New Study Of Big Data in the Automotive Industry: 2017 – 2030 – Opportunities, Challenges, Strategies & Forecasts

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Big Data

Big Data

“The Report Big Data in the Automotive Industry: 2017 – 2030 – Opportunities, Challenges, Strategies & Forecasts provides information on pricing, market analysis, shares, forecast, and company profiles for key industry participants. – MarketResearchReports.biz”

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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Amid the proliferation of real-time and historical data from sources such as connected devices, web, social media, sensors, log files and transactional applications, Big Data is rapidly gaining traction from a diverse range of vertical sectors. The automotive industry is no exception to this trend, where Big Data has found a host of applications ranging from product design and manufacturing to predictive vehicle maintenance and autonomous driving.

SNS Research estimates that Big Data investments in the automotive industry will account for over $2.8 Billion in 2017 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 12% over the next three years.

The “Big Data in the Automotive Industry: 2017 – 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 2017 through to 2030. The forecasts are segmented for 8 horizontal submarkets, 4 application areas, 18 use cases, 6 regions and 35 countries.

The report comes with an associated Excel datasheet suite covering quantitative data from all numeric forecasts presented in the report.

The report covers the following topics:

Big Data ecosystem

Market drivers and barriers

Enabling technologies, standardization and regulatory initiatives

Big Data analytics and implementation models

Business case, key applications and use cases in the automotive industry

30 case studies of Big Data investments by automotive OEMs and other stakeholders

Future roadmap and value chain

Company profiles and strategies of over 240 Big Data vendors

Strategic recommendations for Big Data vendors, automotive OEMs and other stakeholders

Market analysis and forecasts from 2017 till 2030

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Forecast Segmentation

Market forecasts are provided for each of the following submarkets and their subcategories:

Hardware, Software & Professional Services

Hardware

Software

Professional Services

Horizontal Submarkets

Storage & Compute Infrastructure

Networking Infrastructure

Hadoop & Infrastructure Software

SQL

NoSQL

Analytic Platforms & Applications

Cloud Platforms

Professional Services

Application Areas

Product Development, Manufacturing & Supply Chain

After-Sales, Warranty & Dealer Management

Connected Vehicles & Intelligent Transportation

Marketing, Sales & Other Applications

Use Cases

Supply Chain Management

Manufacturing

Product Design & Planning

Predictive Maintenance & Real-Time Diagnostics

Recall & Warranty Management

Parts Inventory & Pricing Optimization

Dealer Management & Customer Support Services

UBI (Usage-Based Insurance)

Autonomous & Semi-Autonomous Driving

Intelligent Transportation

Fleet Management

Driver Safety & Vehicle Cyber Security

In-Vehicle Experience, Navigation & Infotainment

Ride Sourcing, Sharing & Rentals

Marketing & Sales

Marketing & Sales

Customer Retention

Third Party Monetization

Other Use Cases

Regional Markets

Asia Pacific

Eastern Europe

Latin & Central America

Middle East & Africa

North America

Western Europe

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Country Markets

Argentina, Australia, Brazil, Canada, China, Czech Republic, Denmark, Finland, France, Germany, India, Indonesia, Israel, Italy, Japan, Malaysia, Mexico, Netherlands, Norway, Pakistan, Philippines, Poland, Qatar, Russia, Saudi Arabia, Singapore, South Africa, South Korea, Spain, Sweden, Taiwan, Thailand, UAE, UK, USA

Key Questions Answered

The report provides answers to the following key questions:

How big is the Big Data opportunity in the automotive industry?

How is the market evolving by segment and region?

What will the market size be in 2020 and at what rate will it grow?

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