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South America Predictive Vehicle Technology Market Forecast to 2027 - COVID-19 Impact and Regional Analysis By Hardware (ADAS, Telematics, and OBD), Vehicle Type (Commercial Vehicle and Passenger Car), and Application (Proactive Alerts and Safety and Security)

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    Report

  • 94 Pages
  • September 2020
  • The Insight Partners
  • ID: 5180714
The predictive vehicle technology market in SAM is expected to grow from US$ 0.66 million in 2019 to US$ 1.48 million by 2027; it is estimated to grow at a CAGR of 13.0% from 2020 to 2027.

The connected cars stream massive amounts of data into the cloud and to utilize this data, there is an increasing need for predictive analysis and data analysis. Concepts such as predictive maintenance, predictive collision avoidance, automotive marketing, and data management of connected cars bolster the growth of the predictive vehicle technology market. The rising application of data management in connected cars also positively influences the demand for predictive vehicle technology.

Due to the COVID-19 crisis, the governments of various countries in SAM are taking several preventive measures to protect their citizens and contain COVID-19’s spread. It is anticipated that SAM will face lower export revenues owing to the drop in commodity prices and a reduction in export volumes.

Based on hardware, the ADAS segment dominated the predictive vehicle technology market in 2019. The demand for ADAS, which assists the driver in monitoring, braking, warning, and steering activities, is projected to rise in the coming decade. The increasing number of regulations imposed by governments and growing consumers’ interest in safety applications are accountable to the rising need for ADAS in connected cars. Also, to ensure drivers' safety and avoid road accidents, the demand for ADAS is growing across the countries. The applications for ADAS are still in their early phase and getting adopted in major countries. Also, the same technologies that facilitate ADAS offerings might be further used to build fully autonomous vehicles. Therefore, both OEMs (original equipment manufacturer) and high-tech players are taking steps to integrate ADAS into autonomous vehicles. Any ADAS technology that gains early support gets the benefit when the autonomous cars reach the market. Due to better safety provided to the drivers, drives the SAM predictive vehicle technology market.

The overall SAM predictive vehicle technology market size has been derived using both primary and secondary sources. To begin the research process, exhaustive secondary research has been conducted using internal and external sources to obtain qualitative and quantitative information related to the market. The process also serves the purpose of obtaining an overview and forecast of the SAM predictive vehicle technology market with respect to all the segments pertaining to the region. Also, multiple primary interviews have been conducted with industry participants and commentators to validate the data and gain more analytical insights into the topic. The participants who typically take part in such a process include industry expert (such as VPs, business development managers, market intelligence managers, and national sales managers) and external consultants (such as valuation experts, research analysts, and key opinion leaders specializing in the SAM predictive vehicle technology market). AISIN SEIKI Co. Ltd., Aptiv PLC, Continental AG, HELLA GmbH and Co. KGaA, NXP SEMICONDUCTORS N. V., Robert Bosch GmbH, Valeo, Visteon Corporation, and ZF Friedrichshafen AG are among a few players operating in the SAM predictive vehicle technology market.

Reasons to Buy
  • Save and reduce time carrying out entry-level research by identifying the growth, size, leading players and segments in the South America Predictive Vehicle Technology market.
  • Highlights key business priorities in order to assist companies to realign their business strategies.
  • The key findings and recommendations highlight crucial progressive industry trends in the South America Predictive Vehicle Technology market, thereby allowing players across the value chain to develop effective long-term strategies.
  • Develop/modify business expansion plans by using substantial growth offering developed and emerging markets.
  • Scrutinize in-depth SAM market trends and outlook coupled with the factors driving the network security firewall market, as well as those hindering it.
  • Enhance the decision-making process by understanding the strategies that underpin commercial interest with respect to client products, segmentation, pricing and distribution.

Table of Contents

1. Introduction
1.1 Study Scope
1.2 Report Guidance
1.3 Market Segmentation
2. Key Takeaways
3. Research Methodology
3.1 Coverage
3.2 Secondary Research
3.3 Primary Research
4. SAM Predictive Vehicle Technology Market Landscape
4.1 Market Overview
4.2 SAM PEST Analysis
4.3 Ecosystem Analysis
4.4 Expert Opinion
5. SAM Predictive Vehicle Technology - Market Dynamics
5.1 Market Drivers
5.1.1 Application of AI in automotive industry
5.2 Market Restraints
5.2.1 Rising security concerns in using predictive technology
5.3 Market Opportunities
5.3.1 Growing need for predictive analysis and data analysis in connected cars
5.4 Future Trends
5.4.1 Testing of more self-driving vehicles
5.5 Impact Analysis of Drivers and Restraints
6. SAM Predictive Vehicle Technology Market Analysis
6.1 SAM Predictive Vehicle Technology Market Overview
6.2 SAM Predictive Vehicle Technology Market - Revenue and Forecast to 2027 (US$ Million)
6.3 SAM Market Positioning - Five Key Players
7. SAM Predictive Vehicle Technology Market Analysis - By Hardware
7.1 Overview
7.2 SAM Predictive Vehicle Technology Market, By Hardware (2019 and 2027)
7.3 ADAS
7.3.1 Overview
7.3.2 ADAS: Predictive Vehicle Technology Market - Revenue and Forecast to 2027 (US$ Million)
7.4 Telematics
7.4.1 Overview
7.4.2 Telematics: Predictive Vehicle Technology Market - Revenue and Forecast to 2027 (US$ Million)
7.5 OBD
7.5.1 Overview
7.5.2 OBD: Predictive Vehicle Technology Market - Revenue and Forecast to 2027 (US$ Million)
8. SAM Predictive Vehicle Technology Market Analysis - By Vehicle Type
8.1 Overview
8.2 SAM Predictive Vehicle Technology Market Breakdown, by Vehicle Type, 2019 & 2027
8.3 Commercial Vehicle
8.3.1 Overview
8.3.2 Commercial Vehicle: Predictive Vehicle Technology Market - Revenue and Forecast to 2027 (US$ Million)
8.4 Passenger Car
8.4.1 Overview
8.4.2 Passenger Car: Predictive Vehicle Technology Market Revenue and Forecast to 2027 (US$ Million)
9. SAM Predictive Vehicle Technology Market Analysis - By Application
9.1 Overview
9.2 Predictive Vehicle Technology Market Breakdown, by Application, 2019 & 2027
9.3 Proactive Alerts
9.3.1 Overview
9.3.2 Proactive Alerts Market Revenue and Forecast to 2027 (US$ Million)
9.4 Safety and Security
9.4.1 Overview
9.4.2 Safety and Security Market Revenue and Forecast to 2027 (US$ Million)
10. SAM Predictive Vehicle Technology Market - Country Analysis
10.1 Overview
10.1.1 SAM: Predictive Vehicle Technology Market, by Key Country
10.1.1.1 Brazil: Predictive Vehicle Technology Market - Revenue and Forecast to 2027 (US$ Billion)
10.1.1.1.1 Brazil: Predictive Vehicle Technology Market, by Hardware
10.1.1.1.2 Brazil: Predictive Vehicle Technology Market, by Vehicle Type
10.1.1.1.3 Brazil: Predictive Vehicle Technology Market, by Application
10.1.1.2 Argentina: Predictive Vehicle Technology Market - Revenue and Forecast to 2027 (US$ Billion)
10.1.1.2.1 Argentina: Predictive Vehicle Technology Market, by Hardware
10.1.1.2.2 Argentina: Predictive Vehicle Technology Market, by Vehicle Type
10.1.1.2.3 Argentina: Predictive Vehicle Technology Market, by Application
10.1.1.3 Rest of SAM: Predictive Vehicle Technology Market - Revenue and Forecast to 2027 (US$ Billion)
10.1.1.3.1 Rest of SAM: Predictive Vehicle Technology Market, by Hardware
10.1.1.3.2 Rest of SAM: Predictive Vehicle Technology Market, by Vehicle Type
10.1.1.3.3 Rest of SAM: Predictive Vehicle Technology Market, by Application
11. SAM Predictive Vehicle Technology Market- COVID-19 Impact Analysis
11.1 SAM: Impact Assessment of COVID-19 Pandemic
12. Industry Landscape
12.1 Market Initiative
12.2 Merger and Acquisition
12.3 New Development
13. Company Profiles
13.1 AISIN SEIKI Co.Ltd.
13.1.1 Key Facts
13.1.2 Business Description
13.1.3 Products and Services
13.1.4 Financial Overview
13.1.5 SWOT Analysis
13.1.6 Key Developments
13.2 Aptiv PLC
13.2.1 Key Facts
13.2.2 Business Description
13.2.3 Products and Services
13.2.4 Financial Overview
13.2.5 SWOT Analysis
13.2.6 Key Developments
13.3 Continental AG
13.3.1 Key Facts
13.3.2 Business Description
13.3.3 Products and Services
13.3.4 Financial Overview
13.3.5 SWOT Analysis
13.3.6 Key Developments
13.4 HELLA GmbH and Co. KGaA
13.4.1 Key Facts
13.4.2 Business Description
13.4.3 Products and Services
13.4.4 Financial Overview
13.4.5 SWOT Analysis
13.4.6 Key Developments
13.5 NXP SEMICONDUCTORS N.V.
13.5.1 Key Facts
13.5.2 Business Description
13.5.3 Products and Services
13.5.4 Financial Overview
13.5.5 SWOT Analysis
13.5.6 Key Developments
13.6 Robert Bosch GmbH
13.6.1 Key Facts
13.6.2 Business Description
13.6.3 Products and Services
13.6.4 Financial Overview
13.6.5 SWOT Analysis
13.6.6 Key Developments
13.7 Valeo
13.7.1 Key Facts
13.7.2 Business Description
13.7.3 Products and Services
13.7.4 Financial Overview
13.7.5 SWOT Analysis
13.7.6 Key Developments
13.8 Visteon Corporation
13.8.1 Key Facts
13.8.2 Business Description
13.8.3 Products and Services
13.8.4 Financial Overview
13.8.5 SWOT Analysis
13.8.6 Key Developments
13.9 ZF Friedrichshafen AG
13.9.1 Key Facts
13.9.2 Business Description
13.9.3 Products and Services
13.9.4 Financial Overview
13.9.5 SWOT Analysis
13.9.6 Key Developments
14. Appendix
14.1 About the Publisher
14.2 Word Index

Companies Mentioned (Partial List)

A selection of companies mentioned in this report includes, but is not limited to:

  • AISIN SEIKI Co.Ltd.
  • Aptiv PLC
  • Continental AG
  • HELLA GmbH and Co. KGaA
  • NXP SEMICONDUCTORS N.V.
  • Robert Bosch GmbH
  • Valeo
  • Visteon Corporation
  • ZF Friedrichshafen AG