Market Research Report
Smart Cities, Asset Tracking, Big Data, and Connected Vehicles
|Published by||Mind Commerce||Product code||780396|
|Published||Content info||512 Pages
Delivery time: 1-2 business days
|Smart Cities, Asset Tracking, Big Data, and Connected Vehicles|
|Published: January 29, 2019||Content info: 512 Pages||
Urban centers produce enormous amounts of data through the introduction of Internet of Things (IoT) driven automation. With IoT supported Smart Transportation Systems, Connected Vehicle originated data will be amplified in importance, especially when converted into useful information via Big Data Analytics supported by Artificial Intelligence (AI). Smart Cities rely upon many technologies, but at the core will be AI providing learning and decision making for IoT networks, and IoT systems providing connectivity and communications for AI algorithms.
One of the biggest beneficiaries will be connected cars, trucks, vans, trains, and other terrestrial-based vehicles. In order to obtain transportation related data, and to place into appropriate context, asset tracking solutions are needed that monitor vehicle location, usage information, and proximity to smart city points of interest. With the introduction of autonomous vehicles, the volume and velocity of data increases dramatically, necessitating the need for Big Data tools.
This research evaluates the smart cities market including leading vendors and strategies (such as a single vendor centric approach), infrastructure, solutions, applications and services. It also analyzes market factors driving solution adoption, technology readiness and fitness for use, and other considerations. It assesses the aforementioned factors to derive penetration and revenue to forecast market value for the period of 2018 - 2023. It also analyses the role of technology accelerating digital transformation including AI, edge processing, 5G deployment and usage, and advanced data analytics.
This research also evaluates asset tracking technologies, solutions, and ecosystem including major players. It assesses the impacts of various use case specific considerations in terms of asset technology and solution selection. It also analyzes the market outlook for asset tracking globally, regionally, and by major country in each region. Quantitative data and forecasts include market segmentation by technology, connection type, range of mobility, location requirements, and by industry vertical from 2018 to 2023.
This research also provides an in-depth assessment of the global Big Data market, including business case issues/analysis, application use cases, vendor landscape, value chain analysis, and a quantitative assessment of the industry with forecasting from 2018 to 2023. It also evaluates the components of Big Data infrastructure and security framework. Taking into consideration profound changes in the data services industry as whole, analysis also addresses a shift from host-based network topologies to cloud-based, data-centric architectures, thereby creating enormous challenges and opportunities for transitioning and securing data systems.
This research also evaluates the V2X market including technologies, solutions, and major players. It provides analysis of market challenges, opportunities, and overall business outlook. It analyzes the market for V2X across platforms (hardware, software, services), major automobile control units, and solution type. The report assesses the deployment of V2X across communications and computing infrastructure including LTE, 5G, and Mobile Edge Computing. It also evaluates technology and solution convergence including Artificial Intelligence, Big Data, and Cloud Computing in V2X. The report includes detailed forecasts for V2V, V2I, V2P, V2H, and V2D market from 2018 to 2023. All direct purchases of Mind Commerce reports includes time with an expert analyst who will help you link key findings in the report to the business issues you're addressing. This needs to be used within three months of purchasing the report.