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

Global AI-Driven Traffic Management Market Size, Share & Trends Analysis Report By Deployment Mode, By Technology, By Component (Software, Hardware, and Services), By Application, By End User, By Regional Outlook and Forecast, 2024 - 2031

발행일: 2024년 10월 | 리서치사:

KBV Research | 페이지 정보: 영문 367 Pages | 배송안내 : 즉시배송

※ 본 상품은 영문 자료로 한글과 영문 목차에 불일치하는 내용이 있을 경우 영문을 우선합니다. 정확한 검토를 위해 영문 목차를 참고해주시기 바랍니다.

세계 AI 기반 트래픽 관리 시장 규모는 예측 기간 동안 29.7%의 연평균 복합 성장률(CAGR)로 성장하여 2031년까지 1,441억 달러에 달할 것으로 예상됩니다.

KBV Cardinal Matrix-AI 기반 트래픽 관리 시장 경쟁 분석

KBV Cardinal Matrix의 분석에 따르면, 화웨이 테크놀로지스(Huawei Technologies Co., Ltd.), 지멘스(Siemens AG), IBM Corporation이 AI 기반 트래픽 관리 시장의 선구자이며, 2024년 4월 화웨이 테크놀로지스(Huawei Technologies Co., Ltd.)와 KT가 AI 기술을 통합하여 네트워크 보안을 강화하고 사용자 경험을 향상시키며 지속가능성을 촉진하기 위해 Technologies Co., Ltd.와 HKT는 AI를 활용하여 네트워크 보안을 강화하고, 사용자 경험을 개선하고, 지속가능성을 촉진하기 위해 AI 기술을 통합하여 운영을 자동화하고, 서비스를 최적화하고, 지능형 네트워크의 변화를 지원합니다. Iteris, Inc. 및 Ericsson AB와 같은 기업들은 AI 기반 트래픽 관리 시장의 주요 혁신가 중 일부입니다.

시장 성장 요인

도시 인구가 증가함에 따라 차량과 보행자 밀도가 증가합니다. 이러한 혼잡으로 인해 이동 시간이 길어지고 사고율이 높아지며 대기 오염 수준이 증가합니다. 첨단 AI 기반 교통 솔루션은 실시간 교통 패턴을 분석하고, 신호등 타이밍을 최적화하고, 교통 경로를 재조정하고, 혼잡을 줄일 수 있습니다. 도시가 성장함에 따라 도시는 인프라와 자원에 대한 압박에 직면하고 있습니다. 결론적으로 도시화의 가속화는 첨단 교통 솔루션에 대한 수요로 이어져 시장 성장을 가속할 것입니다.

또한, 도시 인구와 자동차 소유가 증가함에 따라 교통사고는 전 세계적으로 시급한 문제로 대두되고 있습니다. 세계보건기구(WHO)에 따르면 교통사고로 인한 부상은 전 세계 사망의 주요 원인으로 매년 약 135만 명이 사망하고 있습니다. 이 놀라운 통계로 인해 정부와 교통 당국은 안전 조치를 우선시하고 위험을 줄이기 위해 첨단 기술을 도입하고 있습니다. 따라서 안전과 사고 관리에 대한 강조가 시장 성장을 주도하고 있습니다.

시장 성장 억제요인

이러한 시스템을 도입하기 위해서는 많은 인프라 투자가 필요한 경우가 많습니다. 여기에는 기존 교통 신호등 업그레이드, 센서 및 카메라 설치, 데이터 교환을 지원하는 강력한 통신 네트워크 구축 등이 포함됩니다. 높은 초기 비용으로 인해 특히 예산이 한정된 지자체에서는 도입을 주저할 수 있습니다. 기존 교통 관리 시스템에 첨단 AI 솔루션을 통합하는 것은 복잡하고 비용이 많이 들 수 있습니다. 결론적으로 고급 교통 솔루션의 높은 도입 비용이 시장 성장을 저해하는 요인으로 작용하고 있습니다.

시장의 주요 기업들은 시장에서 경쟁력을 유지하기 위해 다양하고 혁신적인 제품으로 경쟁하고 있습니다. 시장의 주요 기업들은 다양한 산업 수요를 충족시키기 위해 다양한 전략을 채택하고 있습니다. 시장의 주요 개발 전략은 파트너십과 협업입니다.

전개 모드 전망

배치 모드에 따라 이 시장은 클라우드와 온프레미스로 구분되며, 2023년에는 온프레미스 부문이 이 시장에서 44%의 매출 점유율을 기록할 것으로 예상됩니다. 데이터 보안, 제어 및 현지 규정 준수에 대한 우려로 인해 온프레미스 배포를 선호하는 경우가 많습니다. 온프레미스 솔루션은 조직이 데이터와 시스템을 직접 제어할 수 있어 민감한 트래픽 데이터가 인프라 내에 머무를 수 있도록 합니다. 이 배포 모드는 특히 고도의 커스터마이징과 기존 인프라와의 통합이 필요한 정부 기관과 대규모 교통 관리 센터에서 선호합니다.

기술 전망

기술에 따라 이 시장은 머신러닝(ML), 컴퓨터 비전, 자연어 처리(NLP), 사물인터넷(IoT) 등으로 분류됩니다. 컴퓨터 비전 부문은 2023년 이 시장에서 27%의 매출 점유율을 기록했습니다. 컴퓨터 비전 기술을 통해 단일 이미지 또는 일련의 이미지에서 유용한 정보를 자동으로 추출, 분석 및 이해할 수 있습니다. 교통 관리에서 컴퓨터 비전은 차량 감지, 번호판 인식, 비디오 모니터링을 통한 교통 상황 모니터링에 사용됩니다.

컴포넌트 전망

컴포넌트를 기준으로 이 시장은 소프트웨어, 하드웨어, 서비스로 나뉘며, 2023년 하드웨어 부문은 이 시장에서 35%의 매출 점유율을 차지할 것으로 예상됩니다. 이 부문에는 센서, 카메라 및 교통 관리 시스템의 기능에 필수적인 기타 장치와 같은 물리적 구성 요소가 포함됩니다. 하드웨어 부문의 높은 매출 점유율은 이러한 솔루션을 구현하는 데 필요한 물리적 인프라에 대한 막대한 투자를 나타냅니다.

응용 분야 전망

용도을 기준으로 이 시장은 교통 신호 제어 시스템, 경로 최적화, 사고 감지 및 관리, 대중교통 관리, 기타로 분류되며, 2023년에는 사고 감지 및 관리 부문이 이 시장에서 24%의 매출 점유율을 차지할 것으로 예상됩니다. 이 부문에는 사고 및 고장과 같은 교통 사고를 실시간으로 감지하고 이러한 사고에 대한 대응을 관리하는 기술 및 시스템이 포함됩니다. 이 부문의 높은 점유율은 교통 혼잡을 최소화하고 도로 안전을 강화하며 원활한 교통 흐름을 보장하기 위해 신속한 사고 감지 및 효과적인 관리의 중요성을 강조하고 있습니다.

최종 사용자 전망

최종 사용자를 기준으로 이 시장은 정부 기관, 고속도로 운영자, 기타로 구분되며, 2023년에는 고속도로 운영자 부문이 이 시장에서 32%의 매출 점유율을 차지할 것으로 예상됩니다. 고속도로 운영자(고속도로 및 고속도로 유지 관리를 담당하는 조직 포함)는 교통 흐름을 개선하고 이동 시간을 단축하며 고속도로의 안전을 개선하기 위해 AI 기반 솔루션을 점점 더 많이 채택하고 있습니다. 이러한 솔루션에는 예측 유지 보수, 실시간 교통 모니터링 및 사고 관리를 위한 AI가 포함됩니다.

지역 전망

지역별로 이 시장은 북미, 유럽, 아시아태평양, 라틴아메리카, 중동 및 아프리카에서 분석되었으며, 2023년에는 아시아태평양이 이 시장에서 25%의 매출 점유율을 차지할 것으로 예상됩니다. 이 지역의 정부는 교통 혼잡, 오염 및 도로 안전 문제를 해결하기 위해 첨단 교통 관리 기술을 채택하는 데 점점 더 많은 초점을 맞추었습니다. 이 지역의 상당한 매출 점유율은 교통 관리 분야의 기술 발전과 AI 기반 솔루션의 구현 증가를 반영합니다.

시장 경쟁 및 특성

AI 기반 교통 관리 시장은 다양한 스타트업과 신생 기업들 사이에서 다양한 경쟁이 벌어지고 있는 것이 특징입니다. 이들 기업은 혁신적인 기술을 활용해 교통 흐름을 개선하고, 교통 체증을 줄이며, 안전성을 향상시키고 있습니다. 기존 업체들의 문제에 직면하고 있지만, 시장의 성장 가능성은 지속적인 발전을 촉진하고 역동적이고 경쟁적인 환경을 조성하고 있습니다.

북미
- 북미의 AI 기반 트래픽 관리 시장 : 국가별
  - 미국
  - 캐나다
  - 멕시코
  - 기타 북미
유럽
- 유럽의 AI 기반 트래픽 관리 시장 : 국가별
  - 독일
  - 영국
  - 프랑스
  - 러시아
  - 스페인
  - 이탈리아
  - 기타 유럽
아시아태평양
- 아시아태평양의 AI 기반 트래픽 관리 시장 : 국가별
  - 중국
  - 일본
  - 인도
  - 한국
  - 호주
  - 말레이시아
  - 기타 아시아태평양
라틴아메리카/중동 및 아프리카
- 라틴아메리카/중동 및 아프리카의 AI 기반 트래픽 관리 시장 : 국가별
  - 브라질
  - 아르헨티나
  - 아랍에미리트(UAE)
  - 사우디아라비아
  - 남아프리카공화국
  - 나이지리아
  - 기타 라틴아메리카/중동 및 아프리카

제11장 기업 개요

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

제12장 AI 기반 트래픽 관리 시장을 위한 성공 필수 조건

LSH 24.11.12

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

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

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

Global AI-Driven Traffic Management Market Size, Share & Trends Analysis Report By Deployment Mode, By Technology, By Component (Software, Hardware, and Services), By Application, By End User, By Regional Outlook and Forecast, 2024 - 2031

목차

제1장 시장 범위와 조사 방법

제2장 시장 요람

제3장 시장 개요

제4장 경쟁 분석 : 세계

제5장 세계의 AI 기반 트래픽 관리 시장 : 전개 모드별

제6장 세계의 AI 기반 트래픽 관리 시장 : 기술별

제7장 세계의 AI 기반 트래픽 관리 시장 : 컴포넌트별

제8장 세계의 AI 기반 트래픽 관리 시장 : 용도별

제9장 세계의 AI 기반 트래픽 관리 시장 : 최종사용자별

제10장 세계의 AI 기반 트래픽 관리 시장 : 지역별