-- Analysis of Big Data in the Automotive Market:
“Big Data” originally emerged as a term to describe datasets whose size is beyond the ability of traditional databases to capture, store, manage and analyze. However, the scope of the term has significantly expanded over the years. Big Data not only refers to the data itself but also a set of technologies that capture, store, manage and analyze large and variable collections of data, to solve complex problems.
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List of Companies Mentioned:
1010data, Absolutdata, Accenture, ACEA (European Automobile Manufacturers’ Association), BCG (Boston Consulting Group), Bedrock Data, BetterWorks, Civis Analytics, ClearStory Data, Cloudability, Daimler, Dash Labs, Databricks, Elastic, Engineering Group (Engineering Ingegneria Informatica), EnterpriseDB Corporation, etc.
Big Data in the Automotive Industry will account for more than $3.3 Billion in 2018 alone. Led by a plethora of business opportunities for automotive OEMs, tier-1 suppliers, insurers, dealerships and other stakeholders, these investments are further expected to grow at a CAGR of approximately 16% over the next three years.
The Big Data in the Automotive Market report provides detailed profile assessments and current scenario revenue projections for the most promising industry participants. The Global Big Data in the Automotive Industry report focuses on the latest trends in the Global and regional spaces on all the significant components, including the capacity, cost, price, technology, supplies, production, profit, and competition.
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The “Big Data in the Automotive Industry: 2018 – 2030 – Opportunities, Challenges, Strategies & Forecasts” report presents an in-depth assessment of Big Data in the automotive industry including key market drivers, challenges, investment potential, application areas, use cases, future roadmap, value chain, case studies, vendor profiles and strategies. The report also presents market size forecasts for Big Data hardware, software and professional services investments from 2018 through to 2030. The forecasts are segmented for 8 horizontal submarkets, 4 application areas, 18 use cases, 6 regions and 35 countries.
Big Data in the Automotive Market report includes the estimation of market size for value (million US$) and volume (K MT). Both top-down and bottom-up approaches have been used to estimate and validate the market size of Big Data in the Automotive market, to estimate the size of various other dependent submarkets in the overall market. Key players in the market have been identified through secondary research, and their market shares have been determined through primary and secondary research. All percentage shares, splits, and breakdowns have been determined using secondary sources and verified primary sources.
The study objectives of this report are:
To analyze and study the global Big Data in the Automotive Market capacity, production, value, consumption, status (2013-2017) and forecast (2018-2025);
Focuses on the key Big Data in the automotive manufacturers, to study the capacity, production, value, market share and development plans in future.
Focuses on the global key manufacturers, to define, describe and analyze the market competition landscape, SWOT analysis.
And more…
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