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市場調查報告書

自動駕駛車輛 (AV)、先進駕駛輔助系統 (ADAS)

Autonomous Vehicles & ADAS

出版商 Juniper Research 商品編碼 352907
出版日期 內容資訊 英文
商品交期: 最快1-2個工作天內
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自動駕駛車輛 (AV)、先進駕駛輔助系統 (ADAS) Autonomous Vehicles & ADAS
出版日期: 2016年11月22日 內容資訊: 英文
簡介

本報告提供自動駕駛車輛 (AV)、先進駕駛輔助系統 (ADAS) 市場相關調查分析,以現在與未來發展為焦點,提供主要趨勢、競爭情形,10年預測等系統性資訊。

市場趨勢與競爭

第1章 AV、ADAS:市場簡介

第2章 AV:市場動態、情形

  • AV的法規環境分析
  • AV的優點
  • AV的使用案例
  • AV的實行技術、限制
  • AV的影響
  • AV的未來、課題

第3章 ADAS:市場動態、情形

  • ADAS的法規環境分析
  • ADAS系統概要
  • ADAS的實行技術、限制
  • ADAS維修市場
  • 半自動駕駛車輛

第4章 AV、ADAS生態系統、經營模式

  • AV生態系統
  • 新的經營模式

第5章 競爭情形:供應商分析、Juniper的排行榜

  • 供應商概要
  • 供應商分析:Juniper的排行榜
  • AV、ADAS市場Movers與Shakers
  • 業者簡介

市場規模與預測

第1章 AV、ADAS:市場簡介、摘要

  • 簡介
  • 定義及分類
  • 市場預測摘要、要點

第2章 AV、ADAS:預測手法

  • AV、ADAS:市場規模、前提條件

第3章 ADAS:預測摘要、要點

  • 簡介、推動市場要素
  • 消費者市場區隔
  • 商用市場區隔

第4章 AV:市場預測摘要、要點

  • 簡介
  • 消費者市場區隔
  • 商用市場區隔

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目錄

Overview

Juniper's ground breaking research into Autonomous Vehicles charts the anticipated opportunities in the Consumer & Commercial Driverless Cars market. It also investigates the developments that technologies such as ADAS (Advance Driverless Assistance Systems) will enable, offering valuable insights into the future market.

The research provides a comprehensive analysis of current and future developments in the market. A strategic assessment is provided of key players ranging from the traditional automotive OEMs, Tier-1 suppliers and new disruptive players.

This research includes:

  • Market Trends & Competitive Landscape (PDF)
  • 10 Year Market Sizing & Forecast (PDF & Excel)
  • Executive Summary & Core Findings (PDF)

Key Features

  • Regulatory Environment Analysis: In-depth examination of the emerging legislations and regulatory environment across core markets and geographical regions.
  • Trends Assessment: Strategic evaluation of the key market trends, including the disruption by technology players such as Apple, Baidu and Google.
  • Technology & Impact Appraisal: In addition to the benefits and use cases of AVs, it investigates key technological advances and critical challenges hindering market adoption.
  • Segment Analysis: Market segment analysis and forecast breakdown for Level 1, Level 2/3, & Level 4 classifications, split by:
    • Consumer Vehicles
    • Commercial Vehicles
  • Interviews with leading players across the automotive value chain, including:
    • Velodyne
    • SoftKinetic
    • Cohda Wireless
    • Quanergy
    • QNX Systems
    • Continental
    • Elektobit
    • HERE
    • NCAP
  • Juniper Leaderboard: Key player capability and capacity assessment, together with our Leaderboard positioning matrix.
  • Benchmark industry forecasts: Provided for the size and growth of AV & ADAS market, including adoption and revenues.

Key Questions

  • 1. What are the challenges which may inhibit the development of the autonomous vehicles market?
  • 2. What are the new business models and how are stakeholders planning to monetise the self-driving car industry?
  • 3. What is the current state of the market and how will it evolve over the next 10 years?
  • 4. What is the future evolution model for critical autonomous vehicle technologies?
  • 5. What is the projected market demand for ADAS-Enabled Vehicles?

Companies Referenced

  • Interviewed: Cohda Wireless, Continental, Elektrobit, Euro NCAP, HERE, QNX Systems, Quanergy, SoftKinetic, Velodyne.
  • Profiled: Audi, Autoliv, BMW, Bosch, Continental, Delphi, Denso, GM (General Motors), Mercedes-Benz, Toyota, Volvo, ZF Friedrichshafen.
  • Case Studied: car2go, Cohda Wireless, Elektrobit, Euro NCAP, GM (General Motors), SoftKinetic, Velodyne.

Mentioned:

Adasens Automotive, Advanced Scientific Concepts, Aisin, Akamai Technologies, Ambarella, Apple, Argus, Arilou Technologies, ARRB Group, ASL Vision, Autotalks, Avis, Baidu, BYD, C2C-CC, ChargeNow, Chariot, Cisco Systems, Citroen, Cruise Automation, DAF Trucks, Daimler, Deutsche Telekom, Didi, Drive Now, DS, easyCar Club, ESCRYPT, Fiat, Fiat Chrysler America, Ficosa International Group, Flextronic, FLIR Systems, Ford, Freescale, Geely Holdings, Get Around US, Gett, GoGet, Google, Halla DAS Lab Europe GmbH, Harman International, HDLE, Hellerman Tyton, Hongqi, IAV, Ibeo, IBM, IIHS (Insurance Institute for Highway Safety), Infinity, Intel, Leddaetech, Lemoptix, LeTV, Liberty Mutual, Luxoft, Lyft, M/A-COM Technology Solutions Holdings, Mapscape, Maven, Microsoft, Mitsubishi, Mobileye, National Agency for Automotive Safety & Victim's Aid, NHTSA (National Highway Traffic Safety Administration), Nissan, Nokia, nuTonomy, NVIDIA, NXP, Ottomatika, Paccar, ParkMobile, ParkNow, Peugeot, Porsche, PSA, Qualcomm, Reach Now, Red Bend, Red Swoosh, Renault, Renault, Renesas, Robert Bosch Stiftung, Robot Taxi, SAE (Society of Automotive Engineers), Safran, Scania, Scoop Technologies, Security Innovation, Seeing Machines, Sidecar, Silvercar, SpaceX, Telstra, Tesla, Tobii, TomTom, TowerSec, TriLumina, TRW Automotive, Turo, Tyco Electronics, Uber, ublox, Ultimaco, Valeo, Valmet Automotive, Visa, Volkswagen, Wabco, WEpod, World Health Organization, Zeppelin Foundation, Zimride, ZipCar, Zirx.

Data & Interactive Forecast

The new Autonomous Vehicles & ADAS forecast suite includes:

  • Country level data splits for 8 key regions and country forecasts for:
    • Brazil
    • Canada
    • China
    • France
    • Germany
    • Mexico
    • UK
    • US

Table of Contents

Market Trends & Competitive Landscape

1. AV&ADAS: Market Introduction

  • 1.1. Introduction
    • 1.1.1. Research Scope & Focus
  • 1.2. Definition & Classification
    • 1.2.1. AV Classification
      • Table 1.1: Autonomous Vehicle Classifications According to the NHTSA & SAE
    • 1.2.2. Types of Autonomous Vehicles
  • 1.3. Key Market Trends Driving the AV Market
  • 1.4. AV Market Activities by Region
    • 1.4.1. North America
    • 1.4.2. Western Europe
    • 1.4.3. Asia-Pacific
      • Figure 1.2: First Driverless Taxi Service Launched By nuTonomyin Singapore

2. Autonomous Vehicles: Market Dynamics & Status

  • 2.1. AV Regulatory Environment Analysis
    • 2.1.1. US
      • Figure 2.1: Google Car
    • 2.1.2. Europe
      • Figure 2.2: The Lutz Pathfinder Pod being Tested in Milton Keynes, UK
    • 2.1.3. Asia
  • 2.2. Benefits of AVs
    • Figure 2.3: Mercedes-Benz F 015 AV Concept Car
  • 2.3. AV Use Cases
    • 2.3.1. Car Sharing & Commuters
    • 2.3.2. Public & Private Transport
      • Figure 2.4: Future Bus-A Driverless Bus Developed by Daimler
    • 2.3.3. Delivery fleets
    • 2.3.4. Road Trains or Platoons
      • Figure 2.5: Two Volvo Trucks Operated in ‘Platoon' Mode Travelling from Sweden to Rotterdam
    • 2.3.5. Automated Parking
  • 2.4. AV Enabling Technologies & Limitations
    • 2.4.1. ADAS-type Sensors
      • i. Case Study: Velodyne LiDAR
        • Figure 2.6: Uber's Volvo XC-90 AV Test Car with a Velodyne's 3D LiDAR on the Roof
      • ii. Case Study: SoftKinetic
    • 2.4.2. Digital Maps
      • i. Digital Mapping
      • ii. Open Mapping Platform
    • 2.4.3. 2X Sensors
      • i. Case Study: Cohda Wireless
    • 2.4.4. Cellular Communications
    • 2.4.5. Wi-Fi Direct
    • 2.4.6. Computing Platform
    • 2.4.7. Software Algorithms
    • 2.4.8. Required Technologies
    • 2.4.9. Challenges & Limitations
      • i. Case Study: Elektrobit
  • 2.5. Implications of Autonomous Vehicles: Value Chain Impact Analysis
    • 2.5.1. Introduction
    • 2.5.2. Car Servicing
    • 2.5.3. Insurance
    • 2.5.4. Reshaping Supply Chains
    • 2.5.5. City Planning
  • 2.6. AV Future & Challenges: Roadmap to Fully Autonomous Vehicles
    • 2.6.1. Juniper Roadmap
      • Figure 2.7: Juniper Roadmap for Fully Autonomous Vehicles
    • 2.6.2. Key Issues & Challenges

3. ADAS: Market Dynamics & Status

  • 3.1. ADAS Regulatory Environment Analysis
    • 3.1.1. Europe
      • Table 3.1: Evolution of Euro NCAP Safety Assist Points 2012-17
      • Table 3.2: Euro NCAP ADAS Phase-in Fitment Requirements 2012-17
      • Table 3.3: Summary of Euro NCAP AEB Tests
      • Figure 3.4: Euro NCAP AEB Inter-Urban Testing
      • i. Case Study: Dual Rating System
    • 3.1.2. US
    • 3.1.3. Asia
    • 3.1.4. Commercial Vehicles & Regulation
  • 3.2. Overview of ADAS Systems
    • 3.2.1. FCA (Front Collision Avoidance)
    • 3.2.2. LDWILKAIBSD (Lane Departure Warning/Lane Keep Assist/Blind Spot Detection)
    • 3.2.3. DMS (Driver Monitoring Systems)
      • Figure 3.5: Harman Eye Tracking Driver Monitoring System
    • 3.2.4. Park Assist Systems
    • 3.2.5. Night Vision Systems
      • Figure 3.6: BMW Night Vision System with Dynamic Light Warns of Pedestrians Ahead
  • 3.3. ADAS Enabling Technologies & Limitations
    • 3.3.1. Radar Sensors
    • 3.3.2. Camera Sensors
    • 3.3.3. LiDAR Sensors
    • 3.3.4. ToF (Time-of-Flight) Depth Sensors
    • 3.3.5. Ultrasonic Sensors
    • 3.3.6. Electronic Braking, Throttle and Steering
    • 3.3.7. Challenges & Limitations
  • 3.4. ADAS Aftermarket
  • 3.5. Semi-Autonomous Vehicles
    • Figure 3.7: GM Cadillac CTS Model Year 2017 Flagship Sedan with Super Cruise Highway Pilot & V2V technology

4. AV & ADAS Ecosystem & Business Models

  • 4.1. The AV Ecosystem
    • 4.1.1. Automotive 0EMs
      • Figure 4.1: Investment & Partnerships by OEMs in AV
    • 4.1.2. Tier 1 Suppliers
      • Figure 4.2: Continental's AV Test Vehicle Driving on Public Roads in Japan
      • Figure 4.3: Acquisitions by Tier 1 Suppliers
    • 4.1.3. Big Tech Companies
    • 4.1.4. Sub-systems/Component Suppliers
      • Figure 4.4: Key Vendors Supplying AV & ADAS Technology
  • 4.2. New Business Models
    • 4.2.1. Mobility Services Providers
      • Figure 4.5: OEMs & Tech Companies Involved in Mobility Services
      • Figure 4.6: Investments in Mobility Services by OEM & Big Tech Companies
      • i. Case Study: Car2Go
        • Figure 4.7: Mobility Service Provider car2Go
      • ii. Case Study: GM -A Disruptor OEM?
    • 4.2.2. Digital Services Providers
      • Figure 4.8: Consumer Revenues from All In-Vehicle Applications
    • 4.2.3. AV Technology Enablers
      • Figure 4.9: HERE Vision for Automotive
    • 4.2.4. Data Aggregators

5. Competitive Landscape: Vendor Analysis & Juniper Leaderboard

  • 5.1. Overview of Profiled Vendors
    • 5.1.1. OEMs
    • 5.1.2. Tier 1s
  • 5.2. Vendor Analysis: Juniper Leaderboard
    • 5.2.1. Vendor Assessment Methodology
      • Table 5.1: Juniper Leaderboard Vendor Positioning Criteria
    • 5.2.2. Limitations & Interpretation
    • 5.2.3. Vendor Analysis: Capability Assessment & Market Positioning
      • Table 5.2: Juniper Leaderboard Scoring Matrix Heatmap
      • Figure 5.3: Juniper Leaderboard for AV & ADAS Market
    • 5.2.4. Vendor Groupings
      • i. Established Leaders
      • ii. Leading Challengers
  • 5.3. AV & ADAS Market Movers & Shakers
  • 5.4. Vendor Profiles
    • 5.4.1. Audi
      • i. Corporate
        • Figure 5.4: Audi AG Production & Revenues Data, 2013-2015
      • ii. Geographic Spread
      • iii. Key Clients, Acquisitions & Strategic Partnerships
      • iv. High Level View of ADAS 0rferings & AV Activities
      • v. Juniper's View: Key Strengths & Strategic Development Opportunities
    • 5.4.2. BMW
      • i. Corporate
        • Figure 5.5: BMW Production & Revenues Data (2013-2015)
      • ii. Geographic Spread
      • iii. Key Clients, Acquisitions & Strategic Partnerships
      • iv. High Level View of ADAS Offerings & AV Activities
      • v. Juniper's View: Key Strengths & Strategic Development Opportunities
    • 5.4.3. Mercedes-Benz
      • i. Corporate
        • Figure 5.6: Mercedes-Benz Cars Production& Revenues Data (2013-201
      • ii. Geographic Spread
      • iii. Key Clients, Acquisitions & Strategic Partnerships
      • iv. High Level View of ADAS Offerings & AV Activities
      • v. Juniper's View: Key Strengths & Strategic Development Opportunities
    • 5.4.4. GM (General Motors)
      • i. Corporate
        • Figure 5.7: GM Production & Revenues Data (2013-2015)
      • ii. Geographic Spread
      • iii. Key Clients, Acquisitions & Strategic Partnerships
      • iv. High Level View of ADAS Offerings & AV Activities
      • v. Juniper's View: Key Strengths & Strategic Development Opportunities
    • 5.4.5. Toyota
      • i. Corporate
        • Figure 5.8: Toyota Production & Revenues Data (2013-2015)
      • ii. Geographic Spread
      • iii. Key Clients, Acquisitions & Strategic Partnerships
      • iv. High Level View of ADAS Offerings & AV Activities
      • v. Juniper's View: Key Strengths & Strategic Development Opportunities
    • 5.4.6. Volvo Cars
      • i. Corporate
        • Figure 5.9: Volvo Cars Production & Revenues Data (2013-2015)
      • ii. Geographic Spread
      • iii. Key Clients, Acquisitions & Strategic Partnerships
      • iv. High Level View of ADAS Offerings & AV Activities
      • v. Juniper's View: Key Strengths & Strategic Development Opportunities
    • 5.4.7. Autoliv
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients, Acquisitions & Strategic Partnerships
      • iv. High Level View of ADAS Offerings & AV Activities
      • v. Juniper's View: Key Strengths & Strategic Development Opportunities
    • 5.4.8. Robert Bosch GmbH
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients, Acquisitions & Strategic Partnerships
      • iv. High Level View of ADAS Offerings & AV Activities
      • v. Juniper's View: Key Strengths & Strategic Development Opportunities
    • 5.4.9. Continental
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients, Acquisitions & Strategic Partnerships
      • iv. High Level View of ADAS Offerings & AV Activities
      • v. Juniper's View: Key Strengths & Strategic Development Opportunities
    • 5.4.10. Denso
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients, Acquisitions & Strategic Partnerships
      • iv. High Level View of ADAS Offerings & AV Activities
      • v. Juniper's View: Key Strengths & Strategic Development Opportunities
    • 5.4.11. Delphi Automotive
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients, Acquisitions & Strategic Partnerships
      • iv. High Level View of ADAS Offerings & AV Activities
      • v. Juniper's View: Key Strengths & Strategic Development Opportunities
    • 5.4.12. ZF Friedrichshafen
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients, Acquisitions & Strategic Partnerships
      • iv. High Level View of ADAS Offerings & AV Activities
      • v. Juniper's View: Key Strengths & Strategic Development Opportunities

Market Sizing & Forecasts

1. AV & ADAS: Market Introduction & Summary

  • 1.1. Introduction
  • 1.2. Definition & Classification
    • 1.2.1. AV Classification
      • Figure 1.1:Autonomous Vehicle Classifications According to the NHTSA & SAE
    • 1.2.2. Types of Autonomous Vehicles
  • 1.3. Market Forecast Summary & Key Takeaways
    • 1.3.1. Introduction
    • 1.3.2. AV & ADAS Market Summary (L1, L2/L3, L4)
      • Figure & Table 1.2: Total Number of New L1, L2/L3, & L4 Autonomous & ADAS Vehicles (m) Split by 8 Key Regions 2020-2025
      • Figure & Table 1.3: Total Revenues from New L1, L2/L3, & L4 Autonomous & ADAS Installed Vehicles ($m) Split by 8 Key Regions 2020-2025
    • 1.3.3. AV & ADAS Consumer Vehicles Market - L1, L2/L3, L4
      • Figure & Table 1.4: Number of New Consumer Autonomous & ADAS Vehicles L1, L2/L3, L4 (m) Split by 8 Key Regions 2020-2025
      • Figure & Table 1.5: Revenues from Consumer Autonomous & ADAS Vehicles L1, L2/L3, L4 ($m) Split by 8 Key Regions 2020-2025
    • 1.3.4. AV & ADAS Commercial Vehicles Market - L1, L2/L3, L4
      • Figure & Table 1.6: Number of New Consumer Autonomous & ADAS Vehicles L1, L2/L3, L4 (m), Split by 8 Key Regions 2020-2025
      • Figure & Table 1.7: Revenues from New Commercial Autonomous &ADAS Vehicles L1, L2/L3, L4 ($m) Split by 8 Key Regions 2020-2025

2. AV & ADAS: Forecast Methodology

  • 2.1. AV & ADAS: Market Sizing & Assumptions
    • 2.1.1. ADAS Forecast Methodology & Assumptions
      • Figure 2.1:ADAS Market Forecast Methodology
    • 2.1.2. AV Forecast Methodology
      • Figure 2.2: AV - Level 2/3 & 4 Market Forecast Methodology
    • 2.1.3. ASP Assumptions
    • 2.1.4. Aftermarket ADAS

3. ADAS: Market Forecast Summary & Key Takeaways

  • 3.1. Introduction & Market Drivers
    • Figure 3.1:Continental Corporation's Multi-Function Camera with LiDAR
    • Figure 3.2: Delphi-s Integrated Radar & Camera System
  • 3.2. Consumer Segment
    • 3.2.1. Consumer ADAS Vehicles - L1
      • Figure & Table 3.3: Number of New L1 Consumer Vehicles with ADAS Installed Per Annum (m) Split by 8 Key Regions 2020-2025
    • 3.2.2. Consumer ADAS Vehicle Revenue - L1
      • Figure & Table 3.4: Revenues from New L1 Consumer Vehicles with ADAS Installed Per Annum ($m) Split by 8 Key Regions 2020-2025
    • 3.2.3. Regional Analysis & Outlook
      • i. West Europe
      • ii. North America
      • iii. Rest of Asia Pacific/Far East & China
  • 3.3. Commercial Segment
    • 3.3.1. Commercial ADAS Vehicles - L1
      • Figure & Table 3.5: Number of New L1 Commercial Vehicles with ADAS Installed Per Annum (m) Split by 8 Key Regions 2020-2025
    • 3.3.2. Commercial Vehicle ADAS Revenue - L1
      • Figure & Table 3.6: Revenues from New L1 Commercial Vehicles with ADAS Installed Per Annum ($m) Split by 8 Key Regions 2020-2025

4. AV: Market Forecast Summary & Key Takeaways

  • 4.1. Introduction
    • 4.1.1. Sensor Selection
    • 4.1.2. Trials & Tests of Consumer AVs
      • i. North America
      • ii. West Europe
      • iii. Rest of Asia Pacific/Far East & China
    • 4.1.3. Trials & Tests of Commercial AVs
  • 4.2. Consumer Segment
    • 4.2.1. Consumer Autonomous Vehicles - L2/L3
      • Figure & Table 4.1: Number of New Consumer Autonomous Vehicles L2/L3 Per Annum (m) Split by 8 Key Regions 2020-2025
    • 4.2.2. Consumer Autonomous Vehicles Revenue - L2/L3
      • Figure & Table 4.2: Consumer Autonomous Vehicles L2/L3 Revenue Growth Per Annum ($m) Split by 8 Key Regions 2020-2025
    • 4.2.3. Consumer Autonomous Vehicles - L4
      • Figure & Table 4.3: Number of New Consumer Autonomous Vehicles L4 Per Annum (m) Split by 8 Key Regions 2020-2025
    • 4.2.4. Consumer Autonomous Vehicles Revenue - L4
      • Figure & Table 4.4: Consumer Autonomous Vehicles L4 Revenue Growth Per Annum ($m) Split by 8 Key Regions 2020-2025
  • 4.3. Commercial Segment
    • 4.3.1. Commercial Autonomous Vehicles - L2/L3/L4
      • Figure & Table 4.5: Number of New Commercial Autonomous Vehicles L2/L3/L4 Per Annum (m) Split by 8 Key Regions 2020-2025
    • 4.3.2. Commercial Autonomous Vehicles Revenue - L2/L3/L4
      • Figure & Table 4.6: Commercial Autonomous Vehicles L2/L3/L4 Revenue Growth Per Annum ($m) Split by 8 Key Regions 2020-2025
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