Published :
Tables : 43
Figures : 48
Category : Automotive
No. of Pages : 235
Report Code : ASV1017
Big Data in the Automotive Industry Introduction: The latest published market intelligence report by FutureWise titled 'Big Data in the Automotive Industry: Global Opportunity Analysis and Industry Forecast, 2020-2027', examines the global market in terms of the Big Data Value Chain, Hardware Providers, Storage & Compute Infrastructure Providers, Networking Infrastructure Providers, Professional Services Providers, End-to-End Solution Providers, and Regions for the period 2020 to 2027. This market intelligence report offers a comprehensive assessment of Big Data in the automotive industry including, factors boosting market growth, market barriers, application areas, investment potential, case studies, value chain analysis, future roadmap, major market players profiles and strategies. The study further offers market size predictions for Big Data software, hardware and professional services investments from 2020 to 2027 Incipiently used as a phrase to explain datasets whose size is surpassing the capacity of conventional databases, the extent of Big Data has notably increased over the years. Big Data doesnt only applies to the data itself but also a set of technologies that capture, manage, store, and examine large and variable quantities of data, to resolve complicated problems. Between the conception of real-time and historical data from sources such as web, sensors connected devices, social media, log files and applications, Big Data is quickly obtaining traction from a various range of industries. The automotive industry has quickly adopted this trend where Big Data has uncovered a multitude of applications varying from manufacturing, product design to autonomous driving and predictive vehicle maintenance. Big Data in the Automotive Industry Segmentation Business Case & Applications Automotive Industry Case Studies Future Roadmap & Value Chain Market Sizing & Forecasts By Region North America Latin America Europe Asia Pacific Rest of the World 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
The latest published market intelligence report by FutureWise titled 'Big Data in the Automotive Industry: Global Opportunity Analysis and Industry Forecast, 2020-2027', examines the global market in terms of the Big Data Value Chain, Hardware Providers, Storage & Compute Infrastructure Providers, Networking Infrastructure Providers, Professional Services Providers, End-to-End Solution Providers, and Regions for the period 2020 to 2027.
This market intelligence report offers a comprehensive assessment of Big Data in the automotive industry including, factors boosting market growth, market barriers, application areas, investment potential, case studies, value chain analysis, future roadmap, major market players profiles and strategies. The study further offers market size predictions for Big Data software, hardware and professional services investments from 2020 to 2027
Incipiently used as a phrase to explain datasets whose size is surpassing the capacity of conventional databases, the extent of Big Data has notably increased over the years. Big Data doesnt only applies to the data itself but also a set of technologies that capture, manage, store, and examine large and variable quantities of data, to resolve complicated problems.
Between the conception of real-time and historical data from sources such as web, sensors connected devices, social media, log files and applications, Big Data is quickly obtaining traction from a various range of industries. The automotive industry has quickly adopted this trend where Big Data has uncovered a multitude of applications varying from manufacturing, product design to autonomous driving and predictive vehicle maintenance. Big Data in the Automotive Industry Segmentation
Business Case & Applications
Competitive Landscape:
FutureWise Key Takeaways
Objectives of the Study:
Introduction Overview of Big Data What is Big Data Key Approaches to Big Data Processing Key Characteristics of Big Data Market Growth Drivers Market Barriers Big Data Analytics 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 Overview & Investment Potential Industry Specific Market Growth Drivers Industry Specific Market Barriers Key Applications Third Party Monetization Other Applications Automotive Industry Case Studies 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 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 China India Japan South Korea Rest of Asia Pacific Europe Germany France Italy UK Turkey Rest of Europe North America US Canada Mexico Rest of the World (RoW) Brazil Russia Competitive Landscape Overview Market Ranking Analysis Competitive Scenario New Product Developments Collaborations Acquisitions Expansions
Introduction
Overview of Big Data
Big Data Analytics
Business Case & Applications in the Automotive Industry
Automotive Industry Case Studies
Future Roadmap & Value Chain
Standardization & Regulatory Initiatives Market Sizing & Forecasts Regions Covered
Asia Pacific
Europe
North America
Competitive Landscape
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Excel Dataset
Infographics
PDF Report
Market Overview
PowerPoint Presentation
Consumer Perception and Procurement
Competitive Analysis
What’s Next
Market Data Forecast
Risks and Opportunity Assessment
Market Trends and Dynamics