The global automotive data monetization market size is expected to reach USD 86.91 Billion at a steady CAGR of 38.5% in 2028, according to latest analysis by Emergen Research.

Global automotive data monetization market revenue growth is driven due to increased application of advanced analytics and Big Data in automotive manufacturing and to provide more advanced features and services in vehicles, reduce operational costs and investment, and enhance driver and passenger safety. Vehicles are getting increasingly more connected to each other and advancements in road infrastructure and increase in number of sensors being used is resulting in generation of vast data volumes. Data collected can be leveraged and monetized, but this is currently at a nascent stage.

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The report concludes with a panoramic view of the global Automotive Data Monetization industry, which comprises the salient global and regional market aspects, supported by key statistical data and industry-verified facts. It thoroughly examines the market size, share, and volume existing throughout the historical years (2018-2019) in order to forecast the same for the projected years (2021-2028). Furthermore, the report studies a wide array of growth prospects and threats and challenges that are poised to influence the performance of the key market players in the near future.

Market Segmentation by Key Player:

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

Some Key Highlights From the Report

• Predictive maintenance enables insights about the need for maintenance of vehicles before a breakdown occurs. Predictive maintenance analyzes data generated from connected vehicles to understand the need for maintenance with current vehicle sensor data. It saves additional maintenance cost, increases efficiency of vehicles, and improves experience of both customers and companies. It also helps in saving lives from unexpected accidents.
• Cloud segment accounted for a larger revenue share in 2020 due to better scalability, improved cost-efficiency, increased reliability, and faster time to access new technologies as a readily available service. Cloud-based deployment is key solution for OEMs due to the above benefits.
• North America accounted for largest revenue share in 2020 due to rise in demand for connected cars, integration of IoT in the automotive sector, and increasingly stringent vehicle safety norms. Moreover, steady deployment of Advanced Driver-Assistance Systems (ADAS) in the U.S is further driving growth of the automotive data monetization market in the region.

Automotive Data Monetization Market Segmentation:

Emergen Research has segmented the global automotive data monetization market on the basis of type, deployment type, end-use, and region:

• Type Outlook (Revenue, USD Billion; 2018–2028)
  • Direct
  • Indirect
• Deployment Type Outlook (Revenue, USD Billion; 2018–2028)
  • On-Premises
  • Cloud
• End-use Channel Outlook (Revenue, USD Billion; 2018–2028)
  • Insurance
  • Government
  • Predictive Maintenance
  • Mobility as a service (MaaS)

Key geographical regions analyzed in the report:

North America (U.S., Canada)

Europe (U.K., Italy, Germany, France, Rest of EU)

Asia Pacific (India, Japan, China, South Korea, Australia, Rest of APAC)

Latin America (Chile, Brazil, Argentina, Rest of Latin America)

Middle East & Africa (Saudi Arabia, U.A.E., South Africa, Rest of MEA)

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Key points covered in the report:

• The report provides the reader with a detailed study of the global Automotive Data Monetization market, including essential data beneficial for business.
• The prominent factors driving and restraining market growth, latest product trends, and technological advancements have been extensively discussed by the authors of the report.
• A broad market categorization, based on product type, application gamut, and end-user landscape, has been included in the report.
• It further entails the latest product development, incorporation of new techniques, and profiles of major competitors in the market.

Table Of Content:

Chapter 1. Methodology & Sources
    1.1. Market Definition
    1.2. Research Scope  
    1.3. Methodology
    1.4. Research Sources
          1.4.1. Primary
          1.4.2. Secondary
          1.4.3. Paid Sources
    1.5. Market Estimation Technique
Chapter 2. Executive Summary
    2.1. Summary Snapshot, 2020-2028
Chapter 3. Key Insights
Chapter 4. Automotive Data Monetization Market Segmentation & Impact Analysis
    4.1. Automotive Data Monetization Market Material Segmentation Analysis
    4.2. Industrial Outlook 
          4.2.1. Market indicators analysis
          4.2.2. Market drivers analysis
                    4.2.2.1. Rise in vehicle connectivity fueling the demand for monetizing data
                    4.2.2.2. Need for creating customer value proposition 
          4.2.3. Market restraints analysis 
                    4.2.3.1. Cybersecurity risk 
    4.3. Technological Insights 
    4.4. Regulatory Framework
    4.5. Porter’s Five Forces Analysis
    4.6. Competitive Metric Space Analysis
    4.7. Price trend Analysis
    4.8. Covid-19 Impact Analysis

READ MORE…!

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