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변형 커넥티드카 서비스 : 데이터 크라우드소싱에 구축

Transformative Connected Car Services Built on Data Crowdsourcing

리서치사 ABI Research
발행일 2018년 05월 상품 코드 637889
페이지 정보 영문 27 Pages, 7 Tables, 4 Charts, 4 figures
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변형 커넥티드카 서비스 : 데이터 크라우드소싱에 구축 Transformative Connected Car Services Built on Data Crowdsourcing
발행일 : 2018년 05월 페이지 정보 : 영문 27 Pages, 7 Tables, 4 Charts, 4 figures

커넥티드카 서비스(Connected Car)의 최신 동향에 대해 조사 분석했으며, 센서 데이터의 크라우드소싱 패러다임, 센서 데이터의 페이로드에 구축하는 참신한 서비스와 용도 등에 대해 정리하여 전해드립니다.

제1장 주요 요약

제2장 서론

제3장 크라우드소싱 개요

제4장 주요 기술과 핵심 역량

  • 차량 센서 데이터 접근
  • OTA 업데이트
  • 엣지 프로세싱 및 데이터 분석을 위한 AI
  • 로케이션 인텔리전스

제5장 주요 용도

  • 사용자 지도
  • 고장 예측 및 예방보전
  • 딥러닝/트레이닝
  • 날씨
  • 주차
  • 교통량
  • 자동차 이외, 모빌리티 이외

제6장 메가트렌드 강화

  • 첨단 운전자 지원 시스템(ADAS)과 자율주행
  • 커넥티드 인포테인먼트
  • SENSORIS

제7장 시장 예측

  • 커넥티드카에 공헌
  • 매출 기회
  • 간접적인 수익화 기회

게재 기업

  • Mobileye
  • TomTom
  • BMW Group
  • NVIDIA
  • Bosch
LSH 18.05.28

The role of connectivity in the car is reaching an inflection point. In the past, connected car applications were confined to telematics and infotainment functions, keeping the driver safe, secure, informed, and entertained with services that were largely superficial, or which were intended to emulate typical digital experiences (from smartphones in particular) in a way that was safe on the move. In the future smart mobility context, connectivity will play a mission-critical role; enabling driverless operation, fleet management, and remote diagnostics/predictive maintenance.

A key intermediate step is the sensor data crowdsourcing paradigm, leveraging the experience of connected cars on the road to deliver new and improved services that will finally start to "move the needle" in terms of the personal mobility experience. This involves the aggregation, cleansing, normalization, and enrichment of datasets generated by sensors embedded in connected cars deployed on the road; leveraging the experience of the "crowd" to improve legacy services and enable new services related to autonomous driving and smart mobility.

This report will examine the supporting technologies and market dynamics which will drive the sensor data crowdsourcing paradigm as well as the transformative services and applications built on these sensor data payloads. Strategic recommendations are given for OEMs and other data producers, application developers/service providers and sensor ingestion platforms/data marketplaces.

Table of Contents

1. EXECUTIVE SUMMARY

  • 1.1. Strategic Recommendations

2. REPORT INTRODUCTION

3. CROWDSOURCING OVERVIEW

4. KEY TECHNOLOGIES AND COMPETENCIES

  • 4.1. Access to Vehicle Sensor Data
  • 4.2. OTA Updating
  • 4.3. AI for Edge Processing and Data Analytics
  • 4.4. Location Intelligence

5. KEY APPLICATIONS

  • 5.1. User-Generated Mapping
  • 5.2. Prognositcs and Preventative Maintenance
  • 5.3. Deep Learning/Training
  • 5.4. Weather
  • 5.5. Parking
  • 5.6. Traffic
  • 5.7. Non-Automotive and Non-Mobility Applications

6. REINFORCING MEGATRENDS

  • 6.1. ADAS and Autonomous Driving
  • 6.2. Connected Infotainment
  • 6.3. SENSORIS

7. MARKET EXPECTATION

  • 7.1. Contributing Connected Vehicles
  • 7.2. Revenue Opportunity
  • 7.3. Indirect Monetizaion Opportunity

Companies Mentioned

  • Mobileye
  • TomTom
  • BMW Group
  • NVIDIA
  • Bosch
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