Middle East and Africa 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 & Security)

TIPRE00014125 | Pages: 91 | Automotive and Transportation | Sep 2020 | Type: Regional | Status: Published

Market Introduction

At present, the automotive industry is experiencing significant incorporation of various advanced technologies in cars to improve the occupants' safety and efficiency. The automakers are leveraging artificial intelligence (AI) and machine learning (ML) to realize the driver's patterns and trends and improve the safety of the vehicle. Both technologies are ready to become a vital part of upcoming vehicles and the automotive industry. In the race of connected cars and self-driving vehicles, predictive vehicle technologies are gaining acceptance among all auto types, which offers amazing convenience to the driver and passengers. Therefore, the automakers are concentrating on adopting connected gadgets and IoT (internet of things) in vehicles that support voice commands. The integration of IoT in connected cars is the next big digital development that persists in the automotive industry. This fact will result in bringing another revolution via the introduction of autonomous vehicles. The self-driving cars/autonomous vehicles include a sensor management system that makes IoT vehicle-to-vehicle communication possible and a reality. The quick development of connected cars offers opportunities to both the automotive industry and tech companies. The factor described above of connected cars is projected to contribute towards the use of predictive technology by introducing a predictive collision avoidance system, predictive maintenance system, and more. Thus, the adoption of predictive powertrain control in heavy commercial vehicles is expected to create a significant demand for predictive vehicle technology in the coming years, which is further anticipated to drive the MEA predictive vehicle technology market.

Along with that in the MEA region, Saudi Arabia has the highest number of COVID-19 confirmed cases, and it is followed by South Africa and UAE, among other countries. The region comprises many growing economies such as UAE, which are prospective markets for predictive vehicle technology manufacturers. The disruptions due to coronavirus outbreak in this region may impact the predictive vehicle technology market's growth in about 6 to 9 months.

 


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Market Overview and Dynamics

The predictive vehicle technology market in MEA is expected to grow from US$ 0.91 million in 2019 to US$ 1.73 million by 2027; it is estimated to grow at a CAGR of 10.7% from 2020 to 2027. The auto manufacturers and tech companies are involved in developing sophisticated technologies that enable automobiles to drive themselves. In testing self-driving vehicles, Google is leading the race, followed by Audi, Toyota, and Mercedes-Benz. Moreover, the Institute of Electrical and Electronics Engineers (IEEE) foresees that the self-driving vehicles will approximately account for up to 75% of vehicles on the road by 2040. The self-driving car industry is anticipated to benefit the car-sharing services such as Zipcar, taxi services, public transportation, and rental car companies. In addition to the rising emergence of self-driving vehicles, changing government regulations and collaborations are significant trends that would support transforming the automotive industry. This is bolstering the growth of the MEA predictive vehicle technology market.

 

Key Market Segments

In terms of vehicle type, the passenger car segment accounted for the largest share of the MEA predictive vehicle technology market in 2019. In terms of hardware, the ADAS segment held a larger market share of the MEA predictive vehicle technology market in 2019. Further, the safety & security segment held a larger share of the market based on application in 2019.

 

Major Sources and Companies Listed

A few major primary and secondary sources referred to for preparing this report on the predictive vehicle technology market in MEA are company websites, annual reports, financial reports, national government documents, and statistical database, among others. Major companies listed in the report are Aptiv PLC, Continental AG, HELLA GmbH and Co. KGaA, NXP SEMICONDUCTORS N.V., Robert Bosch GmbH, Traffilog LTD, Valeo, Visteon Corporation, and ZF Friedrichshafen AG among others.

 

 

 

 

 

Reasons to buy report

  • To understand the MEA predictive vehicle technology market landscape and identify market segments that are most likely to guarantee a strong return
  • Stay ahead of the race by comprehending the ever-changing competitive landscape for MEA predictive vehicle technology market
  • Efficiently plan M&A and partnership deals in MEA predictive vehicle technology market by identifying market segments with the most promising probable sales
  • Helps to take knowledgeable business decisions from perceptive and comprehensive analysis of market performance of various segment form MEA predictive vehicle technology market
  • Obtain market revenue forecast for market by various segments from 2020-2027 in MEA region.

 

MEA Predictive Vehicle Technology Market Segmentation

By Hardware

  • ADAS
  • Telematics
  • OBD

 

By Vehicle Type

  • Commercial Vehicle
  • Passenger Car

 

By Application

  • Proactive Alerts
  • Safety & Security

 

By Country

  • South Africa
  • Rest of MEA

 

 

 

Company Profiles

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

1.           Introduction

1.1         Study Scope

1.2         The Insight Partners Research Report Guidance

1.3         Market Segmentation

2.           Key Takeaways

3.           Research Methodology

3.1         Coverage

3.2         Secondary Research

3.3         Primary Research

4.           MEA Predictive Vehicle Technology Market Landscape

4.1         Market Overview

4.2         MEA PEST Analysis

4.3         Ecosystem Analysis

4.4         Expert Opinion

5.           MEA Predictive Vehicle Technology – Market Dynamics

5.1         Market Drivers

5.1.1        Adoption of Predictive Powertrain Control in heavy commercial vehicles

5.2         Market Restraints

5.2.1        Predictive Vehicle Technology causing significant problems

5.3         Market Opportunities

5.3.1        Growing demand for data management in connected cars

5.4         Future Trends

5.4.1        Arrival of self-driving vehicles

5.5         Impact Analysis of Drivers and Restraints

6.           MEA Predictive Vehicle Technology Market Analysis

6.1         MEA Predictive Vehicle Technology Market Overview

6.2         MEA Predictive Vehicle Technology Market – Revenue and Forecast to 2027 (US$ Million)

6.3         MEA Market Positioning – Five Key Players

7.           MEA Predictive Vehicle Technology Market Analysis – By Hardware

7.1         Overview

7.2         MEA 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.           MEA Predictive Vehicle Technology Market Analysis – By Vehicle Type

8.1         Overview

8.2         MEA 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.           MEA Predictive Vehicle Technology Market Analysis – By Application

9.1         Overview

9.2         MEA 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.        MEA Predictive Vehicle Technology Market – Country Analysis

10.1      Overview

10.1.1     MEA: Predictive Vehicle Technology Market, by Key Country

10.1.1.1       South Africa: Predictive Vehicle Technology Market – Revenue and Forecast to 2027 (US$ Billion)

10.1.1.1.1       South Africa: Predictive Vehicle Technology Market, by Hardware

10.1.1.1.2       South Africa: Predictive Vehicle Technology Market, by Vehicle Type

10.1.1.1.3       South Africa: Predictive Vehicle Technology Market, by Application

10.1.1.2       Rest of MEA: Predictive Vehicle Technology Market – Revenue and Forecast to 2027 (US$ Billion)

10.1.1.2.1       Rest of MEA: Predictive Vehicle Technology Market, by Hardware

10.1.1.2.2       Rest of MEA: Predictive Vehicle Technology Market, by Vehicle Type

10.1.1.2.3       Rest of MEA: Predictive Vehicle Technology Market, by Application

11.        MEA Predictive Vehicle Technology Market - COVID-19 Impact Analysis

11.1      MEA: 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      Aptiv PLC

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      Continental AG

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      HELLA GmbH and Co. KGaA

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      NXP SEMICONDUCTORS N.V.

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      Robert Bosch GmbH

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      Traffilog LTD

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 Insight Partners

             14.2      Word Index

LIST OF TABLES

Table 1.             MEA Predictive Vehicle Technology Market – Revenue and Forecast to 2027 (US$ Million)

Table 2.             MEA: Predictive Vehicle Technology Market, by Country – Revenue and Forecast to 2027 (US$ Billion)

Table 3.             South Africa: Predictive Vehicle Technology Market, by Hardware –Revenue and Forecast to 2027 (US$ Billion)

Table 4.             South Africa: Predictive Vehicle Technology Market, by Vehicle Type –Revenue and Forecast to 2027 (US$ Billion)

Table 5.             South Africa: Predictive Vehicle Technology Market, by Application –Revenue and Forecast to 2027 (US$ Billion)

Table 6.             Rest of MEA: Predictive Vehicle Technology Market, by Hardware –Revenue and Forecast to 2027 (US$ Billion)

Table 7.             Rest of MEA: Predictive Vehicle Technology Market, by Vehicle Type –Revenue and Forecast to 2027 (US$ Billion)

Table 8.             Rest of MEA: Predictive Vehicle Technology Market, by Application –Revenue and Forecast to 2027 (US$ Billion)

Table 9.               List of Abbreviation

LIST OF FIGURES

Figure 1.           MEA Predictive Vehicle Technology Market Segmentation

Figure 2.           MEA Predictive Vehicle Technology Market Segmentation – By Country

Figure 3.           MEA Predictive Vehicle Technology Market Overview

Figure 4.           Safety and Security Segment Held the Largest Share During Forecast Period - By Application

Figure 5.           ADAS Segment Held the Largest Share During Forecast Period - By Hardware

Figure 6.           Passenger Car Held the Largest Share During Forecast Period - By Vehicle Type

Figure 7.           South Africa Held the Largest Share of MEA Predictive Vehicle Technology Market - By Country

Figure 8.           MEA Predictive Vehicle Technology Market – Key Market Players

Figure 9.           MEA Predictive Vehicle Technology Market - Country Analysis

Figure 10.        MEA – PEST Analysis

Figure 11.        MEA Ecosystem Analysis

Figure 12.        Expert Opinion

Figure 13.        MEA Predictive Vehicle Technology Market Impact Analysis of Drivers and Restraints

Figure 14.        MEA Predictive Vehicle Technology Market – Revenue and Forecast to 2027 (US$ Million)

Figure 15.        MEA Predictive Vehicle Technology Market Revenue Share, by Hardware (2019 and 2027)

Figure 16.        MEA ADAS: Predictive Vehicle Technology Market – Revenue and Forecast to 2027 (US$ Million)

Figure 17.        MEA Telematics: Predictive Vehicle Technology Market – Revenue and Forecast to 2027 (US$ Million)

Figure 18.        MEA OBD: Predictive Vehicle Technology Market – Revenue and Forecast to 2027 (US$ Million)

Figure 19.        MEA Predictive Vehicle Technology Market Breakdown, by Vehicle Type (2019 and 2027)

Figure 20.        MEA Commercial Vehicle: Predictive Vehicle Technology Market – Revenue and Forecast to 2027 (US$ Million)

Figure 21.        MEA Passenger Car Market Revenue and Forecast to 2027(US$ Million)

Figure 22.        MEA Predictive Vehicle Technology Market Breakdown, by Application (2019 and 2027)

Figure 23.        MEA Proactive Alerts Market Revenue and Forecast to 2027(US$ Million)

Figure 24.        MEA Safety and Security Market Revenue and Forecast to 2027(US$ Million)

Figure 25.        MEA: Predictive Vehicle Technology Market Revenue Share, By Key Country (2019 and 2027)

Figure 26.        South Africa: Predictive Vehicle Technology Market – Revenue and Forecast to 2027 (US$ Billion)

Figure 27.        Rest of MEA: Predictive Vehicle Technology Market – Revenue and Forecast to 2027 (US$ Billion)

Figure 28.          Impact of COVID-19 Pandemic in MEA Country Markets

The List of Companies - Middle East and Africa Predictive Vehicle Technology Market

  1. Aptiv PLC
  2. Continental AG
  3. HELLA GmbH and Co. KGaA
  4. NXP SEMICONDUCTORS N.V.
  5. Robert Bosch GmbH
  6. Traffilog LTD
  7. Valeo
  8. Visteon Corporation
  9. ZF Friedrichshafen AG
  • Save and reduce time carrying out entry-level research by identifying the growth, size, leading players and segments in the MEA 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 MEA 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 MEA market trends and outlook coupled with the factors driving the predictive vehicle technology 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.
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