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

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    Report

  • 152 Pages
  • September 2022
  • Region: Africa, Middle East
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 5673708
The Latin America, Middle East and Africa Automotive Artificial Intelligence Market would witness market growth of 28.9% CAGR during the forecast period (2022-2028).

With the deployment of AI technology, self-driving cars are being developed at a quicker rate. It is one of AI's greatest benefits for the automobile sector. In addition to gathering data from image recognition systems, self-driving cars may operate independently through the use of neural networks and machine learning. Consequently, the contribution of artificial intelligence to the development of driverless cars is astounding.

AI for the automotive business is not restricted to autonomous car production and other driver assistance functions; rather, the application of AI in the automotive industry for obtaining the data of connected vehicles is on the rise in most markets. Connected or autonomous vehicles require an increasing amount of data to perform their jobs autonomously. The utilization of AI cloud services is beneficial here. It provides the accessibility of data for self-driving vehicles.

AI Cloud is an ideal platform for implementing and executing AI technologies in the automobile sector. In addition, the combination of AI with IoT sensors and the cloud provides outstanding benefits. In the automobile business, AI systems analyze hundreds of sensor data and identify operational difficulties. In automotive production, artificial intelligence warns the driver of component failure and makes travel safer and more convenient. Therefore, artificial intelligence in automobiles facilitates the prediction of component failure prior to its occurrence.

With big infrastructure and housing developments planned, this industry would continue to expand. While sales of light commercial vehicles should remain on the rise because of more business and investments resulting from greater migration from neighbouring countries, sales of heavy commercial vehicles would then continue to be bolstered by substantial infrastructure as well as other construction projects. In addition to increased tourist and hospitality activities in the UAE and rising demand from construction workers, the need for bus and minibus would continue to climb.

The Brazil market dominated the LAMEA Automotive Artificial Intelligence Market by Country in 2021; thereby, achieving a market value of $157.8 million by 2028. The Argentina market would exhibit a CAGR of 29.6% during (2022-2028). Additionally, The UAE market is experiencing a CAGR of 28.6% during (2022-2028).

Based on Application, the market is segmented into Human-Machine Interface, Driver Monitoring, Autonomous & Semi-autonomous Driving, Identity Authentication, and Autonomous Driving Processor Chips. Based on Process, the market is segmented into Signal Recognition, Image Recognition, and Data Mining. Based on Technology, the market is segmented into Deep Learning, Machine Learning & Computer Vision, Natural Language Processing, and Context- aware Computing. Based on Offering, the market is segmented into Software and Hardware. Based on Component, the market is segmented into Graphics Processing Unit (GPU), Microprocessors (Including ASIC), Field Programmable Gate Array (FPGA), Memory & Storage Systems, Image Sensors, Biometric Scanners, and Others. Based on countries, the market is segmented into Brazil, Argentina, UAE, Saudi Arabia, South Africa, Nigeria, and Rest of LAMEA.

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.

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 Country

  • 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.

Unique Offerings from the Publisher

  • Exhaustive coverage
  • The highest number of market tables and figures
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  • Assured post sales research support with 10% customization free

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 LAMEA Automotive Artificial Intelligence Market, by Application
1.4.2 LAMEA Automotive Artificial Intelligence Market, by Process
1.4.3 LAMEA Automotive Artificial Intelligence Market, by Technology
1.4.4 LAMEA Automotive Artificial Intelligence Market, by Offering
1.4.5 LAMEA Automotive Artificial Intelligence Market, by Component
1.4.6 LAMEA Automotive Artificial Intelligence Market, by Country
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. LAMEA Automotive Artificial Intelligence Market by Application
4.1 LAMEA Human-Machine Interface Market by Country
4.2 LAMEA Driver Monitoring Market by Country
4.3 LAMEA Autonomous & Semi-autonomous Driving Market by Country
4.4 LAMEA Identity Authentication Market by Country
4.5 LAMEA Autonomous Driving Processor Chips Market by Country
Chapter 5. LAMEA Automotive Artificial Intelligence Market by Process
5.1 LAMEA Signal Recognition Market by Country
5.2 LAMEA Image Recognition Market by Country
5.3 LAMEA Data Mining Market by Country
Chapter 6. LAMEA Automotive Artificial Intelligence Market by Technology
6.1 LAMEA Deep Learning Market by Country
6.2 LAMEA Machine Learning & Computer Vision Market by Country
6.3 LAMEA Natural Language Processing Market by Country
6.4 LAMEA Context- aware Computing Market by Country
Chapter 7. LAMEA Automotive Artificial Intelligence Market by Offering
7.1 LAMEA Software Market by Country
7.2 LAMEA Hardware Market by Country
Chapter 8. LAMEA Automotive Artificial Intelligence Market by Component
8.1 LAMEA Graphics Processing Unit (GPU) Market by Country
8.2 LAMEA Microprocessors (Including ASIC) Market by Country
8.3 LAMEA Field Programmable Gate Array (FPGA) Market by Country
8.4 LAMEA Memory & Storage Systems Market by Country
8.5 LAMEA Image Sensors Market by Country
8.6 LAMEA Biometric Scanners Market by Country
8.7 LAMEA Others Market by Country
Chapter 9. LAMEA Automotive Artificial Intelligence Market by Country
9.1 Brazil Automotive Artificial Intelligence Market
9.1.1 Brazil Automotive Artificial Intelligence Market by Application
9.1.2 Brazil Automotive Artificial Intelligence Market by Process
9.1.3 Brazil Automotive Artificial Intelligence Market by Technology
9.1.4 Brazil Automotive Artificial Intelligence Market by Offering
9.1.5 Brazil Automotive Artificial Intelligence Market by Component
9.2 Argentina Automotive Artificial Intelligence Market
9.2.1 Argentina Automotive Artificial Intelligence Market by Application
9.2.2 Argentina Automotive Artificial Intelligence Market by Process
9.2.3 Argentina Automotive Artificial Intelligence Market by Technology
9.2.4 Argentina Automotive Artificial Intelligence Market by Offering
9.2.5 Argentina Automotive Artificial Intelligence Market by Component
9.3 UAE Automotive Artificial Intelligence Market
9.3.1 UAE Automotive Artificial Intelligence Market by Application
9.3.2 UAE Automotive Artificial Intelligence Market by Process
9.3.3 UAE Automotive Artificial Intelligence Market by Technology
9.3.4 UAE Automotive Artificial Intelligence Market by Offering
9.3.5 UAE Automotive Artificial Intelligence Market by Component
9.4 Saudi Arabia Automotive Artificial Intelligence Market
9.4.1 Saudi Arabia Automotive Artificial Intelligence Market by Application
9.4.2 Saudi Arabia Automotive Artificial Intelligence Market by Process
9.4.3 Saudi Arabia Automotive Artificial Intelligence Market by Technology
9.4.4 Saudi Arabia Automotive Artificial Intelligence Market by Offering
9.4.5 Saudi Arabia Automotive Artificial Intelligence Market by Component
9.5 South Africa Automotive Artificial Intelligence Market
9.5.1 South Africa Automotive Artificial Intelligence Market by Application
9.5.2 South Africa Automotive Artificial Intelligence Market by Process
9.5.3 South Africa Automotive Artificial Intelligence Market by Technology
9.5.4 South Africa Automotive Artificial Intelligence Market by Offering
9.5.5 South Africa Automotive Artificial Intelligence Market by Component
9.6 Nigeria Automotive Artificial Intelligence Market
9.6.1 Nigeria Automotive Artificial Intelligence Market by Application
9.6.2 Nigeria Automotive Artificial Intelligence Market by Process
9.6.3 Nigeria Automotive Artificial Intelligence Market by Technology
9.6.4 Nigeria Automotive Artificial Intelligence Market by Offering
9.6.5 Nigeria Automotive Artificial Intelligence Market by Component
9.7 Rest of LAMEA Automotive Artificial Intelligence Market
9.7.1 Rest of LAMEA Automotive Artificial Intelligence Market by Application
9.7.2 Rest of LAMEA Automotive Artificial Intelligence Market by Process
9.7.3 Rest of LAMEA Automotive Artificial Intelligence Market by Technology
9.7.4 Rest of LAMEA Automotive Artificial Intelligence Market by Offering
9.7.5 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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