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Home›Transport business›Global Intelligent Transportation Market (2022 to 2027) – by Technology, Solution Type, Transportation Mode, Business Model and Vehicle Types – ResearchAndMarkets.com

Global Intelligent Transportation Market (2022 to 2027) – by Technology, Solution Type, Transportation Mode, Business Model and Vehicle Types – ResearchAndMarkets.com

By Linda Glidden
February 11, 2022
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DUBLIN–(BUSINESS WIRE)–The report “Intelligent Transportation Market by Technology, Solution Type, Transportation Mode, Business Model, and Vehicle Types 2022-2027” has been added to from ResearchAndMarkets.com offer.

This report assesses the intelligent transportation market by technology and solutions with segmentation by business model, transportation mode, and vehicle types from 2022 to 2027. The report assesses global, regional, and country-specific market opportunities.

Key intelligent transportation technologies covered in the report include: automatic vehicle location systems, traveler information systems, electronic payment systems, and intelligent vehicle initiative systems.

Companies cited

  • Accenture

  • Advantech Co. Ltd

  • AG International

  • Alstom

  • AVEVA Group PLC

  • Low

  • Bentley Systems

  • Cisco

  • leads

  • Cubic

  • Descartes

  • Huawei

  • IBM

  • Indra Systems

  • Kapsch

  • LG SNC

  • MSR-Traffic

  • Oracle

  • Saab

  • SAP

  • Schneider-Electric

  • Siemens

  • Thales Group

  • TomTom International BV.

  • Toshiba

  • Trimble

Select report results:

  • Global Global Smart Transportation Market to Reach $191.5 Billion by 2027

  • Europe and North America will be the main markets with $64.5 billion and $62.5 billion

  • Germany will be the first country in the European market, reaching 17.8 billion dollars by 2027

  • Integrated Supervisory Systems in North America Will Be a $13.3 Billion Opportunity by 2027

  • Roads, air and railways will be the main modalities in all regional markets until 2027

  • Smart water transport for terminals, conveyances and vessels will be the fastest growing modality

  • The main intelligent transport technologies include: automatic vehicle location system, traveler information system, electronic payment system, intelligent vehicle initiative system

Intelligent transport consists of systems in which information and communication technologies are applied in the field of road, air, maritime and rail transport, including infrastructure, vehicles and users and in traffic management and mobility management, as well as for interfaces with other transport modes.

It is based on the integration of many systems, such as automated vehicle tracking system, real-time traffic information system, automated fare collection system, parking information system, etc Taking all these systems into account, the global intelligent transportation market in 2021 reached $97.1 billion. We estimate the global global intelligent transportation market to reach $191.5 billion by 2027.

Additionally, intelligent transportation represents a systematic way to solve, or at least minimize, traffic problems and general congestion in cities and major transportation arteries. Often, the challenges faced by intelligent transportation systems come from the emergence of technologies in operational management, such as automation, sharing and electrification.

With the emergence of intelligent transportation systems and advancements in the Internet of Things (IoT), the world is entering a new paradigm of intelligent transportation. According to the U.S. Department of Transportation, intelligent transportation systems leverage technologies to monitor, assess, and manage transportation systems to improve efficiency and safety. These technologies will include IoT as well as AI and 5G telecommunications.

Main topics covered:

1.0 Executive Summary

2.0 Presentation

3.0 Intelligent Transportation Market Dynamics

3.1 Drivers

3.1.1 Supportive government initiatives

3.1.2 Adoption of IoT and automation technologies to enhance technology optimization

3.1.3 Increase in urbanization, increase in megacities and population

3.2 Challenges

3.2.1 Lack of standards and interoperability

3.2.2 High costs

4.0 Intelligent Transportation Case Studies

4.1 Traffic management in Dallas, Texas

4.2 Railway management in Germany

4.3 Sri Lanka case study

4.4 Traffic Management System Upgrade

4.5 Florida Department of Transportation Case Study

4.6 Kentkart case study

4.7 Pennsylvania Turnpike Commission Case Study

4.8 Road modality and occupancy detection in the smart city of Dordrecht

5.0 Global Intelligent Transportation Market Analysis and Forecast 2022-2027

5.1 Global Intelligent Transportation Market by Technology 2022-2027

5.1.1 Automatic Vehicle Location System

5.1.2 Passenger information system

5.1.3 Electronic payment system

5.1.4 Intelligent Vehicle Initiative System

5.2 Intelligent Transportation Market by Solution Type 2022-2030

5.2.1 Traffic management system

5.2.2 Integrated supervision system

5.2.3 Parking management system

5.2.4 Ticket management system

5.3 Intelligent Transportation Market by Means of Transportation 2022-2027

5.3.1 Pavements

5.3.2 Railways

5.3.3 Air

5.3.4 Water

5.4 Intelligent Transportation Market by Business Model 2022-2027

5.4.1 Private

5.4.2 Public

5.4.3 Shared

5.5 Intelligent Transportation Market by Vehicle Type 2022-2027

5.5.1 Cars

5.5.2 Trucks

5.5.3 Ships

5.5.4 Airplanes

5.5.5 Railways

5.5.6 Drone

6.0 Regional Intelligent Transportation Markets 2022-2027

7.0 Business Analysis

8.0 Conclusion

9.0 Appendix: Connected Vehicles

For more information about this report, visit https://www.researchandmarkets.com/r/p8c0dk.

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