Search results for: 'cloud d7a9 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...

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...

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...

Video telematics solutions are poised to become the norm amongst enterprise fleets in the initial phase, owing to reduced vehicle claims, efficient driver exoneration, and higher realized return on investment. Medium and heavy-duty commercial vehicles for long-haul vehicle operations are primarily poised to be early adopters of video telematics, gi...

This Frost & Sullivan research service examines the role artificial intelligence (AI) will play in the transformation of the automotive space. AI is a key disruptive technology, wherein automakers are evolving into technology firms and expanding their service offerings beyond manufacturing vehicles. Technology implementation has increased, and the ...

As wearables technology becomes more ubiquitous, it allows for new avenues of consumer interaction and data collection. As the world becomes increasingly connected, consumers will demand that their vehicles be connected with their wearables technology, which will open up various opportunities for automotive-related applications that will be enabled...

Technological changes have led to the convergence of industries and the transformation of the business processes related to supply chain management. The need to improve logistics efficiency is being driven by the modernization of transportation infrastructure, changing consumer purchase patterns, and the emergence of new business models. With the d...

Alibaba is leading a new wave in the automotive market in China. It is enhancing its supply chain to a higher and concentrated vertical level, by interconnecting leading automotive original equipment manufacturers (OEMs), small and medium enterprises (SMEs), distributors, retailers, and consumers from offline presence to online involvement. More t...