In-vehicle Payments

• 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.

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?

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.
 

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.