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Automotive Artificial Intelligence Market Trends and Forecast

The future of the global automotive artificial intelligence market looks promising with opportunities in the human–machine interface, semi-autonomous driving, autonomous driving, identity authentication, driver monitoring, and autonomous driving processor chip applications. The global automotive artificial intelligence market is expected to reach an estimated $3.3 billion by 2028 with a CAGR of 28.4% from 2023 to 2028. The major drivers for this market are growing demand for convenience features in automobiles, emergence of payment in-car concept, and increasing use of AI in traffic control and advanced automotive technologies.
Automotive Artificial Intelligence Market by Offering, Technology, Process, Component, and Application

A more than 150-page report is developed to help in your business decisions.  Sample figures with some insights are shown below. 
Automotive Artificial Intelligence Market by Segments

Automotive Artificial Intelligence Market by Segment

The study includes trends and forecast for the global automotive artificial intelligence market by offering, technology, process, component, application, and region, as follows:

Automotive Artificial Intelligence Market by Offering [Value ($B) Shipment Analysis from 2017 to 2028]:

  • Hardware
  • Software

Automotive Artificial Intelligence Market by Technology [Value ($B) Shipment Analysis from 2017 to 2028]:

  • Deep Learning
  • Machine Learning
  • Context- Aware Computing
  • Computer Vision
  • Natural Language Processing

Automotive Artificial Intelligence Market by Process [Value ($B) Shipment Analysis from 2017 to 2028]:

  • Signal Recognition
  • Image Recognition
  • Data Mining

Automotive Artificial Intelligence Market by Component [Value ($B) Shipment Analysis from 2017 to 2028]:

  • Graphics processing unit (GPU)
  • Microprocessors (Incl. ASIC)
  • Field Programmable Gate Array (FPGA)
  • Memory and Storage System
  • Image Sensor
  • Biometric Scanner
  • Others

Automotive Artificial Intelligence Market by Application [Value ($B) Shipment Analysis from 2017 to 2028]:

  • Human–Machine Interface
  • Semi-autonomous Driving
  • Autonomous Driving
  • Identity Authentication
  • Driver Monitoring
  • Autonomous Driving Processor Chip

Automotive Artificial Intelligence Market by Region [Value ($B) Shipment Analysis from 2017 to 2028]:

  • North America
  • Europe
  • Asia Pacific
  • The Rest of the World

List of Automotive Artificial Intelligence Companies 

Companies in the market compete on the basis of product quality offered. Major players in this market focus on expanding their manufacturing facilities, R&D investments, infrastructural development, and leverage integration opportunities across the value chain. With these strategies, automotive artificial intelligence companies cater to increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the automotive artificial intelligence companies profiled in this report include--

Automotive Artificial Intelligence Market Insights

  • Lucintel forecasts that deep learning will remain the largest technology segment over the forecast period due to growing investment in the development of self-driving cars in which this technology is utilized for data analysis, speech recognition, and image processing.
  • Human–machine interface is expected to remain the largest application segment due to the expanding use of HMI in various automotive applications, such as voice recognition systems and gesture recognition systems.
  • North America will remain the largest region due to the extensive use of AI in the automotive sector to ensure the safety of autonomous vehicles and introduction of self-driving vehicles in the region.

Features of the Automotive Artificial Intelligence Market

  • Market Size Estimates: Automotive artificial intelligence market size estimation in terms of value ($B)
  • Trend And Forecast Analysis: Market trends (2017-2022) and forecast (2023-2028) by various segments and regions.
  • Segmentation Analysis: Automotive artificial intelligence market size by various segments, such as by offering, technology, process, component, application, and region
  • Regional Analysis: Automotive artificial intelligence market breakdown by North America, Europe, Asia Pacific, and the Rest of the World.
  • Growth Opportunities: Analysis on growth opportunities in different offerings, technology, processes, components, applications, and regions for the automotive artificial intelligence market.
  • Strategic Analysis: This includes M&A, new product development, and competitive landscape for the automotive artificial intelligence market.
  • Analysis of competitive intensity of the industry based on Porter’s Five Forces model.

FAQ

Q1. What is the automotive artificial intelligence market size?
Answer: The global automotive artificial intelligence market is expected to reach an estimated $3.3 billion by 2028.
Q2. What is the growth forecast for automotive artificial intelligence market?
Answer: The global automotive artificial intelligence market is expected to grow with a CAGR of 28.4% from 2023 to 2028.
Q3. What are the major drivers influencing the growth of the automotive artificial intelligence market?
Answer: The major drivers for this market are growing demand for convenience features in automobiles, emergence of payment in-car concept, and increasing use of AI in traffic control and advanced automotive technologies.
Q4. What are the major segments for automotive artificial intelligence market?
Answer: The future of the automotive artificial intelligence market looks promising with opportunities in the human–machine interface, semi-autonomous driving, autonomous driving, identity authentication, driver monitoring, and autonomous driving processor chip applications.
Q5. Who are the key automotive artificial intelligence companies?
Answer: Some of the key automotive artificial intelligence companies are as follows:
  • Nvidia
  • Alphabet
  • Intel
  • Microsoft
  • IBM
Q6. Which automotive artificial intelligence segment will be the largest in future?
Answer: Lucintel forecasts that deep learning will remain the largest technology segment over the forecast period due to growing investment in the development of self-driving cars in which this technology is utilized for data analysis, speech recognition, and image processing.
Q7. In automotive artificial intelligence market, which region is expected to be the largest in next 5 years?
Answer: North America will remain the largest region as extensive use of AI in the automotive sector to ensure the safety of autonomous vehicles and introduction of self-driving vehicles in the region.
Q8. Do we receive customization in this report?
Answer: Yes, Lucintel provides 10% Customization Without any Additional Cost.

This report answers following 11 key questions

Q.1. What are some of the most promising, high-growth opportunities for the global automotive artificial intelligence market by offering (hardware and software), technology (deep learning, machine learning, context- aware computing, computer vision, and natural language processing), process (signal recognition, image recognition, and data mining), component (graphics processing unit, microprocessors, field programmable gate array, memory and storage system, image sensor, biometric scanner, and others), application (human–machine interface, semi-autonomous driving, autonomous driving, identity authentication, driver monitoring, and autonomous driving processor chip), and region (North America, Europe, Asia Pacific, and the Rest of the World)?
Q.2. Which segments will grow at a faster pace and why?
Q.3. Which region will grow at a faster pace and why?
Q.4. What are the key factors affecting market dynamics? What are the key challenges and business risks in this market?
Q.5. What are the business risks and competitive threats in this market?
Q.6. What are the emerging trends in this market and the reasons behind them?
Q.7. What are some of the changing demands of customers in the market?
Q.8. What are the new developments in the market? Which companies are leading these developments?
Q.9. Who are the major players in this market? What strategic initiatives are key players pursuing for business growth?
Q.10. What are some of the competing products in this market and how big of a threat do they pose for loss of market share by material or product substitution?
Q.11. What M&A activity has occurred in the last five years and what has its impact been on the industry?
 
For any questions related to automotive artificial intelligence market or related to automotive artificial intelligence companies, automotive artificial intelligence market size, automotive artificial intelligence market share, automotive artificial intelligence analysis, automotive artificial intelligence market growth, automotive artificial intelligence market research, write Lucintel analyst at email: helpdesk@lucintel.com we will be glad to get back to you soon.
Table of Contents
 
1. Executive Summary
 
2. Global Automotive Artificial Intelligence Market: Market Dynamics
2.1: Introduction, Background, and Classifications
2.2: Supply Chain
2.3: Industry Drivers and Challenges
 
3. Market Trends and Forecast Analysis from 2017 to 2028
3.1: Macroeconomic Trends (2017-2022) and Forecast (2023-2028)
3.2: Global Automotive Artificial Intelligence Market Trends (2017-2022) and Forecast (2023-2028)
3.3: Global Automotive Artificial Intelligence Market by Offering
3.3.1: Hardware  
3.3.2: Software
3.4: Global Automotive Artificial Intelligence Market by Technology
3.4.1: Deep Learning
3.4.2: Machine Learning
3.4.3: Context- Aware Computing
3.4.4: Computer Vision 
3.4.5: Natural Language Processing
3.5: Global Automotive Artificial Intelligence Market by Process
3.5.1: Signal Recognition
3.5.2: Image Recognition 
3.5.3: Data Mining
3.6: Global Automotive Artificial Intelligence Market by Component
3.6.1: Graphics Processing Unit
3.6.2: Microprocessors
3.6.3: Field Programmable Gate Array
3.6.4: Memory and Storage System
3.6.5: Image Sensor
3.6.6: Biometric Scanner 
3.6.7: Others
3.7: Global Automotive Artificial Intelligence Market by Application
3.7.1: Human–Machine Interface
3.7.2: Semi-Autonomous Driving
3.7.3: Autonomous Driving
3.7.4: Identity Authentication
3.7.5: Driver Monitoring 
3.7.6: Autonomous Driving Processor Chip
 
4. Market Trends and Forecast Analysis by Region from 2017 to 2028
4.1: Global Automotive Artificial Intelligence Market by Region
4.2: North American Automotive Artificial Intelligence Market
4.2.1: North American Automotive Artificial Intelligence Market by Technology: Deep Learning, Machine Learning, Context- Aware Computing, Computer Vision, and Natural Language Processing
4.2.2: North American Automotive Artificial Intelligence Market by Application: Human–Machine Interface, Semi-Autonomous Driving, Autonomous Driving, Identity Authentication, Driver Monitoring, and Autonomous Driving Processor Chip 
4.3: European Automotive Artificial Intelligence Market
4.3.1: European Automotive Artificial Intelligence Market by Technology: Deep Learning, Machine Learning, Context- Aware Computing, Computer Vision, and Natural Language Processing
4.3.2: European Automotive Artificial Intelligence Market by Application: Human–Machine Interface, Semi-Autonomous Driving, Autonomous Driving, Identity Authentication, Driver Monitoring, and Autonomous Driving Processor Chip
4.4: APAC Automotive Artificial Intelligence Market 
4.4.1: APAC Automotive Artificial Intelligence Market by Technology: Deep Learning, Machine Learning, Context- Aware Computing, Computer Vision, and Natural Language Processing
4.4.2: APAC Automotive Artificial Intelligence Market by Application: Human–Machine Interface, Semi-Autonomous Driving, Autonomous Driving, Identity Authentication, Driver Monitoring, and Autonomous Driving Processor Chip
4.5: ROW Automotive Artificial Intelligence Market 
4.5.1: ROW Automotive Artificial Intelligence Market by Technology: Deep Learning, Machine Learning, Context- Aware Computing, Computer Vision, and Natural Language Processing
4.5.2: ROW Automotive Artificial Intelligence Market by Application: Human–Machine Interface, Semi-Autonomous Driving, Autonomous Driving, Identity Authentication, Driver Monitoring, and Autonomous Driving Processor Chip
 
5. Competitor Analysis
5.1: Product Portfolio Analysis
5.2: Operational Integration
5.3: Porter’s Five Forces Analysis
 
6. Growth Opportunities and Strategic Analysis
6.1: Growth Opportunity Analysis
6.1.1: Growth Opportunities for the Global Automotive Artificial Intelligence Market by Offering
6.1.2: Growth Opportunities for the Global Automotive Artificial Intelligence Market by Technology
6.1.3: Growth Opportunities for the Global Automotive Artificial Intelligence Market by Process
6.1.4: Growth Opportunities for the Global Automotive Artificial Intelligence Market by Component
6.1.5: Growth Opportunities for the Global Automotive Artificial Intelligence Market by Application
6.1.6: Growth Opportunities for the Global Automotive Artificial Intelligence Market by Region
6.2: Emerging Trends in the Global Automotive Artificial Intelligence Market 
6.3: Strategic Analysis
6.3.1: New Product Development
6.3.2: Capacity Expansion of the Global Automotive Artificial Intelligence Market 
6.3.3: Mergers, Acquisitions, and Joint Ventures in the Global Automotive Artificial Intelligence Market 
6.3.4: Certification and Licensing
 
7. Company Profiles of Leading Players
7.1: Nvidia
7.2: Alphabet
7.3: Intel
7.4: Microsoft 
7:5: IBM
 
.

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Lucintel has been in the business of market research and management consulting since 2000 and has published over 1000 market intelligence reports in various markets / applications and served over 1,000 clients worldwide. This study is a culmination of four months of full-time effort performed by Lucintel's analyst team. The analysts used the following sources for the creation and completion of this valuable report:
  • In-depth interviews of the major players in this market
  • Detailed secondary research from competitors’ financial statements and published data 
  • Extensive searches of published works, market, and database information pertaining to industry news, company press releases, and customer intentions
  • A compilation of the experiences, judgments, and insights of Lucintel’s professionals, who have analyzed and tracked this market over the years.
Extensive research and interviews are conducted across the supply chain of this market to estimate market share, market size, trends, drivers, challenges, and forecasts. Below is a brief summary of the primary interviews that were conducted by job function for this report.
 
Thus, Lucintel compiles vast amounts of data from numerous sources, validates the integrity of that data, and performs a comprehensive analysis. Lucintel then organizes the data, its findings, and insights into a concise report designed to support the strategic decision-making process. The figure below is a graphical representation of Lucintel’s research process. 
 

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