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Automotive Artificial Intelligence Market by Offering, Technology (Deep Learning, Machine Learning, Computer Vision, Context-aware Computing and Natural Language Processing), Process, Application, Component and Region - Global Forecast to 2027

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  • 259 Pages
  • August 2022
  • Region: Global
  • Markets and Markets
  • ID: 5648345
Description Jump to:

The global automotive artificial intelligence market size is projected to grow from USD 2.3 Billion in 2022 to USD 7.0 Billion by 2027, it is expected to grow at a CAGR of 24.1% from 2022 to 2027. The key factors contributing to the growth of the automotive artificial intelligence market include the growing adoption of ADAS technology by OEMs and the increasing use of AI to make buying decisions.

Safety is becoming a prime concern in terms of vehicle features. A majority of accidents occur because the driver is either distracted or has lost focus due to drowsiness. The World Health Organization (WHO) estimates that approximately 1.3 million road traffic deaths occur globally each year.

Several driver assistance systems have been developed to assist the driver and significantly reduce the number of accidents. Such systems will warn inattentive drivers of approaching danger and help increase safety. Driver assistance systems have gained significant importance over the past few years. Hence, the demand for adaptive cruise control (ACC) and ADAS is increasing. The trend is estimated to continue for the next five years. The improving infrastructure, the increasing struggle of automobile manufacturers to offer improved features, and the changing lifestyles worldwide have boosted the overall sale of premium passenger cars. However, beyond a certain degree, these factors will not influence the demand for driver assistance systems with automotive AI in the overall market.

Increasing use of AI to make buying decisions.

AI is not only used in the production of cars and the delivery of improved user experiences but also makes the process of buying and selling cars incredibly easy. Future customer interface systems with AI capabilities may potentially provide recommendations for the best cars based on the driver's insurance, health, and penalties received. Next-generation automobiles can also receive real-time information on traffic jams or any other emergency, and they can use AI to build detailed 3D images of actual roadways.

APAC is the fastest-growing region in the automotive artificial intelligence market.

The automotive artificial intelligence market in the Asia Pacific is expected to grow at the highest CAGR from 2022 to 2027 owing to technological advancements and financial support from the government is expected to propel the growth of this market. Increasing population, improving lifestyles, and growing economies have accelerated the pace of passenger car demand in the Asia Pacific. China, Japan, India, and South Korea are the key countries in the Asia Pacific region for the automotive artificial intelligence market. Toyota (Japan), Hyundai Motor Company (South Korea), and Honda Motor Company (Japan)are among the top companies in the region operating in the automotive artificial intelligence market.

The breakup of primaries conducted during the study is depicted below:

  • By Company Type: Tier 1 - 55 %, Tier 2 - 25%, and Tier 3 -20%
  • By Designation: C-Level Executives - 60%, Directors - 20%, and Others - 20%
  • By Region: North America- 40%, Europe - 30%, APAC- 20%, Rest of world-10%

Research Coverage

The report segments the automotive artificial intelligence market and forecasts its size, by volume and value, based on region (North America, Europe, Asia Pacific, and RoW), Offering (Hardware, Software), Technology (Deep Learning, Machine Learning, Computer Vision, Context-aware Computing and Natural Language Processing), Offering (Hardware, Software), Process (Signal Recognition, Image Recognition, and Data Mining), Application (Human-Machine Interface, Semi-autonomous Driving, Autonomous Vehicle, Identity Authentication, Driver Monitoring, and Autonomous Driving Processor Chips), and Components (GPU, Microprocessors (Incl. ASIC), FPGA, Memory and Storage Systems, Image Sensors, Biometric Scanners, and Others). The report also provides a comprehensive review of market drivers, restraints, opportunities, and challenges in the automotive artificial intelligence market. The report also covers qualitative aspects in addition to the quantitative aspects of these markets.

Key Benefits of Buying This Report

1 This report includes market statistics pertaining to the offerings, technology, process, application, components, and region.
2 An in-depth value chain analysis has been done to provide deep insight into the automotive artificial intelligence market.
3 Major market drivers, restraints, challenges, and opportunities have been detailed in this report.
4 Illustrative segmentation, analyses, and forecasts for the market based on offerings, technology, process, application, components, and region have been conducted to provide an overall view of the automotive artificial intelligence market.
5 The report includes an in-depth analysis and ranking of key players.

Table of Contents

1 Introduction
1.1 Study Objectives
1.2 Market Definition
1.2.1 Inclusions and Exclusions
1.3 Study Scope
1.3.1 Markets Covered
1.3.2 Regional Scope
1.3.3 Years Considered
1.4 Currency Considered
1.5 Stakeholders
1.6 Summary of Changes

2 Research Methodology
2.1 Research Data
Figure 1 Process Flow: Automotive Artificial Market Size Estimation
Figure 2 Automotive Artificial Intelligence Market: Research Design
2.1.1 Secondary and Primary Research
2.1.2 Secondary Data
2.1.2.1 List of Major Secondary Sources
2.1.2.2 Secondary Sources
2.1.3 Primary Data
2.1.3.1 Primary Interviews with Experts
2.1.3.2 Key Industry Insights
2.1.3.3 Breakdown of Primaries
2.1.3.4 Primary Sources
2.2 Market Size Estimation
2.2.1 Bottom-Up Approach
2.2.1.1 Estimating Market Size Using Bottom-Up Approach (Demand Side)
Figure 3 Market Size Estimation Methodology: Bottom-Up Approach
2.2.2 Top-Down Approach
2.2.2.1 Approach to Capture Market Share Using Top-Down Analysis (Supply Side)
Figure 4 Market Size Estimation Methodology: Top-Down Approach
2.3 Market Breakdown and Data Triangulation
Figure 5 Data Triangulation
2.4 Research Assumptions
Table 1 Assumptions for Research Study
2.5 Risk Assessment
2.5.1 Limitations and Associated Risks
Table 2 Limitations and Associated Risks
2.6 Research Limitations
Figure 6 Limitations for Research Study
Table 3 Market Forecasting Methodology Adopted from 2022 to 2027

3 Executive Summary
Figure 7 Software Segment to Hold Largest Share of Automotive AI Market During Forecast Period
Figure 8 Automotive AI Market, by Technology, 2022-2027
Figure 9 Automotive AI Market, by Process, 2022 Vs 2027
Figure 10 Automotive AI Market, by Application, 2022-2027
Figure 11 Automotive AI Market, by Region, 2022

4 Premium Insights
4.1 Attractive Opportunities for Automotive AI Market Players
Figure 12 Rising Industrial Automation to Drive Market Growth
4.2 Automotive AI Market, by Offering
Figure 13 Software Segment to Hold Largest Share of Automotive AI Market During Forecast Period
4.3 Automotive AI Market, by Technology
Figure 14 Deep Learning Segment to Hold Largest Share of Automotive AI Market from 2022 to 2027
4.4 North American Automotive AI Market, by Application and Country
Figure 15 Hmi Segment and Us Held Largest Shares of North American Automotive AI Market in 2027
4.5 Automotive AI Market, by Country
Figure 16 Canada to Register Highest CAGR in Automotive AI Market Between 2022 and 2027 (In Terms of Value)

5 Market Overview
5.1 Introduction
5.2 Market Dynamics
Figure 17 Automotive AI Market: Drivers, Restraints, Opportunities, and Restraints
5.2.1 Drivers
5.2.1.1 Growing Adoption of Adas Technology by OEMs
Figure 18 Road Traffic Death Rate, Per 100,000 Population, 2019
Table 4 Regulations for Driver Assistance Systems
5.2.1.2 Rising Demand for Enhanced User Experience and Convenience Features
5.2.1.3 Emerging Trend of Autonomous Vehicles
Figure 19 Levels of Autonomous Driving
Table 5 Autonomous Driving Initiatives by Automakers
5.2.1.4 Increasing Use of AI to Make Buying Decisions
Figure 20 Drivers for Automotive Artificial Intelligence Market and Their Impact
5.2.2 Restraints
5.2.2.1 Increase in Overall Cost of Vehicles
5.2.2.2 Threat to Vehicle-Related Cybersecurity
5.2.2.3 Inability to Identify Human Signals
Figure 21 Restraints for Automotive Artificial Intelligence Market and Their Impact
5.2.3 Opportunities
5.2.3.1 Increasing Demand for Premium Vehicles
5.2.3.2 Growing Need for Sensor Fusion
Figure 22 Sensor Fusion
5.2.3.3 High Potential of In-Car Payments
Figure 23 Opportunities for Automotive Artificial Intelligence Market and Their Impact
5.2.4 Challenges
5.2.4.1 Difficulty in Maintaining Cost-Quality Balance
5.2.4.2 Effect of Unfavorable Weather on Sensors
Figure 24 Challenges for Automotive Artificial Intelligence Market and Their Impact
5.3 Porter's Five Forces Analysis
5.3.1 Bargaining Power of Suppliers
5.3.2 Bargaining Power of Buyers
5.3.3 Threat of New Entrants
5.3.4 Threat of Substitutes
5.3.5 Intensity of Competitive Rivalry
Table 6 Impact of Each Force on Automotive AI Market
5.4 Pricing Analysis
Figure 25 Asp of Processors, 2018-2021 (USD)
Table 7 Asp Range of Processor Types, 2018-2021 (USD)
5.5 Trade Analysis
5.5.1 Export Scenario for Automatic Data Processing Machines
Table 8 Automatic Data Processing Machines Export, by Key Country, 2017-2021 (USD Thousand)
5.5.2 Import Scenario for Automatic Data Processing Machines
Table 9 Import Data: Automatic Data Processing Machines, by Key Country, 2017-2021 (USD Thousand)
5.6 Ecosystem
Figure 26 Automotive Artificial Intelligence Market: Ecosystem Analysis
Table 10 Automotive AI Market Ecosystem
5.7 Case Study Analysis
5.7.1 Affectiva Develops System to Detect Driver Behavior
5.7.2 Volvo Uses Machine Learning-Driven Data Analytics to Predict Breakdowns and Failures
5.7.3 Rolls-Royce Uses Microsoft Cortana Intelligence for Predictive Maintenance
5.7.4 Audi Uses AI System to Alert Driver
5.8 Patent Analysis
Figure 27 Number of Patents Granted Per Year Over Last 10 Years
Table 11 Top 10 Patent Owners
Figure 28 Companies with Highest Number of Patent Applications in Last 10 Years
Table 12 Important Patent Registrations, 2020-2022
Figure 29 Revenue Shift in Automotive Artificial Intelligence Market
5.9 Regulatory Landscape
5.9.1 Regulatory Bodies, Government Agencies, and Other Organizations
Table 13 North America: Regulatory Bodies, Government Agencies, and Other Organizations
Table 14 Europe: Regulatory Bodies, Government Agencies, and Other Organizations
Table 15 Asia-Pacific: Regulatory Bodies, Government Agencies, and Other Organizations
Table 16 Rest of the World: Regulatory Bodies, Government Agencies, and Other Organizations
5.10 Regulatory Standards
5.10.1 General Data Protection Regulation (Gdpr)
5.10.2 Standards in Its/C-Its
Table 17 Security and Privacy Standards Developed by European Telecommunication Standards Institute (ETSI)
5.11 Value Chain Analysis
Figure 30 Automotive Artificial Market Value Chain
5.12 Technology Analysis
Figure 31 Evolution of Artificial Intelligence in the Automotive Industry
Figure 32 Role of Artificial Intelligence in the Automotive Industry
5.12.1 Human-Machine Interface
5.12.2 Predictive Maintenance
5.12.3 Autonomous Vehicle
5.12.4 Advanced Driver Assistance System
Figure 33 Applications of Advanced Driver Assistance Systems (Adas)
5.12.5 Precision and Mapping
5.12.6 Customer Data Analysis
5.12.7 Others
5.13 Key Conferences and Events, 2022-2023
Table 18 Automotive Artificial Intelligence Market: Conferences & Events (2022-2023)
5.14 Key Stakeholders and Buying Process And/Or Buying Criteria
5.14.1 Key Stakeholders in Buying Process
Figure 34 Influence of Stakeholders on Buying Process for Top 3 Applications
Table 19 Influence of Stakeholders on Buying Process for Top 3 Applications (%)
5.14.2 Buying Criteria
Figure 35 Key Buying Criteria for Top 3 Applications
Table 20 Key Buying Criteria for Top 3 Applications

6 Automotive Artificial Intelligence Market, by Offering
6.1 Introduction
Figure 36 Software Segment Expected to Hold Larger Share of Automotive AI Market in 2022
Table 21 Automotive AI Market, by Offering, 2018-2021 (USD Million)
Table 22 Automotive AI Market, by Offering, 2022-2027 (USD Million)
6.2 Hardware
6.2.1 Von Neumann Architecture
6.2.1.1 Increasing Competition Among Companies to Provide Hardware Platforms
6.2.2 Neuromorphic Architecture
6.2.2.1 Designed to Process Information and Respond to Change in Data
Table 23 Automotive AI Hardware Market, by Computing Type, 2018-2021 (USD Million)
Table 24 Automotive AI Hardware Market, by Computing Type, 2022-2027 (USD Million)
Table 25 Automotive AI Hardware Market, by Technology, 2018-2021 (USD Million)
Table 26 Automotive AI Hardware Market, by Technology, 2022-2027 (USD Million)
Figure 37 North America to Hold Largest Market Share of Automotive AI Hardware Market During Forecast Period
Table 27 Automotive AI Hardware Market, by Region, 2018-2021 (USD Million)
Table 28 Automotive AI Hardware Market, by Region, 2022-2027 (USD Million)
6.3 Software
6.3.1 Solutions
6.3.1.1 Technological Development Expected to Boost Market Growth
6.3.2 Platforms
6.3.2.1 Use of AI Platforms to Develop Tool Kits for Various Purposes
Table 29 Automotive AI Software Market, by Software Type, 2018-2021 (USD Million)
Table 30 Automotive AI Software Market, by Software Type, 2022-2027 (USD Million)
Figure 38 Deep Learning Technology to Account for Largest Market Size During Forecast Period
Table 31 Automotive AI Software Market, by Technology, 2018-2021 (USD Million)
Table 32 Automotive AI Software Market, by Technology, 2022-2027 (USD Million)
Table 33 Automotive AI Software Market, by Region, 2018-2021 (USD Million)
Table 34 Automotive AI Software Market, by Region, 2022-2027 (USD Million)

7 Automotive Artificial Intelligence Market, by Technology
7.1 Introduction
Figure 39 Deep Learning Expected to Hold Largest Share of Automotive AI Market in 2022
Table 35 Automotive AI Market, by Technology, 2018-2021 (USD Million)
Table 36 Automotive AI Market, by Technology, 2022-2027 (USD Million)
7.2 Deep Learning
7.2.1 Increasing Use in Predictive Analytics to Boost Automotive AI Market
Table 37 Automotive AI Market for Deep Learning Technology, by Offering, 2018-2021 (USD Million)
Table 38 Automotive AI Market for Deep Learning Technology, by Offering, 2022-2027 (USD Million)
Table 39 Automotive AI Market for Deep Learning, by Application, 2018-2021 (USD Million)
Table 40 Automotive AI Market for Deep Learning, by Application, 2022-2027 (USD Million)
Figure 40 North America to Have Largest Share of Automotive AI Market for Deep Learning During Forecast Period
Table 41 Automotive AI Market for Deep Learning, by Region, 2018-2021 (USD Million)
Table 42 Automotive AI Market for Deep Learning, by Region, 2022-2027 (USD Million)
7.3 Machine Learning
7.3.1 Multiple Advantages of Machine Learning to Drive Growth of Automotive Industry
Table 43 Automotive AI Market for Machine Learning Technology, by Offering, 2018-2021 (USD Million)
Table 44 Automotive AI Market for Machine Learning Technology, by Offering, 2022-2027 (USD Million)
Figure 41 Hmi to Hold Largest Share of Automotive AI Market for Machine Learning During Forecast Period
Table 45 Automotive AI Market for Machine Learning, by Application, 2018-2021 (USD Million)
Table 46 Automotive AI Market for Machine Learning, by Application, 2022-2027 (USD Million)
Table 47 Automotive AI Market for Machine Learning, by Region, 2018-2021 (USD Million)
Table 48 Automotive AI Market for Machine Learning, by Region, 2022-2027 (USD Million)
7.4 Computer Vision
7.4.1 Ability to Analyze Information and Provide Visual Feedback to Drive Market Growth
Table 49 Automotive AI Market for Computer Vision Technology, by Offering, 2018-2021 (USD Million)
Table 50 Automotive AI Market for Computer Vision Technology, by Offering, 2022-2027 (USD Million)
Table 51 Automotive AI Market for Computer Vision, by Application, 2018-2021 (USD Million)
Table 52 Automotive AI Market for Computer Vision, by Application, 2022-2027 (USD Million)
Table 53 Automotive AI Market for Computer Vision, by Region, 2018-2021 (USD Million)
Table 54 Automotive AI Market for Computer Vision, by Region, 2022-2027 (USD Million)
7.5 Context-Aware Computing
7.5.1 Development of Sophisticated Hard and Soft Sensors to Boost Growth of Segment
Table 55 Automotive AI Market for Context-Aware Computing, by Offering, 2018-2021 (USD Million)
Table 56 Automotive AI Market for Context-Aware Computing, by Offering, 2022-2027 (USD Million)
Table 57 Automotive AI Market for Context-Aware Computing, by Application, 2018-2021 (USD Million)
Table 58 Automotive AI Market for Context-Aware Computing, by Application, 2022-2027 (USD Million)
Figure 42 North America to Hold Largest Share of Automotive AI Market for Context-Aware Computing During Forecast Period
Table 59 Automotive AI Market for Context-Aware Computing, by Region, 2018-2021 (USD Million)
Table 60 Automotive AI Market for Context-Aware Computing, by Region, 2022-2027 (USD Million)
7.6 Natural Language Processing
7.6.1 Helps Improve Autonomous Vehicle Driving Experience
Figure 43 Software to Account for Largest Share of Automotive AI Market for Natural Language Processing During Forecast Period
Table 61 Automotive AI Market for Natural Language Processing, by Offering, 2018-2021 (USD Million)
Table 62 Automotive AI Market for Natural Language Processing, by Offering, 2022-2027 (USD Million)
Table 63 Automotive AI Market for Natural Language Processing, by Region, 2018-2021 (USD Million)
Table 64 Automotive AI Market for Natural Language Processing, by Region, 2022-2027 (USD Million)

8 Automotive Artificial Intelligence Market, by Process
8.1 Introduction
Figure 44 Signal Recognition Segment Expected to Hold Largest Share of Automotive AI Market, by Process, in 2022
Table 65 Automotive AI Market, by Process, 2018-2021 (USD Million)
Table 66 Automotive AI Market, by Process, 2022-2027 (USD Million)
8.2 Signal Recognition
8.2.1 Enhanced Customer Experience and Increased Safety
Table 67 Automotive AI Market for Signal Recognition, by Application, 2018-2021 (USD Million)
Table 68 Automotive AI Market for Signal Recognition, by Application, 2022-2027 (USD Million)
Figure 45 North America to Hold Largest Share of Automotive AI Market for Signal Recognition During Forecast Period
Table 69 Automotive AI Market for Signal Recognition, by Region, 2018-2021 (USD Million)
Table 70 Automotive AI Market for Signal Recognition, by Region, 2022-2027 (USD Million)
8.3 Image Recognition
8.3.1 Increased Demand due to Advancements in Automotive Industry
Figure 46 Hmi Technology to Hold Largest Share of Automotive AI Market for Image Recognition During Forecast Period
Table 71 Automotive AI Market for Image Recognition, by Application, 2018-2021 (USD Million)
Table 72 Automotive AI Market for Image Recognition, by Application, 2022-2027 (USD Million)
Table 73 Automotive AI Market for Image Recognition, by Region, 2018-2021 (USD Million)
Table 74 Automotive AI Market for Image Recognition, by Region, 2022-2027 (USD Million)
8.4 Data Mining
8.4.1 Facilitates Quick and Informed Decisions
Table 75 Automotive AI Market for Data Mining, by Application, 2018-2021 (USD Million)
Table 76 Automotive AI Market for Data Mining, by Application, 2022-2027 (USD Million)
Table 77 Automotive AI Market, for Data Mining, by Region, 2018-2021 (USD Million)
Table 78 Automotive AI Market, for Data Mining, by Region, 2022-2027 (USD Million)

9 Automotive Artificial Intelligence Market, by Application
9.1 Introduction
Figure 47 HMI Application to Hold Largest Share of Automotive AI Market by 2027
Table 79 Automotive AI Market, by Application, 2018-2021 (USD Million)
Table 80 Automotive AI Market, by Application, 2022-2027 (USD Million)
9.2 Human-Machine Interface (HMI)
9.2.1 Improves Customer Experience Through Interaction with Multi-Dashboards
Figure 48 North America Expected to Dominate HMI Segment of Automotive AI Market During Forecast Period
Table 81 Automotive AI Market for HMI, by Region, 2018-2021 (USD Million)
Table 82 Automotive AI Market for HMI, by Region, 2022-2027 (USD Million)
Table 83 Automotive AI Market for HMI, by Process, 2018-2021 (USD Million)
Table 84 Automotive AI Market for HMI, by Process, 2022-2027 (USD Million)
Table 85 Automotive AI Market for HMI, by Technology, 2018-2021 (USD Million)
Table 86 Automotive AI Market for HMI, by Technology, 2022-2027 (USD Million)
9.3 Semi-Autonomous Driving
9.3.1 Use of AI to Control Specific Environmental Conditions
Table 87 Automotive AI Market for Semi-Autonomous Driving, by Region, 2018-2021 (USD Million)
Table 88 Automotive AI Market for Semi-Autonomous Driving, by Region, 2022-2027 (USD Million)
Figure 49 Signal Recognition Expected to Dominate Automotive AI Market for Semi-Autonomous Driving Application During Forecast Period
Table 89 Automotive AI Market for Semi-Autonomous Driving, by Process, 2018-2021 (USD Million)
Table 90 Automotive AI Market for Semi-Autonomous Driving, by Process, 2022-2027 (USD Million)
Table 91 Automotive AI Market for Semi-Autonomous Driving, by Technology, 2018-2021 (USD Million)
Table 92 Automotive AI Market for Semi-Autonomous Driving, by Technology, 2022-2027 (USD Million)
9.4 Autonomous Driving
9.4.1 Use of Deep Learning and Sensor Fusion Technology for Self-Driving Cars
Table 93 Automotive AI Market for Autonomous Driving, by Region, 2018-2021 (USD Million)
Table 94 Automotive AI Market for Autonomous Driving, by Region, 2022-2027 (USD Million)
Table 95 Automotive AI Market for Autonomous Driving, by Process, 2018-2021 (USD Million)
Table 96 Automotive AI Market for Autonomous Driving, by Process, 2022-2027 (USD Million)
Figure 50 Deep Learning Expected to Dominate Automotive AI Market for Autonomous Driving Application During Forecast Period
Table 97 Automotive AI Market for Autonomous Driving, by Technology, 2018-2021 (USD Million)
Table 98 Automotive AI Market for Autonomous Driving, by Technology, 2022-2027 (USD Million)
9.5 Identity Authentication
9.5.1 Limiting Access to Authorized Users for Improved Safety
9.6 Driver Monitoring
9.6.1 Driver Monitoring Systems Reduce Risk of Collisions
9.7 Autonomous Driving Processor Chips
9.7.1 Growing Demand for High-Performance Data Processing Chips

10 Automotive Artificial Intelligence Market, by Component
10.1 Introduction
Figure 51 Gpu Component to Hold Largest Share of Automotive AI Market by 2027
Table 99 Automotive AI Market, by Component, 2018-2021 (USD Million)
Table 100 Automotive AI Market, by Component, 2022-2027 (USD Million)
10.2 Microprocessors
10.2.1 Designed to be Crucial Components of Vehicles
10.3 Graphics Processing Unit (GPU)
10.3.1 Used to Support Digital Dashboards in Vehicles
10.4 Field Programmable Gate Array (FPGA)
10.4.1 Enable Increased Customization and Scalability
10.5 Memory and Storage Systems
10.5.1 Rising High-Bandwidth Memory Requirements to Drive Market Growth
10.6 Image Sensors
10.6.1 Used to Enhance Performance of Autonomous Vehicles
10.7 Biometric Scanners
10.7.1 Varied Applications Lead to High Adoption
10.8 Others
10.8.1 Cloud AI Facilitates Timely Availability of Data

11 Geographic Analysis
11.1 Introduction
Figure 52 North America Expected to Dominate Automotive AI Market During Forecast Period
Table 101 Automotive AI Market, by Region, 2018-2021 (USD Million)
Table 102 Automotive AI Market, by Region, 2022-2027 (USD Million)
11.2 North America
Figure 53 North America: Market Snapshot
Table 103 Automotive AI Market, for North America, by Application, 2018-2021 (USD Million)
Table 104 Automotive AI Market, for North America, by Application, 2022-2027 (USD Million)
Table 105 Automotive AI Market, for North America, by Offering, 2018-2021 (USD Million)
Table 106 Automotive AI Market, for North America, by Offering, 2022-2027 (USD Million)
Table 107 Automotive AI Market, for North America, by Process, 2018-2021 (USD Million)
Table 108 Automotive AI Market, for North America, by Process, 2022-2027 (USD Million)
Table 109 Automotive AI Market, for North America, by Technology, 2018-2021 (USD Million)
Table 110 Automotive AI Market, for North America, by Technology, 2022-2027 (USD Million)
Table 111 Automotive AI Market, North America, by Country, 2018-2021 (USD Million)
Table 112 Automotive AI Market, North America, by Country, 2022-2027 (USD Million)
11.2.1 US
11.2.1.1 Development of Autonomous Vehicles Expected to Propel Demand for Automotive AI
11.2.2 Canada
11.2.2.1 Increasing Adoption of Ai-Based Systems in the Automotive Industry
11.2.3 Mexico
11.2.3.1 Low Labor Costs to Boost Automotive AI Market
11.3 Europe
Figure 54 Europe: Market Snapshot
Table 113 Automotive AI Market, for Europe, by Application, 2018-2021 (USD Million)
Table 114 Automotive AI Market, for Europe, by Application, 2022-2027 (USD Million)
Table 115 Automotive AI Market, for Europe, by Offering, 2018-2021 (USD Million)
Table 116 Automotive AI Market, for Europe, by Offering, 2022-2027 (USD Million)
Table 117 Automotive AI Market, for Europe, by Process, 2018-2021 (USD Million)
Table 118 Automotive AI Market, for Europe, by Process, 2022-2027 (USD Million)
Table 119 Automotive AI Market, for Europe, by Technology, 2018-2021 (USD Million)
Table 120 Automotive AI Market, for Europe, by Technology, 2022-2027 (USD Million)
Figure 55 Germany Expected to Dominate Automotive AI Market in Europe During Forecast Period
Table 121 Automotive AI Market, Europe, by Region, 2018-2021 (USD Million)
Table 122 Automotive AI Market, Europe, by Region, 2022-2027 (USD Million)
11.3.1 Germany
11.3.1.1 High Adoption of Computer Vision Systems to Propel Market Growth
11.3.2 France
11.3.2.1 Increasing Demand for Advanced Vehicle Safety Features to Boost Market
11.3.3 UK
11.3.3.1 Increasing Demand for Ai-Based Solutions to Drive Market
11.3.4 Rest of Europe
11.3.4.1 Increasing AI Development to Boost Opportunities for Market Growth
11.4 Asia-Pacific
Figure 56 Asia-Pacific: Market Snapshot
Table 123 Automotive AI Market, for Asia-Pacific, by Application, 2018-2021 (USD Million)
Table 124 Automotive AI Market, for Asia-Pacific, by Application, 2022-2027 (USD Million)
Table 125 Automotive AI Market, for Asia-Pacific, by Offering, 2018-2021 (USD Million)
Table 126 Automotive AI Market, for Asia-Pacific, by Offering, 2022-2027 (USD Million)
Table 127 Automotive AI Market, for Asia-Pacific, by Process, 2018-2021 (USD Million)
Table 128 Automotive AI Market, for Asia-Pacific, by Process, 2022-2027 (USD Million)
Table 129 Automotive AI Market, for Asia-Pacific, by Technology, 2018-2021 (USD Million)
Table 130 Automotive AI Market, for Asia-Pacific, by Technology, 2022-2027 (USD Million)
Figure 57 China Expected to Dominate Automotive AI Market in Asia-Pacific During Forecast Period
Table 131 Automotive AI Market, Asia-Pacific, by Region, 2018-2021 (USD Million))
Table 132 Automotive AI Market, Asia-Pacific, by Region, 2022-2027 (USD Million))
11.4.1 China
11.4.1.1 Growth of Automotive Sector to Drive Market Growth
11.4.2 Japan
11.4.2.1 Presence of Numerous AI Solution Providers to Bolster Market Growth
11.4.3 South Korea
11.4.3.1 Government Regulations to Boost Market
11.4.4 Rest of APAC
11.4.4.1 Rising Use of Driver Assistance Systems to Support Market
11.5 Rest of the World
Table 133 Automotive AI Market, for Row, by Application, 2018-2021 (USD Million)
Table 134 Automotive AI Market, for Row, by Application, 2022-2027 (USD Million)
Table 135 Automotive AI Market, for Row, by Offering, 2018-2021 (USD Million)
Table 136 Automotive AI Market, for Row, by Offering, 2022-2027 (USD Million)
Table 137 Automotive AI Market, for Row, by Process, 2018-2021 (USD Million)
Table 138 Automotive AI Market, for Row, by Process, 2022-2027 (USD Million)
Table 139 Automotive AI Market, for Row, by Technology, 2018-2021 (USD Million)
Table 140 Automotive AI Market, for Row, by Technology, 2022-2027 (USD Million)
Table 141 Automotive AI Market, Row, by Region, 2018-2021 (USD Million)
Table 142 Automotive AI Market, Row, by Region, 2022-2027 (USD Million)
11.5.1 South America
11.5.1.1 Development of AI Technologies Expected to Boost Market Growth
11.5.2 Middle East & Africa
11.5.2.1 Increasing Investments in to Bolster Market

12 Competitive Landscape
12.1 Introduction
12.2 Revenue Analysis: Top Companies
Figure 58 Top 5 Players Dominated Automotive Artificial Intelligence Market Over Last 5 Years
12.3 Strategies Adopted by Key Players
Table 143 Overview of Strategies Adopted by Players in Automotive Artificial Intelligence Market
12.4 Market Share Analysis, 2021
Table 144 Automotive Artificial Intelligence Market: Degree of Competition
Figure 59 Automotive Artificial Intelligence Market Share, by Company (2021)
12.5 Company Evaluation Quadrant
12.5.1 Stars
12.5.2 Pervasive Players
12.5.3 Emerging Leaders
12.5.4 Participants
Figure 60 Automotive Artificial Intelligence Market (Global) Company Evaluation Quadrant, 2021
12.6 Company Footprint
12.6.1 Application and Regional Footprint of Top Players
Table 145 Application and Regional Footprint of Top Companies
Table 146 Application Footprint of Companies
Table 147 Regional Footprint of Companies
12.7 Start-Up/SME Evaluation Quadrant, 2021
12.7.1 Progressive Companies
12.7.2 Responsive Companies
12.7.3 Dynamic Companies
12.7.4 Starting Blocks
Figure 61 Automotive Artificial Intelligence Market (Global) Start-Up/SME Evaluation Quadrant, 2021
12.8 Competitive Scenarios & Trends
Table 148 Automotive Artificial Intelligent Market: Product Launches
Table 149 Automotive Artificial Intelligence Market: Deals
12.9 Competitive Benchmarking
Table 150 Automotive Artificial Intelligence Market: Key Start-Ups/SMEs
Table 151 Automotive Artificial Intelligence Market: Competitive Benchmarking of Key Start-Ups/SMEs

13 Company Profiles
13.1 Key Players
(Business Overview, Products Offered, Recent Developments, and Analyst's View)*
13.1.1 Nvidia Corporation
Table 152 Nvidia: Business Overview
Figure 62 Nvidia Corporation: Company Snapshot
Table 153 Nvidia: Products Offered
Table 154 Nvidia: Deals
13.1.2 Alphabet Inc.
Table 155 Alphabet: Business Overview
Figure 63 Alphabet Inc.: Company Snapshot
Table 156 Alphabet: Products Offered
Table 157 Alphabet: Product Launches
Table 158 Alphabet: Deals
13.1.3 Intel Corporation
Table 159 Intel: Business Overview
Figure 64 Intel Corporation: Company Snapshot
Table 160 Intel: Products Offered
Table 161 Intel: Product Launches
Table 162 Intel: Deals
13.1.4 Microsoft Corporation
Table 163 Microsoft Corporation: Business Overview
Figure 65 Microsoft Corporation: Company Snapshot
Table 164 Microsoft Corporation: Products Offered
Table 165 Microsoft Corporation: Product Launches
Table 166 Microsoft Corporation: Deals
13.1.5 International Business Machines Corporation
Table 167 Ibm: Business Overview
Figure 66 IBM Corporation: Company Snapshot
Table 168 Ibm: Products Offered
Table 169 Ibm: Product Launches
13.1.6 Qualcomm Inc.
Table 170 Qualcomm: Business Overview
Figure 67 Qualcomm Inc.: Company Snapshot
Table 171 Qualcomm: Products Offered
Table 172 Qualcomm: Product Launches
Table 173 Qualcomm: Deals
13.1.7 Tesla, Inc.
Table 174 Tesla: Business Overview
Figure 68 Tesla Inc.: Company Snapshot
Table 175 Tesla: Products Offered
Table 176 Tesla: Deals
13.1.8 Bayerische Motoren Werke Ag
Table 177 Bmw Ag: Business Overview
Figure 69 Bayerische Motoren Werke Ag: Company Snapshot
Table 178 Bmw Ag: Products Offered
Table 179 Bmw Ag: Product Launches
Table 180 Bmw Ag: Deals
13.1.9 Xilinx, Inc.
Table 181 Xilinx, Inc.: Business Overview
Figure 70 Xilinx, Inc.: Company Snapshot
Table 182 Xilinx, Inc.: Products Offered
Table 183 Xilinx, Inc.: Product Launches
Table 184 Xilinx, Inc.: Deals
13.1.10 Micron Technology
Table 185 Micron Technology: Business Overview
Figure 71 Micron Technology: Company Snapshot
Table 186 Micron Technology: Products Offered
Table 187 Micron Technology: Product Launches
Table 188 Micron Technology: Deals
13.2 Other Key Players
13.2.1 Harman International Industries, Inc.
13.2.2 Volvo Cars
13.2.3 Audi Ag
13.2.4 General Motors Company
13.2.5 Ford Motor Company
13.2.6 Toyota Motor Corporation
13.2.7 Honda Motor Co. Ltd.
13.2.8 Hyundai Motor Co., Ltd
13.2.9 Daimler Ag
13.2.10 Uber Technologies, Inc
13.2.11 Didi Chuxing
13.3 Other Players
13.3.1 Mitsubishi Electric
13.3.2 Automotive Artificial Intelligence (AAI) GmbH
13.3.3 Nauto
13.3.4 Argo AI
13.3.5 German Autolabs
13.3.6 Tractable
13.3.7 Igloble
13.3.8 Soniclue
13.3.9 Ather
13.3.10 Rivigo
13.3.11 Motional
13.3.12 Refraction AI
13.3.13 Sapientx
13.3.14 Carvi
13.3.15 Zoox
* Business Overview, Products Offered, Recent Developments, and Analyst's View Might Not be Captured in Case of Unlisted Companies.

14 Appendix
14.1 Insights from Industry Experts
14.2 Discussion Guide
14.3 Knowledgestore: The Subscription Portal
14.4 Customization Options

Companies Mentioned

  • Alphabet Inc.
  • Argo AI
  • Ather
  • Audi Ag
  • Automotive Artificial Intelligence (AAI) GmbH
  • Bayerische Motoren Werke Ag
  • Carvi
  • Daimler Ag
  • Didi Chuxing
  • Ford Motor Company
  • General Motors Company
  • German Autolabs
  • Harman International Industries, Inc.
  • Honda Motor Co. Ltd.
  • Hyundai Motor Co., Ltd
  • Igloble
  • Intel Corporation
  • International Business Machines Corporation
  • Micron Technology
  • Microsoft Corporation
  • Mitsubishi Electric
  • Motional
  • Nauto
  • Nvidia Corporation
  • Qualcomm Inc.
  • Refraction AI
  • Rivigo
  • Sapientx
  • Soniclue
  • Tesla, Inc.
  • Toyota Motor Corporation
  • Tractable
  • Uber Technologies, Inc
  • Volvo Cars
  • Xilinx, Inc.
  • Zoox

Methodology

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Table Information

Report AttributeDetails
No. of Pages259
PublishedAugust 2022
Forecast Period2022 - 2027
Estimated Market Value ( USD ) in 2022 $ 2.3 Billion
Forecasted Market Value ( USD ) by 2027 $ 7 Billion
Compound Annual Growth Rate24.1%
Regions CoveredGlobal
No. of Companies Mentioned36

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