Big Data Investments in Automotive Industry to Witness at Double Digit CAGR

  • 09 May 2019

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. 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 2026. 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.

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.

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, End-to-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   


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