Automotive Data Monetization Market Size, Historic Growth, Analysis, Opportunities and Forecast to 2028

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Automotive data monetization market collapses – Rise in connected cars

VANCOUER, BC, CANADA, January 18, 2022 /EINPresswire.com/ — The Global automotive data monetization market the size is expected to reach USD 86.91 billion at a stable CAGR of 38.5% in 2028, according to the latest analysis from Emergen Research. The report carefully examines the current Automotive Data Monetization market scenario and fundamental growth prospects. The report includes an organized database of Automotive Data Monetization market dynamics that helps market analysts to estimate the global Automotive Data Monetization market growth rate over the projected period.

The revenue growth of the global automotive data monetization market is driven by the increased application of advanced analytics and big data in automotive manufacturing and to provide more advanced features and services in vehicles, reduce the cost of operations and investments and improve the safety of drivers and passengers. Vehicles are increasingly connected to each other, and advances in road infrastructure and an increase in the number of sensors used result in the generation of vast amounts of data. The data collected can be mined and monetized, but this is currently at a nascent stage.

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Vehicles are capable of capturing and sharing different types of data, including vehicle performance, geolocation, biometric data, and driver behavior. GPS functionality has supported navigation systems for years, and smarter data apps are adding value in the form of real-time road safety and traffic updates and alerts.

Some highlights of the report

In May 2021, Ford Motor launched over-the-air update capability “Power-Up” technology to perform remote upgrades of its trucks and cars, and also plans to roll out 33 million vehicles by the end of the year. end of 2028. The new technology would collect data on millions of business customers and consumers, giving automakers access to a revenue stream.

Predictive maintenance helps to better understand the need for vehicle maintenance before a breakdown occurs. Predictive maintenance analyzes data generated by connected vehicles to understand the need for maintenance with current data from vehicle sensors. It reduces additional maintenance costs, increases vehicle efficiency and improves customer and business experience. It also helps save lives from unexpected accidents.

The cloud segment accounted for a higher revenue share in 2020 due to better scalability, cost efficiency, increased reliability, and faster time to access new technologies as a service easily available. Cloud-based deployment is a key solution for OEMs due to the above advantages.

Companies Featured in Global Automotive Data Monetization Market:

Continental AG, Tech Mahindra Limited, IBM Corporation, Harman International, Tesla, Microsoft Corporation, Wejo Limited, Oracle, Caruso GmbH and The Floow Limited.

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has segmented the global Automotive Data Monetization Market:

Type Outlook (Revenue, USD Billion; 2018-2028)
Direct
Indirect

Deployment Type Outlook (Revenue, USD Billion; 2018-2028)
On the site
Cloud

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End-Use Channel Outlook (Revenue, USD Billion; 2018-2028)
Assurance
Government
Predictive maintenance
Mobility as a Service (MaaS)

Regional analysis:

The global Automotive Data Monetization Market report comprehensively considers the market mechanism of developing and developed regions of the market. This section provides crucial data and insights into various market regions, country-wise analysis of Automotive Data Monetization market industry and an assessment of the market scope and consumer base in the geographical regions keys to enable readers to formulate effective strategies for business expansion. .

Summary of key points from the report:

It also offers regional market analysis and forecasts for the major geographies of the industry i.e. North America, Europe, Asia-Pacific, Latin America, Middle East and Africa. .

Industry supply chain, sourcing strategy, upstream raw materials and downstream demand analysis have also been undertaken in the research report.

The report uses different analytical tools including SWOT analysis, Porter’s five forces analysis, and price analysis to provide accurate market insights.

The report offers a comprehensive overview of the market size, share, and growth rate over the forecast duration.

It provides details of the current scenario, historical data, giving an accurate forecast of the market for the coming years.

The study categorizes the market based on product types, applications, end-users, market value and volume, industry verticals, and 5 major regions.

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Contents:

Chapter 1 includes an introduction of the global Automotive Data Monetization Market, along with a comprehensive market overview, market scope, product offerings, and a survey of the market drivers, growth opportunities, risks, constraints and other vital factors.

Chapter 2 offers an in-depth analysis of key manufacturers engaged in this business vertical along with their sales and revenue estimates.

Chapter 3 details the highly competitive terrain of the market, highlighting the major manufacturers and suppliers.

In Chapter 4, our team has fragmented the market based on regions, highlighting the sales, revenue and market share of each region over the forecast period.

Chapter 5 and 6 emphasized on market segmentation based on product type and application

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Eric Lee
Emerging research
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