Automotive Artificial Intelligence Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2023-2028
Market Overview:
The global automotive artificial intelligence market size reached US$ 3.0 Billion in 2022. Looking forward, IMARC Group expects the market to reach US$ 17.6 Billion by 2028, exhibiting a growth rate (CAGR) of 31.91% during 2023-2028.
Artificial intelligence (AI) is one of the most progressive technologies of computer science concerned with building smart machines capable of performing tasks that are usually done by humans. It is associated with human intelligence through similar characteristics, such as reasoning, language understanding, problem-solving and learning. It is widely used in autonomous and semi-autonomous vehicles to analyze road conditions, predict malfunctions, control smart devices, provide driver assistance functions, schedule maintenance programs, and collect data on events, including accidents, speeding, and traffic violations. This, in turn, assists in enhancing workflow, user experience, privacy, and data security, enabling faster innovation cycles, and ensuring a safe driving experience.
Automotive Artificial Intelligence Market Trends:
The increasing demand for autonomous vehicles across the globe is one of the key factors driving the growth of the market. Autonomous vehicles are widely adopted due to their features, such as self-driving, autopilot and automatic parking that minimize human effort during driving. In line with this, automotive AI aids in predicting the movements of objects in the vicinity of the vehicle, lane driving, self-parking, auto changing lanes, thus enhancing driver comfort and reducing accidents, which, in turn, is favoring the market growth. Moreover, various technological innovations, such as the driver monitoring system, that utilizes a driver-facing hi-tech camera on the dashboard to track drivers eye movements for alerting drivers from distraction and drowsiness to avoid fatal road accidents, are providing a thrust to the market growth. Additionally, the introduction of vehicle tracking software that is set to provide a live update of a vehicle on different locations efficiently and effectively is positively impacting the market growth. Other factors, including the increasing demand for premium vehicles and the implementation of various government initiatives to create awareness and promote road safety, are anticipated to drive the market growth further.
Key Market Segmentation:
IMARC Group provides an analysis of the key trends in each sub-segment of the global automotive artificial intelligence market report, along with forecasts at the global, regional and country level from 2023-2028. Our report has categorized the market based on component, technology, process and application.
Breakup by Component:
Hardware
Software
Services
Breakup by Technology:
Machine Learning and Deep Learning
Computer Vision
Natural Language Processing
Breakup by Process:
Data Mining
Image Recognition
Signal Recognition
Breakup by Application:
Semi-Autonomous
Autonomous
Breakup by Region:
North America
United States
Canada
Asia-Pacific
China
Japan
India
South Korea
Australia
Indonesia
Others
Europe
Germany
France
United Kingdom
Italy
Spain
Russia
Others
Latin America
Brazil
Mexico
Others
Middle East and Africa
Competitive Landscape:
The competitive landscape of the industry has also been examined along with the profiles of the key players being Bayerische Motoren Werke AG, Daimler AG, Ford Motor Company, Hyundai Motor Company, Intel Corporation, International Business Machines Corporation, Micron Technology Inc., Microsoft Corporation, NVIDIA Corporation, Qualcomm Incorporated, Tesla Inc., Toyota Motor Corporation and Uber Technologies Inc.
Key Questions Answered in This Report
1. How big is the global automotive artificial intelligence market?
2. What is the expected growth rate of the global automotive artificial intelligence market during 2023-2028?
3. What are the key factors driving the global automotive artificial intelligence market?
4. What has been the impact of COVID-19 on the global automotive artificial intelligence market?
5. What is the breakup of the global automotive artificial intelligence market based on the component?
6. What is the breakup of the global automotive artificial intelligence market based on the process?
7. What is the breakup of the global automotive artificial intelligence market based on the application?
8. What are the key regions in the global automotive artificial intelligence market?
9. Who are the key players/companies in the global automotive artificial intelligence market?
- 1 Preface
- 2 Scope and Methodology
- 2.1 Objectives of the Study
- 2.2 Stakeholders
- 2.3 Data Sources
- 2.3.1 Primary Sources
- 2.3.2 Secondary Sources
- 2.4 Market Estimation
- 2.4.1 Bottom-Up Approach
- 2.4.2 Top-Down Approach
- 2.5 Forecasting Methodology
- 3 Executive Summary
- 4 Introduction
- 4.1 Overview
- 4.2 Key Industry Trends
- 5 Global Automotive Artificial Intelligence Market
- 5.1 Market Overview
- 5.2 Market Performance
- 5.3 Impact of COVID-19
- 5.4 Market Forecast
- 6 Market Breakup by Component
- 6.1 Hardware
- 6.1.1 Market Trends
- 6.1.2 Market Forecast
- 6.2 Software
- 6.2.1 Market Trends
- 6.2.2 Market Forecast
- 6.3 Services
- 6.3.1 Market Trends
- 6.3.2 Market Forecast
- 7 Market Breakup by Technology
- 7.1 Machine Learning and Deep Learning
- 7.1.1 Market Trends
- 7.1.2 Market Forecast
- 7.2 Computer Vision
- 7.2.1 Market Trends
- 7.2.2 Market Forecast
- 7.3 Natural Language Processing
- 7.3.1 Market Trends
- 7.3.2 Market Forecast
- 8 Market Breakup by Process
- 8.1 Data Mining
- 8.1.1 Market Trends
- 8.1.2 Market Forecast
- 8.2 Image Recognition
- 8.2.1 Market Trends
- 8.2.2 Market Forecast
- 8.3 Signal Recognition
- 8.3.1 Market Trends
- 8.3.2 Market Forecast
- 9 Market Breakup by Application
- 9.1 Semi-Autonomous
- 9.1.1 Market Trends
- 9.1.2 Market Forecast
- 9.2 Autonomous
- 9.2.1 Market Trends
- 9.2.2 Market Forecast
- 10 Market Breakup by Region
- 10.1 North America
- 10.1.1 United States
- 10.1.1.1 Market Trends
- 10.1.1.2 Market Forecast
- 10.1.2 Canada
- 10.1.2.1 Market Trends
- 10.1.2.2 Market Forecast
- 10.2 Asia-Pacific
- 10.2.1 China
- 10.2.1.1 Market Trends
- 10.2.1.2 Market Forecast
- 10.2.2 Japan
- 10.2.2.1 Market Trends
- 10.2.2.2 Market Forecast
- 10.2.3 India
- 10.2.3.1 Market Trends
- 10.2.3.2 Market Forecast
- 10.2.4 South Korea
- 10.2.4.1 Market Trends
- 10.2.4.2 Market Forecast
- 10.2.5 Australia
- 10.2.5.1 Market Trends
- 10.2.5.2 Market Forecast
- 10.2.6 Indonesia
- 10.2.6.1 Market Trends
- 10.2.6.2 Market Forecast
- 10.2.7 Others
- 10.2.7.1 Market Trends
- 10.2.7.2 Market Forecast
- 10.3 Europe
- 10.3.1 Germany
- 10.3.1.1 Market Trends
- 10.3.1.2 Market Forecast
- 10.3.2 France
- 10.3.2.1 Market Trends
- 10.3.2.2 Market Forecast
- 10.3.3 United Kingdom
- 10.3.3.1 Market Trends
- 10.3.3.2 Market Forecast
- 10.3.4 Italy
- 10.3.4.1 Market Trends
- 10.3.4.2 Market Forecast
- 10.3.5 Spain
- 10.3.5.1 Market Trends
- 10.3.5.2 Market Forecast
- 10.3.6 Russia
- 10.3.6.1 Market Trends
- 10.3.6.2 Market Forecast
- 10.3.7 Others
- 10.3.7.1 Market Trends
- 10.3.7.2 Market Forecast
- 10.4 Latin America
- 10.4.1 Brazil
- 10.4.1.1 Market Trends
- 10.4.1.2 Market Forecast
- 10.4.2 Mexico
- 10.4.2.1 Market Trends
- 10.4.2.2 Market Forecast
- 10.4.3 Others
- 10.4.3.1 Market Trends
- 10.4.3.2 Market Forecast
- 10.5 Middle East and Africa
- 10.5.1 Market Trends
- 10.5.2 Market Breakup by Country
- 10.5.3 Market Forecast
- 11 SWOT Analysis
- 11.1 Overview
- 11.2 Strengths
- 11.3 Weaknesses
- 11.4 Opportunities
- 11.5 Threats
- 12 Value Chain Analysis
- 13 Porters Five Forces Analysis
- 13.1 Overview
- 13.2 Bargaining Power of Buyers
- 13.3 Bargaining Power of Suppliers
- 13.4 Degree of Competition
- 13.5 Threat of New Entrants
- 13.6 Threat of Substitutes
- 14 Price Analysis
- 15 Competitive Landscape
- 15.1 Market Structure
- 15.2 Key Players
- 15.3 Profiles of Key Players
- 15.3.1 Bayerische Motoren Werke AG
- 15.3.1.1 Company Overview
- 15.3.1.2 Product Portfolio
- 15.3.1.3 Financials
- 15.3.1.4 SWOT Analysis
- 15.3.2 Daimler AG
- 15.3.2.1 Company Overview
- 15.3.2.2 Product Portfolio
- 15.3.2.3 Financials
- 15.3.2.4 SWOT Analysis
- 15.3.3 Ford Motor Company
- 15.3.3.1 Company Overview
- 15.3.3.2 Product Portfolio
- 15.3.3.3 Financials
- 15.3.3.4 SWOT Analysis
- 15.3.4 Hyundai Motor Company
- 15.3.4.1 Company Overview
- 15.3.4.2 Product Portfolio
- 15.3.4.3 Financials
- 15.3.4.4 SWOT Analysis
- 15.3.5 Intel Corporation
- 15.3.5.1 Company Overview
- 15.3.5.2 Product Portfolio
- 15.3.5.3 Financials
- 15.3.5.4 SWOT Analysis
- 15.3.6 International Business Machines Corporation
- 15.3.6.1 Company Overview
- 15.3.6.2 Product Portfolio
- 15.3.6.3 Financials
- 15.3.6.4 SWOT Analysis
- 15.3.7 Micron Technology Inc.
- 15.3.7.1 Company Overview
- 15.3.7.2 Product Portfolio
- 15.3.7.3 Financials
- 15.3.7.4 SWOT Analysis
- 15.3.8 Microsoft Corporation
- 15.3.8.1 Company Overview
- 15.3.8.2 Product Portfolio
- 15.3.8.3 Financials
- 15.3.8.4 SWOT Analysis
- 15.3.9 NVIDIA Corporation
- 15.3.9.1 Company Overview
- 15.3.9.2 Product Portfolio
- 15.3.9.3 Financials
- 15.3.9.4 SWOT Analysis
- 15.3.10 Qualcomm Incorporated
- 15.3.10.1 Company Overview
- 15.3.10.2 Product Portfolio
- 15.3.10.3 Financials
- 15.3.10.4 SWOT Analysis
- 15.3.11 Tesla Inc.
- 15.3.11.1 Company Overview
- 15.3.11.2 Product Portfolio
- 15.3.11.3 Financials
- 15.3.11.4 SWOT Analysis
- 15.3.12 Toyota Motor Corporation
- 15.3.12.1 Company Overview
- 15.3.12.2 Product Portfolio
- 15.3.12.3 Financials
- 15.3.12.4 SWOT Analysis
- 15.3.13 Uber Technologies Inc.
- 15.3.13.1 Company Overview
- 15.3.13.2 Product Portfolio
- 15.3.13.3 Financials
- 15.3.13.4 SWOT Analysis
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