1.1 Research Scope

2.1 Artificial Intelligence (AI) Defines Vehicles of the Future

2.2 IoT Analytics Will Drive Efficiencies in the Automotive Sector

2.3 Usage-based Insurance Models Will Reward Good Driver Behavior

3.1 The Move toward Autonomy, Safety, Security, Connectivity and Personalization Drive Technology Development

4.1 Blockchain is a Cryptographic Distributed Ledger with Lower Security Risks

4.2 Security and Lowered Transaction Costs are Key Drivers to Blockchain Adoption

4.3 Lack of Technological Maturity is a Barrier to Blockchain Adoption

4.4 How do Auto Companies Use Blockchain?

4.5 Major Industry Initiatives Enable Innovative Business Models

4.6 Different Blockchain Participants Offer Differing Value Propositions

5.1 AI Mimics the Cognitive Function of the Human Mind

5.2 Machine Learning Enables Deeper Understanding of the Human Genome

5.3 Big Data, Algorithms, and GPUs Synergize to Accelerate ML Developments

5.4 Unsupervised Learning Will be Used to Detect Parts Failures

5.5 How is Machine Learning Used in Automotive?

5.6 ML Platforms Optimize Decision-making

5.7 Computer Vision can Improve Accuracy and Enable Automation

5.8 Lack of Skills and Security Concerns Hinder Adoption Growth

5.9 How is Computer Vision Transforming the Automotive Space?

5.10 Who are the Frontrunners in CV in the Automotive Space?

6.1 Dedicated Short Range Communication (DSRC) / IEEE 802.11p

6.2 C-V2X/LTE-V2X

6.3 DSRC and C-V2X – A comparison

6.4 5G Will Enable Faster, More Secure Transactions at Ultra Low Levels of Latency

6.5 Cost and Speed will Remain the Key Drivers for 5G Adoption

7.1 Advanced Data Analytics will Drive Adoption of IoT

7.2 The Evolution of Advanced Analytics

7.3 Advanced Analytics Drivers Explained

7.4 Advanced Analytics Challenges Explained

7.5 How Will Advanced Analytics Impact the Automotive Sector?

7.6 Big Data Analytics is Imperative for a Competitive Edge

8.1 Cybercrime is Considered One of the Top Risks by Enterprises Globally

8.2 Vendors are Increasingly Looking to Build Automated Machine Intelligence

8.3 How is Cybersecurity Important in the Automotive Sector?

8.4 Artificial Intelligence and Cryptography Are the Future of Cybersecurity

8.5 Developing Intelligent Security Systems

9.1 Use of Augmented Reality is Preferred in Production Environments

9.2 Content Creation is Still in Nascent Stages of Development

9.3 Major Innovations in AR are Focused on Graphical Overlays to Assist with Driving Directions

10.1 Virtual Reality will Offer Users an Engaging Immersive Experience

10.2 IoT Serves as a Catalyst Driving VR Growth

10.3 Major Innovations in VR are Centered Around Creation of Showrooms of the Future

10.4 ICT Innovations for Automotive – The Road Ahead

11.1 Use Case: Netradyne After-market Solution Democratizes Driver Safety

11.2 Use Case: Robotic Taxi Service a Reality

11.3 Use Case: Computer Vision Video Analytics in Automotive

11.4 Use Case: DSRC in V2V Communication Demonstration for Off-Road

11.5 Use Case: EyeSight’s Eye Tracking Tech in the Automotive Industry

11.6 Use Case: Truck Platooning Will Use V2V to Enable Fuel Efficiency

12.1 God’s Eye

12.2 Autonomous Drive Correction

13.1 Software Companies Will Drive Vehicle Purchase Decisions

14.1 Key Contacts

14.1 Key Contacts (continued)