Big Data in the Automotive Industry Global Trends, Market Share, Industry Size, Growth, Opportunities, and Market Forecast 2019 to 2030

Big Data in the Automotive Industry Global Trends, Market Share, Industry Size,
Growth, Opportunities, and Market Forecast 2019 to 2030
Modern vehicles are equipped with smartphone connectivity, sensors, vision
systems, onboard computing and real-time voice communication. Big Data leverages
this along with its innate capability to store and analyse historical as well as a realtime collection of data to counter complex glitches and hitches faced by the
automotive industry. Big data traction in the designing, manufacturing and
innovation amidst the automotive industry is attracting significant investments in
software, hardware and professional services from prominent automotive OEMs,
dealers, suppliers and insurers.
The industry experts are expecting this swooping proliferation of Big Data in the
automotive sector would promote double-digit growth in terms of market growth
percentage during the forecast tenure of 2019 to 2030. However, data security and
privacy would remain the number one issue and is expected to attract considerable
cybersecurity investment especially with growing connected car adoption during the
forecast period.
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Unique Automotive Industry Case Studies Pertaining to Big Data Application
1. Audi leveraged big data analytics for consistent brand perception
Audi caters to its existing and prospective customers with over 93 websites that run
on 40 different languages across the globe. They aimed at providing their website
visitors with a personalised relevant brand experience that engaged them with Audi
configurator, vehicle guides, dealer connects and current news. Adobe Marketing
cloud solution helped with the content management solution that would provide
flexibility to local web teams. The data for brand product content, marketing images
and customized yet maintained control over brand worldwide was possible due to
centralized digital asset management powered by big data analytics.
2. Jaguar Land Rover reduced time to deliver unique vehicle features by speeding
software validation
Jaguar could effectively maintain a superior range of features options and unique
demands of its customer by managing requirements and vehicle modelling systems
supported by IBM software that rely on Big Data. In order to increase cost-efficacy
and reduce time to market IBM could ensure full software validation in reduced time
for all possible permutations using Big Data analytics to save staff efforts and hours.
Insights on Big Data in Automotive, By Region
+ North America
+ Latin America
+ Europe
+ Asia Pacific
+ Rest of the World
North America leads in terms of technology adoption, existing automotive industry
penetration and rising vehicle insurance claims due to the number of accident cases.
Fleet management using Bigdata would promote defensive vehicle maintenance by
predicting problems beforehand. With Big data reconstruction, vehicle insurance
industry primarily in North America and the other regions is projected to benefit in
terms of connecting precise dots of an insurance claim for accident cases.
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Competitive Landscape:
+ Tier 1 players- established companies in the market with a major market share
+ Tier 2 players
+ Emerging players which are growing rapidly
+ New Entrants
+ Market Ranking Analysis
+ New Product Developments
+ Collaborations
+ Acquisitions
+ Expansions
FutureWise Key Takeaways
+ Growth prospects
+ SWOT analysis
+ Key trends
+ Key data-points affecting market growth
Objectives of the Study:
+ To provide comprehensive analysis on Big Data in automotive industry in terms of
Bid Data Value Chain, Hardware Providers, Storage & Compute Infrastructure
Providers, Networking Infrastructure Providers, Professional Services Providers, Endto-End Solution Providers, and Regions
+ To cater comprehensive information on factors impacting market growth (drivers,
restraints, opportunities, and industry-specific restraints)
+ To evaluate and forecast micro-markets and the overall market
+ To predict the market size, in key regions (along with countries)—North America,
Europe, Asia Pacific, Latin America, and the Middle East
+ To record evaluate and competitive landscape mapping- product launches,
technological advancements, mergers and expansions
+ Profiling of companies to evaluate their market shares, strategies, financials and
core competencies
Table of Contents
Introduction
Overview of Big Data
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What is Big Data
Key Approaches to Big Data Processing
Key Characteristics of Big Data
Market Growth Drivers
Market Barriers
Big Data Analytics
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What are Big Data Analytics
The Importance of Analytics
Reactive vs. Proactive Analytics
Customer vs. Operational Analytics
Technology & Implementation Approaches
Business Case & Applications in the Automotive Industry
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Overview & Investment Potential
Industry Specific Market Growth Drivers
Industry Specific Market Barriers
Key Applications
Third Party Monetization
Other Applications
Automotive Industry Case Studies
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Automotive OEMs
Audi: Facilitating Efficient Production Processes with Big Data
BMW: Eliminating Defects in New Vehicle Models with Big Data
Daimler: Ensuring Quality Assurance with Big Data
Dongfeng Motor Corporation: Enriching Network-Connected Autonomous Vehicles
with Big Data
Future Roadmap & Value Chain
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Future Roadmap
Pre-2020: Investments in Advanced Analytics for Vehicle-Related Services
2020 – 2025: Proliferation of Real-Time Edge Analytics & Automotive Data
Monetization
2025 – 2030: Towards Fully Autonomous Driving & Future IoT Applications
The Big Data Value Chain
Hardware Providers
Storage & Compute Infrastructure Providers
Networking Infrastructure Providers
Professional Services Providers
End-to-End Solution Providers
Automotive Industry
Standardization & Regulatory Initiatives
Market Sizing & Forecasts
Regions Covered
 Asia Pacific
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China
India
Japan
South Korea
Rest of Asia Pacific
 Europe
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Germany
France
Italy
UK
Turkey
Rest of Europe
 North America
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US
Canada
Mexico
Rest of the World (RoW)
Brazil
Russia
Competitive Landscape
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Overview
Market Ranking Analysis
Competitive Scenario
New Product Developments
Collaborations
Acquisitions
Expansions
Inquire further details about this report at: [email protected]
About FutureWise Research:
We specialise in high-growth niche markets, assuring flexibility, agility and
customised solutions for our clients. Through in-depth market insights and
consultancy, we present our clients with the tools they need to be at the forefront of
their industry – a position secured for far more than the near future.
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Modern vehicles are equipped with smartphone connectivity, sensors, vision systems, onboard computing and real-time voice communication. Big Data leverages this along with its innate capability to store and analyse historical as well as a real-time collection of data to counter complex glitches and hitches faced by the automotive industry.