Analysts forecast the global automotive prognostics market to grow at a CAGR of 88.34% during the period 2018-2022.
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As a result, these stakeholders are drafting patents to protect the intellectual property, which are mostly focused on methods and systems on prognostics and also includes the development of sensors, hardware, and software that are required for prognostic applications.
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Main players are Covisint*, DataRPM, Hortonworks, National Instruments, OnStar, and Pivotal Software. According to the report, one of the major drivers for this market is Booming connected car market driving predictive maintenance demand.
The connected car concept includes voice notifications and alerts with visuals for functions like internet, GPS navigation, and information. It includes technologies that yield added benefits to the vehicle and makes them more comfortable and safer during long-distance traveling.
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Prognostics systems predict the time at which a component or system will no longer meet its desired performance. Hence, the prognostic system informs the user of the remaining useful life (RUL) of the component.
This report covers the present scenario and the growth prospects of the global automotive prognostics market for 2018-2022. To calculate the market size, the report considers the revenue generated from the automotive prognostics.
This report, Global Automotive Prognostics Market 2018-2022, has been prepared based on an in-depth market analysis with inputs from industry experts. The report covers the market landscape and its growth prospects over the coming years.
The report also includes a discussion of the key vendors operating in this market.
Table of Contents
PART 01: EXECUTIVE SUMMARY
PART 02: SCOPE OF THE REPORT
PART 03: RESEARCH METHODOLOGY
PART 04: MARKET LANDSCAPE
Market segmentation analysis
PART 05: MARKET SIZING
Market sizing 2017
Market size and forecast 2017-2022
PART 06: FIVE FORCES ANALYSIS
Bargaining power of buyers
Bargaining power of suppliers
Threat of new entrants
Threat of substitutes
Threat of rivalry
PART 07: MARKET SEGMENTATION BY TYPE OF INTERACTION
Segmentation by type of interaction
Comparison by type of interaction
Voice-based - Market size and forecast 2017-2022
Text-based - Market size and forecast 2017-2022
Social media-based - Market size and forecast 2017-2022
Market opportunity by type of interaction
PART 08: MARKET SEGMENTATION BY DEPLOYMENT
Segmentation by deployment
PART 09: CUSTOMER LANDSCAPE
PART 10: REGIONAL LANDSCAPE
Americas - Market size and forecast 2017-2022
EMEA - Market size and forecast 2017-2022
APAC - Market size and forecast 2017-2022
PART 11: DECISION FRAMEWORK
PART 12: DRIVERS AND CHALLENGES
PART 13: MARKET TRENDS
Integration of chatbots for better turnaround times
Use of analytics for enhancing the customer experience
Incorporation of AI for providing customized solutions
PART 14: VENDOR LANDSCAPE
PART 15: VENDOR ANALYSIS
Market positioning of vendors
PART 16: APPENDIX
List of abbreviations
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