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市場調查報告書

車內付款 (In-Vehicle Payment) 市場 - 引進,供應商定位,市場預測:2020年∼2025年

In-Vehicle Payments: Adoption, Vendor Positioning & Market Forecasts 2020-2025

出版商 Juniper Research Ltd 商品編碼 962455
出版日期 內容資訊 英文
商品交期: 最快1-2個工作天內
價格
車內付款 (In-Vehicle Payment) 市場 - 引進,供應商定位,市場預測:2020年∼2025年 In-Vehicle Payments: Adoption, Vendor Positioning & Market Forecasts 2020-2025
出版日期: 2020年09月21日內容資訊: 英文
簡介

本報告提供車內付款 (In-Vehicle Payment) 市場相關調查分析,市場發展,使用案例,策略等相關的系統性資訊。

本報告包含以下內容。

提供內容

  • 策略、預測 (PDF)
  • 5年的詳細資料、預測 (PDF/IFxl)
  • 線上資料平台的利用 (12個月)

主要的特徵

  • 市場動態
  • 使用案例分析
  • 供應商定位指數
  • 產業預測

主要的問題

參照企業

資料、互動預測

  • 各預測:8個地區、22個國家
    • 澳洲
    • 巴西
    • 加拿大
    • 中國
    • 丹麥
    • 法國
    • 德國
    • 印度
    • 義大利
    • 日本
    • 墨西哥
    • 荷蘭
    • 挪威
    • 葡萄牙
    • 俄羅斯
    • 沙烏地阿拉伯
    • 新加坡
    • 韓國
    • 西班牙
    • 瑞典
    • 英國
    • 美國
  • 預測資料集 (8個9以上的表格,含19,00個0以上的資料點) 的存取
  • IFxls (互動Excel) 方案工具
目錄

Juniper Research's new ‘In-vehicle Payments' ’research report provides an in-depth evaluation of how this nascent market is developing and how use cases are emerging for the implementation of payments in both consumer and commercial vehicles. The report focuses on the strategies required to drive the connected car commerce market forward, as well as providing an extensive forecast suite, which outlines the future rate of adoption for in-vehicle payment solutions.

The forecast and the use case analysis in the report focus on the following segments:

  • Automated toll road payments
  • Fuel/electric vehicle charging payments
  • Smart parking payments
  • Other in-vehicle payments (including for coffee, food and eCommerce purchases)

The research report also positions in-vehicle payments vendors via a Juniper Research Vendor Positioning Index; providing a key resource when considering the emerging in-vehicle payments market.

This research suite comprises:

  • Strategy & Forecasts (PDF)
  • 5-Year Deep Dive Data & Forecasting (PDF/IFxl)
  • 12 months' access to harvest online data platform

Key Features

  • In-vehicle Payments Market Dynamics: Detailed analysis of the current state of evolution of the in-vehicle payments market; analysing the supporting technologies in place, the wider connected car ecosystem and considerations for deployments for vendors throughout the value chain.
  • In-vehicle Payments Use Case Analysis: Extensive analysis of the main use cases for the adoption of in-vehicle payments, including the current partnerships in place, the challenges involved and future outlook. This analysis includes four main areas:
    • Automated toll road payments
    • Fuel/electric vehicle charging payments
    • Smart parking payments
    • Other in-vehicle payments
  • Juniper Research In-vehicle Payments Vendor Positioning Index: Key player capability and capacity assessment for 15 in-vehicle payment vendors:
    • Amazon
    • Apple
    • Bosch
    • Connected Car Commerce Alliance
    • Daimler
    • Gentex
    • Google
    • Harman
    • Mastercard
    • P97 Networks
    • Telenav
    • Fiat Chrysler Automobiles
    • Visa
    • Worldline
    • Xevo
  • Benchmark Industry Forecasts: Forecasts for vehicles making payments, transaction volumes and values, split by consumer and commercial, provided across our key use cases.

Key Questions

  • 1. What are the most promising use cases for in-vehicle payments?
  • 2. How will the infrastructure challenges for in-vehicle payments be resolved?
  • 3. What kinds of partnerships and ecosystems need to be developed to enable the best experiences?
  • 4. Which key vendors will drive progress in the market and what will their strategies be?
  • 5. What will be the total value of the in-vehicle payments market in 2025?

Companies Referenced

  • Included in Juniper Research Vendor Positioning Index: Amazon, Apple, Bosch, Connected Car Commerce Alliance, Daimler, Gentex, Google, Harman, Mastercard, P97 Networks, Telenav, Fiat Chrysler Automobiles, Visa, Worldline, Xevo.
  • Mentioned: Aitheon, Applebee's, Aptiv, Aquantia, Archer Robotics, Audi, Autonomous Vehicle Alliance, Avis, BMW, Buick, Cadillac, Capra Consulting Group, Chevrolet, Chevron, Connected Travel, Context Information Security, Continental, delivery.com, Denso, EasyPark, Embark, Ericson, Esso, Exxon/Mobil, Fintech Thinxnet, Ford, General Motors, Gilbarco Veeder-Root, GM, GMC, GS Caltex, Harman, HERE Technologies, Honda, Hyundai, IBM, IEC (International Electrotechnical Commission), IHOP, Intel, IPS Group, ISO (International Organization for Standardization), Jeep, Lear Corporation, LG U+, Mercedes, Microsoft, Mojio, NCR, NTT, Nvidia Corp, OrbisTech, Otonomo, OwiN, Panasonic Corp, Parkopedia, ParkWhiz, PayPal, Pioneer, Priceline.com, Ryde, Samsung, Shell, Shinhan Card, Siemens AG, SiriusXM Connected Vehicles Services, Starbuck, Texaco, TNS (Transaction Network Services), Toyota, TuSimple, Uber, Verifone, Volkswagen, Volkswagen Group of America, VW, Wayne Fuelling Systems, Waze, Which.

Data & Interactive Forecast

Juniper Research's ‘In-vehicle Payments' ’ forecast suite includes:

  • Forecast splits for 8 key regions, as well as 22 country-level data splits for:
    • Australia
    • Brazil
    • Canada
    • China
    • Denmark
    • France
    • Germany
    • India
    • Italy
    • Japan
    • Mexico
    • Netherlands
    • Norway
    • Portugal
    • Russia
    • Saudi Arabia
    • Singapore
    • South Korea
    • Spain
    • Sweden
    • UK
    • US
  • Forecasts for vehicles making payments, transaction volumes and values, split by consumer and commercial, provided across the following segments:
    • Fuel/electric vehicle charging payments
    • Smart parking payments
    • Automated toll road payments
    • Other in-vehicle payments
  • Interactive Scenario Tool allowing users to manipulate Juniper Research's data for 10 different metrics.
  • Access to the full set of forecast data of 89 tables and more than 19,000 datapoints.

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

Table of Contents

1. In-vehicle Payments: Key Takeaways & Strategic Recommendations

  • 1.1. Key Takeaways

2. In-vehicle Payments: Market Landscape

  • 2.1. Introduction
  • 2.2. Definition of Terms
  • 2.3. In-vehicle Payments Technology Infrastructure Overview
    • Figure 2.1: Systems for Connected Cars Communication
    • Figure 2.2: In-vehicle Payment Functionality - BLE
  • 2.4. Connected Cars Ecosystems and the Role of Payment Providers
    • 2.4.1. Introduction
    • 2.4.2. Connected Car Ecosystem
      • Table 2.3: Connected Car-Product and Services
      • Table 2.4: Connected Car-Product and Services - Continued
    • 2.4.3. In-vehicle Payments: Market Landscape
      • i. The Need for Industry Collaboration
      • ii. Evolving Payment Models in Automotive
      • iii. Current Industry Partnerships
        • Figure 2.5: In-Vehicle Payments Industry Collaborations
      • iv. In-vehicle Payments Challenges
  • 2.5. In-vehicle Payments: Future Outlook
  • 2.6. In-vehicle Payments: Implementation Considerations
    • 2.6.1. Introduction
      • i. IoT and Payments
        • Table 2.6: Integrating IoT and Payments - Opportunities
        • Table 2.7: Integrating IoT and Payments - Challenges
    • 2.6.2. Suggested Approach to In-vehicle Payments Implementation
    • 2.6.3. An Assessment of In-vehicle Payment Systems
    • 2.6.4. Payment Companies: Industry Developments and Challenges
      • i. Industry Developments
    • 2.6.5. Industry Challenges

3. In-vehicle Payments: Segment Analysis

  • 3.1. In-vehicle Payments Use Cases for Connected Car Payments
    • 3.1.1. In-vehicle Payments Use Case Fuel Payments
      • Figure 3.1: Pay-at-the-pump Technology Components
      • i. In-vehicle Payment Solutions for pay-at-the pump
      • ii. Challenges for Deployment
      • iii. Electric Vehicle Charging Payments
      • iv. Fuel/Charging Future Outlook
    • 3.1.2. In-vehicle Payments Use Case Smart Parking
      • i. In-vehicle Payment Solutions for Smart Parking
        • Figure 3.2: Smart Parking Information Allocation Centre
      • ii. Smart Parking Future Outlook
    • 3.1.3. In-vehicle Payments Use Case Automatic Toll Gate Payments
      • i. Automatic Toll Gate Payments Future Outlook
    • 3.1.4. In-Vehicle Payments Other Use Cases
      • i. Other Use Cases Future Outlook

4. In-vehicle Payments: Competitive Landscape

  • 4.1. In-vehicle Payments Vendor Positioning Index
    • 4.1.1. Introduction
      • Table 4.1: In-vehicle Payments Vendor Positioning Index Score Criteria Definitions
      • Table 4.2: In-vehicle Payments Vendor Positioning Index Scores
      • Figure & Table 4.3: In Vehicle Payments - Phased Evolution Model
      • Figure 4.4: Juniper Research Vendor Positioning Index - In-vehicle Payments
  • 4.2. Positioning Index Vendor Commentary
    • i. Xevo
    • ii. Daimler
    • iii. Amazon
    • iv. Fiat Chrysler Automobiles
    • v. P97. Networks
    • vi. Telenav
    • vii. Gentex
    • viii. Apple
    • ix. Bosch
    • x. Connected Cars Commerce Alliance
    • xi. Google
    • xii. Harman
    • xiii. Mastercard
    • xiv. Visa
    • xv. Worldline

5. In-vehicle Payments: Market Forecast

  • 5.1. Introduction
  • 5.2. In-vehicle Payments Methodology & Assumptions
    • Figure 5.1: Consumer In-vehicle Payments - Forecast Methodology
    • Figure 5.2: Commercial In-vehicle Payments Forecast Methodology
  • 5.3. Forecast Summary
    • 5.3.1. Total Vehicles Making Connected Payments
      • Figure & Table 5.3: Total Number of Vehicles Making Payments, (m), 2020-2025, Split by 8 Key Regions
    • 5.3.2. Total Volume of In-vehicle Payments
      • Figure & Table 5.4: Total Volume of In-vehicle Payments (m), 2020-2025, Split by 8 Key Regions
    • 5.3.3. Total Spend via In-vehicle Payments
      • Figure & Table 5.5: Total Value of In-vehicle Payments ($m), 2020-2025, Split by 8 Key Regions
  • 5.4. Consumer In-vehicle Payments
    • 5.4.1. Total Number of Consumer In-vehicle Payment Transactions
      • Figure & Table 5.6: Total Transactions Made by Payment-enabled Connected Consumer Vehicles (m), 2020-2025, Split by 8 Key Regions
    • 5.4.2. Total Value of Consumer In-vehicle Payment Transactions
      • Figure & Table 5.7: Total Annual Transaction Value of Payment-enabled Connected Consumer Vehicles ($m), 2020-2025, Split by 8 Key Regions
  • 5.5. Commercial In-vehicle Payments
    • 5.5.1. Total Number of Commercial In-vehicle Payment Transactions
      • Figure & Table 5.8: Total Transactions Made by Payment-Enabled Connected Commercial Vehicles (m), 2020-2025, Split by 8 Key Regions
    • 5.5.2. Total Value of Commercial In-vehicle Payment Transactions
      • Figure & Table 5.9: Total Annual Transaction Value of Payment-enabled Connected Commercial Vehicles ($m), 2020-2025, Split by 8 Key Regions