Global Road Hazard AI Inspection Platform Market Growth (Status and Outlook) 2025-2031

Publication ID:

LPI02260732

Publication Date:

February 21, 2025

Pages:

Publisher:

LPI

Countries:

Global [1]

USD 3,660.00

IT Services [2]

Software [3]

Computing & Electronics [4]

Description:

The global Road Hazard AI Inspection Platform market size is predicted to grow from US$ 731 million in 2025 to US$ 990 million in 2031; it is expected to grow at a CAGR of 5.2% from 2025 to 2031.
The road hazard AI inspection platform is a comprehensive system that integrates cutting-edge technologies such as artificial intelligence, the Internet of Things, and big data analysis. This system uses intelligent means to realize real-time monitoring, automatic inspection, fault warning and maintenance decision support of urban roads, thereby improving road maintenance efficiency and extending road service life.
United States market for Road Hazard AI Inspection Platform is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.
China market for Road Hazard AI Inspection Platform is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.
Europe market for Road Hazard AI Inspection Platform is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.
Global key Road Hazard AI Inspection Platform players cover Baidu, Pacific City Technology Limited, NingBo ShanGong Intelligent, Lingjing Cloud, SenseTime, etc. In terms of revenue, the global two largest companies occupied for a share nearly % in 2024.
The 鈥淩oad Hazard AI Inspection Platform Industry Forecast鈥� looks at past sales and reviews total world Road Hazard AI Inspection Platform sales in 2024, providing a comprehensive analysis by region and market sector of projected Road Hazard AI Inspection Platform sales for 2025 through 2031. With Road Hazard AI Inspection Platform sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world Road Hazard AI Inspection Platform industry.
This Insight Report provides a comprehensive analysis of the global Road Hazard AI Inspection Platform landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyses the strategies of leading global companies with a focus on Road Hazard AI Inspection Platform portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms鈥� unique position in an accelerating global Road Hazard AI Inspection Platform market.
This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for Road Hazard AI Inspection Platform and breaks down the forecast by Type, by Application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global Road Hazard AI Inspection Platform.
This report presents a comprehensive overview, market shares, and growth opportunities of Road Hazard AI Inspection Platform market by product type, application, key players and key regions and countries.
Segmentation by Type:
On-premises
On-cloud
Segmentation by Application:
High Speed Road System
Business District
Residential Neighborhood
This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries
The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
Baidu
Pacific City Technology Limited
NingBo ShanGong Intelligent
Lingjing Cloud
SenseTime
Siemens Mobility
IntelliFusion
Yiwei Ruichuang
Qianxun Spatial Intelligence inc.

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents:

1 Scope of the Report
1.1 Market Introduction
1.2 Years Considered
1.3 Research Objectives
1.4 Market Research Methodology
1.5 Research Process and Data Source
1.6 Economic Indicators
1.7 Currency Considered
1.8 Market Estimation Caveats
2 Executive Summary
2.1 World Market Overview
2.1.1 Global Road Hazard AI Inspection Platform Market Size (2020-2031)
2.1.2 Road Hazard AI Inspection Platform Market Size CAGR by Region (2020 VS 2024 VS 2031)
2.1.3 World Current & Future Analysis for Road Hazard AI Inspection Platform by Country/Region (2020, 2024 & 2031)
2.2 Road Hazard AI Inspection Platform Segment by Type
2.2.1 On-premises
2.2.2 On-cloud
2.3 Road Hazard AI Inspection Platform Market Size by Type
2.3.1 Road Hazard AI Inspection Platform Market Size CAGR by Type (2020 VS 2024 VS 2031)
2.3.2 Global Road Hazard AI Inspection Platform Market Size Market Share by Type (2020-2025)
2.4 Road Hazard AI Inspection Platform Segment by Application
2.4.1 High Speed Road System
2.4.2 Business District
2.4.3 Residential Neighborhood
2.5 Road Hazard AI Inspection Platform Market Size by Application
2.5.1 Road Hazard AI Inspection Platform Market Size CAGR by Application (2020 VS 2024 VS 2031)
2.5.2 Global Road Hazard AI Inspection Platform Market Size Market Share by Application (2020-2025)
3 Road Hazard AI Inspection Platform Market Size by Player
3.1 Road Hazard AI Inspection Platform Market Size Market Share by Player
3.1.1 Global Road Hazard AI Inspection Platform Revenue by Player (2020-2025)
3.1.2 Global Road Hazard AI Inspection Platform Revenue Market Share by Player (2020-2025)
3.2 Global Road Hazard AI Inspection Platform Key Players Head office and Products Offered
3.3 Market Concentration Rate Analysis
3.3.1 Competition Landscape Analysis
3.3.2 Concentration Ratio (CR3, CR5 and CR10) & (2023-2025)
3.4 New Products and Potential Entrants
3.5 Mergers & Acquisitions, Expansion
4 Road Hazard AI Inspection Platform by Region
4.1 Road Hazard AI Inspection Platform Market Size by Region (2020-2025)
4.2 Global Road Hazard AI Inspection Platform Annual Revenue by Country/Region (2020-2025)
4.3 Americas Road Hazard AI Inspection Platform Market Size Growth (2020-2025)
4.4 APAC Road Hazard AI Inspection Platform Market Size Growth (2020-2025)
4.5 Europe Road Hazard AI Inspection Platform Market Size Growth (2020-2025)
4.6 Middle East & Africa Road Hazard AI Inspection Platform Market Size Growth (2020-2025)
5 Americas
5.1 Americas Road Hazard AI Inspection Platform Market Size by Country (2020-2025)
5.2 Americas Road Hazard AI Inspection Platform Market Size by Type (2020-2025)
5.3 Americas Road Hazard AI Inspection Platform Market Size by Application (2020-2025)
5.4 United States
5.5 Canada
5.6 Mexico
5.7 Brazil
6 APAC
6.1 APAC Road Hazard AI Inspection Platform Market Size by Region (2020-2025)
6.2 APAC Road Hazard AI Inspection Platform Market Size by Type (2020-2025)
6.3 APAC Road Hazard AI Inspection Platform Market Size by Application (2020-2025)
6.4 China
6.5 Japan
6.6 South Korea
6.7 Southeast Asia
6.8 India
6.9 Australia
7 Europe
7.1 Europe Road Hazard AI Inspection Platform Market Size by Country (2020-2025)
7.2 Europe Road Hazard AI Inspection Platform Market Size by Type (2020-2025)
7.3 Europe Road Hazard AI Inspection Platform Market Size by Application (2020-2025)
7.4 Germany
7.5 France
7.6 UK
7.7 Italy
7.8 Russia
8 Middle East & Africa
8.1 Middle East & Africa Road Hazard AI Inspection Platform by Region (2020-2025)
8.2 Middle East & Africa Road Hazard AI Inspection Platform Market Size by Type (2020-2025)
8.3 Middle East & Africa Road Hazard AI Inspection Platform Market Size by Application (2020-2025)
8.4 Egypt
8.5 South Africa
8.6 Israel
8.7 Turkey
8.8 GCC Countries
9 Market Drivers, Challenges and Trends
9.1 Market Drivers & Growth Opportunities
9.2 Market Challenges & Risks
9.3 Industry Trends
10 Global Road Hazard AI Inspection Platform Market Forecast
10.1 Global Road Hazard AI Inspection Platform Forecast by Region (2026-2031)
10.1.1 Global Road Hazard AI Inspection Platform Forecast by Region (2026-2031)
10.1.2 Americas Road Hazard AI Inspection Platform Forecast
10.1.3 APAC Road Hazard AI Inspection Platform Forecast
10.1.4 Europe Road Hazard AI Inspection Platform Forecast
10.1.5 Middle East & Africa Road Hazard AI Inspection Platform Forecast
10.2 Americas Road Hazard AI Inspection Platform Forecast by Country (2026-2031)
10.2.1 United States Market Road Hazard AI Inspection Platform Forecast
10.2.2 Canada Market Road Hazard AI Inspection Platform Forecast
10.2.3 Mexico Market Road Hazard AI Inspection Platform Forecast
10.2.4 Brazil Market Road Hazard AI Inspection Platform Forecast
10.3 APAC Road Hazard AI Inspection Platform Forecast by Region (2026-2031)
10.3.1 China Road Hazard AI Inspection Platform Market Forecast
10.3.2 Japan Market Road Hazard AI Inspection Platform Forecast
10.3.3 Korea Market Road Hazard AI Inspection Platform Forecast
10.3.4 Southeast Asia Market Road Hazard AI Inspection Platform Forecast
10.3.5 India Market Road Hazard AI Inspection Platform Forecast
10.3.6 Australia Market Road Hazard AI Inspection Platform Forecast
10.4 Europe Road Hazard AI Inspection Platform Forecast by Country (2026-2031)
10.4.1 Germany Market Road Hazard AI Inspection Platform Forecast
10.4.2 France Market Road Hazard AI Inspection Platform Forecast
10.4.3 UK Market Road Hazard AI Inspection Platform Forecast
10.4.4 Italy Market Road Hazard AI Inspection Platform Forecast
10.4.5 Russia Market Road Hazard AI Inspection Platform Forecast
10.5 Middle East & Africa Road Hazard AI Inspection Platform Forecast by Region (2026-2031)
10.5.1 Egypt Market Road Hazard AI Inspection Platform Forecast
10.5.2 South Africa Market Road Hazard AI Inspection Platform Forecast
10.5.3 Israel Market Road Hazard AI Inspection Platform Forecast
10.5.4 Turkey Market Road Hazard AI Inspection Platform Forecast
10.6 Global Road Hazard AI Inspection Platform Forecast by Type (2026-2031)
10.7 Global Road Hazard AI Inspection Platform Forecast by Application (2026-2031)
10.7.1 GCC Countries Market Road Hazard AI Inspection Platform Forecast
11 Key Players Analysis
11.1 Baidu
11.1.1 Baidu Company Information
11.1.2 Baidu Road Hazard AI Inspection Platform Product Offered
11.1.3 Baidu Road Hazard AI Inspection Platform Revenue, Gross Margin and Market Share (2020-2025)
11.1.4 Baidu Main Business Overview
11.1.5 Baidu Latest Developments
11.2 Pacific City Technology Limited
11.2.1 Pacific City Technology Limited Company Information
11.2.2 Pacific City Technology Limited Road Hazard AI Inspection Platform Product Offered
11.2.3 Pacific City Technology Limited Road Hazard AI Inspection Platform Revenue, Gross Margin and Market Share (2020-2025)
11.2.4 Pacific City Technology Limited Main Business Overview
11.2.5 Pacific City Technology Limited Latest Developments
11.3 NingBo ShanGong Intelligent
11.3.1 NingBo ShanGong Intelligent Company Information
11.3.2 NingBo ShanGong Intelligent Road Hazard AI Inspection Platform Product Offered
11.3.3 NingBo ShanGong Intelligent Road Hazard AI Inspection Platform Revenue, Gross Margin and Market Share (2020-2025)
11.3.4 NingBo ShanGong Intelligent Main Business Overview
11.3.5 NingBo ShanGong Intelligent Latest Developments
11.4 Lingjing Cloud
11.4.1 Lingjing Cloud Company Information
11.4.2 Lingjing Cloud Road Hazard AI Inspection Platform Product Offered
11.4.3 Lingjing Cloud Road Hazard AI Inspection Platform Revenue, Gross Margin and Market Share (2020-2025)
11.4.4 Lingjing Cloud Main Business Overview
11.4.5 Lingjing Cloud Latest Developments
11.5 SenseTime
11.5.1 SenseTime Company Information
11.5.2 SenseTime Road Hazard AI Inspection Platform Product Offered
11.5.3 SenseTime Road Hazard AI Inspection Platform Revenue, Gross Margin and Market Share (2020-2025)
11.5.4 SenseTime Main Business Overview
11.5.5 SenseTime Latest Developments
11.6 Siemens Mobility
11.6.1 Siemens Mobility Company Information
11.6.2 Siemens Mobility Road Hazard AI Inspection Platform Product Offered
11.6.3 Siemens Mobility Road Hazard AI Inspection Platform Revenue, Gross Margin and Market Share (2020-2025)
11.6.4 Siemens Mobility Main Business Overview
11.6.5 Siemens Mobility Latest Developments
11.7 IntelliFusion
11.7.1 IntelliFusion Company Information
11.7.2 IntelliFusion Road Hazard AI Inspection Platform Product Offered
11.7.3 IntelliFusion Road Hazard AI Inspection Platform Revenue, Gross Margin and Market Share (2020-2025)
11.7.4 IntelliFusion Main Business Overview
11.7.5 IntelliFusion Latest Developments
11.8 Yiwei Ruichuang
11.8.1 Yiwei Ruichuang Company Information
11.8.2 Yiwei Ruichuang Road Hazard AI Inspection Platform Product Offered
11.8.3 Yiwei Ruichuang Road Hazard AI Inspection Platform Revenue, Gross Margin and Market Share (2020-2025)
11.8.4 Yiwei Ruichuang Main Business Overview
11.8.5 Yiwei Ruichuang Latest Developments
11.9 Qianxun Spatial Intelligence inc.
11.9.1 Qianxun Spatial Intelligence inc. Company Information
11.9.2 Qianxun Spatial Intelligence inc. Road Hazard AI Inspection Platform Product Offered
11.9.3 Qianxun Spatial Intelligence inc. Road Hazard AI Inspection Platform Revenue, Gross Margin and Market Share (2020-2025)
11.9.4 Qianxun Spatial Intelligence inc. Main Business Overview
11.9.5 Qianxun Spatial Intelligence inc. Latest Developments
12 Research Findings and Conclusion

License Types:

Single User License (PDF)

This license allows for use of a publication by one person.
This person may print out a single copy of the publication.
This person can include information given in the publication in presentations and internal reports by providing full copyright credit to the publisher.
This person cannot share the publication (or any information contained therein) with any other person or persons.
Unless a Enterprise License is purchased, a Single User License must be purchased for every person that wishes to use the publication within the same organization.
Customers who infringe these license terms are liable for a Global license fee.

听

Site License (PDF)*

This license allows for use of a publication by all users within one corporate location, e.g. a regional office.
These users may print out a single copy of the publication.
These users can include information given in the publication in presentations and internal reports by providing full copyright credit to the publisher.
These users cannot share the publication (or any information contained therein) with any other person or persons outside the corporate location for which the publication is purchased.
Unless a Enterprise License is purchased, a Site User License must be purchased for every corporate location by an organization that wishes to use the publication within the same organization.
Customers who infringe these license terms are liable for a Global license fee.

听

Global License (PDF)*

This license allows for use of a publication by unlimited users within the purchasing organization e.g. all employees of a single company.
Each of these people may use the publication on any computer, and may print out the report, but may not share the publication (or any information contained therein) with any other person or persons outside of the organization.
These employees of purchasing organization can include information given in the publication in presentations and internal reports by providing full copyright credit to the publisher.

*If Applicable.

91制片厂