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Asia Pacific 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

  • 156 Pages
  • September 2022
  • Region: Asia Pacific
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 5673746
The Asia Pacific Automotive Artificial Intelligence Market would witness market growth of 22.5% CAGR during the forecast period (2022-2028).

One of the most intriguing ways in which AI-powered technology is revolutionizing the automobile industry is its ability to incorporate human intelligence into the predictive maintenance procedure. Conventional techniques of preventative maintenance consist of predetermined timetables and expensive, inefficient monitoring of variables like infrared temperature trends as well as vibration analyses.

With the correct AI tool and a basic sound pickup, it is feasible to detect the tiniest differences in equipment performance much before they are detectable to humans. AI-enabled systems may 'hear'these pitch or tonal variations in equipment and inform technicians who could audibly validate and identify these abnormalities so that repair can be planned prior to their halting production.

Autonomous or driverless cars are the finest applications of artificial intelligence in the automobile sector. Utilization of AI in the automotive sector to produce self-learning and self-driving vehicles of the next generation. Earlier, driverless cars on the road were only a pipe dream. Nowadays, though, it is occurring in real time. Because India, the United States, and Europe are home to the top automakers in the world, the vehicle production process exceeds the expectations.

China is the world's largest automobile manufacturer and is increasingly incorporating artificial intelligence into its automotive business. In 2019, TuSimple, Horizon Robotics, and WeRide each obtained Series D, Series B, and Series A+ investment. By forming partnerships with multiple OEMs, Chinese IT giants such as Baidu, Tencent, and Alibaba are embracing the autonomous mobility industry. Alibaba and SAIC motors teamed up to manufacture linked vehicles. Apollo, Baidu's self-driving assistance platform, has teamed with more than 90 companies, including Daimler, to offer autonomous mobility support.

The China market dominated the Asia Pacific Automotive Artificial Intelligence Market by Country in 2021; thereby, achieving a market value of $647.1 million by 2028. The Japan market is exhibiting a CAGR of 21.8% during (2022-2028). Additionally, The India market would experience a CAGR of 23.3% 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 China, Japan, India, South Korea, Singapore, Malaysia, and Rest of Asia Pacific.

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

  • China
  • Japan
  • India
  • South Korea
  • Singapore
  • Malaysia
  • Rest of Asia Pacific

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