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Predictive Analytics with Big Data in the Automotive Market 2018-2028

Predictive Analytics with Big Data in the Automotive Market 2018-2028

The rising number of connected vehicles and adoption of transportation predictive analytics has led Visiongain to publish this unique report, which may be crucial to your company’s improved success. The $370 million predictive analytics in automotive market is expected to flourish in the next few years because of the shift from BI to advanced analytics techniques and also because autonomous vehicles and the connected car technology are expected to feed through in the latter part of the decade driving growth to new heights. If you want to be part of this growing industry, then read on to discover how you can maximise your investment potential.

Report highlights

  • 142 quantitative tables, charts, and graphs
  • Analysis of key vendors of predictive analytics in the automotive sector
  • IBM
  • SAS
  • Dataiku
  • RapidMiner
  • automotiveMastermind
  • Profiles of key automotive OEMs involved in predictive analytics
  • BMW Group
  • Volvo Group
  • Toyota Motor Corporation
  • Daimler AG
  • Volkswagen group
  • General Motors Company
  • Ford Motor Company
  • Honda Motor Corporation
  • Hyundai Motor Corporation
  • Groupe Renault
  • Global predictive analytics in automotive sector market outlook and analysis from 2018-2028
  • Predictive analytics in automotive submarket forecasts and analysis from 2018-2028
  • Inventory Management Submarket by Region Forecast 2018-2028
  • Production Submarket by Region Forecast 2018-2028
  • Sales/Retail Submarket by Region Forecast 2018-2028
  • Maintenance Submarket by Region Forecast 2018-2028
  • Regional Predictive Analytics in Automotive Market Forecast 2018-2028
  • Americas Predictive Analytics in Automotive Market Forecast 2018-2028
  • EMEA Predictive Analytics in Automotive Market Forecast 2018-2028
  • APAC Predictive Analytics in Automotive Market Forecast 2018-2028
  • Qualitative analysis of factors influencing automotive predictive analytics market dynamics
  • SWOT analysis
  • Five forces analysis of the predictive analytics automotive market
  • Key developments of the predictive analytics automotive market
  • Market challenges in the predictive analytics automotive market
  • Trends in the predictive analytics automotive market
  • Market drivers in the predictive analytics automotive market
  • Key questions answered
  • What does the future hold for predictive analytics in the automotive industry?
  • Where should you target your business strategy?
  • Which predictive analytics in automotive applications should you focus upon?
  • Which disruptive predictive analytics automotive technologies should you invest in?
  • Which companies should you form strategic alliances with?
  • Which automotive company is likely to success and why?
  • What business models should you adopt?
  • What predictive analytics trends should you be aware of?
  • Target audience
  • Automobile manufacturers
  • Big data specialists
  • Technology companies
  • Software providers
  • Automotive retailers
  • Automobile research organisations
  • Connected car companies
  • Autonomous vehicle developers
  • Business intelligence companies
  • Component suppliers
  • Technologists
  • R&D staff
  • Consultants
  • Analysts
  • CEO’s
  • CIO’s
  • COO’s
  • Business development managers
  • Investors
  • Governments
  • Agencies
  • Industry organisations
  • Banks
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1. Report Overview
1.1 Overview of the Global Predictive Analytics Market in Automotive sector
1.2 Why You Should Read This Report
1.3 How This Report Delivers
1.4 Key Questions Answered by This Analytical Report Include:
1.5 Who is This Report For?
1.6 Methodology
1.6.1 Primary Research
1.6.2 Secondary Research
1.6.3 Market Evaluation & Forecasting Methodology
1.7 Frequently Asked Questions (FAQ)
1.8 Associated Visiongain Reports
1.9 About Visiongain
2. Introduction to the Predictive Analytics Automotive Market
2.1 Global Predictive Analytics Segmentation in Automotive Sector
2.2 Predictive Analytics Market Definition
2.3 Predictive Analytics Workflow
2.3.1 Identify the Problem
2.3.2 Collection of Data
2.3.3 Understanding The Data
2.3.4 Data Mining
2.3.5 Analysis
2.3.6 Insights
2.3.7 Statistics
2.3.8 Modelling
2.3.8 Deployment
2.4 Predictive Analytics Submarkets
2.4.1 Inventory Management
2.4.2 Production
2.4.3 Sales/Retail
2.4.4 Maintenance
2.5 How Predictive Analytics would transform the Automotive Industry?
3. Global Predictive Analytics in Automotive Market 2018 2028
3.1 Global Predictive Analytics in Automotive Market Forecast 2018-2028
4. Global Predictive Analytics in Automotive Submarket 2018 2028
4.1 Global Predictive Analytics in Automotive Submarket Forecast 2018-2028
4.2 Global Predictive Analytics in Automotive Submarket Regional Forecast 2018-2028
4.2.1 Inventory Management Submarket by Region Forecast 2018-2028
4.2.2 Production Submarket by Region Forecast 2018-2028
4.2.3 Sales/Retail Submarket by Region Forecast 2018-2028
4.2.4 Maintenance Submarket by Region Forecast 2018-2028
5. Regional Predictive Analytics in Automotive Market 2018 2028
5.1 Regional Predictive Analytics in Automotive Market Forecast 2018-2028
5.1.1 Americas Predictive Analytics in Automotive Market Forecast 2018-2028
5.1.2 EMEA Predictive Analytics in Automotive Market Forecast 2018-2028
5.1.3 APAC Predictive Analytics in Automotive Market Forecast 2018-2028
5.2 Regional Predictive Analytics in Automotive Submarket Forecast 2018-2028
5.2.1 Americas Predictive Analytics in Automotive Market Forecast 2018-2028
5.2.2 EMEA Predictive Analytics in Automotive Market Forecast 2018-2028
5.2.3 APAC Predictive Analytics in Automotive Market Forecast 2018-2028
6. Market Drivers in the Predictive Analytics Automotive Market
6.1 Use Of Big Data
6.2 Increased Competitive Strategies
6.3 Improve Customer Interaction
6.4 Growing Need for Safety
6.5 Rise in Connected Cars
6.6 Rise in IoT
6.7 Growth in Machine Learning
6.8 Support from Auto Insurance Sectors
7. Market Challenges in the Predictive Analytics Automotive Market
7.1 Lack of Expertise
7.2 Difficulty In Getting The Data And Its Validation
7.3 Managing Critical Business Demand
7.4 Time Consuming Process
7.5 Testing for Quality
8. Key Developments of the Predictive Analytics Automotive Market In 2017
9. SWOT Analysis of the Predictive Analytics Automotive Market 2018 – 2028
10. Five Forces Analysis of the Predictive Analytics Automotive Market 2018 – 2028
11. Trends in the Predictive Analytics Automotive Market
11.1 Rise in Telematics
11.2 Growth in Big Data Analytics Market
11.3 Growth of SaaS-Based Predictive Analytics
11.4 Emergence of Social Media Market
11.5 Moving Towards Cloud
11.6 Acquisition Of Automotive Analytics Software Companies
12. Leading Vendors in the Predictive Analytics Automotive Market
12.1 IBM
12.1.1 IBM Overview
12.1.2 IBM Latest Development in Predictive Analytics
12.1.3 IBM’s Capabilities in Predictive Analytics as whole
12.1.4 IBM Case Studies in Automotive Predictive Analytics Market
12.1.5 Recent Facts about IBM
12.2 SAS
12.2.1SAS Overview
12.2.2 SAS Latest Development in Predictive Analytics
12.2.3 SAS Capabilities in Predictive Analytics as whole
12.2.4 SAS Case Studies in Automotive Predictive Analytics Market
12.2.5 Recent Facts about SAS
12.3 Dataiku
12.3.1 Dataiku Overview
12.3.2 Dataiku Latest Development in Predictive Analytics
12.3.3 Dataiku Capabilities in Predictive Analytics as whole
12.3.4 Dataiku Case Studies in Automotive Predictive Analytics Market
12.4 Dataiku
12.4.1 RapidMiner Overview
12.4.2 RapidMiner Latest Development in Predictive Analytics
12.4.3 RapidMiner Capabilities in Predictive Analytics as whole
12.4.4 RapidMiner Case Studies in Automotive Predictive Analytics Market
12.4.5 Recent Facts about RapidMiner
12.5 automotiveMastermind
12.5.1 automotiveMastermind Overview
12.5.2 automotiveMastermind Latest Development in Predictive Analytics
12.5.3 automotiveMastermind Capabilities in Predictive Analytics as whole
12.5.4 automotiveMastermind Case Studies in Automotive Predictive Analytics Market
12.5.5 Recent Facts about automotiveMastermind
12.6 Other Predictive Analytics Vendors
13. Leading Automotive Companies Moving Towards Predictive Analytics
13.1 BMW Group
13.1.1 BMW Group Overview
13.1.2 BMW Financial Overview
13.1.3 BMW in the Predictive Analytics Market
13.2 Volvo Group
13.2.1 Volvo Group Overview
13.2.2 Volvo Financial Overview
13.2.3 Volvo in the Predictive Analytics Market
13.3 Toyota Motor Corporation
13.3.1 Toyota Motor Corporation Overview
13.3.2 Toyota Motor Corporation Financial Overview
13.3.3 Toyota Motor Corporation in the Predictive Analytics Market
13.4 Daimler AG
13.4.1 Daimler Overview
13.4.2 Daimler Financial Overview
13.4.3 Daimler in the Predictive Analytics Market
13.5 Volkswagen Group
13.5.1 Volkswagen Group Overview
13.5.2 Volkswagen Group Financial Overview
13.5.3 Volkswagen Group in the Predictive Analytics Market
13.6 General Motors Company
13.6.1 General Motors Company Overview
13.6.2 General Motors Company Financial Overview
13.6.3 General Motors Company in the Predictive Analytics Market
13.7 Ford Motor Company
13.7.1 Ford Motor Company Overview
13.7.2 Ford Motor Company Financial Overview
13.7.3 Ford Motor Company in the Predictive Analytics Market
13.8 Honda Motor Corporation
13.8.1 Honda Motor Corporation Overview
13.8.2 Honda Motor Corporation Financial Overview
13.8.3 Honda Motor Corporation in the Predictive Analytics Market
13.9 Hyundai Motor Corporation
13.9.1 Hyundai Motor Corporation Overview
13.9.2 Hyundai Motor Corporation Financial Overview
13.9.3 Hyundai Motor Corporation in the Predictive Analytics Market
13.10 Groupe Renault
13.10.1 Groupe Renault Overview
13.10.2 Groupe Renault Financial Overview
13.10.3 Renault Group in the Predictive Analytics Market
14. Data Privacy for Predictive Analytics
14.1 ACEA Principles of Data Protection
14.2 International Association of Privacy Professionals (IAPP) on Data Protection
15. Conclusions and Recommendations
15.1 Key Findings
15.2 Key Highlights
16. Glossary
List of Tables
Table 3.1 Global Predictive Analytics in Automotive Market 2018-2028 (US$ bn, Growth Rate %, CAGR %, Cumulative)
Table 4.1 Global Predictive Analytics in Automotive Submarket Forecast 2018-2028 (US$ bn, AGR %, CAGR%)
Table 4.2. Global Predictive Analytics in Automotive Inventory Management Submarket Forecast by Region 2018-2028 (US$ bn, AGR %, CAGR %)
Table 4.3 Global Predictive Analytics in Automotive Production Submarket Forecast By Region 2018-2028 (US$ bn, AGR %, CAGR %)
Table 4.4 Global Predictive Analytics in Automotive Sales/Retail Submarket Forecast By Region 2018-2028 (US$ bn, AGR %, CAGR %)
Table 4.5 Global Predictive Analytics in Automotive Maintenance Submarket Forecast By Region 2018-2028 (US$ bn, AGR %, CAGR %)
Table 5.1 Regional Predictive Analytics in Automotive Market Forecast 2018-2028 (US$ bn, AGR %, CAGR %)
Table 5.2 Americas Predictive Analytics in Automotive Market Forecast By Country 2018-2028 (US$ bn, AGR %, CAGR %)
Table 5.3 EMEA Predictive Analytics in Automotive Market Forecast By Region 2018-2028 (US$ bn, AGR %, CAGR %)
Table 5.4 APAC Predictive Analytics in Automotive Market Forecast By Country 2018-2028 (US$ bn, AGR %, CAGR %)
Table 5.5 Americas Predictive Analytics in Automotive Submarket Forecast 2018-2028 (US$ bn, AGR %, CAGR %)
Table 5.6 EMEA’s Predictive Analytics in Automotive Submarket Forecast 2018-2028 (US$ bn, AGR %, CAGR %)
Table 5.6 APAC’s Predictive Analytics in Automotive Submarket Forecast 2018-2028 (US$ bn, AGR %, CAGR %)
Table 8.1 Key Development of the Predictive Analytics Automotive Market In 2017
Table 9.1 Global Predictive Analytics Automotive Market SWOT Analysis 2018-2028
Table 12.1 IBM Overview (Company Revenue, Product Portfolio, HQ, Ticker, Employees, Website)
Table 12.2 IBM Client Case Study (Client Name, Website, Deployment Area, Headquarters, Software Used, Solution Provided)
Table 12.3 IBM client case study (Client name, website, deployment area, headquarters, software used, solution provided)
Table 12.4 IBM client case study (Client name, website, deployment area, headquarters, software used, solution provided)
Table 12.5 SAS Institute Inc. Overview (Company Revenue, Product Portfolio, HQ, Ticker, Employees, Website)
Table 12.6 SAS Client Case Study (Client Name, Website, Deployment Area, Headquarters, Software Used, Solution Provided)
Table 12.7 SAS Client Case Study (Client Name, Website, Deployment Area, Headquarters, Software Used, Solution Provided)
Table 12.8 Dataiku Overview (Company Revenue, Product Portfolio, HQ, Ticker, Employees, Website)
Table 12.9 Dataiku Client Case Study (Client Name, Website, Deployment Area, Headquarters, Software Used, Solution Provided)
Table 12.10 RapidMiner Overview (Company Revenue, Product Portfolio, HQ, Ticker, Employees, Website)
Table 12.11 automotiveMastermind Overview (Company Revenue, Product Portfolio, HQ, Ticker, Employees, Website)
Table 12.12 automotivemastermind Client Case Study (Client Name, Website, Deployment Area, Headquarters, Software Used, Solution Provided)
Table 12.13 Other Predictive Analytics Vendors (Company, Website and HQ)
Table 13.1 BMW Group Overview (Company Revenue, Product Portfolio, HQ, Ticker, Employees, Website)
Table 13.2 BMW Group Financials 2012 – 2016
Table 13.3 BMW Group Revenue for 2015 and 2016, by Geography
Table 13.4 BMW Group Latest News Related to Predictive Analytics
Table 13.5 Volvo Group Overview (Company Revenue, Product Portfolio, HQ, Ticker, Employees, Website)
Table 13.6 Volvo Group Financials 2012 – 2016
Table 13.7 Volvo Group Revenue for 2015 and 2016, by Geography
Table 13.8 Volvo Group Latest News Related to Predictive Analytics
Table 13.9 Toyota Motor Corporation Overview (Company Revenue, Product Portfolio, HQ, Ticker, Employees, Website)
Table 13.10 Toyota Motor Corporation Financials 2013 – 2017
Table 13.11 Toyota Motor Corporation 2017 and 2016 Revenue, by Geography
Table 13.12 Toyota Motor Corporation Latest News Related to Predictive Analytics
Table 13.13 Daimler’s Overview (Company Revenue, Product Portfolio, HQ, Ticker, Employees, Website)
Table 13.14 Daimler’s Financials 2012 – 2016
Table 13.15 Daimler’s Revenue for 2015 and 2016, by Geography
Table 13.16 Daimler’s Latest News Related to Predictive Analytics
Table 13.17 Volkswagen Group’s Overview (Company Revenue, Product Portfolio, HQ, Ticker, Employees, Website)
Table 13.18 Volkswagen Group’s Financials 2012 – 2016
Table 13.19 Volkswagen Group’s Revenue for 2015 and 2016, by Geography
Table 13.20 Volkswagen’s Latest News Related to Predictive Analytics
Table 13.21 General Motor Company Overview (Company Revenue, Product Portfolio, HQ, Ticker, Employees, Website)
Table 13.22 General Motor Company Financials 2012 – 2016
Table 13.23 General Motors Company Revenue for 2015 and 2016 by Geography
Table 13.24 General Motors Company Latest News Related to Predictive Analytics
Table 13.25 Ford Motor Company’s Overview (Company Revenue, Product Portfolio, HQ, Ticker, Employees, Website)
Table 13.26 Ford Motor Company’s Financials 2012 – 2016
Table 13.27 Ford Motor Company’s Revenue for 2015 and 2016, by Geography
Table 13.28 Ford Motor Company’s Latest News Related to Predictive Analytics
Table 13.29 Honda Motor Corporation Overview (Company Revenue, Product Portfolio, HQ, Ticker, Employees, Website)
Table 13.30 Honda Motor Corporation Financials 2013 – 2017
Table 13.31 Honda Motor Corporation Revenue for 2016 and 2017, by Geography
Table 13.32 Honda Motor Corporation Latest News Related to Predictive Analytics
Table 13.33 Hyundai Motor Corporation Overview (Company Revenue, Product Portfolio, HQ, Ticker, Employees, Website)
Table 13.34 Hyundai Motor Corporation Financials 2012 - 2016
Table 13.35 Hyundai Motor Corporation Revenue for 2015 and 2016, by Geography
Table 13.36 Hyundai Motor Corporation Latest News Related to Predictive Analytics
Table 13.37 Renault Group Overview (Company Revenue, Product Portfolio, HQ, Ticker, Employees, Website)
Table 13.38 Groupe Renault Financials 2012 – 2016
Table 13.39 Renault Group Latest News Related to Predictive Analytics
List of Figures
Figure 2.1 Global Predictive Analytics Segments
Figure 2.2 Big data and Predictive Analysis Process
Figure 2.3 Predictive Analytics Usage in Vehicle Processing Stage

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