Global Automotive Artificial Intelligence(AI) Market 2022 by Company, Regions, Type and Application, Forecast to 2028

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Published Date: 02 Jan 2022

Category: New Technology

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Description
Table of Contents
Table of Figures
Research Methodology
Companies Mentioned
Related Reports
Product Tags

Description

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, 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.

According to our latest research, the global Automotive Artificial Intelligence(AI) market size will reach USD 18140 million in 2028, growing at a CAGR of 30.1% over the analysis period
Global key companies of Automotive Artificial Intelligence(AI) include Alphabet, Bosch, Delphi, Harman International, and NVIDIA, etc. In terms of revenue, the global top four players hold a share over  % in 2021.

Market segmentation
Automotive Artificial Intelligence(AI) market is split by Type and by Application. For the period 2012-2028, the growth among segments provide accurate calculations and forecasts for revenue by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.

Market segment by Type, covers
    Deep Learning
    Machine Learning
    Context Awareness
    Computer Vision
    Natural Language Processing

Market segment by Application, can be divided into
    Human–Machine Interface
    Semi-autonomous Driving
    Autonomous Driving

Market segment by players, this report covers
    Alphabet
    Bosch
    Delphi
    Harman International
    NVIDIA
    TomTom
    Intel
    Microsoft
    Xilinx

Market segment by regions, regional analysis covers
    North America
    Europe
    Asia-Pacific (China, Japan, South Korea, Rest of Asia-Pacific)
    South America
    Middle East & Africa

The content of the study subjects, includes a total of 8 chapters:
Chapter 1, to describe Automotive Artificial Intelligence(AI) product scope, market overview, market opportunities, market driving force and market risks.
Chapter 2, to profile the top players of Automotive Artificial Intelligence(AI), with recent developments and future plans
Chapter 3, the Automotive Artificial Intelligence(AI) competitive situation, revenue and global market share of top players are analyzed emphatically by landscape contrast.
Chapter 4, to break the market size data at the region level, with key companies in the key region and Automotive Artificial Intelligence(AI) market forecast, by regions, with revenue, from 2022 to 2028.
Chapter 5 and 6, to segment the market size by Type and application, with revenue and growth rate by Type, application, from 2022 to 2028.
Chapter 7 and 8, to describe Automotive Artificial Intelligence(AI) research findings and conclusion, appendix and data source.

Table of Contents

1 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 Overview: Global Automotive Artificial Intelligence(AI) Market Size by Type: 2022 Versus 2028
        1.2.2 Global Automotive Artificial Intelligence(AI) Revenue Market Share by Type in 2028
        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) Market Size by Application: 2022 Versus 2028
        1.3.2 Human–Machine Interface
        1.3.3 Semi-autonomous Driving
        1.3.4 Autonomous Driving
    1.4 Global Automotive Artificial Intelligence(AI) Market Size & Forecast
    1.5 Market Drivers, Restraints and Trends
        1.5.1 Automotive Artificial Intelligence(AI) Market Drivers
        1.5.2 Automotive Artificial Intelligence(AI) Market Restraints
        1.5.3 Automotive Artificial Intelligence(AI) Trends Analysis

2 Company Profiles
    2.1 Alphabet
        2.1.1 Alphabet Details
        2.1.2 Alphabet Major Business
        2.1.3 Alphabet Automotive Artificial Intelligence(AI) Product and Solutions
        2.1.4 Alphabet Recent Developments and Future Plans
    2.2 Bosch
        2.2.1 Bosch Details
        2.2.2 Bosch Major Business
        2.2.3 Bosch Automotive Artificial Intelligence(AI) Product and Solutions
        2.2.4 Bosch Recent Developments and Future Plans
    2.3 Delphi
        2.3.1 Delphi Details
        2.3.2 Delphi Major Business
        2.3.3 Delphi Automotive Artificial Intelligence(AI) Product and Solutions
        2.3.4 Delphi Recent Developments and Future Plans
    2.4 Harman International
        2.4.1 Harman International Details
        2.4.2 Harman International Major Business
        2.4.3 Harman International Automotive Artificial Intelligence(AI) Product and Solutions
        2.4.4 Harman International Recent Developments and Future Plans
    2.5 NVIDIA
        2.5.1 NVIDIA Details
        2.5.2 NVIDIA Major Business
        2.5.3 NVIDIA Automotive Artificial Intelligence(AI) Product and Solutions
        2.5.4 NVIDIA Recent Developments and Future Plans
    2.6 TomTom
        2.6.1 TomTom Details
        2.6.2 TomTom Major Business
        2.6.3 TomTom Automotive Artificial Intelligence(AI) Product and Solutions
        2.6.4 TomTom Recent Developments and Future Plans
    2.7 Intel
        2.7.1 Intel Details
        2.7.2 Intel Major Business
        2.7.3 Intel Automotive Artificial Intelligence(AI) Product and Solutions
        2.7.4 Intel Recent Developments and Future Plans
    2.8 Microsoft
        2.8.1 Microsoft Details
        2.8.2 Microsoft Major Business
        2.8.3 Microsoft Automotive Artificial Intelligence(AI) Product and Solutions
        2.8.4 Microsoft Recent Developments and Future Plans
    2.9 Xilinx
        2.9.1 Xilinx Details
        2.9.2 Xilinx Major Business
        2.9.3 Xilinx Automotive Artificial Intelligence(AI) Product and Solutions
        2.9.4 Xilinx Recent Developments and Future Plans

3 Market Competition, by Players
    3.1 Global Automotive Artificial Intelligence(AI) Revenue and Share by Players (2022 & 2028)
    3.2 Automotive Artificial Intelligence(AI) Players Head Office, Products and Services Provided
    3.3 Automotive Artificial Intelligence(AI) Mergers & Acquisitions
    3.4 Automotive Artificial Intelligence(AI) New Entrants and Expansion Plans

4 Global Automotive Artificial Intelligence(AI) Forecast by Region
    4.1 Global Automotive Artificial Intelligence(AI) Market Size by Region: 2022 VS 2028
    4.2 Global Automotive Artificial Intelligence(AI) Market Size by Region, (2022-2028)
    4.3 North America
        4.3.1 Key Companies of Automotive Artificial Intelligence(AI) in North America
        4.3.2 Current Situation and Forecast of Automotive Artificial Intelligence(AI) in North America
        4.3.3 North America Automotive Artificial Intelligence(AI) Market Size and Prospect (2022-2028)
    4.4 Europe
        4.4.1 Key Companies of Automotive Artificial Intelligence(AI) in Europe
        4.4.2 Current Situation and Forecast of Automotive Artificial Intelligence(AI) in Europe
        4.4.3 Europe Automotive Artificial Intelligence(AI) Market Size and Prospect (2022-2028)
    4.5 Asia-Pacific
        4.5.1 Key Companies of Automotive Artificial Intelligence(AI) in Asia-Pacific
        4.5.2 Current Situation and Forecast of Automotive Artificial Intelligence(AI) in Asia-Pacific
        4.5.3 Asia-Pacific Automotive Artificial Intelligence(AI) Market Size and Prospect (2022-2028)
    4.6 South America
        4.6.1 Key Companies of Automotive Artificial Intelligence(AI) in South America
        4.6.2 Current Situation and Forecast of Automotive Artificial Intelligence(AI) in South America
        4.6.3 South America Automotive Artificial Intelligence(AI) Market Size and Prospect (2022-2028)
    4.7 Middle East & Africa
        4.7.1 Key Companies of Automotive Artificial Intelligence(AI) in Middle East & Africa
        4.7.2 Current Situation and Forecast of Automotive Artificial Intelligence(AI) in Middle East & Africa
        4.7.3 Middle East & Africa Automotive Artificial Intelligence(AI) Market Size and Prospect (2022-2028)

5 Market Size Segment by Type
    5.1 Global Automotive Artificial Intelligence(AI) Market Forecast by Type (2022-2028)
    5.2 Global Automotive Artificial Intelligence(AI) Market Share Forecast by Type (2022-2028)

6 Market Size Segment by Application
    6.1 Global Automotive Artificial Intelligence(AI) Market Forecast by Application (2022-2028)
    6.2 Global Automotive Artificial Intelligence(AI) Market Share Forecast by Application (2022-2028)

7 Research Findings and Conclusion

8 Appendix
    8.1 Methodology
    8.2 Research Process and Data Source
    8.3 Disclaimer

Table of Figures

List of Tables
    Table 1. Global Automotive Artificial Intelligence(AI) Revenue by Type, (USD Million), 2022 VS 2028
    Table 2. Global Automotive Artificial Intelligence(AI) Revenue by Application, (USD Million), 2022 VS 2028
    Table 3. Alphabet Corporate Information, Head Office, and Major Competitors
    Table 4. Alphabet Major Business
    Table 5. Alphabet Automotive Artificial Intelligence(AI) Product and Solutions
    Table 6. Bosch Corporate Information, Head Office, and Major Competitors
    Table 7. Bosch Major Business
    Table 8. Bosch Automotive Artificial Intelligence(AI) Product and Solutions
    Table 9. Delphi Corporate Information, Head Office, and Major Competitors
    Table 10. Delphi Major Business
    Table 11. Delphi Automotive Artificial Intelligence(AI) Product and Solutions
    Table 12. Harman International Corporate Information, Head Office, and Major Competitors
    Table 13. Harman International Major Business
    Table 14. Harman International Automotive Artificial Intelligence(AI) Product and Solutions
    Table 15. NVIDIA Corporate Information, Head Office, and Major Competitors
    Table 16. NVIDIA Major Business
    Table 17. NVIDIA Automotive Artificial Intelligence(AI) Product and Solutions
    Table 18. TomTom Corporate Information, Head Office, and Major Competitors
    Table 19. TomTom Major Business
    Table 20. TomTom Automotive Artificial Intelligence(AI) Product and Solutions
    Table 21. Intel Corporate Information, Head Office, and Major Competitors
    Table 22. Intel Major Business
    Table 23. Intel Automotive Artificial Intelligence(AI) Product and Solutions
    Table 24. Microsoft Corporate Information, Head Office, and Major Competitors
    Table 25. Microsoft Major Business
    Table 26. Microsoft Automotive Artificial Intelligence(AI) Product and Solutions
    Table 27. Xilinx Corporate Information, Head Office, and Major Competitors
    Table 28. Xilinx Major Business
    Table 29. Xilinx Automotive Artificial Intelligence(AI) Product and Solutions
    Table 30. Global Automotive Artificial Intelligence(AI) Revenue (USD Million) by Players (2022 & 2028)
    Table 31. Global Automotive Artificial Intelligence(AI) Revenue Share by Players (2022 & 2028)
    Table 32. Automotive Artificial Intelligence(AI) Players Head Office, Products and Services Provided
    Table 33. Automotive Artificial Intelligence(AI) Mergers & Acquisitions in the Past Five Years
    Table 34. Automotive Artificial Intelligence(AI) New Entrants and Expansion Plans
    Table 35. Global Market Automotive Artificial Intelligence(AI) Revenue (USD Million) Comparison by Region (2022 VS 2028)
    Table 36. Global Automotive Artificial Intelligence(AI) Revenue Market Share by Region (2022-2028)
    Table 37. Key Companies of Automotive Artificial Intelligence(AI) in North America
    Table 38. Current Situation and Forecast of Automotive Artificial Intelligence(AI) in North America
    Table 39. Key Companies of Automotive Artificial Intelligence(AI) in Europe
    Table 40. Current Situation and Forecast of Automotive Artificial Intelligence(AI) in Europe
    Table 41. Key Companies of Automotive Artificial Intelligence(AI) in Asia-Pacific
    Table 42. Current Situation and Forecast of Automotive Artificial Intelligence(AI) in Asia-Pacific
    Table 43. Key Companies of Automotive Artificial Intelligence(AI) in China
    Table 44. Key Companies of Automotive Artificial Intelligence(AI) in Japan
    Table 45. Key Companies of Automotive Artificial Intelligence(AI) in South Korea
    Table 46. Key Companies of Automotive Artificial Intelligence(AI) in South America
    Table 47. Current Situation and Forecast of Automotive Artificial Intelligence(AI) in South America
    Table 48. Key Companies of Automotive Artificial Intelligence(AI) in Middle East & Africa
    Table 49. Current Situation and Forecast of Automotive Artificial Intelligence(AI) in Middle East & Africa
    Table 50. Global Automotive Artificial Intelligence(AI) Revenue Forecast by Type (2022-2028)
    Table 51. Global Automotive Artificial Intelligence(AI) Revenue Forecast by Application (2022-2028)
List of Figures
    Figure 1. Automotive Artificial Intelligence(AI) Picture
    Figure 2. Global Automotive Artificial Intelligence(AI) Revenue Market Share by Type in 2028
    Figure 3. Deep Learning
    Figure 4. Machine Learning
    Figure 5. Context Awareness
    Figure 6. Computer Vision
    Figure 7. Natural Language Processing
    Figure 8. Automotive Artificial Intelligence(AI) Revenue Market Share by Application in 2028
    Figure 9. Human–Machine Interface Picture
    Figure 10. Semi-autonomous Driving Picture
    Figure 11. Autonomous Driving Picture
    Figure 12. Global Automotive Artificial Intelligence(AI) Market Size, (USD Million): 2022 VS 2028
    Figure 13. Global Automotive Artificial Intelligence(AI) Revenue and Forecast (2022-2028) & (USD Million)
    Figure 14. Automotive Artificial Intelligence(AI) Market Drivers
    Figure 15. Automotive Artificial Intelligence(AI) Market Restraints
    Figure 16. Automotive Artificial Intelligence(AI) Market Trends
    Figure 17. Alphabet Recent Developments and Future Plans
    Figure 18. Bosch Recent Developments and Future Plans
    Figure 19. Delphi Recent Developments and Future Plans
    Figure 20. Harman International Recent Developments and Future Plans
    Figure 21. NVIDIA Recent Developments and Future Plans
    Figure 22. TomTom Recent Developments and Future Plans
    Figure 23. Intel Recent Developments and Future Plans
    Figure 24. Microsoft Recent Developments and Future Plans
    Figure 25. Xilinx Recent Developments and Future Plans
    Figure 26. Global Automotive Artificial Intelligence(AI) Revenue Market Share by Region (2022-2028)
    Figure 27. Global Automotive Artificial Intelligence(AI) Revenue Market Share by Region in 2028
    Figure 28. North America Automotive Artificial Intelligence(AI) Revenue (USD Million) and Growth Rate (2022-2028)
    Figure 29. Europe Automotive Artificial Intelligence(AI) Revenue (USD Million) and Growth Rate (2022-2028)
    Figure 30. Asia-Pacific Automotive Artificial Intelligence(AI) Revenue (USD Million) and Growth Rate (2022-2028)
    Figure 31. South America Automotive Artificial Intelligence(AI) Revenue (USD Million) and Growth Rate (2022-2028)
    Figure 32. Middle East & Africa Automotive Artificial Intelligence(AI) Revenue (USD Million) and Growth Rate (2022-2028)
    Figure 33. Global Automotive Artificial Intelligence(AI) Market Share Forecast by Type (2022-2028)
    Figure 34. Global Automotive Artificial Intelligence(AI) Market Share Forecast by Application (2022-2028)
    Figure 35. Methodology
    Figure 36. Research Process and Data Source

Research Methodology

Client Requirements

Review and analyze client requirements

Discussion of all the project requirements and queries

Flexibility Check

Project Feasibility Analysis

Finalizing tentative research programme

Structuring project proposal with scope, timeline, and costs

Analyzing Market Dynamics

Determination of key drivers, restraints, challenge, and opportunity

Identifies market needs and trends

Market Size Estimation & Forecast

Estimation of historical data based on secondary and primary data

Anticipating market recast by assigning weightage to market forces (drivers, restraints, opportunities)

Freezing historical and forecast market size estimations based on evolution, trends, outlook, and strategies

Consideration of geography, region-specific product/service demand for region segments

Consideration of product utilization rates, product demand outlook for segments by application or end-user.

Data Source

Secondary Source
Data collections from annual reports, presentations,associations, journals, analyst reports, paid database, press releases, blogs, newsletters,and GIR repositories.

Primary Source
Research discussion with manufacturers, distributors, suppliers, end user, industry experts to verify insights.

Validation and
triangulation of
secondary and primary source.

Collection of data

Cumulating and collating the essential qualitative and quantitative data

Generation of report in client requested format by research analysts

Reviews by expert analysts

Final quality check

Clarifying queries

Receiving feedback

Ensuring satisfaction

01 Identification of data

This step involves identification of several primary and secondary data research sources, including Global Info Research's internal data sources. The primary sources consist of in-depth discussions and interviews with policy makers, industry experts, and data evaluators, whereas secondary sources include a thorough study of market journals, press releases, annual reports, and government and non-government agencies websites.
02 Evaluation of Market Dynamic

This phase includes a detailed evaluation of several factors that are likely to affect the market dynamics. It involves a comprehensive assessment of major market pain points, drivers, and trends. It also comprises a detailed study of research plans and methodology.
03 Collection of Data

This process consists of gathering data, accessing proprietary databases, and reaching out to key industry participants that operate in the market across the value chain. It also involves studying several patterns in the historical data and comparing it with the current scenario.
04 Collaboration of Data

This stage involves the validation of data and arrival at actual statistics, and evolution of the market over the years. It entails the study and analyzes various segments and verticals of the market. An impact analysis is also performed to observe which factors will affect the market in the next few years.
05 Verification and Analysis

This is the final stage, which involves both quantity and quality checks. Although the process of data verification is an integral part of the research process, all data points and statistics and figures are re-checked to uphold their authenticity and validity.

Companies Mentioned

Alphabet
Bosch
Delphi
Harman International
NVIDIA
TomTom
Intel
Microsoft
Xilinx

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