Executive Summary
Platform Components
Chassis Platform
Electronic Platform
Software Platform
Cloud Platform
Partnership Strategies across Platforms
Key Conclusions
Research Scope and Objectives
Research Scope
Key Questions this Study will Answer
Vehicle Segmentation
Standards for Autonomous Driving
Electric Vehicle (xEV) in Scope
Industry Overview
Shifting Landscape of the Automotive Industry
Industry Optimizations Due to Shifting Landscape
Key Challenges for OEMs with Traditional Development
Platform-based Approach Toward CASE
Vehicle and Chassis Platform
Future Autonomous Vehicle Platforms
Modular and Skateboard Platforms
Key Platforms
OEMs’ Strategy - BEVs on Skateboard Platform
Electronic Platform
Evolution of E/E Architecture
Evolution of Sensor Hardware
Role of Sensor Data Fusion by Level of Automation
EV Power Components
OEM E/E Architecture Strategies
EV Battery and Motor Strategy
Software Platform
Key In-vehicle Software Enabling AD
Software-Hardware Decoupling
AI-based Software Vs. Conventional Software
Role of Machine Learning
Implementation of Machine Learning
Autonomous Driving Software Platforms
Cloud and Edge Computing Platform
Data Storage and Computing for AVs
Edge Vs. Cloud Computing
Cloud-Edge Computation Models
Cloud Storage and Computation
OEM Cloud Strategy
CASE Convergence
CASE Convergence
Implications of CASE Convergence
Growth Opportunities and Companies to Action
Growth Opportunity - Investments and Partnerships from OEMs/TSPs
Strategic Imperatives for Success and Growth
Key Conclusions
Key Conclusions
The Last Word-3 Big Predictions
Legal Disclaimer
Market Engineering Methodology
Abbreviations and Acronyms Used
List of Exhibits