Report overview
The pavement damage detection system uses the vehicle-mounted CCD camera to take photos of the pavement and stores it as digital image data, and then determines the type and quantity of pavement damage through manual interpretation or machine identification, and stores the results in the database, and combines the global satellite positioning system. the exact location of the disease'.
This report aims to provide a comprehensive presentation of the global market for Intelligent Road Detection System, 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 Intelligent Road Detection System. This report contains market size and forecasts of Intelligent Road Detection System in global, including the following market information:
Global Intelligent Road Detection System Market Revenue, 2018-2023, 2024-2032, ($ millions)
Global Intelligent Road Detection System Market Sales, 2018-2023, 2024-2032, (K Units)
Global top five Intelligent Road Detection System companies in 2022 (%)
The global Intelligent Road Detection System market was valued at US$ million in 2022 and is projected to reach US$ million by 2029, at a CAGR of % during the forecast period. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
The U.S. Market is Estimated at $ Million in 2022, While China is Forecast to Reach $ Million.
Multifunction Segment to Reach $ Million by 2029, with a % CAGR in next six years.
The global key manufacturers of Intelligent Road Detection System include Data Collection Limited (DCL) (ROMDAS), KURABO, ARRB Systems, Roadscanners, Geophysical Survey Systems (GSSI), Ricoh, Pavemetrics, ELAG Elektronik AG and Trimble, etc. in 2022, the global top five players have a share approximately % in terms of revenue.
We has surveyed the Intelligent Road Detection System manufacturers, suppliers, distributors and industry experts on this industry, involving the sales, revenue, demand, price change, product type, recent development and plan, industry trends, drivers, challenges, obstacles, and potential risks.
Total Market by Segment:
Global Intelligent Road Detection System Market, by Type, 2018-2023, 2024-2032 ($ Millions) & (K Units)
Global Intelligent Road Detection System Market Segment Percentages, by Type, 2022 (%)
Multifunction
Single Function
Global Intelligent Road Detection System Market, by Application, 2018-2023, 2024-2032 ($ Millions) & (K Units)
Global Intelligent Road Detection System Market Segment Percentages, by Application, 2022 (%)
Highway
Airport Runway
Others
Global Intelligent Road Detection System Market, By Region and Country, 2018-2023, 2024-2032 ($ Millions) & (K Units)
Global Intelligent Road Detection System Market Segment Percentages, By Region and Country, 2022 (%)
North America
US
Canada
Mexico
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Benelux
Rest of Europe
Asia
China
Japan
South Korea
Southeast Asia
India
Rest of Asia
South America
Brazil
Argentina
Rest of South America
Middle East & Africa
Turkey
Israel
Saudi Arabia
UAE
Rest of Middle East & Africa
Competitor Analysis
The report also provides analysis of leading market participants including:
Key companies Intelligent Road Detection System revenues in global market, 2018-2023 (Estimated), ($ millions)
Key companies Intelligent Road Detection System revenues share in global market, 2022 (%)
Key companies Intelligent Road Detection System sales in global market, 2018-2023 (Estimated), (K Units)
Key companies Intelligent Road Detection System sales share in global market, 2022 (%)
Further, the report presents profiles of competitors in the market, key players include:
Data Collection Limited (DCL) (ROMDAS)
KURABO
ARRB Systems
Roadscanners
Geophysical Survey Systems (GSSI)
Ricoh
Pavemetrics
ELAG Elektronik AG
Trimble
International Cybernetics Co (ICC)
Dynatest
Mitsui E&S Machinery Co
WUHAN OPTICS VALLEY
Beijing Zhongtian Hengyu
Outline of Major Chapters:
Chapter 1: Introduces the definition of Intelligent Road Detection System, market overview.
Chapter 2: Global Intelligent Road Detection System market size in revenue and volume.
Chapter 3: Detailed analysis of Intelligent Road Detection System manufacturers competitive landscape, price, sales and revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: 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 5: 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 6: Sales of Intelligent Road Detection System in regional level and country level. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space of each country in the world.
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: Global Intelligent Road Detection System capacity by region & country.
Chapter 9: Introduces 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 10: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 11: The main points and conclusions of the report.
