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Automotive Artificial Intelligence Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2023-2028

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    Report

  • 146 Pages
  • September 2023
  • Region: Global
  • IMARC Group
  • ID: 5642354
The global automotive artificial intelligence market size reached US$ 3.0 Billion in 2022. Looking forward, the publisher 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:

The publisher 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. The 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?

Table of Contents

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

Companies Mentioned

  • 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
  • Uber Technologies Inc.

Methodology

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Table Information