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市場調查報告書

自動駕駛車:用途、市場機會分析

Autonomous Vehicles - Application Landscape and Opportunity Assessment

出版商 Frost & Sullivan 商品編碼 763632
出版日期 內容資訊 英文 35 Pages
商品交期: 最快1-2個工作天內
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自動駕駛車:用途、市場機會分析 Autonomous Vehicles - Application Landscape and Opportunity Assessment
出版日期: 2018年12月26日內容資訊: 英文 35 Pages
簡介

短期中商品的投遞和城市間的班車服務將成為自動駕駛車有前途的引進領域。

本報告提供自動駕駛車的實行技術與引進方案調查,自動化等級的階段的進步狀況,相關法律與政策,自動駕駛車的主要實行技術,主要企業的技術範例,自動駕駛車的主要用途、引進領域方案分析,成長機會分析等資料彙整。

第1章 摘要整理

第2章 自動駕駛車的影響

  • 完全自動駕駛車的影響為何
  • 自動化等級的階段性進步:預測2025年將實現完全自動駕駛車
  • 政府法律規章、政策:妨礙短期性完全自動駕駛車廣泛的引進

第3章 自動駕駛車實現的主要技術區域的影響

  • 感測技術、資料隱私&安全、通訊技術:主要技術區域
  • 感測融合
  • 固態型LiDAR
  • 自動駕駛車用感測融合的主要專利
  • Bosch:ADAS系統
  • 區塊鏈為基礎的平台
  • 區塊鏈整合深度學習網路、量子密碼
  • 自動駕駛車的主要區塊鏈相關專利
  • Xain AG:資料安全
  • 作為V2v、V2I、V2N、V2P:崛起為自動駕駛車核心
  • DSRC、5G:完全自動駕駛車的安全性的技術互補

第4章 自動駕駛車的各用途方案、成長機會

  • 方案:私人汽車提供資料貨幣化的市場機會
  • 方案:高效率的自動駕駛車共乘平台的引進需要策略性聯盟
  • 方案:自動駕駛車的最後一哩輸送解決方案的開發 - 跟經銷商的策略性合作推動先導計畫
  • 方案: 機器人計程車阻礙市內運輸
  • 自動駕駛車的成長機會

第5章 聯繫資訊

目錄
Product Code: D89B

Goods Delivery and Inter-city Shuttle Services Create Opportunities for Autonomous Vehicles in the Near Term

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.

The technology and innovation 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. Some of the key questions addressed in the report are highlighted below:

  • 1) What is the impact of fully autonomous vehicles?
  • 2) What are the key drivers and challenges of autonomous vehicles?
  • 3) What are the key technologies enabling fully autonomous vehicles?
  • 4) What are the applications of autonomous vehicles in the near term?
  • 5) Which are key patent areas and companies providing technology solutions for autonomous vehicles?
  • 6) What sort of strategies OEMs need to embrace to gain competitive advantage?

Table of Contents

1.0. EXECUTIVE SUMMARY

  • 1.1. Research Scope
  • 1.2. Research Methodology
  • 1.3. Research Methodology Explained
  • 1.4. Summary of Key Findings
  • 1.4. Summary of Key Findings (continued)

2.0. 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

3.0. 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

4.0. 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

5.0. INDUSTRY CONTACTS

  • 5.1. Industry Contacts
  • Legal Disclaimer
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