Invest in Russia — invest in Russian regions!
All analytics

Accelerating the car data monetisation

Research
26 March 2018

Car connectivity over the past few years has evolved from theoretical concept to reality. As a value pool, connectivity may reach $450 billion to $750 billion worldwide by 2030. But doing so will depend on the ability of market players to use the data generated by cars, drivers, and mobility systems to develop products that create revenue, reduce costs, and enhance safety and security.

While the potential is significant, monetising this car data at scale remains a major challenge. To take stock of complex developments in this arena, McKinsey conducted a year-long research effort that involved both end users and industry insiders from around the world.

The research highlighted how industry executive identify specific challenges that cause the "car data monetisation gap"—the space between car data value potential identification and revenue or savings actually generated from it or losses eliminated.


No matter which features car data can make possible, capturing value from them is not feasible if consumers do not see the benefit. Of the executives surveyed, 77 percent agreed that managing a diverse set and vast amount of data will require companies to take a different organisational approach.

All car market players target value creation through car data monetisation, but the exact path and measures they take depend on where they sit in the value chain. These could be suppliers, technology designers, dealers, service providers. After assessing their starting points, companies may take appropriate actions on the highway to data monetisation.


Anlytics on the topic

All analytics
Research
10 December 2019
Report on the development of digital (online) trade in the EAEU

A team of experts from the Eurasian Economic Commission have analyzed the problems and challenges currently faced by Eurasian digital commerce participants when trading on the domestic market and on the markets of third countries and have formulated a set of measures to stimulate the development of digital (online) trade.

Articles
1 November 2019
Artificial Intelligence in the Digital Economy

The article in the framework of the national project «Digital Economy» analyzes the development trends and features of the use of artificial intelligence (AI) in Russia. The advantages of this sphere of economic activity in comparison with the use of other «breakthrough» technologies are considered. Attention is focused on the features of the third wave of business process transformation associated with adaptive business processes, which allow, using AI, to radically transform a business by processing big data in real time instead of performing a predetermined sequence of steps.

Research
3 August 2020
High-tech business in Russian regions, 2020, the National Report

The third edition of the National Report highlights regions with favorable conditions where resources are concentrated for high technologies development, as well as regions that have already succeeded in non-resource sector developing. The global goal of the Report is to identify potential points of non-resource growth of the Russian economy.

Research
4 September 2022
Aid for Trade Global Review: Empowering connected, sustainable trade

The publication presents the results of the 2022 joint OECD—WTO Aid for Trade monitoring and evaluation exercise. The authors analyze the latest trends in trade and the factors that have a direct effect on trade flows and global economy.