[203 Pages Report] The automotive artificial intelligence market is expected to be valued at USD 565.2 Million in 2016 and is expected to reach USD 10,573.3 Million by 2025, at a CAGR of 38.46% during the forecast period. The base year considered for the study is 2016, and the forecast of the market size has been provided for the period between 2017 and 2025.

Objective of the Study:

To define and describe the automotive AI market on the basis of offering, technology, process, application, and geography

To forecast the market size of the various segments with respect to 4 main geographies: North America, Europe, APAC, and Rest of the World

To provide detailed information regarding the major factors influencing the growth of the market (drivers, restraints, opportunities, and industry-specific challenges)

To strategically analyze micromarkets1 with respect to individual growth trends, prospects, and contributions to the total market

To strategically profile key players and comprehensively analyze their market shares and core competencies,2 along with detailing the competitive landscape for market leaders

To analyze competitive developments such as joint ventures, collaborations, agreements, contracts, partnerships, mergers & acquisitions, new product developments, and research & developments in the automotive AI market

To benchmark players within the market using the Competitive Leadership mapping, which analyzes market players on various parameters within the broad categories of business and product strategy.

Research Methodology:

This study incorporates the extensive usage of secondary sources, directories, and databases such as Hoovers, Bloomberg BusinessWeek, Factiva, and OneSource, to identify and collect information useful for this technical, market-oriented, and commercial study of the automotive AI market. The primary sources mainly comprise several industry experts from core and related industries, along with preferred suppliers, manufacturers, distributors, service providers, reimbursement providers, technology developers, alliances, standards, and certification organizations related to all the phases of this industry�s value chain. Both top-down and bottom-up approaches have been used to estimate and validate the size of the automotive AI market and to estimate the size of the other dependent sub-markets. After arriving at the overall market size, the total market has been split into several segments and sub-segments, which have been verified through primary research by conducting extensive interviews with key people such as CEOs, VPs, directors, and executives. The market breakdown and data triangulation procedures have been employed to complete the overall market engineering process and arrive at the exact statistics for all segments and subsegments. The breakdown of profiles of primary respondents has been depicted in the figure below:

To know about the assumptions considered for the study, download the pdf brochure

Scope of the Report:

Report Metric Details Base year 2016 Forecast period 2017�2025 Units Value (USD) Segments covered Type, End User, Offerings, and Region Geographic regions covered North America, APAC, Europe, and RoW Companies covered NVIDIA Corporation (US), Alphabet Inc. (US), Intel Corporation (US), IBM Corporation (US), Microsoft Corporation (US), Harman International Industries Inc. (US), Xilinx Inc. (US), Qualcomm Inc. (US), Tesla Inc. (US), Volvo Car Corporation (Sweden), BMW AG (Germany), Audi AG (Germany), General Motors Company (US), Ford Motor Company (US), Toyota Motor Corporation (Japan), Hyundai Motor Corporation (South Korea), Uber Technologies Inc. (US), Honda Motor Co. Ltd. (Japan), Daimler AG (Germany), and Didi Chuxing (China). Some important start-ups of the automotive AI market have also been included: AImotive (Hungary), Nauto Inc. (US), nuTonomy (US), Argo AI (US), and drive.ai (US).

Key Target Audience:

Semiconductor companies

Technology providers

Universities and research organizations

System integrators

AI solution providers

AI platform providers

Cloud service providers

Technology providers

AI system providers

Universities and research organizations

Investors and venture capitalists

Scope of the Report:

The research report segments the automotive AI market into the following subsegments.

By Offering:

Hardware

Software

By Technology:

Deep Learning

Machine Learning

Context Awareness

Computer Vision

Natural Language Processing

By Process:

Signal Recognition

Image Recognition

Data Mining

By Application:

Human�Machine Interface

Semi-autonomous Driving

Autonomous Driving

By Region:

North America

Europe

APAC

RoW

Available Customizations:

Analysis of the industries in the automotive AI market in different geographical regions. Customization can be provided on country-wise analysis of the automotive AI market with respect to industries.

Detailed analysis and profiling of additional market players (up to 5)

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According to MarketsandMarkets, the automotive artificial intelligence (AI) market is expected to be valued at USD 782.9 Million in 2017 and is expected to reach USD 10,573.3 Million by 2025, at a CAGR of 38.46% between 2017 and 2025. The increasing government regulations for vehicle safety, growing adoption of ADAS technology by OEMs, and rising demand for enhanced user experience play a significant role in the growth of the automotive AI market.

The automotive AI market, in this report, has been segmented on the basis of offering, technology, process, application, and region. On the basis of offering, the automotive AI market is segmented into hardware and software. Companies such as Alphabet Inc. (US), Microsoft Corporation (US), IBM Corporation (US), and Intel Corporation (US) are among the frontrunners in the development of AI software for the automotive industry.

On the basis of technology, the market is segmented into deep learning, machine learning, context awareness, computer vision, and natural language processing. Deep learning technology is expected to be the largest and the fastest-growing technology. Many companies are investing in the development of self-driving cars in which the deep learning technology is used for image processing, speech recognition, and data analysis. For instance, Google is heavily investing in autonomous vehicles through its spin-off Waymo and has an active system integrated into its self-driving vehicle with the deep learning technology to detect pedestrians in different situations.

The automotive artificial intelligence market, on the basis of process, is segmented into signal recognition, image recognition, and data mining. Data is collected from different sensors used in a semi-autonomous or autonomous vehicle, which can be used to train the vehicle to detect or recognize images, obstacles, and various scenarios one might encounter behind the wheel. Due to the huge volumes of data generated and processed in a vehicle, data mining is expected to be the fastest-growing process in the automotive AI market.

automotive artificial intelligence market is segmented by application into human machine interface, semi-autonomous driving, and autonomous driving. Automotive HMI has evolved drastically in last few years and implemented disruptive technologies in various products such as voice recognition system and gesture recognition system. This is a growing market where the innovative AI technology is being used in upcoming models in premium segments.

The automotive AI market in APAC is expected to grow at a high rate between 2017 and 2025. APAC�s massive population, fast-growing economies, and rising living standards are well positioned to ride the AI wave. This region houses established automakers such as Toyota (Japan), Hyundai Motor Company (South Korea), and Honda Motor Company (Japan). Other countries in APAC, such as South Korea and Japan, have strong technological capabilities. The region, therefore, represents a balanced blend of demand and technology, making it an ideal investment for any OEM.

Most of the artificial intelligence applications are complex in nature and consequently very expensive. There is also a threat to the cybersecurity of a vehicle which has AI. These factors are restricting the growth of the automotive AI market, especially in APAC as it comprises cost-driven markets such as China and India. The companies covered in the automotive AI market are NVIDIA Corporation (US), Alphabet Inc. (US), Intel Corporation (US), IBM Corporation (US), Microsoft Corporation (US), Harman International Industries Inc. (US), Xilinx Inc. (US), Qualcomm Inc. (US), Tesla Inc. (US), Volvo Car Corporation (Sweden), BMW AG (Germany), Audi AG (Germany), General Motors Company (US), Ford Motor Company (US), Toyota Motor Corporation (Japan), Hyundai Motor Corporation (South Korea), Uber Technologies Inc. (US), Honda Motor Co. Ltd. (Japan), Daimler AG (Germany), and Didi Chuxing (China). Some important start-ups of the automotive AI market have also been included: AImotive (Hungary), Nauto Inc. (US), nuTonomy (US), Argo AI (US), and drive.ai (US).

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