Report Description

Global automotive artificial intelligence market is expected to grow at a steady rate during the forecast period. The global automotive artificial intelligence market is driven by the growing adoption of advanced automotive solutions such as advanced driver assistance system (ADAS), adaptive cruise control (ACC), blind sport alert, among others by different OEMs. Additionally, government regulations to improve the safety in vehicles while assuring environmental sustainability is further expected to propel the market. Furthermore, ongoing technological advancements and new product launches by the major OEMs operating in the market is expected to create lucrative opportunities for the market growth through 2027. However, lack of proper automotive IT infrastructure especially in the emerging countries can hamper the market growth during the forecast period. Besides, high procurement and operational costs further restricts the market growth over the next few years.

The global automotive artificial intelligence market is segmented based on component, technology, process, application, vehicle type, demand category, company and region. Based on technology, the market can be categorized into deep learning, machine learning, context awareness, computer vision, natural language processing and others. The deep learning segment is expected to register the highest CAGR in the market during the forecast period on account of the increasing popularity and adoption of self-driving cars. Additionally, the major players operating in the market are also investing a lot in the development of self-driving cars. While the computer vision segment is also expected to grow significantly on account of its use in autonomous vehicles for signal recognition, image recognition, driver monitoring, among others. Based on process, the market can be fragmented into signal recognition, image recognition and data mining. The data mining segment is expected to dominate the market owing to the large volumes of data being generated and processed in autonomous and semi-autonomous vehicles. Based on application, the market can be grouped into human–machine interface, semi-autonomous driving and autonomous driving. The human-machine interface segment is expected to dominate the market owing to the growing need for providing enhanced customer experience.

Regionally, the automotive artificial intelligence market has been segmented into various regions including Asia-Pacific, North America, South America, Europe, and Middle East & Africa. Among these regions, Asia Pacific is expected to register the highest growth in the overall automotive artificial intelligence market owing to the growing demand for premium vehicle and increased adoption of AI and AI based services and solutions especially among the autonomous and semi-autonomous vehicles in the region.

The major players operating in the automotive artificial intelligence market are NVIDIA Corporation, Alphabet Inc., Intel Corporation, IBM Corporation, Microsoft Corporation, Harman International Industries Inc., Xilinx Inc., Qualcomm Inc.,       Tesla Inc., Volvo Car Corporation and others. Major companies are developing advanced technologies and launching new services in order to stay competitive in the market. Other competitive strategies include mergers & acquisitions and new service developments.

Objective of the Study:

  • To analyze and estimate the market size of global automotive artificial intelligence market from 2017 to 2020.
  • To estimate and forecast the market size of global automotive artificial intelligence market from 2021 to 2027 and growth rate until 2027.
  • To classify and forecast global automotive artificial intelligence market based on component, technology, process, application, vehicle type, demand category, company and regional distribution.
  • To identify dominant region or segment in the global automotive artificial intelligence market.
  • To identify drivers and challenges for global automotive artificial intelligence market.
  • To examine competitive developments such as expansions, new product launches, mergers & acquisitions, etc., in global automotive artificial intelligence market.
  • To identify and analyze the profile of leading players operating in global automotive artificial intelligence market.
  • To identify key sustainable strategies adopted by market players in global automotive artificial intelligence market.


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TechSci Research performed both primary as well as exhaustive secondary research for this study. Initially, TechSci Research sourced a list of service providers across the globe. Subsequently, TechSci Research conducted primary research surveys with the identified companies. While interviewing, the respondents were also enquired about their competitors. Through this technique, TechSci Research could include the service providers which could not be identified due to the limitations of secondary research. TechSci Research analyzed the service providers, distribution channels and presence of all major players across the globe.

TechSci Research calculated the market size of global automotive artificial intelligence market using a bottom-up approach, wherein data for various end-user segments was recorded and forecast for the future years. TechSci Research sourced these values from the industry experts and company representatives and externally validated through analyzing historical data of these product types and applications for getting an appropriate, overall market size. Various secondary sources such as company websites, news articles, press releases, company annual reports, investor presentations and financial reports were also studied by TechSci Research.

Key Target Audience:

  • Automotive artificial intelligence service provider companies
  • Market research and consulting firms
  • Government bodies such as regulating authorities and policy makers
  • Organizations, forums and alliances related to automotive artificial intelligence

The study is useful in providing answers to several critical questions that are important for the industry stakeholders such as service providers, suppliers and partners, end users, etc., besides allowing them in strategizing investments and capitalizing on market opportunities.

Attribute

Details

Base Year

2021

Historical Data

2017 – 2020

Estimated Year

2022

Forecast Period

2023 – 2027

Quantitative Units

Revenue in USD Million and CAGR for 2017-2021 and 2022E-2027F

Report coverage

Revenue forecast, company share, competitive landscape, growth factors, and trends

Segments covered

·         Component

·         Technology

·         Process

·         Application

·         Vehicle Type

·         Demand Category

Regional scope

North America; Europe; Asia Pacific; South America; Middle East & Africa

Country scope

United States, Mexico, Canada, China, India, Japan, South Korea, Australia; Germany, France, United Kingdom, Spain, Italy; South Africa, UAE, Saudi Arabia; Kuwait; Brazil, Argentina, Colombia;

Key companies profiled

NVIDIA Corporation, Alphabet Inc., Intel Corporation, IBM Corporation, Microsoft Corporation, Harman International Industries Inc., Xilinx Inc., Qualcomm Inc., Tesla Inc., Volvo Car Corporation.

Customization scope

10% free report customization with purchase. Addition or alteration to country, regional & segment scope.

Pricing and purchase options

Avail customized purchase options to meet your exact research needs. Explore purchase options

Delivery Format

PDF and Excel through Email (We can also provide the editable version of the report in PPT/Word format on special request)

 Report Scope:

In this report, global automotive artificial intelligence market has been segmented into following categories, in addition to the industry trends which have also been detailed below:

  • Global Automotive Artificial Intelligence Market, By Component:
    • Hardware
    • Software
    • Service
  • Global Automotive Artificial Intelligence Market, By Technology:
    • Deep Learning
    • Machine Learning
    • Context Awareness
    • Computer Vision
    • Natural Language Processing
    • Others
  • Global Automotive Artificial Intelligence Market, By Process:
    • Signal Recognition
    • Image Recognition
    • Data Mining
  • Global Automotive Artificial Intelligence Market, By Application:
    • Human–Machine Interface
    • Semi-Autonomous Driving
    • Autonomous Driving
  • Global Automotive Artificial Intelligence Market, By Vehicle Type:
    • Passenger Cars
    • Commercial Vehicles
  • Global Automotive Artificial Intelligence Market, By Demand Category:
    • OEM
    • Aftermarket
  • Global Automotive Artificial Intelligence Market, By Region:
    • North America
      • United States
      • Canada
      • Mexico
    • Europe
      • Germany
      • France
      • United Kingdom
      • Italy
      • Spain
    • Asia-Pacific
      • China
      • Japan
      • India
      • South Korea
      • Australia
    • Middle East & Africa
      • South Africa
      • Saudi Arabia
      • UAE
      • Kuwait
    • South America
      • Brazil
      • Argentina
      • Colombia

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in global automotive artificial intelligence market.

Available Customizations:

With the given market data, TechSci Research offers customizations according to a company’s specific needs. The following customization options are available for the report:

Company Information

  • Detailed analysis and profiling of additional market players (up to five).

Global automotive artificial intelligence market is an upcoming report to be released soon. If you wish an early delivery of this report or want to confirm the date of release, please contact us at [email protected]  

Table of content

1.    Product Overview

2.    Research Methodology

3.    Impact of COVID-19 on Global Automotive Artificial Intelligence

4.    Executive Summary

5.    Voice of Customer

6.    Global Automotive Artificial Intelligence Market Outlook

6.1.  Market Size & Forecast

6.1.1.     By Value

6.2.  Market Share & Forecast

6.2.1.     By Component (Hardware, Software, Service)

6.2.2.     By Technology (Deep Learning, Machine Learning, Context Awareness, Computer Vision, Natural Language Processing, Others)

6.2.3.     By Process (Signal Recognition, Image Recognition, Data Mining)

6.2.4.     By Application (Human–Machine Interface, Semi-autonomous Driving, Autonomous Driving)

6.2.5.     By Vehicle Type (Passenger Cars v/s Commercial Vehicles)

6.2.6.     By Demand Category (OEM v/s Aftermarket)

6.2.7.     By Company (2021)

6.2.8.     By Region

6.3.  Product Market Map

7.    Asia-Pacific Automotive Artificial Intelligence Market Outlook

7.1.  Market Size & Forecast          

7.1.1.     By Value

7.2.  Market Share & Forecast

7.2.1.     By Component

7.2.2.     By Technology

7.2.3.     By Process

7.2.4.     By Application

7.2.5.     By Vehicle Type

7.2.6.     By Demand Category

7.2.7.     By Country

7.3.  Asia-Pacific: Country Analysis

7.3.1.     China Automotive Artificial Intelligence Market Outlook

7.3.1.1.         Market Size & Forecast

7.3.1.1.1.             By Value

7.3.1.2.         Market Share & Forecast

7.3.1.2.1.             By Component

7.3.1.2.2.             By Technology

7.3.1.2.3.             By Process

7.3.1.2.4.             By Application

7.3.1.2.5.             By Vehicle Type

7.3.1.2.6.             By Demand Category

7.3.2.     India Automotive Artificial Intelligence Market Outlook

7.3.2.1.         Market Size & Forecast

7.3.2.1.1.             By Value

7.3.2.2.         Market Share & Forecast

7.3.2.2.1.             By Component

7.3.2.2.2.             By Technology

7.3.2.2.3.             By Process

7.3.2.2.4.             By Application

7.3.2.2.5.             By Vehicle Type

7.3.2.2.6.             By Demand Category

7.3.3.     Australia Automotive Artificial Intelligence Market Outlook

7.3.3.1.         Market Size & Forecast

7.3.3.1.1.             By Value

7.3.3.2.         Market Share & Forecast

7.3.3.2.1.             By Component

7.3.3.2.2.             By Technology

7.3.3.2.3.             By Process

7.3.3.2.4.             By Application

7.3.3.2.5.             By Vehicle Type

7.3.3.2.6.             By Demand Category

7.3.4.     Japan Automotive Artificial Intelligence Market Outlook

7.3.4.1.         Market Size & Forecast

7.3.4.1.1.             By Value

7.3.4.2.         Market Share & Forecast

7.3.4.2.1.             By Component

7.3.4.2.2.             By Technology

7.3.4.2.3.             By Process

7.3.4.2.4.             By Application

7.3.4.2.5.             By Vehicle Type

7.3.4.2.6.             By Demand Category

7.3.5.     South Korea Automotive Artificial Intelligence Market Outlook

7.3.5.1.         Market Size & Forecast

7.3.5.1.1.             By Value

7.3.5.2.         Market Share & Forecast

7.3.5.2.1.             By Component

7.3.5.2.2.             By Technology

7.3.5.2.3.             By Process

7.3.5.2.4.             By Application

7.3.5.2.5.             By Vehicle Type

7.3.5.2.6.             By Demand Category

8.    Europe Automotive Artificial Intelligence Market Outlook

8.1.  Market Size & Forecast          

8.1.1.     By Value

8.2.  Market Share & Forecast

8.2.1.     By Component

8.2.2.     By Technology

8.2.3.     By Process

8.2.4.     By Application

8.2.5.     By Vehicle Type

8.2.6.     By Demand Category

8.2.7.     By Country

8.3.  Europe: Country Analysis

8.3.1.     France Automotive Artificial Intelligence Market Outlook

8.3.1.1.         Market Size & Forecast

8.3.1.1.1.             By Value

8.3.1.2.         Market Share & Forecast

8.3.1.2.1.             By Component

8.3.1.2.2.             By Technology

8.3.1.2.3.             By Process

8.3.1.2.4.             By Application

8.3.1.2.5.             By Vehicle Type

8.3.1.2.6.             By Demand Category

8.3.2.     Germany Automotive Artificial Intelligence Market Outlook

8.3.2.1.         Market Size & Forecast

8.3.2.1.1.             By Value

8.3.2.2.         Market Share & Forecast

8.3.2.2.1.             By Component

8.3.2.2.2.             By Technology

8.3.2.2.3.             By Process

8.3.2.2.4.             By Application

8.3.2.2.5.             By Vehicle Type

8.3.2.2.6.             By Demand Category

8.3.3.     United Kingdom Automotive Artificial Intelligence Market Outlook

8.3.3.1.         Market Size & Forecast

8.3.3.1.1.             By Value

8.3.3.2.         Market Share & Forecast

8.3.3.2.1.             By Component

8.3.3.2.2.             By Technology

8.3.3.2.3.             By Process

8.3.3.2.4.             By Application

8.3.3.2.5.             By Vehicle Type

8.3.3.2.6.             By Demand Category

8.3.4.     Italy Automotive Artificial Intelligence Market Outlook

8.3.4.1.         Market Size & Forecast

8.3.4.1.1.             By Value

8.3.4.2.         Market Share & Forecast

8.3.4.2.1.             By Component

8.3.4.2.2.             By Technology

8.3.4.2.3.             By Process

8.3.4.2.4.             By Application

8.3.4.2.5.             By Vehicle Type

8.3.4.2.6.             By Demand Category

8.3.5.     Spain Automotive Artificial Intelligence Market Outlook

8.3.5.1.         Market Size & Forecast

8.3.5.1.1.             By Value

8.3.5.2.         Market Share & Forecast

8.3.5.2.1.             By Component

8.3.5.2.2.             By Technology

8.3.5.2.3.             By Process

8.3.5.2.4.             By Application

8.3.5.2.5.             By Vehicle Type

8.3.5.2.6.             By Demand Category

9.    North America Automotive Artificial Intelligence Market Outlook

9.1.  Market Size & Forecast          

9.1.1.     By Value

9.2.  Market Share & Forecast

9.2.1.     By Component

9.2.2.     By Technology

9.2.3.     By Process

9.2.4.     By Application

9.2.5.     By Vehicle Type

9.2.6.     By Demand Category

9.2.7.     By Country

9.3.  North America: Country Analysis

9.3.1.     United States Automotive Artificial Intelligence Market Outlook

9.3.1.1.         Market Size & Forecast

9.3.1.1.1.             By Value

9.3.1.2.         Market Share & Forecast

9.3.1.2.1.             By Component

9.3.1.2.2.             By Technology

9.3.1.2.3.             By Process

9.3.1.2.4.             By Application

9.3.1.2.5.             By Vehicle Type

9.3.1.2.6.             By Demand Category

9.3.2.     Mexico Automotive Artificial Intelligence Market Outlook

9.3.2.1.         Market Size & Forecast

9.3.2.1.1.             By Value

9.3.2.2.         Market Share & Forecast

9.3.2.2.1.             By Component

9.3.2.2.2.             By Technology

9.3.2.2.3.             By Process

9.3.2.2.4.             By Application

9.3.2.2.5.             By Vehicle Type

9.3.2.2.6.             By Demand Category

9.3.3.     Canada Automotive Artificial Intelligence Market Outlook

9.3.3.1.         Market Size & Forecast

9.3.3.1.1.             By Value

9.3.3.2.         Market Share & Forecast

9.3.3.2.1.             By Component

9.3.3.2.2.             By Technology

9.3.3.2.3.             By Process

9.3.3.2.4.             By Application

9.3.3.2.5.             By Vehicle Type

9.3.3.2.6.             By Demand Category

10.  South America Automotive Artificial Intelligence Market Outlook

10.1.              Market Size & Forecast

10.1.1.  By Value

10.2.              Market Share & Forecast

10.2.1.  By Component

10.2.2.  By Technology

10.2.3.  By Process

10.2.4.  By Application

10.2.5.  By Vehicle Type

10.2.6.  By Demand Category

10.2.7.  By Country

10.3.              South America: Country Analysis

10.3.1.  Brazil Automotive Artificial Intelligence Market Outlook

10.3.1.1.      Market Size & Forecast

10.3.1.1.1.           By Value

10.3.1.2.      Market Share & Forecast

10.3.1.2.1.           By Component

10.3.1.2.2.           By Technology

10.3.1.2.3.           By Process

10.3.1.2.4.           By Application

10.3.1.2.5.           By Vehicle Type

10.3.1.2.6.           By Demand Category

10.3.2.  Argentina Automotive Artificial Intelligence Market Outlook

10.3.2.1.      Market Size & Forecast

10.3.2.1.1.           By Value

10.3.2.2.      Market Share & Forecast

10.3.2.2.1.           By Component

10.3.2.2.2.           By Technology

10.3.2.2.3.           By Process

10.3.2.2.4.           By Application

10.3.2.2.5.           By Vehicle Type

10.3.2.2.6.           By Demand Category

10.3.3.  Colombia Automotive Artificial Intelligence Market Outlook

10.3.3.1.      Market Size & Forecast

10.3.3.1.1.           By Value

10.3.3.2.      Market Share & Forecast

10.3.3.2.1.           By Component

10.3.3.2.2.           By Technology

10.3.3.2.3.           By Process

10.3.3.2.4.           By Application

10.3.3.2.5.           By Vehicle Type

10.3.3.2.6.           By Demand Category

11.  Middle East and Africa Automotive Artificial Intelligence Market Outlook

11.1.              Market Size & Forecast

11.1.1.  By Value

11.2.              Market Share & Forecast

11.2.1.  By Component

11.2.2.  By Technology

11.2.3.  By Process

11.2.4.  By Application

11.2.5.  By Vehicle Type

11.2.6.  By Demand Category

11.2.7.  By Country

11.3.              MEA: Country Analysis

11.3.1.  South Africa Automotive Artificial Intelligence Market Outlook

11.3.1.1.      Market Size & Forecast

11.3.1.1.1.           By Value

11.3.1.2.      Market Share & Forecast

11.3.1.2.1.           By Component

11.3.1.2.2.           By Technology

11.3.1.2.3.           By Process

11.3.1.2.4.           By Application

11.3.1.2.5.           By Vehicle Type

11.3.1.2.6.           By Demand Category

11.3.2.  Saudi Arabia Automotive Artificial Intelligence Market Outlook

11.3.2.1.      Market Size & Forecast

11.3.2.1.1.           By Value

11.3.2.2.      Market Share & Forecast

11.3.2.2.1.           By Component

11.3.2.2.2.           By Technology

11.3.2.2.3.           By Process

11.3.2.2.4.           By Application

11.3.2.2.5.           By Vehicle Type

11.3.2.2.6.           By Demand Category

11.3.3.  UAE Automotive Artificial Intelligence Market Outlook

11.3.3.1.      Market Size & Forecast

11.3.3.1.1.           By Value

11.3.3.2.      Market Share & Forecast

11.3.3.2.1.           By Component

11.3.3.2.2.           By Technology

11.3.3.2.3.           By Process

11.3.3.2.4.           By Application

11.3.3.2.5.           By Vehicle Type

11.3.3.2.6.           By Demand Category

11.3.4.  Kuwait Automotive Artificial Intelligence Market Outlook

11.3.4.1.      Market Size & Forecast

11.3.4.1.1.           By Value

11.3.4.2.      Market Share & Forecast

11.3.4.2.1.           By Component

11.3.4.2.2.           By Technology

11.3.4.2.3.           By Process

11.3.4.2.4.           By Application

11.3.4.2.5.           By Vehicle Type

11.3.4.2.6.           By Demand Category

12.  Market Dynamics

12.1.              Drivers

12.2.              Challenges

13.  Market Trends & Developments

14.  Competitive Landscape

14.1.              NVIDIA Corporation

14.2.              Alphabet Inc.

14.3.              Intel Corporation

14.4.              IBM Corporation

14.5.              Microsoft Corporation

14.6.              Harman International Industries Inc.

14.7.              Xilinx Inc.

14.8.              Qualcomm Inc.

14.9.              Tesla Inc.

14.10.            Volvo Car Corporation

15.  Strategic Recommendations

Figures and Tables

Frequently asked questions

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Increasing adoption of autonomous and semi-autonomous vehicles is expected to drive the growth of global automotive artificial intelligence market during the forecast period.

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The global automotive artificial intelligence market is segmented based on component, technology, process, application, vehicle type, demand category, company and region.

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Based on technology, the deep learning segment is expected to hold the largest share in global automotive artificial intelligence market during forecast period

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The major players operating in the automotive artificial intelligence market are NVIDIA Corporation, Alphabet Inc., Intel Corporation, IBM Corporation, Microsoft Corporation, Harman International Industries Inc., Xilinx Inc., Qualcomm Inc., Tesla Inc., Volvo Car Corporation and others

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