Search results for: 'cloud data learning'

The automotive sector is undergoing a profound shift toward the software-defined vehicle, transforming cars into dynamic, upgradeable digital platforms. This transition critically demands advanced cloud computing to manage, process, and secure the vast amounts of data generated, establishing data management as a core strategic imperative for origin...

Cities are evolving toward a more sustainable and efficient model. A focus area is reducing carbon emissions by adopting renewable energy sources like solar and wind power and promoting electric vehicles. In addition, there is a shift toward pedestrian-friendly urban design, with wider sidewalks, bike lanes, and increased green spaces. Cities want ...

Vehicles generate data that can be collected and used for new services and solutions—either for internal purposes within the workings of an automaker or for third parties that require data to create innovative use cases and value propositions. The connected car is already a rich source of information, and with new model launches, increased levels ...

28 Feb 2020  |  North America  |  Market Research

Global Automotive Data Management and Cloud Platform Strategies, 2019

Prioritising Critical Datasets from Non-critical Ones Will Determine Cloud-related Partnerships for OEMs by 2025

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The aim of this research study is to give an overview of automotive cloud platforms and the key cloud applications adopted in the automotive market. The study focuses on the different cloud platform strategies adopted by original equipment manufacturers (OEMs), key business models used, key cloud vendors, and their core features. Frost & Sullivan b...

20 Nov 2024  |  Global  |  Market Research

Ecosystem Activity for Automotive Data Monetization, 2024–2030

OEMs and Solution Providers are Developing New Concepts and Approaches to Re-invent the Vehicle Data Monetization Market

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In a competitive, yet fragmented market for vehicle data, partnerships with third parties can be the difference between a successful or failed strategy for original equipment manufacturers (OEMs). Inflated expectations linked to the value of vehicle data that marked the peak hype years for data monetization are well behind the automotive industry....

30 Aug 2018  |  Asia Pacific  |  Market Research

Application of Big Data Analytics in Construction Industry, Forecast to 2022

With Big Data Coming Into Picture Construction Industry is Expected to Witnesses Transformational Growth

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Big Data solutions are emerging across the construction industry, driven by increased connectivity and Internet usage, the rapid proliferation of connected vehicles, and the continued investment in Big Data analytics innovations. However, the threat of data privacy and security continues to challenge potential adoption as businesses are still strug...

09 May 2016  |  North America  |  Market Research

Automotive Voice Recognition Market, Forecast to 2022

Voice Biometrics, Virtual Assistant and Deep Learning Emerge as Major Market Disruptors

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Voice Recognition (VR) technology is primarily focused only on infotainment use cases. However, Original Equipment manufacturers (OEMs) and Tier-I suppliers are significantly investing in biometric and machine learning technologies. Even though OEM’s are trying to adopt cloud-based and hybrid solutions, they are still dependent on embedded solution...

The research service discusses the key trends and use cases relevant to cloud computing and automotive ecosystem. It identifies the key areas that offer scope for essential technology innovation and discusses cloud-based solutions specific to the automotive industry. Cloud-based connected car solutions, which are now an integral part of the Interne...

This study provides an executive analysis of Big Data in the North American and European trucking industries. Using both primary and secondary research data, analyses and discussions cover key trends, total cost of ownership, and market opportunities by value chain participant. Big Data service revenue forecasts are provided for the period 2014202...