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Automotive Artificial Intelligence Market Size, Share & Industry Trends Analysis Report by Application, Process, Technology, Offering, Component, Regional Outlook and Forecast, 2022-2028

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    Report

  • 394 Pages
  • September 2022
  • Region: Global
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 5673503
The Global Automotive Artificial Intelligence Market size is expected to reach $7.5 billion by 2028, rising at a market growth of 21.5% CAGR during the forecast period.



The automotive sector has reaped the benefits of artificial intelligence and is among the primary industries employing AI to augment and imitate human actions. In addition, the advent of standards like adaptive cruise control (ACC), advanced driver assistance system (ADAS), and blind spot alert, as well as the increase in demand for comfort features, entice automotive providers to AI.

Autonomous cars are distinguished according to their degree of autonomy. Level 5 cars are completely autonomous, requiring no human involvement for safe operation. Nowadays, the significant proportion of autonomous vehicles on the road, like the Cadillac CT6 and Audi A8, belong to levels 2 and 3, are capable of performing at least two duties concurrently, and need a human driver to operate safely.

COVID-19 Impact Analysis

To mitigate the effects of the COVID-19 pandemic, governments throughout the world were compelled to institute strict lockdowns and demand social isolation. As a result, the demand for new automobiles declined significantly. In addition, the availability of raw materials decreased, production slowed, and worldwide supply networks were disrupted. The automobile industry's losses have impeded the implementation of cutting-edge cybersecurity technologies. However, it is projected that the use of automotive artificial intelligence would expand over time owing to the growing demand for connected vehicles and the ongoing global vaccination campaign.

Market Growth Factors:

Growing need for customer experience and efficiency of automobiles

Human-machine interface (HMI) solutions for the automobile sector are now easier to handle and manage, hence boosting the user experience. A user may operate applications such as music systems, car lighting, and infotainment systems with such technologies. Due to the rising demand for better customer experience and additional features, the percentage of a vehicle's cost devoted to its electronics system has climbed from 1-2% to 8-12%.

Significant likelihood of in-car payments

Among the most recent innovations, in-car payments are intended to change the ways in which consumers pay for parking or tolls, refuel, and potentially even go grocery shopping. Open Banking, which allows consumers to pay immediately from their bank and eliminates friction and security concerns associated with their payment trip, might be utilized to develop in-car wallets as well as payment systems. By simplifying transaction fees and enhancing the entire user experience, third-party payment networks might be eliminated.

Marketing Restraining Factor:

Surge in the overall cost of vehicle

Autonomous cars are projected to be expensive due mostly to the commercialization of new technology systems. The majority of innovative technology are included into luxury and premium automobiles, which have a restricted client base due to their high price. Therefore, a high car price is likely to inhibit market expansion. In comparison to semi-autonomous cars, the demand for costly autonomous vehicles is predicted to be mild.



Application Outlook

On the basis of application, the automotive artificial intelligence market is divided into Human-Machine Interface, Autonomous & Semi-autonomous Driving, Identity Authentication, Driver Monitoring and Autonomous Driving Processor Chips. Identity Authentication segment recorded a significant revenue share in the automotive artificial intelligence market in 2021. Authentication is the procedure of confirming the identity of a known user in order to grant access to an account, location or device. In addition, authentication of identity is employed when a person's authenticity must be demonstrated. In this situation, previous personal information provided is compared.

Process Outlook

Based on Process, the automotive artificial intelligence market is classified into Signal Recognition, Image Recognition and Data Mining. Signal Recognition segment garnered the maximum revenue share in the automotive artificial intelligence market in 2021. Signal recognition is a technique for producing outcomes using spoken, visual patterns, and sound. The signals often relate to the speech or sound produced by a machine or a person, which may be identified by natural language processing (NLP) devices and used to provide a result. Signals are the unprocessed data that AI systems must be able to analyze in order to generate, comprehend, and make intelligent judgments.

Technology Outlook

By technology, the automotive artificial intelligence market is segmented into Deep Learning, Machine Learning & Computer Vision, Context- aware Computing, and Natural Language Processing. Machine Learning & Computer Vision segment recorded a significant revenue share in the automotive artificial intelligence market in 2021. Machine learning enables automobiles to assess and learn from various driving scenarios, therefore reducing accidents and making them safer and more fuel-efficient. It can generate precise models that could direct future activities and instantly uncover trends at a scale that was not before possible.

Offering Outlook

On the basis of offering, the automotive artificial intelligence market is bifurcated into Hardware and Software. The software segment procured the maximum revenue share in the automotive artificial intelligence market in 2021. This is due to the numerous advancements in AI software and software development kits. To actualize automotive applications, AI systems require several forms of software, including application programme interfaces for language, audio, vision, and sensor data, as well as machine learning techniques.

Component Outlook

By component, the automotive artificial intelligence market is fragmented into Graphics processing unit (GPU), Microprocessors (Incl. ASIC), Field Programmable Gate Array (FPGA), Memory & Storage systems, Image Sensors, Biometric Scanners and Others. Graphics processing unit (GPU) segment acquired the maximum revenue share in the automotive artificial intelligence market in 2021. GPUs are gaining importance in the fast-emerging disciplines of autonomous driving and advanced driver assistance systems (ADAS). For real-time processing and analysis of sensor data, ADAS platforms can utilize the GPU's graphical compute power.

Regional Outlook

Region-wise, the automotive artificial intelligence market is analyzed across North America, Europe, Asia Pacific and LAMEA. North America emerged as the leading region in the automotive artificial intelligence market with the highest revenue share in 2021. The quick growth of autonomous vehicle technology and the stringent government laws governing road safety are projected to promote moderate growth in artificial intelligence in the automotive industry in this region.

Cardinal Matrix-Automotive Artificial Intelligence Market Competition Analysis



The major strategies followed by the market participants are Acquisitions. Based on the Analysis presented in the Cardinal matrix; Microsoft Corporation and Google LLC (Alphabet, Inc.) are the forerunners in the Automotive Artificial Intelligence Market. Companies such as Harman International Industries, Inc., Intel Corporation, Qualcomm Inc. are some of the key innovators in Automotive Artificial Intelligence Market.

The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Microsoft Corporation, IBM Corporation, Google LLC (Alphabet, Inc.), Intel Corporation, Qualcomm Inc., Nvidia Corporation, Harman International Industries, Inc. (Samsung Electronics Co., Ltd.), Hyundai Motor Company, Mitsubishi Electric Corporation and Tesla, Inc.

Strategies deployed in Automotive Artificial Intelligence Market

Partnerships, Collaborations and Agreements:

  • Sep-2022: Qualcomm Technologies joined hands with Mercedes-Benz, a German luxury and commercial vehicle automotive brand. This collaboration aimed to use Snapdragon Digital Chassis solutions to bring new and most digitally advanced capabilities to upcoming Mercedes-Benz vehicles.
  • Jul-2022: HARMAN International joined hands with the ARD Audiothek app. Under this collaboration, the ARD Audiothek app would be accessible in the HARMAN Ignite Store, which is a connected vehicle platform that allows automakers to design, maintain, and operate their own in-vehicle app store.
  • Jul-2020: Microsoft China came into a partnership with Human Horizons, a maker of electric cars under the HiPhi brand, and develops autonomous driving technology. This partnership aimed to develop an on-board AI assistant, HiPhiGo, for Human Horizons’ premium smart all-electric vehicles, HiPhi.

Product Launches and Product Expansions:

  • Feb-2022: Qualcomm Technologies launched new and improved solutions to its significantly expanding automotive technology portfolio. By improving its Snapdragon Digital Chassis connected vehicle platforms, Qualcomm Technologies released a feature for Snapdragon Car-to-Cloud Services, Connectivity-as-a-Service. This advancement would offer a transformative, scalable, comprehensive portfolio of solutions via the Snapdragon Digital Chassis.
  • Jan-2022: Qualcomm Technologies launched a new addition to the Snapdragon Ride Platform portfolio, with the Snapdragon Ride Vision System. This system is an open, scalable, and modular computer vision software stack developed on a four-nanometer (4nm) process technology system-on-chip (SoC) built for an optimized deployment of front and surround cameras for advanced driver assistance systems (ADAS) and automated driving (AD).
  • Aug-2021: Tesla released a custom chip for training artificial intelligence networks in data centers. This D1 chip is a part of Tesla’s Dojo supercomputer system, which utilizes a 7-nanometer manufacturing procedure, with 362 teraflops of processing power. The chips would assist train models in identifying a range of items from video feeds gathered by cameras inside Tesla vehicles.
  • Apr-2021: NVIDIA unveiled NVIDIA DRIVE Atlan, its next-generation AI-enabled processor for autonomous vehicles. This solution would help in delivering more than 1,000 trillion operations per second (TOPS) and target automakers’ 2025 models. DRIVE Atlan would comprise NVIDIA’s next-generation GPU architecture, and new Arm CPU cores, along with its deep learning and computer vision accelerators.
  • Jan-2021: Hyundai Motor Group introduced the ‘DAL-e’, a highly advanced customer service robot. This robot is capable of independently communicating with people by utilizing precise recognition capabilities and mobility functions. This robot is equipped with state-of-the-art AI technology for facial recognition and an automatic communication system based on a language-comprehension platform.

Acquisitions and Mergers:

  • Sep-2022: HARMAN International acquired CAARESYS, an Israel-based company. This acquisition aimed to enable HARMAN to become the market leader in-cabin radar sensing technology and radar-enabled features, which would rapidly combine into the products.
  • Jul-2022: IBM took over Databand, a startup developing an observability platform. This acquisition aimed to deliver the customers and partners with the technology they require to offer trustworthy data and AI at scale.
  • Apr-2022: Qualcomm Incorporated took over Arriver from SSW Partners. This acquisition aimed to improve Qualcomm Technologies' capability to provide open, fully integrated, and competitive Advanced Driver Assistance System (ADAS) solutions to automakers and Tier-1 suppliers at scale.
  • Mar-2022: Microsoft took over Nuance Communications, a leader in conversational AI and ambient intelligence across industries. This acquisition aimed to assist providers in providing more affordable, efficient, and accessible healthcare, and assist companies in every industry develop more customized and meaningful customer experiences.
  • Feb-2022: HARMAN International took over Apostera, a Germany-based automotive technology company. This acquisition aimed to integrate Computer Vision, Machine Learning, Augmented Reality, and sensor fusion into a hardware-agnostic software platform. By effortlessly combining AR with the physical environment, Apostera’s mixed reality solution would support the goal of the company and transform any display in the car into a richly contextual experience.
  • Nov-2020: Intel completed the acquisition of Cnvrg.io, a full-stack data science platform. This acquisition aimed to strengthen Intel's machine learning and AI operations. Along with that, Intel’s acquisition of Cnvrg would assist it to continue to develop a complete portfolio of AI tools for developers to support its next-gen hardware.
  • Sep-2020: NVIDIA acquired Arm Limited from SBG. This acquisition aimed to bring NVIDIA’s AI computing platform together with Arm’s vast ecosystem to develop the premier computing company for the era of AI, boosting innovation along with expanding into large, high-growth markets.

Scope of the Study

Market Segments Covered in the Report:

By Application

  • Human-Machine Interface
  • Driver Monitoring
  • Autonomous & Semi-autonomous Driving
  • Identity Authentication
  • Autonomous Driving Processor Chips

By Process

  • Signal Recognition
  • Image Recognition
  • Data Mining

By Technology

  • Deep Learning
  • Machine Learning & Computer Vision
  • Natural Language Processing
  • Context- aware Computing

By Offering

  • Software
  • Hardware

By Component

  • Graphics Processing Unit (GPU)
  • Microprocessors (Including ASIC)
  • Field Programmable Gate Array (FPGA)
  • Memory & Storage Systems
  • Image Sensors
  • Biometric Scanners
  • Others

By Geography

  • North America
  • US
  • Canada
  • Mexico
  • Rest of North America
  • Europe
  • Germany
  • UK
  • France
  • Russia
  • Spain
  • Italy
  • Rest of Europe
  • Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Singapore
  • Malaysia
  • Rest of Asia Pacific
  • LAMEA
  • Brazil
  • Argentina
  • UAE
  • Saudi Arabia
  • South Africa
  • Nigeria
  • Rest of LAMEA

Key Market Players

List of Companies Profiled in the Report:

  • Microsoft Corporation
  • IBM Corporation
  • Google LLC (Alphabet, Inc.)
  • Intel Corporation
  • Qualcomm Inc.
  • Nvidia Corporation
  • Harman International Industries, Inc. (Samsung Electronics Co., Ltd.)
  • Hyundai Motor Company
  • Mitsubishi Electric Corporation
  • Tesla, Inc.

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Table of Contents

Chapter 1. Market Scope & Methodology
1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 Global Automotive Artificial Intelligence Market, by Application
1.4.2 Global Automotive Artificial Intelligence Market, by Process
1.4.3 Global Automotive Artificial Intelligence Market, by Technology
1.4.4 Global Automotive Artificial Intelligence Market, by Offering
1.4.5 Global Automotive Artificial Intelligence Market, by Component
1.4.6 Global Automotive Artificial Intelligence Market, by Geography
1.5 Methodology for the research
Chapter 2. Market Overview
2.1 Introduction
2.1.1 Overview
2.1.1.1 Market Composition and Scenario
2.2 Key Factors Impacting the Market
2.2.1 Market Drivers
2.2.2 Market Restraints
Chapter 3. Competition Analysis - Global
3.1 Cardinal Matrix
3.2 Recent Industry Wide Strategic Developments
3.2.1 Partnerships, Collaborations and Agreements
3.2.2 Product Launches and Product Expansions
3.2.3 Acquisition and Mergers
3.3 Top Winning Strategies
3.3.1 Key Leading Strategies: Percentage Distribution (2018-2022)
3.3.2 Key Strategic Move: (Acquisition and Mergers: 2019, Oct - 2022, Sep) Leading Players
Chapter 4. Global Automotive Artificial Intelligence Market by Application
4.1 Global Human-Machine Interface Market by Region
4.2 Global Driver Monitoring Market by Region
4.3 Global Autonomous & Semi-autonomous Driving Market by Region
4.4 Global Identity Authentication Market by Region
4.5 Global Autonomous Driving Processor Chips Market by Region
Chapter 5. Global Automotive Artificial Intelligence Market by Process
5.1 Global Signal Recognition Market by Region
5.2 Global Image Recognition Market by Region
5.3 Global Data Mining Market by Region
Chapter 6. Global Automotive Artificial Intelligence Market by Technology
6.1 Global Deep Learning Market by Region
6.2 Global Machine Learning & Computer Vision Market by Region
6.3 Global Natural Language Processing Market by Region
6.4 Global Context- aware Computing Market by Region
Chapter 7. Global Automotive Artificial Intelligence Market by Offering
7.1 Global Software Market by Region
7.2 Global Hardware Market by Region
Chapter 8. Global Automotive Artificial Intelligence Market by Component
8.1 Global Graphics Processing Unit (GPU) Market by Region
8.2 Global Microprocessors (Including ASIC) Market by Region
8.3 Global Field Programmable Gate Array (FPGA) Market by Region
8.4 Global Memory & Storage Systems Market by Region
8.5 Global Image Sensors Market by Region
8.6 Global Biometric Scanners Market by Region
8.7 Global Others Market by Region
Chapter 9. Global Automotive Artificial Intelligence Market by Region
9.1 North America Automotive Artificial Intelligence Market
9.1.1 North America Automotive Artificial Intelligence Market by Application
9.1.1.1 North America Human-Machine Interface Market by Country
9.1.1.2 North America Driver Monitoring Market by Country
9.1.1.3 North America Autonomous & Semi-autonomous Driving Market by Country
9.1.1.4 North America Identity Authentication Market by Country
9.1.1.5 North America Autonomous Driving Processor Chips Market by Country
9.1.2 North America Automotive Artificial Intelligence Market by Process
9.1.2.1 North America Signal Recognition Market by Country
9.1.2.2 North America Image Recognition Market by Country
9.1.2.3 North America Data Mining Market by Country
9.1.3 North America Automotive Artificial Intelligence Market by Technology
9.1.3.1 North America Deep Learning Market by Country
9.1.3.2 North America Machine Learning & Computer Vision Market by Country
9.1.3.3 North America Natural Language Processing Market by Country
9.1.3.4 North America Context- aware Computing Market by Country
9.1.4 North America Automotive Artificial Intelligence Market by Offering
9.1.4.1 North America Software Market by Country
9.1.4.2 North America Hardware Market by Country
9.1.5 North America Automotive Artificial Intelligence Market by Component
9.1.5.1 North America Graphics Processing Unit (GPU) Market by Country
9.1.5.2 North America Microprocessors (Including ASIC) Market by Country
9.1.5.3 North America Field Programmable Gate Array (FPGA) Market by Country
9.1.5.4 North America Memory & Storage Systems Market by Country
9.1.5.5 North America Image Sensors Market by Country
9.1.5.6 North America Biometric Scanners Market by Country
9.1.5.7 North America Others Market by Country
9.1.6 North America Automotive Artificial Intelligence Market by Country
9.1.6.1 US Automotive Artificial Intelligence Market
9.1.6.1.1 US Automotive Artificial Intelligence Market by Application
9.1.6.1.2 US Automotive Artificial Intelligence Market by Process
9.1.6.1.3 US Automotive Artificial Intelligence Market by Technology
9.1.6.1.4 US Automotive Artificial Intelligence Market by Offering
9.1.6.1.5 US Automotive Artificial Intelligence Market by Component
9.1.6.2 Canada Automotive Artificial Intelligence Market
9.1.6.2.1 Canada Automotive Artificial Intelligence Market by Application
9.1.6.2.2 Canada Automotive Artificial Intelligence Market by Process
9.1.6.2.3 Canada Automotive Artificial Intelligence Market by Technology
9.1.6.2.4 Canada Automotive Artificial Intelligence Market by Offering
9.1.6.2.5 Canada Automotive Artificial Intelligence Market by Component
9.1.6.3 Mexico Automotive Artificial Intelligence Market
9.1.6.3.1 Mexico Automotive Artificial Intelligence Market by Application
9.1.6.3.2 Mexico Automotive Artificial Intelligence Market by Process
9.1.6.3.3 Mexico Automotive Artificial Intelligence Market by Technology
9.1.6.3.4 Mexico Automotive Artificial Intelligence Market by Offering
9.1.6.3.5 Mexico Automotive Artificial Intelligence Market by Component
9.1.6.4 Rest of North America Automotive Artificial Intelligence Market
9.1.6.4.1 Rest of North America Automotive Artificial Intelligence Market by Application
9.1.6.4.2 Rest of North America Automotive Artificial Intelligence Market by Process
9.1.6.4.3 Rest of North America Automotive Artificial Intelligence Market by Technology
9.1.6.4.4 Rest of North America Automotive Artificial Intelligence Market by Offering
9.1.6.4.5 Rest of North America Automotive Artificial Intelligence Market by Component
9.2 Europe Automotive Artificial Intelligence Market
9.2.1 Europe Automotive Artificial Intelligence Market by Application
9.2.1.1 Europe Human-Machine Interface Market by Country
9.2.1.2 Europe Driver Monitoring Market by Country
9.2.1.3 Europe Autonomous & Semi-autonomous Driving Market by Country
9.2.1.4 Europe Identity Authentication Market by Country
9.2.1.5 Europe Autonomous Driving Processor Chips Market by Country
9.2.2 Europe Automotive Artificial Intelligence Market by Process
9.2.2.1 Europe Signal Recognition Market by Country
9.2.2.2 Europe Image Recognition Market by Country
9.2.2.3 Europe Data Mining Market by Country
9.2.3 Europe Automotive Artificial Intelligence Market by Technology
9.2.3.1 Europe Deep Learning Market by Country
9.2.3.2 Europe Machine Learning & Computer Vision Market by Country
9.2.3.3 Europe Natural Language Processing Market by Country
9.2.3.4 Europe Context- aware Computing Market by Country
9.2.4 Europe Automotive Artificial Intelligence Market by Offering
9.2.4.1 Europe Software Market by Country
9.2.4.2 Europe Hardware Market by Country
9.2.5 Europe Automotive Artificial Intelligence Market by Component
9.2.5.1 Europe Graphics Processing Unit (GPU) Market by Country
9.2.5.2 Europe Microprocessors (Including ASIC) Market by Country
9.2.5.3 Europe Field Programmable Gate Array (FPGA) Market by Country
9.2.5.4 Europe Memory & Storage Systems Market by Country
9.2.5.5 Europe Image Sensors Market by Country
9.2.5.6 Europe Biometric Scanners Market by Country
9.2.5.7 Europe Others Market by Country
9.2.6 Europe Automotive Artificial Intelligence Market by Country
9.2.6.1 Germany Automotive Artificial Intelligence Market
9.2.6.1.1 Germany Automotive Artificial Intelligence Market by Application
9.2.6.1.2 Germany Automotive Artificial Intelligence Market by Process
9.2.6.1.3 Germany Automotive Artificial Intelligence Market by Technology
9.2.6.1.4 Germany Automotive Artificial Intelligence Market by Offering
9.2.6.1.5 Germany Automotive Artificial Intelligence Market by Component
9.2.6.2 UK Automotive Artificial Intelligence Market
9.2.6.2.1 UK Automotive Artificial Intelligence Market by Application
9.2.6.2.2 UK Automotive Artificial Intelligence Market by Process
9.2.6.2.3 UK Automotive Artificial Intelligence Market by Technology
9.2.6.2.4 UK Automotive Artificial Intelligence Market by Offering
9.2.6.2.5 UK Automotive Artificial Intelligence Market by Component
9.2.6.3 France Automotive Artificial Intelligence Market
9.2.6.3.1 France Automotive Artificial Intelligence Market by Application
9.2.6.3.2 France Automotive Artificial Intelligence Market by Process
9.2.6.3.3 France Automotive Artificial Intelligence Market by Technology
9.2.6.3.4 France Automotive Artificial Intelligence Market by Offering
9.2.6.3.5 France Automotive Artificial Intelligence Market by Component
9.2.6.4 Russia Automotive Artificial Intelligence Market
9.2.6.4.1 Russia Automotive Artificial Intelligence Market by Application
9.2.6.4.2 Russia Automotive Artificial Intelligence Market by Process
9.2.6.4.3 Russia Automotive Artificial Intelligence Market by Technology
9.2.6.4.4 Russia Automotive Artificial Intelligence Market by Offering
9.2.6.4.5 Russia Automotive Artificial Intelligence Market by Component
9.2.6.5 Spain Automotive Artificial Intelligence Market
9.2.6.5.1 Spain Automotive Artificial Intelligence Market by Application
9.2.6.5.2 Spain Automotive Artificial Intelligence Market by Process
9.2.6.5.3 Spain Automotive Artificial Intelligence Market by Technology
9.2.6.5.4 Spain Automotive Artificial Intelligence Market by Offering
9.2.6.5.5 Spain Automotive Artificial Intelligence Market by Component
9.2.6.6 Italy Automotive Artificial Intelligence Market
9.2.6.6.1 Italy Automotive Artificial Intelligence Market by Application
9.2.6.6.2 Italy Automotive Artificial Intelligence Market by Process
9.2.6.6.3 Italy Automotive Artificial Intelligence Market by Technology
9.2.6.6.4 Italy Automotive Artificial Intelligence Market by Offering
9.2.6.6.5 Italy Automotive Artificial Intelligence Market by Component
9.2.6.7 Rest of Europe Automotive Artificial Intelligence Market
9.2.6.7.1 Rest of Europe Automotive Artificial Intelligence Market by Application
9.2.6.7.2 Rest of Europe Automotive Artificial Intelligence Market by Process
9.2.6.7.3 Rest of Europe Automotive Artificial Intelligence Market by Technology
9.2.6.7.4 Rest of Europe Automotive Artificial Intelligence Market by Offering
9.2.6.7.5 Rest of Europe Automotive Artificial Intelligence Market by Component
9.3 Asia Pacific Automotive Artificial Intelligence Market
9.3.1 Asia Pacific Automotive Artificial Intelligence Market by Application
9.3.1.1 Asia Pacific Human-Machine Interface Market by Country
9.3.1.2 Asia Pacific Driver Monitoring Market by Country
9.3.1.3 Asia Pacific Autonomous & Semi-autonomous Driving Market by Country
9.3.1.4 Asia Pacific Identity Authentication Market by Country
9.3.1.5 Asia Pacific Autonomous Driving Processor Chips Market by Country
9.3.2 Asia Pacific Automotive Artificial Intelligence Market by Process
9.3.2.1 Asia Pacific Signal Recognition Market by Country
9.3.2.2 Asia Pacific Image Recognition Market by Country
9.3.2.3 Asia Pacific Data Mining Market by Country
9.3.3 Asia Pacific Automotive Artificial Intelligence Market by Technology
9.3.3.1 Asia Pacific Deep Learning Market by Country
9.3.3.2 Asia Pacific Machine Learning & Computer Vision Market by Country
9.3.3.3 Asia Pacific Natural Language Processing Market by Country
9.3.3.4 Asia Pacific Context- aware Computing Market by Country
9.3.4 Asia Pacific Automotive Artificial Intelligence Market by Offering
9.3.4.1 Asia Pacific Software Market by Country
9.3.4.2 Asia Pacific Hardware Market by Country
9.3.5 Asia Pacific Automotive Artificial Intelligence Market by Component
9.3.5.1 Asia Pacific Graphics Processing Unit (GPU) Market by Country
9.3.5.2 Asia Pacific Microprocessors (Including ASIC) Market by Country
9.3.5.3 Asia Pacific Field Programmable Gate Array (FPGA) Market by Country
9.3.5.4 Asia Pacific Memory & Storage Systems Market by Country
9.3.5.5 Asia Pacific Image Sensors Market by Country
9.3.5.6 Asia Pacific Biometric Scanners Market by Country
9.3.5.7 Asia Pacific Others Market by Country
9.3.6 Asia Pacific Automotive Artificial Intelligence Market by Country
9.3.6.1 China Automotive Artificial Intelligence Market
9.3.6.1.1 China Automotive Artificial Intelligence Market by Application
9.3.6.1.2 China Automotive Artificial Intelligence Market by Process
9.3.6.1.3 China Automotive Artificial Intelligence Market by Technology
9.3.6.1.4 China Automotive Artificial Intelligence Market by Offering
9.3.6.1.5 China Automotive Artificial Intelligence Market by Component
9.3.6.2 Japan Automotive Artificial Intelligence Market
9.3.6.2.1 Japan Automotive Artificial Intelligence Market by Application
9.3.6.2.2 Japan Automotive Artificial Intelligence Market by Process
9.3.6.2.3 Japan Automotive Artificial Intelligence Market by Technology
9.3.6.2.4 Japan Automotive Artificial Intelligence Market by Offering
9.3.6.2.5 Japan Automotive Artificial Intelligence Market by Component
9.3.6.3 India Automotive Artificial Intelligence Market
9.3.6.3.1 India Automotive Artificial Intelligence Market by Application
9.3.6.3.2 India Automotive Artificial Intelligence Market by Process
9.3.6.3.3 India Automotive Artificial Intelligence Market by Technology
9.3.6.3.4 India Automotive Artificial Intelligence Market by Offering
9.3.6.3.5 India Automotive Artificial Intelligence Market by Component
9.3.6.4 South Korea Automotive Artificial Intelligence Market
9.3.6.4.1 South Korea Automotive Artificial Intelligence Market by Application
9.3.6.4.2 South Korea Automotive Artificial Intelligence Market by Process
9.3.6.4.3 South Korea Automotive Artificial Intelligence Market by Technology
9.3.6.4.4 South Korea Automotive Artificial Intelligence Market by Offering
9.3.6.4.5 South Korea Automotive Artificial Intelligence Market by Component
9.3.6.5 Singapore Automotive Artificial Intelligence Market
9.3.6.5.1 Singapore Automotive Artificial Intelligence Market by Application
9.3.6.5.2 Singapore Automotive Artificial Intelligence Market by Process
9.3.6.5.3 Singapore Automotive Artificial Intelligence Market by Technology
9.3.6.5.4 Singapore Automotive Artificial Intelligence Market by Offering
9.3.6.5.5 Singapore Automotive Artificial Intelligence Market by Component
9.3.6.6 Malaysia Automotive Artificial Intelligence Market
9.3.6.6.1 Malaysia Automotive Artificial Intelligence Market by Application
9.3.6.6.2 Malaysia Automotive Artificial Intelligence Market by Process
9.3.6.6.3 Malaysia Automotive Artificial Intelligence Market by Technology
9.3.6.6.4 Malaysia Automotive Artificial Intelligence Market by Offering
9.3.6.6.5 Malaysia Automotive Artificial Intelligence Market by Component
9.3.6.7 Rest of Asia Pacific Automotive Artificial Intelligence Market
9.3.6.7.1 Rest of Asia Pacific Automotive Artificial Intelligence Market by Application
9.3.6.7.2 Rest of Asia Pacific Automotive Artificial Intelligence Market by Process
9.3.6.7.3 Rest of Asia Pacific Automotive Artificial Intelligence Market by Technology
9.3.6.7.4 Rest of Asia Pacific Automotive Artificial Intelligence Market by Offering
9.3.6.7.5 Rest of Asia Pacific Automotive Artificial Intelligence Market by Component
9.4 LAMEA Automotive Artificial Intelligence Market
9.4.1 LAMEA Automotive Artificial Intelligence Market by Application
9.4.1.1 LAMEA Human-Machine Interface Market by Country
9.4.1.2 LAMEA Driver Monitoring Market by Country
9.4.1.3 LAMEA Autonomous & Semi-autonomous Driving Market by Country
9.4.1.4 LAMEA Identity Authentication Market by Country
9.4.1.5 LAMEA Autonomous Driving Processor Chips Market by Country
9.4.2 LAMEA Automotive Artificial Intelligence Market by Process
9.4.2.1 LAMEA Signal Recognition Market by Country
9.4.2.2 LAMEA Image Recognition Market by Country
9.4.2.3 LAMEA Data Mining Market by Country
9.4.3 LAMEA Automotive Artificial Intelligence Market by Technology
9.4.3.1 LAMEA Deep Learning Market by Country
9.4.3.2 LAMEA Machine Learning & Computer Vision Market by Country
9.4.3.3 LAMEA Natural Language Processing Market by Country
9.4.3.4 LAMEA Context- aware Computing Market by Country
9.4.4 LAMEA Automotive Artificial Intelligence Market by Offering
9.4.4.1 LAMEA Software Market by Country
9.4.4.2 LAMEA Hardware Market by Country
9.4.5 LAMEA Automotive Artificial Intelligence Market by Component
9.4.5.1 LAMEA Graphics Processing Unit (GPU) Market by Country
9.4.5.2 LAMEA Microprocessors (Including ASIC) Market by Country
9.4.5.3 LAMEA Field Programmable Gate Array (FPGA) Market by Country
9.4.5.4 LAMEA Memory & Storage Systems Market by Country
9.4.5.5 LAMEA Image Sensors Market by Country
9.4.5.6 LAMEA Biometric Scanners Market by Country
9.4.5.7 LAMEA Others Market by Country
9.4.6 LAMEA Automotive Artificial Intelligence Market by Country
9.4.6.1 Brazil Automotive Artificial Intelligence Market
9.4.6.1.1 Brazil Automotive Artificial Intelligence Market by Application
9.4.6.1.2 Brazil Automotive Artificial Intelligence Market by Process
9.4.6.1.3 Brazil Automotive Artificial Intelligence Market by Technology
9.4.6.1.4 Brazil Automotive Artificial Intelligence Market by Offering
9.4.6.1.5 Brazil Automotive Artificial Intelligence Market by Component
9.4.6.2 Argentina Automotive Artificial Intelligence Market
9.4.6.2.1 Argentina Automotive Artificial Intelligence Market by Application
9.4.6.2.2 Argentina Automotive Artificial Intelligence Market by Process
9.4.6.2.3 Argentina Automotive Artificial Intelligence Market by Technology
9.4.6.2.4 Argentina Automotive Artificial Intelligence Market by Offering
9.4.6.2.5 Argentina Automotive Artificial Intelligence Market by Component
9.4.6.3 UAE Automotive Artificial Intelligence Market
9.4.6.3.1 UAE Automotive Artificial Intelligence Market by Application
9.4.6.3.2 UAE Automotive Artificial Intelligence Market by Process
9.4.6.3.3 UAE Automotive Artificial Intelligence Market by Technology
9.4.6.3.4 UAE Automotive Artificial Intelligence Market by Offering
9.4.6.3.5 UAE Automotive Artificial Intelligence Market by Component
9.4.6.4 Saudi Arabia Automotive Artificial Intelligence Market
9.4.6.4.1 Saudi Arabia Automotive Artificial Intelligence Market by Application
9.4.6.4.2 Saudi Arabia Automotive Artificial Intelligence Market by Process
9.4.6.4.3 Saudi Arabia Automotive Artificial Intelligence Market by Technology
9.4.6.4.4 Saudi Arabia Automotive Artificial Intelligence Market by Offering
9.4.6.4.5 Saudi Arabia Automotive Artificial Intelligence Market by Component
9.4.6.5 South Africa Automotive Artificial Intelligence Market
9.4.6.5.1 South Africa Automotive Artificial Intelligence Market by Application
9.4.6.5.2 South Africa Automotive Artificial Intelligence Market by Process
9.4.6.5.3 South Africa Automotive Artificial Intelligence Market by Technology
9.4.6.5.4 South Africa Automotive Artificial Intelligence Market by Offering
9.4.6.5.5 South Africa Automotive Artificial Intelligence Market by Component
9.4.6.6 Nigeria Automotive Artificial Intelligence Market
9.4.6.6.1 Nigeria Automotive Artificial Intelligence Market by Application
9.4.6.6.2 Nigeria Automotive Artificial Intelligence Market by Process
9.4.6.6.3 Nigeria Automotive Artificial Intelligence Market by Technology
9.4.6.6.4 Nigeria Automotive Artificial Intelligence Market by Offering
9.4.6.6.5 Nigeria Automotive Artificial Intelligence Market by Component
9.4.6.7 Rest of LAMEA Automotive Artificial Intelligence Market
9.4.6.7.1 Rest of LAMEA Automotive Artificial Intelligence Market by Application
9.4.6.7.2 Rest of LAMEA Automotive Artificial Intelligence Market by Process
9.4.6.7.3 Rest of LAMEA Automotive Artificial Intelligence Market by Technology
9.4.6.7.4 Rest of LAMEA Automotive Artificial Intelligence Market by Offering
9.4.6.7.5 Rest of LAMEA Automotive Artificial Intelligence Market by Component
Chapter 10. Company Profiles
10.1 Microsoft Corporation
10.1.1 Company Overview
10.1.2 Financial Analysis
10.1.3 Segmental and Regional Analysis
10.1.4 Research & Development Expenses
10.1.5 Recent strategies and developments:
10.1.5.1 Partnerships, Collaborations, and Agreements:
10.1.5.2 Acquisition and Mergers:
10.1.6 SWOT Analysis
10.2 IBM Corporation
10.2.1 Company Overview
10.2.2 Financial Analysis
10.2.3 Regional & Segmental Analysis
10.2.4 Research & Development Expenses
10.2.5 Recent strategies and developments:
10.2.5.1 Acquisition and Mergers:
10.2.6 SWOT Analysis
10.3 Google LLC (Alphabet, Inc.)
10.3.1 Company Overview
10.3.2 Financial Analysis
10.3.3 Segmental and Regional Analysis
10.3.4 Research & Development Expense
10.3.5 SWOT Analysis
10.4 Intel Corporation
10.4.1 Company Overview
10.4.2 Financial Analysis
10.4.3 Segmental and Regional Analysis
10.4.4 Research & Development Expenses
10.4.5 Recent strategies and developments:
10.4.5.1 Acquisition and Mergers:
10.4.6 SWOT Analysis
10.5 NVIDIA Corporation
10.5.1 Company Overview
10.5.2 Financial Analysis
10.5.3 Segmental and Regional Analysis
10.5.4 Research & Development Expense
10.5.5 Recent strategies and developments:
10.5.5.1 Product Launches and Product Expansions:
10.5.5.2 Acquisition and Mergers:
10.5.6 SWOT Analysis
10.6 Harman International Industries, Inc. (Samsung Electronics Co., Ltd.)
10.6.1 Company Overview
10.6.2 Financial Analysis
10.6.3 Segmental and Regional Analysis
10.6.4 Research & Development Expense
10.6.5 Recent strategies and developments:
10.6.5.1 Partnerships, Collaborations, and Agreements:
10.6.5.2 Product Launches and Product Expansions:
10.6.5.3 Acquisition and Mergers:
10.6.6 SWOT Analysis
10.7 Hyundai Motor Company
10.7.1 Company Overview
10.7.2 Financial Analysis
10.7.3 Segmental and Regional Analysis
10.7.4 Research & Development Expense
10.7.5 Recent strategies and developments:
10.7.5.1 Partnerships, Collaborations, and Agreements:
10.7.5.2 Product Launches and Product Expansions:
10.7.6 SWOT Analysis
10.8 Tesla, Inc.
10.8.1 Company Overview
10.8.2 Financial Analysis
10.8.3 Segmental and Regional Analysis
10.8.4 Research & Development Expense
10.8.5 Recent strategies and developments:
10.8.5.1 Product Launches and Product Expansions:
10.8.5.2 Acquisition and Mergers:
10.8.6 SWOT Analysis
10.9 Qualcomm, Inc.
10.9.1 Company Overview
10.9.2 Financial Analysis
10.9.3 Segmental and Regional Analysis
10.9.4 Research & Development Expense
10.9.5 Recent strategies and developments:
10.9.5.1 Partnerships, Collaborations, and Agreements:
10.9.5.2 Product Launches and Product Expansions:
10.9.5.3 Acquisition and Mergers:
10.10. Mitsubishi Electric Corporation
10.10.1 Company Overview
10.10.2 Financial Analysis
10.10.3 Segmental and Regional Analysis
10.10.4 Research & Development Expense

Companies Mentioned

  • Microsoft Corporation
  • IBM Corporation
  • Google LLC (Alphabet, Inc.)
  • Intel Corporation
  • Qualcomm Inc.
  • Nvidia Corporation
  • Harman International Industries, Inc. (Samsung Electronics Co., Ltd.)
  • Hyundai Motor Company
  • Mitsubishi Electric Corporation
  • Tesla, Inc.

Methodology

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