Market Research Report
Intelligent Transportation System Market Size, Share & Trends Analysis Report By Type (ATIS, ATMS, ATPS, APTS, EMS), By Application, By Region, And Segment Forecasts, 2021 - 2028
|Intelligent Transportation System Market Size, Share & Trends Analysis Report By Type (ATIS, ATMS, ATPS, APTS, EMS), By Application, By Region, And Segment Forecasts, 2021 - 2028|
Published: July 27, 2021
Grand View Research, Inc.
Content info: 170 Pages
Delivery time: 2-10 business days
The global intelligent transportation system market size is expected to reach USD 42,936.1 million by 2028, registering a CAGR of 7.0% from 2021 to 2028, according to a new study by Grand View Research, Inc. Continued advances in the development of transportation networks have triggered the need for an efficient transportation system. At the same time, advances in the latest technologies, such as blind-spot detection and electronic toll collection, are continuously redefining the expectations and prospects for sustainable management of transportation networks and traffic. At this juncture, the growing need to present real-time traffic information to drivers and passengers is emerging as one of the key factors driving the demand for intelligent transportation system (ITS).
Advances in telecommunications technologies and the evolution of IT systems are expected to help in reducing traffic congestions. Given that modern traffic control strategies focus more on utilizing real-time data while simultaneously addressing impact criteria, such as emission control; the integration of ITS with smart grid and other energy distribution and charging systems can potentially help distribution agencies in utilizing the real-time data to draft capacity expansion strategies for the future. According to the ITS Development Strategy drafted by the Department of Transport of the Republic of Korea, intelligent transportation systems can help significantly in reducing traffic congestion, preventing automobile idling, and subsequently in reducing fuel consumption and hence greenhouse gas emissions.
The growing volumes of data involved in transportation management are driving the need for more sophisticated data processing solutions. As such, intelligent transportation systems are leveraging AI to track data in real-time and optimize efficiency. International Business Machine's Watson is an example of the implementation of artificial intelligence (AI) in transportation management to identify damages to logistics assets leveraging cognitive visual recognition capabilities and to manage the network and optimize routes leveraging predictive analysis.