Big Data for the Automotive Industry: 2019-2025 – Opportunities, Challenges, Strategies, and Forecasts are big data for the automotive industry, including key market drivers, challenges, investment feasibility, application areas and use cases. In-Depth Assessment of Value Chain, Case Study, Supplier Profile and Strategy This report also presents market size forecasts for Big Data hardware, software and professional services investments from 2019 to 2025
With the spread of real-time and historical data from sources such as the Web, social media, sensors, log files and transactional applications, Big Data is rapidly gaining attention in a variety of vertical sectors. Big Data is not an exception to the automotive industry’s trend to discover applications ranging from product design and manufacturing to predictive vehicle maintenance and autonomous navigation.
The study estimates that Big Data investments in the automotive industry will account for more than $ 3.3 billion in 2018. Based on numerous business opportunities for automotive OEMs, primary suppliers, insurers, distributors and other stakeholders, this investment is expected to grow at a CAGR of approximately 16% over the next three years.
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The top players including
- BMW AG.
- Daimler AG
- Fiat Chrysler Automobiles
- Ford Motor
- General Motors
- Honda Motor
- Tesla Motors
North America, Asia-Pacific, Africa, Europe, and Latin America have been examined on the basis of different parameters such as Automotive Big Data It helps to provide regional analysis as per the developing and developed regions. It sheds light on different terminologies such as, Automotive Big Data
Large data from a large number of sensors can be inferred in relation to consumer behavior. For example, you can set up tasks such as connecting musicians to the restaurants you hear and visit frequently. This kind of connection can affect ad resource allocation and budgets, so information collected from connected vehicles is commercially valuable
The automotive industry will account for more than $ 3.3 billion in 2018 alone. Based on numerous Business opportunities for automotive OEMs, primary suppliers, insurers, distributors and other stakeholders, this investment is expected to grow at a CAGR of approximately 16% over the next three years.
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Chapter 1: Introduction
- Executive Summary
- Topics Covered
- Forecast Segmentation
- Key Questions Answered
- Key Findings
- Target Audience
- Companies & Organizations Mentioned
The use of this real-time information is changing the way people drive. In addition to controlling the drive itself, early warning of imminent mechanical problems can save time and money by preventing failures and anticipating maintenance. In addition, cars are automatically synchronized to environmental conditions and changing environments.
As more autonomous vehicles enter the scene, big data will only get bigger and consequently the potential for autonomous technology will rise, resulting in a vastly more data-centric automotive industry.
Finally, researchers throw light on pinpoint analysis of global market dynamics such as Automotive Big Data It also measures the sustainable trends and platforms which are the basic roots behind the market growth. The degree of competition is also measured in the research report. With the help of SWOT and Porter’s five analysis, the market has been deeply analyzed. It also helps to address the risk and challenges in front of the businesses. Furthermore, it offers extensive research on sales approaches.