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市場調查報告書
商品編碼
990206

智慧型駕駛者系統:策略性建議與市場預測:2021年∼2025年

Intelligent Driver Systems: Strategic Recommendations & Market Forecasts 2021-2025

出版日期: | 出版商: Juniper Research Ltd | 英文 | 商品交期: 最快1-2個工作天內

價格
  • 全貌
  • 簡介
  • 目錄
簡介

本報告提供含駕駛座服務,先進駕駛輔助服務,對語音助手的車輛的直接整合,汽車服務市場上技術企業的機會的評估為焦點,也包含主要服務分析之系統性資訊。

包含以下內容。

  • 市場趨勢、機會 (PDF)
  • 5年的資料、預測 (PDF)
  • 線上資料平台的利用 (12個月)

目錄

第1章 智慧型駕駛者系統:未來市場預測

  • 智慧型駕駛者系統的簡介
  • 汽車技術生態系統概要
  • 即服務行動 vs. 汽車擁有
  • 技術服務供應商的目前地位
  • ADAS (先進駕駛輔助系統)
  • 自動駕駛車
  • 語音助手
  • 車上用軟體
  • 汽車應用程式
  • 運算需求雲端轉移

第2章 智慧型駕駛者系統:未來的經營模式

  • 技術企業的機會
  • 階段性演進模式
  • 技術企業用的策略性建議

第3章 智慧型駕駛者系統:競爭情形

  • 市場概要
  • 供應商評分分析
  • 限制與解釋
  • 企業簡介
    • Apple
    • Bosch
    • Cisco
    • Continental
    • Ericsson
    • Google
    • HARMAN
    • Huawei
    • IBM
    • Intel
    • Microsoft
    • Nokia
    • Oracle
    • Qualcomm
    • Tata Communications

第4章 智慧型駕駛者系統:市場預測和要點

  • 智慧型駕駛者系統的簡介
  • 智慧型駕駛者市場摘要
  • 汽車應用
  • 自動駕駛車
  • 汽車語音助手
目錄

Juniper Research's “Intelligent Driver Systems” research provides a comprehensive evaluation of the opportunities for technology players in the in-vehicle services market, including cockpit services, advanced driver assistance services and the direct integration of voice assistants into vehicles. The report also provides a thorough analysis of leading intelligent driver systems services in the Juniper Research Leaderboard.

This research suite includes:

  • Market Trends & Opportunities (PDF)
  • 5-year Deep Dive Data & Forecasting (PDF)
  • 12 months' Access to harvest Online Data Platform

KEY FEATURES

  • Intelligent Driver Systems Landscape: Evaluation of the state of the intelligent driver systems market; identifying key emerging technologies and service analysis, including:
    • ADAS (Automated Driver Assistance Solutions) and autonomous vehicles
    • In-vehicle apps
    • In-vehicle software
    • In-vehicle voice assistants
  • Juniper Research Leaderboard: Key player capability and capacity assessment of 15 leading Intelligent Driver Systems vendors, including:
    • Apple
    • Bosch
    • Cisco
    • Continental
    • Ericsson
    • Google
    • HARMAN
    • Huawei
    • IBM
    • Intel
    • Microsoft
    • Nokia
    • Oracle
    • Qualcomm
    • Tata Communications
  • Future Business Model Analysis: An evaluation of the business and monetisation models available to service providers in the market; assessing the benefits of implementation and market challenges. These include:
    • One-off Purchase Models
    • Subscription Models
    • Value-added In-vehicle Services
  • Phased Evolution Model for In-vehicle Services: An analysis of the potential for future market services in intelligent driver systems, including the development of autonomous vehicles, service launches and new partnerships between stakeholders.
  • Benchmark Industry Forecasts: Provided for intelligent driver systems services including directly integrated in-vehicle services, autonomous vehicles, ADAS and directly integrated voice assistants.

KEY QUESTIONS

  • 1. How can technology service providers integrate their services further into the automotive ecosystem?
  • 2. What are the key business models or market strategies that these players should implement?
  • 3. Which technologies are set to disrupt the automotive market over the next 5 years?
  • 4. Which technology service providers are currently leading the development of automotive technologies?
  • 5. What will the intelligent driver systems market look like in 2025?

COMPANIES REFERENCED

  • Included in Juniper Research Leaderboard: Apple, Bosch, Cisco, Continental, Ericsson, Google, Harman, Huawei, IBM, Intel, Microsoft, Nokia, Oracle, Qualcomm, Tata Communications.
  • Mentioned: 5G Automotive Association, Agravis, Alphabet, Android Automotive, Audi, Aurora, Avis, Baidu, BMW, California Department of Motor Vehicles, CarPlay, City of Hamburg ITS, Continental, Cradelpoint, Daimler-Chrysler Auto, Delphi, DENSO, Drive Sweden, Einride, Elektrobit Wireless, Faurecia, , Fiat-Chrysler, Ford Motor, General Motors, GoFar, Iconiq, Jasper, Java, LG Electronics, Mercedes-Benz, Mobileye, MOL, Mongo, Moovit, Motorola Auto Technology, NHTSA (National Highway Traffic Safety Administration), Nissan, Nuro, NUVIA, Nvidia, NXP, O2 , Oxbotica, Pony.ai, Posser Spieth Wolfers & Partners, Red Hat, Redback Networks, Renault-Nissan-Mitsubishi Alliance, SAE (Society of Automotive Engineers), SAP, Service Solutions Segment SPX , Siemens VDO, Symphony Teleca, Teleena, Telia, Temic, Tesla, Thales, The Automotive Edge Computing Consortium, The Autonomous, TomTom, Toyota, Uber, Veoneer, Vocord, Vodafone, Volkswagen Group, VW, Waymo.com, Yandex, Zoox.

DATA & INTERACTIVE FORECAST

Juniper Research's “Intelligent Driver Systems” forecast suite includes:

  • 5-year benchmark forecasts for key metrics by 8 key regions and 19 country-level splits including:
    • Australia
    • Brazil
    • Canada
    • China
    • Denmark
    • France
    • Germany
    • India
    • Japan
    • Mexico
    • Netherlands
    • Norway
    • Portugal
    • Saudi Arabia
    • South Korea
    • Spain
    • Sweden
    • UK
    • US
  • Infotainment & in-vehicle apps, including:
    • Consumer vehicle with in-vehicle apps
    • Direct integration vs smartphone integration
    • Service provider revenue
  • Autonomous vehicles & ADAS, including the number of vehicles, shipments and sales revenue, split by:
    • Level 1 autonomous vehicles
    • Levels 2 & 3 autonomous vehicles
    • Levels 4 & 5 autonomous vehicles
    • Vehicles enabled with ADAS
  • In-vehicle voice assistants, including:
    • Total In-vehicle Voice Assistants
    • Total In-vehicle Voice Assistants that can Control Vehicle Functionality
  • Access to the full set of forecast data of over 75 tables and over 15,700 datapoints.
  • Interactive Excel Scenario tool allowing users the ability to manipulate Juniper Research's data for 5 different metrics.

Juniper Research's highly granular interactive Excels enable clients to manipulate Juniper Research's forecast data and charts, to test their own assumptions using the Interactive Scenario Tool and compare select markets side by side in customised charts and tables. IFxls greatly increase clients' ability to both understand a particular market and to integrate their own views into the model.

Table of Contents

1. Intelligent Driver Systems: Future Market Outlook

  • 1.1 Introduction to Intelligent Driver Systems
  • 1.2 Automotive Technology Ecosystem Overview
    • Figure 1.1: The Autonomous Ecosystem
  • 1.3 Mobility-as-a-Service vs Car Ownership
  • 1.4 Current Position of Technology Service Providers
  • 1.5 ADAS (Advanced Driver Assistance Systems)
    • Figure 1.2: Summary of SAE's International Levels of Driving Automation for On-Road Vehicles
  • 1.6 Autonomous Vehicles
    • 1.6.1 Autonomous Vehicle Challenges
      • i. Technological challenges:
        • Figure 1.3: Autonomous vehicle testing
      • ii. Social challenges:
      • iii. Legal challenges:
    • 1.6.2 Impact of the Covid-19 Pandemic on Autonomous Vehicles
      • Figure 1.4: Nuro R2 Self-driving Delivery Van
  • 1.7 Voice Assistants
  • 1.8 In-vehicle Software
  • 1.9 In-vehicle Apps
  • 1.10 Moving Computing Demands to the Cloud
    • 1.10.1 5G's Role in the Automotive Sector
      • Figure 5: The Landscape of 5G
    • 1.10.2 Edge Computing's Role in Automotive
      • Figure 1.5: Edge Computing

2. Intelligent Driver Systems: Future Business Models

  • 2.1 Technology Players' Opportunities
    • 2.1.1 One-off Purchases
      • Figure 2.1: GoFar mileage tracker
    • 2.1.2 Subscription Model
      • Figure 2.2: Example of Subscription Features from BMW
    • 2.1.3 Value-added Services
  • 2.2 Phased Evolution Model
    • Figure 2.3: Juniper Research's Phased Evolution Model Example
  • 2.3 Strategic Recommendations for Technology Players

3. Intelligent Driver Systems: The Competitive Landscape

  • 3.1 Overview of the market
    • Table 1: Scoring Criteria
    • Figure 3.1: Juniper Research Leaderboard
    • Figure 3.2: Juniper Research Heatmap: Intelligent Driver Systems
  • 3.2 Vendor Scoring Analysis
    • 3.2.1 Established Leaders
    • 3.2.2 Leading Challengers
    • 3.2.3 Disruptors & Emulators
  • 3.3 Limitations & Interpretations
  • 3.4 Company Profiles
    • 3.4.1 Apple
    • 3.4.2 Bosch
      • Table 2: Bosch Financial Snapshot, FY 2017-2019 ($m) (FYE 31 December)
    • 3.4.3 Cisco
    • 3.4.4 Continental
    • 3.4.5 Ericsson
    • 3.4.6 Google
    • 3.4.7 HARMAN
    • 3.4.8 Huawei
    • 3.4.9 IBM
    • 3.4.10 Intel
    • 3.4.11 Microsoft
    • 3.4.12 Nokia
    • 3.4.13 Oracle
      • Figure 3.3: Oracle Platform Solutions
    • 3.4.14 Qualcomm
      • Table 3: Qualcomm Financial Snapshot ($bn), 2018-2020
    • 3.4.15 Tata Communications

4. Intelligent Driver Systems: Market Forecasts & Key Takeaways

  • 4.1 Introduction to Intelligent Driver Systems
    • i. 5G Networks
    • ii. CV2X (Cellular V2X)
    • iii. In-vehicle Voice Assistants
  • 4.2 Intelligent Driver Market Summary
    • 4.2.1 Total Vehicles in Use
      • Figure & Table 4.1: Total Vehicles (m), Split by 8 Key Regions, 2020-2025
      • Table 4.2: Total Vehicles in Use (m), Split by Consumer and Commercial Vehicles, 2020-2025
    • 4.2.2 Total Number of Vehicles that Have Directly Integrated Services
      • Figure & Table 4.3: Total Number of Vehicles with Directly Integrated Services (m), Split by 8 Key Regions, 2020-2025
  • 4.3 In-vehicle Applications
    • 4.3.1 Forecast Methodology
      • Figure 4.4: In-vehicle Application Forecast Methodology
    • 4.3.2 Consumer Vehicles Adopting In-vehicle Applications
      • Figure & Table 4.5: Number of Consumer Vehicles Adopting In-vehicle Applications (m), Split by 8 Key Regions, 2020-2025
    • 4.3.3 Total Revenue from Apps Directly Integrated into the Head Unit
      • Figure & Table 4.6: Total Revenue from Apps Directly Integrated into the Head Unit ($m), Split by 8 Key Regions, 2020-2025
  • 4.4 Autonomous Vehicles
    • 4.4.1 Types of Autonomous Vehicles
      • Figure 4.7: ADAS Market Forecast Methodology
    • 4.4.2 Total Vehicles with Autonomous & ADAS Capabilities
      • Figure & Table 4.8: Total Vehicles with Autonomous Vehicle Capabilities (m), Split by 8 Key Regions, 2020-2025
    • 4.4.3 Autonomous Driving System Revenue
      • Figure & Table 4.9: Total Revenue from Autonomous Driving Solutions ($m), Split by 8 Key Regions, 2020-2025
  • 4.5 In-vehicle Voice Assistants
    • 4.5.1 Forecast Steps
      • Figure 4.10: In-vehicle Voice Assistants Forecast Methodology
    • 4.5.2 In-vehicle Voice Assistants with Access to Vehicle Functionality
      • Figure & Table 4.11: Total Automotive Voice Assistants with Access to Vehicle Functionality (m), Split by 8 Key Regions, 2020-2025