Automotive Artificial Intelligence Market Size to Worth US$ 19.1 Billion by 2030

According to the new research report published by Precedence Research, titled “Automotive Artificial Intelligence Market (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) – Global Industry Analysis, Size, Share, Growth, Trends, Regional Outlook, and Forecast 2022-2030”, the global automotive artificial intelligence market size is expected to be worth around US$ 2.9  billion by 2030 and is poised to record a yearly growth rate of 23.3% from 2022 to 2030. The study investigates several elements and their consequences on the growth of the all-wheel drive market.

This report focuses on automotive artificial intelligence market volume and value at the global level, regional level and company level. From a global perspective, this report represents the overall automotive artificial intelligence market size by analyzing historical data and future prospects. Regionally, this report focuses on several key regions: North America, Europe, the Middle East & Africa, Latin America, etc.

Automotive Artificial Intelligence Market Size 2022 To 2030

 The research report includes specific segments by region (country), by company, by all segments. This study provides information about the growth and revenue during the historic and forecasted period of 2017 to 2030. Understanding the segments helps in identifying the importance of different factors that aid the market growth.

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The study also provides important advancements in organic and inorganic growth strategies in the worldwide automotive artificial intelligence market. A lot of corporations are prioritizing new launches, product approvals, and other business expansion techniques. In addition, the report offers profiles of automotive artificial intelligence market firms and market strategies. Furthermore, the research focuses on top industry participants, providing information such as company profiles, components and services offered, recent financial data, and key developments.

Market Scope

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

Market Key Players

Company profiles have been included in the report, which include essentials such as product portfolio, key strategies, along with all-inclusive SWOT analysis on each player. Company presence is mapped and presented through a matrix for all the prominent players, thus providing readers with actionable insights, which helps in thoughtfully presenting market status and predicting the competition level in the automotive artificial intelligence market.

Some of the prominent players in the automotive artificial intelligence market include:

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

Market Segmentations 

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)

Report Objectives 

  • To define, segment, and project the global market size for automotive artificial intelligence market
  • To understand the structure of the market by identifying its various sub-segments
  • To provide detailed information about the key factors influencing the growth of the market (drivers, restraints, opportunities, and industry-specific challenges)
  • To analyze the micro-markets, with respect to individual growth trends, future prospects, and their contributions to the total market
  • To project the size of the market and its submarkets, in terms of value, with respect to global. (along with their respective key countries)
  • To profile key players and comprehensively analyze their core competencies
  • To understand the competitive landscape and identify major growth strategies adopted by players across the globe.
  • To analyze the competitive developments such as expansions & investments, new product launches, mergers & acquisitions, joint ventures, and agreements 

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 Terms

Why should you invest in this report?

If you are aiming to enter the global automotive artificial intelligence market, this report is a comprehensive guide that provides crystal clear insights into this niche market. All the major application areas for automotive artificial intelligence are covered in this report and information is given on the important regions of the world where this market is likely to boom during the forecast period of 2022-2030 so that you can plan your strategies to enter this market accordingly.

Besides, through this report, you can have a complete grasp of the level of competition you will be facing in this hugely competitive market and if you are an established player in this market already, this report will help you gauge the strategies that your competitors have adopted to stay as market leaders in this market. For new entrants to this market, the voluminous data provided in this report is invaluable.

Contact Us:

Mr. Alex

Sales Manager

Call: +1 9197 992 333

Emailsales@precedenceresearch.com

Web: https://www.precedenceresearch.com


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Prathamesh

I have completed my education in Bachelors in Computer Application. A focused learner having a keen interest in the field of digital marketing, SEO, SMM, and Google Analytics enthusiastic to learn new things along with building leadership skills.

Prathamesh

I have completed my education in Bachelors in Computer Application. A focused learner having a keen interest in the field of digital marketing, SEO, SMM, and Google Analytics enthusiastic to learn new things along with building leadership skills.

View all posts by Prathamesh →

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