Global Big Data in Automotive Industry Market – Forecast and Analysis (2020-2027), by Component, Application, and by Region.

Global Big Data in Automotive Industry Market size is expected to reach US$ 9.9 Bn by 2027, at a CAGR of 16.88% during the forecast period. Global Big Data in Automotive Industry Market To know about the Research Methodology :- Request Free Sample Report The report covers an in-depth analysis of COVID-19 pandemic impact on Global Big Data in Automotive Industry Market by region and on the key players revenue affected till July 2020 and expected short term and long-term impact on the market.

Global Big Data in Automotive Industry Market Dynamics:

The use of advanced analytical techniques against very broad, varied data sets, including structured, semi-structured and unstructured data, from various sources and from terabytes to zettabytes in different sizes, is the use of big data analytics. Big Data in Automotive Industry is capable of processing and interpret data from other software in an acceptable manner to streamline the business processes. Big data refers to data sets whose size or form is beyond conventional relational databases' ability to capture, handle and process low latency data. Big data has one or more of the following features: high volume, high speed or high range via new ways and data sources, artificial intelligence (AI), mobile, social and Internet of Things (IoT) drive data complexity. Automotive manufacturers are motivated mainly by increased competition and the explosion of knowledge. For conventional analytics and database systems, the complexity and scalability of diverse data poses a challenge. The standard has been the real-time processing of big data, using the cloud as an enabler. The automotive industry faces fierce competition, and in this dynamic environment, novel technologies are a must to survive. To achieve competitive advantage over others, companies need to update annually. Big data provides automotive companies with the opportunity to be a step ahead of those in the automotive industry. As opposed to other competitive companies in the industry, big data and analytics offer auto-financing companies an upper hand. Moreover, as it is the cornerstone of all technology and is also set to change the driving experience, big data and analytics is now a very important part of the car industry. All information is centrally collected and evaluated to understand which equipment works best in which environment. This helps companies to refine and decrease latency in how the equipment is used. Big data in the automotive industry is also supposed to be driven by organisations' need to achieve operational efficiencies. Global Big Data in Automotive Industry Market is segmented by component, application, and by region. By component, solution is anticipated to account for a major share during the forecast period in 2019 and is expected to keep its dominance over the forecast period owing to the rising analysis of raw data into streamlined process across the organizations. Data collection is the leading segment among the solutions owing to the variations between the derived business process and optimal processes can be diagnosed and illustrated and visualised. By Application, Supply Chain Management segment held the highest market share in 2019 and is expected to keep its dominance over the forecast period because it enables the automotive manufacturing industry to obtain data from ERP systems in order to integrate data from various business functional units and supply chain representatives. By geography, global Big Data in Automotive Industry market is segmented into North America, APAC, Europe, ME & Africa, and Latin America. Among these, Europe held the highest market share of xx% in 2019 and is expected to keep its dominance over the forecast period owing to widespread acceptance of innovations and the upcoming analytics technology among the large numbers of vendors operating in the region. Several European countries are also integrating process analytics tools into their current analytics portfolio to receive fast and actionable executive insights to keep pace with their analytical-driven rivals in other regions. Report covers in-depth analysis of key development, marketing strategies, supply-side and demand side indicators and company profiles of market leaders, potential players, and new entrants. Key players operating in this market are adopting various organic and inorganic growth strategies such as merger & acquisitions, joint ventures, collaborations, expansion, new product launches and patents to increase their regional presence and business operations. The objective of the report is to present a comprehensive analysis of the Global Big Data in Automotive Industry Market including all the stakeholders of the industry. The past and current status of the industry with forecasted market size and trends are presented in the report with the analysis of complicated data in simple language. The report covers all the aspects of the industry with a dedicated study of key players that includes market leaders, followers and new entrants. PORTER, SVOR, PESTEL analysis with the potential impact of micro-economic factors of the market have been presented in the report. External as well as internal factors that are supposed to affect the business positively or negatively have been analysed, which will give a clear futuristic view of the industry to the decision-makers. The report also helps in understanding Global Big Data in Automotive Industry Market dynamics, structure by analyzing the market segments and project Global Big Data in Automotive Industry Market Clear representation of competitive analysis of key players by price, financial position, Product portfolio, growth strategies, and regional presence in the Global Big Data in Automotive Industry Market the report investor’s guide.

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Global Big Data in Automotive Industry Market, by Component

• Solution o Data analytics o Data Collection o Data Discovery & Visualization o Data Management • Services o Integration o Support & Maintenance o Consulting

Global Big Data in Automotive Industry Market, by Application

• Product Development • Supply Chain Management • Aftermarket • Connected Vehicles & Intelligent Transportation • Manufacturing • Others

Global Big Data in Automotive Industry Market, by Region

• North America • APAC • Europe • ME & Africa • South America

Global Big Data in Automotive Industry Market Major Players

• Accenture • Adobe • ALLERIN TECH PVT LTD • Auriga, Inc. • Capgemini • Dataiku • Deloitte Touche Tohmatsu Limited • DXC Technology • Happiest Minds • HCL Technologies Limited • IBM Corporation • Infosys Limited • LHP Engineering Solutions • Mu Sigma • Oracle Corporation • Reply • SAS Institute Inc. • Telefonaktiebolaget LM Ericsson
Global Big Data in Automotive Industry Market 1. Preface 1.1. Report Scope and Market Segmentation 1.2. Research Highlights 1.3. Research Objectives 2. Assumptions and Research Methodology 2.1. Report Assumptions 2.2. Abbreviations 2.3. Research Methodology 2.3.1. Secondary Research 2.3.1.1. Secondary data 2.3.1.2. Secondary Sources 2.3.2. Primary Research 2.3.2.1. Data from Primary Sources 2.3.2.2. Breakdown of Primary Sources 3. Executive Summary: Global Big Data in Automotive Industry Market Size, by Market Value (US$ Mn) 4. Market Overview 4.1. Introduction 4.2. Market Indicator 4.2.1. Drivers 4.2.2. Restraints 4.2.3. Opportunities 4.2.4. Challenges 4.3. Porter’s Analysis 4.4. Value Chain Analysis 4.5. Market Risk Analysis 4.6. SWOT Analysis 4.7. Industry Trends and Emerging Technologies 5. Supply Side and Demand Side Indicators 6. Global Big Data in Automotive Industry Market Analysis and Forecast 7. Global Big Data in Automotive Industry Market Analysis and Forecast, by Component 7.1. Introduction and Definition 7.2. Key Findings 7.3. Global Big Data in Automotive Industry Market Value Share Analysis, by Component 7.4. Global Big Data in Automotive Industry Market Size (US$ Mn) Forecast, by Component 7.5. Global Big Data in Automotive Industry Market Analysis, by Component 7.6. Global Big Data in Automotive Industry Market Attractiveness Analysis, by Component 8. Global Big Data in Automotive Industry Market Analysis and Forecast, by Application 8.1. Introduction and Definition 8.2. Key Findings 8.3. Global Big Data in Automotive Industry Market Value Share Analysis, by Application 8.4. Global Big Data in Automotive Industry Market Size (US$ Mn) Forecast, by Application 8.5. Global Big Data in Automotive Industry Market Analysis, by Application 8.6. Global Big Data in Automotive Industry Market Attractiveness Analysis, by Application 9. Global Big Data in Automotive Industry Market Analysis and Forecast, by Region 9.1. Introduction and Definition 9.2. Key Findings 9.3. Global Big Data in Automotive Industry Market Value Share Analysis, by Region 9.4. Global Big Data in Automotive Industry Market Size (US$ Mn) Forecast, by Region 9.5. Global Big Data in Automotive Industry Market Analysis, by Region 10. Global Big Data in Automotive Industry Market Analysis 10.1. Key Findings 10.2. Global Big Data in Automotive Industry Market Overview 10.3. Global Big Data in Automotive Industry Market Forecast, by Component 10.3.1. Solution 10.3.1.1. Data analytics 10.3.1.2. Data Collection 10.3.1.3. Data Discovery & Visualization 10.3.1.4. Data Management 10.3.2. Services 10.3.2.1. Integration 10.3.2.2. Support & Maintenance 10.3.2.3. Consulting 10.4. Global Big Data in Automotive Industry Market Forecast, by Application 10.4.1. Product Development 10.4.2. Supply Chain Management 10.4.3. Aftermarket 10.4.4. Connected Vehicles & Intelligent Transportation 10.4.5. Manufacturing 10.4.6. Others 10.5. Global Big Data in Automotive Industry Market Forecast, by Region 10.5.1. North America 10.5.2. Europe 10.5.3. Asia-Pacific 10.5.4. ME & Africa 10.5.5. Latin America 10.6. PEST Analysis 10.7. Key Trends 10.8. Key Developments 11. North America Big Data in Automotive Industry Market Analysis 11.1. Key Findings 11.2. North America Big Data in Automotive Industry Market Forecast, by Component 11.2.1. Solution 11.2.1.1. Data analytics 11.2.1.2. Data Collection 11.2.1.3. Data Discovery & Visualization 11.2.1.4. Data Management 11.2.2. Services 11.2.2.1. Integration 11.2.2.2. Support & Maintenance 11.2.2.3. Consulting 11.3. North America Big Data in Automotive Industry Market Forecast, by Application 11.3.1. Product Development 11.3.2. Supply Chain Management 11.3.3. Aftermarket 11.3.4. Connected Vehicles & Intelligent Transportation 11.3.5. Manufacturing 11.3.6. Others 11.4. North America Big Data in Automotive Industry Market Forecast, by Country 11.4.1. US 11.4.2. Canada 11.5. US Big Data in Automotive Industry Market Forecast, by Component 11.5.1. Solution 11.5.1.1. Data analytics 11.5.1.2. Data Collection 11.5.1.3. Data Discovery & Visualization 11.5.1.4. Data Management 11.5.2. Services 11.5.2.1. Integration 11.5.2.2. Support & Maintenance 11.5.2.3. Consulting 11.6. US Big Data in Automotive Industry Market Forecast, by Application 11.6.1. Product Development 11.6.2. Supply Chain Management 11.6.3. Aftermarket 11.6.4. Connected Vehicles & Intelligent Transportation 11.6.5. Manufacturing 11.6.6. Others 11.7. Canada Big Data in Automotive Industry Market Forecast, by Component 11.7.1. Solution 11.7.1.1. Data analytics 11.7.1.2. Data Collection 11.7.1.3. Data Discovery & Visualization 11.7.1.4. Data Management 11.7.2. Services 11.7.2.1. Integration 11.7.2.2. Support & Maintenance 11.7.2.3. Consulting 11.8. Canada Big Data in Automotive Industry Market Forecast, by Application 11.8.1. Product Development 11.8.2. Supply Chain Management 11.8.3. Aftermarket 11.8.4. Connected Vehicles & Intelligent Transportation 11.8.5. Manufacturing 11.8.6. Others 11.9. PEST Analysis 11.10. Key Trends 11.11. Key Developments 12. Europe Big Data in Automotive Industry Market Analysis 12.1. Key Findings 12.2. Europe Big Data in Automotive Industry Market Overview 12.3. Europe Big Data in Automotive Industry Market Forecast, by Component 12.3.1. Solution 12.3.1.1. Data analytics 12.3.1.2. Data Collection 12.3.1.3. Data Discovery & Visualization 12.3.1.4. Data Management 12.3.2. Services 12.3.2.1. Integration 12.3.2.2. Support & Maintenance 12.3.2.3. Consulting 12.4. Europe Big Data in Automotive Industry Market Forecast, by Application 12.4.1. Product Development 12.4.2. Supply Chain Management 12.4.3. Aftermarket 12.4.4. Connected Vehicles & Intelligent Transportation 12.4.5. Manufacturing 12.4.6. Others 12.5. Europe Big Data in Automotive Industry Market Forecast, by Country 12.5.1. UK 12.5.2. France 12.5.3. Germany 12.5.4. Russia 12.5.5. Italy 12.5.6. Rest of Europe 12.6. UK Big Data in Automotive Industry Market Forecast, by Component 12.6.1. Solution 12.6.1.1. Data analytics 12.6.1.2. Data Collection 12.6.1.3. Data Discovery & Visualization 12.6.1.4. Data Management 12.6.2. Services 12.6.2.1. Integration 12.6.2.2. Support & Maintenance 12.6.2.3. Consulting 12.7. UK Big Data in Automotive Industry Market Forecast, by Application 12.7.1. Product Development 12.7.2. Supply Chain Management 12.7.3. Aftermarket 12.7.4. Connected Vehicles & Intelligent Transportation 12.7.5. Manufacturing 12.7.6. Others 12.8. France Big Data in Automotive Industry Market Forecast, by Component 12.8.1. Solution 12.8.1.1. Data analytics 12.8.1.2. Data Collection 12.8.1.3. Data Discovery & Visualization 12.8.1.4. Data Management 12.8.2. Services 12.8.2.1. Integration 12.8.2.2. Support & Maintenance 12.8.2.3. Consulting 12.9. France Big Data in Automotive Industry Market Forecast, by Application 12.9.1. Product Development 12.9.2. Supply Chain Management 12.9.3. Aftermarket 12.9.4. Connected Vehicles & Intelligent Transportation 12.9.5. Manufacturing 12.9.6. Others 12.10. Germany Big Data in Automotive Industry Market Forecast, by Component 12.10.1. Solution 12.10.1.1. Data analytics 12.10.1.2. Data Collection 12.10.1.3. Data Discovery & Visualization 12.10.1.4. Data Management 12.10.2. Services 12.10.2.1. Integration 12.10.2.2. Support & Maintenance 12.10.2.3. Consulting 12.11. Germany Big Data in Automotive Industry Market Forecast, by Application 12.11.1. Product Development 12.11.2. Supply Chain Management 12.11.3. Aftermarket 12.11.4. Connected Vehicles & Intelligent Transportation 12.11.5. Manufacturing 12.11.6. Others 12.12. Germany Big Data in Automotive Industry Market Forecast, by Organization Size 12.12.1. Large Enterprises 12.12.2. Small Medium Enterprises (SMEs) 12.13. Russia Big Data in Automotive Industry Market Forecast, by Component 12.13.1. Solution 12.13.1.1. Data analytics 12.13.1.2. Data Collection 12.13.1.3. Data Discovery & Visualization 12.13.1.4. Data Management 12.13.2. Services 12.13.2.1. Integration 12.13.2.2. Support & Maintenance 12.13.2.3. Consulting 12.14. Russia Big Data in Automotive Industry Market Forecast, by Application 12.14.1. Product Development 12.14.2. Supply Chain Management 12.14.3. Aftermarket 12.14.4. Connected Vehicles & Intelligent Transportation 12.14.5. Manufacturing 12.14.6. Others 12.15. Italy Big Data in Automotive Industry Market Forecast, by Component 12.15.1. Solution 12.15.1.1. Data analytics 12.15.1.2. Data Collection 12.15.1.3. Data Discovery & Visualization 12.15.1.4. Data Management 12.15.2. Services 12.15.2.1. Integration 12.15.2.2. Support & Maintenance 12.15.2.3. Consulting 12.16. Italy Big Data in Automotive Industry Market Forecast, by Application 12.16.1. Product Development 12.16.2. Supply Chain Management 12.16.3. Aftermarket 12.16.4. Connected Vehicles & Intelligent Transportation 12.16.5. Manufacturing 12.16.6. Others 12.17. Rest of Europe Big Data in Automotive Industry Market Forecast, by Component 12.17.1. Solution 12.17.1.1. Data analytics 12.17.1.2. Data Collection 12.17.1.3. Data Discovery & Visualization 12.17.1.4. Data Management 12.17.2. Services 12.17.2.1. Integration 12.17.2.2. Support & Maintenance 12.17.2.3. Consulting 12.18. Rest of Europe Big Data in Automotive Industry Market Forecast, by Application 12.18.1. Product Development 12.18.2. Supply Chain Management 12.18.3. Aftermarket 12.18.4. Connected Vehicles & Intelligent Transportation 12.18.5. Manufacturing 12.18.6. Others 12.19. PEST Analysis 12.20. Key Trends 12.21. Key Developments 13. Asia Pacific Big Data in Automotive Industry Market Analysis 13.1. Key Findings 13.2. Asia Pacific Big Data in Automotive Industry Market Overview 13.3. Asia Pacific Big Data in Automotive Industry Market Forecast, by Component 13.3.1. Solution 13.3.1.1. Data analytics 13.3.1.2. Data Collection 13.3.1.3. Data Discovery & Visualization 13.3.1.4. Data Management 13.3.2. Services 13.3.2.1. Integration 13.3.2.2. Support & Maintenance 13.3.2.3. Consulting 13.4. Asia Pacific Big Data in Automotive Industry Market Forecast, by Application 13.4.1. Product Development 13.4.2. Supply Chain Management 13.4.3. Aftermarket 13.4.4. Connected Vehicles & Intelligent Transportation 13.4.5. Manufacturing 13.4.6. Others 13.5. Asia Pacific Big Data in Automotive Industry Market Forecast, by Country 13.5.1. China 13.5.2. India 13.5.3. Japan 13.5.4. Malaysia 13.5.5. Indonesia 13.5.6. Rest of Asia-Pacific 13.6. China Big Data in Automotive Industry Market Forecast, by Component 13.6.1. Solution 13.6.1.1. Data analytics 13.6.1.2. Data Collection 13.6.1.3. Data Discovery & Visualization 13.6.1.4. Data Management 13.6.2. Services 13.6.2.1. Integration 13.6.2.2. Support & Maintenance 13.6.2.3. Consulting 13.7. China Big Data in Automotive Industry Market Forecast, by Application 13.7.1. Product Development 13.7.2. Supply Chain Management 13.7.3. Aftermarket 13.7.4. Connected Vehicles & Intelligent Transportation 13.7.5. Manufacturing 13.7.6. Others 13.8. India Big Data in Automotive Industry Market Forecast, by Component 13.8.1. Solution 13.8.1.1. Data analytics 13.8.1.2. Data Collection 13.8.1.3. Data Discovery & Visualization 13.8.1.4. Data Management 13.8.2. Services 13.8.2.1. Integration 13.8.2.2. Support & Maintenance 13.8.2.3. Consulting 13.9. India Big Data in Automotive Industry Market Forecast, by Application 13.9.1. Product Development 13.9.2. Supply Chain Management 13.9.3. Aftermarket 13.9.4. Connected Vehicles & Intelligent Transportation 13.9.5. Manufacturing 13.9.6. Others 13.10. Japan Big Data in Automotive Industry Market Forecast, by Component 13.10.1. Solution 13.10.1.1. Data analytics 13.10.1.2. Data Collection 13.10.1.3. Data Discovery & Visualization 13.10.1.4. Data Management 13.10.2. Services 13.10.2.1. Integration 13.10.2.2. Support & Maintenance 13.10.2.3. Consulting 13.11. Japan Big Data in Automotive Industry Market Forecast, by Application 13.11.1. Product Development 13.11.2. Supply Chain Management 13.11.3. Aftermarket 13.11.4. Connected Vehicles & Intelligent Transportation 13.11.5. Manufacturing 13.11.6. Others 13.12. Indonesia Big Data in Automotive Industry Market Forecast, by Component 13.12.1. Solution 13.12.1.1. Data analytics 13.12.1.2. Data Collection 13.12.1.3. Data Discovery & Visualization 13.12.1.4. Data Management 13.12.2. Services 13.12.2.1. Integration 13.12.2.2. Support & Maintenance 13.12.2.3. Consulting 13.13. Indonesia Big Data in Automotive Industry Market Forecast, by Application 13.13.1. Product Development 13.13.2. Supply Chain Management 13.13.3. Aftermarket 13.13.4. Connected Vehicles & Intelligent Transportation 13.13.5. Manufacturing 13.13.6. Others 13.14. Malaysia Big Data in Automotive Industry Market Forecast, by Component 13.14.1. Solution 13.14.1.1. Data analytics 13.14.1.2. Data Collection 13.14.1.3. Data Discovery & Visualization 13.14.1.4. Data Management 13.14.2. Services 13.14.2.1. Integration 13.14.2.2. Support & Maintenance 13.14.2.3. Consulting 13.15. Malaysia Big Data in Automotive Industry Market Forecast, by Application 13.15.1. Product Development 13.15.2. Supply Chain Management 13.15.3. Aftermarket 13.15.4. Connected Vehicles & Intelligent Transportation 13.15.5. Manufacturing 13.15.6. Others 13.16. Rest of Asia Pacific Big Data in Automotive Industry Market Forecast, by Component 13.16.1. Solution 13.16.1.1. Data analytics 13.16.1.2. Data Collection 13.16.1.3. Data Discovery & Visualization 13.16.1.4. Data Management 13.16.2. Services 13.16.2.1. Integration 13.16.2.2. Support & Maintenance 13.16.2.3. Consulting 13.17. Rest of Asia Pacific Big Data in Automotive Industry Market Forecast, by Application 13.17.1. Product Development 13.17.2. Supply Chain Management 13.17.3. Aftermarket 13.17.4. Connected Vehicles & Intelligent Transportation 13.17.5. Manufacturing 13.17.6. Others 13.18. PEST Analysis 13.19. Key Trends 13.20. Key Developments 14. ME & Africa Big Data in Automotive Industry Market Analysis 14.1. Key Findings 14.2. ME & Africa Big Data in Automotive Industry Market Overview 14.3. ME & Africa Big Data in Automotive Industry Market Forecast, by Component 14.3.1. Solution 14.3.1.1. Data analytics 14.3.1.2. Data Collection 14.3.1.3. Data Discovery & Visualization 14.3.1.4. Data Management 14.3.2. Services 14.3.2.1. Integration 14.3.2.2. Support & Maintenance 14.3.2.3. Consulting 14.4. ME & Africa Big Data in Automotive Industry Market Forecast, by Application 14.4.1. Product Development 14.4.2. Supply Chain Management 14.4.3. Aftermarket 14.4.4. Connected Vehicles & Intelligent Transportation 14.4.5. Manufacturing 14.4.6. Others 14.5. ME &Africa Big Data in Automotive Industry Market Forecast, by Country 14.5.1. GCC 14.5.2. South Africa 14.5.3. Rest of ME & Africa 14.6. GCC Big Data in Automotive Industry Market Forecast, by Component 14.6.1. Solution 14.6.1.1. Data analytics 14.6.1.2. Data Collection 14.6.1.3. Data Discovery & Visualization 14.6.1.4. Data Management 14.6.2. Services 14.6.2.1. Integration 14.6.2.2. Support & Maintenance 14.6.2.3. Consulting 14.7. GCC Big Data in Automotive Industry Market Forecast, by Application 14.7.1. Product Development 14.7.2. Supply Chain Management 14.7.3. Aftermarket 14.7.4. Connected Vehicles & Intelligent Transportation 14.7.5. Manufacturing 14.7.6. Others 14.8. South Africa Big Data in Automotive Industry Market Forecast, by Component 14.8.1. Solution 14.8.1.1. Data analytics 14.8.1.2. Data Collection 14.8.1.3. Data Discovery & Visualization 14.8.1.4. Data Management 14.8.2. Services 14.8.2.1. Integration 14.8.2.2. Support & Maintenance 14.8.2.3. Consulting 14.9. South Africa Big Data in Automotive Industry Market Forecast, by Application 14.9.1. Product Development 14.9.2. Supply Chain Management 14.9.3. Aftermarket 14.9.4. Connected Vehicles & Intelligent Transportation 14.9.5. Manufacturing 14.9.6. Others 14.10. Rest of ME &Africa Big Data in Automotive Industry Market Forecast, by Component 14.10.1. Solution 14.10.1.1. Data analytics 14.10.1.2. Data Collection 14.10.1.3. Data Discovery & Visualization 14.10.1.4. Data Management 14.10.2. Services 14.10.2.1. Integration 14.10.2.2. Support & Maintenance 14.10.2.3. Consulting 14.11. Rest of ME &Africa Big Data in Automotive Industry Market Forecast, by Application 14.11.1. Product Development 14.11.2. Supply Chain Management 14.11.3. Aftermarket 14.11.4. Connected Vehicles & Intelligent Transportation 14.11.5. Manufacturing 14.11.6. Others 14.12. PEST Analysis 14.13. Key Trends 14.14. Key Developments 15. Latin America Big Data in Automotive Industry Market Analysis 15.1. Key Findings 15.2. Latin America Big Data in Automotive Industry Market Overview 15.3. Latin America Big Data in Automotive Industry Market Forecast, by Component 15.3.1. Solution 15.3.1.1. Data analytics 15.3.1.2. Data Collection 15.3.1.3. Data Discovery & Visualization 15.3.1.4. Data Management 15.3.2. Services 15.3.2.1. Integration 15.3.2.2. Support & Maintenance 15.3.2.3. Consulting 15.4. Latin America Big Data in Automotive Industry Market Forecast, by Application 15.4.1. Product Development 15.4.2. Supply Chain Management 15.4.3. Aftermarket 15.4.4. Connected Vehicles & Intelligent Transportation 15.4.5. Manufacturing 15.4.6. Others 15.5. Latin America Big Data in Automotive Industry Market Forecast, by Country 15.5.1. Mexico 15.5.2. Brazil 15.5.3. Rest of Latin America 15.6. Mexico Big Data in Automotive Industry Market Forecast, by Component 15.6.1. Solution 15.6.1.1. Data analytics 15.6.1.2. Data Collection 15.6.1.3. Data Discovery & Visualization 15.6.1.4. Data Management 15.6.2. Services 15.6.2.1. Integration 15.6.2.2. Support & Maintenance 15.6.2.3. Consulting 15.7. Mexico Big Data in Automotive Industry Market Forecast, by Application 15.7.1. Product Development 15.7.2. Supply Chain Management 15.7.3. Aftermarket 15.7.4. Connected Vehicles & Intelligent Transportation 15.7.5. Manufacturing 15.7.6. Others 15.8. Brazil Big Data in Automotive Industry Market Forecast, by Component 15.8.1. Solution 15.8.1.1. Data analytics 15.8.1.2. Data Collection 15.8.1.3. Data Discovery & Visualization 15.8.1.4. Data Management 15.8.2. Services 15.8.2.1. Integration 15.8.2.2. Support & Maintenance 15.8.2.3. Consulting 15.9. Brazil Big Data in Automotive Industry Market Forecast, by Application 15.9.1. Product Development 15.9.2. Supply Chain Management 15.9.3. Aftermarket 15.9.4. Connected Vehicles & Intelligent Transportation 15.9.5. Manufacturing 15.9.6. Others 15.10. Rest of Latin America Big Data in Automotive Industry Market Forecast, by Component 15.10.1. Solution 15.10.1.1. Data analytics 15.10.1.2. Data Collection 15.10.1.3. Data Discovery & Visualization 15.10.1.4. Data Management 15.10.2. Services 15.10.2.1. Integration 15.10.2.2. Support & Maintenance 15.10.2.3. Consulting 15.11. Rest of Latin America Big Data in Automotive Industry Market Forecast, by Application 15.11.1. Product Development 15.11.2. Supply Chain Management 15.11.3. Aftermarket 15.11.4. Connected Vehicles & Intelligent Transportation 15.11.5. Manufacturing 15.11.6. Others 15.12. PEST Analysis 15.13. Key Trends 15.14. Key Developments 16. Company Profiles 16.1. Market Share Analysis, by Company 16.2. Market Share Analysis, by Region 16.3. Market Share Analysis, by Country 16.4. Competition Matrix 16.4.1. Competitive Benchmarking of key players by price, presence, market share, Raw material and R&D investment 16.4.2. New Raw material Launches and Raw material Enhancements 16.4.2.1. Market Consolidation 16.4.2.2. M&A by Regions, Investment and Raw material 16.4.2.3. M&A Key Players, Forward Integration and Backward Integration 16.5. Company Profiles: Key Players 16.5.1. Accenture 16.5.2. Adobe 16.5.3. ALLERIN TECH PVT LTD 16.5.4. Auriga, Inc. 16.5.5. Capgemini 16.5.6. Dataiku 16.5.7. Deloitte Touche Tohmatsu Limited 16.5.8. DXC Technology 16.5.9. Happiest Minds 16.5.10. HCL Technologies Limited 16.5.11. IBM Corporation 16.5.12. Infosys Limited 16.5.13. LHP Engineering Solutions 16.5.14. Mu Sigma 16.5.15. Oracle Corporation 16.5.16. Reply 16.5.17. SAS Institute Inc. 16.5.18. Telefonaktiebolaget LM Ericsson 17. Primary Key Insights.

About This Report

Report ID 78410
Category Information Technology & Telecommunication
Published Date November 2020
Updated Date
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