Automotive Data Analytics Market By End-User 2023 | IndustryARC
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Automotive Data Analytics Market
Automotive Data Analytics Market: By End-User (OEM, After-Market & Insurance); By Type (Software, Services); By Deployment Type (Cloud & On-Premise); By Application (Sales & Marketing, Customer Behaviour & Management & Others) & By Geography - Forecast (2017-2023)
Report Code : ITR 0137
Published: 13 October, 2017   20% discount on this report
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  • Report Description
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Data analytics refers to the evaluation and analysis of the data obtained from the industry operations and surveys to gain insights and to drive business operations. Increasing number of automotive companies coupled with the increasing demand for connected vehicles has been elevating the demand for data analytics to gain and analyze the customer behaviour and projecting future demands. This strategy is being increasingly deployed by automotive manufacturers in order to sustain in competitive environment and to strengthen their footprint in the automotive sector.

Initially, data analytics was limited to sales and marketing but coming forth, it is being adopted in product development stage, manufacturing operations, logistics division and aftermarket services. In aftermarket services, data analytics is being used to analyze the pricing fluctuations, enhancing car features applications and so on. Increasing number of connected vehicles coupled with the development of advanced infotainment systems and emphasis to understand customer driving behaviour and preferences have been stimulating the demand for data analytics solutions. Automotive insurance companies offer an extensive adoption base for these analytics solutions from the past five years.

Automotive Data Analytics Market

Americas is projected to dominate the market in 2016 owing to the presence of large number of pioneer analytics companies who have been extensively providing analytics solutions to the automotive companies. Moreover, the adoption of analytics & connected vehicles is growing swiftly which led the region to be dominant in demand aspects for such solutions and is anticipated to continue its dominance over the forecast period. This is followed by Europe and Asia-Pacific regions that are also witnessing a brisk growth mainly in the aftermarket segment, largely attributed to the growing prospects of connected vehicles ecosystem.

The market has been categorized based on the channel into OEMs & after-market. On the basis of type, the market is segregated into software & services. By deployment type, the market is segmented into cloud deployment type & on-premise deployment type. On the basis of application, the market is categorized into sales and marketing analytics, operations analytics, diagnostics & maintenance analytics and customer behaviour and management analytics. 

In the report, forecast values for the automotive data analytics market are analyzed for the period 2017-2023.

Sample Companies profiled in this report are:
  • SAS Institute,
  • IBM Corporation,
  • Oracle Corporation,
  • Cisco, Inc.,
  • 10+.

Such companies have been profiled in the report providing product portfolio, financial and key developments snapshot along with strategy & SWOT analysis. This report also identifies the drivers and restrains for the market with detailed analysis of trends, opportunities and challenges.
1. Automotive Data Analytics - Market Overview
2. Executive Summary
3. Automotive Data Analytics - Market Landscape
   3.1. Market Share Analysis
   3.2. Comparative Analysis
      3.2.1. Services Benchmarking
      3.2.2. End-User profiling
      3.2.3. Patent Analysis
      3.2.4. Top 5 Financials Analysis
4. Automotive Data Analytics- Market Forces
   4.1. Market Drivers
      4.1.1. Increasing number of automotive after-market companies driving the adoption of analytics
      4.1.2. Increasing emphasis on comprehending the driver & customer behaviour to streamline automakers products and technologies offerings
      4.1.3. Rising number of stringent regulations with regards to product and component innovation
   4.2. Market Challenges & Constraints
      4.2.1. Rising number of stringent regulations with regards to product and component innovation
   4.3. Attractiveness of the Automotive Data Analytics Industry
      4.3.1. Bargaining Power of Suppliers
      4.3.2. Bargaining Power of Buyers
      4.3.3. Threat of New entrants
      4.3.4. Threat of Substitution
      4.3.5. Rivalry among the Competitors
5. Automotive Data Analytics Market - Strategic Analysis
   5.1. Value Chain Analysis
   5.2. Pricing Analysis
   5.3. Opportunities Analysis
      5.3.1. Increasing emergence of analytics deployment over cloud
   5.4. Product/Market Life Cycle Analysis
   5.5. Supplier and Distributor Analysis
6. Automotive Data Analytics Market - By Channel
   6.1. OEMs
   6.2. After-Market
   6.3. Insurance
7. Automotive Data Analytics Market - By Type
   7.1. Software
   7.2. Services
      7.2.1. Consulting Services
      7.2.2. System Integration Services
      7.2.3. Managed Services
8. Automotive Data Analytics Market - By Analytics Type
   8.1. Descriptive Analytics
   8.2. Predictive Analytics
   8.3. Prescriptive Analytics
9. Automotive Data Analytics Market - By Deployment Type
   9.1. Cloud
   9.2. On-Premise
10. Automotive Data Analytics Market - By Application
   10.1. Sales & Marketing 
   10.2. Customer Behaviour 
   10.3. Diagnostics & Maintenance (Automotive Performance Data) 
   10.4. Operational 
11. Automotive Data Analytics Market - By Geography
   11.1. Americas
      11.1.1. U.S.
      11.1.2. Canada
      11.1.3. Mexico
      11.1.4. Brazil
      11.1.5. Argentina
      11.1.6. Rest Of Americas
   11.2. Europe
      11.2.1. U.K.
      11.2.2. France
      11.2.3. Germany
      11.2.4. Italy
      11.2.5. Spain
      11.2.6. Rest Of Europe
   11.3. Asia Pacific
      11.3.1. China
      11.3.2. Japan
      11.3.3. India
      11.3.4. Rest Of APAC
   11.4. Row
      11.4.1. Middle East
      11.4.2. Africa
12. Automotive Data Analytics Market Entropy
   12.1. New Product Launches
   12.2. M&As, Collaborations, JVs and Partnerships
13. Company Profiles 
   13.1. SAS Institute, Inc.
   13.2. SAP SE
   13.3. IBM Corporation
   13.4. Oracle Corporation
   13.5. Google, Inc.
   13.6. Microsoft, Inc.
   13.7. Cisco, Inc.
   13.8. Fractal Analytics, Inc.
   13.9. Intel Corporation
   13.10. Capgemini SE
   13.11. Robert Bosch GmbH
*More than 10 Companies are profiled in this Research Report*
"*Financials would be provided on a best efforts basis for private companies"
14. Appendix
   14.1. Abbreviations
   14.2. Sources
   14.3. Research Methodology
   14.4. Bibliography
   14.5. Compilation of Expert Insights
   14.6. Disclaimer
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