Prognostics and Its Implication in NA and EU Commercial Vehicle Telematics, Forecast to 2025

Prognostics and Its Implication in NA and EU Commercial Vehicle Telematics, Forecast to 2025

The Total Prognostics Market in NA and EU Put Together is Expected to Experience a Compound Annual Growth Rate (CAGR) of 130.5% from 2018 to 2025

RELEASE DATE
16-Nov-2018
REGION
North America
Research Code: ME21-01-00-00-00
SKU: AU01736-NA-MR_22561

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Description

The Internet of Things (IoT) and Industry 4.0 are mega-trends that are rapidly changing the global trucking industry, with North America and Europe being at the helm of it. From curtailing road safety issues to improving diagnostics capabilities of fleets, these trends are making trucking a more effective business. By applying diagnostic and prognostic techniques to vehicle data, companies can reveal how vehicles and their systems are currently performing (diagnostics) and how they will perform in the future – will they be able to produce when they need to be (prognostics). Prognostics and Health Management/Monitoring (PHM) are methods to assess the health condition and reliability of systems for the purpose of maximising operational reliability and safety. In the commercial vehicle segment, PHM systems are useful for predictive maintenance, product improvement, warranty claim optimization, Over-the-air (OTA) updates, dealer optimization and so on. The usage of PHM systems will have an impact on trucks OEMs, Tier-1 Suppliers and fleet operators in terms of reducing unnecessary expenses and improving efficiency. However, establishing significant benefits for all value chain participants remains a challenge, as not all value chain participants have established the monetary benefits of converting unstructured data to useful information. Apart from this, there are some common challenges that the industry as a whole is facing. Challenges such as shortage of budget, poor connectivity, low quality and quantity of data, and lack of dedicated sensors are pulling back the implementation of PHM system currently. With storage of data getting cheaper, bandwidth ever-increasing and the cost of sensors steadily coming down whilst their ability is increasing, doing things with vehicle data beyond basic analytics is becoming increasingly viable and adoption of PHM system is expected to grow in the future. The prognostics market in NA and EU put together is expected to experience a compound annual growth rate (CAGR) of 130.5% between 2018 and 2025. The scope of PHM systems are currently restricted to tire, engine, transmission and emission. With electrification of trucks picking up pace, predictive maintenance, scheduling of battery recharge and replacement of batteries will drive the adoption of prognostics in the mid-term. The advent of autonomous trucks and platooning is expected to thrust the implementation of Artificial Intelligence and Machine Learning based prognostics in the long term.

Key Issues Addressed

  • What are the challenges that the CV industry is facing in adopting prognostics solutions?
  • What are the effects of prognostics and use cases for stake holders such as OEMs, Tier 1 Suppliers and Telematics providers?
  • What is the current status of stakeholders’ telematics based CV diagnostics solutions in North America and Europe?
  • By how much is the prognostics market expected to grow from 2018 to 2025?
  • What are the growth opportunities available for Prognostics solution developers in 2019 and what are the strategic imperatives to be taken?

Table of Contents

Key Findings

Fleet Manager Prognostics Technology Survey Summary

Integration of Remote and Prognostics Data

Importance of Prognostics in CV Industry

Challenges in Deploying Prognostics Systems in the Short term

The Paradigm Shift Towards Being Predictive

Research Scope

Research Methodology

Types of Prognostic Solutions

Components Monitored and Potential Failures

Maintenance Scheduling Strategies in CV Telematics

Evolution of Prognostic Solutions in Connected Trucks Ecosystem

Use Cases of Prognostics—Predictive Maintenance

Use Cases of Prognostics—SOTA and FOTA

Use Cases of Prognostics—Warranty Claim Optimization

Commercial Vehicle Prognostics Stakeholders

Prognostics Solution Providers Benchmarking

OEM Business Model Canvas

Tier-1 Supplier Business Model Canvas

Telematics Service Providers Business Model Canvas

Select Truck OEMs Diagnostics Solutions

Select Tier-1 Suppliers Diagnostics Solutions

Select TSPs and Analytics Companies Diagnostics Solutions

OEM—Navistar’s Predictive Maintenance Technology

Tier 1 Supplier—ZF’s Predictive Maintenance Technology

Analytics Company—Progress’ Predictive Maintenance Technology

Prognostics Installed Base—Forecasting

Segment Wise Contribution

Prognostics Packaging and Pricing Strategy

Prognostics Service Revenue Analysis

Growth Opportunity—Technology and Partnerships

Strategic Imperatives

The Last Word—3 Big Predictions

Legal Disclaimer

Abbreviations and Acronyms Used

Market Engineering Methodology

List of Exhibits

List of Figures
  • 1. Implications of Prognostics in Commercial Vehicle Telematics: Importance of Prognostics, EU & NA, 2018
  • 2. Implications of Prognostics in Commercial Vehicle Telematics: Research Scope, EU & NA, 2018
  • 3. Implications of Prognostics in Commercial Vehicle Telematics: Truck OEMs Diagnostics Solution, EU & NA, 2018
  • 4. Implications of Prognostics in Commercial Vehicle Telematics: Tier-1 Suppliers Diagnostics Solutions, EU & NA, 2018
  • 5. Implications of Prognostics in Commercial Vehicle Telematics: TSPs and Analytics Companies Diagnostics Solutions, EU & NA, 2018
List of Charts
  • 1. Implications of Prognostics in Commercial Vehicle Telematics: Key Findings, EU & NA, 2018
  • 2. Implications of Prognostics in Commercial Vehicle Telematics: Fleet Managers Survey, EU & NA, 2018
  • 3. Implications of Prognostics in Commercial Vehicle Telematics: Integration of Remote and Prognostics Data, EU & NA, 2018
  • 4. Implications of Prognostics in Commercial Vehicle Telematics: Challenges in Deploying Prognostics Systems, EU & NA, 2018
  • 5. Implications of Prognostics in Commercial Vehicle Telematics: The Paradigm Shift Towards Being Predictive, EU & NA, 2018
  • 6. Implications of Prognostics in Commercial Vehicle Telematics: Research Methodology, EU & NA, 2018
  • 7. Implications of Prognostics in Commercial Vehicle Telematics: Types of Prognostic Solutions, EU & NA, 2018
  • 8. Implications of Prognostics in Commercial Vehicle Telematics: Components Monitored, EU & NA, 2018
  • 9. Implications of Prognostics in Commercial Vehicle Telematics: Maintenance Scheduling Strategies in CV Telematics, EU & NA, 2018
  • 10. Implications of Prognostics in Commercial Vehicle Telematics: Evolution of Prognostics Solutions, EU & NA, 2019–2025
  • 11. Implications of Prognostics in Commercial Vehicle Telematics: Use Case of Prognostics—Predictive Maintenance, EU & NA, 2018
  • 12. Implications of Prognostics in Commercial Vehicle Telematics: Use Case of Prognostics—OTA Updates, EU & NA, 2018
  • 13. Implications of Prognostics in Commercial Vehicle Telematics: Use Case of Prognostics—Warranty Claim Optimization, EU & NA, 2018
  • 14. Implications of Prognostics in Commercial Vehicle Telematics: CV Prognostics Stakeholders, EU & NA, 2018
  • 15. Implications of Prognostics in Commercial Vehicle Telematics: Prognostics Solution Benchmarking, EU & NA, 2018
  • 16. Implications of Prognostics in Commercial Vehicle Telematics: OEM Business Model Canvas, EU & NA, 2018
  • 17. Implications of Prognostics in Commercial Vehicle Telematics: Tier-1 Supplier Business Model Canvas, EU & NA, 2018
  • 18. Implications of Prognostics in Commercial Vehicle Telematics: Telematics Service Providers Business Model Canvas, EU & NA, 2018
  • 19. Implications of Prognostics in Commercial Vehicle Telematics: Navistar’s Predictive Maintenance Technology, EU & NA, Pre- 2018–Post 2019
  • 20. Implications of Prognostics in Commercial Vehicle Telematics: ZF’s Predictive Maintenance Technology, EU & NA, 2018
  • 21. Implications of Prognostics in Commercial Vehicle Telematics: Progress’ Predictive Maintenance Technology, EU & NA, 2018
  • 22. Implications of Prognostics in Commercial Vehicle Telematics: Installed Base—Forecasting, EU & NA, 2018–2025
  • 23. Implications of Prognostics in Commercial Vehicle Telematics: Segment Wise Contribution, EU & NA, 2025
  • 24. Implications of Prognostics in Commercial Vehicle Telematics: Prognostics Packaging and Pricing Strategy, EU & NA, 2018
  • 25. Implications of Prognostics in Commercial Vehicle Telematics: Service Revenue Analysis, EU & NA, 2018–2025
Related Research
The Internet of Things (IoT) and Industry 4.0 are mega-trends that are rapidly changing the global trucking industry, with North America and Europe being at the helm of it. From curtailing road safety issues to improving diagnostics capabilities of fleets, these trends are making trucking a more effective business. By applying diagnostic and prognostic techniques to vehicle data, companies can reveal how vehicles and their systems are currently performing (diagnostics) and how they will perform in the future – will they be able to produce when they need to be (prognostics). Prognostics and Health Management/Monitoring (PHM) are methods to assess the health condition and reliability of systems for the purpose of maximising operational reliability and safety. In the commercial vehicle segment, PHM systems are useful for predictive maintenance, product improvement, warranty claim optimization, Over-the-air (OTA) updates, dealer optimization and so on. The usage of PHM systems will have an impact on trucks OEMs, Tier-1 Suppliers and fleet operators in terms of reducing unnecessary expenses and improving efficiency. However, establishing significant benefits for all value chain participants remains a challenge, as not all value chain participants have established the monetary benefits of converting unstructured data to useful information. Apart from this, there are some common challenges that the industry as a whole is facing. Challenges such as shortage of budget, poor connectivity, low quality and quantity of data, and lack of dedicated sensors are pulling back the implementation of PHM system currently. With storage of data getting cheaper, bandwidth ever-increasing and the cost of sensors steadily coming down whilst their ability is increasing, doing things with vehicle data beyond basic analytics is becoming increasingly viable and adoption of PHM system is expected to grow in the future. The prognostics market in NA and EU put together is expected to experience a c
More Information
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Table of Contents | Executive Summary~ || Key Findings~ || Fleet Manager Prognostics Technology Survey Summary~ || Integration of Remote and Prognostics Data~ || Importance of Prognostics in CV Industry~ || Challenges in Deploying Prognostics Systems in the Short term~ || The Paradigm Shift Towards Being Predictive~ | Research Scope, Definitions, and Methodology~ || Research Scope~ || Research Methodology~ | Prognostics and Its Use Cases~ || Types of Prognostic Solutions~ || Components Monitored and Potential Failures~ || Maintenance Scheduling Strategies in CV Telematics~ || Evolution of Prognostic Solutions in Connected Trucks Ecosystem~ || Use Cases of Prognostics—Predictive Maintenance~ || Use Cases of Prognostics—SOTA and FOTA~ || Use Cases of Prognostics—Warranty Claim Optimization~ | Commercial Vehicle Prognostics Ecosystem~ || Commercial Vehicle Prognostics Stakeholders~ || Prognostics Solution Providers Benchmarking~ || OEM Business Model Canvas~ || Tier-1 Supplier Business Model Canvas~ || Telematics Service Providers Business Model Canvas~ || Select Truck OEMs Diagnostics Solutions~ || Select Tier-1 Suppliers Diagnostics Solutions~ || Select TSPs and Analytics Companies Diagnostics Solutions~ | Case Studies~ || OEM—Navistar’s Predictive Maintenance Technology~ || Tier 1 Supplier—ZF’s Predictive Maintenance Technology~ || Analytics Company—Progress’ Predictive Maintenance Technology~ | Market Measurement and Market Analysis~ || Prognostics Installed Base—Forecasting~ || Segment Wise Contribution~ || Prognostics Packaging and Pricing Strategy~ || Prognostics Service Revenue Analysis~ | Growth Opportunities and Companies to Action~ || Growth Opportunity—Technology and Partnerships~ || Strategic Imperatives~ | Conclusion~ || The Last Word—3 Big Predictions~ || Legal Disclaimer~ | Appendix~ || Abbreviations and Acronyms Used~ || Market Engineering Methodology~ || List of Exhibits~
List of Charts and Figures 1. Implications of Prognostics in Commercial Vehicle Telematics: Importance of Prognostics, EU & NA, 2018 ~ 2. Implications of Prognostics in Commercial Vehicle Telematics: Research Scope, EU & NA, 2018 ~ 3. Implications of Prognostics in Commercial Vehicle Telematics: Truck OEMs Diagnostics Solution, EU & NA, 2018 ~ 4. Implications of Prognostics in Commercial Vehicle Telematics: Tier-1 Suppliers Diagnostics Solutions, EU & NA, 2018 ~ 5. Implications of Prognostics in Commercial Vehicle Telematics: TSPs and Analytics Companies Diagnostics Solutions, EU & NA, 2018 ~| 1. Implications of Prognostics in Commercial Vehicle Telematics: Key Findings, EU & NA, 2018~ 2. Implications of Prognostics in Commercial Vehicle Telematics: Fleet Managers Survey, EU & NA, 2018~ 3. Implications of Prognostics in Commercial Vehicle Telematics: Integration of Remote and Prognostics Data, EU & NA, 2018~ 4. Implications of Prognostics in Commercial Vehicle Telematics: Challenges in Deploying Prognostics Systems, EU & NA, 2018~ 5. Implications of Prognostics in Commercial Vehicle Telematics: The Paradigm Shift Towards Being Predictive, EU & NA, 2018~ 6. Implications of Prognostics in Commercial Vehicle Telematics: Research Methodology, EU & NA, 2018~ 7. Implications of Prognostics in Commercial Vehicle Telematics: Types of Prognostic Solutions, EU & NA, 2018~ 8. Implications of Prognostics in Commercial Vehicle Telematics: Components Monitored, EU & NA, 2018~ 9. Implications of Prognostics in Commercial Vehicle Telematics: Maintenance Scheduling Strategies in CV Telematics, EU & NA, 2018~ 10. Implications of Prognostics in Commercial Vehicle Telematics: Evolution of Prognostics Solutions, EU & NA, 2019–2025~ 11. Implications of Prognostics in Commercial Vehicle Telematics: Use Case of Prognostics—Predictive Maintenance, EU & NA, 2018~ 12. Implications of Prognostics in Commercial Vehicle Telematics: Use Case of Prognostics—OTA Updates, EU & NA, 2018~ 13. Implications of Prognostics in Commercial Vehicle Telematics: Use Case of Prognostics—Warranty Claim Optimization, EU & NA, 2018~ 14. Implications of Prognostics in Commercial Vehicle Telematics: CV Prognostics Stakeholders, EU & NA, 2018~ 15. Implications of Prognostics in Commercial Vehicle Telematics: Prognostics Solution Benchmarking, EU & NA, 2018~ 16. Implications of Prognostics in Commercial Vehicle Telematics: OEM Business Model Canvas, EU & NA, 2018~ 17. Implications of Prognostics in Commercial Vehicle Telematics: Tier-1 Supplier Business Model Canvas, EU & NA, 2018~ 18. Implications of Prognostics in Commercial Vehicle Telematics: Telematics Service Providers Business Model Canvas, EU & NA, 2018~ 19. Implications of Prognostics in Commercial Vehicle Telematics: Navistar’s Predictive Maintenance Technology, EU & NA, Pre- 2018–Post 2019~ 20. Implications of Prognostics in Commercial Vehicle Telematics: ZF’s Predictive Maintenance Technology, EU & NA, 2018~ 21. Implications of Prognostics in Commercial Vehicle Telematics: Progress’ Predictive Maintenance Technology, EU & NA, 2018~ 22. Implications of Prognostics in Commercial Vehicle Telematics: Installed Base—Forecasting, EU & NA, 2018–2025~ 23. Implications of Prognostics in Commercial Vehicle Telematics: Segment Wise Contribution, EU & NA, 2025~ 24. Implications of Prognostics in Commercial Vehicle Telematics: Prognostics Packaging and Pricing Strategy, EU & NA, 2018~ 25. Implications of Prognostics in Commercial Vehicle Telematics: Service Revenue Analysis, EU & NA, 2018–2025~
Author Sailesh Mohan
Industries Automotive
WIP Number ME21-01-00-00-00
Is Prebook No
GPS Codes 9800-A6,9807-A6,9813-A6,9B01-A6,9963-A6,9AF6-A6