What is scope of the report?

The base year for the study has been considered 2019, historic year 2014 and 2018. Read More

What are the significant segments operating in the market?

Market is segmented on the basis. Read More

What are the vital market dynamics?

The report offers in-depth analysis of driving factors, opportunities, restraints, and challenges for gaining the key insight of the market. Read More

What does a company profile includes?

The report provides company profile of the key players operating in the market and a comparative analysis based on their business overviews industry offering. Read More

Global Automotive Artificial Intelligence (AI) Market 2020 by Company, Regions, Type and Application, Forecast to 2025

Publish Date: Mar, 2020
Report ID: 415752
Category: Technology
Pages: 101

$3480

Market Overview

The global Automotive Artificial Intelligence (AI) 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 Automotive Artificial Intelligence (AI) 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

Automotive Artificial Intelligence (AI) 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, Automotive Artificial Intelligence (AI) market has been segmented into:

Deep Learning

Machine Learning

Context Awareness

Computer Vision

Natural Language Processing

By Application, Automotive Artificial Intelligence (AI) has been segmented into:

Humanâ€“Machine Interface

Semi-autonomous Driving

Autonomous Driving

Regions and Countries Level Analysis

Regional analysis is another highly comprehensive part of the research and analysis study of the global Automotive Artificial Intelligence (AI) market presented in the report. This section sheds light on the sales growth of different regional and country-level Automotive Artificial Intelligence (AI) 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 Automotive Artificial Intelligence (AI) market.

The report offers in-depth assessment of the growth and other aspects of the Automotive Artificial Intelligence (AI) 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 Automotive Artificial Intelligence (AI) Market Share Analysis

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

The major players covered in Automotive Artificial Intelligence (AI) are:

Alphabet

Microsoft

Harman International

Bosch

Intel

Delphi

TomTom

NVIDIA

Xilinx

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Table of Contents

1 Automotive Artificial Intelligence (AI) Market Overview

1.1 Product Overview and Scope of Automotive Artificial Intelligence (AI)

1.2 Classification of Automotive Artificial Intelligence (AI) by Type

1.2.1 Global Automotive Artificial Intelligence (AI) Revenue by Type: 2015 VS 2019 VS 2025

1.2.2 Global Automotive Artificial Intelligence (AI) Revenue Market Share by Type in 2019

1.2.3 Deep Learning

1.2.4 Machine Learning

1.2.5 Context Awareness

1.2.6 Computer Vision

1.2.7 Natural Language Processing

1.3 Global Automotive Artificial Intelligence (AI) Market by Application

1.3.1 Overview: Global Automotive Artificial Intelligence (AI) Revenue by Application: 2015 VS 2019 VS 2025

1.3.2 Humanâ€“Machine Interface

1.3.3 Semi-autonomous Driving

1.3.4 Autonomous Driving

1.4 Global Automotive Artificial Intelligence (AI) Market by Regions

1.4.1 Global Automotive Artificial Intelligence (AI) Market Size by Regions: 2015 VS 2019 VS 2025

1.4.2 Global Market Size of Automotive Artificial Intelligence (AI) (2015-2025)

1.4.3 North America (USA, Canada and Mexico) Automotive Artificial Intelligence (AI) Status and Prospect (2015-2025)

1.4.4 Europe (Germany, France, UK, Russia and Italy) Automotive Artificial Intelligence (AI) Status and Prospect (2015-2025)

1.4.5 Asia-Pacific (China, Japan, Korea, India and Southeast Asia) Automotive Artificial Intelligence (AI) Status and Prospect (2015-2025)

1.4.6 South America (Brazil, Argentina, Colombia) Automotive Artificial Intelligence (AI) Status and Prospect (2015-2025)

1.4.7 Middle East & Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa) Automotive Artificial Intelligence (AI) Status and Prospect (2015-2025)

2 Company Profiles

2.1 Alphabet

2.1.1 Alphabet Details

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

2.1.3 Alphabet SWOT Analysis

2.1.4 Alphabet Product and Services

2.1.5 Alphabet Automotive Artificial Intelligence (AI) Revenue, Gross Margin and Market Share (2018-2019)

2.2 Microsoft

2.2.1 Microsoft Details

2.2.2 Microsoft Major Business and Total Revenue (Financial Highlights) Analysis

2.2.3 Microsoft SWOT Analysis

2.2.4 Microsoft Product and Services

2.2.5 Microsoft Automotive Artificial Intelligence (AI) Revenue, Gross Margin and Market Share (2018-2019)

2.3 Harman International

2.3.1 Harman International Details

2.3.2 Harman International Major Business and Total Revenue (Financial Highlights) Analysis

2.3.3 Harman International SWOT Analysis

2.3.4 Harman International Product and Services

2.3.5 Harman International Automotive Artificial Intelligence (AI) Revenue, Gross Margin and Market Share (2018-2019)

2.4 Bosch

2.4.1 Bosch Details

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

2.4.3 Bosch SWOT Analysis

2.4.4 Bosch Product and Services

2.4.5 Bosch Automotive Artificial Intelligence (AI) Revenue, Gross Margin and Market Share (2018-2019)

2.5 Intel

2.5.1 Intel Details

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

2.5.3 Intel SWOT Analysis

2.5.4 Intel Product and Services

2.5.5 Intel Automotive Artificial Intelligence (AI) Revenue, Gross Margin and Market Share (2018-2019)

2.6 Delphi

2.6.1 Delphi Details

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

2.6.3 Delphi SWOT Analysis

2.6.4 Delphi Product and Services

2.6.5 Delphi Automotive Artificial Intelligence (AI) Revenue, Gross Margin and Market Share (2018-2019)

2.7 TomTom

2.7.1 TomTom Details

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

2.7.3 TomTom SWOT Analysis

2.7.4 TomTom Product and Services

2.7.5 TomTom Automotive Artificial Intelligence (AI) Revenue, Gross Margin and Market Share (2018-2019)

2.8 NVIDIA

2.8.1 NVIDIA Details

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

2.8.3 NVIDIA SWOT Analysis

2.8.4 NVIDIA Product and Services

2.8.5 NVIDIA Automotive Artificial Intelligence (AI) Revenue, Gross Margin and Market Share (2018-2019)

2.9 Xilinx

2.9.1 Xilinx Details

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

2.9.3 Xilinx SWOT Analysis

2.9.4 Xilinx Product and Services

2.9.5 Xilinx Automotive Artificial Intelligence (AI) Revenue, Gross Margin and Market Share (2018-2019)

3 Market Competition, by Players

3.1 Global Automotive Artificial Intelligence (AI) Revenue and Share by Players (2015-2020)

3.2 Market Concentration Rate

3.2.1 Top 5 Automotive Artificial Intelligence (AI) Players Market Share

3.2.2 Top 10 Automotive Artificial Intelligence (AI) Players Market Share

3.3 Market Competition Trend

4 Market Size by Regions

4.1 Global Automotive Artificial Intelligence (AI) Revenue and Market Share by Regions

4.2 North America Automotive Artificial Intelligence (AI) Revenue and Growth Rate (2015-2020)

4.3 Europe Automotive Artificial Intelligence (AI) Revenue and Growth Rate (2015-2020)

4.4 Asia-Pacific Automotive Artificial Intelligence (AI) Revenue and Growth Rate (2015-2020)

4.5 South America Automotive Artificial Intelligence (AI) Revenue and Growth Rate (2015-2020)

4.6 Middle East & Africa Automotive Artificial Intelligence (AI) Revenue and Growth Rate (2015-2020)

5 North America Automotive Artificial Intelligence (AI) Revenue by Countries

5.1 North America Automotive Artificial Intelligence (AI) Revenue by Countries (2015-2020)

5.2 USA Automotive Artificial Intelligence (AI) Revenue and Growth Rate (2015-2020)

5.3 Canada Automotive Artificial Intelligence (AI) Revenue and Growth Rate (2015-2020)

5.4 Mexico Automotive Artificial Intelligence (AI) Revenue and Growth Rate (2015-2020)

6 Europe Automotive Artificial Intelligence (AI) Revenue by Countries

6.1 Europe Automotive Artificial Intelligence (AI) Revenue by Countries (2015-2020)

6.2 Germany Automotive Artificial Intelligence (AI) Revenue and Growth Rate (2015-2020)

6.3 UK Automotive Artificial Intelligence (AI) Revenue and Growth Rate (2015-2020)

6.4 France Automotive Artificial Intelligence (AI) Revenue and Growth Rate (2015-2020)

6.5 Russia Automotive Artificial Intelligence (AI) Revenue and Growth Rate (2015-2020)

6.6 Italy Automotive Artificial Intelligence (AI) Revenue and Growth Rate (2015-2020)

7 Asia-Pacific Automotive Artificial Intelligence (AI) Revenue by Countries

7.1 Asia-Pacific Automotive Artificial Intelligence (AI) Revenue by Countries (2015-2020)

7.2 China Automotive Artificial Intelligence (AI) Revenue and Growth Rate (2015-2020)

7.3 Japan Automotive Artificial Intelligence (AI) Revenue and Growth Rate (2015-2020)

7.4 Korea Automotive Artificial Intelligence (AI) Revenue and Growth Rate (2015-2020)

7.5 India Automotive Artificial Intelligence (AI) Revenue and Growth Rate (2015-2020)

7.6 Southeast Asia Automotive Artificial Intelligence (AI) Revenue and Growth Rate (2015-2020)

8 South America Automotive Artificial Intelligence (AI) Revenue by Countries

8.1 South America Automotive Artificial Intelligence (AI) Revenue by Countries (2015-2020)

8.2 Brazil Automotive Artificial Intelligence (AI) Revenue and Growth Rate (2015-2020)

8.3 Argentina Automotive Artificial Intelligence (AI) Revenue and Growth Rate (2015-2020)

9 Middle East & Africa Revenue Automotive Artificial Intelligence (AI) by Countries

9.1 Middle East & Africa Automotive Artificial Intelligence (AI) Revenue by Countries (2015-2020)

9.2 Saudi Arabia Automotive Artificial Intelligence (AI) Revenue and Growth Rate (2015-2020)

9.3 UAE Automotive Artificial Intelligence (AI) Revenue and Growth Rate (2015-2020)

9.4 Egypt Automotive Artificial Intelligence (AI) Revenue and Growth Rate (2015-2020)

9.5 South Africa Automotive Artificial Intelligence (AI) Revenue and Growth Rate (2015-2020)

10 Market Size Segment by Type

10.1 Global Automotive Artificial Intelligence (AI) Revenue and Market Share by Type (2015-2020)

10.2 Global Automotive Artificial Intelligence (AI) Market Forecast by Type (2019-2024)

10.3 Deep Learning Revenue Growth Rate (2015-2025)

10.4 Machine Learning Revenue Growth Rate (2015-2025)

10.5 Context Awareness Revenue Growth Rate (2015-2025)

10.6 Computer Vision Revenue Growth Rate (2015-2025)

10.7 Natural Language Processing Revenue Growth Rate (2015-2025)

11 Global Automotive Artificial Intelligence (AI) Market Segment by Application

11.1 Global Automotive Artificial Intelligence (AI) Revenue Market Share by Application (2015-2020)

11.2 Automotive Artificial Intelligence (AI) Market Forecast by Application (2019-2024)

11.3 Humanâ€“Machine Interface Revenue Growth (2015-2020)

11.4 Semi-autonomous Driving Revenue Growth (2015-2020)

11.5 Autonomous Driving Revenue Growth (2015-2020)

12 Global Automotive Artificial Intelligence (AI) Market Size Forecast (2021-2025)

12.1 Global Automotive Artificial Intelligence (AI) Market Size Forecast (2021-2025)

12.2 Global Automotive Artificial Intelligence (AI) Market Forecast by Regions (2021-2025)

12.3 North America Automotive Artificial Intelligence (AI) Revenue Market Forecast (2021-2025)

12.4 Europe Automotive Artificial Intelligence (AI) Revenue Market Forecast (2021-2025)

12.5 Asia-Pacific Automotive Artificial Intelligence (AI) Revenue Market Forecast (2021-2025)

12.6 South America Automotive Artificial Intelligence (AI) Revenue Market Forecast (2021-2025)

12.7 Middle East & Africa Automotive Artificial Intelligence (AI) 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 Automotive Artificial Intelligence (AI) Revenue (USD Million) by Type: 2015 VS 2019 VS 2025

Table 2. Breakdown of Automotive Artificial Intelligence (AI) by Company Type (Tier 1, Tier 2 and Tier 3)

Table 3. Global Automotive Artificial Intelligence (AI) Revenue (USD Million) by Application: 2015 VS 2019 VS 2025

Table 4. Global Market Automotive Artificial Intelligence (AI) Revenue (Million USD) Comparison by Regions 2015-2025

Table 5. Alphabet Corporate Information, Location and Competitors

Table 6. Alphabet Automotive Artificial Intelligence (AI) Major Business

Table 7. Alphabet Automotive Artificial Intelligence (AI) Total Revenue (USD Million) (2017-2018)

Table 8. Alphabet SWOT Analysis

Table 9. Alphabet Automotive Artificial Intelligence (AI) Product and Solutions

Table 10. Alphabet Automotive Artificial Intelligence (AI) Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 11. Microsoft Corporate Information, Location and Competitors

Table 12. Microsoft Automotive Artificial Intelligence (AI) Major Business

Table 13. Microsoft Automotive Artificial Intelligence (AI) Total Revenue (USD Million) (2018-2019)

Table 14. Microsoft SWOT Analysis

Table 15. Microsoft Automotive Artificial Intelligence (AI) Product and Solutions

Table 16. Microsoft Automotive Artificial Intelligence (AI) Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 17. Harman International Corporate Information, Location and Competitors

Table 18. Harman International Automotive Artificial Intelligence (AI) Major Business

Table 19. Harman International Automotive Artificial Intelligence (AI) Total Revenue (USD Million) (2017-2018)

Table 20. Harman International SWOT Analysis

Table 21. Harman International Automotive Artificial Intelligence (AI) Product and Solutions

Table 22. Harman International Automotive Artificial Intelligence (AI) Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 23. Bosch Corporate Information, Location and Competitors

Table 24. Bosch Automotive Artificial Intelligence (AI) Major Business

Table 25. Bosch Automotive Artificial Intelligence (AI) Total Revenue (USD Million) (2017-2018)

Table 26. Bosch SWOT Analysis

Table 27. Bosch Automotive Artificial Intelligence (AI) Product and Solutions

Table 28. Bosch Automotive Artificial Intelligence (AI) Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 29. Intel Corporate Information, Location and Competitors

Table 30. Intel Automotive Artificial Intelligence (AI) Major Business

Table 31. Intel Automotive Artificial Intelligence (AI) Total Revenue (USD Million) (2017-2018)

Table 32. Intel SWOT Analysis

Table 33. Intel Automotive Artificial Intelligence (AI) Product and Solutions

Table 34. Intel Automotive Artificial Intelligence (AI) Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 35. Delphi Corporate Information, Location and Competitors

Table 36. Delphi Automotive Artificial Intelligence (AI) Major Business

Table 37. Delphi Automotive Artificial Intelligence (AI) Total Revenue (USD Million) (2017-2018)

Table 38. Delphi SWOT Analysis

Table 39. Delphi Automotive Artificial Intelligence (AI) Product and Solutions

Table 40. Delphi Automotive Artificial Intelligence (AI) Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 41. TomTom Corporate Information, Location and Competitors

Table 42. TomTom Automotive Artificial Intelligence (AI) Major Business

Table 43. TomTom Automotive Artificial Intelligence (AI) Total Revenue (USD Million) (2017-2018)

Table 44. TomTom SWOT Analysis

Table 45. TomTom Automotive Artificial Intelligence (AI) Product and Solutions

Table 46. TomTom Automotive Artificial Intelligence (AI) Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 47. NVIDIA Corporate Information, Location and Competitors

Table 48. NVIDIA Automotive Artificial Intelligence (AI) Major Business

Table 49. NVIDIA Automotive Artificial Intelligence (AI) Total Revenue (USD Million) (2017-2018)

Table 50. NVIDIA SWOT Analysis

Table 51. NVIDIA Automotive Artificial Intelligence (AI) Product and Solutions

Table 52. NVIDIA Automotive Artificial Intelligence (AI) Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 53. Xilinx Corporate Information, Location and Competitors

Table 54. Xilinx Automotive Artificial Intelligence (AI) Major Business

Table 55. Xilinx Automotive Artificial Intelligence (AI) Total Revenue (USD Million) (2017-2018)

Table 56. Xilinx SWOT Analysis

Table 57. Xilinx Automotive Artificial Intelligence (AI) Product and Solutions

Table 58. Xilinx Automotive Artificial Intelligence (AI) Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 59. Global Automotive Artificial Intelligence (AI) Revenue (Million USD) by Players (2015-2020)

Table 60. Global Automotive Artificial Intelligence (AI) Revenue Share by Players (2015-2020)

Table 61. Global Automotive Artificial Intelligence (AI) Revenue (Million USD) by Regions (2015-2020)

Table 62. Global Automotive Artificial Intelligence (AI) Revenue Market Share by Regions (2015-2020)

Table 63. North America Automotive Artificial Intelligence (AI) Revenue by Countries (2015-2020)

Table 64. North America Automotive Artificial Intelligence (AI) Revenue Market Share by Countries (2015-2020)

Table 65. Europe Automotive Artificial Intelligence (AI) Revenue (Million USD) by Countries (2015-2020)

Table 66. Asia-Pacific Automotive Artificial Intelligence (AI) Revenue (Million USD) by Countries (2015-2020)

Table 67. South America Automotive Artificial Intelligence (AI) Revenue by Countries (2015-2020)

Table 68. South America Automotive Artificial Intelligence (AI) Revenue Market Share by Countries (2015-2020)

Table 69. Middle East and Africa Automotive Artificial Intelligence (AI) Revenue (Million USD) by Countries (2015-2020)

Table 70. Middle East and Africa Automotive Artificial Intelligence (AI) Revenue Market Share by Countries (2015-2020)

Table 71. Global Automotive Artificial Intelligence (AI) Revenue (Million USD) by Type (2015-2020)

Table 72. Global Automotive Artificial Intelligence (AI) Revenue Share by Type (2015-2020)

Table 73. Global Automotive Artificial Intelligence (AI) Revenue Forecast by Type (2021-2025)

Table 74. Global Automotive Artificial Intelligence (AI) Revenue by Application (2015-2020)

Table 75. Global Automotive Artificial Intelligence (AI) Revenue Share by Application (2015-2020)

Table 76. Global Automotive Artificial Intelligence (AI) Revenue Forecast by Application (2021-2025)

Table 77. Global Automotive Artificial Intelligence (AI) Revenue (Million USD) Forecast by Regions (2021-2025)

List of Figures

Figure 1. Automotive Artificial Intelligence (AI) Picture

Figure 2. Global Automotive Artificial Intelligence (AI) Revenue Market Share by Type in 2019

Figure 3. Deep Learning Picture

Figure 4. Machine Learning Picture

Figure 5. Context Awareness Picture

Figure 6. Computer Vision Picture

Figure 7. Natural Language Processing Picture

Figure 8. Automotive Artificial Intelligence (AI) Revenue Market Share by Application in 2019

Figure 9. Humanâ€“Machine Interface Picture

Figure 10. Semi-autonomous Driving Picture

Figure 11. Autonomous Driving Picture

Figure 12. Global Automotive Artificial Intelligence (AI) Revenue (USD Million) and Growth Rate (2015-2025)

Figure 13. North America Automotive Artificial Intelligence (AI) Revenue (Million USD) and Growth Rate (2015-2025)

Figure 14. Europe Automotive Artificial Intelligence (AI) Revenue (Million USD) and Growth Rate (2015-2025)

Figure 15. Asia-Pacific Automotive Artificial Intelligence (AI) Revenue (Million USD) and Growth Rate (2015-2025)

Figure 16. South America Automotive Artificial Intelligence (AI) Revenue (Million USD) and Growth Rate (2015-2025)

Figure 17. Middle East and Africa Automotive Artificial Intelligence (AI) Revenue (Million USD) and Growth Rate (2015-2025)

Figure 18. Global Automotive Artificial Intelligence (AI) Revenue (Million USD) and Growth Rate (2015-2025)

Figure 19. Global Automotive Artificial Intelligence (AI) Revenue Share by Players in 2019

Figure 20. Global Top 5 Players Automotive Artificial Intelligence (AI) Revenue Market Share in 2019

Figure 21. Global Top 10 Players Automotive Artificial Intelligence (AI) Revenue Market Share in 2019

Figure 22. Key Players Market Share Trend

Figure 23. Global Automotive Artificial Intelligence (AI) Revenue (Million USD) and Growth Rate (%) (2015-2020)

Figure 24. Global Automotive Artificial Intelligence (AI) Revenue Market Share by Regions (2015-2020)

Figure 25. Global Automotive Artificial Intelligence (AI) Revenue Market Share by Regions in 2018

Figure 26. North America Automotive Artificial Intelligence (AI) Revenue and Growth Rate (2015-2020)

Figure 27. Europe Automotive Artificial Intelligence (AI) Revenue and Growth Rate (2015-2020)

Figure 28. Asia-Pacific Automotive Artificial Intelligence (AI) Revenue and Growth Rate (2015-2020)

Figure 29. South America Automotive Artificial Intelligence (AI) Revenue and Growth Rate (2015-2020)

Figure 30. Middle East and Africa Automotive Artificial Intelligence (AI) Revenue and Growth Rate (2015-2020)

Figure 31. North America Automotive Artificial Intelligence (AI) Revenue Market Share by Countries (2015-2020)

Figure 32. North America Automotive Artificial Intelligence (AI) Revenue Market Share by Countries in 2019

Figure 33. USA Automotive Artificial Intelligence (AI) Revenue and Growth Rate (2015-2020)

Figure 34. Canada Automotive Artificial Intelligence (AI) Revenue and Growth Rate (2015-2020)

Figure 35. Mexico Automotive Artificial Intelligence (AI) Revenue and Growth Rate (2015-2020)

Figure 36. Europe Automotive Artificial Intelligence (AI) Revenue Market Share by Countries (2015-2020)

Figure 37. Europe Automotive Artificial Intelligence (AI) Revenue Market Share by Countries in 2019

Figure 38. Germany Automotive Artificial Intelligence (AI) Revenue and Growth Rate (2015-2020)

Figure 39. UK Automotive Artificial Intelligence (AI) Revenue and Growth Rate (2015-2020)

Figure 40. France Automotive Artificial Intelligence (AI) Revenue and Growth Rate (2015-2020)

Figure 41. Russia Automotive Artificial Intelligence (AI) Revenue and Growth Rate (2015-2020)

Figure 42. Italy Automotive Artificial Intelligence (AI) Revenue and Growth Rate (2015-2020)

Figure 43. Asia-Pacific Automotive Artificial Intelligence (AI) Revenue Market Share by Countries (2015-2020)

Figure 44. Asia-Pacific Automotive Artificial Intelligence (AI) Revenue Market Share by Countries in 2019

Figure 45. China Automotive Artificial Intelligence (AI) Revenue and Growth Rate (2015-2020)

Figure 46. Japan Automotive Artificial Intelligence (AI) Revenue and Growth Rate (2015-2020)

Figure 47. Korea Automotive Artificial Intelligence (AI) Revenue and Growth Rate (2015-2020)

Figure 48. India Automotive Artificial Intelligence (AI) Revenue and Growth Rate (2015-2020)

Figure 49. Southeast Asia Automotive Artificial Intelligence (AI) Revenue and Growth Rate (2015-2020)

Figure 50. South America Automotive Artificial Intelligence (AI) Revenue Market Share by Countries (2015-2020)

Figure 51. South America Automotive Artificial Intelligence (AI) Revenue Market Share by Countries in 2019

Figure 52. Brazil Automotive Artificial Intelligence (AI) Revenue and Growth Rate (2015-2020)

Figure 53. Argentina Automotive Artificial Intelligence (AI) Revenue and Growth Rate (2015-2020)

Figure 54. Middle East and Africa Automotive Artificial Intelligence (AI) Revenue Market Share by Countries (2015-2020)

Figure 55. Middle East and Africa Automotive Artificial Intelligence (AI) Revenue Market Share by Countries in 2019

Figure 56. Saudi Arabia Automotive Artificial Intelligence (AI) Revenue and Growth Rate (2015-2020)

Figure 57. UAE Automotive Artificial Intelligence (AI) Revenue and Growth Rate (2015-2020)

Figure 58. Egypt Automotive Artificial Intelligence (AI) Revenue and Growth Rate (2015-2020)

Figure 59. South Africa Automotive Artificial Intelligence (AI) Revenue and Growth Rate (2015-2020)

Figure 60. Global Automotive Artificial Intelligence (AI) Revenue Share by Type (2015-2020)

Figure 61. Global Automotive Artificial Intelligence (AI) Revenue Share by Type in 2019

Figure 62. Global Automotive Artificial Intelligence (AI) Market Share Forecast by Type (2021-2025)

Figure 63. Global Deep Learning Revenue Growth Rate (2015-2020)

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

Figure 65. Global Context Awareness Revenue Growth Rate (2015-2020)

Figure 66. Global Computer Vision Revenue Growth Rate (2015-2020)

Figure 67. Global Natural Language Processing Revenue Growth Rate (2015-2020)

Figure 68. Global Automotive Artificial Intelligence (AI) Revenue Share by Application (2015-2020)

Figure 69. Global Automotive Artificial Intelligence (AI) Revenue Share by Application in 2019

Figure 70. Global Automotive Artificial Intelligence (AI) Market Share Forecast by Application (2021-2025)

Figure 71. Global Humanâ€“Machine Interface Revenue Growth Rate (2015-2020)

Figure 72. Global Semi-autonomous Driving Revenue Growth Rate (2015-2020)

Figure 73. Global Autonomous Driving Revenue Growth Rate (2015-2020)

Figure 74. Global Automotive Artificial Intelligence (AI) Revenue (Million USD) and Growth Rate Forecast (2021-2025)

Figure 75. Global Automotive Artificial Intelligence (AI) Revenue (Million USD) Forecast by Regions (2021-2025)

Figure 76. Global Automotive Artificial Intelligence (AI) Revenue Market Share Forecast by Regions (2021-2025)

Figure 77. North America Automotive Artificial Intelligence (AI) Revenue Market Forecast (2021-2025)

Figure 78. Europe Automotive Artificial Intelligence (AI) Revenue Market Forecast (2021-2025)

Figure 79. Asia-Pacific Automotive Artificial Intelligence (AI) Revenue Market Forecast (2021-2025)

Figure 80. South America Automotive Artificial Intelligence (AI) Revenue Market Forecast (2021-2025)

Figure 81. Middle East and Africa Automotive Artificial Intelligence (AI) Revenue Market Forecast (2021-2025)

Figure 82. 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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Why Choose Us

ProactiveWe manage our resources 24/7 to identify issues and address them before they become problems

Quality & ReliabilityWe are committed to providing reliable and highly accurate data with an excellent quality control system

Global Outreach6 Major regions and 40+ countries level analysis accomplished

Competitive PricingOur pricing strategy is highly competitive in the market, without compensating on the quality and the timeline of project delivery

Testimonials

Hi John,
Thanks for the report. We've been going through it and see some good data on the market and players. –

Kennedy Brown
Health Technology Innovation
United States

Hi Rahul,
Thank You for the report it is good and beneficial for me.
Thank You in Advance

Mika Salomäki

Dear Siddhartha,
Thank you for your fast reply. The report arrived safe and sound, evrything looks all right.
Thank you very much for your assitance and I will be looking forward to another opportunity for cooperation.

ONDŘEJ ŠUPKA
Analytics Department
ČESKÁ ZBROJOVKA A.S.

Dear Siddhartha,
The report looks good, and we believe the material mix is more realistic now. It is good to know you report “Net” Manufacturing Selling Price, as that can make a difference in how we view the numbers. The reports were great and we appreciate your working with us.
Thanks for all your help!