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.
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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Table of Contents
Chapter 1. Market Scope & Methodology
Chapter 2. Market Overview
Chapter 3. Competition Analysis - Global
Chapter 4. Asia Pacific Automotive Artificial Intelligence Market by Application
Chapter 5. Asia Pacific Automotive Artificial Intelligence Market by Process
Chapter 6. Asia Pacific Automotive Artificial Intelligence Market by Technology
Chapter 7. Asia Pacific Automotive Artificial Intelligence Market by Offering
Chapter 8. Asia Pacific Automotive Artificial Intelligence Market by Component
Chapter 9. Asia Pacific Automotive Artificial Intelligence Market by Country
Chapter 10. Company Profiles
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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