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 Brazil, Argentina, and rest of SAM are major economies in SAM. The AI (artificial intelligence) application in the automotive industry gained momentum over the past few years. The advanced technologies, such as AI, is gaining popularity across the SAM region. AI has its several applications in the automotive industry, such as self-driving cars. The AI offers driver-assist and fully autonomous mode functionality to the users. To take advantage of stated functionalities, companies such as Google and Tesla are looking forward. For instance, Tesla is a popular electric car market, and now the company is looking ahead to make a position in self-driving vehicles by integrating AI. Moreover, the application of AI cloud platforms ensures that data is accessible whenever required. As this technology monitors a number of sensors and detects issues even before they affect the vehicle operation, the automakers are in the race of taking it. For instance, in October 2018, Microsoft and Volkswagen partnered to transform the automobile company into the digital service-driven business. By extracting the power of PowerBI, Azure IoT, and Skype, Volkswagen aims to provide telematics, customer experience, and productivity solutions for an automotive market. Volkswagen has realized that the customers’ demands for more to know about the value in cloud-based AI solutions. Due to this, the company projects to give Over-The-Air (OTA) software updates and predictive maintenance and for their vehicles. Thus, the growth in AI application in the automotive industry is expected to create a significant demand for predictive vehicle technology in the coming years, which is further anticipated to drive the market in SAM.In addition to this, in SAM region, Brazil has the highest number of COVID-19 confirmed cases, followed by Ecuador, Chile, Peru, and Argentina, among others. Containment measures in several countries of SAM are also expected to reduce economic activity in the manufacturing and service sectors for at least the next quarter, however, the long-term growth of South America predictive vehicle technology market is projected to be positive in the region.
With the new features and technologies coming in SAM predictive vehicle technology market, vendors can attract new customers and expand their footprints in emerging markets. This factor is likely to drive the SAM predictive vehicle technology market. The SAM predictive vehicle technology market is expected to grow at a good CAGR during the forecast period.- Sample PDF showcases the content structure and the nature of the information with qualitative and quantitative analysis.
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SAM Predictive Vehicle Technology Market Segmentation
SAM Predictive Vehicle Technology Market – By Hardware
- ADAS
- Telematics
- OBD
SAM Predictive Vehicle Technology Market – By Vehicle Type
- Commercial Vehicle
- Passenger Car
SAM Predictive Vehicle Technology Market – By Application
- Proactive Alerts
- Safety & Security
SAM Predictive Vehicle Technology Market - By Country
- Brazil
- Argentina
- Rest of SAM
SAM Predictive Vehicle Technology Market – Company Profiles
- 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
Report Coverage
Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends
Segment Covered
Hardware, Vehicle Type, and Application
Regional Scope
North America, Europe, Asia Pacific, Middle East & Africa, South & Central America
Country Scope
US, Canada, Brazil, Argentina
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. 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 Insight Partners
14.2 Word Index
LIST OF TABLES
Table 1. SAM Predictive Vehicle Technology Market – Revenue and Forecast to 2027 (US$ Million)
Table 2. SAM: Predictive Vehicle Technology Market, by Country – Revenue and Forecast to 2027 (US$ Billion)
Table 3. Brazil: Predictive Vehicle Technology Market, by Hardware –Revenue and Forecast to 2027 (US$ Billion)
Table 4. Brazil: Predictive Vehicle Technology Market, by Vehicle Type –Revenue and Forecast to 2027 (US$ Billion)
Table 5. Brazil: Predictive Vehicle Technology Market, by Application –Revenue and Forecast to 2027 (US$ Billion)
Table 6. Argentina: Predictive Vehicle Technology Market, by Hardware –Revenue and Forecast to 2027 (US$ Billion)
Table 7. Argentina: Predictive Vehicle Technology Market, by Vehicle Type –Revenue and Forecast to 2027 (US$ Billion)
Table 8. Argentina: Predictive Vehicle Technology Market, by Application –Revenue and Forecast to 2027 (US$ Billion)
Table 9. Rest of SAM: Predictive Vehicle Technology Market, by Hardware –Revenue and Forecast to 2027 (US$ Billion)
Table 10. Rest of SAM: Predictive Vehicle Technology Market, by Vehicle Type –Revenue and Forecast to 2027 (US$ Billion)
Table 11. Rest of SAM: Predictive Vehicle Technology Market, by Application –Revenue and Forecast to 2027 (US$ Billion)
Table 12. List of Abbreviation
LIST OF FIGURES
Figure 1. SAM Predictive Vehicle Technology Market Segmentation
Figure 2. SAM Predictive Vehicle Technology Market Segmentation – By Country
Figure 3. SAM 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. Brazil Held the Largest Share of SAM Predictive Vehicle Technology Market - By Country
Figure 8. SAM Predictive Vehicle Technology Market – Key Market Players
Figure 9. SAM Predictive Vehicle Technology Market - Country Analysis
Figure 10. SAM – PEST Analysis
Figure 11. SAM Ecosystem Analysis
Figure 12. Expert Opinion
Figure 13. SAM Predictive Vehicle Technology Market Impact Analysis of Drivers and Restraints
Figure 14. SAM Predictive Vehicle Technology Market – Revenue and Forecast to 2027 (US$ Million)
Figure 15. SAM Predictive Vehicle Technology Market Revenue Share, by Hardware (2019 and 2027)
Figure 16. SAM ADAS: Predictive Vehicle Technology Market – Revenue and Forecast to 2027 (US$ Million)
Figure 17. SAM Telematics: Predictive Vehicle Technology Market – Revenue and Forecast to 2027 (US$ Million)
Figure 18. SAM OBD: Predictive Vehicle Technology Market – Revenue and Forecast to 2027 (US$ Million)
Figure 19. SAM Predictive Vehicle Technology Market Breakdown, by Vehicle Type (2019 and 2027)
Figure 20. SAM Commercial Vehicle: Predictive Vehicle Technology Market – Revenue and Forecast to 2027 (US$ Million)
Figure 21. SAM Passenger Car Market Revenue and Forecast to 2027(US$ Million)
Figure 22. SAM Predictive Vehicle Technology Market Breakdown, by Application (2019 and 2027)
Figure 23. SAM Proactive Alerts Market Revenue and Forecast to 2027(US$ Million)
Figure 24. SAM Safety and Security Market Revenue and Forecast to 2027(US$ Million)
Figure 25. SAM: Predictive Vehicle Technology Market Revenue Share, By Key Country (2019 and 2027)
Figure 26. Brazil: Predictive Vehicle Technology Market – Revenue and Forecast to 2027 (US$ Billion)
Figure 27. Argentina: Predictive Vehicle Technology Market – Revenue and Forecast to 2027 (US$ Billion)
Figure 28. Rest of SAM: Predictive Vehicle Technology Market – Revenue and Forecast to 2027 (US$ Billion)
Figure 29. Impact of COVID-19 Pandemic in SAM Country Markets
The List of Companies - South America 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
- ZF Friedrichshafen AG
The Insight Partners performs research in 4 major stages: Data Collection & Secondary Research, Primary Research, Data Analysis and Data Triangulation & Final Review.
- Data Collection and Secondary Research:
As a market research and consulting firm operating from a decade, we have published many reports and advised several clients across the globe. First step for any study will start with an assessment of currently available data and insights from existing reports. Further, historical and current market information is collected from Investor Presentations, Annual Reports, SEC Filings, etc., and other information related to company’s performance and market positioning are gathered from Paid Databases (Factiva, Hoovers, and Reuters) and various other publications available in public domain.
Several associations trade associates, technical forums, institutes, societies and organizations are accessed to gain technical as well as market related insights through their publications such as research papers, blogs and press releases related to the studies are referred to get cues about the market. Further, white papers, journals, magazines, and other news articles published in the last 3 years are scrutinized and analyzed to understand the current market trends.
- Primary Research:
The primarily interview analysis comprise of data obtained from industry participants interview and answers to survey questions gathered by in-house primary team.
For primary research, interviews are conducted with industry experts/CEOs/Marketing Managers/Sales Managers/VPs/Subject Matter Experts from both demand and supply side to get a 360-degree view of the market. The primary team conducts several interviews based on the complexity of the markets to understand the various market trends and dynamics which makes research more credible and precise.
A typical research interview fulfils the following functions:
- Provides first-hand information on the market size, market trends, growth trends, competitive landscape, and outlook
- Validates and strengthens in-house secondary research findings
- Develops the analysis team’s expertise and market understanding
Primary research involves email interactions and telephone interviews for each market, category, segment, and sub-segment across geographies. The participants who typically take part in such a process include, but are not limited to:
- Industry participants: VPs, business development managers, market intelligence managers and national sales managers
- Outside experts: Valuation experts, research analysts and key opinion leaders specializing in the electronics and semiconductor industry.
Below is the breakup of our primary respondents by company, designation, and region:
Once we receive the confirmation from primary research sources or primary respondents, we finalize the base year market estimation and forecast the data as per the macroeconomic and microeconomic factors assessed during data collection.
- Data Analysis:
Once data is validated through both secondary as well as primary respondents, we finalize the market estimations by hypothesis formulation and factor analysis at regional and country level.
- 3.1 Macro-Economic Factor Analysis:
We analyse macroeconomic indicators such the gross domestic product (GDP), increase in the demand for goods and services across industries, technological advancement, regional economic growth, governmental policies, the influence of COVID-19, PEST analysis, and other aspects. This analysis aids in setting benchmarks for various nations/regions and approximating market splits. Additionally, the general trend of the aforementioned components aid in determining the market's development possibilities.
- 3.2 Country Level Data:
Various factors that are especially aligned to the country are taken into account to determine the market size for a certain area and country, including the presence of vendors, such as headquarters and offices, the country's GDP, demand patterns, and industry growth. To comprehend the market dynamics for the nation, a number of growth variables, inhibitors, application areas, and current market trends are researched. The aforementioned elements aid in determining the country's overall market's growth potential.
- 3.3 Company Profile:
The “Table of Contents” is formulated by listing and analyzing more than 25 - 30 companies operating in the market ecosystem across geographies. However, we profile only 10 companies as a standard practice in our syndicate reports. These 10 companies comprise leading, emerging, and regional players. Nonetheless, our analysis is not restricted to the 10 listed companies, we also analyze other companies present in the market to develop a holistic view and understand the prevailing trends. The “Company Profiles” section in the report covers key facts, business description, products & services, financial information, SWOT analysis, and key developments. The financial information presented is extracted from the annual reports and official documents of the publicly listed companies. Upon collecting the information for the sections of respective companies, we verify them via various primary sources and then compile the data in respective company profiles. The company level information helps us in deriving the base number as well as in forecasting the market size.
- 3.4 Developing Base Number:
Aggregation of sales statistics (2020-2022) and macro-economic factor, and other secondary and primary research insights are utilized to arrive at base number and related market shares for 2022. The data gaps are identified in this step and relevant market data is analyzed, collected from paid primary interviews or databases. On finalizing the base year market size, forecasts are developed on the basis of macro-economic, industry and market growth factors and company level analysis.
- Data Triangulation and Final Review:
The market findings and base year market size calculations are validated from supply as well as demand side. Demand side validations are based on macro-economic factor analysis and benchmarks for respective regions and countries. In case of supply side validations, revenues of major companies are estimated (in case not available) based on industry benchmark, approximate number of employees, product portfolio, and primary interviews revenues are gathered. Further revenue from target product/service segment is assessed to avoid overshooting of market statistics. In case of heavy deviations between supply and demand side values, all thes steps are repeated to achieve synchronization.
We follow an iterative model, wherein we share our research findings with Subject Matter Experts (SME’s) and Key Opinion Leaders (KOLs) until consensus view of the market is not formulated – this model negates any drastic deviation in the opinions of experts. Only validated and universally acceptable research findings are quoted in our reports.
We have important check points that we use to validate our research findings – which we call – data triangulation, where we validate the information, we generate from secondary sources with primary interviews and then we re-validate with our internal data bases and Subject matter experts. This comprehensive model enables us to deliver high quality, reliable data in shortest possible time.
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