Dublin, May 17, 2018 (GLOBE NEWSWIRE) -- The "ICT Technologies Transfoming the Future of Automotive Sector" report has been added to ResearchAndMarkets.com's offering.
ICT has led to transformational breakthroughs in the automotive landscape, enabling companies to gain a competitive advantage, creating new ways of generating revenue, and convergence of technologies that has disrupted the status quo. This report outlines the different types of information and communication technologies disrupting the automotive space, the factors driving their adoption, barriers to adoption, the use cases, emerging business models, and new revenue streams. This report covers disruptive Information and Communication Technologies disrupting the automotive sector, including
- Machine Learning
- Computer Vision
- Cybersecurity
- Blockchain
- Advanced Analytics
- Augmented Reality
- Virtual Reality
In brief, this research service provides the following:
- A brief overview of ICT transforming the automotive sector
- Technology overview and driver and challenges
- An overview of how each technology impacts the automotive space
- Who are the major players in each technology area?
- Relevant use cases of industry players
- Convergence Scenarios
- Emerging business models
- Key finding and analyst POV
Key Topics Covered:
1. Executive Summary 1.1 Research Scope 2. Key Findings and Analyst POV 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. Automotive Landscape and Key Technologies 3.1 The Move toward Autonomy, Safety, Security, Connectivity and Personalization Drive Technology Development 4. Blockchain 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. Artificial Intelligence (AI) 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. Advanced Wireless Communication 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. Advanced Analytics 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. Cybersecurity 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. Augmented Reality 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. Virtual Reality 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. Case Studies 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. The Synergies of Technology Convergence 12.1 God's Eye 12.2 Autonomous Drive Correction 13. Emerging Business Models 13.1 Software Companies Will Drive Vehicle Purchase Decisions 14. Key Contacts
For more information about this report visit https://www.researchandmarkets.com/research/9...ogies?w=12
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