세계의 스마트 시티용 ATM 시장 - 시장 규모 : 유형별, 용도별, 지역별, 예측

Advanced Traffic Management for Smart Cities Market Size And Forecast

Advanced Traffic Management for Smart Cities Market size was valued at USD 18.89 Billion in 2024 and is projected to reach USD 39.31 Billion by 2032, growing at a CAGR of 10.58% from 2026 to 2032.

Increased government initiatives to develop smart city infrastructure, growing concerns about road safety and traffic congestion, and rising adoption of intelligent transport systems are some of the key factors driving the growth of the global advanced traffic management for smart cities market. Furthermore, technological advancements such as artificial intelligence (AI), big data analytics, and IoT are boosting market growth. The global advanced traffic management for smart cities market report provides a holistic evaluation of the market. The report offers a comprehensive analysis of key segments, trends, drivers, restraints, competitive landscape, and factors that are playing a substantial role in the market.

Global Advanced Traffic Management for Smart Cities Market Definition

The use of modern technology and intelligent systems to manage and optimise traffic flow in urban areas is referred to as modern Traffic Management (ATM) for Smart Cities. It is an integrated approach to traffic management that includes real-time traffic data collection, analysis, and dissemination, as well as the deployment of smart infrastructure and communication networks to facilitate real-time decision making and coordination among various stakeholders.

ATM systems collect and interpret traffic data in real time using a variety of technologies like as sensors, cameras, GPS, and data analytics. This information is used to build a digital model of the city's traffic system, which can be used to identify traffic patterns and predict congestion ahead of time. Traffic managers can make informed judgements about traffic signal timing, route planning, and other actions to optimise traffic flow and alleviate congestion using this data.

Global Advanced Traffic Management for Smart Cities Market Overview

The most important development factor for the Advanced Traffic Management for Smart Cities Market is the increasing usage of automated traffic management systems driven by Artificial Intelligence (AI) and the Internet of Things (IoT) to regulate traffic congestion. Rising concerns about traffic congestion and automobile accidents, as well as increased investment in smart city development from government agencies and commercial construction firms, have fueled demand for advanced traffic management systems. The benefits that are projected to drive market expansion include predictive traffic optimization, detection of traffic congestion, proof in acquittal or traffic law infringement. However, the high initial cost of setup and the risk of system hacking are factors that may hamper market growth.

Global Advanced Traffic Management for Smart Cities Market Segmentation Analysis

The Global Advanced Traffic Management for Smart Cities Market is Segmented on the basis of Types, Application, and Geography.

Advanced Traffic Management for Smart Cities Market, By Types

• Hardware
• Software
• Services

Based on Types, the market is segmented into Hardware, Software, and Services. Hardware segment holds the largest market share during the forecasted period. Any physical device used in the advanced traffic management process, such as sensors, cameras, and signs, is considered hardware. This type of equipment is required for data collecting and analysis, which serves as the foundation for sound decision-making. Hardware is a crucial component of the traffic management process since it ensures that data is captured correctly. The usage of hardware can assist organizations in improving safety and maximizing traffic flow. Furthermore, hardware can be used to provide real-time information to drivers about road conditions.

Advanced Traffic Management for Smart Cities Market, By Application

• Intelligent Transportation Systems (ITS) Companies
• Automotive and Mobility Companies
• IT, Networking, and Telecoms Companies
• Government Agencies
• Investor Community

Based on Application, the market is segmented into Intelligent Transportation Systems (ITS) Companies, Automotive and Mobility Companies, IT, Networking, and Telecoms Companies, Government Agencies, Investor Community.

Advanced Traffic Management for Smart Cities Market, By Geography

• North America
• Europe
• Asia Pacific
• Rest of the World
• On the basis of Geography, the Global Advanced Traffic Management for Smart Cities Market is classified into North America, Europe, Asia Pacific, and the Rest of the world. North America is expected to grow rapidly. The major nations contributing to the growth of the advanced traffic management for smart cities market in this region are the United States and Canada.
• This market's rapid expansion can be ascribed to factors such as increased awareness of the benefits of smart city technology, ongoing digitization initiatives performed by government agencies, and increased investments by key companies in R&D operations. During the forecast period, the Latin American market is expected to grow at a moderate rate. The important nations contributing to the growth of this market in this region are Brazil, Mexico, and Argentina.

Key Players

The "Global Advanced Traffic Management for Smart Cities Market" study report will provide valuable insight with an emphasis on the global market. The major players in the market are, Siemens AG, Cisco Systems, Inc., IBM Corp, Cubic Corportion, Thales Group, Accenture plc, Kapsch TrafficCom AG., Atkins Global, SWARCO AG, PTV Group, Huawei Technologies Co. Ltd., Iteris, Inc., Indra Sistemas SA, Fujitsu Limited, Sensys Networks, Inc., TransCore LP, Garmin Ltd., Rapid Flow Technologies, Inc., Advanced Microgrid Solutions (AMS) and others.

Our market analysis also entails a section solely dedicated for such major players wherein our analysts provide an insight to the financial statements of all the major players, along with its product benchmarking and SWOT analysis. The competitive landscape section also includes key development strategies, market share and market ranking analysis of the above-mentioned players globally.

• Ace Matrix Analysis
• The Ace Matrix provided in the report would help to understand how the major key players involved in this industry are performing as we provide a ranking for these companies based on various factors such as service features & innovations, scalability, innovation of services, industry coverage, industry reach, and growth roadmap. Based on these factors, we rank the companies into four categories as Active, Cutting Edge, Emerging, and Innovators.
• Market Attractiveness
• The image of market attractiveness provided would further help to get information about the region that is majorly leading in the global advanced traffic management for smart cities market. We cover the major impacting factors that are responsible for driving the industry growth in the given region.
• Porter's Five Forces
• The image provided would further help to get information about Porter's five forces framework providing a blueprint for understanding the behavior of competitors and a player's strategic positioning in the respective industry. Porter's five forces model can be used to assess the competitive landscape in the global advanced traffic management for smart cities market, gauge the attractiveness of a certain sector, and assess investment possibilities.

TABLE OF CONTENTS

1 INTRODUCTION OF GLOBAL ADVANCED TRAFFIC MANAGEMENT FOR SMART CITIES MARKET

• 1.1 Overview of the Market
• 1.2 Scope of Report
• 1.3 Assumptions

2 EXECUTIVE SUMMARY

3 RESEARCH METHODOLOGY OF VERIFIED MARKET RESEARCH

• 3.1 Data Mining
• 3.2 Validation
• 3.3 Primary Interviews
• 3.4 List of Data Sources

4 GLOBAL ADVANCED TRAFFIC MANAGEMENT FOR SMART CITIES MARKET OUTLOOK

• 4.1 Overview
• 4.2 Market Dynamics
  • 4.2.1 Drivers
  • 4.2.2 Restraints
  • 4.2.3 Opportunities
• 4.3 Porters Five Force Model
• 4.4 Value Chain Analysis

5 GLOBAL ADVANCED TRAFFIC MANAGEMENT FOR SMART CITIES MARKET, BY TYPES

• 5.1 Hardware
• 5.2 Software
• 5.3 Services

6 GLOBAL ADVANCED TRAFFIC MANAGEMENT FOR SMART CITIES MARKET, BY APPLICATION

• 6.1 Intelligent Transportation Systems (ITS) Companies
• 6.2 Automotive and Mobility Companies
• 6.3 IT, Networking, and Telecoms Companies
• 6.4 Government Agencies
• 6.5 Investor Community

7 GLOBAL ADVANCED TRAFFIC MANAGEMENT FOR SMART CITIES MARKET, BY GEOGRAPHY

• 7.1 Overview
• 7.2 North America
  • 7.2.1 U.S.
  • 7.2.2 Canada
  • 7.2.3 Mexico
• 7.3 Europe
  • 7.3.1 Germany
  • 7.3.2 U.K.
  • 7.3.3 France
  • 7.3.4 Italy
  • 7.3.5 Spain
  • 7.3.6 Rest of Europe
• 7.4 Asia Pacific
  • 7.4.1 China
  • 7.4.2 Japan
  • 7.4.3 India
  • 7.4.4 Rest of Asia Pacific
• 7.5 Rest of the World
  • 7.5.1 Latin America
  • 7.5.2 Middle East and Africa

8 GLOBAL ADVANCED TRAFFIC MANAGEMENT FOR SMART CITIES MARKET COMPETITIVE LANDSCAPE

• 8.1 Overview
• 8.2 Company Market Ranking
• 8.3 Key Development Strategies

9 COMPANY PROFILES

• 9.1 Siemens AG
  • 9.1.1 Company Overview
  • 9.1.2 Company Insights
  • 9.1.3 Business Breakdown
  • 9.1.4 Product Benchmarking
  • 9.1.5 Key Developments
  • 9.1.6 Winning Imperatives
  • 9.1.7 Current Focus & Strategies
  • 9.1.8 Threat from Competition
  • 9.1.9 SWOT Analysis
• 9.2 Cisco Systems Inc
  • 9.2.1 Company Overview
  • 9.2.2 Company Insights
  • 9.2.3 Business Breakdown
  • 9.2.4 Product Benchmarking
  • 9.2.5 Key Developments
  • 9.2.6 Winning Imperatives
  • 9.2.7 Current Focus & Strategies
  • 9.2.8 Threat from Competition
  • 9.2.9 SWOT Analysis
• 9.3 IBM Corp
  • 9.3.1 Company Overview
  • 9.3.2 Company Insights
  • 9.3.3 Business Breakdown
  • 9.3.4 Product Benchmarking
  • 9.3.5 Key Developments
  • 9.3.6 Winning Imperatives
  • 9.3.7 Current Focus & Strategies
  • 9.3.8 Threat from Competition
  • 9.3.9 SWOT Analysis
• 9.4 Cubic Corp
  • 9.4.1 Company Overview
  • 9.4.2 Company Insights
  • 9.4.3 Business Breakdown
  • 9.4.4 Product Benchmarking
  • 9.4.5 Key Developments
  • 9.4.6 Winning Imperatives
  • 9.4.7 Current Focus & Strategies
  • 9.4.8 Threat from Competition
  • 9.4.9 SWOT Analysis
• 9.5 Thales Group
  • 9.5.1 Company Overview
  • 9.5.2 Company Insights
  • 9.5.3 Business Breakdown
  • 9.5.4 Product Benchmarking
  • 9.5.5 Key Developments
  • 9.5.6 Winning Imperatives
  • 9.5.7 Current Focus & Strategies
  • 9.5.8 Threat from Competition
  • 9.5.9 SWOT Analysis
• 9.6 Accenture Plc
  • 9.6.1 Company Overview
  • 9.6.2 Company Insights
  • 9.6.3 Business Breakdown
  • 9.6.4 Product Benchmarking
  • 9.6.5 Key Developments
• 9.7 Kapsch TrafficCom AG
  • 9.7.1 Company Overview
  • 9.7.2 Company Insights
  • 9.7.3 Business Breakdown
  • 9.7.4 Product Benchmarking
  • 9.7.5 Key Developments
• 9.8 Atkins Global
  • 9.8.1 Company Overview
  • 9.8.2 Company Insights
  • 9.8.3 Business Breakdown
  • 9.8.4 Product Benchmarking
  • 9.8.5 Key Developments
• 9.9 SWARO AG
  • 9.9.1 Company Overview
  • 9.9.2 Company Insights
  • 9.9.3 Business Breakdown
  • 9.9.4 Product Benchmarking
  • 9.9.5 Key Developments
• 9.10 PTV Group
  • 9.10.1 Company Overview
  • 9.10.2 Company Insights
  • 9.10.3 Business Breakdown
  • 9.10.4 Product Benchmarking
  • 9.10.5 Key Developments
• 9.11 Tom Tom International BV
  • 9.11.1 Company Overview
  • 9.11.2 Company Insights
  • 9.11.3 Business Breakdown
  • 9.11.4 Product Benchmarking
  • 9.11.5 Key Developments
• 9.12 Huawei Technologies Co.,Ltd
  • 9.12.1 Company Overview
  • 9.12.2 Company Insights
  • 9.12.3 Business Breakdown
  • 9.12.4 Product Benchmarking
  • 9.12.5 Key Developments
• 9.13 Interis Inc.
  • 9.13.1 Company Overview
  • 9.13.2 Company Insights
  • 9.13.3 Business Breakdown
  • 9.13.4 Product Benchmarking
  • 9.13.5 Key Developments
  • 9.13.6 Indra System SA.
  • 9.13.7 Company Overview
  • 9.13.8 Company Insights
  • 9.13.9 Business Breakdown
  • 9.13.10 Product Benchmarking
  • 9.13.11 Key Developments

10 KEY DEVELOPMENTS

• 10.1 Product Launches/Developments
• 10.2 Mergers and Acquisitions
• 10.3 Business Expansions
• 10.4 Partnerships and Collaborations

11 Appendix

• 11.1 Related Research