Press release
Future Perspective: Key Factors Influencing the Intelligent Road System Market Until 2029
Intelligent Road System
Strong Growth Outlook for the Intelligent Road System Market Size Through 2029
The intelligent road system market is projected to grow substantially, reaching a value of $99.9 billion by 2029. This expansion corresponds to a compound annual growth rate (CAGR) of 12.2%. Several factors are driving this surge, including the increasing deployment of autonomous vehicles, heightened investments in smart city infrastructure, wider adoption of artificial intelligence for traffic management, growing demand for real-time traffic monitoring, and the rollout of 5G connectivity for integrated road systems. Key trends expected to influence the market during this period consist of AI-driven traffic control systems, predictive analytics aimed at improving road safety, cloud-based intelligent transportation solutions, the growth of smart toll collection, and the incorporation of IoT technologies to monitor road conditions in real time.
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Prominent Companies Leading the Intelligent Road System Sector
The intelligent road system market is dominated by a number of influential companies, including Siemens AG, Intel Corporation, WSP Global Inc., HARMAN International Industries Inc., Dahua Technology Co. Ltd., Cubic Transportation Systems Inc., SWARCO AG, Intellias Ltd., Kapsch TrafficCom AG, TomTom International BV, Antea Group N.V., Digi International Inc., Lanner Electronics Inc., Iteris Inc., Q-Free ASA, EFKON GmbH, Robustel Technologies Co. Ltd., Faststream Technologies LLC, Loadlink Technologies, and Yunex Traffic GmbH.
A notable collaboration occurred in October 2023 when Japan-based automotive lighting manufacturer Koito Manufacturing Co., Ltd. partnered with DENSO Corporation. Their joint effort aims to enhance road safety by combining Koito's expertise in advanced lighting technologies with DENSO's sensor and AI systems. This alliance focuses on developing smart lighting solutions that integrate with intelligent road systems to improve visibility and reduce accidents at night. Both companies bring extensive experience in automotive innovation, positioning them well to lead advancements in this area.
View the full intelligent road system market report:
https://www.thebusinessresearchcompany.com/report/intelligent-road-system-global-market-report
How Cutting-Edge Trends are Shaping the Intelligent Road System Industry
Leading market players are emphasizing innovative technologies such as AI-powered cameras that enhance traffic oversight, accident detection, and the management of road networks through real-time data processing and automated responses. AI-enabled cameras utilize machine learning to analyze video footage instantly, enabling functions like object detection, facial recognition, and automatic alerts for incidents.
For example, in September 2024, US-based thermography firm Teledyne FLIR LLC introduced the TrafiBot Dual AI, a sophisticated multispectral traffic camera designed to boost safety on bridges and in tunnels. Equipped with an advanced thermal core and proprietary AI models, the camera supports early fire detection, detailed object classification, and precise real-time traffic data collection. Its AI-driven 3D tracking capabilities predict vehicle speed and paths, identify fallen objects, unusual vehicles, vulnerable road users, sudden lane changes, and wrong-way drivers. This technology reduces false alarms and provides traffic managers with reliable incident detection, contributing significantly to safer interurban roads.
Intelligent Road System Market Segmentation Explained
The report categorizes the intelligent road system market into several segments to capture its diversity and complexity:
1) By Type:
- Wireless Communication
- Computational Technologies
- Floating Car Data (FCD) or Floating Cellular Data
2) By Component:
- Hardware
- Software
- Services
3) By Technology Type:
- Advanced Traffic Management Systems (ATMS)
- Automatic Number Plate Recognition (ANPR)
- Traffic Signal Control Systems
- Incident Detection and Management Systems
4) By Application:
- Traffic Management
- Road Safety and Security
- Freight Management
- Public Transport
- Environment Protection
- Other Applications
5) By End-User:
- Government and Municipalities
- Transportation Authorities
- Commercial Fleet Operators
- Smart City Developers
Further sub-segmentation includes:
By Wireless Communication:
- Vehicle-to-Vehicle (V2V) Communication
- Vehicle-to-Infrastructure (V2I) Communication
- Vehicle-to-Pedestrian (V2P) Communication
- Dedicated Short-Range Communication (DSRC)
- Cellular Vehicle-to-Everything (C-V2X)
By Computational Technologies:
- Artificial Intelligence (AI)
- Machine Learning (ML)
- Edge Computing
- Cloud Computing
- Big Data Analytics
By Floating Car Data or Floating Cellular Data:
- GPS-Based Data Collection
- Mobile Network-Based Data Collection
- Probe Vehicle Data
- Sensor-Based Data Collection
- Crowdsourced Traffic Data
This thorough segmentation highlights the various technology types, applications, and end users that define the intelligent road system market, providing insight into the diverse opportunities within this expanding field.
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