Big Data in the Automotive Market Projected to reach $9.05 Billion by 2025 | Key players include Absolutdata, Accenture, Actian Corporation, Adaptive Insights, Adobe Systems

“Big Data” term 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.

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 16% over the next three years, eventually accounting for over $9.05 Billion by the end of 2025. Privacy continues to remain a major concern, and ensuring the protection of sensitive information – through creative anonymization and dedicated cybersecurity investments – is necessary in order to monetize the swaths of Big Data that will be generated by a growing installed base of connected vehicles and other segments of the automotive industry.

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The Major Market Players in Big Data in the Automotive Industry:
• Absolutdata
• Accenture
• ACEA (European Automobile Manufacturers’ Association)
• Actian Corporation
• Adaptive Insights
• Adobe Systems
• Advizor Solutions
• AeroSpike
• AFS Technologies
• Alation
• Algorithmia
• Allstate Corporation
• Alluxio
• Alphabet

The Big Data in the Automotive Market report presents the comprehensive analysis of key market segments and sub-segments, evolving the Big Data in the Automotive market trends and dynamics, changing supply and demand scenarios. Quantifying Big Data in the Automotive business opportunities through market sizing and forecasting, Tracking current trends/opportunities/challenges, competitive insights, opportunity mapping in terms of technological breakthroughs.

Big Data in the Automotive Industry Segmentation:

By Components
• Hardware
• Software
• Professional Services

By Technology
• Storage & Compute Infrastructure
• Networking Infrastructure
• Hadoop & Infrastructure Software
• SQL
• NoSQL
• Analytic Platforms & Applications
• Cloud Platforms
• Professional Services

By Application
• Product Development, Manufacturing & Supply Chain
• After-Sales, Warranty & Dealer Management
• Connected Vehicles & Intelligent Transportation
• Marketing, Sales & Other Applications

The Big Data in the Automotive research report displays growth opportunities over the forecast period, while also highlighting the market drivers, constraints, threats, challenges, competitive landscape, and other key aspects, such as the supply chain with regards to the market. Big Data in the Automotive report's primary goal is to identify the size of the distinct sections and geographies as well as forecast the trends that are likely to gain momentum in the following few years. The purpose of Big Data in the Automotive research report is to integrate both the qualitative and quantitative elements of the sector within each region.

Additionally, the information on the latest developments in this Big Data in the Automotive market, both, at the as well as regional level, is expected to enhance the decision-making capability of the reader. Up-to-date information on various specifications, buyer analysis, their purchasing volume, prices, and price analysis, and deep insights on the leading suppliers have also been provided in Big Data in the Automotive study for the readers.

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Geographically, this Big Data in the Automotive report is segmented into several key regions,
North America
• USA
• Canada
Europe
• Germany
• U.K.
• France
• Italy
• Rest of Europe
APAC
• China
• India
• Japan
• Rest of Asia-Pacific
RoW
• Latin America
• Middle East & Africa

Research objectives:-
• Highlights Big Data in the Automotive Market hereby allowing organizations to gain revenues by focusing majorly on select products
• To understand the structure of the Big Data in the Automotive market by identifying its various sub-segments.
• Focuses on major Industry players of Big Data in the Automotive to identify, describe and evaluate the quantity of sales, value, market share, competitive landscape market, SWOT analysis, and growth plans in the coming years.
• To analyze the Big Data in the Automotive with respect to individual growth trends, future prospects, and their contribution to the total market.
• To share detailed information about the key factors influencing the growth of the Big Data in the Automotive market (growth potential, opportunities, drivers, industry-specific challenges and risks).

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Major Points - Table Of Contents 1. Introduction

2. Research Methodology

3. Executive Summary

4. industry Overview

5. Industry Trends

6. Global Big Data in the Automotive Industry, By Components

7. Global Big Data in the Automotive Industry, By Technology

8. Global Big Data in the Automotive Industry, By Application

9. Geographical Analysis

10 Company Profiles

11. Competitive Analysis

12. Appendix

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