PUBLISHER: Stratistics Market Research Consulting | PRODUCT CODE: 1094334
PUBLISHER: Stratistics Market Research Consulting | PRODUCT CODE: 1094334
Automotive Artificial Intelligence Market Forecasts to 2028 - Global Analysis By Technology (Computer Vision, Context-Aware Computing, Machine Learning & Deep Learning, Natural Language Processing (NLP)), Component, and By Geography
According to Stratistics MRC, the Global Automotive Artificial Intelligence Market is accounted for $2.23 billion in 2021 and is expected to reach $22.05 billion by 2028 growing at a CAGR of 38.7% during the forecast period. Artificial intelligence is becoming a dynamic business norm. It is associated with human intelligence through similar characteristics such as language understanding, reasoning, learning, problem solving, and others. The rising adoption of automotive artificial intelligence is routing in a new era allowing the companies to track their operations, enhance in-car user experience, augment business strategies, provide a better outcome in the digital world, and develop autonomous and semi-autonomous vehicles.
Market Dynamics:
Driver:
Growing technological advancements
Considering the largest auto companies investing extensively in artificial intelligence for autos, industry-wide standards like navigation systems, sophisticated automated driving, and blind-spot alerts are expected to further fuel market expansion. Automotive vehicle provides many features such as adaptive cruise control, automatic emergency braking, automatic parking, lane departure warning systems, and adaptive headlights. With technological enhancements, the number of such features is continuously expanding. Automotive manufacturers are aggressively working towards incorporating advanced technologies in their vehicles for enhancing the user experience.
Restraint:
Lack of AI expertise
A lack of AI expertise is another big drawback in the auto and other industries, a skills gap that is not likely to be remedied anytime soon. The problem-solving inference phase also has drawbacks. Large models, especially for AVs, require tremendous computing resources to crunch sensor data and support complex software. Those resources also require power, which is always limited in auto applications. Emerging technologies will improve capabilities and reduce inferencing costs, including emerging AI chip technology, declining LIDAR prices and increased sensor performance.
Opportunity:
Rising demand for autonomous vehicles
As the adoption of artificial intelligence in autonomous vehicles progresses from needing driver assistance to having full autonomy, enhanced user experience and convenience features, driverless cars are becoming a reality. Autonomous vehicles are called driverless vehicles or self-driven that use artificial intelligence (AI) software, light detection & ranging (LiDAR), RADAR, computer vision, GPS sensing technology and sensors to operate without any human interference. The increasing government focus on streamlined traffic infrastructure and regulations, growing demand for a reliable transportation system, and availability of advanced technologies relevant for the automotive industry are driving the demand for autonomous and semi-autonomous vehicles.
Threat:
Rising privacy and security concerns
The autonomous vehicles have made life of consumers convenient and safe. On the other hand, there are certain threats that are faced by the manufacturers related to privacy and security concerns such as cyber-attacks, safety of personal data, and driver distractions. For instance, around 1.4 million Fiat Chryslers were recalled in the US due to a glitch in their dashboard computers that permitted hackers to disable the vehicle. In the similar manner, white hat hackers were successful in implanting malware into the system of a Tesla car. These instances of intruding customer's privacy are some of the major threats for the global market.
The software segment is expected to be the largest during the forecast period
The software segment is estimated to have a lucrative growth due to the advanced technologies emerging in the market and necessity to upgrade systems in order to streamline processes and operations within the automotive industry. Moreover, the gradually decreasing deployment cost of cloud-based software solutions along with a rising need to connect multiple data points for seamless integration of processes will result in software segment emerging as the major shareholder in terms of components.
The computer vision segment is expected to have the highest CAGR during the forecast period
The computer vision segment is anticipated to witness the fastest CAGR growth during the forecast period. Most of the companies across the globe have started to adopt image recognition as one of the artificial intelligence-based solutions in autonomous or semi-autonomous applications which is anticipated to reshape their business. This is mainly attributed to the soaring labor cost, widening the implementation scope of computer vision in autonomous vehicles for signal recognition, driver monitoring and increase in automation for carrying out core operations.
Region with highest share:
North America is projected to hold the largest market share during the forecast period due to the existence of significant manufacturers in this region. The increasing expectation of autonomous cars in the United States has made a substantial contribution to the expansion of the industry in this country. Moreover, as compared to other regions, this area has considerably greater accessibility of advanced technology to develop artificial intelligence systems. Favorable government regulations, combined with the fact that the automotive industry's leading companies, such as Ford Motor Company, Fiat Chrysler Automotive, and General Motors are taking a stand in the advancement of artificial intelligence in automobiles by continuously enhancing their products, will have a better prospect in the global market.
Region with highest CAGR:
Asia Pacific is projected to have the highest CAGR over the forecast period due to the rising government initiatives, an increase in demand for premium vehicles, rising investments in AI technology for improved productivity, and adoption of AI-based solutions and services among autonomous and semi-autonomous applications. For instance, the South Korean government plans to expand the country's production of automation systems and industrial robotics with investments into significant resources worth $6.15 billion. Several other instances similar to the aforementioned ones are indicating lucrative growth of the automotive artificial intelligence market in the region. In addition, developing internet and connectivity infrastructure, growing adoption of intelligent based solutions for automating operations and increasing digitalization are also augmenting the market growth in the Asia Pacific region.
Key players in the market
Some of the key players profiled in the Automotive Artificial Intelligence Market include: Audi AG, BMW, Didi Chuxing, Ford Motor Company, General Motors Company, Honda Motor Co., Ltd, IBM Corporation, Intel Corporation, Micron Technology, Microsoft Corporation, NVIDIA Corporation, Otto Motors, Qualcomm Technologies, Inc, Tesla Inc, Toyota, Waymo, and Xilinx, Inc.
Key Developments:
In May 2021, Didi Chuxing has announced a strategic partnership with Volvo Cars on self-driving vehicles for DiDi's test fleet. Volvo Cars' autonomous drive-ready XC90 vehicles will be the first to feature DiDi Gemini, a new self-driving hardware platform outfitted with NVIDIA DRIVE AGX Pegasus. These vehicles, which are outfitted with DiDi's Gemini self-driving hardware platform, will eventually be used in robotaxi services.
In June 2020, Waymo and the Volvo Cars Group agreed to collaborate on the development of a self-driving electric vehicle for ride hailing as part of a new global cooperation. Waymo will concentrate on artificial intelligence and specific technology, like cameras, lidar, and radar, for the autonomous "driver." Volvo will design and construct the automobiles.
Technologies Covered:
- Computer Vision
- Context-Aware Computing
- Machine Learning & Deep Learning
- Natural Language Processing (NLP)
Components Covered:
- Hardware
- Software
- Services
Processes Covered:
- Data Mining
- Image Recognition
- Signal Recognition
- Voice Recognition
Applications Covered:
- Autonomous
- Semi-Autonomous Driving
- Human Machine Interface
Regions Covered:
- North America
- US
- Canada
- Mexico
- Europe
- Germany
- UK
- Italy
- France
- Spain
- Rest of Europe
- Asia Pacific
- Japan
- China
- India
- Australia
- New Zealand
- South Korea
- Rest of Asia Pacific
- South America
- Argentina
- Brazil
- Chile
- Rest of South America
- Middle East & Africa
- Saudi Arabia
- UAE
- Qatar
- South Africa
- Rest of Middle East & Africa
What our report offers:
- Market share assessments for the regional and country-level segments
- Strategic recommendations for the new entrants
- Covers Market data for the years 2020, 2021, 2022, 2025, and 2028
- Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
- Strategic recommendations in key business segments based on the market estimations
- Competitive landscaping mapping the key common trends
- Company profiling with detailed strategies, financials, and recent developments
- Supply chain trends mapping the latest technological advancements
Free Customization Offerings:
All the customers of this report will be entitled to receive one of the following free customization options:
- Company Profiling
- Comprehensive profiling of additional market players (up to 3)
- SWOT Analysis of key players (up to 3)
- Regional Segmentation
- Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
- Competitive Benchmarking
- Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances
Table of Contents
1 Executive Summary
2 Preface
- 2.1 Abstract
- 2.2 Stake Holders
- 2.3 Research Scope
- 2.4 Research Methodology
- 2.4.1 Data Mining
- 2.4.2 Data Analysis
- 2.4.3 Data Validation
- 2.4.4 Research Approach
- 2.5 Research Sources
- 2.5.1 Primary Research Sources
- 2.5.2 Secondary Research Sources
- 2.5.3 Assumptions
3 Market Trend Analysis
- 3.1 Introduction
- 3.2 Drivers
- 3.3 Restraints
- 3.4 Opportunities
- 3.5 Threats
- 3.6 Technology Analysis
- 3.7 Application Analysis
- 3.8 Emerging Markets
- 3.9 Impact of Covid-19
4 Porters Five Force Analysis
- 4.1 Bargaining power of suppliers
- 4.2 Bargaining power of buyers
- 4.3 Threat of substitutes
- 4.4 Threat of new entrants
- 4.5 Competitive rivalry
5 Global Automotive Artificial Intelligence Market, By Technology
- 5.1 Introduction
- 5.2 Computer Vision
- 5.3 Context-Aware Computing
- 5.4 Machine Learning & Deep Learning
- 5.5 Natural Language Processing (NLP)
6 Global Automotive Artificial Intelligence Market, By Component
- 6.1 Introduction
- 6.2 Hardware
- 6.2.1 Memory
- 6.2.2 Networks
- 6.2.3 Processor
- 6.2.3.1 Graphics Processing Unit (GPU)
- 6.2.3.2 Microprocessor (MPU)
- 6.3 Software
- 6.4 Services
7 Global Automotive Artificial Intelligence Market, By Process
- 7.1 Introduction
- 7.2 Data Mining
- 7.3 Image Recognition
- 7.4 Signal Recognition
- 7.5 Voice Recognition
8 Global Automotive Artificial Intelligence Market, By Application
- 8.1 Introduction
- 8.2 Autonomous
- 8.3 Semi-Autonomous Driving
- 8.4 Human Machine Interface
9 Global Automotive Artificial Intelligence Market, By Geography
- 9.1 Introduction
- 9.2 North America
- 9.2.1 US
- 9.2.2 Canada
- 9.2.3 Mexico
- 9.3 Europe
- 9.3.1 Germany
- 9.3.2 UK
- 9.3.3 Italy
- 9.3.4 France
- 9.3.5 Spain
- 9.3.6 Rest of Europe
- 9.4 Asia Pacific
- 9.4.1 Japan
- 9.4.2 China
- 9.4.3 India
- 9.4.4 Australia
- 9.4.5 New Zealand
- 9.4.6 South Korea
- 9.4.7 Rest of Asia Pacific
- 9.5 South America
- 9.5.1 Argentina
- 9.5.2 Brazil
- 9.5.3 Chile
- 9.5.4 Rest of South America
- 9.6 Middle East & Africa
- 9.6.1 Saudi Arabia
- 9.6.2 UAE
- 9.6.3 Qatar
- 9.6.4 South Africa
- 9.6.5 Rest of Middle East & Africa
10 Key Developments
- 10.1 Agreements, Partnerships, Collaborations and Joint Ventures
- 10.2 Acquisitions & Mergers
- 10.3 New Product Launch
- 10.4 Expansions
- 10.5 Other Key Strategies
11 Company Profiling
- 11.1 Audi AG
- 11.2 BMW
- 11.3 Didi Chuxing
- 11.4 Ford Motor Company
- 11.5 General Motors Company
- 11.6 Honda Motor Co., Ltd
- 11.7 IBM Corporation
- 11.8 Intel Corporation
- 11.9 Micron Technology
- 11.10 Microsoft Corporation
- 11.11 NVIDIA Corporation
- 11.12 Otto Motors
- 11.13 Qualcomm Technologies, Inc
- 11.14 Tesla Inc
- 11.15 Toyota
- 11.16 Waymo
- 11.17 Xilinx, Inc
List of Tables
- Table 1 Global Automotive Artificial Intelligence Market Outlook, By Region (2020-2028) ($MN)
- Table 2 Global Automotive Artificial Intelligence Market Outlook, By Technology (2020-2028) ($MN)
- Table 3 Global Automotive Artificial Intelligence Market Outlook, By Computer Vision (2020-2028) ($MN)
- Table 4 Global Automotive Artificial Intelligence Market Outlook, By Context-Aware Computing (2020-2028) ($MN)
- Table 5 Global Automotive Artificial Intelligence Market Outlook, By Machine Learning & Deep Learning (2020-2028) ($MN)
- Table 6 Global Automotive Artificial Intelligence Market Outlook, By Natural Language Processing (NLP) (2020-2028) ($MN)
- Table 7 Global Automotive Artificial Intelligence Market Outlook, By Component (2020-2028) ($MN)
- Table 8 Global Automotive Artificial Intelligence Market Outlook, By Hardware (2020-2028) ($MN)
- Table 9 Global Automotive Artificial Intelligence Market Outlook, By Memory (2020-2028) ($MN)
- Table 10 Global Automotive Artificial Intelligence Market Outlook, By Networks (2020-2028) ($MN)
- Table 11 Global Automotive Artificial Intelligence Market Outlook, By Processor (2020-2028) ($MN)
- Table 12 Global Automotive Artificial Intelligence Market Outlook, By Software (2020-2028) ($MN)
- Table 13 Global Automotive Artificial Intelligence Market Outlook, By Services (2020-2028) ($MN)
- Table 14 Global Automotive Artificial Intelligence Market Outlook, By Process (2020-2028) ($MN)
- Table 15 Global Automotive Artificial Intelligence Market Outlook, By Data Mining (2020-2028) ($MN)
- Table 16 Global Automotive Artificial Intelligence Market Outlook, By Image Recognition (2020-2028) ($MN)
- Table 17 Global Automotive Artificial Intelligence Market Outlook, By Signal Recognition (2020-2028) ($MN)
- Table 18 Global Automotive Artificial Intelligence Market Outlook, By Voice Recognition (2020-2028) ($MN)
- Table 19 Global Automotive Artificial Intelligence Market Outlook, By Application (2020-2028) ($MN)
- Table 20 Global Automotive Artificial Intelligence Market Outlook, By Autonomous (2020-2028) ($MN)
- Table 21 Global Automotive Artificial Intelligence Market Outlook, By Semi-Autonomous Driving (2020-2028) ($MN)
- Table 22 Global Automotive Artificial Intelligence Market Outlook, By Human Machine Interface (2020-2028) ($MN)
- Table 23 North America Automotive Artificial Intelligence Market Outlook, By Country (2020-2028) ($MN)
- Table 24 North America Automotive Artificial Intelligence Market Outlook, By Technology (2020-2028) ($MN)
- Table 25 North America Automotive Artificial Intelligence Market Outlook, By Computer Vision (2020-2028) ($MN)
- Table 26 North America Automotive Artificial Intelligence Market Outlook, By Context-Aware Computing (2020-2028) ($MN)
- Table 27 North America Automotive Artificial Intelligence Market Outlook, By Machine Learning & Deep Learning (2020-2028) ($MN)
- Table 28 North America Automotive Artificial Intelligence Market Outlook, By Natural Language Processing (NLP) (2020-2028) ($MN)
- Table 29 North America Automotive Artificial Intelligence Market Outlook, By Component (2020-2028) ($MN)
- Table 30 North America Automotive Artificial Intelligence Market Outlook, By Hardware (2020-2028) ($MN)
- Table 31 North America Automotive Artificial Intelligence Market Outlook, By Memory (2020-2028) ($MN)
- Table 32 North America Automotive Artificial Intelligence Market Outlook, By Networks (2020-2028) ($MN)
- Table 33 North America Automotive Artificial Intelligence Market Outlook, By Processor (2020-2028) ($MN)
- Table 34 North America Automotive Artificial Intelligence Market Outlook, By Software (2020-2028) ($MN)
- Table 35 North America Automotive Artificial Intelligence Market Outlook, By Services (2020-2028) ($MN)
- Table 36 North America Automotive Artificial Intelligence Market Outlook, By Process (2020-2028) ($MN)
- Table 37 North America Automotive Artificial Intelligence Market Outlook, By Data Mining (2020-2028) ($MN)
- Table 38 North America Automotive Artificial Intelligence Market Outlook, By Image Recognition (2020-2028) ($MN)
- Table 39 North America Automotive Artificial Intelligence Market Outlook, By Signal Recognition (2020-2028) ($MN)
- Table 40 North America Automotive Artificial Intelligence Market Outlook, By Voice Recognition (2020-2028) ($MN)
- Table 41 North America Automotive Artificial Intelligence Market Outlook, By Application (2020-2028) ($MN)
- Table 42 North America Automotive Artificial Intelligence Market Outlook, By Autonomous (2020-2028) ($MN)
- Table 43 North America Automotive Artificial Intelligence Market Outlook, By Semi-Autonomous Driving (2020-2028) ($MN)
- Table 44 North America Automotive Artificial Intelligence Market Outlook, By Human Machine Interface (2020-2028) ($MN)
- Table 45 Europe Automotive Artificial Intelligence Market Outlook, By Country (2020-2028) ($MN)
- Table 46 Europe Automotive Artificial Intelligence Market Outlook, By Technology (2020-2028) ($MN)
- Table 47 Europe Automotive Artificial Intelligence Market Outlook, By Computer Vision (2020-2028) ($MN)
- Table 48 Europe Automotive Artificial Intelligence Market Outlook, By Context-Aware Computing (2020-2028) ($MN)
- Table 49 Europe Automotive Artificial Intelligence Market Outlook, By Machine Learning & Deep Learning (2020-2028) ($MN)
- Table 50 Europe Automotive Artificial Intelligence Market Outlook, By Natural Language Processing (NLP) (2020-2028) ($MN)
- Table 51 Europe Automotive Artificial Intelligence Market Outlook, By Component (2020-2028) ($MN)
- Table 52 Europe Automotive Artificial Intelligence Market Outlook, By Hardware (2020-2028) ($MN)
- Table 53 Europe Automotive Artificial Intelligence Market Outlook, By Memory (2020-2028) ($MN)
- Table 54 Europe Automotive Artificial Intelligence Market Outlook, By Networks (2020-2028) ($MN)
- Table 55 Europe Automotive Artificial Intelligence Market Outlook, By Processor (2020-2028) ($MN)
- Table 56 Europe Automotive Artificial Intelligence Market Outlook, By Software (2020-2028) ($MN)
- Table 57 Europe Automotive Artificial Intelligence Market Outlook, By Services (2020-2028) ($MN)
- Table 58 Europe Automotive Artificial Intelligence Market Outlook, By Process (2020-2028) ($MN)
- Table 59 Europe Automotive Artificial Intelligence Market Outlook, By Data Mining (2020-2028) ($MN)
- Table 60 Europe Automotive Artificial Intelligence Market Outlook, By Image Recognition (2020-2028) ($MN)
- Table 61 Europe Automotive Artificial Intelligence Market Outlook, By Signal Recognition (2020-2028) ($MN)
- Table 62 Europe Automotive Artificial Intelligence Market Outlook, By Voice Recognition (2020-2028) ($MN)
- Table 63 Europe Automotive Artificial Intelligence Market Outlook, By Application (2020-2028) ($MN)
- Table 64 Europe Automotive Artificial Intelligence Market Outlook, By Autonomous (2020-2028) ($MN)
- Table 65 Europe Automotive Artificial Intelligence Market Outlook, By Semi-Autonomous Driving (2020-2028) ($MN)
- Table 66 Europe Automotive Artificial Intelligence Market Outlook, By Human Machine Interface (2020-2028) ($MN)
- Table 67 Asia Pacific Automotive Artificial Intelligence Market Outlook, By Country (2020-2028) ($MN)
- Table 68 Asia Pacific Automotive Artificial Intelligence Market Outlook, By Technology (2020-2028) ($MN)
- Table 69 Asia Pacific Automotive Artificial Intelligence Market Outlook, By Computer Vision (2020-2028) ($MN)
- Table 70 Asia Pacific Automotive Artificial Intelligence Market Outlook, By Context-Aware Computing (2020-2028) ($MN)
- Table 71 Asia Pacific Automotive Artificial Intelligence Market Outlook, By Machine Learning & Deep Learning (2020-2028) ($MN)
- Table 72 Asia Pacific Automotive Artificial Intelligence Market Outlook, By Natural Language Processing (NLP) (2020-2028) ($MN)
- Table 73 Asia Pacific Automotive Artificial Intelligence Market Outlook, By Component (2020-2028) ($MN)
- Table 74 Asia Pacific Automotive Artificial Intelligence Market Outlook, By Hardware (2020-2028) ($MN)
- Table 75 Asia Pacific Automotive Artificial Intelligence Market Outlook, By Memory (2020-2028) ($MN)
- Table 76 Asia Pacific Automotive Artificial Intelligence Market Outlook, By Networks (2020-2028) ($MN)
- Table 77 Asia Pacific Automotive Artificial Intelligence Market Outlook, By Processor (2020-2028) ($MN)
- Table 78 Asia Pacific Automotive Artificial Intelligence Market Outlook, By Software (2020-2028) ($MN)
- Table 79 Asia Pacific Automotive Artificial Intelligence Market Outlook, By Services (2020-2028) ($MN)
- Table 80 Asia Pacific Automotive Artificial Intelligence Market Outlook, By Process (2020-2028) ($MN)
- Table 81 Asia Pacific Automotive Artificial Intelligence Market Outlook, By Data Mining (2020-2028) ($MN)
- Table 82 Asia Pacific Automotive Artificial Intelligence Market Outlook, By Image Recognition (2020-2028) ($MN)
- Table 83 Asia Pacific Automotive Artificial Intelligence Market Outlook, By Signal Recognition (2020-2028) ($MN)
- Table 84 Asia Pacific Automotive Artificial Intelligence Market Outlook, By Voice Recognition (2020-2028) ($MN)
- Table 85 Asia Pacific Automotive Artificial Intelligence Market Outlook, By Application (2020-2028) ($MN)
- Table 86 Asia Pacific Automotive Artificial Intelligence Market Outlook, By Autonomous (2020-2028) ($MN)
- Table 87 Asia Pacific Automotive Artificial Intelligence Market Outlook, By Semi-Autonomous Driving (2020-2028) ($MN)
- Table 88 Asia Pacific Automotive Artificial Intelligence Market Outlook, By Human Machine Interface (2020-2028) ($MN)
- Table 89 South America Automotive Artificial Intelligence Market Outlook, By Country (2020-2028) ($MN)
- Table 90 South America Automotive Artificial Intelligence Market Outlook, By Technology (2020-2028) ($MN)
- Table 91 South America Automotive Artificial Intelligence Market Outlook, By Computer Vision (2020-2028) ($MN)
- Table 92 South America Automotive Artificial Intelligence Market Outlook, By Context-Aware Computing (2020-2028) ($MN)
- Table 93 South America Automotive Artificial Intelligence Market Outlook, By Machine Learning & Deep Learning (2020-2028) ($MN)
- Table 94 South America Automotive Artificial Intelligence Market Outlook, By Natural Language Processing (NLP) (2020-2028) ($MN)
- Table 95 South America Automotive Artificial Intelligence Market Outlook, By Component (2020-2028) ($MN)
- Table 96 South America Automotive Artificial Intelligence Market Outlook, By Hardware (2020-2028) ($MN)
- Table 97 South America Automotive Artificial Intelligence Market Outlook, By Memory (2020-2028) ($MN)
- Table 98 South America Automotive Artificial Intelligence Market Outlook, By Networks (2020-2028) ($MN)
- Table 99 South America Automotive Artificial Intelligence Market Outlook, By Processor (2020-2028) ($MN)
- Table 100 South America Automotive Artificial Intelligence Market Outlook, By Software (2020-2028) ($MN)
- Table 101 South America Automotive Artificial Intelligence Market Outlook, By Services (2020-2028) ($MN)
- Table 102 South America Automotive Artificial Intelligence Market Outlook, By Process (2020-2028) ($MN)
- Table 103 South America Automotive Artificial Intelligence Market Outlook, By Data Mining (2020-2028) ($MN)
- Table 104 South America Automotive Artificial Intelligence Market Outlook, By Image Recognition (2020-2028) ($MN)
- Table 105 South America Automotive Artificial Intelligence Market Outlook, By Signal Recognition (2020-2028) ($MN)
- Table 106 South America Automotive Artificial Intelligence Market Outlook, By Voice Recognition (2020-2028) ($MN)
- Table 107 South America Automotive Artificial Intelligence Market Outlook, By Application (2020-2028) ($MN)
- Table 108 South America Automotive Artificial Intelligence Market Outlook, By Autonomous (2020-2028) ($MN)
- Table 109 South America Automotive Artificial Intelligence Market Outlook, By Semi-Autonomous Driving (2020-2028) ($MN)
- Table 110 South America Automotive Artificial Intelligence Market Outlook, By Human Machine Interface (2020-2028) ($MN)
- Table 111 Middle East & Africa Automotive Artificial Intelligence Market Outlook, By Country (2020-2028) ($MN)
- Table 112 Middle East & Africa Automotive Artificial Intelligence Market Outlook, By Technology (2020-2028) ($MN)
- Table 113 Middle East & Africa Automotive Artificial Intelligence Market Outlook, By Computer Vision (2020-2028) ($MN)
- Table 114 Middle East & Africa Automotive Artificial Intelligence Market Outlook, By Context-Aware Computing (2020-2028) ($MN)
- Table 115 Middle East & Africa Automotive Artificial Intelligence Market Outlook, By Machine Learning & Deep Learning (2020-2028) ($MN)
- Table 116 Middle East & Africa Automotive Artificial Intelligence Market Outlook, By Natural Language Processing (NLP) (2020-2028) ($MN)
- Table 117 Middle East & Africa Automotive Artificial Intelligence Market Outlook, By Component (2020-2028) ($MN)
- Table 118 Middle East & Africa Automotive Artificial Intelligence Market Outlook, By Hardware (2020-2028) ($MN)
- Table 119 Middle East & Africa Automotive Artificial Intelligence Market Outlook, By Memory (2020-2028) ($MN)
- Table 120 Middle East & Africa Automotive Artificial Intelligence Market Outlook, By Networks (2020-2028) ($MN)
- Table 121 Middle East & Africa Automotive Artificial Intelligence Market Outlook, By Processor (2020-2028) ($MN)
- Table 122 Middle East & Africa Automotive Artificial Intelligence Market Outlook, By Software (2020-2028) ($MN)
- Table 123 Middle East & Africa Automotive Artificial Intelligence Market Outlook, By Services (2020-2028) ($MN)
- Table 124 Middle East & Africa Automotive Artificial Intelligence Market Outlook, By Process (2020-2028) ($MN)
- Table 125 Middle East & Africa Automotive Artificial Intelligence Market Outlook, By Data Mining (2020-2028) ($MN)
- Table 126 Middle East & Africa Automotive Artificial Intelligence Market Outlook, By Image Recognition (2020-2028) ($MN)
- Table 127 Middle East & Africa Automotive Artificial Intelligence Market Outlook, By Signal Recognition (2020-2028) ($MN)
- Table 128 Middle East & Africa Automotive Artificial Intelligence Market Outlook, By Voice Recognition (2020-2028) ($MN)
- Table 129 Middle East & Africa Automotive Artificial Intelligence Market Outlook, By Application (2020-2028) ($MN)
- Table 130 Middle East & Africa Automotive Artificial Intelligence Market Outlook, By Autonomous (2020-2028) ($MN)
- Table 131 Middle East & Africa Automotive Artificial Intelligence Market Outlook, By Semi-Autonomous Driving (2020-2028) ($MN)
- Table 132 Middle East & Africa Automotive Artificial Intelligence Market Outlook, By Human Machine Interface (2020-2028) ($MN)
