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 provides an extensive analysis of the competitive landscape of the Automotive Data Monetization industry and covers the companies’ profiles, product portfolio, manufacturing and production capacity, market reach and share, revenue generation, and strategic business initiatives undertaken by the companies. The report offers a comprehensive analysis of the competitive strengths of the players and offers an individual analysis of the key competitors. Major companies profiled in the report are 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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Global Automotive Data Monetization Market Scope and Size
The Automotive Data Monetization Market is further segmented into product types, application spectrum, end-user industries, and technology, among others. The analysis of the different segments offers a deeper insight into the different growth factors that are expected to drive the growth of the market.
Additionally, the report offers market share data for the global spread of the Automotive Data Monetization industry. Key geographical regions such as North America, Europe, Asia Pacific, Latin America, and Middle East & Africa are studied to assess the market size, market share, production and consumption patterns, import/export, supply and demand ratio, and revenue contributions. Furthermore, the regions are also studied to understand the operations of the key players located in the region.
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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
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