Automotive Predictive Maintenance Market is expected to grow at a CAGR of 32.85% during the forecast period and is expected to reach US$ 2.81 Bn by 2029. The predictive maintenance currently exists a technique, which is used monitoring of the equipment in addition to devices. These methods allow the user to find the mechanical conditions of the machine and predict the failure of the machine. The report on automotive predictive maintenance covers all the trends in addition to technologies playing a major role in the growth of the automotive predictive maintenance market over the forecast period. The report highlights the opportunities, drivers and restraints expected to influence market growth during 2023-2029. Automotive predictive maintenance provides other important insights regarding the automotive part in addition to custom patterns. Predictive maintenance in automotive has the potential to offer cost-saving solutions to decrease expenses on maintenance. Internet of things (IoT) embedded computer systems help reduce repairs & improve vehicle safety outcomes, so that object over there vehicles or fleets currently can consistently operate.To know about the Research Methodology:-Request Free Sample Report The predictive maintenance programs currently are driven by consumers using cloud which aids them to collect in addition to managing vehicle data along with visualization in addition to analytics tools to make well decisions. Most of the IoT analytics tools have characteristics tremendously enjoy real-time IoT big data visual exploration, instant visual event trending snapshots in addition to key performance indicators insights, visualization of life in addition to historical data apps mashed with IoT data in addition to dashboards which users currently can assemble in addition to share. The report provides insights such as a detailed study of different segments in which voltage, material, end-user are changing the facts and making a dynamic automotive predictive maintenance market around the world. The embedded deployment sub-segment based on deployment is expected to account for a major xx% share of the market by 2026 because the new vehicles sold currently are fitted with embedded connectivity systems. The embedded type predictive maintenance system currently exists more expensive than the smartphone app type system; however, it supports more functions and hence, the embedded segment is expected to hold a major share of the market throughout the forecast period. Region-wise, The European market for automotive predictive maintenance used to exist estimated at US$ xx Mn in 2022, in addition to currently exists expected to increase at an impressive xx% value CAGR over the forecast period. This object over here currently can exist attributed to the region being a quick adopter of pollution control measures, which has impacted the way exhaust systems in vehicles currently are maintained. The application of automotive predictive maintenance in exhaust systems currently exists considered a key factor in the emergence of Europe just as a lucrative regional market in the global landscape. Automotive enterprises usage predictive maintenance to collect & monitor real-time data. The collected real-time data currently exists used for gaining insights into the vehicle in addition to engine parts. Such as, in July 2018, Presenso Company, is one of the providers of (ML) machine-learning-based solutions for predictive asset maintenance, announced a launch of its predictive maintenance solution which includes the latest advances in automated machine as well as deep learning technology (auto-ml). The objective of the report is to present comprehensive analysis of Global Automotive Predictive Maintenance 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 the all the aspects of industry with dedicated study of key players that includes market leaders, followers and new entrants by region. PORTER, SVOR, PESTEL analysis with the potential impact of micro-economic factors by region on 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 analyzed, which will give clear futuristic view of the industry to the decision makers. The report also helps in understanding Global Automotive Predictive Maintenance Market dynamics, structure by analyzing the market segments, and project the Global Automotive Predictive Maintenance Market size. Clear representation of competitive analysis of key players by type, price, financial position, product portfolio, growth strategies, and regional presence in the Global Automotive Predictive Maintenance Market make the report investor’s guide. The report study has analyzed revenue impact of covid-19 pandemic on the sales revenue of market leaders, market followers and disrupters in the report and same is reflected in our analysis.
Automotive Predictive Maintenance Market Scope: Inquire before buying
Automotive Predictive Maintenance Market Base Year 2022 Forecast Period 2023-2029 Historical Data CAGR Market Size in 2022 Market Size in 2029 2018 to 2022 32.85% US$ 0.38 Bn US$ 2.81 Bn Segments Covered by Deployment Embedded Smartphone app by Component Software Standalone Web-based Services Professional Managed by Application Engine Performance Exhaust System Transmission Function Structural Stability by End-Use Personal use Commercial use Regions Covered North America United States Canada Mexico Europe UK France Germany Italy Spain Sweden Austria Rest of Europe Asia Pacific China S Korea Japan India Australia Indonesia Malaysia Vietnam Taiwan Bangladesh Pakistan Rest of APAC Middle East and Africa South Africa GCC Egypt Nigeria Rest of ME&A South America Brazil Argentina Rest of South America Automotive Predictive Maintenance Market Key Players
1. Delphi Technologies 2. Siemens AG 3. HARMAN International 4. IBM Corporation 5. IMS 6. Robert Bosch GmbH 7. Rockwell Automation, Inc. 8. SAP SE 9. Teletrac Navman US Ltd 10.Microsoft Corporation 11.General Electric 12.Schneider Electric 13.Hitachi 14.Software AG 15.Engineering Consultants Group, Inc. 16.Expert Microsystems, Inc. 17.SparkCognition; C3.Ai Frequently Asked Questions: 1. Which region has the largest share in Global Automotive Predictive Maintenance Market? Ans: Europe region held the highest share in 2022. 2. What is the growth rate of Global Automotive Predictive Maintenance Market? Ans: The Global Automotive Predictive Maintenance Market is growing at a CAGR of 32.85% during forecasting period 2023-2029. 3. What is scope of the Global Automotive Predictive Maintenance Market report? Ans: Global Automotive Predictive Maintenance Market report helps with the PESTEL, PORTER, COVID-19 Impact analysis, Recommendations for Investors & Leaders, and market estimation of the forecast period. 4. Who are the key players in Global Automotive Predictive Maintenance Market? Ans: The important key players in the Global Automotive Predictive Maintenance Market are – Delphi Technologies, Siemens AG, HARMAN International, IBM Corporation, IMS, Robert Bosch GmbH, Rockwell Automation, Inc., SAP SE, Teletrac Navman US Ltd, Microsoft Corporation, General Electric, Schneider Electric, Hitachi, Software AG, Engineering Consultants Group, Inc., Expert Microsystems, Inc., and SparkCognition; C3.Ai 5. What is the study period of this Market? Ans: The Global Automotive Predictive Maintenance Market is studied from 2022 to 2029.
Automotive Predictive Maintenance 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: Automotive Predictive Maintenance Market Size, by Market Value (US$ Bn) 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. Automotive Predictive Maintenance Market Analysis and Forecast 6.1. Automotive Predictive Maintenance Market Size & Y-o-Y Growth Analysis 6.1.1. North America 6.1.2. Europe 6.1.3. Asia Pacific 6.1.4. Middle East & Africa 6.1.5. South America 7. Automotive Predictive Maintenance Market Analysis and Forecast, By Deployment 7.1. Introduction and Definition 7.2. Key Findings 7.3. Automotive Predictive Maintenance Market Value Share Analysis, By Deployment 7.4. Automotive Predictive Maintenance Market Size (US$ Bn) Forecast, By Deployment 7.5. Automotive Predictive Maintenance Market Analysis, By Deployment 7.6. Automotive Predictive Maintenance Market Attractiveness Analysis, By Deployment 8. Automotive Predictive Maintenance Market Analysis and Forecast, by End-user 8.1. Introduction and Definition 8.2. Key Findings 8.3. Automotive Predictive Maintenance Market Value Share Analysis, by End-user 8.4. Automotive Predictive Maintenance Market Size (US$ Bn) Forecast, by End-user 8.5. Automotive Predictive Maintenance Market Analysis, by End-user 8.6. Automotive Predictive Maintenance Market Attractiveness Analysis, by End-user 9. Automotive Predictive Maintenance Market Analysis and Forecast, By Application 9.1. Introduction and Definition 9.2. Key Findings 9.3. Automotive Predictive Maintenance Market Value Share Analysis, By Application 9.4. Automotive Predictive Maintenance Market Size (US$ Bn) Forecast, By Application 9.5. Automotive Predictive Maintenance Market Analysis, By Application 9.6. Automotive Predictive Maintenance Market Attractiveness Analysis, By Application 10. Automotive Predictive Maintenance Market Analysis and Forecast, by Component 10.1. Introduction and Definition 10.2. Key Findings 10.3. Automotive Predictive Maintenance Market Value Share Analysis, by Component 10.4. Automotive Predictive Maintenance Market Size (US$ Bn) Forecast, by Component 10.5. Automotive Predictive Maintenance Market Analysis, by Component 10.6. Automotive Predictive Maintenance Market Attractiveness Analysis, by Component 11. Automotive Predictive Maintenance Market Analysis, by Region 11.1. Automotive Predictive Maintenance Market Value Share Analysis, by Region 11.2. Automotive Predictive Maintenance Market Size (US$ Bn) Forecast, by Region 11.3. Automotive Predictive Maintenance Market Attractiveness Analysis, by Region 12. North America Automotive Predictive Maintenance Market Analysis 12.1. Key Findings 12.2. North America Automotive Predictive Maintenance Market Overview 12.3. North America Automotive Predictive Maintenance Market Value Share Analysis, By Deployment 12.4. North America Automotive Predictive Maintenance Market Forecast, By Deployment 12.4.1. Embedded 12.4.2. Cloud 12.5. North America Automotive Predictive Maintenance Market Value Share Analysis, by End-user 12.6. North America Automotive Predictive Maintenance Market Forecast, by End-user 12.6.1. Personal use 12.6.2. Commercial use 12.7. North America Automotive Predictive Maintenance Market Value Share Analysis, By Application 12.8. North America Automotive Predictive Maintenance Market Forecast, By Application 12.8.1. Engine Performance 12.8.2. Exhaust System 12.8.3. Transmission Function 12.8.4. Structural Stability (Acoustic, Vibration) 12.9. North America Automotive Predictive Maintenance Market Value Share Analysis, by Component 12.10. North America Automotive Predictive Maintenance Market Forecast, by Component 12.10.1. Software 12.10.1.1. Standalone 12.10.1.2. Web-based 12.10.2. Services 12.10.2.1. Professional 12.10.2.2. Managed 12.11. North America Automotive Predictive Maintenance Market Value Share Analysis, by Country 12.12. North America Automotive Predictive Maintenance Market Forecast, by Country 12.12.1. U.S. 12.12.2. Canada 12.13. North America Automotive Predictive Maintenance Market Analysis, by Country 12.14. U.S. Automotive Predictive Maintenance Market Forecast, By Deployment 12.14.1. Embedded 12.14.2. Cloud 12.15. U.S. Automotive Predictive Maintenance Market Forecast, by End-user 12.15.1. Personal use 12.15.2. Commercial use 12.16. U.S. Automotive Predictive Maintenance Market Forecast, By Application 12.16.1. Engine Performance 12.16.2. Exhaust System 12.16.3. Transmission Function 12.16.4. Structural Stability (Acoustic, Vibration) 12.17. U.S. Automotive Predictive Maintenance Market Forecast, by Component 12.17.1. Software 12.17.1.1. Standalone 12.17.1.2. Web-based 12.17.2. Services 12.17.2.1. Professional 12.17.2.2. Managed 12.18. Canada Automotive Predictive Maintenance Market Forecast, By Deployment 12.18.1. Embedded 12.18.2. Cloud 12.19. Canada Automotive Predictive Maintenance Market Forecast, by End-user 12.19.1. Personal use 12.19.2. Commercial use 12.20. Canada Automotive Predictive Maintenance Market Forecast, By Application 12.20.1. Engine Performance 12.20.2. Exhaust System 12.20.3. Transmission Function 12.20.4. Structural Stability (Acoustic, Vibration) 12.21. Canada Automotive Predictive Maintenance Market Forecast, by Component 12.21.1. Software 12.21.1.1. Standalone 12.21.1.2. Web-based 12.21.2. Services 12.21.2.1. Professional 12.21.2.2. Managed 12.22. North America Automotive Predictive Maintenance Market Attractiveness Analysis 12.22.1. By Deployment 12.22.2. By End-user 12.22.3. By Application 12.22.4. By Component 12.23. PEST Analysis 12.24. Key Trends 12.25. Key Developments 13. Europe Automotive Predictive Maintenance Market Analysis 13.1. Key Findings 13.2. Europe Automotive Predictive Maintenance Market Overview 13.3. Europe Automotive Predictive Maintenance Market Value Share Analysis, By Deployment 13.4. Europe Automotive Predictive Maintenance Market Forecast, By Deployment 13.4.1. Embedded 13.4.2. Cloud 13.5. Europe Automotive Predictive Maintenance Market Value Share Analysis, by End-user 13.6. Europe Automotive Predictive Maintenance Market Forecast, by End-user 13.6.1. Personal use 13.6.2. Commercial use 13.7. Europe Automotive Predictive Maintenance Market Value Share Analysis, By Application 13.8. Europe Automotive Predictive Maintenance Market Forecast, By Application 13.8.1. Engine Performance 13.8.2. Exhaust System 13.8.3. Transmission Function 13.8.4. Structural Stability (Acoustic, Vibration) 13.9. Europe Automotive Predictive Maintenance Market Value Share Analysis, by Component 13.10. Europe Automotive Predictive Maintenance Market Forecast, by Component 13.10.1. Software 13.10.1.1. Standalone 13.10.1.2. Web-based 13.10.2. Services 13.10.2.1. Professional 13.10.2.2. Managed 13.11. Europe Automotive Predictive Maintenance Market Value Share Analysis, by Country 13.12. Europe Automotive Predictive Maintenance Market Forecast, by Country 13.12.1. Germany 13.12.2. U.K. 13.12.3. France 13.12.4. Italy 13.12.5. Spain 13.12.6. Rest of Europe 13.13. Europe Automotive Predictive Maintenance Market Analysis, by Country 13.14. Germany Automotive Predictive Maintenance Market Forecast, By Deployment 13.14.1. Embedded 13.14.2. Cloud 13.15. Germany Automotive Predictive Maintenance Market Forecast, by End-user 13.15.1. Personal use 13.15.2. Commercial use 13.16. Germany Automotive Predictive Maintenance Market Forecast, By Application 13.16.1. Engine Performance 13.16.2. Exhaust System 13.16.3. Transmission Function 13.16.4. Structural Stability (Acoustic, Vibration) 13.17. Germany Automotive Predictive Maintenance Market Forecast, by Component 13.17.1. Software 13.17.1.1. Standalone 13.17.1.2. Web-based 13.17.2. Services 13.17.2.1. Professional 13.17.2.2. Managed 13.18. U.K. Automotive Predictive Maintenance Market Forecast, By Deployment 13.18.1. Embedded 13.18.2. Cloud 13.19. U.K. Automotive Predictive Maintenance Market Forecast, by End-user 13.19.1. Personal use 13.19.2. Commercial use 13.20. U.K. Automotive Predictive Maintenance Market Forecast, By Application 13.20.1. Engine Performance 13.20.2. Exhaust System 13.20.3. Transmission Function 13.20.4. Structural Stability (Acoustic, Vibration) 13.21. U.K. Automotive Predictive Maintenance Market Forecast, by Component 13.21.1. Software 13.21.1.1. Standalone 13.21.1.2. Web-based 13.21.2. Services 13.21.2.1. Professional 13.21.2.2. Managed 13.22. France Automotive Predictive Maintenance Market Forecast, By Deployment 13.22.1. Embedded 13.22.2. Cloud 13.23. France Automotive Predictive Maintenance Market Forecast, by End-user 13.23.1. Personal use 13.23.2. Commercial use 13.24. France Automotive Predictive Maintenance Market Forecast, By Application 13.24.1. Engine Performance 13.24.2. Exhaust System 13.24.3. Transmission Function 13.24.4. Structural Stability (Acoustic, Vibration) 13.25. France Automotive Predictive Maintenance Market Forecast, by Component 13.25.1. Software 13.25.1.1. Standalone 13.25.1.2. Web-based 13.25.2. Services 13.25.2.1. Professional 13.25.2.2. Managed 13.26. Italy Automotive Predictive Maintenance Market Forecast, By Deployment 13.26.1. Embedded 13.26.2. Cloud 13.27. Italy Automotive Predictive Maintenance Market Forecast, by End-user 13.27.1. Personal use 13.27.2. Commercial use 13.28. Italy Automotive Predictive Maintenance Market Forecast, By Application 13.28.1. Engine Performance 13.28.2. Exhaust System 13.28.3. Transmission Function 13.28.4. Structural Stability (Acoustic, Vibration) 13.29. Italy Automotive Predictive Maintenance Market Forecast, by Component 13.29.1. Software 13.29.1.1. Standalone 13.29.1.2. Web-based 13.29.2. Services 13.29.2.1. Professional 13.29.2.2. Managed 13.30. Spain Automotive Predictive Maintenance Market Forecast, By Deployment 13.30.1. Embedded 13.30.2. Cloud 13.31. Spain Automotive Predictive Maintenance Market Forecast, by End-user 13.31.1. Personal use 13.31.2. Commercial use 13.32. Spain Automotive Predictive Maintenance Market Forecast, By Application 13.32.1. Engine Performance 13.32.2. Exhaust System 13.32.3. Transmission Function 13.32.4. Structural Stability (Acoustic, Vibration) 13.33. Spain Automotive Predictive Maintenance Market Forecast, by Component 13.33.1. Software 13.33.1.1. Standalone 13.33.1.2. Web-based 13.33.2. Services 13.33.2.1. Professional 13.33.2.2. Managed 13.34. Rest of Europe Automotive Predictive Maintenance Market Forecast, By Deployment 13.34.1. Embedded 13.34.2. Cloud 13.35. Rest of Europe Automotive Predictive Maintenance Market Forecast, by End-user 13.35.1. Personal use 13.35.2. Commercial use 13.36. Rest of Europe Automotive Predictive Maintenance Market Forecast, By Application 13.36.1. Engine Performance 13.36.2. Exhaust System 13.36.3. Transmission Function 13.36.4. Structural Stability (Acoustic, Vibration) 13.37. Rest Of Europe Automotive Predictive Maintenance Market Forecast, by Component 13.37.1. Software 13.37.1.1. Standalone 13.37.1.2. Web-based 13.37.2. Services 13.37.2.1. Professional 13.37.2.2. Managed 13.38. Europe Automotive Predictive Maintenance Market Attractiveness Analysis 13.38.1. By Deployment 13.38.2. By End-user 13.38.3. By Application 13.38.4. By Component 13.39. PEST Analysis 13.40. Key Trends 13.41. Key Developments 14. Asia Pacific Automotive Predictive Maintenance Market Analysis 14.1. Key Findings 14.2. Asia Pacific Automotive Predictive Maintenance Market Overview 14.3. Asia Pacific Automotive Predictive Maintenance Market Value Share Analysis, By Deployment 14.4. Asia Pacific Automotive Predictive Maintenance Market Forecast, By Deployment 14.4.1. Embedded 14.4.2. Cloud 14.5. Asia Pacific Automotive Predictive Maintenance Market Value Share Analysis, by End-user 14.6. Asia Pacific Automotive Predictive Maintenance Market Forecast, by End-user 14.6.1. Personal use 14.6.2. Commercial use 14.7. Asia Pacific Automotive Predictive Maintenance Market Value Share Analysis, By Application 14.8. Asia Pacific Automotive Predictive Maintenance Market Forecast, By Application 14.8.1. Engine Performance 14.8.2. Exhaust System 14.8.3. Transmission Function 14.8.4. Structural Stability (Acoustic, Vibration) 14.9. Asia Pacific Automotive Predictive Maintenance Market Value Share Analysis, by Component 14.10. Asia Pacific Automotive Predictive Maintenance Market Forecast, by Component 14.10.1. Software 14.10.1.1. Standalone 14.10.1.2. Web-based 14.10.2. Services 14.10.2.1. Professional 14.10.2.2. Managed 14.11. Asia Pacific Automotive Predictive Maintenance Market Value Share Analysis, by Country 14.12. Asia Pacific Automotive Predictive Maintenance Market Forecast, by Country 14.12.1. China 14.12.2. India 14.12.3. Japan 14.12.4. ASEAN 14.12.5. Rest of Asia Pacific 14.13. Asia Pacific Automotive Predictive Maintenance Market Analysis, by Country 14.14. China Automotive Predictive Maintenance Market Forecast, By Deployment 14.14.1. Embedded 14.14.2. Cloud 14.15. China Automotive Predictive Maintenance Market Forecast, by End-user 14.15.1. Personal use 14.15.2. Commercial use 14.16. China Automotive Predictive Maintenance Market Forecast, By Application 14.16.1. Engine Performance 14.16.2. Exhaust System 14.16.3. Transmission Function 14.16.4. Structural Stability (Acoustic, Vibration) 14.17. China Automotive Predictive Maintenance Market Forecast, by Component 14.17.1. Software 14.17.1.1. Standalone 14.17.1.2. Web-based 14.17.2. Services 14.17.2.1. Professional 14.17.2.2. Managed 14.18. India Automotive Predictive Maintenance Market Forecast, By Deployment 14.18.1. Embedded 14.18.2. Cloud 14.19. India Automotive Predictive Maintenance Market Forecast, by End-user 14.19.1. Personal use 14.19.2. Commercial use 14.20. India Automotive Predictive Maintenance Market Forecast, By Application 14.20.1. Engine Performance 14.20.2. Exhaust System 14.20.3. Transmission Function 14.20.4. Structural Stability (Acoustic, Vibration) 14.21. India Automotive Predictive Maintenance Market Forecast, by Component 14.21.1. Software 14.21.1.1. Standalone 14.21.1.2. Web-based 14.21.2. Services 14.21.2.1. Professional 14.21.2.2. Managed 14.22. Japan Automotive Predictive Maintenance Market Forecast, By Deployment 14.22.1. Embedded 14.22.2. Cloud 14.23. Japan Automotive Predictive Maintenance Market Forecast, by End-user 14.23.1. Personal use 14.23.2. Commercial use 14.24. Japan Automotive Predictive Maintenance Market Forecast, By Application 14.24.1. Engine Performance 14.24.2. Exhaust System 14.24.3. Transmission Function 14.24.4. Structural Stability (Acoustic, Vibration) 14.25. Japan Automotive Predictive Maintenance Market Forecast, by Component 14.25.1. Software 14.25.1.1. Standalone 14.25.1.2. Web-based 14.25.2. Services 14.25.2.1. Professional 14.25.2.2. Managed 14.26. ASEAN Automotive Predictive Maintenance Market Forecast, By Deployment 14.26.1. Embedded 14.26.2. Cloud 14.27. ASEAN Automotive Predictive Maintenance Market Forecast, by End-user 14.27.1. Personal use 14.27.2. Commercial use 14.28. ASEAN Automotive Predictive Maintenance Market Forecast, By Application 14.28.1. Engine Performance 14.28.2. Exhaust System 14.28.3. Transmission Function 14.28.4. Structural Stability (Acoustic, Vibration) 14.29. ASEAN Automotive Predictive Maintenance Market Forecast, by Component 14.29.1. Software 14.29.1.1. Standalone 14.29.1.2. Web-based 14.29.2. Services 14.29.2.1. Professional 14.29.2.2. Managed 14.30. Rest of Asia Pacific Automotive Predictive Maintenance Market Forecast, By Deployment 14.30.1. Embedded 14.30.2. Cloud 14.31. Rest of Asia Pacific Automotive Predictive Maintenance Market Forecast, by End-user 14.31.1. Personal use 14.31.2. Commercial use 14.32. Rest of Asia Pacific Automotive Predictive Maintenance Market Forecast, By Application 14.32.1. Engine Performance 14.32.2. Exhaust System 14.32.3. Transmission Function 14.32.4. Structural Stability (Acoustic, Vibration) 14.33. Rest of Asia Pacific Automotive Predictive Maintenance Market Forecast, by Component 14.33.1. Software 14.33.1.1. Standalone 14.33.1.2. Web-based 14.33.2. Services 14.33.2.1. Professional 14.33.2.2. Managed 14.34. Asia Pacific Automotive Predictive Maintenance Market Attractiveness Analysis 14.34.1. By Deployment 14.34.2. By End-user 14.34.3. By Application 14.34.4. By Component 14.35. PEST Analysis 14.36. Key Trends 14.37. Key Developments 15. Middle East & Africa Automotive Predictive Maintenance Market Analysis 15.1. Key Findings 15.2. Middle East & Africa Automotive Predictive Maintenance Market Overview 15.3. Middle East & Africa Automotive Predictive Maintenance Market Value Share Analysis, By Deployment 15.4. Middle East & Africa Automotive Predictive Maintenance Market Forecast, By Deployment 15.4.1. Embedded 15.4.2. Cloud 15.5. Middle East & Africa Automotive Predictive Maintenance Market Value Share Analysis, by End-user 15.6. Middle East & Africa Automotive Predictive Maintenance Market Forecast, by End-user 15.6.1. Personal use 15.6.2. Commercial use 15.7. Middle East & Africa Automotive Predictive Maintenance Market Value Share Analysis, By Application 15.8. Middle East & Africa Automotive Predictive Maintenance Market Forecast, By Application 15.8.1. Engine Performance 15.8.2. Exhaust System 15.8.3. Transmission Function 15.8.4. Structural Stability (Acoustic, Vibration) 15.9. Middle East & Africa Automotive Predictive Maintenance Market Value Share Analysis, by Component 15.10. Middle East & Africa Automotive Predictive Maintenance Market Forecast, by Component 15.10.1. Software 15.10.1.1. Standalone 15.10.1.2. Web-based 15.10.2. Services 15.10.2.1. Professional 15.10.2.2. Managed 15.11. Middle East & Africa Automotive Predictive Maintenance Market Value Share Analysis, by Country 15.12. Middle East & Africa Automotive Predictive Maintenance Market Forecast, by Country 15.12.1. GCC 15.12.2. South Africa 15.12.3. Rest of Middle East & Africa 15.13. Middle East & Africa Automotive Predictive Maintenance Market Analysis, by Country 15.14. GCC Automotive Predictive Maintenance Market Forecast, By Deployment 15.14.1. Embedded 15.14.2. Cloud 15.15. GCC Automotive Predictive Maintenance Market Forecast, by End-user 15.15.1. Personal use 15.15.2. Commercial use 15.16. GCC Automotive Predictive Maintenance Market Forecast, By Application 15.16.1. Engine Performance 15.16.2. Exhaust System 15.16.3. Transmission Function 15.16.4. Structural Stability (Acoustic, Vibration) 15.17. GCC Automotive Predictive Maintenance Market Forecast, by Component 15.17.1. Software 15.17.1.1. Standalone 15.17.1.2. Web-based 15.17.2. Services 15.17.2.1. Professional 15.17.2.2. Managed 15.18. South Africa Automotive Predictive Maintenance Market Forecast, By Deployment 15.18.1. Embedded 15.18.2. Cloud 15.19. South Africa Automotive Predictive Maintenance Market Forecast, by End-user 15.19.1. Personal use 15.19.2. Commercial use 15.20. South Africa Automotive Predictive Maintenance Market Forecast, By Application 15.20.1. Engine Performance 15.20.2. Exhaust System 15.20.3. Transmission Function 15.20.4. Structural Stability (Acoustic, Vibration) 15.21. South Africa Automotive Predictive Maintenance Market Forecast, by Component 15.21.1. Software 15.21.1.1. Standalone 15.21.1.2. Web-based 15.21.2. Services 15.21.2.1. Professional 15.21.2.2. Managed 15.22. Rest of Middle East & Africa Automotive Predictive Maintenance Market Forecast, By Deployment 15.22.1. Embedded 15.22.2. Cloud 15.23. Rest of Middle East & Africa Automotive Predictive Maintenance Market Forecast, by End-user 15.23.1. Personal use 15.23.2. Commercial use 15.24. Rest of Middle East & Africa Automotive Predictive Maintenance Market Forecast, By Application 15.24.1. Engine Performance 15.24.2. Exhaust System 15.24.3. Transmission Function 15.24.4. Structural Stability (Acoustic, Vibration) 15.25. Rest of Middle East & Africa Automotive Predictive Maintenance Market Forecast, by Component 15.25.1. Software 15.25.1.1. Standalone 15.25.1.2. Web-based 15.25.2. Services 15.25.2.1. Professional 15.25.2.2. Managed 15.26. Middle East & Africa Automotive Predictive Maintenance Market Attractiveness Analysis 15.26.1. By Deployment 15.26.2. By End-user 15.26.3. By Application 15.26.4. By Component 15.27. PEST Analysis 15.28. Key Trends 15.29. Key Developments 16. South America Automotive Predictive Maintenance Market Analysis 16.1. Key Findings 16.2. South America Automotive Predictive Maintenance Market Overview 16.3. South America Automotive Predictive Maintenance Market Value Share Analysis, By Deployment 16.4. South America Automotive Predictive Maintenance Market Forecast, By Deployment 16.4.1. Embedded 16.4.2. Cloud 16.5. South America Automotive Predictive Maintenance Market Value Share Analysis, by End-user 16.6. South America Automotive Predictive Maintenance Market Forecast, by End-user 16.6.1. Personal use 16.6.2. Commercial use 16.7. South America Automotive Predictive Maintenance Market Value Share Analysis, By Application 16.8. South America Automotive Predictive Maintenance Market Forecast, By Application 16.8.1. Engine Performance 16.8.2. Exhaust System 16.8.3. Transmission Function 16.8.4. Structural Stability (Acoustic, Vibration) 16.9. South America Automotive Predictive Maintenance Market Value Share Analysis, by Component 16.10. South America Automotive Predictive Maintenance Market Forecast, by Component 16.10.1. Software 16.10.1.1. Standalone 16.10.1.2. Web-based 16.10.2. Services 16.10.2.1. Professional 16.10.2.2. Managed 16.11. South America Automotive Predictive Maintenance Market Value Share Analysis, by Country 16.12. South America Automotive Predictive Maintenance Market Forecast, by Country 16.12.1. Brazil 16.12.2. Mexico 16.12.3. Rest of South America 16.13. South America Automotive Predictive Maintenance Market Analysis, by Country 16.14. Brazil Automotive Predictive Maintenance Market Forecast, By Deployment 16.14.1. Embedded 16.14.2. Cloud 16.15. Brazil Automotive Predictive Maintenance Market Forecast, by End-user 16.15.1. Personal use 16.15.2. Commercial use 16.16. Brazil Automotive Predictive Maintenance Market Forecast, By Application 16.16.1. Engine Performance 16.16.2. Exhaust System 16.16.3. Transmission Function 16.16.4. Structural Stability (Acoustic, Vibration) 16.17. Brazil Automotive Predictive Maintenance Market Forecast, by Component 16.17.1. Software 16.17.1.1. Standalone 16.17.1.2. Web-based 16.17.2. Services 16.17.2.1. Professional 16.17.2.2. Managed 16.18. Mexico Automotive Predictive Maintenance Market Forecast, By Deployment 16.18.1. Embedded 16.18.2. Cloud 16.19. Mexico Automotive Predictive Maintenance Market Forecast, by End-user 16.19.1. Personal use 16.19.2. Commercial use 16.20. Mexico Automotive Predictive Maintenance Market Forecast, By Application 16.20.1. Engine Performance 16.20.2. Exhaust System 16.20.3. Transmission Function 16.20.4. Structural Stability (Acoustic, Vibration) 16.21. Mexico Automotive Predictive Maintenance Market Forecast, by Component 16.21.1. Software 16.21.1.1. Standalone 16.21.1.2. Web-based 16.21.2. Services 16.21.2.1. Professional 16.21.2.2. Managed 16.22. Rest of South America Automotive Predictive Maintenance Market Forecast, By Deployment 16.22.1. Embedded 16.22.2. Cloud 16.23. Rest of South America Automotive Predictive Maintenance Market Forecast, by End-user 16.23.1. Personal use 16.23.2. Commercial use 16.24. Rest of South America Automotive Predictive Maintenance Market Forecast, By Application 16.24.1. Engine Performance 16.24.2. Exhaust System 16.24.3. Transmission Function 16.24.4. Structural Stability (Acoustic, Vibration) 16.25. Rest of South America Automotive Predictive Maintenance Market Forecast, by Component 16.25.1. Software 16.25.1.1. Standalone 16.25.1.2. Web-based 16.25.2. Services 16.25.2.1. Professional 16.25.2.2. Managed 16.26. South America Automotive Predictive Maintenance Market Attractiveness Analysis 16.26.1. By Deployment 16.26.2. By End-user 16.26.3. By Application 16.26.4. By Component 16.27. PEST Analysis 16.28. Key Trends 16.29. Key Developments 17. Company Profiles 17.1. Market Share Analysis, by Company 17.2. Competition Matrix 17.2.1. Competitive Benchmarking of key players by price, presence, market share, Applications and R&D investment 17.2.2. New Product Launches and Product Enhancements 17.2.3. Market Consolidation 17.2.3.1. M&A by Regions, Investment and Applications 17.2.3.2. M&A Key Players, Forward Integration and Backward Integration 17.3. Company Profiles: Key Players 17.3.1. Delphi Technologies 17.3.1.1. Company Overview 17.3.1.2. Financial Overview 17.3.1.3. Product Portfolio 17.3.1.4. Business Strategy 17.3.1.5. Recent Developments 17.3.1.6. Development Footprint 17.3.2. Siemens AG 17.3.3. HARMAN International 17.3.4. IBM Corporation 17.3.5. IMS 17.3.6. Robert Bosch GmbH 17.3.7. Rockwell Automation, Inc. 17.3.8. SAP SE 17.3.9. Teletrac Navman US Ltd 17.3.10. Microsoft Corporation 17.3.11. General Electric 17.3.12. Schneider Electric 17.3.13. Hitachi 17.3.14. Software AG 17.3.15. Engineering Consultants Group, Inc. 17.3.16. Expert Microsystems, Inc. 17.3.17. SparkCognition; C3.Ai 18. Primary Key Insights