Intelligent Traffic Management Market: Global Industry Analysis 2017-2021 and Opportunity Assessment 2022-2032
A recent market study published by FMI on Intelligent Traffic Management offers a global industry analysis for 2017-2021 and opportunity assessment for 2022-2032. The study offers a comprehensive assessment of the most important market dynamics. After conducting thorough research on the historical and current growth parameters, the growth prospects of the market are obtained with maximum precision.
Market Segmentation
By Product Type:
- Traffic Monitoring System
- Traffic Signal Control System
- Traffic Enforcement Camera
- Intelligent Driver Information System
- Integrated Corridor Management
- Others
By Application:
- Highway
- Managed Lanes
- Others
By Region:
- North America
- Europe
- Asia Pacific
- Middle East and Africa
- Latin America
Report Chapters
Executive Summary
The executive summary of the Intelligent Traffic Management Market includes the global market outlook, demand side trends, supply side trends and also include FMI analysis and recommendations of Intelligent Traffic Management.
Chapter 01 - Market Overview
Readers can find the detailed segmentation and definition of the Intelligent Traffic Management Market in this chapter, which will help to understand basic information about Intelligent Traffic Management. This section also highlights the market scope, taxonomy and limitations which help the reader understand the market coverage of Intelligent Traffic Management Market report.
Chapter 02 - Market Background
This chapter includes detailed analysis of the By Nature processing methods overview, consumer buying patterns & tendencies and policy developments and regulatory scenario. It also includes in depth analysis of macro-economic factors and covers topics like global GDP growth outlook, global industry value added, personal consumption, expenditures, modern trade penetration and consumer price indices. The chapter also covers forecast factors - relevance & impact, value chain analysis and market dynamics (drivers, restraints and opportunities) to better understand the market.
Chapter 03 - Global Intelligent Traffic Management Market Demand Analysis 2017-2021 and Forecast, 2022-2032
The chapter include historical market value (US$ XX Billion) analysis (2017-2021) and current and future market value (US$ XX Million) and volume (7.7%) projections (2022-2032). The projections are based on the Y-O-Y growth trend analysis and absolute $ opportunity analysis country of operation.
Chapter 04 - Global Intelligent Traffic Management Market - Pricing Analysis
Based on By Nature, the pricing analysis chapter include Regional pricing analysis (USD/MT), global average pricing analysis benchmark, and key factors impacting the pricing.
Chapter 05 - Global Intelligent Traffic Management Market Analysis 2017-2021 and Forecast 2022-2032, By Product Type
Based on By Product Type, Intelligent Traffic Management Market is segmented into Traffic Monitoring System, Traffic Signal Control System, Traffic Enforcement Camera, Intelligent Driver Information System, Integrated Corridor Management, Others. This section also offers market attractiveness analysis based on By Product Type. Value forecast and Y-o-Y growth comparison will also be provided for above mentioned By Product Type.
Chapter 06 - Global Intelligent Traffic Management Market Analysis 2017-2021 and Forecast 2022-2032, By Application
Based on By Application, Intelligent Traffic Management Market is segmented into Highway, Managed Lanes, Others. This section also offers market attractiveness analysis based on By Application. Value forecast and Y-o-Y growth comparison will also be provided for above mentioned By Application.
Chapter 07 - Global Intelligent Traffic Management Market Analysis 2017-2021 and Forecast 2022-2032, By Region
Based on By Region, Intelligent Traffic Management Market is segmented into North America,Latin America,Europe,East Asia,South Asia & Pacific,Middle East & Africa. This section also offers market attractiveness analysis based on By Region. Readers can also find value forecast and Y-o-Y growth comparison for all above mentioned By Region.
Chapter 08 - North America Intelligent Traffic Management Market Analysis 2017-2021 and Forecast 2022-2032
This chapter includes a detailed analysis of the growth of the Intelligent Traffic Management in the North American Region, along with a country-wise assessment that includes the US and Canada. Readers can also find Regional trends, regulations, and market growth based on different segment and countries in the North America Region.
Chapter 09 - Latin America Intelligent Traffic Management Market Analysis 2017-2021 and Forecast 2022-2032
This chapter includes a detailed analysis of the growth of Intelligent Traffic Management in the Latin America Region, along with a country-wise assessment that includes the Brazil, Mexico, Chile, Argentina, Peru and Rest of Latin America. Readers can find detailed information about several factors, such as the pricing analysis and Regional trends, which are impacting growth of the Intelligent Traffic Management Market in the Latin America Region.
Chapter 10 - Europe Intelligent Traffic Management Market Analysis 2017-2021 and Forecast 2022-2032
This chapter includes a detailed analysis of the growth of Intelligent Traffic Management in the European Region, along with a country-wise assessment that includes the Germany, Italy, France, U.K., Spain, Russia, Nordic, Benelux and Rest of Europe. Readers can find detailed information about several factors, such as the pricing analysis and Regional trends, which are impacting growth of the Intelligent Traffic Management Market in the Regional market.
Chapter 11 - East Asia Intelligent Traffic Management Market Analysis 2017-2021 and Forecast 2022-2032
This chapter includes a detailed analysis of the growth of Intelligent Traffic Management in the East Asia Region, along with a country-wise assessment that includes the China, Japan, and South Korea. Readers can find detailed information about several factors, such as the pricing analysis and Regional trends, which are impacting growth of the Intelligent Traffic Management Market in the Regional market.
Chapter 12 - South Asia Intelligent Traffic Management Market Analysis 2017-2021 and Forecast 2022-2032
This chapter includes a detailed analysis of the growth of Intelligent Traffic Management in the South Asia Region, along with a country-wise assessment that includes the India, Indonesia, Malaysia, Thailand, and Rest of South Asia. Readers can find detailed information about several factors, such as the pricing analysis and Regional trends, which are impacting growth of the Intelligent Traffic Management Market in the Regional market.
Chapter 13 - Middle East and Africa Intelligent Traffic Management Market Analysis 2017-2021 and Forecast 2022-2032
This chapter includes a detailed analysis of the growth of Intelligent Traffic Management in the MEA Region, along with a country-wise assessment that includes the GCC Countries, South Africa, North Africa, Turkey and Rest of MEA. Readers can find detailed information about several factors, such as the pricing analysis and Regional trends, which are impacting growth of the Intelligent Traffic Management Market in the Regional market.
Chapter 14 - Key Countries Intelligent Traffic Management Market Analysis 2017-2021 and Forecast 2022-2032
This chapter offers insights into how the Intelligent Traffic Management Market is expected to grow in major countries globally.
Chapter 15 - Market Structure Analysis- Global Assessment
This chapter includes company dashboard, industry structure analysis by tier of companies, 2022E, company share analysis of top players, 2022E, and competition benchmarking- matrix.
Chapter 16 - Competition Deep Dive (Tentative List)
This chapter includes company overview, By Nature portfolio of companies, profitability by market segments, sales footprint, SWOT analysis and strategy overview of the companies being studied in the report. Some of the market players featured in the report are Kapsch TrafficCom AG, Siemens AG, Transcore, Delcan, SICE, Huawei Technologies Co., Alstom, Q-Free A.S.A, Cisco Systems, Inc., IBM Corporation.
Chapter 17 - Assumptions and Acronyms
This chapter includes a list of acronyms and assumptions that provide a base to the information and statistics included in the Intelligent Traffic Management report.
Chapter 18 - Research Methodology
This chapter helps readers understand the research methodology followed to obtain various conclusions, as well as important qualitative and quantitative information, on Intelligent Traffic Management Market.