In-vehicle Edge Tech and 5G to Make MEC the Prime Processing Hub

In-vehicle Edge Tech and 5G to Make MEC the Prime Processing Hub

Future Growth Potential of MEC in Automotive Applications

RELEASE DATE
28-May-2021
REGION
Global
Research Code: K4D7-01-00-00-00
SKU: AU02166-GL-MT_25467

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Description

Multi-access Edge Computing (MEC) in automotive is in its early stage and this report is considered to be an overview of the automotive edge computing market. This study defines Multi-Access Edge Computing for the automotive industry and covers how automotive stakeholders should anticipate new applications on both existing and future business models.

Who, What, Why, When, How, How much?
The analysis identifies automotive edge computing solutions. OEMs, network providers, cloud providers, software companies, hardware companies, and other enablers are listed in detail, according to their part in the ecosystem. All automotive edge computing applications are grouped according to C.A.S.E (Connected, Autonomous, Shared, and Electric) mobility functions.

Benefits and processes of edge computing in automotive are also covered in this research. OEM perspectives are discussed with examples and investigation of partnerships and natures of the partnerships with edge computing participants, followed by trends in the automotive edge computing industry. MEC companies that are either specifically working on automotive applications or also working in other industries are identified separately. Investments in recent years, business models that are emerging, and growth opportunities are also discussed. The development of different types of edge, such as industrial edge, smart city edge, IoT edge, are categorized as early adopters and expected to be followed by in-vehicle edge. Driving forces such as 4G/5G and increasing autonomous features in cars and their challenges in implementation, security in data exchange in distributed network are also analyzed in this research service.

Author: Melek Ozturk

RESEARCH: INFOGRAPHIC

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Table of Contents

Why is it Increasingly Difficult to Grow?

The Strategic Imperative 8™

The Impact of Top 3 Strategic Imperatives on Multi-access Edge Computing in the Automotive Industry

Growth Opportunities Fuel the Growth Pipeline Engine™

Scope of Analysis

Multi-access Edge Computing (MEC) Segmentation

MEC in Automotive Industry Definition

Automotive MEC Introduction

Automotive Edge Computing Stakeholders

Key Competitors in Automotive Edge Computing Market

MEC Mobility Applications

Benefits of Edge Computing in Mobility

Automotive Edge Development Timeline

Automotive Edge Operations

Automotive Edge Operations (continued)

Automotive Edge Operations (continued)

MEC Data Selection

Impact of Automotive MEC

Key Applications of Automotive Edge

MEC C.A.S.E. and Non-C.A.S.E. Application List

Connected (C.A.S.E.) Edge Applications

Connected (C.A.S.E.) Edge Applications (continued)

Connected (C.A.S.E.) Edge Application Examples

Connected (C.A.S.E.) Edge Application Examples (continued)

Autonomous (C.A.S.E.) Edge Applications

Autonomous (C.A.S.E.) Edge Application Examples

Shared (C.A.S.E.) Edge Applications

Shared (C.A.S.E.) Edge Application Examples

Electrification (C.A.S.E.) Edge Applications

Non-C.A.S.E. Automotive Edge Applications

Trends

OEM Edge Computing Strategies Analysis

OEM Edge Computing Partners and Areas of Use

Automotive Edge Software Companies

Investments

Business Models

MEC Functions to Be Offered

Growth Opportunity 1: Geolocal Edge Nodes for Specific Mobility Applications, 2020

Growth Opportunity 1: Geolocal Edge Nodes for Specific Mobility Applications, 2020 (continued)

Growth Opportunity 2: Semiautonomous Functions, 2020

Growth Opportunity 2: Semiautonomous Functions, 2020 (continued)

Growth Opportunity 3: Roadside-MEC-supported Consumer Experience, 2020

Growth Opportunity 3: Roadside-MEC-supported Consumer Experience, 2020 (continued)

List of Exhibits

Legal Disclaimer

Acronyms

Related Research
Multi-access Edge Computing (MEC) in automotive is in its early stage and this report is considered to be an overview of the automotive edge computing market. This study defines Multi-Access Edge Computing for the automotive industry and covers how automotive stakeholders should anticipate new applications on both existing and future business models. Who, What, Why, When, How, How much? The analysis identifies automotive edge computing solutions. OEMs, network providers, cloud providers, software companies, hardware companies, and other enablers are listed in detail, according to their part in the ecosystem. All automotive edge computing applications are grouped according to C.A.S.E (Connected, Autonomous, Shared, and Electric) mobility functions. Benefits and processes of edge computing in automotive are also covered in this research. OEM perspectives are discussed with examples and investigation of partnerships and natures of the partnerships with edge computing participants, followed by trends in the automotive edge computing industry. MEC companies that are either specifically working on automotive applications or also working in other industries are identified separately. Investments in recent years, business models that are emerging, and growth opportunities are also discussed. The development of different types of edge, such as industrial edge, smart city edge, IoT edge, are categorized as early adopters and expected to be followed by in-vehicle edge. Driving forces such as 4G/5G and increasing autonomous features in cars and their challenges in implementation, security in data exchange in distributed network are also analyzed in this research service. Author: Melek Ozturk
More Information
No Index No
Podcast No
Author Melek Ozturk
Industries Automotive
WIP Number K4D7-01-00-00-00
Is Prebook No
GPS Codes 9800-A6,9AF7-A6,9A70-A6,9B13-A6