The global AI-powered Traffic Management System market size is predicted to grow from US$ 107 million in 2025 to US$ 187 million in 2031; it is expected to grow at a CAGR of 9.8% from 2025 to 2031.
An AI-Powered Traffic Management System (AI-TMS) is a smart, data-driven solution that monitors, analyzes, and optimizes urban traffic flow using artificial intelligence (AI), machine learning (ML), computer vision, and IoT (Internet of Things) sensors. It helps cities and transportation authorities reduce congestion, improve road safety, and enhance public transport efficiency.
United States market for AI-powered Traffic Management System 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 AI-powered Traffic Management System 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 AI-powered Traffic Management System is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.
Global key AI-powered Traffic Management System players cover PTV Planung Transport Verkehr GmbH, Videonetics, NoTraffic, SmartCow, Talentelgia Technologies, etc. In terms of revenue, the global two largest companies occupied for a share nearly % in 2024.
LPI (LP Information)' newest research report, the “AI-powered Traffic Management System Industry Forecast” looks at past sales and reviews total world AI-powered Traffic Management System sales in 2024, providing a comprehensive analysis by region and market sector of projected AI-powered Traffic Management System sales for 2025 through 2031. With AI-powered Traffic Management System sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world AI-powered Traffic Management System industry.
This Insight Report provides a comprehensive analysis of the global AI-powered Traffic Management System 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 AI-powered Traffic Management System portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global AI-powered Traffic Management System market.
This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for AI-powered Traffic Management System 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 AI-powered Traffic Management System.
This report presents a comprehensive overview, market shares, and growth opportunities of AI-powered Traffic Management System market by product type, application, key players and key regions and countries.
Segmentation by Type:
Cloud-based
On-premises
Segmentation by Application:
Urban Road Management
Intercity Road Management
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.
PTV Planung Transport Verkehr GmbH
Videonetics
NoTraffic
SmartCow
Talentelgia Technologies
Vivacity Labs Ltd
Digitale Schiene Deutschland
Sighthound, Inc.
Onnyx Electronisys Pvt. Ltd
WISP Solutions
Hayden AI Technologies
Yunex Traffic
Please note: The report will take approximately 2 business days to prepare and deliver.
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