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Predictive Vehicle Technology Market Research Report by Vehicle Type, by End-User, by Deployment, by Application - Global Forecast to 2025 - Cumulative Impact of COVID-19

  • ID: 4896573
  • Report
  • June 2020
  • Region: Global
  • 204 pages
  • 360iResearch
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The Global Predictive Vehicle Technology Market to Grow USD 86,132.70 Million by 2025, at a CAGR of 18.11%

FEATURED COMPANIES

  • Aisin Seiki Co Ltd
  • Autoliv
  • Continental AG
  • Garrett Motion Inc
  • Kpit
  • Robert Bosch GmbH
  • MORE
The Global Predictive Vehicle Technology Market is expected to grow from USD 31,721.50 Million in 2019 to USD 86,132.70 Million by the end of 2025 at a Compound Annual Growth Rate (CAGR) of 18.11%.

Market Segmentation & Coverage:

This research report categorizes the Predictive Vehicle Technology to forecast the revenues and analyze the trends in each of the following sub-markets:

On the basis of Vehicle Type, the Predictive Vehicle Technology Market is examined across Commercial Vehicle and Passenger Vehicle.

On the basis of Component, the Predictive Vehicle Technology Market is examined across ADAS Component, On-Board Diagnostics, and Telematics.

On the basis of End-User, the Predictive Vehicle Technology Market is examined across Fleet Owners, Insurers, and OEMs and Service Providers.

On the basis of Deployment, the Predictive Vehicle Technology Market is examined across Cloud and On-Premise.

On the basis of Application, the Predictive Vehicle Technology Market is examined across Proactive Alerts and Safety & Security.

On the basis of Geography, the Predictive Vehicle Technology Market is examined across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas region is examined across Argentina, Brazil, Canada, Mexico, and United States. The Asia-Pacific region is examined across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, South Korea, and Thailand. The Europe, Middle East & Africa region is examined across France, Germany, Italy, Netherlands, Qatar, Russia, Saudi Arabia, South Africa, Spain, United Arab Emirates, and United Kingdom.

Company Usability Profiles:

The report deeply explores the recent significant developments by the leading vendors and innovation profiles in the Global Predictive Vehicle Technology Market including Aisin Seiki Co Ltd, Aptiv PLC, Autoliv, Cohda Wireless, Continental AG, Embitel, Garrett Motion Inc, Hella, Kpit, NXP Semiconductors NV, Robert Bosch GmbH, Samsung Electronics Co., Ltd., Valeo SA, Visteon Corp, and ZF Friedrichshafen AG.

FPNV Positioning Matrix:

The FPNV Positioning Matrix evaluates and categorizes the vendors in the Predictive Vehicle Technology Market on the basis of Business Strategy (Business Growth, Industry Coverage, Financial Viability, and Channel Support) and Product Satisfaction (Value for Money, Ease of Use, Product Features, and Customer Support) that aids businesses in better decision making and understanding the competitive landscape.

Competitive Strategic Window:

The Competitive Strategic Window analyses the competitive landscape in terms of markets, applications, and geographies. The Competitive Strategic Window helps the vendor define an alignment or fit between their capabilities and opportunities for future growth prospects. During a forecast period, it defines the optimal or favorable fit for the vendors to adopt successive merger and acquisition strategies, geography expansion, research & development, and new product introduction strategies to execute further business expansion and growth.

Cumulative Impact of COVID-19:

COVID-19 is an incomparable global public health emergency that has affected almost every industry, so for and, the long-term effects projected to impact the industry growth during the forecast period. Our ongoing research amplifies our research framework to ensure the inclusion of underlaying COVID-19 issues and potential paths forward. The report is delivering insights on COVID-19 considering the changes in consumer behavior and demand, purchasing patterns, re-routing of the supply chain, dynamics of current market forces, and the significant interventions of governments. The updated study provides insights, analysis, estimations, and forecast, considering the COVID-19 impact on the market.

The report provides insights on the following pointers:

1. Market Penetration: Provides comprehensive information on sulfuric acid offered by the key players
2. Market Development: Provides in-depth information about lucrative emerging markets and analyzes the markets
3. Market Diversification: Provides detailed information about new product launches, untapped geographies, recent developments, and investments
4. Competitive Assessment & Intelligence: Provides an exhaustive assessment of market shares, strategies, products, and manufacturing capabilities of the leading players
5. Product Development & Innovation: Provides intelligent insights on future technologies, R&D activities, and new product developments

The report answers questions such as:

1. What is the market size and forecast of the Global Predictive Vehicle Technology Market?
2. What are the inhibiting factors and impact of COVID-19 shaping the Global Predictive Vehicle Technology Market during the forecast period?
3. Which are the products/segments/applications/areas to invest in over the forecast period in the Global Predictive Vehicle Technology Market?
4. What is the competitive strategic window for opportunities in the Global Predictive Vehicle Technology Market?
5. What are the technology trends and regulatory frameworks in the Global Predictive Vehicle Technology Market?
6. What are the modes and strategic moves considered suitable for entering the Global Predictive Vehicle Technology Market?
Note: Product cover images may vary from those shown
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FEATURED COMPANIES

  • Aisin Seiki Co Ltd
  • Autoliv
  • Continental AG
  • Garrett Motion Inc
  • Kpit
  • Robert Bosch GmbH
  • MORE
1. Preface
1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Stakeholders

2. Research Methodology
2.1. Research Process
2.1.1. Define: Research Objective
2.1.2. Determine: Research Design
2.1.3. Prepare: Research Instrument
2.1.4. Collect: Data Source
2.1.5. Analyze: Data Interpretation
2.1.6. Formulate: Data Verification
2.1.7. Publish: Research Report
2.1.8. Repeat: Report Update
2.2. Research Execution
2.2.1. Initiation: Research Process
2.2.2. Planning: Develop Research Plan
2.2.3. Execution: Conduct Research
2.2.4. Verification: Finding & Analysis
2.2.5. Publication: Research Report
2.3. Research Outcome
2.3.1. Competitive Strategic Window

3. Executive Summary
3.1. Market Outlook
3.2. Vehicle Type Outlook
3.3. Component Outlook
3.4. End-User Outlook
3.5. Deployment Outlook
3.6. Application Outlook
3.7. Geography Outlook
3.8. Competitor Outlook

4. Market Overview
4.1. Introduction
4.2. Predictive Vehicle Technology Market, By Geography

5. Market Dynamics
5.1. Introduction
5.1.1. Drivers
5.1.2. Restraints
5.1.3. Opportunities
5.1.4. Challenges

6. Market Insights
6.1. Porters Five Forces Analysis
6.1.1. Threat of New Entrants
6.1.2. Threat of Substitutes
6.1.3. Bargaining Power of Customers
6.1.4. Bargaining Power of Suppliers
6.1.5. Industry Rivalry
6.2. Cumulative Impact of COVID-19
6.3. Client Customizations

7. Global Predictive Vehicle Technology Market, By Vehicle Type
7.1. Introduction
7.2. Commercial Vehicle
7.3. Passenger Vehicle

8. Global Predictive Vehicle Technology Market, By Component
8.1. Introduction
8.2. ADAS Component
8.3. On-Board Diagnostics
8.4. Telematics

9. Global Predictive Vehicle Technology Market, By End-User
9.1. Introduction
9.2. Fleet Owners
9.3. Insurers
9.4. OEMs and Service Providers

10. Global Predictive Vehicle Technology Market, By Deployment
10.1. Introduction
10.2. Cloud
10.3. On-Premise

11. Global Predictive Vehicle Technology Market, By Application
11.1. Introduction
11.2. Proactive Alerts
11.3. Safety & Security

12. Americas Predictive Vehicle Technology Market
12.1. Introduction
12.2. Argentina
12.3. Brazil
12.4. Canada
12.5. Mexico
12.6. United States

13. Asia-Pacific Predictive Vehicle Technology Market
13.1. Introduction
13.2. Australia
13.3. China
13.4. India
13.5. Indonesia
13.6. Japan
13.7. Malaysia
13.8. Philippines
13.9. South Korea
13.10. Thailand

14. Europe, Middle East & Africa Predictive Vehicle Technology Market
14.1. Introduction
14.2. France
14.3. Germany
14.4. Italy
14.5. Netherlands
14.6. Qatar
14.7. Russia
14.8. Saudi Arabia
14.9. South Africa
14.10. Spain
14.11. United Arab Emirates
14.12. United Kingdom

15. Competitive Landscape
15.1. FPNV Positioning Matrix
15.1.1. Quadrants
15.1.2. Business Strategy
15.1.3. Product Satisfaction
15.2. Market Ranking Analysis
15.3. Market Share Analysis
15.4. Competitive Scenario
15.4.1. Merger & Acquisition
15.4.2. Agreement, Collaboration & Partnership
15.4.3. New Product Launch & Enhancement
15.4.4. Investment & Funding

16. Company Usability Profiles
16.1. Aisin Seiki Co Ltd
16.2. Aptiv PLC
16.3. Autoliv
16.4. Cohda Wireless
16.5. Continental AG
16.6. Embitel
16.7. Garrett Motion Inc
16.8. Hella
16.9. Kpit
16.10. NXP Semiconductors NV
16.11. Robert Bosch GmbH
16.12. Samsung Electronics Co., Ltd.
16.13. Valeo SA
16.14. Visteon Corp
16.15. ZF Friedrichshafen AG

17. Appendix
17.1. Discussion Guide
17.2. Edition Details
17.3. License Details
17.4. Pricing Details
Note: Product cover images may vary from those shown
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  • Aisin Seiki Co Ltd
  • Aptiv PLC
  • Autoliv
  • Cohda Wireless
  • Continental AG
  • Embitel
  • Garrett Motion Inc
  • Hella
  • Kpit
  • NXP Semiconductors NV
  • Robert Bosch GmbH
  • Samsung Electronics Co., Ltd.
  • Valeo SA
  • Visteon Corp
  • ZF Friedrichshafen AG
Note: Product cover images may vary from those shown
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