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Autonomous Vehicles and Connected Cars will Bolster Cloud Adoption

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 Internet of Things, are no longer a black box offering a suite of safety and security services; they are a confluence of smartphone integration, cloud connectivity, infrastructure connectivity, and vehicle-to-vehicle connectivity, supported by a range of comfort, convenience, entertainment, vehicle ownership, and safety related services.

Key Findings
Original equipment manufacturers (OEMs) and suppliers are moving towards partnership models. Cloud-based vendors will play a crucial role in the partnership ecosystem as future use cases demand focused expertise at various levels across the industry. Automotive Cloud Computing Market: Key Findings, North America (NA) and Europe, 2015

Ecosystem Point of View (PoV)
- In 2015, OEMs, suppliers, and dealers are starting to collaborate with technology companies for faster innovation, scalability, and flexibility.
- By 2020, cloud solutions will enable ecosystem partners to directly communicate with the end customer across % of the functional areas across the value chain.

Use Case PoV
- In 2015, ERP, Office Suite, CRM, and training remain the key services enabling cloud adoption—Primarily SaaS based.
- By 2020, cloud solutions will be widely used for high performance computing (HPC), autonomous vehicles, connected cars, Big Data, predictive analytics, and so on. This indicates a move towards PaaS and IaaS.

Cloud Types
- In 2015, partners are using public and private clouds over hybrid clouds.
- By 2020, hybrid cloud will play a pivotal role as future use cases (autonomous vehicles, 3D printing, connected cars, and so on) will require the mixed benefits derived from private and public cloud environments. For
autonomous vehicles, Big Data and predictive analysis along with precise and constantly updated road data will open up new avenues of personalised services.

Table Of Contents

Cloud and the Car—Use Cases, Business Models, and Impact Analysis

Executive Summary
Key Findings
Key Cloud Application Areas in Automotive Industry—Current and 2020
Key Vendors and Services
Connected Cars and Cloud Solutions
Connected Cars—Cloud Platform
Autonomous Driving—OEM Activities and Cloud Computing
Cloud Computing—Hybrid Navigation for Autonomous Vehicles
Key Challenges Towards Cloud Adoption
OEM Savings and Benefits Through Cloud-Based Solutions
Automotive Clients and Hybrid Cloud Adoption
Executive Summary—Key Findings and Future Outlook


Research Scope, Objectives, Background, and Methodology
Research Scope
Research Aims and Objectives
Key Questions this Study will Answer
Research Background
Research Methodology


Automotive Cloud—Definition, Services Models, and Types
Cloud Types
Cloud—Definition, Delivery Models, and Service Providers
Automotive Ecosystem Challenges and Objectives
Cloud Benefits for Automotive Ecosystem
Exhibit A—OEM and IaaS Model-Engagement Snapshot


Cloud Computing and Passenger Vehicle OEMs
OEM Cloud Computing—Key Focus Areas 2010-2025
OEM and Cloud Computing Engagements
Exhibit B—Cloud-Based Service Delivery Network
Exhibit C—Cloud-Based Shared Digital Marketing Platform
Exhibit C—Cloud-Based PC Management Service for Dealerships
Exhibit D—Cloud-Based Talent Management System
Connected Cars—Cloud-Based Navigation
Cloud Computing—OEM Initiatives and Partnership for Connected Cars
Autonomous Vehicles—OEM Benefits and Annual Savings


Cloud Computing and Dealers
DMS Usage at Dealerships
Cloud-Based DMS Capabilities will Increase Adoption Rate
Benefits Across Key Functional Areas


Cloud Computing and Suppliers
Cloud-Based Solution by IBM and Continental
Exhibit E—Cloud-based PLM Solution—Tier 1 HVAC Supplier
Exhibit F—Delphi's Cloud-Based Aftermarket Telematics Product


Automotive Cloud Computing—Future Use Cases
Cloud Computing Impact Areas—Recap and Final Look
Design, Testing, and Simulation using HPC
Cloud Computing—OEM and HPC
Cloud Computing—Big Data, Predictive Analysis, and Hybrid Navigation
3D Printing/Additive Manufacturing Market Potential
Cloud Computing—3D Printing and Automotive Industry
Augmented Reality (AR)


Key Conclusions
The Last Word—3 Big Predictions
Legal Disclaimer


Table of Abbreviations and Acronyms Used

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