Global Automotive Artificial Intelligence Market Size, Share, Trends, Industry Growth by Offering (Hardware, Software), by Technology (Deep Learning, ML, NLP, Context-aware Computing, Computer Vision), by Component, by Process, by Application, by Region, and Forecast to 2028
Report ID: RC155606 | Report Format: PDF + Excel | Starting Price: 3600/- USD | Last Updated: June 29th, 2023The global automotive artificial intelligence market size is anticipated to register a higher CAGR of around 22% during the forecast period from 2022 to 2028. The increasing demand for autonomous vehicles and the growing adoption of ADAS technology are some major factors driving the market growth. Furthermore, the increasing penetration of AI in traffic management, growing demand for enhanced user experience & convenience features, and advanced automotive solutions are further anticipated to boost the market over the forecast period. Moreover, the increasing government initiatives for vehicles and road safety, and the development of new technologies such as autonomous mobility, AI-enabled automotive, rapid prototyping, and vehicle simulations are projected to propel the market in the next upcoming years.
Market Drivers:
Advancements in Autonomous Driving Technologies: The development and adoption of autonomous driving technologies are major drivers of the automotive AI market. AI-powered systems, such as computer vision, sensor fusion, machine learning, and deep learning, enable vehicles to perceive their surroundings, make real-time decisions, and navigate autonomously. The increasing focus on self-driving cars and the advancements in AI algorithms and hardware accelerate the growth of the automotive AI market.
Growing Demand for Connected Cars: Connected car technologies, including vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication, require AI capabilities for data processing, real-time analysis, and decision-making. AI enables vehicles to collect and analyze vast amounts of data from various sources, such as sensors, cameras, and GPS, enhancing the overall connectivity and functionality of the vehicle. The increasing demand for connected car features drives the integration of AI in automotive systems.
Enhanced User Experience and Infotainment: AI technologies are being utilized to enhance the user experience and infotainment systems in vehicles. Natural language processing (NLP) and voice recognition enable voice-activated controls, virtual assistants, and personalized user experiences. AI-powered infotainment systems provide advanced features like predictive recommendations, intelligent navigation, and personalized content, enhancing convenience and entertainment for passengers.
Improved Vehicle Safety and Security: AI-based technologies contribute to improving vehicle safety and security. AI algorithms enable advanced driver-assistance systems (ADAS) that assist drivers in various tasks, including lane keeping, adaptive cruise control, and collision avoidance. AI can analyze sensor data in real-time to detect potential hazards and take proactive measures to prevent accidents. Additionally, AI is utilized in cybersecurity solutions to protect vehicles from cyber threats and ensure secure communication between vehicle components.
Data-Driven Vehicle Maintenance and Predictive Analytics: AI plays a vital role in data-driven vehicle maintenance and predictive analytics. By collecting and analyzing data from sensors, AI algorithms can predict and detect potential failures and maintenance needs in vehicles. This enables proactive maintenance scheduling, reduces downtime, and improves the overall efficiency and reliability of vehicles. AI also facilitates predictive analytics for vehicle performance optimization and fleet management.
Energy Efficiency and Environmental Concerns: AI technologies are employed to optimize energy efficiency in vehicles and reduce environmental impact. AI algorithms can optimize powertrain systems, manage energy consumption, and improve fuel efficiency. The development of AI-based electric vehicle (EV) technologies, including battery management systems and intelligent charging infrastructure, contributes to the growth of the automotive AI market while addressing environmental concerns.
Partnerships and Collaborations: The automotive industry involves collaborations between automakers, technology companies, and AI solution providers. Partnerships and collaborations enable the integration of AI technologies into vehicles and facilitate research and development activities. These collaborations foster innovation, drive technological advancements, and expand the adoption of AI in the automotive sector.
Government Regulations and Safety Standards: Governments worldwide are implementing regulations and safety standards to ensure the safe and reliable integration of AI technologies in vehicles. These regulations address autonomous driving, cybersecurity, data privacy, and safety requirements. Compliance with these regulations drives the adoption of AI technologies in the automotive industry.
Market Snapshot:
Benchmark Year | 2022 | ||
Market Size | lock | ||
Market Growth (CAGR) | ~ 22% (2023-2030) | ||
Largest Market Share | North America | ||
Analysis Period | 2020-2030 | ||
Market Players | Nvidia Corporation, Alphabet Inc., Intel Corporation, Microsoft Corporation, and IBM Corporation |
Market Insights:
By technology, the machine learning segment is expected to hold the largest market share by 2028
The global automotive artificial intelligence market is bifurcated into offering, technology, component, process, application, and geography. On the basis of technology, the market is further segmented into deep learning, machine learning, context- aware computing, computer vision, and natural language processing. The machine learning segment dominated the global market in 2021 and accounted to hold the largest revenue share of over 1/3 of the global market. The machine learning algorithms apply the ability to analyze and learn from various driving solutions, which reduces accidents and makes cars more safer and efficient. On the flip side, the computer vision segment is estimated to register the fastest CAGR of the market by the end of the analysis period.
By application, the human-machine interface segment held the largest revenue share of the global market tin 2021
On the basis of application, the market is segmented into human–machine interface, semi-autonomous driving, autonomous driving, and others. The human-machine interface segment dominated the global automotive artificial intelligence market in 2021 and expected to grow at the same trend over the forecast period. The HMI allows users to interact with the vehicle by providing convenience, information, and entertainment. Advanced HMI solutions are being incorporated by OEMs to provide a new and unique experience to users. The increasing adoption of HI solutions by OEMs to provide new features and better user experience is anticipated to fuel the segment growth over the forecast period.
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The automotive artificial intelligence comprehensive study analyzes industry trends, market size, competitive analysis, and market forecast – 2022 to 2028. Research Corridor report provides detailed premium insight into the global market and reveals the potential revenue streams, commercial prospects, market drivers, challenges, opportunities, issues, and events affecting the industry. In addition, the report has a dedicated section covering market forecasts and analysis for leading geographies, profiles of major companies operating in the market and expert opinion obtained from interviews with industry executives and experts from prominent companies.
The automotive artificial intelligence market research report presents the analysis of each segment from 2019 to 2028 considering 2021 as the base year for the research. The compounded annual growth rate (CAGR) for each respective segment is calculated for the forecast period from 2022 to 2028.
Historical & Forecast Period
- 2019-20 – Historical Year
- 2021 – Base Year
- 2022-2028 – Forecast Period
Market Segmentation:
By Offering:
- Hardware
- Software
By Technology:
- Deep Learning
- Machine Learning
- Context-aware Computing
- Computer Vision
- Natural Language Processing
By Component:
- Graphics Processing Unit (GPU)
- Microprocessors (Incl. ASIC)
- Field Programmable Gate Array (FPGA)
- Memory and Storage systems
- Image Sensors
- Biometric Scanners
- Others
By Process:
- Signal Recognition
- Image Recognition
- Data Mining
By Application:
- Human–Machine Interface
- Semi-autonomous Driving
- Autonomous Driving
- Identity Authentication
- Driver Monitoring
- Autonomous Driving Processor Chips
By Region:
- North America
- Europe
- Asia Pacific
- Latin America
- Middle East & Africa
Regional Analysis:
By region, North America is expected to dominate the global market by the end of the analysis period
On the basis of region, North America dominated the global automotive artificial intelligence market in 2021 and expected to hold the largest revenue share of over 1/3 market share by 2028. The early adoption of new technology such as artificial intelligence and machine learning, and the presence of major market players are some major factors driving the market growth. On the other hand, the Asia Pacific is estimated to grow at the fastest CAGR over the forecast period. The increasing demand for premium passenger vehicles coupled with the growing adoption of AI and the increasing disposable income per capita is expected to fuel the market growth in the region.
Geographically, the automotive artificial intelligence market report comprises dedicated sections centering on the regional market revenue and trends. The automotive artificial intelligence market has been segmented on the basis of geographic regions into North America, Europe, Asia Pacific, Latin America, and the Middle East & Africa. The automotive artificial intelligence market has been extensively analyzed on the basis of various regional factors such as demographics, gross domestic product (GDP), inflation rate, acceptance, and others. Automotive artificial intelligence market estimates have also been provided for the historical years 2019 & 2020 along with forecasts for the period from 2022 – 2028.
Competitive Assessment:
Some of the major market players operating in the global automotive artificial intelligence market are Nvidia Corporation, Alphabet Inc., Intel Corporation, Microsoft Corporation, and IBM Corporation. Companies are exploring markets through expansion, new investment, the introduction of new services, and collaboration as their preferred strategies. Players are exploring new geography through expansion and acquisition to gain a competitive advantage through joint synergy.
Key Companies:
- Nvidia Corporation
- Alphabet Inc.
- Intel Corporation
- Microsoft Corporation
- IBM Corporation
- Qualcomm Inc.
- Tesla Inc.
- BMW AG
- Micron Technology
- Xilinx Inc.
- Harman International Industries Inc.
- Volvo Car Corporation
Key Questions Answered by Automotive Artificial Intelligence Market Report
- Global automotive artificial intelligence market forecasts from 2022-2028
- Regional market forecasts from 2022-2028 covering Asia-Pacific, North America, Europe, Middle East & Africa, and Latin America
- Country-level forecasts from 2022-2028 covering 15 major countries from the regions as mentioned above
- Automotive artificial intelligence submarket forecasts from 2022-2028 covering the market by offering, technology, component, process, application, and geography
- Various industry models such as SWOT analysis, Value Chain Analysis about the market
- Analysis of the key factors driving and restraining the growth of the global, regional, and country-level automotive artificial intelligence markets from 2022-2028
- Competitive Landscape and market positioning of top 10 players operating in the market
1. Preface
1.1. Report Description
1.1.1. Purpose of the Report
1.1.2. Target Audience
1.1.3. USP and Key Offerings
1.2. Research Scope
1.3. Research Methodology
1.3.1. Phase I – Secondary Research
1.3.2. Phase II – Primary Research
1.3.3. Phase III – Expert Panel Review
1.4. Assumptions
2. Executive Summary
2.1. Global Automotive Artificial Intelligence Market Portraiture
2.2. Global Automotive Artificial Intelligence Market, by Offering, 2021 (USD Mn)
2.3. Global Automotive Artificial Intelligence Market, by Technology, 2021 (USD Mn)
2.4. Global Automotive Artificial Intelligence Market, by Component, 2021 (USD Mn)
2.5. Global Automotive Artificial Intelligence Market, by Process, 2021 (USD Mn)
2.6. Global Automotive Artificial Intelligence Market, by Application, 2021 (USD Mn)
2.7. Global Automotive Artificial Intelligence Market, by Geography, 2021 (USD Mn)
3. Global Automotive Artificial Intelligence Market Analysis
3.1. Automotive Artificial Intelligence Market Overview
3.2. Market Inclination Insights
3.3. Market Dynamics
3.3.1. Drivers
3.3.2. Challenges
3.3.3. Opportunities
3.4. Attractive Investment Proposition
3.5. Competitive Analysis
3.6. Porter’s Five Force Analysis
3.6.1. Bargaining Power of Suppliers
3.6.2. Bargaining Power of Buyers
3.6.3. Threat of New Entrants
3.6.4. Threat of Substitutes
3.6.5. Degree of Competition
3.7. COVID-19 Impact Analysis
4. Global Automotive Artificial Intelligence Market By Offering, 2019 – 2028 (USD Mn)
4.1. Overview
4.2. Hardware
4.3. Software
5. Global Automotive Artificial Intelligence Market By Technology, 2019 – 2028 (USD Mn)
5.1. Overview
5.2. Deep Learning
5.3. Machine Learning
5.4. Context-aware Computing
5.5. Computer Vision
5.6. Natural Language Processing
6. Global Automotive Artificial Intelligence Market By Component, 2019 – 2028 (USD Mn)
6.1. Overview
6.2. Graphics Processing Unit (GPU)
6.3. Microprocessors (Incl. ASIC)
6.4. Field Programmable Gate Array (FPGA)
6.5. Memory and Storage systems
6.6. Image Sensors
6.7. Biometric Scanners
6.8. Others
7. Global Automotive Artificial Intelligence Market By Process, 2019 – 2028 (USD Mn)
7.1. Overview
7.2. Signal Recognition
7.3. Image Recognition
7.4. Data Mining
8. Global Automotive Artificial Intelligence Market By Application, 2019 – 2028 (USD Mn)
8.1. Overview
8.2. Human–Machine Interface
8.3. Semi-autonomous Driving
8.4. Autonomous Driving
8.5. Identity Authentication
8.6. Driver Monitoring
8.7. Autonomous Driving Processor Chips
9. North America Automotive Artificial Intelligence Market Analysis and Forecast, 2019 – 2028 (USD Mn)
9.1. Overview
9.2. North America Automotive Artificial Intelligence Market by Offering, (2019-2028 USD Mn)
9.3. North America Automotive Artificial Intelligence Market by Technology, (2019-2028 USD Mn)
9.4. North America Automotive Artificial Intelligence Market by Component, (2019-2028 USD Mn)
9.5. North America Automotive Artificial Intelligence Market by Process, (2019-2028 USD Mn)
9.6. North America Automotive Artificial Intelligence Market by Application, (2019-2028 USD Mn)
9.7. North America Automotive Artificial Intelligence Market by Country, (2019-2028 USD Mn)
9.7.1. U.S.
9.7.1.1. U.S. Automotive Artificial Intelligence Market by Offering, (2019-2028 USD Mn)
9.7.1.2. U.S. Automotive Artificial Intelligence Market by Technology, (2019-2028 USD Mn)
9.7.1.3. U.S. Automotive Artificial Intelligence Market by Component, (2019-2028 USD Mn)
9.7.1.4. U.S. Automotive Artificial Intelligence Market by Process, (2019-2028 USD Mn)
9.7.1.5. U.S. Automotive Artificial Intelligence Market by Application, (2019-2028 USD Mn)
9.7.2. Canada
9.7.2.1. Canada Automotive Artificial Intelligence Market by Offering, (2019-2028 USD Mn)
9.7.2.2. Canada Automotive Artificial Intelligence Market by Technology, (2019-2028 USD Mn)
9.7.2.3. Canada Automotive Artificial Intelligence Market by Component, (2019-2028 USD Mn)
9.7.2.4. Canada Automotive Artificial Intelligence Market by Process, (2019-2028 USD Mn)
9.7.2.5. Canada Automotive Artificial Intelligence Market by Application, (2019-2028 USD Mn)
10. Europe Automotive Artificial Intelligence Market Analysis and Forecast, 2019 – 2028 (USD Mn)
10.1. Overview
10.2. Europe Automotive Artificial Intelligence Market by Offering, (2019-2028 USD Mn)
10.3. Europe Automotive Artificial Intelligence Market by Technology, (2019-2028 USD Mn)
10.4. Europe Automotive Artificial Intelligence Market by Component, (2019-2028 USD Mn)
10.5. Europe Automotive Artificial Intelligence Market by Process, (2019-2028 USD Mn)
10.6. Europe Automotive Artificial Intelligence Market by Application, (2019-2028 USD Mn)
10.7. Europe Automotive Artificial Intelligence Market by Country, (2019-2028 USD Mn)
10.7.1. Germany
10.7.1.1. Germany Automotive Artificial Intelligence Market by Offering, (2019-2028 USD Mn)
10.7.1.2. Germany Automotive Artificial Intelligence Market by Technology, (2019-2028 USD Mn)
10.7.1.3. Germany Automotive Artificial Intelligence Market by Component, (2019-2028 USD Mn)
10.7.1.4. Germany Automotive Artificial Intelligence Market by Process, (2019-2028 USD Mn)
10.7.1.5. Germany Automotive Artificial Intelligence Market by Application, (2019-2028 USD Mn)
10.7.2. U.K.
10.7.2.1. U.K. Automotive Artificial Intelligence Market by Offering, (2019-2028 USD Mn)
10.7.2.2. U.K. Automotive Artificial Intelligence Market by Technology, (2019-2028 USD Mn)
10.7.2.3. U.K. Automotive Artificial Intelligence Market by Component, (2019-2028 USD Mn)
10.7.2.4. U.K. Automotive Artificial Intelligence Market by Process, (2019-2028 USD Mn)
10.7.2.5. U.K. Automotive Artificial Intelligence Market by Application, (2019-2028 USD Mn)
10.7.3. France
10.7.3.1. France Automotive Artificial Intelligence Market by Offering, (2019-2028 USD Mn)
10.7.3.2. France Automotive Artificial Intelligence Market by Technology, (2019-2028 USD Mn)
10.7.3.3. France Automotive Artificial Intelligence Market by Component, (2019-2028 USD Mn)
10.7.3.4. France Automotive Artificial Intelligence Market by Process, (2019-2028 USD Mn)
10.7.3.5. France Automotive Artificial Intelligence Market by Application, (2019-2028 USD Mn)
10.7.4. Spain
10.7.4.1. Spain Automotive Artificial Intelligence Market by Offering, (2019-2028 USD Mn)
10.7.4.2. Spain Automotive Artificial Intelligence Market by Technology, (2019-2028 USD Mn)
10.7.4.3. Spain Automotive Artificial Intelligence Market by Component, (2019-2028 USD Mn)
10.7.4.4. Spain Automotive Artificial Intelligence Market by Process, (2019-2028 USD Mn)
10.7.4.5. Spain Automotive Artificial Intelligence Market by Application, (2019-2028 USD Mn)
10.7.5. Italy
10.7.5.1. Italy Automotive Artificial Intelligence Market by Offering, (2019-2028 USD Mn)
10.7.5.2. Italy Automotive Artificial Intelligence Market by Technology, (2019-2028 USD Mn)
10.7.5.3. Italy Automotive Artificial Intelligence Market by Component, (2019-2028 USD Mn)
10.7.5.4. Italy Automotive Artificial Intelligence Market by Process, (2019-2028 USD Mn)
10.7.5.5. Italy Automotive Artificial Intelligence Market by Application, (2019-2028 USD Mn)
10.7.6. Rest of Europe
10.7.6.1. Rest of Europe Automotive Artificial Intelligence Market by Offering, (2019-2028 USD Mn)
10.7.6.2. Rest of Europe Automotive Artificial Intelligence Market by Technology, (2019-2028 USD Mn)
10.7.6.3. Rest of Europe Automotive Artificial Intelligence Market by Component, (2019-2028 USD Mn)
10.7.6.4. Rest of Europe Automotive Artificial Intelligence Market by Process, (2019-2028 USD Mn)
10.7.6.5. Rest of Europe Automotive Artificial Intelligence Market by Application, (2019-2028 USD Mn)
11. Asia Pacific Automotive Artificial Intelligence Market Analysis and Forecast, 2019 – 2028 (USD Mn)
11.1. Overview
11.2. Asia Pacific Automotive Artificial Intelligence Market by Offering, (2019-2028 USD Mn)
11.3. Asia Pacific Automotive Artificial Intelligence Market by Technology, (2019-2028 USD Mn)
11.4. Asia Pacific Automotive Artificial Intelligence Market by Component, (2019-2028 USD Mn)
11.5. Asia Pacific Automotive Artificial Intelligence Market by Process, (2019-2028 USD Mn)
11.6. Asia Pacific Automotive Artificial Intelligence Market by Application, (2019-2028 USD Mn)
11.7. Asia Pacific Automotive Artificial Intelligence Market by Country, (2019-2028 USD Mn)
11.7.1. China
11.7.1.1. China Automotive Artificial Intelligence Market by Offering, (2019-2028 USD Mn)
11.7.1.2. China Automotive Artificial Intelligence Market by Technology, (2019-2028 USD Mn)
11.7.1.3. China Automotive Artificial Intelligence Market by Component, (2019-2028 USD Mn)
11.7.1.4. China Automotive Artificial Intelligence Market by Process, (2019-2028 USD Mn)
11.7.1.5. China Automotive Artificial Intelligence Market by Application, (2019-2028 USD Mn)
11.7.2. Japan
11.7.2.1. Japan Automotive Artificial Intelligence Market by Offering, (2019-2028 USD Mn)
11.7.2.2. Japan Automotive Artificial Intelligence Market by Technology, (2019-2028 USD Mn)
11.7.2.3. Japan Automotive Artificial Intelligence Market by Component, (2019-2028 USD Mn)
11.7.2.4. Japan Automotive Artificial Intelligence Market by Process, (2019-2028 USD Mn)
11.7.2.5. Japan Automotive Artificial Intelligence Market by Application, (2019-2028 USD Mn)
11.7.3. India
11.7.3.1. India Automotive Artificial Intelligence Market by Offering, (2019-2028 USD Mn)
11.7.3.2. India Automotive Artificial Intelligence Market by Technology, (2019-2028 USD Mn)
11.7.3.3. India Automotive Artificial Intelligence Market by Component, (2019-2028 USD Mn)
11.7.3.4. India Automotive Artificial Intelligence Market by Process, (2019-2028 USD Mn)
11.7.3.5. India Automotive Artificial Intelligence Market by Application, (2019-2028 USD Mn)
11.7.4. Rest of Asia Pacific
11.7.4.1. Rest of Asia Pacific Automotive Artificial Intelligence Market by Offering, (2019-2028 USD Mn)
11.7.4.2. Rest of Asia Pacific Automotive Artificial Intelligence Market by Technology, (2019-2028 USD Mn)
11.7.4.3. Rest of Asia Pacific Automotive Artificial Intelligence Market by Component, (2019-2028 USD Mn)
11.7.4.4. Rest of Asia Pacific Automotive Artificial Intelligence Market by Process, (2019-2028 USD Mn)
11.7.4.5. Rest of Asia Pacific Automotive Artificial Intelligence Market by Process, (2019-2028 USD Mn)
12. Latin America (LATAM) Automotive Artificial Intelligence Market Analysis and Forecast, 2019 – 2028 (USD Mn)
12.1. Overview
12.2. Latin America Automotive Artificial Intelligence Market by Offering, (2019-2028 USD Mn)
12.3. Latin America Automotive Artificial Intelligence Market by Technology, (2019-2028 USD Mn)
12.4. Latin America Automotive Artificial Intelligence Market by Component, (2019-2028 USD Mn)
12.5. Latin America Automotive Artificial Intelligence Market by Process, (2019-2028 USD Mn)
12.6. Latin America Automotive Artificial Intelligence Market by Application, (2019-2028 USD Mn)
12.7. Latin America Automotive Artificial Intelligence Market by Country, (2019-2028 USD Mn)
12.7.1. Brazil
12.7.1.1. Brazil Automotive Artificial Intelligence Market by Offering, (2019-2028 USD Mn)
12.7.1.2. Brazil Automotive Artificial Intelligence Market by Technology, (2019-2028 USD Mn)
12.7.1.3. Brazil Automotive Artificial Intelligence Market by Component, (2019-2028 USD Mn)
12.7.1.4. Brazil Automotive Artificial Intelligence Market by Process, (2019-2028 USD Mn)
12.7.1.5. Brazil Automotive Artificial Intelligence Market by Application, (2019-2028 USD Mn)
12.7.2. Mexico
12.7.2.1. Mexico Automotive Artificial Intelligence Market by Offering, (2019-2028 USD Mn)
12.7.2.2. Mexico Automotive Artificial Intelligence Market by Technology, (2019-2028 USD Mn)
12.7.2.3. Mexico Automotive Artificial Intelligence Market by Component, (2019-2028 USD Mn)
12.7.2.4. Mexico Automotive Artificial Intelligence Market by Process, (2019-2028 USD Mn)
12.7.2.5. Mexico Automotive Artificial Intelligence Market by Application, (2019-2028 USD Mn)
12.7.3. Rest of Latin America
12.7.3.1. Rest of Latin America Automotive Artificial Intelligence Market by Offering, (2019-2028 USD Mn)
12.7.3.2. Rest of Latin America Automotive Artificial Intelligence Market by Technology, (2019-2028 USD Mn)
12.7.3.3. Rest of Latin America Automotive Artificial Intelligence Market by Component, (2019-2028 USD Mn)
12.7.3.4. Rest of Latin America Automotive Artificial Intelligence Market by Process, (2019-2028 USD Mn)
12.7.3.5. Rest of Latin America Automotive Artificial Intelligence Market by Application, (2019-2028 USD Mn)
13. Middle East and Africa Automotive Artificial Intelligence Market Analysis and Forecast, 2019 – 2028 (USD Mn)
13.1. Overview
13.2. MEA Automotive Artificial Intelligence Market by Offering, (2019-2028 USD Mn)
13.3. MEA Automotive Artificial Intelligence Market by Technology, (2019-2028 USD Mn)
13.4. MEA Automotive Artificial Intelligence Market by Component, (2019-2028 USD Mn)
13.5. MEA Automotive Artificial Intelligence Market by Process, (2019-2028 USD Mn)
13.6. MEA Automotive Artificial Intelligence Market by Application, (2019-2028 USD Mn)
13.7. Middle East and Africa Automotive Artificial Intelligence Market, by Country, (2019-2028 USD Mn)
13.7.1. GCC
13.7.1.1. GCC Automotive Artificial Intelligence Market by Offering, (2019-2028 USD Mn)
13.7.1.2. GCC Automotive Artificial Intelligence Market by Technology, (2019-2028 USD Mn)
13.7.1.3. GCC Automotive Artificial Intelligence Market by Component, (2019-2028 USD Mn)
13.7.1.4. GCC Automotive Artificial Intelligence Market by Process, (2019-2028 USD Mn)
13.7.1.5. GCC Automotive Artificial Intelligence Market by Application, (2019-2028 USD Mn)
13.7.2. South Africa
13.7.2.1. South Africa Automotive Artificial Intelligence Market by Offering, (2019-2028 USD Mn)
13.7.2.2. South Africa Automotive Artificial Intelligence Market by Technology, (2019-2028 USD Mn)
13.7.2.3. South Africa Automotive Artificial Intelligence Market by Component, (2019-2028 USD Mn)
13.7.2.4. South Africa Automotive Artificial Intelligence Market by Process, (2019-2028 USD Mn)
13.7.2.5. South Africa Automotive Artificial Intelligence Market by Application, (2019-2028 USD Mn)
13.7.3. Rest of MEA
13.7.3.1. Rest of MEA Automotive Artificial Intelligence Market by Offering, (2019-2028 USD Mn)
13.7.3.2. Rest of MEA Automotive Artificial Intelligence Market by Technology, (2019-2028 USD Mn)
13.7.3.3. Rest of MEA Automotive Artificial Intelligence Market by Component, (2019-2028 USD Mn)
13.7.3.4. Rest of MEA Automotive Artificial Intelligence Market by Process, (2019-2028 USD Mn)
13.7.3.5. Rest of MEA Automotive Artificial Intelligence Market by Application, (2019-2028 USD Mn)
14. Company Profiles
14.1. Nvidia Corporation
14.1.1. Business Description
14.1.2. Financial Health and Budget Allocation
14.1.3. Product Positions/Portfolio
14.1.4. Recent Development
14.1.5. SWOT Analysis
14.2. Alphabet Inc.
14.2.1. Business Description
14.2.2. Financial Health and Budget Allocation
14.2.3. Product Positions/Portfolio
14.2.4. Recent Development
14.2.5. SWOT Analysis
14.3. Intel Corporation
14.3.1. Business Description
14.3.2. Financial Health and Budget Allocation
14.3.3. Product Positions/Portfolio
14.3.4. Recent Development
14.3.5. SWOT Analysis
14.4. Microsoft Corporation
14.4.1. Business Description
14.4.2. Financial Health and Budget Allocation
14.4.3. Product Positions/Portfolio
14.4.4. Recent Development
14.4.5. SWOT Analysis
14.5. IBM Corporation
14.5.1. Business Description
14.5.2. Financial Health and Budget Allocation
14.5.3. Product Positions/Portfolio
14.5.4. Recent Development
14.5.5. SWOT Analysis
14.6. Qualcomm Inc.
14.6.1. Business Description
14.6.2. Financial Health and Budget Allocation
14.6.3. Product Positions/Portfolio
14.6.4. Recent Development
14.6.5. SWOT Analysis
14.7. Tesla Inc.
14.7.1. Business Description
14.7.2. Financial Health and Budget Allocation
14.7.3. Product Positions/Portfolio
14.7.4. Recent Development
14.7.5. SWOT Analysis
14.8. BMW AG
14.8.1. Business Description
14.8.2. Financial Health and Budget Allocation
14.8.3. Product Positions/Portfolio
14.8.4. Recent Development
14.8.5. SWOT Analysis
14.9. Micron Technology
14.9.1. Business Description
14.9.2. Financial Health and Budget Allocation
14.9.3. Product Positions/Portfolio
14.9.4. Recent Development
14.9.5. SWOT Analysis
14.10. Xilinx Inc.
14.10.1. Business Description
14.10.2. Financial Health and Budget Allocation
14.10.3. Product Positions/Portfolio
14.10.4. Recent Development
14.10.5. SWOT Analysis
14.11. Harman International Industries Inc.
14.11.1. Business Description
14.11.2. Financial Health and Budget Allocation
14.11.3. Product Positions/Portfolio
14.11.4. Recent Development
14.11.5. SWOT Analysis
14.12. Volvo Car Corporation
14.12.1. Business Description
14.12.2. Financial Health and Budget Allocation
14.12.3. Product Positions/Portfolio
14.12.4. Recent Development
14.12.5. SWOT Analysis
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