Autonomous Vehicles - Global Application Landscape & Opportunity Assessment 2018/19 - ResearchAndMarkets.com

January 7, 2019

DUBLIN--(BUSINESS WIRE)--Jan 7, 2019--The “Autonomous Vehicles - Application Landscape and Opportunity Assessment” report has been added to ResearchAndMarkets.com’s offering.

With the global focus on optimizing commuters’ safety, there is high demand for technologies providing 360-degree view of surrounding vehicles to reduce accidents.

An autonomous vehicle is poised to witness adoption of breakthrough sensing solutions such as solid-state LiDARs for depth sensing and Blockchain for data security. Autonomous vehicles can disrupt existing ownership and business model for OEMs as well as other stakeholders.

Developments in sensing technologies such as solid-state LiDARs and sensor fusion are a major driver for advancing autonomous driving. Legal concerns and data security issues are hindering wide-scale adoption of autonomous vehicles. Governments globally are focused on developing robust frameworks for autonomous vehicles.

This report highlights some of the key emerging application scenarios of autonomous vehicles in the near term. This report discusses various enabling technologies and application scenarios of fully-autonomous vehicles.

Topics Covered

1 Executive Summary

2 Impact of Autonomous Vehicles

2.1 What is the Impact of Fully Autonomous Vehicles?

2.2 Gradual Advancements in Levels of Automation Will Enable Fully Autonomous Vehicles by 2025

2.3 Government Regulations and Policies Hinder Wide-Scale Adoption of Fully Autonomous Vehicles in the Near Term

3 Impact of Key Technology Areas Enabling Autonomous Vehicles

3.1 Sensing Technologies, Data Privacy & Security, and Communication Technologies are Major Area of Interest for Rapid Adoption of Autonomous Vehicles

3.2 Sensor Fusion - A Key Technology to Synthesize Sensing Data from Multiple Sensors

3.3 Solid-State LiDARs to Overcome Packaging and Cost Constraints of Conventional LiDARs in the Long Term

3.4 Key Sensor Fusion Patents for Autonomous Vehicles

3.5 Company to Action - ADAS Systems - Bosch

3.6 Blockchain-based Platforms to Play a Crucial Role in Safeguarding Data Across Autonomous Vehicle Ecosystem

3.7 Deep Learning Networks and Quantum Cryptography Integrated with Blockchain to Enhance Security of Autonomous Vehicles

3.8 Key Blockchain-Oriented Patents for Autonomous Vehicles

3.9 Company to Action - Data Security - Xain AG

3.10 V2V, V2I, V2N, and V2P Applications Emerging as Core Focus Areas for Autonomous Vehicles

3.11 DSRC and 5G Poised to Emerge as Complimentary Technologies Enhancing Safety of Fully Autonomous Vehicles

4 Application Scenarios for Autonomous Vehicles and Growth Opportunities

4.1 Emerging Business Scenarios of Self-Driven Vehicles Poised to Disrupt Conventional Applications of Automotive Segment by 2025

4.2 Scenario 1: House-held Vehicles to Provide Data-Monetizing Opportunities

4.3 Scenario 2: Strategic Partnerships Essential to Deploy Efficient Ride-Sharing Platforms for Autonomous Vehicles

4.4 Scenario 3: Strategic Collaborations with Goods Merchants to Drive Pilot Projects for Developing Last-Mile Delivery Solutions Using Autonomous Vehicles

4.5 Scenario 4: Robo-cabs to Disrupt Inside-City Transportation in the Near Term

4.6 Growth Opportunities for Autonomous Vehicles

5 Industry Contacts

For more information about this report visit https://www.researchandmarkets.com/research/z2lpwm/autonomous?w=4

View source version on businesswire.com:https://www.businesswire.com/news/home/20190107005835/en/

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PUB: 01/07/2019 11:56 AM/DISC: 01/07/2019 11:56 AM


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