세계의 AI 기반 트래픽 관리 시장 규모, 점유율 및 동향 분석 : 배포 모드별, 기술별, 구성요소별, 용도별, 최종사용자별, 지역별, 전망 및 예측(2024-2031년)

The Global AI-Driven Traffic Management Market size is expected to reach $144.1 billion by 2031, rising at a market growth of 29.7% CAGR during the forecast period.

The North America region witnessed 37% revenue share in the AI-driven traffic management market in 2023. This can be attributed to several factors, including the early adoption of advanced technologies, significant investments in smart city initiatives, and robust infrastructure development. The presence of key market players and extensive research and development activities in the United States and Canada also contribute to the region's dominance in this market.

The major strategies followed by the market participants are Partnerships as the key developmental strategy to keep pace with the changing demands of end users. For instance, In February 2024, Iteris, Inc. has partnered with Arity to integrate enhanced traffic data solutions into its ClearMobility(R) Platform. This collaboration aims to improve transportation efficiency and safety by utilizing Arity's near real-time traffic insights, enriching Iteris' ClearGuide(R) and ClearData(R) applications. Moreover, In August, 2024, Econolite Group, Inc. and Derq are partnering with Caltrans to deploy an advanced intersection safety system in Orange County, utilizing AI-driven insights and video detection. This initiative aims to enhance road safety and support Caltrans' Vision Zero goal to eliminate road fatalities by 2050.

KBV Cardinal Matrix - AI-Driven Traffic Management Market Competition Analysis

Based on the Analysis presented in the KBV Cardinal matrix; Huawei Technologies Co., Ltd., Siemens AG and IBM Corporation are the forerunners in the AI-Driven Traffic Management Market. In April, 2024, Huawei Technologies Co., Ltd. and HKT came into partnership to leverage AI for enhancing network security, improving user experience, and promoting sustainability. The integration of AI technologies will automate operations, optimize services, and support intelligent network transformation, leading to significant advancements in the telecom sector. Companies such as Iteris, Inc. and Ericsson AB are some of the key innovators in AI-Driven Traffic Management Market.

Market Growth Factors

As urban areas become more populated, the density of vehicles and pedestrians increases. This congestion leads to longer travel times, higher rates of accidents, and elevated levels of air pollution. Advanced AI-powered traffic solutions can analyze real-time traffic patterns, optimize signal timings, reroute traffic, and reduce congestion. With urban growth, cities face pressure on infrastructure and resources. In conclusion, accelerating urbanization, leading to demand for advanced traffic solutions, drives the market's growth.

Additionally, With the rise in urban populations and vehicle ownership, road traffic accidents have become a pressing concern worldwide. According to the World Health Organization (WHO), road traffic injuries are a leading cause of death globally, with approximately 1.35 million fatalities each year. This alarming statistic has prompted governments and transportation authorities to prioritize safety measures and implement advanced technologies to mitigate risks. Thus, emphasis on safety and incident management drives the market's growth.

Market Restraining Factors

Implementing these systems often requires substantial infrastructure investments. This includes upgrading existing traffic signals, installing sensors and cameras, and establishing a robust communication network to support data exchange. The high upfront costs can deter municipalities, particularly those with limited budgets. Integrating advanced AI solutions with existing traffic management systems can be complex and costly. In conclusion, the high implementation costs of advanced traffic solutions are hampering the market's growth.

The leading players in the market are competing with diverse innovative offerings to remain competitive in the market. The above illustration shows the percentage of revenue shared by some of the leading companies in the market. The leading players of the market are adopting various strategies in order to cater demand coming from the different industries. The key developmental strategies in the market are Partnerships & Collaborations.

Deployment Mode Outlook

By deployment mode, this market is divided into cloud and on-premises. In 2023, the on-premises segment registered 44% revenue share in this market. Concerns over data security, control, and compliance with local regulations often drive this preference for on-premises deployment. On-premises solutions allow organizations direct control over their data and systems, ensuring that sensitive traffic data remains within their infrastructure. This deployment mode is particularly favored by governmental agencies and large-scale traffic management centers that require high levels of customization and integration with existing infrastructure.

Technology Outlook

Based on technology, this market is categorized into machine learning (ML), computer vision, natural language processing (NLP), internet of things (IoT), and others. The computer vision segment witnessed 27% revenue share in this market in 2023. Computer vision technology enables the automatic extraction, analysis, and understanding of useful information from a single image or a sequence of images. In traffic management, computer vision is used for vehicle detection, license plate recognition, and monitoring traffic conditions through video surveillance.

Component Outlook

Based on component, this market is divided into software, hardware, and services. In 2023, the hardware segment garnered 35% revenue share in this market. This segment includes physical components such as sensors, cameras, and other devices essential for functioning traffic management systems. The high revenue share of the hardware segment indicates substantial investment in the physical infrastructure required to implement these solutions.

Application Outlook

On the basis of application, this market is segmented into traffic signal control systems, route optimization, incident detection & management, public transport management, and others. In 2023, the incident detection & management segment attained 24% revenue share in this market. This segment encompasses technologies and systems that detect real-time traffic incidents, such as accidents or breakdowns, and manage the response to these incidents. The significant share of this segment underscores the importance of rapid incident detection and effective management in minimizing traffic disruptions, enhancing road safety, and ensuring the smooth flow of traffic.

End User Outlook

Based on end user, this market is divided into government authorities, highway operators, and others. In 2023, the highway operators segment procured 32% revenue share in this market. Highway operators, which include organizations responsible for maintaining and operating highways and expressways, increasingly adopt AI-driven solutions to enhance traffic flow, reduce travel time, and improve safety on high-speed roadways. These solutions involve AI for predictive maintenance, real-time traffic monitoring, and incident management.

Regional Outlook

Region-wise, this market is analyzed across North America, Europe, Asia Pacific, and LAMEA. In 2023, the Asia Pacific region generated 25% revenue share in this market. Governments in the region are increasingly focusing on adopting advanced traffic management technologies to address the challenges of traffic congestion, pollution, and road safety. The region's substantial revenue share also reflects the growing technological advancements and the rising implementation of AI-driven solutions in traffic management.

Market Competition and Attributes

The AI-driven traffic management market is characterized by diverse competition among various emerging companies and startups. These players leverage innovative technologies to enhance traffic flow, reduce congestion, and improve safety. Although they face challenges from established firms, the market's growth potential encourages continuous advancements, fostering a dynamic and competitive landscape.

Recent Strategies Deployed in the Market

• Sep-2024: Ericsson has unveiled its Transport Automation Controller, a cutting-edge solution designed to enhance 5G network performance using artificial intelligence and machine learning. This innovative controller simplifies network management, optimizes capacity, and reduces operational costs. With advanced analytics and real-time insights, communications service providers can proactively tackle performance and utilization challenges, ensuring a more efficient and reliable network infrastructure.
• Aug-2024: SWARCO AG is partnering with NoTraffic to transform urban mobility through the integration of AI-driven traffic management solutions. This collaboration focuses on improving real-time traffic flow, minimizing congestion, and reducing emissions, establishing a new benchmark for intelligent transportation systems in cities.
• May-2024: SWARCO is enhancing traffic management systems with its Traff-lAIts project, which incorporates Smart AI and Cooperative Awareness Messages (CAM) in cities across Norway. This innovative initiative focuses on optimizing traffic flow, minimizing delays, and decreasing emissions, all while improving safety and efficiency at intersections.
• May-2024: Indra has unveiled a next-generation 360 vision system utilizing AI to enhance situational awareness for armored vehicles. Designed for complex operations, it analyzes real-time imagery from multiple cameras to identify threats and suggest protective measures, increasing mission effectiveness and crew safety.
• Apr-2024: Econolite Group, Inc. and PTV came into partnership to Group launched the Centracs-Flows integration, a cloud-based ATMS solution combining predictive AI traffic monitoring with proactive signal optimization. This innovative system forecasts traffic conditions up to an hour ahead, enhancing efficiency and safety.

List of Key Companies Profiled

• Siemens AG (Siemens Mobility)
• Iteris, Inc.
• Econolite Group, Inc.
• Thales Group S.A.
• Huawei Technologies Co., Ltd. (Huawei Investment & Holding Co., Ltd.)
• Ericsson AB
• SWARCO AG
• IBM Corporation
• Indra Sistemas, S.A.
• ST Engineering Limited (Temasek Holdings Limited )

Global AI-Driven Traffic Management Market Report Segmentation

By Deployment Mode

• Cloud
• On-Premises

By Technology

• Machine Learning (ML)
• Computer Vision
• Internet of Things (IoT)
• Natural Language Processing (NLP)
• Other Technology

By Component

• Software
• Hardware
• Services

By Application

• Traffic Signal Control Systems
• Incident Detection & Management
• Route Optimization
• Public Transport Management
• Predictive Analytics

By End User

• Government Authorities
• Highway Operators
• Logistics & Transportation Providers

By Geography

• North America
  • US
  • Canada
  • Mexico
  • Rest of North America
• Europe
  • Germany
  • UK
  • France
  • Russia
  • Spain
  • Italy
  • Rest of Europe
• Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Australia
  • Malaysia
  • Rest of Asia Pacific
• LAMEA
  • Brazil
  • Argentina
  • UAE
  • Saudi Arabia
  • South Africa
  • Nigeria
• Rest of LAMEA

Table of Contents

Chapter 1. Market Scope & Methodology

• 1.1 Market Definition
• 1.2 Objectives
• 1.3 Market Scope
• 1.4 Segmentation
  • 1.4.1 Global AI-Driven Traffic Management Market, by Deployment Mode
  • 1.4.2 Global AI-Driven Traffic Management Market, by Technology
  • 1.4.3 Global AI-Driven Traffic Management Market, by Component
  • 1.4.4 Global AI-Driven Traffic Management Market, by Application
  • 1.4.5 Global AI-Driven Traffic Management Market, by End User
  • 1.4.6 Global AI-Driven Traffic Management Market, by Geography
• 1.5 Methodology for the research

Chapter 2. Market at a Glance

• 2.1 Key Highlights

Chapter 3. Market Overview

• 3.1 Introduction
  • 3.1.1 Overview
    • 3.1.1.1 Market Composition and Scenario
• 3.2 Key Factors Impacting the Market
  • 3.2.1 Market Drivers
  • 3.2.2 Market Restraints
  • 3.2.3 Market Opportunities
  • 3.2.4 Market Challenges

Chapter 4. Competition Analysis - Global

• 4.1 KBV Cardinal Matrix
• 4.2 Recent Industry Wide Strategic Developments
  • 4.2.1 Partnerships, Collaborations and Agreements
  • 4.2.2 Product Launches and Product Expansions
  • 4.2.3 Acquisition and Mergers
• 4.3 Market Share Analysis, 2023
• 4.4 Top Winning Strategies
  • 4.4.1 Key Leading Strategies: Percentage Distribution (2020-2024)
  • 4.4.2 Key Strategic Move: (Partnerships, Collaborations & Agreements: 2021, Dec - 2024, Aug) Leading Players
• 4.5 Porter Five Forces Analysis

Chapter 5. Global AI-Driven Traffic Management Market by Deployment Mode

• 5.1 Global Cloud Market by Region
• 5.2 Global On-Premises Market by Region

Chapter 6. Global AI-Driven Traffic Management Market by Technology

• 6.1 Global Machine Learning (ML) Market by Region
• 6.2 Global Computer Vision Market by Region
• 6.3 Global Internet of Things (IoT) Market by Region
• 6.4 Global Natural Language Processing (NLP) Market by Region
• 6.5 Global Other Technology Market by Region

Chapter 7. Global AI-Driven Traffic Management Market by Component

• 7.1 Global Software Market by Region
• 7.2 Global Hardware Market by Region
• 7.3 Global Services Market by Region

Chapter 8. Global AI-Driven Traffic Management Market by Application

• 8.1 Global Traffic Signal Control Systems Market by Region
• 8.2 Global Incident Detection & Management Market by Region
• 8.3 Global Route Optimization Market by Region
• 8.4 Global Public Transport Management Market by Region
• 8.5 Global Predictive Analytics Market by Region

Chapter 9. Global AI-Driven Traffic Management Market by End User

• 9.1 Global Government Authorities Market by Region
• 9.2 Global Highway Operators Market by Region
• 9.3 Global Logistics & Transportation Providers Market by Region

Chapter 10. Global AI-Driven Traffic Management Market by Region

• 10.1 North America AI-Driven Traffic Management Market
  • 10.1.1 North America AI-Driven Traffic Management Market by Deployment Mode
    • 10.1.1.1 North America Cloud Market by Region
    • 10.1.1.2 North America On-Premises Market by Region
  • 10.1.2 North America AI-Driven Traffic Management Market by Technology
    • 10.1.2.1 North America Machine Learning (ML) Market by Country
    • 10.1.2.2 North America Computer Vision Market by Country
    • 10.1.2.3 North America Internet of Things (IoT) Market by Country
    • 10.1.2.4 North America Natural Language Processing (NLP) Market by Country
    • 10.1.2.5 North America Other Technology Market by Country
  • 10.1.3 North America AI-Driven Traffic Management Market by Component
    • 10.1.3.1 North America Software Market by Country
    • 10.1.3.2 North America Hardware Market by Country
    • 10.1.3.3 North America Services Market by Country
  • 10.1.4 North America AI-Driven Traffic Management Market by Application
    • 10.1.4.1 North America Traffic Signal Control Systems Market by Country
    • 10.1.4.2 North America Incident Detection & Management Market by Country
    • 10.1.4.3 North America Route Optimization Market by Country
    • 10.1.4.4 North America Public Transport Management Market by Country
    • 10.1.4.5 North America Predictive Analytics Market by Country
  • 10.1.5 North America AI-Driven Traffic Management Market by End User
    • 10.1.5.1 North America Government Authorities Market by Country
    • 10.1.5.2 North America Highway Operators Market by Country
    • 10.1.5.3 North America Logistics & Transportation Providers Market by Country
  • 10.1.6 North America AI-Driven Traffic Management Market by Country
    • 10.1.6.1 US AI-Driven Traffic Management Market
      • 10.1.6.1.1 US AI-Driven Traffic Management Market by Deployment Mode
      • 10.1.6.1.2 US AI-Driven Traffic Management Market by Technology
      • 10.1.6.1.3 US AI-Driven Traffic Management Market by Component
      • 10.1.6.1.4 US AI-Driven Traffic Management Market by Application
      • 10.1.6.1.5 US AI-Driven Traffic Management Market by End User
    • 10.1.6.2 Canada AI-Driven Traffic Management Market
      • 10.1.6.2.1 Canada AI-Driven Traffic Management Market by Deployment Mode
      • 10.1.6.2.2 Canada AI-Driven Traffic Management Market by Technology
      • 10.1.6.2.3 Canada AI-Driven Traffic Management Market by Component
      • 10.1.6.2.4 Canada AI-Driven Traffic Management Market by Application
      • 10.1.6.2.5 Canada AI-Driven Traffic Management Market by End User
    • 10.1.6.3 Mexico AI-Driven Traffic Management Market
      • 10.1.6.3.1 Mexico AI-Driven Traffic Management Market by Deployment Mode
      • 10.1.6.3.2 Mexico AI-Driven Traffic Management Market by Technology
      • 10.1.6.3.3 Mexico AI-Driven Traffic Management Market by Component
      • 10.1.6.3.4 Mexico AI-Driven Traffic Management Market by Application
      • 10.1.6.3.5 Mexico AI-Driven Traffic Management Market by End User
    • 10.1.6.4 Rest of North America AI-Driven Traffic Management Market
      • 10.1.6.4.1 Rest of North America AI-Driven Traffic Management Market by Deployment Mode
      • 10.1.6.4.2 Rest of North America AI-Driven Traffic Management Market by Technology
      • 10.1.6.4.3 Rest of North America AI-Driven Traffic Management Market by Component
      • 10.1.6.4.4 Rest of North America AI-Driven Traffic Management Market by Application
      • 10.1.6.4.5 Rest of North America AI-Driven Traffic Management Market by End User
• 10.2 Europe AI-Driven Traffic Management Market
  • 10.2.1 Europe AI-Driven Traffic Management Market by Deployment Mode
    • 10.2.1.1 Europe Cloud Market by Country
    • 10.2.1.2 Europe On-Premises Market by Country
  • 10.2.2 Europe AI-Driven Traffic Management Market by Technology
    • 10.2.2.1 Europe Machine Learning (ML) Market by Country
    • 10.2.2.2 Europe Computer Vision Market by Country
    • 10.2.2.3 Europe Internet of Things (IoT) Market by Country
    • 10.2.2.4 Europe Natural Language Processing (NLP) Market by Country
    • 10.2.2.5 Europe Other Technology Market by Country
  • 10.2.3 Europe AI-Driven Traffic Management Market by Component
    • 10.2.3.1 Europe Software Market by Country
    • 10.2.3.2 Europe Hardware Market by Country
    • 10.2.3.3 Europe Services Market by Country
  • 10.2.4 Europe AI-Driven Traffic Management Market by Application
    • 10.2.4.1 Europe Traffic Signal Control Systems Market by Country
    • 10.2.4.2 Europe Incident Detection & Management Market by Country
    • 10.2.4.3 Europe Route Optimization Market by Country
    • 10.2.4.4 Europe Public Transport Management Market by Country
    • 10.2.4.5 Europe Predictive Analytics Market by Country
  • 10.2.5 Europe AI-Driven Traffic Management Market by End User
    • 10.2.5.1 Europe Government Authorities Market by Country
    • 10.2.5.2 Europe Highway Operators Market by Country
    • 10.2.5.3 Europe Logistics & Transportation Providers Market by Country
  • 10.2.6 Europe AI-Driven Traffic Management Market by Country
    • 10.2.6.1 Germany AI-Driven Traffic Management Market
      • 10.2.6.1.1 Germany AI-Driven Traffic Management Market by Deployment Mode
      • 10.2.6.1.2 Germany AI-Driven Traffic Management Market by Technology
      • 10.2.6.1.3 Germany AI-Driven Traffic Management Market by Component
      • 10.2.6.1.4 Germany AI-Driven Traffic Management Market by Application
      • 10.2.6.1.5 Germany AI-Driven Traffic Management Market by End User
    • 10.2.6.2 UK AI-Driven Traffic Management Market
      • 10.2.6.2.1 UK AI-Driven Traffic Management Market by Deployment Mode
      • 10.2.6.2.2 UK AI-Driven Traffic Management Market by Technology
      • 10.2.6.2.3 UK AI-Driven Traffic Management Market by Component
      • 10.2.6.2.4 UK AI-Driven Traffic Management Market by Application
      • 10.2.6.2.5 UK AI-Driven Traffic Management Market by End User
    • 10.2.6.3 France AI-Driven Traffic Management Market
      • 10.2.6.3.1 France AI-Driven Traffic Management Market by Deployment Mode
      • 10.2.6.3.2 France AI-Driven Traffic Management Market by Technology
      • 10.2.6.3.3 France AI-Driven Traffic Management Market by Component
      • 10.2.6.3.4 France AI-Driven Traffic Management Market by Application
      • 10.2.6.3.5 France AI-Driven Traffic Management Market by End User
    • 10.2.6.4 Russia AI-Driven Traffic Management Market
      • 10.2.6.4.1 Russia AI-Driven Traffic Management Market by Deployment Mode
      • 10.2.6.4.2 Russia AI-Driven Traffic Management Market by Technology
      • 10.2.6.4.3 Russia AI-Driven Traffic Management Market by Component
      • 10.2.6.4.4 Russia AI-Driven Traffic Management Market by Application
      • 10.2.6.4.5 Russia AI-Driven Traffic Management Market by End User
    • 10.2.6.5 Spain AI-Driven Traffic Management Market
      • 10.2.6.5.1 Spain AI-Driven Traffic Management Market by Deployment Mode
      • 10.2.6.5.2 Spain AI-Driven Traffic Management Market by Technology
      • 10.2.6.5.3 Spain AI-Driven Traffic Management Market by Component
      • 10.2.6.5.4 Spain AI-Driven Traffic Management Market by Application
      • 10.2.6.5.5 Spain AI-Driven Traffic Management Market by End User
    • 10.2.6.6 Italy AI-Driven Traffic Management Market
      • 10.2.6.6.1 Italy AI-Driven Traffic Management Market by Deployment Mode
      • 10.2.6.6.2 Italy AI-Driven Traffic Management Market by Technology
      • 10.2.6.6.3 Italy AI-Driven Traffic Management Market by Component
      • 10.2.6.6.4 Italy AI-Driven Traffic Management Market by Application
      • 10.2.6.6.5 Italy AI-Driven Traffic Management Market by End User
    • 10.2.6.7 Rest of Europe AI-Driven Traffic Management Market
      • 10.2.6.7.1 Rest of Europe AI-Driven Traffic Management Market by Deployment Mode
      • 10.2.6.7.2 Rest of Europe AI-Driven Traffic Management Market by Technology
      • 10.2.6.7.3 Rest of Europe AI-Driven Traffic Management Market by Component
      • 10.2.6.7.4 Rest of Europe AI-Driven Traffic Management Market by Application
      • 10.2.6.7.5 Rest of Europe AI-Driven Traffic Management Market by End User
• 10.3 Asia Pacific AI-Driven Traffic Management Market
  • 10.3.1 Asia Pacific AI-Driven Traffic Management Market by Deployment Mode
    • 10.3.1.1 Asia Pacific Cloud Market by Country
    • 10.3.1.2 Asia Pacific On-Premises Market by Country
  • 10.3.2 Asia Pacific AI-Driven Traffic Management Market by Technology
    • 10.3.2.1 Asia Pacific Machine Learning (ML) Market by Country
    • 10.3.2.2 Asia Pacific Computer Vision Market by Country
    • 10.3.2.3 Asia Pacific Internet of Things (IoT) Market by Country
    • 10.3.2.4 Asia Pacific Natural Language Processing (NLP) Market by Country
    • 10.3.2.5 Asia Pacific Other Technology Market by Country
  • 10.3.3 Asia Pacific AI-Driven Traffic Management Market by Component
    • 10.3.3.1 Asia Pacific Software Market by Country
    • 10.3.3.2 Asia Pacific Hardware Market by Country
    • 10.3.3.3 Asia Pacific Services Market by Country
  • 10.3.4 Asia Pacific AI-Driven Traffic Management Market by Application
    • 10.3.4.1 Asia Pacific Traffic Signal Control Systems Market by Country
    • 10.3.4.2 Asia Pacific Incident Detection & Management Market by Country
    • 10.3.4.3 Asia Pacific Route Optimization Market by Country
    • 10.3.4.4 Asia Pacific Public Transport Management Market by Country
    • 10.3.4.5 Asia Pacific Predictive Analytics Market by Country
  • 10.3.5 Asia Pacific AI-Driven Traffic Management Market by End User
    • 10.3.5.1 Asia Pacific Government Authorities Market by Country
    • 10.3.5.2 Asia Pacific Highway Operators Market by Country
    • 10.3.5.3 Asia Pacific Logistics & Transportation Providers Market by Country
  • 10.3.6 Asia Pacific AI-Driven Traffic Management Market by Country
    • 10.3.6.1 China AI-Driven Traffic Management Market
      • 10.3.6.1.1 China AI-Driven Traffic Management Market by Deployment Mode
      • 10.3.6.1.2 China AI-Driven Traffic Management Market by Technology
      • 10.3.6.1.3 China AI-Driven Traffic Management Market by Component
      • 10.3.6.1.4 China AI-Driven Traffic Management Market by Application
      • 10.3.6.1.5 China AI-Driven Traffic Management Market by End User
    • 10.3.6.2 Japan AI-Driven Traffic Management Market
      • 10.3.6.2.1 Japan AI-Driven Traffic Management Market by Deployment Mode
      • 10.3.6.2.2 Japan AI-Driven Traffic Management Market by Technology
      • 10.3.6.2.3 Japan AI-Driven Traffic Management Market by Component
      • 10.3.6.2.4 Japan AI-Driven Traffic Management Market by Application
      • 10.3.6.2.5 Japan AI-Driven Traffic Management Market by End User
    • 10.3.6.3 India AI-Driven Traffic Management Market
      • 10.3.6.3.1 India AI-Driven Traffic Management Market by Deployment Mode
      • 10.3.6.3.2 India AI-Driven Traffic Management Market by Technology
      • 10.3.6.3.3 India AI-Driven Traffic Management Market by Component
      • 10.3.6.3.4 India AI-Driven Traffic Management Market by Application
      • 10.3.6.3.5 India AI-Driven Traffic Management Market by End User
    • 10.3.6.4 South Korea AI-Driven Traffic Management Market
      • 10.3.6.4.1 South Korea AI-Driven Traffic Management Market by Deployment Mode
      • 10.3.6.4.2 South Korea AI-Driven Traffic Management Market by Technology
      • 10.3.6.4.3 South Korea AI-Driven Traffic Management Market by Component
      • 10.3.6.4.4 South Korea AI-Driven Traffic Management Market by Application
      • 10.3.6.4.5 South Korea AI-Driven Traffic Management Market by End User
    • 10.3.6.5 Australia AI-Driven Traffic Management Market
      • 10.3.6.5.1 Australia AI-Driven Traffic Management Market by Deployment Mode
      • 10.3.6.5.2 Australia AI-Driven Traffic Management Market by Technology
      • 10.3.6.5.3 Australia AI-Driven Traffic Management Market by Component
      • 10.3.6.5.4 Australia AI-Driven Traffic Management Market by Application
      • 10.3.6.5.5 Australia AI-Driven Traffic Management Market by End User
    • 10.3.6.6 Malaysia AI-Driven Traffic Management Market
      • 10.3.6.6.1 Malaysia AI-Driven Traffic Management Market by Deployment Mode
      • 10.3.6.6.2 Malaysia AI-Driven Traffic Management Market by Technology
      • 10.3.6.6.3 Malaysia AI-Driven Traffic Management Market by Component
      • 10.3.6.6.4 Malaysia AI-Driven Traffic Management Market by Application
      • 10.3.6.6.5 Malaysia AI-Driven Traffic Management Market by End User
    • 10.3.6.7 Rest of Asia Pacific AI-Driven Traffic Management Market
      • 10.3.6.7.1 Rest of Asia Pacific AI-Driven Traffic Management Market by Deployment Mode
      • 10.3.6.7.2 Rest of Asia Pacific AI-Driven Traffic Management Market by Technology
      • 10.3.6.7.3 Rest of Asia Pacific AI-Driven Traffic Management Market by Component
      • 10.3.6.7.4 Rest of Asia Pacific AI-Driven Traffic Management Market by Application
      • 10.3.6.7.5 Rest of Asia Pacific AI-Driven Traffic Management Market by End User
• 10.4 LAMEA AI-Driven Traffic Management Market
  • 10.4.1 LAMEA AI-Driven Traffic Management Market by Deployment Mode
    • 10.4.1.1 LAMEA Cloud Market by Country
    • 10.4.1.2 LAMEA On-Premises Market by Country
  • 10.4.2 LAMEA AI-Driven Traffic Management Market by Technology
    • 10.4.2.1 LAMEA Machine Learning (ML) Market by Country
    • 10.4.2.2 LAMEA Computer Vision Market by Country
    • 10.4.2.3 LAMEA Internet of Things (IoT) Market by Country
    • 10.4.2.4 LAMEA Natural Language Processing (NLP) Market by Country
    • 10.4.2.5 LAMEA Other Technology Market by Country
  • 10.4.3 LAMEA AI-Driven Traffic Management Market by Component
    • 10.4.3.1 LAMEA Software Market by Country
    • 10.4.3.2 LAMEA Hardware Market by Country
    • 10.4.3.3 LAMEA Services Market by Country
  • 10.4.4 LAMEA AI-Driven Traffic Management Market by Application
    • 10.4.4.1 LAMEA Traffic Signal Control Systems Market by Country
    • 10.4.4.2 LAMEA Incident Detection & Management Market by Country
    • 10.4.4.3 LAMEA Route Optimization Market by Country
    • 10.4.4.4 LAMEA Public Transport Management Market by Country
    • 10.4.4.5 LAMEA Predictive Analytics Market by Country
  • 10.4.5 LAMEA AI-Driven Traffic Management Market by End User
    • 10.4.5.1 LAMEA Government Authorities Market by Country
    • 10.4.5.2 LAMEA Highway Operators Market by Country
    • 10.4.5.3 LAMEA Logistics & Transportation Providers Market by Country
  • 10.4.6 LAMEA AI-Driven Traffic Management Market by Country
    • 10.4.6.1 Brazil AI-Driven Traffic Management Market
      • 10.4.6.1.1 Brazil AI-Driven Traffic Management Market by Deployment Mode
      • 10.4.6.1.2 Brazil AI-Driven Traffic Management Market by Technology
      • 10.4.6.1.3 Brazil AI-Driven Traffic Management Market by Component
      • 10.4.6.1.4 Brazil AI-Driven Traffic Management Market by Application
      • 10.4.6.1.5 Brazil AI-Driven Traffic Management Market by End User
    • 10.4.6.2 Argentina AI-Driven Traffic Management Market
      • 10.4.6.2.1 Argentina AI-Driven Traffic Management Market by Deployment Mode
      • 10.4.6.2.2 Argentina AI-Driven Traffic Management Market by Technology
      • 10.4.6.2.3 Argentina AI-Driven Traffic Management Market by Component
      • 10.4.6.2.4 Argentina AI-Driven Traffic Management Market by Application
      • 10.4.6.2.5 Argentina AI-Driven Traffic Management Market by End User
    • 10.4.6.3 UAE AI-Driven Traffic Management Market
      • 10.4.6.3.1 UAE AI-Driven Traffic Management Market by Deployment Mode
      • 10.4.6.3.2 UAE AI-Driven Traffic Management Market by Technology
      • 10.4.6.3.3 UAE AI-Driven Traffic Management Market by Component
      • 10.4.6.3.4 UAE AI-Driven Traffic Management Market by Application
      • 10.4.6.3.5 UAE AI-Driven Traffic Management Market by End User
    • 10.4.6.4 Saudi Arabia AI-Driven Traffic Management Market
      • 10.4.6.4.1 Saudi Arabia AI-Driven Traffic Management Market by Deployment Mode
      • 10.4.6.4.2 Saudi Arabia AI-Driven Traffic Management Market by Technology
      • 10.4.6.4.3 Saudi Arabia AI-Driven Traffic Management Market by Component
      • 10.4.6.4.4 Saudi Arabia AI-Driven Traffic Management Market by Application
      • 10.4.6.4.5 Saudi Arabia AI-Driven Traffic Management Market by End User
    • 10.4.6.5 South Africa AI-Driven Traffic Management Market
      • 10.4.6.5.1 South Africa AI-Driven Traffic Management Market by Deployment Mode
      • 10.4.6.5.2 South Africa AI-Driven Traffic Management Market by Technology
      • 10.4.6.5.3 South Africa AI-Driven Traffic Management Market by Component
      • 10.4.6.5.4 South Africa AI-Driven Traffic Management Market by Application
      • 10.4.6.5.5 South Africa AI-Driven Traffic Management Market by End User
    • 10.4.6.6 Nigeria AI-Driven Traffic Management Market
      • 10.4.6.6.1 Nigeria AI-Driven Traffic Management Market by Deployment Mode
      • 10.4.6.6.2 Nigeria AI-Driven Traffic Management Market by Technology
      • 10.4.6.6.3 Nigeria AI-Driven Traffic Management Market by Component
      • 10.4.6.6.4 Nigeria AI-Driven Traffic Management Market by Application
      • 10.4.6.6.5 Nigeria AI-Driven Traffic Management Market by End User
    • 10.4.6.7 Rest of LAMEA AI-Driven Traffic Management Market
      • 10.4.6.7.1 Rest of LAMEA AI-Driven Traffic Management Market by Deployment Mode
      • 10.4.6.7.2 Rest of LAMEA AI-Driven Traffic Management Market by Technology
      • 10.4.6.7.3 Rest of LAMEA AI-Driven Traffic Management Market by Component
      • 10.4.6.7.4 Rest of LAMEA AI-Driven Traffic Management Market by Application
      • 10.4.6.7.5 Rest of LAMEA AI-Driven Traffic Management Market by End User

Chapter 11. Company Profiles

• 11.1 Siemens AG (Siemens Mobility)
  • 11.1.1 Company Overview
  • 11.1.2 Financial Analysis
  • 11.1.3 Segmental and Regional Analysis
  • 11.1.4 Research & Development Expense
  • 11.1.5 Recent strategies and developments:
    • 11.1.5.1 Partnerships, Collaborations, and Agreements:
    • 11.1.5.2 Product Launches and Product Expansions:
    • 11.1.5.3 Acquisition and Mergers:
  • 11.1.6 SWOT Analysis
• 11.2 Iteris, Inc.
  • 11.2.1 Company Overview
  • 11.2.2 Financial Analysis
  • 11.2.3 Research & Development Expenses
  • 11.2.4 Recent strategies and developments:
    • 11.2.4.1 Partnerships, Collaborations, and Agreements:
    • 11.2.4.2 Product Launches and Product Expansions:
• 11.3 Econolite Group, Inc.
  • 11.3.1 Company Overview
  • 11.3.2 Recent strategies and developments:
    • 11.3.2.1 Partnerships, Collaborations, and Agreements:
    • 11.3.2.2 Acquisition and Mergers:
• 11.4 Thales Group S.A.
  • 11.4.1 Company Overview
  • 11.4.2 Financial Analysis
  • 11.4.3 Segmental and Regional Analysis
  • 11.4.4 Research & Development Expenses
  • 11.4.5 Recent strategies and developments:
    • 11.4.5.1 Partnerships, Collaborations, and Agreements:
  • 11.4.6 SWOT Analysis
• 11.5 Huawei Technologies Co., Ltd. (Huawei Investment & Holding Co., Ltd.)
  • 11.5.1 Company Overview
  • 11.5.2 Financial Analysis
  • 11.5.3 Segmental and Regional Analysis
  • 11.5.4 Research & Development Expenses
  • 11.5.5 Recent strategies and developments:
    • 11.5.5.1 Partnerships, Collaborations, and Agreements:
    • 11.5.5.2 Product Launches and Product Expansions:
  • 11.5.6 SWOT Analysis
• 11.6 SWARCO AG
  • 11.6.1 Company Overview
  • 11.6.2 Recent strategies and developments:
    • 11.6.2.1 Partnerships, Collaborations, and Agreements:
    • 11.6.2.2 Product Launches and Product Expansions:
  • 11.6.3 SWOT Analysis
• 11.7 Ericsson AB
  • 11.7.1 Company Overview
  • 11.7.2 Financial Analysis
  • 11.7.3 Segmental and Regional Analysis
  • 11.7.4 Research & Development Expense
  • 11.7.5 Recent strategies and developments:
    • 11.7.5.1 Product Launches and Product Expansions:
  • 11.7.6 SWOT Analysis
• 11.8 IBM Corporation
  • 11.8.1 Company Overview
  • 11.8.2 Financial Analysis
  • 11.8.3 Regional & Segmental Analysis
  • 11.8.4 Research & Development Expenses
  • 11.8.5 Recent strategies and developments:
    • 11.8.5.1 Acquisition and Mergers:
  • 11.8.6 SWOT Analysis
• 11.9 Indra Sistemas, S.A.
  • 11.9.1 Company Overview
  • 11.9.2 Financial Analysis
  • 11.9.3 Segmental and Regional Analysis
  • 11.9.4 Research & Development Expenses
  • 11.9.5 Recent strategies and developments:
    • 11.9.5.1 Product Launches and Product Expansions:
• 11.10. ST Engineering Limited
  • 11.10.1 Company Overview
  • 11.10.2 Financial Analysis
  • 11.10.3 Segmental and Regional Analysis

Chapter 12. Winning Imperatives of AI-Driven Traffic Management Market