Houston, TX -- (SBWIRE) -- 03/07/2019 -- In 2018, Big Data vendors will pocket more than $3.3 Billion from hardware, software and professional services revenues in the automotive industry. These investments are further expected to grow at a CAGR of approximately over 16% over the next three years, eventually accounting for over $5 Billion by the end of 2025
Big data from the automotive industry, including key market drivers, challenges, investment potential, application areas, use cases, future road maps, value chain, case studies, supplier profiles and strategies. , Market size forecasts for software and professional services investments.

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The global Automotive Big Data market research study for systematically analyzing the Automotive Big Data market has recently added by Market Reports to its database. The global Automotive Big Data market is a detailed analysis of different parameters including profit margin, market size, shares, and growth rate. It offers several approaches for competing in the market space. Additionally, it offers some online and offline activities for increasing the performance of the companies. Furthermore, it consists of different methodologies for identifying the customers and potential customers.
Western Digital Corporation, WhereScape, WiPro, Wolfram Research, Workday, Xplenty, Yellowfin BI, Yseop, Zendesk, Zoomdata, Zucchetti

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Overview of Big Data:
What is Big Data?
Key Approaches to Big Data Processing
Hadoop
NoSQL
Big Data Analytics:
What are Big Data Analytics?
The Importance of Analytics
Reactive vs. Proactive Analytics
Customer vs. Operational Analytics
Business Case & Applications in the Automotive Industry:
Overview & Investment Potential
Industry Specific Market Growth Drivers
Industry Specific Market Barriers

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As the Internet of Things (IoT) rapidly expands, more and more devices are connected to the Internet. Traditionally, these products were biometric wearables, consumer electronics and audiovisual equipment. But carmakers are playing to get to this market for their own purposes.

North America, Latin America, Asia-Pacific, Africa, and Europe have been analyzed to study about different verticals of market such as Automotive Big Data Additionally, it offers regional analysis based on developing and developed countries as per the demanding structure of the Automotive Big Data market. A detailed outline of the Automotive Big Data industries has been provided by profiling the leading key players. The top-level companies profiled in this research report includes 1010data, Absolutdata, Accenture, Actian Corporation/HCL Technologies, Adaptive Insights, Adobe Systems, Bitam, Blue Medora, BlueData Software, BlueTalon, BMC Software, BOARD International, Booz Allen Hamilton, Boxever, CACI International, Cambridge Semantics, Capgemini, Cazena, Centrifuge Systems, CenturyLink, Chartio, Cisco Systems, Civis Analytics, ClearStory Data, Cloudability, Cloudera, Cloudian, Clustrix, CognitiveScale, Collibra, Concurrent Technology/Vecima Networks, Confluent, Contexti,), Facebook, FICO (Fair Isaac Corporation), Figure Eight, FogHorn Systems, Fractal Analytics, Franz, Fujitsu, Fuzzy Logix, Gainsight, GE (General Electric), Glassbeam, GoodData Corporation, Google/Alphabet, Grakn Labs, Greenwave Systems, GridGain Systems, H2O.ai, HarperDB, Hedvig, Hitachi Vantara, Hortonworks, HPE (Hewlett Packard Enterprise), Huawei, HVR, HyperScience, HyTrust, IBM Corporation, iDashboards, IDERA, Ignite Technologies, Imanis Data, Impetus Technologies, Incorta, InetSoft Technology Corporation, InfluxData, Infogix, Infor/Birst, Informatica, Information Builders, Infosys, Mu Sigma, NEC Corporation, Neo4j, NetApp, Nimbix, Nokia, NTT Data Corporation, Numerify, NuoDB, NVIDIA Corporation, Objectivity, Oblong Industries, OpenText Corporation, Opera Solutions, Optimal Plus, Oracle Corporation, Palantir Technologies, Panasonic Corporation/Arimo, Panorama Software, Teradata Corporation, Thales/Guavus, ThoughtSpot, TIBCO Software, Toshiba Corporation, Transwarp, Trifacta, Unifi Software, Unravel Data, VANTIQ, VMware, VoltDB, WANdisco, Waterline Data,

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