announces the addition of a new research report to its forever expanding repository. The research report, titled “IoT in Intelligent Transportation System Market – Global Industry Analysis, Size, Share, Growth, Trends, and Forecast 2017 – 2025,” offers a detailed explanation of the strengths, weaknesses, opportunities, and threats impacting the trajectory of the global market. The report identifies the factors pertaining to the emerging field of the Internet of Things (IoT) across the transportation sector to understand how it is likely to impact the overall market. The report segments the IoT in transportation system market on the basis of component, end-use vertical, and geography, identifies the leading players while exploring the competitive landscape, and catches some of the latest trends that are primed to redefine this market.

As per the findings of the report, the global IoT in intelligent transportation system market is driven by a number of factors, such as increased investment for the research and development of IoT related software, advent of dedicated short-range communications (DSRC) for the vehicle-to-vehicle (V2V) communication, improving efficiency of the solutions as a result of integration of technologies, and standardization of Internet Protocol version 6 (IPv6). On the other hand, the need for further improvements related to battery, increased complexity owing to Big Data, development of underlying embedded devices for IoT, and security of data generated by IoT devices are some of the restraints obstructing the prosperity of this market. Nevertheless, the vendors operating in the global IoT in intelligent transportation system market are expected to gain new opportunities from relaxed regulatory by various governments, growing field of predictive maintenance (Pdm), and mushrooming data centers as a result of deployment of IoT.

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Based on component, the market for IoT in intelligent transportation system market has been segmented into hardware, software, and services. The hardware segment is further sub-segmented into sensors, cameras, positioning hardware, screen or display, networking hardware such as routers, hub, RFID, and antennas, and others. Software-wise, the market has been further bifurcated into ticketing, advance driver assistance, traffic management (intelligent signaling, communication solutions, traffic analytics, and incident detection), operation (passenger management, revenue management, and workforce management), passenger (station or on-board system, location based information, and multimedia solutions), and logistics and fleet solutions (management solutions and tracking solutions). Services-wise, the component segment of the global IoT in intelligent transportation system market has been further categorized into support service, installation and integration services, maintenance and management service, and others. On the basis of end-use vertical, the report classifies the market into roadways, airways, railways, and maritime.

Geographically, this report takes stock of the potential of IoT in intelligent transportation system market in the regions of North America, Europe, Asia Pacific (APAC), and the Middle East and Africa (MEA). Some of the key countries evaluated for the demand of IoT in intelligent transportation system market under this report are: The U.S., Canada, The U.K., Germany, France, India, China, Japan, Australia, Brazil, and South Africa.

In order to represent the existing competitive landscape of the IoT in intelligent transportation system market, this report contains profiles of some of leading companies including Cisco Systems, Cubic Transportation Systems, IBM Corporation, Intel Corporation, Iteris Inc., Huawei Technologies Co., Ltd., NEC Corporation, Microsoft Corporation, Hitachi Transport System Ltd., Siemens AG, Thales Group, TransCore Holdings, Inc., TomTom NV, Watson Internet of Things (IBM), and Verizon Telematics. For each of these companies, the report provides business overview, market presence by segment, strategic overview, financial details, and SWOT analysis.