tyre Recognizing Machines Sales Value, 2019-2030
6.6.2 Japan Tyre Recognizing Machines Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan Tyre Recognizing Machines Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea Tyre Recognizing Machines Sales Value, 2019-2030
6.7.2 South Korea Tyre Recognizing Machines Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea Tyre Recognizing Machines Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia Tyre Recognizing Machines Sales Value, 2019-2030
6.8.2 Southeast Asia Tyre Recognizing Machines Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia Tyre Recognizing Machines Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India Tyre Recognizing Machines Sales Value, 2019-2030
6.9.2 India Tyre Recognizing Machines Sales Value by Type (%), 2023 VS 2030
6.9.3 India Tyre Recognizing Machines Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 CyXplus
7.1.1 CyXplus Company Information
7.1.2 CyXplus Introduction and Business Overview
7.1.3 CyXplus Tyre Recognizing Machines Sales, Revenue and Gross Margin (2019-2024)
7.1.4 CyXplus Tyre Recognizing Machines Product Offerings
7.1.5 CyXplus Recent Development
7.2 LMI Technologies
7.2.1 LMI Technologies Company Information
7.2.2 LMI Technologies Introduction and Business Overview
7.2.3 LMI Technologies Tyre Recognizing Machines Sales, Revenue and Gross Margin (2019-2024)
7.2.4 LMI Technologies Tyre Recognizing Machines Product Offerings
7.2.5 LMI Technologies Recent Development
7.3 MICRO-EPSILON
7.3.1 MICRO-EPSILON Company Information
7.3.2 MICRO-EPSILON Introduction and Business Overview
7.3.3 MICRO-EPSILON Tyre Recognizing Machines Sales, Revenue and Gross Margin (2019-2024)
7.3.4 MICRO-EPSILON Tyre Recognizing Machines Product Offerings
7.3.5 MICRO-EPSILON Recent Development
7.4 Steinbichler Optotechnik
7.4.1 Steinbichler Optotechnik Company Information
7.4.2 Steinbichler Optotechnik Introduction and Business Overview
7.4.3 Steinbichler Optotechnik Tyre Recognizing Machines Sales, Revenue and Gross Margin (2019-2024)
7.4.4 Steinbichler Optotechnik Tyre Recognizing Machines Product Offerings
7.4.5 Steinbichler Optotechnik Recent Development
7.5 Mitsubishi Heavy Industries (MHI) Group
7.5.1 Mitsubishi Heavy Industries (MHI) Group Company Information
7.5.2 Mitsubishi Heavy Industries (MHI) Group Introduction and Business Overview
7.5.3 Mitsubishi Heavy Industries (MHI) Group Tyre Recognizing Machines Sales, Revenue and Gross Margin (2019-2024)
7.5.4 Mitsubishi Heavy Industries (MHI) Group Tyre Recognizing Machines Product Offerings
7.5.5 Mitsubishi Heavy Industries (MHI) Group Recent Development
7.6 Rizhao Melion Industry
7.6.1 Rizhao Melion Industry Company Information
7.6.2 Rizhao Melion Industry Introduction and Business Overview
7.6.3 Rizhao Melion Industry Tyre Recognizing Machines Sales, Revenue and Gross Margin (2019-2024)
7.6.4 Rizhao Melion Industry Tyre Recognizing Machines Product Offerings
7.6.5 Rizhao Melion Industry Recent Development
7.7 Beijing Xiangyuan Rubber and Tyre Inspection Technology
7.7.1 Beijing Xiangyuan Rubber and Tyre Inspection Technology Company Information
7.7.2 Beijing Xiangyuan Rubber and Tyre Inspection Technology Introduction and Business Overview
7.7.3 Beijing Xiangyuan Rubber and Tyre Inspection Technology Tyre Recognizing Machines Sales, Revenue and Gross Margin (2019-2024)
7.7.4 Beijing Xiangyuan Rubber and Tyre Inspection Technology Tyre Recognizing Machines Product Offerings
7.7.5 Beijing Xiangyuan Rubber and Tyre Inspection Technology Recent Development
8 Industry Chain Analysis
8.1 Tyre Recognizing Machines Industrial Chain
8.2 Tyre Recognizing Machines Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.2.3 Manufacturing Cost Structure
8.3 Midstream Analysis
8.4 Downstream Analysis (Customers Analysis)
8.5 Sales Model and Sales Channels
8.5.1 Tyre Recognizing Machines Sales Model
8.5.2 Sales Channel
8.5.3 Tyre Recognizing Machines Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.2 Data Source
10.2 Author Details
10.3 Disclaimer
CyXplus
LMI Technologies
MICRO-EPSILON
Steinbichler Optotechnik
Mitsubishi Heavy Industries (MHI) Group
Rizhao Melion Industry
Beijing Xiangyuan Rubber and Tyre Inspection Technology
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*If Applicable.
