Automotive Service Industry Outlook—Impact of Tablets, Mobile Apps, and Augmented Reality, Forecast to 2021

Automotive Service Industry Outlook—Impact of Tablets, Mobile Apps, and Augmented Reality, Forecast to 2021

Remote Diagnostics and Participatory Services to Drive Service Bay Transformation

RELEASE DATE
23-Feb-2016
REGION
Global
Research Code: NFA3-01-00-00-00
SKU: AU01012-GL-MR_16353
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Description

This research service analyzes how evolving technology and consumer behavior will change the way that vehicles are serviced in the future. With a focus on vehicle diagnostics and service delivery models, this research service explores how products and service offerings, distribution channels, and various customer groups will be affected by these trends. The research also includes a competitive benchmarking for various original equipment manufacturers, original equipment suppliers, and independent aftermarket suppliers, and it provides case studies to support the key findings. The base year is 2015.

RESEARCH: INFOGRAPHIC

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Table of Contents

Emerging Technologies in the Bay

Top Trends Expected to Impact Vehicle Service Bay of the Future

Technology in the Bay—Evolution Overview

Technology in the Bay—Future Service Delivery

New Entrants and Disruptive Models in the Service Aftermarket

Ecosystem in the Making—Technology and Vehicle Service

Key Findings and Future Outlook

Technology in the Bay—Garage of Tomorrow

Research Scope

Research Aims and Objectives

Key Questions this Study will Answer

Research Background

Research Methodology

Vehicle Service Market Influencers

Legislative Influence—Right to Repair Act

Light Vehicle Technology Trends

Connected Tools—The Next Step from Connected Platforms

Electric Vehicle—Key Impacts on Service Bay Operations

Service Bay Technology—Segmentation

Evolution in Diagnostic Test Equipment

Knowledge-based Auto Repair and Diagnostics Structure

Incremental

Ecosystem in the Making—Technology and Vehicle Service

Diagnostic Tools and Software—Delivery Models

Emerging Technologies in the Bay

Technology in the Bay—Key Enablers Analysis

Leveraging Service Shop Attributes—Dynamic Pricing Offering

Futuristic Vehicle Service Model—Remote Servicing

Future of Diagnostics—Telematics-based Real Time Diagnostic

Service Aggregators—Value Proposition

Service Aggregators Geographical Presence

Futuristic Vehicle Service Model—AR and Participatory Service

Evolutionary Vehicle Service Technology—Augmented Reality

3-D Printing and Vehicle Service

Technology in the Bay—Garage of Tomorrow

Case Study—GM’s Use of Technology in Service Strategy

Vehicle Service—Mobile/Express Service Models

Shift Mobility—Business Model Convergence Case Study

Taking the Bay to the Customer—GoTire (Mobile Service Model)

Technology in the Bay—Telepresence Bots

Smartphone-based Applications—Federal Mogul

Case Study—GM’s Prognostic/In-vehicle Sales Capabilities

Vehicle Service—Subscription Options

Technology in the Bay—Diagnostic Product Mapping

Impact of Remote Diagnostics on Service Bay Operations

Diagnostic Software Solution Provider—Business Model Comparison

Diagnostic Solution Provider—Business Model Value Analysis

Shifting from Service Model to Solutions Model

Diagnostic Software Average Subscription Cost

Diagnostic Software Subscription Revenue Forecast

Vehicle Diagnostics and Repair—Mobile Apps

Aftermarket Vehicle Diagnostics and Repair Solutions—Tablets

Vehicle Diagnostic Software

Technology in the Bay—OEM Activity Chart

Technology in the Bay—OEM Activity Chart (continued)

Current Market Outlook—Connected Cars

Current Market Outlook—Service Aggregator

Key Conclusion

3 Big Predictions

Legal Disclaimer

Industry Outlook

Total Maintenance and Repair Facilities in North America

Average Vehicle Age

Global Light Vehicles in Operation

VIO By Brand

Learn More—Next Steps

Planned Research

Market Engineering Methodology

This research service analyzes how evolving technology and consumer behavior will change the way that vehicles are serviced in the future. With a focus on vehicle diagnostics and service delivery models, this research service explores how products and service offerings, distribution channels, and various customer groups will be affected by these trends. The research also includes a competitive benchmarking for various original equipment manufacturers, original equipment suppliers, and independent aftermarket suppliers, and it provides case studies to support the key findings. The base year is 2015.
More Information
No Index No
Podcast No
Author Anuj Monga
WIP Number NFA3-01-00-00-00
Is Prebook No
GPS Codes 9800-A6,9801-A6,9AF6-A6,9B15-A6