The Automotive Artificial Intelligence Market

Artificial intelligence (AI) is one of the highly progressive technologies in computer science. It is related to human intelligence through same characteristics such as language understanding, problem-solving, learning, reasoning and others. Moreover, the emergence of standards such as advanced driver assistance system (ADAS), adaptive cruise control (ACC), blind spot alert and increase in demand for convenience features allure automotive vendors towards AI. Artificial intelligence (AI) systems are used to process, modify and function, data and algorithms to copy the intellectual functions of the human mind and attain the ability to absorb and resolve problems automatically. With the emergence of artificial intelligence in automobiles, the vehicles are equipped with several features which accompany a vehicle enabled with AI such as identifying and recognizing driver behavior and controlling the movement of vehicle accordingly. Besides, several other functions are performed such as identification of any danger and alarm the driver along with taking control of the vehicle in some cases to prevent accidents. AI technology exist in automobiles perform sensing comprising mapping which assist in securing AI powered vehicles from any danger. There is an increasing demand for self-driving vehicles from among the majority of the population across the world which is linked with assumptions of personalized experiences for the driver as well as the passengers in vehicles unlike the conventional modes prevalent earlier. Furthermore, there are a number of functions which automotive AI perform, few of them being enabling driverless cars and trucks on roads, identification of any object, customer service during on-road journey, recognition in the form of gestures and various other functions, all of which are projected to propel the demand for AI in automotive, thereby projected to contribute to the growth of the market over the forecast period. However, the threat of hackers and the increase in cybercrime will likely to hamper the market growth.

Additionally, with the increase in disposable incomes of the global population, various number of premium vehicles equipped with advanced technology have set foot in the global market and there is a major demand from the technically skilled working population for luxury and tech savvy products. With the help of AI, manufacturers have been able to design new products which are being preferred by customers for their use. 

The global Automotive Artificial Intelligence Market is segregated on the basis of Component as Hardware, Software and Service. Based on Technology the global Automotive Artificial Intelligence Market is segmented in Machine Learning & Deep Learning, Computer Vision and Natural Language Processing. Based on Application the global Automotive Artificial Intelligence Market is segmented in Semi-Autonomous and Autonomous.

The global Automotive Artificial Intelligence Market report provides geographic analysis covering regions, such as Europe, North America, Asia Pacific, and Rest of The World. The Automotive Artificial Intelligence Market for each region is further segmented for major countries including the U.S., Canada, Germany, the U.K., France, Italy, China, India, Japan, Brazil, South Africa, and others.

Competitive Analysis

Alphabet Inc., Audi AG, BMW AG, Daimler AG, Didi Chuxing, Ford Motor Company and others are among the major players in the global Automotive Artificial Intelligence Market. The companies studied in terms of product strategy and various n several growth and expansion strategies to gain a competitive edge in the market. The major players not only follow value chain integration with business operations in multiple stages of the value chain.

• In Dec 2019, Tesla partnered with Nvidia to enhance its AI-integrated semiconductors. Some of the Nvidia’s brilliant minds colluded with Tesla to develop AI chips intelligent enough to power cars with full self-driving ability. These chips will make sure that cars not only travel on motorways, but also in local streets and traffic signals.
• In December 2019, IBM today launched revolutionary new IBM Watson capabilities aimed to assist organizations in increasing their usage of AI. The new abilities, developed by IBM Research, are aimed to increase AI automation, offer higher precision in natural language processing and create higher trust in outcomes produced from AI forecasts.
• In July 2019, The Volvo Group and NVIDIA have decided to collaborate on the decision-making system for autonomous commercial vehicles and machines. The resulting system is designed to safely manage fully autonomous driving on public roads and highways by using NVIDIA’s end-to-end artificial intelligence platform for simulation, training and in-vehicle computing.

The global Automotive Artificial Intelligence Market has been segmented as below:

Automotive Artificial Intelligence Market, By Component

• Hardware
• Software
• Service

Automotive Artificial Intelligence Market, By Technology

• Machine Learning & Deep Learning
• Computer Vision
• Natural Language Processing

Automotive Artificial Intelligence Market, By Application

• Semi-Autonomous
• Autonomous

Automotive Artificial Intelligence Market, By Region

• Europe
• North America
• Asia Pacific
• Rest of The World

Automotive Artificial Intelligence Market, By Company

• Alphabet Inc.
• Audi AG
• BMW AG
• Daimler AG
• Didi Chuxing
• Ford Motor Company
• General Motors Company
• Harman International Industries, Inc.
• Honda Motor Co., Ltd.
• IBM Corporation
• Intel Corporation
• Microsoft Corporation
• NVIDIA Corporation
• Qualcomm Inc.
• Tesla, Inc.
• Toyota Motor Corporation
• Uber Technologies, Inc.
• Volvo Car Corporation
• Xilinx Inc.

The report covers the below scope:

• Global Automotive Artificial Intelligence Market sizes from 2020 to 2026, along with CAGR for 2020-2026
• Market size comparison for 2019 vs 2026, with actual data for 2019, estimates for 2019 and forecast from 2020 to 2026
• Global Automotive Artificial Intelligence Market trends, covering comprehensive range of consumer trends & manufacturer trends
• Value chain analysis covering participants from raw material suppliers to the downstream buyer in the global Automotive Artificial Intelligence Market
• Major market opportunities and challenges in forecast timeframe to be focused
• Competitive landscape with analysis on competition pattern, portfolio comparisons, development trends and strategic management
• Comprehensive company profiles of the key industry players

The years considered for the study are as follows:

• Base year - 2019
• Estimated year - 2019
• Projected year - 2020
• Forecast period - 2021 to 2026

Report Scope:

The global Automotive Artificial Intelligence Market report scope includes detailed study covering underlying factors influencing the industry trends. The report covers analysis on regional and country level market dynamics. The scope also covers competitive overview providing company market shares along with company profiles for major revenue contributing companies. The report scope includes detailed competitive outlook covering market shares and profiles key participants in the global Automotive Artificial Intelligence Market share. Major industry players with significant revenue share include Alphabet Inc., Audi AG, BMW AG, Daimler AG, Didi Chuxing, Ford Motor Company and others.

Why to Buy this Report:

• Gain detailed insights on the Automotive Artificial Intelligence industry trends
• Find complete analysis on the market status
• Identify the Automotive Artificial Intelligence Market opportunities and growth segments
• Analyse competitive dynamics by evaluating business segments & product portfolios
• Facilitate strategy planning and industry dynamics to enhance decision making

Target Audience:

• The report targeted towards the existing players in the industry is as follows:
• Market Manufacturers/Service Providers
• Market Wholesale/Traders
• Investment and Financial Institutions

Free and Paid Customization based on the requirement

1.      Introduction

1.1.       Key Points

1.2.      Report Description

1.3.      Markets Covered

1.4.      Stakeholders

2.     Research Methodology

2.1.      Research Scope

2.2.     Research Methodology

2.2.1.     Market Research Process

2.2.2.    Research Methodology

2.2.2.1.           Secondary Research

2.2.2.2.          Primary Research

2.2.2.3.          Models for Estimation

2.3.     Market Size Estimation

2.3.1.     Bottom-Up Approach

2.3.2.    Top-Down Approach

3.     Executive Summary

4.    Market Overview

4.1.      Introduction

4.2.     Drivers

4.3.     Restraints

4.4.     Opportunities

4.5.     Challenges

5.     Automotive Artificial Intelligence Market, By Component

5.1.      Key Points

5.2.  Hardware

5.3.  Software

5.4.  Service

6.    Automotive Artificial Intelligence Market, By Technology

6.1.      Key Points

6.2. Machine Learning & Deep Learning

6.3. Computer Vision

6.4. Natural Language Processing

7.     Automotive Artificial Intelligence Market, By Application

7.1.      Key Points

7.2.  Semi-Autonomous

7.3.  Autonomous

8.    Competitive Landscape

8.1.      Introduction

8.2.     Start-up companies- Automotive Artificial Intelligence Market

8.3.     Recent Developments

8.3.1.     Mergers & Acquisitions

8.3.2.    New Product Developments

8.3.3.    Portfolio/Production Capacity Expansions

8.3.4.    Joint Ventures, Collaborations, Partnerships & Agreements

8.3.5.    Others

9.    Company Profile

9.1.  Alphabet Inc.

9.2. Audi AG

9.3. BMW AG

9.4. Daimler AG

9.5.  Didi Chuxing

9.6. Ford Motor Company

9.7.  General Motors Company

9.8. Harman International Industries, Inc.

9.9. Honda Motor Co., Ltd.

9.10.                   IBM Corporation

9.11.                     Intel Corporation

9.12.                   Microsoft Corporation

9.13.                    NVIDIA Corporation

9.14.                   Qualcomm Inc.

9.15.                    Tesla, Inc.

9.16.                   Toyota Motor Corporation

9.17.                    Uber Technologies, Inc.

9.18.                   Volvo Car Corporation

9.19.                   Xilinx Inc.