Table 245. Authors List of This Report
List of Figures
    Figure 1. Research Methodology
    Figure 2. Research Process
    Figure 3. Key Executives Interviewed
    Figure 4. Automotive Artificial Intelligence (AI) Product Picture
    Figure 5. Global Automotive Artificial Intelligence (AI) Market Size Comparison by Type (2023-2029) & (US$ Million)
    Figure 6. Global Automotive Artificial Intelligence (AI) Market Share by Type: 2022 VS 2029
    Figure 7. Hardware Product Picture
    Figure 8. Software Product Picture
    Figure 9. Service Product Picture
    Figure 10. Global Automotive Artificial Intelligence (AI) Market Size by Application (2023-2029) & (US$ Million)
    Figure 11. Global Automotive Artificial Intelligence (AI) Market Share by Application: 2022 VS 2029
    Figure 12. Passenger Car Product Picture
    Figure 13. Commercial Car Product Picture
    Figure 14. Global Automotive Artificial Intelligence (AI) Market Size (US$ Million), Year-over-Year: 2018-2029
    Figure 15. Global Automotive Artificial Intelligence (AI) Market Size, (US$ Million), 2018 VS 2022 VS 2029
    Figure 16. Global Automotive Artificial Intelligence (AI) Market Share by Region: 2022 VS 2029
    Figure 17. Global Automotive Artificial Intelligence (AI) Market Share by Players in 2022
    Figure 18. Global Automotive Artificial Intelligence (AI) Players, Date of Enter into This Industry
    Figure 19. Global Top 5 and 10 Automotive Artificial Intelligence (AI) Players Market Share by Revenue in 2022
    Figure 20. Players Type (Tier 1, Tier 2, and Tier 3): 2018 VS 2022
    Figure 21. North America Automotive Artificial Intelligence (AI) Market Size YoY Growth (2018-2029) & (US$ Million)
    Figure 22. North America Automotive Artificial Intelligence (AI) Market Share by Country (2018-2029)
    Figure 23. United States Automotive Artificial Intelligence (AI) Market Size YoY Growth (2018-2029) & (US$ Million)
    Figure 24. Canada Automotive Artificial Intelligence (AI) Market Size YoY Growth (2018-2029) & (US$ Million)
    Figure 25. Europe Automotive Artificial Intelligence (AI) Market Size YoY Growth (2018-2029) & (US$ Million)
    Figure 26. Europe Automotive Artificial Intelligence (AI) Market Share by Country (2018-2029)
    Figure 27. Germany Automotive Artificial Intelligence (AI) Market Size YoY Growth (2018-2029) & (US$ Million)
    Figure 28. France Automotive Artificial Intelligence (AI) Market Size YoY Growth (2018-2029) & (US$ Million)
    Figure 29. U.K. Automotive Artificial Intelligence (AI) Market Size YoY Growth (2018-2029) & (US$ Million)
    Figure 30. Italy Automotive Artificial Intelligence (AI) Market Size YoY Growth (2018-2029) & (US$ Million)
    Figure 31. Russia Automotive Artificial Intelligence (AI) Market Size YoY Growth (2018-2029) & (US$ Million)
    Figure 32. Nordic Countries Automotive Artificial Intelligence (AI) Market Size YoY Growth (2018-2029) & (US$ Million)
    Figure 33. Asia-Pacific Automotive Artificial Intelligence (AI) Market Size YoY Growth (2018-2029) & (US$ Million)
    Figure 34. Asia-Pacific Automotive Artificial Intelligence (AI) Market Share by Country (2018-2029)
    Figure 35. China Automotive Artificial Intelligence (AI) Market Size YoY Growth (2018-2029) & (US$ Million)
    Figure 36. Japan Automotive Artificial Intelligence (AI) Market Size YoY Growth (2018-2029) & (US$ Million)
    Figure 37. South Korea Automotive Artificial Intelligence (AI) Market Size YoY Growth (2018-2029) & (US$ Million)
    Figure 38. Southeast Asia Automotive Artificial Intelligence (AI) Market Size YoY Growth (2018-2029) & (US$ Million)
    Figure 39. India Automotive Artificial Intelligence (AI) Market Size YoY Growth (2018-2029) & (US$ Million)
    Figure 40. Australia Automotive Artificial Intelligence (AI) Market Size YoY Growth (2018-2029) & (US$ Million)
    Figure 41. Latin America Automotive Artificial Intelligence (AI) Market Size YoY Growth (2018-2029) & (US$ Million)
    Figure 42. Latin America Automotive Artificial Intelligence (AI) Market Share by Country (2018-2029)
    Figure 43. Mexico Automotive Artificial Intelligence (AI) Market Size YoY Growth (2018-2029) & (US$ Million)
    Figure 44. Brazil Automotive Artificial Intelligence (AI) Market Size YoY Growth (2018-2029) & (US$ Million)
    Figure 45. Middle East & Africa Automotive Artificial Intelligence (AI) Market Size YoY Growth (2018-2029) & (US$ Million)
    Figure 46. Middle East & Africa Automotive Artificial Intelligence (AI) Market Share by Country (2018-2029)
    Figure 47. Turkey Automotive Artificial Intelligence (AI) Market Size YoY Growth (2018-2029) & (US$ Million)
    Figure 48. Saudi Arabia Automotive Artificial Intelligence (AI) Market Size YoY Growth (2018-2029) & (US$ Million)
    Figure 49. UAE Automotive Artificial Intelligence (AI) Market Size YoY Growth (2018-2029) & (US$ Million)
    Figure 50. NVIDIA Revenue Growth Rate in Automotive Artificial Intelligence (AI) Business (2018-2023)
    Figure 51. Uber Technologies Revenue Growth Rate in Automotive Artificial Intelligence (AI) Business (2018-2023)
    Figure 52. Alphabet (Google) Revenue Growth Rate in Automotive Artificial Intelligence (AI) Business (2018-2023)
    Figure 53. Microsoft Revenue Growth Rate in Automotive Artificial Intelligence (AI) Business (2018-2023)
    Figure 54. BMW Revenue Growth Rate in Automotive Artificial Intelligence (AI) Business (2018-2023)
    Figure 55. Xilinx Revenue Growth Rate in Automotive Artificial Intelligence (AI) Business (2018-2023)
    Figure 56. Didi Revenue Growth Rate in Automotive Artificial Intelligence (AI) Business (2018-2023)
    Figure 57. Intel Revenue Growth Rate in Automotive Artificial Intelligence (AI) Business (2018-2023)
    Figure 58. Amazon Web Services Revenue Growth Rate in Automotive Artificial Intelligence (AI) Business (2018-2023)
    Figure 59. IBM Revenue Growth Rate in Automotive Artificial Intelligence (AI) Business (2018-2023)
    Figure 60. Toyota Motor Corporation Revenue Growth Rate in Automotive Artificial Intelligence (AI) Business (2018-2023)
    Figure 61. Audi Revenue Growth Rate in Automotive Artificial Intelligence (AI) Business (2018-2023)
    Figure 62. Micron Revenue Growth Rate in Automotive Artificial Intelligence (AI) Business (2018-2023)
    Figure 63. Samsung Revenue Growth Rate in Automotive Artificial Intelligence (AI) Business (2018-2023)
    Figure 64. Tesla Revenue Growth Rate in Automotive Artificial Intelligence (AI) Business (2018-2023)
    Figure 65. Hyundai Motor Corporation Revenue Growth Rate in Automotive Artificial Intelligence (AI) Business (2018-2023)
    Figure 66. Argo AI Revenue Growth Rate in Automotive Artificial Intelligence (AI) Business (2018-2023)
    Figure 67. SenseTime Revenue Growth Rate in Automotive Artificial Intelligence (AI) Business (2018-2023)
    Figure 68. Qualcomm Revenue Growth Rate in Automotive Artificial Intelligence (AI) Business (2018-2023)
    Figure 69. General Motors Company Revenue Growth Rate in Automotive Artificial Intelligence (AI) Business (2018-2023)

Highlights
The global Automotive Artificial Intelligence (AI) market is projected to reach US$ million by 2029 from an estimated US$ million in 2023, at a CAGR of % during 2024 and 2029.
North American market for Automotive Artificial Intelligence (AI) is estimated to increase from $ million in 2023 to reach $ million by 2029, at a CAGR of % during the forecast period of 2024 through 2029.
Asia-Pacific market for Automotive Artificial Intelligence (AI) is estimated to increase from $ million in 2023 to reach $ million by 2029, at a CAGR of % during the forecast period of 2024 through 2029.
The major global companies of Automotive Artificial Intelligence (AI) include NVIDIA, Uber Technologies, Alphabet (Google), Microsoft, BMW, Xilinx, Didi, Intel and Amazon Web Services, etc. In 2022, the world's top three vendors accounted for approximately % of the revenue.
The global market for Automotive Artificial Intelligence (AI) in Passenger Car is estimated to increase from $ million in 2023 to $ million by 2029, at a CAGR of % during the forecast period of 2024 through 2029.
Considering the economic change due to COVID-19 and Russia-Ukraine War Influence, Hardware, which accounted for % of the global market of Automotive Artificial Intelligence (AI) in 2022, is expected to reach million US$ by 2029, growing at a revised CAGR of % from 2024 to 2029. 
Report Scope
This report aims to provide a comprehensive presentation of the global market for Automotive Artificial Intelligence (AI), with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Automotive Artificial Intelligence (AI).
The Automotive Artificial Intelligence (AI) market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2022 as the base year, with history and forecast data for the period from 2018 to 2029. This report segments the global Automotive Artificial Intelligence (AI) market comprehensively. Regional market sizes, concerning products by types, by application, and by players, are also provided. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Automotive Artificial Intelligence (AI) companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, product type, application, and regions.
Key Companies & Market Share Insights
In this section, the readers will gain an understanding of the key players competing. This report has studied the key growth strategies, such as innovative trends and developments, intensification of product portfolio, mergers and acquisitions, collaborations, new product innovation, and geographical expansion, undertaken by these participants to maintain their presence. Apart from business strategies, the study includes current developments and key financials. The readers will also get access to the data related to global revenue by companies for the period 2017-2022. This all-inclusive report will certainly serve the clients to stay updated and make effective decisions in their businesses. Some of the prominent players reviewed in the research report include:
    NVIDIA
    Uber Technologies
    Alphabet (Google)
    Microsoft
    BMW
    Xilinx
    Didi
    Intel
    Amazon Web Services
    IBM
    Toyota Motor Corporation
    Audi
    Micron
    Samsung
    Tesla
    Hyundai Motor Corporation
    Argo AI
    SenseTime
    Qualcomm
    General Motors Company
Product Type Insights
Global markets are presented by Automotive Artificial Intelligence (AI) type, along with growth forecasts through 2029. Estimates on revenue are based on the price in the supply chain at which the Automotive Artificial Intelligence (AI) are procured by the companies.
This report has studied every segment and provided the market size using historical data. They have also talked about the growth opportunities that the segment may pose in the future. This study bestows revenue data by type, and during the historical period (2018-2023) and forecast period (2024-2029).
Automotive Artificial Intelligence (AI) segment by Type
    Hardware
    Software
    Service
Application Insights
This report has provided the market size (revenue data) by application, during the historical period (2018-2023) and forecast period (2024-2029).
This report also outlines the market trends of each segment and consumer behaviors impacting the Automotive Artificial Intelligence (AI) market and what implications these may have on the industry's future. This report can help to understand the relevant market and consumer trends that are driving the Automotive Artificial Intelligence (AI) market.
Automotive Artificial Intelligence (AI) Segment by Application
    Passenger Car
    Commercial Car
Regional Outlook
This section of the report provides key insights regarding various regions and the key players operating in each region. Economic, social, environmental, technological, and political factors have been taken into consideration while assessing the growth of the particular region/country. The readers will also get their hands on the revenue data of each region and country for the period 2018-2029.
The market has been segmented into various major geographies, including North America, Europe, Asia-Pacific, South America, Middle East & Africa. Detailed analysis of major countries such as the USA, Germany, the U.K., Italy, France, China, Japan, South Korea, Southeast Asia, and India will be covered within the regional segment. For market estimates, data are going to be provided for 2022 because of the base year, with estimates for 2023 and forecast revenue for 2029.
    North America
        United States
        Canada
    Europe
        Germany
        France
        UK
        Italy
        Russia
        Nordic Countries
        Rest of Europe
    Asia-Pacific
        China
        Japan
        South Korea
        Southeast Asia
        India
        Australia
        Rest of Asia
    Latin America
        Mexico
        Brazil
        Rest of Latin America
    Middle East & Africa
        Turkey
        Saudi Arabia
        UAE
        Rest of MEA
Key Drivers & Barriers
High-impact rendering factors and drivers have been studied in this report to aid the readers to understand the general development. Moreover, the report includes restraints and challenges that may act as stumbling blocks on the way of the players. This will assist the users to be attentive and make informed decisions related to business. Specialists have also laid their focus on the upcoming business prospects.
COVID-19 and Russia-Ukraine War Influence Analysis
The readers in the section will understand how the Automotive Artificial Intelligence (AI) market scenario changed across the globe during the pandemic, post-pandemic and Russia-Ukraine War. The study is done keeping in view the changes in aspects such as demand, consumption, transportation, consumer behavior, supply chain management. The industry experts have also highlighted the key factors that will help create opportunities for players and stabilize the overall industry in the years to come.
Reasons to Buy This Report
This report will help the readers to understand the competition within the industries and strategies for the competitive environment to enhance the potential profit. The report also focuses on the competitive landscape of the global Automotive Artificial Intelligence (AI) market, and introduces in detail the market share, industry ranking, competitor ecosystem, market performance, new product development, operation situation, expansion, and acquisition. etc. of the main players, which helps the readers to identify the main competitors and deeply understand the competition pattern of the market.
This report will help stakeholders to understand the global industry status and trends of Automotive Artificial Intelligence (AI) and provides them with information on key market drivers, restraints, challenges, and opportunities.
This report will help stakeholders to understand competitors better and gain more insights to strengthen their position in their businesses. The competitive landscape section includes the market share and rank (in volume and value), competitor ecosystem, new product development, expansion, and acquisition.
This report stays updated with novel technology integration, features, and the latest developments in the market
This report helps stakeholders to understand the COVID-19 and Russia-Ukraine War Influence on the Automotive Artificial Intelligence (AI) industry.
This report helps stakeholders to gain insights into which regions to target globally
This report helps stakeholders to gain insights into the end-user perception concerning the adoption of Automotive Artificial Intelligence (AI).
This report helps stakeholders to identify some of the key players in the market and understand their valuable contribution.
Core Chapters
Chapter 1: Research objectives, research methods, data sources, data cross-validation;
Chapter 2: Introduces the report scope of the report, executive summary of different market segments (product type, application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 3: Provides the analysis of various market segments product types, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 4: Provides the analysis of various market segments application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 5: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 6: Detailed analysis of Automotive Artificial Intelligence (AI) companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 7, 8, 9, 10, 11: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 12: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 13: The main points and conclusions of the report.
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