Global Intelligent Driving Technologies Market 2020 by Company, Regions, Type and Application, Forecast to 2025

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Market Overview

The global Intelligent Driving Technologies market size is expected to gain market growth in the forecast period of 2020 to 2025, with a CAGR of xx% in the forecast period of 2020 to 2025 and will expected to reach USD xx million by 2025, from USD xx million in 2019.

The Intelligent Driving Technologies market report provides a detailed analysis of global market size, regional and country-level market size, segmentation market growth, market share, competitive Landscape, sales analysis, impact of domestic and global market players, value chain optimization, trade regulations, recent developments, opportunities analysis, strategic market growth analysis, product launches, area marketplace expanding, and technological innovations.

Market segmentation

Intelligent Driving Technologies market is split by Type and by Application. For the period 2015-2025, the growth among segments provide accurate calculations and forecasts for sales by Type and by Application in terms of volume and value. This analysis can help you expand your business by targeting qualified niche markets.

By Type, Intelligent Driving Technologies market has been segmented into:

LKA

PAS/RAS

CAS/BAS

ACC

NVS

Others

By Application, Intelligent Driving Technologies has been segmented into:

Passenger Cars

Commercial Vehicles

Others

Regions and Countries Level Analysis

Regional analysis is another highly comprehensive part of the research and analysis study of the global Intelligent Driving Technologies market presented in the report. This section sheds light on the sales growth of different regional and country-level Intelligent Driving Technologies markets. For the historical and forecast period 2015 to 2025, it provides detailed and accurate country-wise volume analysis and region-wise market size analysis of the global Intelligent Driving Technologies market.

The report offers in-depth assessment of the growth and other aspects of the Intelligent Driving Technologies market in important countries (regions), including:

North America (United States, Canada and Mexico)

Europe (Germany, France, UK, Russia and Italy)

Asia-Pacific (China, Japan, Korea, India, Southeast Asia and Australia)

South America (Brazil, Argentina, Colombia)

Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)

Competitive Landscape and Intelligent Driving Technologies Market Share Analysis

Intelligent Driving Technologies competitive landscape provides details by vendors, including company overview, company total revenue (financials), market potential, global presence, Intelligent Driving Technologies sales and revenue generated, market share, price, production sites and facilities, SWOT analysis, product launch. For the period 2015-2020, this study provides the Intelligent Driving Technologies sales, revenue and market share for each player covered in this report.

The major players covered in Intelligent Driving Technologies are:

Eaton

Magna International

Oerlikon

GKN

Continental

Dana

Jtekt

ZF

Ford

Borgwarner

AAM

Table of Contents

1 Intelligent Driving Technologies Market Overview

1.1 Product Overview and Scope of Intelligent Driving Technologies

1.2 Classification of Intelligent Driving Technologies by Type

1.2.1 Global Intelligent Driving Technologies Revenue by Type: 2015 VS 2019 VS 2025

1.2.2 Global Intelligent Driving Technologies Revenue Market Share by Type in 2019

1.2.3 LKA

1.2.4 PAS/RAS

1.2.5 CAS/BAS

1.2.6 ACC

1.2.7 NVS

1.2.8 Others

1.3 Global Intelligent Driving Technologies Market by Application

1.3.1 Overview: Global Intelligent Driving Technologies Revenue by Application: 2015 VS 2019 VS 2025

1.3.2 Passenger Cars

1.3.3 Commercial Vehicles

1.3.4 Others

1.4 Global Intelligent Driving Technologies Market by Regions

1.4.1 Global Intelligent Driving Technologies Market Size by Regions: 2015 VS 2019 VS 2025

1.4.2 Global Market Size of Intelligent Driving Technologies (2015-2025)

1.4.3 North America (USA, Canada and Mexico) Intelligent Driving Technologies Status and Prospect (2015-2025)

1.4.4 Europe (Germany, France, UK, Russia and Italy) Intelligent Driving Technologies Status and Prospect (2015-2025)

1.4.5 Asia-Pacific (China, Japan, Korea, India and Southeast Asia) Intelligent Driving Technologies Status and Prospect (2015-2025)

1.4.6 South America (Brazil, Argentina, Colombia) Intelligent Driving Technologies Status and Prospect (2015-2025)

1.4.7 Middle East & Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa) Intelligent Driving Technologies Status and Prospect (2015-2025)

2 Company Profiles

2.1 Eaton

2.1.1 Eaton Details

2.1.2 Eaton Major Business and Total Revenue (Financial Highlights) Analysis

2.1.3 Eaton SWOT Analysis

2.1.4 Eaton Product and Services

2.1.5 Eaton Intelligent Driving Technologies Revenue, Gross Margin and Market Share (2018-2019)

2.2 Magna International

2.2.1 Magna International Details

2.2.2 Magna International Major Business and Total Revenue (Financial Highlights) Analysis

2.2.3 Magna International SWOT Analysis

2.2.4 Magna International Product and Services

2.2.5 Magna International Intelligent Driving Technologies Revenue, Gross Margin and Market Share (2018-2019)

2.3 Oerlikon

2.3.1 Oerlikon Details

2.3.2 Oerlikon Major Business and Total Revenue (Financial Highlights) Analysis

2.3.3 Oerlikon SWOT Analysis

2.3.4 Oerlikon Product and Services

2.3.5 Oerlikon Intelligent Driving Technologies Revenue, Gross Margin and Market Share (2018-2019)

2.4 GKN

2.4.1 GKN Details

2.4.2 GKN Major Business and Total Revenue (Financial Highlights) Analysis

2.4.3 GKN SWOT Analysis

2.4.4 GKN Product and Services

2.4.5 GKN Intelligent Driving Technologies Revenue, Gross Margin and Market Share (2018-2019)

2.5 Continental

2.5.1 Continental Details

2.5.2 Continental Major Business and Total Revenue (Financial Highlights) Analysis

2.5.3 Continental SWOT Analysis

2.5.4 Continental Product and Services

2.5.5 Continental Intelligent Driving Technologies Revenue, Gross Margin and Market Share (2018-2019)

2.6 Dana

2.6.1 Dana Details

2.6.2 Dana Major Business and Total Revenue (Financial Highlights) Analysis

2.6.3 Dana SWOT Analysis

2.6.4 Dana Product and Services

2.6.5 Dana Intelligent Driving Technologies Revenue, Gross Margin and Market Share (2018-2019)

2.7 Jtekt

2.7.1 Jtekt Details

2.7.2 Jtekt Major Business and Total Revenue (Financial Highlights) Analysis

2.7.3 Jtekt SWOT Analysis

2.7.4 Jtekt Product and Services

2.7.5 Jtekt Intelligent Driving Technologies Revenue, Gross Margin and Market Share (2018-2019)

2.8 ZF

2.8.1 ZF Details

2.8.2 ZF Major Business and Total Revenue (Financial Highlights) Analysis

2.8.3 ZF SWOT Analysis

2.8.4 ZF Product and Services

2.8.5 ZF Intelligent Driving Technologies Revenue, Gross Margin and Market Share (2018-2019)

2.9 Ford

2.9.1 Ford Details

2.9.2 Ford Major Business and Total Revenue (Financial Highlights) Analysis

2.9.3 Ford SWOT Analysis

2.9.4 Ford Product and Services

2.9.5 Ford Intelligent Driving Technologies Revenue, Gross Margin and Market Share (2018-2019)

2.10 Borgwarner

2.10.1 Borgwarner Details

2.10.2 Borgwarner Major Business and Total Revenue (Financial Highlights) Analysis

2.10.3 Borgwarner SWOT Analysis

2.10.4 Borgwarner Product and Services

2.10.5 Borgwarner Intelligent Driving Technologies Revenue, Gross Margin and Market Share (2018-2019)

2.11 AAM

2.11.1 AAM Details

2.11.2 AAM Major Business and Total Revenue (Financial Highlights) Analysis

2.11.3 AAM SWOT Analysis

2.11.4 AAM Product and Services

2.11.5 AAM Intelligent Driving Technologies Revenue, Gross Margin and Market Share (2018-2019)

3 Market Competition, by Players

3.1 Global Intelligent Driving Technologies Revenue and Share by Players (2015-2020)

3.2 Market Concentration Rate

3.2.1 Top 5 Intelligent Driving Technologies Players Market Share

3.2.2 Top 10 Intelligent Driving Technologies Players Market Share

3.3 Market Competition Trend

4 Market Size by Regions

4.1 Global Intelligent Driving Technologies Revenue and Market Share by Regions

4.2 North America Intelligent Driving Technologies Revenue and Growth Rate (2015-2020)

4.3 Europe Intelligent Driving Technologies Revenue and Growth Rate (2015-2020)

4.4 Asia-Pacific Intelligent Driving Technologies Revenue and Growth Rate (2015-2020)

4.5 South America Intelligent Driving Technologies Revenue and Growth Rate (2015-2020)

4.6 Middle East & Africa Intelligent Driving Technologies Revenue and Growth Rate (2015-2020)

5 North America Intelligent Driving Technologies Revenue by Countries

5.1 North America Intelligent Driving Technologies Revenue by Countries (2015-2020)

5.2 USA Intelligent Driving Technologies Revenue and Growth Rate (2015-2020)

5.3 Canada Intelligent Driving Technologies Revenue and Growth Rate (2015-2020)

5.4 Mexico Intelligent Driving Technologies Revenue and Growth Rate (2015-2020)

6 Europe Intelligent Driving Technologies Revenue by Countries

6.1 Europe Intelligent Driving Technologies Revenue by Countries (2015-2020)

6.2 Germany Intelligent Driving Technologies Revenue and Growth Rate (2015-2020)

6.3 UK Intelligent Driving Technologies Revenue and Growth Rate (2015-2020)

6.4 France Intelligent Driving Technologies Revenue and Growth Rate (2015-2020)

6.5 Russia Intelligent Driving Technologies Revenue and Growth Rate (2015-2020)

6.6 Italy Intelligent Driving Technologies Revenue and Growth Rate (2015-2020)

7 Asia-Pacific Intelligent Driving Technologies Revenue by Countries

7.1 Asia-Pacific Intelligent Driving Technologies Revenue by Countries (2015-2020)

7.2 China Intelligent Driving Technologies Revenue and Growth Rate (2015-2020)

7.3 Japan Intelligent Driving Technologies Revenue and Growth Rate (2015-2020)

7.4 Korea Intelligent Driving Technologies Revenue and Growth Rate (2015-2020)

7.5 India Intelligent Driving Technologies Revenue and Growth Rate (2015-2020)

7.6 Southeast Asia Intelligent Driving Technologies Revenue and Growth Rate (2015-2020)

8 South America Intelligent Driving Technologies Revenue by Countries

8.1 South America Intelligent Driving Technologies Revenue by Countries (2015-2020)

8.2 Brazil Intelligent Driving Technologies Revenue and Growth Rate (2015-2020)

8.3 Argentina Intelligent Driving Technologies Revenue and Growth Rate (2015-2020)

9 Middle East & Africa Revenue Intelligent Driving Technologies by Countries

9.1 Middle East & Africa Intelligent Driving Technologies Revenue by Countries (2015-2020)

9.2 Saudi Arabia Intelligent Driving Technologies Revenue and Growth Rate (2015-2020)

9.3 UAE Intelligent Driving Technologies Revenue and Growth Rate (2015-2020)

9.4 Egypt Intelligent Driving Technologies Revenue and Growth Rate (2015-2020)

9.5 South Africa Intelligent Driving Technologies Revenue and Growth Rate (2015-2020)

10 Market Size Segment by Type

10.1 Global Intelligent Driving Technologies Revenue and Market Share by Type (2015-2020)

10.2 Global Intelligent Driving Technologies Market Forecast by Type (2019-2024)

10.3 LKA Revenue Growth Rate (2015-2025)

10.4 PAS/RAS Revenue Growth Rate (2015-2025)

10.5 CAS/BAS Revenue Growth Rate (2015-2025)

10.6 ACC Revenue Growth Rate (2015-2025)

10.7 NVS Revenue Growth Rate (2015-2025)

10.8 Others Revenue Growth Rate (2015-2025)

11 Global Intelligent Driving Technologies Market Segment by Application

11.1 Global Intelligent Driving Technologies Revenue Market Share by Application (2015-2020)

11.2 Intelligent Driving Technologies Market Forecast by Application (2019-2024)

11.3 Passenger Cars Revenue Growth (2015-2020)

11.4 Commercial Vehicles Revenue Growth (2015-2020)

11.5 Others Revenue Growth (2015-2020)

12 Global Intelligent Driving Technologies Market Size Forecast (2021-2025)

12.1 Global Intelligent Driving Technologies Market Size Forecast (2021-2025)

12.2 Global Intelligent Driving Technologies Market Forecast by Regions (2021-2025)

12.3 North America Intelligent Driving Technologies Revenue Market Forecast (2021-2025)

12.4 Europe Intelligent Driving Technologies Revenue Market Forecast (2021-2025)

12.5 Asia-Pacific Intelligent Driving Technologies Revenue Market Forecast (2021-2025)

12.6 South America Intelligent Driving Technologies Revenue Market Forecast (2021-2025)

12.7 Middle East & Africa Intelligent Driving Technologies Revenue Market Forecast (2021-2025)

13 Research Findings and Conclusion

14 Appendix

14.1 Methodology

14.2 Data Source

14.3 Disclaimer

14.4 About US


List of Tables

Table 1. Global Intelligent Driving Technologies Revenue (USD Million) by Type: 2015 VS 2019 VS 2025

Table 2. Breakdown of Intelligent Driving Technologies by Company Type (Tier 1, Tier 2 and Tier 3)

Table 3. Global Intelligent Driving Technologies Revenue (USD Million) by Application: 2015 VS 2019 VS 2025

Table 4. Global Market Intelligent Driving Technologies Revenue (Million USD) Comparison by Regions 2015-2025

Table 5. Eaton Corporate Information, Location and Competitors

Table 6. Eaton Intelligent Driving Technologies Major Business

Table 7. Eaton Intelligent Driving Technologies Total Revenue (USD Million) (2017-2018)

Table 8. Eaton SWOT Analysis

Table 9. Eaton Intelligent Driving Technologies Product and Solutions

Table 10. Eaton Intelligent Driving Technologies Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 11. Magna International Corporate Information, Location and Competitors

Table 12. Magna International Intelligent Driving Technologies Major Business

Table 13. Magna International Intelligent Driving Technologies Total Revenue (USD Million) (2018-2019)

Table 14. Magna International SWOT Analysis

Table 15. Magna International Intelligent Driving Technologies Product and Solutions

Table 16. Magna International Intelligent Driving Technologies Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 17. Oerlikon Corporate Information, Location and Competitors

Table 18. Oerlikon Intelligent Driving Technologies Major Business

Table 19. Oerlikon Intelligent Driving Technologies Total Revenue (USD Million) (2017-2018)

Table 20. Oerlikon SWOT Analysis

Table 21. Oerlikon Intelligent Driving Technologies Product and Solutions

Table 22. Oerlikon Intelligent Driving Technologies Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 23. GKN Corporate Information, Location and Competitors

Table 24. GKN Intelligent Driving Technologies Major Business

Table 25. GKN Intelligent Driving Technologies Total Revenue (USD Million) (2017-2018)

Table 26. GKN SWOT Analysis

Table 27. GKN Intelligent Driving Technologies Product and Solutions

Table 28. GKN Intelligent Driving Technologies Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 29. Continental Corporate Information, Location and Competitors

Table 30. Continental Intelligent Driving Technologies Major Business

Table 31. Continental Intelligent Driving Technologies Total Revenue (USD Million) (2017-2018)

Table 32. Continental SWOT Analysis

Table 33. Continental Intelligent Driving Technologies Product and Solutions

Table 34. Continental Intelligent Driving Technologies Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 35. Dana Corporate Information, Location and Competitors

Table 36. Dana Intelligent Driving Technologies Major Business

Table 37. Dana Intelligent Driving Technologies Total Revenue (USD Million) (2017-2018)

Table 38. Dana SWOT Analysis

Table 39. Dana Intelligent Driving Technologies Product and Solutions

Table 40. Dana Intelligent Driving Technologies Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 41. Jtekt Corporate Information, Location and Competitors

Table 42. Jtekt Intelligent Driving Technologies Major Business

Table 43. Jtekt Intelligent Driving Technologies Total Revenue (USD Million) (2017-2018)

Table 44. Jtekt SWOT Analysis

Table 45. Jtekt Intelligent Driving Technologies Product and Solutions

Table 46. Jtekt Intelligent Driving Technologies Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 47. ZF Corporate Information, Location and Competitors

Table 48. ZF Intelligent Driving Technologies Major Business

Table 49. ZF Intelligent Driving Technologies Total Revenue (USD Million) (2017-2018)

Table 50. ZF SWOT Analysis

Table 51. ZF Intelligent Driving Technologies Product and Solutions

Table 52. ZF Intelligent Driving Technologies Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 53. Ford Corporate Information, Location and Competitors

Table 54. Ford Intelligent Driving Technologies Major Business

Table 55. Ford Intelligent Driving Technologies Total Revenue (USD Million) (2017-2018)

Table 56. Ford SWOT Analysis

Table 57. Ford Intelligent Driving Technologies Product and Solutions

Table 58. Ford Intelligent Driving Technologies Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 59. Borgwarner Corporate Information, Location and Competitors

Table 60. Borgwarner Intelligent Driving Technologies Major Business

Table 61. Borgwarner Intelligent Driving Technologies Total Revenue (USD Million) (2017-2018)

Table 62. Borgwarner SWOT Analysis

Table 63. Borgwarner Intelligent Driving Technologies Product and Solutions

Table 64. Borgwarner Intelligent Driving Technologies Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 65. AAM Corporate Information, Location and Competitors

Table 66. AAM Intelligent Driving Technologies Major Business

Table 67. AAM Intelligent Driving Technologies Total Revenue (USD Million) (2017-2018)

Table 68. AAM SWOT Analysis

Table 69. AAM Intelligent Driving Technologies Product and Solutions

Table 70. AAM Intelligent Driving Technologies Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 71. Global Intelligent Driving Technologies Revenue (Million USD) by Players (2015-2020)

Table 72. Global Intelligent Driving Technologies Revenue Share by Players (2015-2020)

Table 73. Global Intelligent Driving Technologies Revenue (Million USD) by Regions (2015-2020)

Table 74. Global Intelligent Driving Technologies Revenue Market Share by Regions (2015-2020)

Table 75. North America Intelligent Driving Technologies Revenue by Countries (2015-2020)

Table 76. North America Intelligent Driving Technologies Revenue Market Share by Countries (2015-2020)

Table 77. Europe Intelligent Driving Technologies Revenue (Million USD) by Countries (2015-2020)

Table 78. Asia-Pacific Intelligent Driving Technologies Revenue (Million USD) by Countries (2015-2020)

Table 79. South America Intelligent Driving Technologies Revenue by Countries (2015-2020)

Table 80. South America Intelligent Driving Technologies Revenue Market Share by Countries (2015-2020)

Table 81. Middle East and Africa Intelligent Driving Technologies Revenue (Million USD) by Countries (2015-2020)

Table 82. Middle East and Africa Intelligent Driving Technologies Revenue Market Share by Countries (2015-2020)

Table 83. Global Intelligent Driving Technologies Revenue (Million USD) by Type (2015-2020)

Table 84. Global Intelligent Driving Technologies Revenue Share by Type (2015-2020)

Table 85. Global Intelligent Driving Technologies Revenue Forecast by Type (2021-2025)

Table 86. Global Intelligent Driving Technologies Revenue by Application (2015-2020)

Table 87. Global Intelligent Driving Technologies Revenue Share by Application (2015-2020)

Table 88. Global Intelligent Driving Technologies Revenue Forecast by Application (2021-2025)

Table 89. Global Intelligent Driving Technologies Revenue (Million USD) Forecast by Regions (2021-2025)

List of Figures

Figure 1. Intelligent Driving Technologies Picture

Figure 2. Global Intelligent Driving Technologies Revenue Market Share by Type in 2019

Figure 3. LKA Picture

Figure 4. PAS/RAS Picture

Figure 5. CAS/BAS Picture

Figure 6. ACC Picture

Figure 7. NVS Picture

Figure 8. Others Picture

Figure 9. Intelligent Driving Technologies Revenue Market Share by Application in 2019

Figure 10. Passenger Cars Picture

Figure 11. Commercial Vehicles Picture

Figure 12. Others Picture

Figure 13. Global Intelligent Driving Technologies Revenue (USD Million) and Growth Rate (2015-2025)

Figure 14. North America Intelligent Driving Technologies Revenue (Million USD) and Growth Rate (2015-2025)

Figure 15. Europe Intelligent Driving Technologies Revenue (Million USD) and Growth Rate (2015-2025)

Figure 16. Asia-Pacific Intelligent Driving Technologies Revenue (Million USD) and Growth Rate (2015-2025)

Figure 17. South America Intelligent Driving Technologies Revenue (Million USD) and Growth Rate (2015-2025)

Figure 18. Middle East and Africa Intelligent Driving Technologies Revenue (Million USD) and Growth Rate (2015-2025)

Figure 19. Global Intelligent Driving Technologies Revenue (Million USD) and Growth Rate (2015-2025)

Figure 20. Global Intelligent Driving Technologies Revenue Share by Players in 2019

Figure 21. Global Top 5 Players Intelligent Driving Technologies Revenue Market Share in 2019

Figure 22. Global Top 10 Players Intelligent Driving Technologies Revenue Market Share in 2019

Figure 23. Key Players Market Share Trend

Figure 24. Global Intelligent Driving Technologies Revenue (Million USD) and Growth Rate (%) (2015-2020)

Figure 25. Global Intelligent Driving Technologies Revenue Market Share by Regions (2015-2020)

Figure 26. Global Intelligent Driving Technologies Revenue Market Share by Regions in 2018

Figure 27. North America Intelligent Driving Technologies Revenue and Growth Rate (2015-2020)

Figure 28. Europe Intelligent Driving Technologies Revenue and Growth Rate (2015-2020)

Figure 29. Asia-Pacific Intelligent Driving Technologies Revenue and Growth Rate (2015-2020)

Figure 30. South America Intelligent Driving Technologies Revenue and Growth Rate (2015-2020)

Figure 31. Middle East and Africa Intelligent Driving Technologies Revenue and Growth Rate (2015-2020)

Figure 32. North America Intelligent Driving Technologies Revenue Market Share by Countries (2015-2020)

Figure 33. North America Intelligent Driving Technologies Revenue Market Share by Countries in 2019

Figure 34. USA Intelligent Driving Technologies Revenue and Growth Rate (2015-2020)

Figure 35. Canada Intelligent Driving Technologies Revenue and Growth Rate (2015-2020)

Figure 36. Mexico Intelligent Driving Technologies Revenue and Growth Rate (2015-2020)

Figure 37. Europe Intelligent Driving Technologies Revenue Market Share by Countries (2015-2020)

Figure 38. Europe Intelligent Driving Technologies Revenue Market Share by Countries in 2019

Figure 39. Germany Intelligent Driving Technologies Revenue and Growth Rate (2015-2020)

Figure 40. UK Intelligent Driving Technologies Revenue and Growth Rate (2015-2020)

Figure 41. France Intelligent Driving Technologies Revenue and Growth Rate (2015-2020)

Figure 42. Russia Intelligent Driving Technologies Revenue and Growth Rate (2015-2020)

Figure 43. Italy Intelligent Driving Technologies Revenue and Growth Rate (2015-2020)

Figure 44. Asia-Pacific Intelligent Driving Technologies Revenue Market Share by Countries (2015-2020)

Figure 45. Asia-Pacific Intelligent Driving Technologies Revenue Market Share by Countries in 2019

Figure 46. China Intelligent Driving Technologies Revenue and Growth Rate (2015-2020)

Figure 47. Japan Intelligent Driving Technologies Revenue and Growth Rate (2015-2020)

Figure 48. Korea Intelligent Driving Technologies Revenue and Growth Rate (2015-2020)

Figure 49. India Intelligent Driving Technologies Revenue and Growth Rate (2015-2020)

Figure 50. Southeast Asia Intelligent Driving Technologies Revenue and Growth Rate (2015-2020)

Figure 51. South America Intelligent Driving Technologies Revenue Market Share by Countries (2015-2020)

Figure 52. South America Intelligent Driving Technologies Revenue Market Share by Countries in 2019

Figure 53. Brazil Intelligent Driving Technologies Revenue and Growth Rate (2015-2020)

Figure 54. Argentina Intelligent Driving Technologies Revenue and Growth Rate (2015-2020)

Figure 55. Middle East and Africa Intelligent Driving Technologies Revenue Market Share by Countries (2015-2020)

Figure 56. Middle East and Africa Intelligent Driving Technologies Revenue Market Share by Countries in 2019

Figure 57. Saudi Arabia Intelligent Driving Technologies Revenue and Growth Rate (2015-2020)

Figure 58. UAE Intelligent Driving Technologies Revenue and Growth Rate (2015-2020)

Figure 59. Egypt Intelligent Driving Technologies Revenue and Growth Rate (2015-2020)

Figure 60. South Africa Intelligent Driving Technologies Revenue and Growth Rate (2015-2020)

Figure 61. Global Intelligent Driving Technologies Revenue Share by Type (2015-2020)

Figure 62. Global Intelligent Driving Technologies Revenue Share by Type in 2019

Figure 63. Global Intelligent Driving Technologies Market Share Forecast by Type (2021-2025)

Figure 64. Global LKA Revenue Growth Rate (2015-2020)

Figure 65. Global PAS/RAS Revenue Growth Rate (2015-2020)

Figure 66. Global CAS/BAS Revenue Growth Rate (2015-2020)

Figure 67. Global ACC Revenue Growth Rate (2015-2020)

Figure 68. Global NVS Revenue Growth Rate (2015-2020)

Figure 69. Global Others Revenue Growth Rate (2015-2020)

Figure 70. Global Intelligent Driving Technologies Revenue Share by Application (2015-2020)

Figure 71. Global Intelligent Driving Technologies Revenue Share by Application in 2019

Figure 72. Global Intelligent Driving Technologies Market Share Forecast by Application (2021-2025)

Figure 73. Global Passenger Cars Revenue Growth Rate (2015-2020)

Figure 74. Global Commercial Vehicles Revenue Growth Rate (2015-2020)

Figure 75. Global Others Revenue Growth Rate (2015-2020)

Figure 76. Global Intelligent Driving Technologies Revenue (Million USD) and Growth Rate Forecast (2021-2025)

Figure 77. Global Intelligent Driving Technologies Revenue (Million USD) Forecast by Regions (2021-2025)

Figure 78. Global Intelligent Driving Technologies Revenue Market Share Forecast by Regions (2021-2025)

Figure 79. North America Intelligent Driving Technologies Revenue Market Forecast (2021-2025)

Figure 80. Europe Intelligent Driving Technologies Revenue Market Forecast (2021-2025)

Figure 81. Asia-Pacific Intelligent Driving Technologies Revenue Market Forecast (2021-2025)

Figure 82. South America Intelligent Driving Technologies Revenue Market Forecast (2021-2025)

Figure 83. Middle East and Africa Intelligent Driving Technologies Revenue Market Forecast (2021-2025)

Figure 84. Sales Channel: Direct Channel vs Indirect Channel

Research Methodology

Market research is a method of gathering, assessing and deducing data & information about a particular market. Market research is very crucial in these days. The techniques analyze about how a product/service can be offered to the market to its end-customers, observe the impact of that product/service based on the past customer experiences, and cater their needs and demands. Owing to the successful business ventures, accurate, relevant and thorough information is the base for all the organizations because market research report/study offers specific market related data & information about the industry growth prospects, perspective of the existing customers, and the overall market scenario prevailed in past, ongoing present and developing future. It allows the stakeholders and investors to determine the probability of a business before committing substantial resources to the venture. Market research helps in solving the marketing issues challenges that a business will most likely face.

Market research is valuable because of the following reasons:

  • Market research helps businesses strengthen a company’s position
  • Market research helps in minimizing the investment risks associated with the businesses in any industry vertical
  • Market research helps in identifying the potential threats and opportunities associated with the business industry
  • Market research aids in spotting the emerging trends and facilitates strategic planning in order to stay ahead in the competition

Our research report features both the aspects; qualitative and quantitative. Qualitative part provides insights about the market driving forces, potential opportunities, customer’s demands and requirement which in turn help the companies to come up with new strategies in order to survive in the long run competition. The quantitative segment offers the most credible information related to the industry. Based on the data gathering, we use to derive the market size and estimate their future growth prospects on the basis of global, region and country.

Our market research process involves with the four specific stages.

  • Data Collection
  • Data Synthesis
  • Market Deduction & Formulation
  • Data Screening & Validation

Data Collection: This stage of the market research process involves with the gathering and collecting of the market/industry related data from the sources. There are basically two types of research methods:

  • Primary Research: By conducting primary research, it involves with the two types of data gathering; exploratory and specific. Exploratory data is open-ended and helps us to define a particular problem involving surveys, and pilot study to the specific consumer group, knowing their needs and wants catering to the industry related product/service offering. Explanatory data gathering follows with the bit of unstructured way. Our analyst group leads the study by focusing on the key crowd, in this manner picking up bits of knowledge from them. In light of the points of view of the clients, this data is used to plan advertise techniques. In addition, showcase overviews causes us to comprehend the current scenario of the business. Specific data gathering on the hand, involves with the more structured and formal way. The primary research usually includes in telephonic conversations, E-mail collaborations and up close and personal meetings/interviews with the raw material suppliers, industrial wholesalers, and independent consultants/specialists. The interviews that we conduct offers important information on showcase size and industry development patterns. Our company likewise conducts interviews with the different business specialists so as to increase generally bits of knowledge of the business/showcase.
  • Secondary Research: The secondary research incorporates with the data gathering from the non-profit associations and organizations, for example, World bank, WHO, investor relations and their presentations, statistical databases, yearly(annual reports) reports, national government records, factual databases, websites, articles, white papers, press releases, blogs and others. From the annual report, we deduce an organization's income/revenue generation to comprehend the key product segment related to the market. We examine the organization sites and implement product mapping strategy which is significant for determining the segment revenue. In the product mapping technique, we choose and categorize the products offered by the companies catering to the industry specific market, derive the segment revenue for each of the organizations to get the market estimation. We also gather data & Information based on the supply and demand side of the value chain involved with the domain specific market. The supply side denotes the distributors, wholesalers, suppliers and the demand side denotes the end-consumers/customers of the value chain. The supply side of the market is analyzed by examining the product growth across industry in each of the region followed by its pricing analysis. The demand side is analyzed by the evaluating the penetration level and adoption rates of the product by referring to the historical/past data, examine the present usage and forecasting the future trends. 
  • Purchased Database: Our purchased data provides insights about the key market players/companies along with their financial analysis. Additionally, our data base also includes market related information. 
    • We also have the agreements with various reputed data providers, consultants and third party vendors who provide information which are not limited to:
      • Export & Import Data
      • Business Information related to trade and its statistics
      • Penetration level of a particular product/service based on geography mainly focusing on the unmet prerequisites of the customers.
  • In-house Library: Apart from these third-party sources, we have our in-house library of quantitative and qualitative data & information. Our in-house database includes market data for various industry and domains. These data are updated on regular basis as per the changing market scenario. Our library includes, internal audit reports, historic databases, archives and journal publications. Sometimes there are instances where there is no metadata or raw data available for any domain specific market. For those particular cases, we utilize our expertise to forecast and estimate the market size in order to generate comprehensive data sets. Our analyst team adopts a robust research technique in order to deduce the market size and its estimates:
  • Examining demographic along with psychographic segmentation for market evaluation
  • Analyzing the macro and micro-economic indicators for each demography
  • Evaluating the current industry trends popular in the market.

Data Synthesis: This stage includes the evaluation and assessment of all the data acquired from the primary and secondary research. It likewise includes in evaluating the information for any disparity watched while information gathering identified with the market. The data & information is gathered with consideration to the heterogeneity of sources. Scientific and statistical methods are implemented for synthesizing dissimilar information sets and provide the relevant data which is fundamental for formulating strategies. Our organization has broad involvement with information amalgamation where the information goes through different stages:

  • Information Screening: Information screening is the way toward examining information/data gathered from the sources for errors/mistakes and amending it before data integration process. The screening includes in looking at raw information, identifying and distinguishing mistakes and managing missing information. The reason for the information screening is to ensure information is effectively entered or not. Our organization utilizes objective and precise information screening grades through repetitive quality checks.
  • Data Integration: The data integration method involves with the incorporation of numerous information streams. The data streams is important so as to deliver investigate examines that give overall market scenario to the investors. These information streams originate from different research contemplates and our in house database. After the screening of the information, our analysts conduct efficient integration of the data streams, optimizing connections between integrated surveys and syndicated data sources. There are two research approaches that we follow so as to coordinate our information; top down methodology and bottom up methodology. 
    • Top-down analysis generally refers to using broad factors as a basis for decision making. The top-down approach helps in identifying the overall market scenario along with the external and internal factors effecting the market growth.
    • The bottom-up approach takes a completely different approach. Generally, the bottom-up approach focuses its analysis on micro attributes and specific characteristics of the domain specific market.

Market Formulation & Deduction: The last stage includes assigning the data & information in a suitable way in order to derive market size. Analyst reviews and domain based opinions based on holistic approach of market estimation combined with industry investigation additionally features a crucial role in this stage.

This stage includes with the finalization of the market size and numbers that we have gathered from primary and secondary research. With the data & information addition, we ensure that there is no gap in the market information. Market trend analysis is finished by our analysts by utilizing data extrapolation procedures, which give the most ideal figures to the market.

Data Validation: Validation is the most crucial step in the process. Validation & re-validation through scientifically designed technique and process that helps us finalize data-points to be used for final calculations. This stage also involves with the data triangulation process. Data triangulation generally implicates the cross validation and matching the data which has been collected from primary and secondary research methods.

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