Automotive Artificial Intelligence Market Size, Growth, Demands Outlook and Forecasts to 2030

According to the research report, the global automotiveartificial intelligence market size is expected to touch USD 19.1 Billion by 2030, from USD 2.9 Billion in 2021, growing with a significant CAGR of 23.3% from 2022 to 2030.

Automotive Artificial Intelligence Market Size 2022 To 2030

The automotive artificial intelligence market report offers a comprehensive study of the current state expected at the major drivers, market strategies, and key vendors’ growth. The report presents energetic visions to conclude and study the market size, market hopes, and competitive surroundings. The research also focuses on the important achievements of the market, research & development, and regional growth of the leading competitors operating in the market. The current trends of the global automotive artificial intelligence market in conjunction with the geographical landscape of this vertical have also been included in this report.

The report offers intricate dynamics about different aspects of the global automotive artificial intelligence market, which aids companies operating in the market in making strategic development decisions. The study also elaborates on significant changes that are highly anticipated to configure growth of the global automotive artificial intelligence market during the forecast period. It also includes a key indicator assessment that highlights growth prospects of this market and estimates statistics related to growth of the market in terms of value (US$ Mn) and volume (tons).

Sample Link https://www.precedenceresearch.com/sample/2165

Report Scope of the Automotive Artificial Intelligence (AI) Market

Report Coverage	Details
Market Size in 2022	USD 3.58 Billion
Market Size by 2030	USD 19.1 Billion
Growth Rate from 2022 to 2030	CAGR of 23.3%
Base Year	2021
Forecast Period	2022 to 2030
Segments Covered	Offering, Technology, Application, Process, Component, and Geography

This study covers a detailed segmentation of the global automotive artificial intelligence market, along with key information and a competition outlook. The report mentions company profiles of players that are currently dominating the global automotive artificial intelligence market, wherein various developments, expansions, and winning strategies practiced and implemented by leading players have been presented in detail.

Key Players

Intel Corporation
Waymo, LLC.
IBM Corporation
Microsoft Corporation
Nvidia Corporation
Xilinx, Inc.
Micron Technology, Inc.
Tesla, Inc.
General Motors Company
Ford Motor Company

Market Segmentation

By Offering

Hardware
Software
Service

By Technology

Computer Vision
Context Awareness
Deep Learning
Machine Learning
Natural Language Processing

By Application

Autonomous Driving
Human–Machine Interface
Semi-autonomous Driving

By Process

Signal Recognition
Image Recognition
Voice Recognition
Data Mining

By Component

Graphics processing unit (GPU)
Field Programmable Gate Array (FPGA)
Microprocessors (Incl. ASIC)
Image Sensors
Memory and Storage systems
Biometric Scanners
Others

By Geography

North America
Europe
Asia-Pacific
Latin America
Middle East & Africa (MEA)

Research Methodology

The research methodology adopted by analysts for compiling the global automotive artificial intelligence market report is based on detailed primary as well as secondary research. With the help of in-depth insights of the market-affiliated information that is obtained and legitimated by market-admissible resources, analysts have offered riveting observations and authentic forecasts for the global market.

During the primary research phase, analysts interviewed market stakeholders, investors, brand managers, vice presidents, and sales and marketing managers. Based on data obtained through interviews of genuine resources, analysts have emphasized the changing scenario of the global market.

For secondary research, analysts scrutinized numerous annual report publications, white papers, market association publications, and company websites to obtain the necessary understanding of the global automotive artificial intelligence market.

TABLE OF CONTENT

Chapter 1. Introduction

1.1. Research Objective

1.2. Scope of the Study

1.3. Definition

Chapter 2. Research Methodology

2.1. Research Approach

2.2. Data Sources

2.3. Assumptions & Limitations

Chapter 3. Executive Summary

3.1. Market Snapshot

Chapter 4. Market Variables and Scope

4.1. Introduction

4.2. Market Classification and Scope

4.3. Industry Value Chain Analysis

4.3.1. Raw Material Procurement Analysis

4.3.2. Sales and Distribution Channel Analysis

4.3.3. Downstream Buyer Analysis

Chapter 5. COVID 19 Impact on Automotive Artificial Intelligence (AI) Market

5.1. COVID-19 Landscape: Automotive Artificial Intelligence (AI) Industry Impact

5.2. COVID 19 - Impact Assessment for the Industry

5.3. COVID 19 Impact: Global Major Government Policy

5.4. Market Trends and Opportunities in the COVID-19 Landscape

Chapter 6. Market Dynamics Analysis and Trends

6.1. Market Dynamics

6.1.1. Market Drivers

6.1.2. Market Restraints

6.1.3. Market Opportunities

6.2. Porter’s Five Forces Analysis

6.2.1. Bargaining power of suppliers

6.2.2. Bargaining power of buyers

6.2.3. Threat of substitute

6.2.4. Threat of new entrants

6.2.5. Degree of competition

Chapter 7. Competitive Landscape

7.1.1. Company Market Share/Positioning Analysis

7.1.2. Key Strategies Adopted by Players

7.1.3. Vendor Landscape

7.1.3.1. List of Suppliers

7.1.3.2. List of Buyers

Chapter 8. Global Automotive Artificial Intelligence (AI) Market, By Offering

8.1. Automotive Artificial Intelligence (AI) Market, by Offering, 2022-2030

8.1.1. Hardware

8.1.1.1. Market Revenue and Forecast (2017-2030)

8.1.2. Software

8.1.2.1. Market Revenue and Forecast (2017-2030)

8.1.3. Service

8.1.3.1. Market Revenue and Forecast (2017-2030)

Chapter 9. Global Automotive Artificial Intelligence (AI) Market, By Technology

9.1. Automotive Artificial Intelligence (AI) Market, by Technology, 2022-2030

9.1.1. Computer Vision

9.1.1.1. Market Revenue and Forecast (2017-2030)

9.1.2. Context Awareness

9.1.2.1. Market Revenue and Forecast (2017-2030)

9.1.3. Deep Learning

9.1.3.1. Market Revenue and Forecast (2017-2030)

9.1.4. Machine Learning

9.1.4.1. Market Revenue and Forecast (2017-2030)

9.1.5. Natural Language Processing

9.1.5.1. Market Revenue and Forecast (2017-2030)

Chapter 10. Global Automotive Artificial Intelligence (AI) Market, By Application

10.1. Automotive Artificial Intelligence (AI) Market, by Application, 2022-2030

10.1.1. Autonomous Driving

10.1.1.1. Market Revenue and Forecast (2017-2030)

10.1.2. Human–Machine Interface

10.1.2.1. Market Revenue and Forecast (2017-2030)

10.1.3. Semi-autonomous Driving

10.1.3.1. Market Revenue and Forecast (2017-2030)

Chapter 11. Global Automotive Artificial Intelligence (AI) Market, By Process

11.1. Automotive Artificial Intelligence (AI) Market, by Process, 2022-2030

11.1.1. Signal Recognition

11.1.1.1. Market Revenue and Forecast (2017-2030)

11.1.2. Image Recognition

11.1.2.1. Market Revenue and Forecast (2017-2030)

11.1.3. Voice Recognition

11.1.3.1. Market Revenue and Forecast (2017-2030)

11.1.4. Data Mining

11.1.4.1. Market Revenue and Forecast (2017-2030)

Chapter 12. Global Automotive Artificial Intelligence (AI) Market, By Component

12.1. Automotive Artificial Intelligence (AI) Market, by Component, 2022-2030

12.1.1. Graphics processing unit (GPU)

12.1.1.1. Market Revenue and Forecast (2017-2030)

12.1.2. Field Programmable Gate Array (FPGA)

12.1.2.1. Market Revenue and Forecast (2017-2030)

12.1.3. Microprocessors (Incl. ASIC)

12.1.3.1. Market Revenue and Forecast (2017-2030)

12.1.4. Image Sensors

12.1.4.1. Market Revenue and Forecast (2017-2030)

12.1.5. Memory and Storage systems

12.1.5.1. Market Revenue and Forecast (2017-2030)

12.1.6. Biometric Scanners

12.1.6.1. Market Revenue and Forecast (2017-2030)

12.1.7. Others

12.1.7.1. Market Revenue and Forecast (2017-2030)

Chapter 13. Global Automotive Artificial Intelligence (AI) Market, Regional Estimates and Trend Forecast

13.1. North America

13.1.1. Market Revenue and Forecast, by Offering (2017-2030)

13.1.2. Market Revenue and Forecast, by Technology (2017-2030)

13.1.3. Market Revenue and Forecast, by Application (2017-2030)

13.1.4. Market Revenue and Forecast, by Process (2017-2030)

13.1.5. Market Revenue and Forecast, by Component (2017-2030)

13.1.6. U.S.

13.1.6.1. Market Revenue and Forecast, by Offering (2017-2030)

13.1.6.2. Market Revenue and Forecast, by Technology (2017-2030)

13.1.6.3. Market Revenue and Forecast, by Application (2017-2030)

13.1.6.4. Market Revenue and Forecast, by Process (2017-2030)

13.1.6.5. Market Revenue and Forecast, by Component (2017-2030)

13.1.7. Rest of North America

13.1.7.1. Market Revenue and Forecast, by Offering (2017-2030)

13.1.7.2. Market Revenue and Forecast, by Technology (2017-2030)

13.1.7.3. Market Revenue and Forecast, by Application (2017-2030)

13.1.7.4. Market Revenue and Forecast, by Process (2017-2030)

13.1.7.5. Market Revenue and Forecast, by Component (2017-2030)

13.2. Europe

13.2.1. Market Revenue and Forecast, by Offering (2017-2030)

13.2.2. Market Revenue and Forecast, by Technology (2017-2030)

13.2.3. Market Revenue and Forecast, by Application (2017-2030)

13.2.4. Market Revenue and Forecast, by Process (2017-2030)

13.2.5. Market Revenue and Forecast, by Component (2017-2030)

13.2.6. UK

13.2.6.1. Market Revenue and Forecast, by Offering (2017-2030)

13.2.6.2. Market Revenue and Forecast, by Technology (2017-2030)

13.2.6.3. Market Revenue and Forecast, by Application (2017-2030)

13.2.7. Market Revenue and Forecast, by Process (2017-2030)

13.2.8. Market Revenue and Forecast, by Component (2017-2030)

13.2.9. Germany

13.2.9.1. Market Revenue and Forecast, by Offering (2017-2030)

13.2.9.2. Market Revenue and Forecast, by Technology (2017-2030)

13.2.9.3. Market Revenue and Forecast, by Application (2017-2030)

13.2.10. Market Revenue and Forecast, by Process (2017-2030)

13.2.11. Market Revenue and Forecast, by Component (2017-2030)

13.2.12. France

13.2.12.1. Market Revenue and Forecast, by Offering (2017-2030)

13.2.12.2. Market Revenue and Forecast, by Technology (2017-2030)

13.2.12.3. Market Revenue and Forecast, by Application (2017-2030)

13.2.12.4. Market Revenue and Forecast, by Process (2017-2030)

13.2.13. Market Revenue and Forecast, by Component (2017-2030)

13.2.14. Rest of Europe

13.2.14.1. Market Revenue and Forecast, by Offering (2017-2030)

13.2.14.2. Market Revenue and Forecast, by Technology (2017-2030)

13.2.14.3. Market Revenue and Forecast, by Application (2017-2030)

13.2.14.4. Market Revenue and Forecast, by Process (2017-2030)

13.2.15. Market Revenue and Forecast, by Component (2017-2030)

13.3. APAC

13.3.1. Market Revenue and Forecast, by Offering (2017-2030)

13.3.2. Market Revenue and Forecast, by Technology (2017-2030)

13.3.3. Market Revenue and Forecast, by Application (2017-2030)

13.3.4. Market Revenue and Forecast, by Process (2017-2030)

13.3.5. Market Revenue and Forecast, by Component (2017-2030)

13.3.6. India

13.3.6.1. Market Revenue and Forecast, by Offering (2017-2030)

13.3.6.2. Market Revenue and Forecast, by Technology (2017-2030)

13.3.6.3. Market Revenue and Forecast, by Application (2017-2030)

13.3.6.4. Market Revenue and Forecast, by Process (2017-2030)

13.3.7. Market Revenue and Forecast, by Component (2017-2030)

13.3.8. China

13.3.8.1. Market Revenue and Forecast, by Offering (2017-2030)

13.3.8.2. Market Revenue and Forecast, by Technology (2017-2030)

13.3.8.3. Market Revenue and Forecast, by Application (2017-2030)

13.3.8.4. Market Revenue and Forecast, by Process (2017-2030)

13.3.9. Market Revenue and Forecast, by Component (2017-2030)

13.3.10. Japan

13.3.10.1. Market Revenue and Forecast, by Offering (2017-2030)

13.3.10.2. Market Revenue and Forecast, by Technology (2017-2030)

13.3.10.3. Market Revenue and Forecast, by Application (2017-2030)

13.3.10.4. Market Revenue and Forecast, by Process (2017-2030)

13.3.10.5. Market Revenue and Forecast, by Component (2017-2030)

13.3.11. Rest of APAC

13.3.11.1. Market Revenue and Forecast, by Offering (2017-2030)

13.3.11.2. Market Revenue and Forecast, by Technology (2017-2030)

13.3.11.3. Market Revenue and Forecast, by Application (2017-2030)

13.3.11.4. Market Revenue and Forecast, by Process (2017-2030)

13.3.11.5. Market Revenue and Forecast, by Component (2017-2030)

13.4. MEA

13.4.1. Market Revenue and Forecast, by Offering (2017-2030)

13.4.2. Market Revenue and Forecast, by Technology (2017-2030)

13.4.3. Market Revenue and Forecast, by Application (2017-2030)

13.4.4. Market Revenue and Forecast, by Process (2017-2030)

13.4.5. Market Revenue and Forecast, by Component (2017-2030)

13.4.6. GCC

13.4.6.1. Market Revenue and Forecast, by Offering (2017-2030)

13.4.6.2. Market Revenue and Forecast, by Technology (2017-2030)

13.4.6.3. Market Revenue and Forecast, by Application (2017-2030)

13.4.6.4. Market Revenue and Forecast, by Process (2017-2030)

13.4.7. Market Revenue and Forecast, by Component (2017-2030)

13.4.8. North Africa

13.4.8.1. Market Revenue and Forecast, by Offering (2017-2030)

13.4.8.2. Market Revenue and Forecast, by Technology (2017-2030)

13.4.8.3. Market Revenue and Forecast, by Application (2017-2030)

13.4.8.4. Market Revenue and Forecast, by Process (2017-2030)

13.4.9. Market Revenue and Forecast, by Component (2017-2030)

13.4.10. South Africa

13.4.10.1. Market Revenue and Forecast, by Offering (2017-2030)

13.4.10.2. Market Revenue and Forecast, by Technology (2017-2030)

13.4.10.3. Market Revenue and Forecast, by Application (2017-2030)

13.4.10.4. Market Revenue and Forecast, by Process (2017-2030)

13.4.10.5. Market Revenue and Forecast, by Component (2017-2030)

13.4.11. Rest of MEA

13.4.11.1. Market Revenue and Forecast, by Offering (2017-2030)

13.4.11.2. Market Revenue and Forecast, by Technology (2017-2030)

13.4.11.3. Market Revenue and Forecast, by Application (2017-2030)

13.4.11.4. Market Revenue and Forecast, by Process (2017-2030)

13.4.11.5. Market Revenue and Forecast, by Component (2017-2030)

13.5. Latin America

13.5.1. Market Revenue and Forecast, by Offering (2017-2030)

13.5.2. Market Revenue and Forecast, by Technology (2017-2030)

13.5.3. Market Revenue and Forecast, by Application (2017-2030)

13.5.4. Market Revenue and Forecast, by Process (2017-2030)

13.5.5. Market Revenue and Forecast, by Component (2017-2030)

13.5.6. Brazil

13.5.6.1. Market Revenue and Forecast, by Offering (2017-2030)

13.5.6.2. Market Revenue and Forecast, by Technology (2017-2030)

13.5.6.3. Market Revenue and Forecast, by Application (2017-2030)

13.5.6.4. Market Revenue and Forecast, by Process (2017-2030)

13.5.7. Market Revenue and Forecast, by Component (2017-2030)

13.5.8. Rest of LATAM

13.5.8.1. Market Revenue and Forecast, by Offering (2017-2030)

13.5.8.2. Market Revenue and Forecast, by Technology (2017-2030)

13.5.8.3. Market Revenue and Forecast, by Application (2017-2030)

13.5.8.4. Market Revenue and Forecast, by Process (2017-2030)

13.5.8.5. Market Revenue and Forecast, by Component (2017-2030)

Chapter 14. Company Profiles

14.1. Intel Corporation

14.1.1. Company Overview

14.1.2. Product Offerings

14.1.3. Financial Performance

14.1.4. Recent Initiatives

14.2. Waymo, LLC.

14.2.1. Company Overview

14.2.2. Product Offerings

14.2.3. Financial Performance

14.2.4. Recent Initiatives

14.3. IBM Corporation

14.3.1. Company Overview

14.3.2. Product Offerings

14.3.3. Financial Performance

14.3.4. Recent Initiatives

14.4. Microsoft Corporation

14.4.1. Company Overview

14.4.2. Product Offerings

14.4.3. Financial Performance

14.4.4. Recent Initiatives

14.5. Nvidia Corporation

14.5.1. Company Overview

14.5.2. Product Offerings

14.5.3. Financial Performance

14.5.4. Recent Initiatives

14.6. Xilinx, Inc.

14.6.1. Company Overview

14.6.2. Product Offerings

14.6.3. Financial Performance

14.6.4. Recent Initiatives

14.7. Micron Technology, Inc.

14.7.1. Company Overview

14.7.2. Product Offerings

14.7.3. Financial Performance

14.7.4. Recent Initiatives

14.8. Tesla, Inc.

14.8.1. Company Overview

14.8.2. Product Offerings

14.8.3. Financial Performance

14.8.4. Recent Initiatives

14.9. General Motors Company

14.9.1. Company Overview

14.9.2. Product Offerings

14.9.3. Financial Performance

14.9.4. Recent Initiatives

14.10. Ford Motor Company

14.10.1. Company Overview

14.10.2. Product Offerings

14.10.3. Financial Performance

14.10.4. Recent Initiatives

Chapter 15. Research Methodology

15.1. Primary Research

15.2. Secondary Research

15.3. Assumptions

Chapter 16. Appendix

16.1. About Us

16.2. Glossary of TermsChapter 1. Introduction