Automotive artificial intelligence market || Nvidia, Alphabet, Intel, International Business Machines, Microsoft

Artificial intelligence (AI) is one of the most advanced technologies in computing.

PORTLAND, OR, USA, Jan 10, 2022 /EINPresswire.com/ – Automotive Artificial Intelligence Market Outlook – 2025
The global automotive artificial intelligence market is expected to reach $ 8,887.6 million by 2025, up from $ 445.8 million in 2017, with a CAGR of 45.0% from 2018 to 2025.

Artificial intelligence (AI) is one of the most advanced technologies in computing. It is associated with human intelligence through similar characteristics such as language comprehension, reasoning, learning, problem solving, and others. Manufacturers in the market are witnessing huge underlying intellectual challenges in the development and overhaul of technology. In addition, the growth of the automotive industry is expected to boost the automotive artificial intelligence market. The automotive industry has known the promise of artificial intelligence and is among the leading industries using AI to augment and mimic the action of humans. In addition, the emergence of standards such as Advanced Driver Assistance System (ADAS), Adaptive Cruise Control (ACC), Blind Spot Alert and the growth in demand for convenience features are attracting automakers to AI.

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Major market players:
• Nvidia Company
• Alphabet Inc. (Waymo)
• Company intel
• International Business Machines Corporation (IBM)
• Microsoft Corporation
• Micron Technology, Inc
• BMW
• Uber Technologies Inc. (OTTO Motors)
• Tesla, Inc
• Toyota Motor Corporation

The growth of the automotive artificial intelligence market is driven by the increasing demand for autonomous vehicles and the growing preference for improved user experience and convenience features. However, the threat of hackers and the increase in cybercrime are expected to restrain the growth of the market. On the contrary, increasing demand for the premium vehicle segment is expected to provide lucrative growth opportunities for the market.

The report segments the automotive artificial intelligence market on the basis of component, technology, application, and region. Based on components, the market is divided into hardware, software, and service. Additionally, hardware is categorized into processor, memory, and networks. In addition, the processor is divided into microprocessor and graphics processing unit. By technology, the market is segmented into machine learning and deep learning, computer vision, and natural language processing. By application, it is fragmented into semi-autonomous and autonomous. Regionally, the market is analyzed North America, Europe, Asia-Pacific, and LAMEA.

Key market segments
• BY APPLICATION
o Semi-Autonomous
o Autonomous
• BY COMPONENT
o Material
Processor
Memory
Network
o Software
o Service
• BY TECHNOLOGY
o Machine learning and deep learning
o Computer vision
o Natural language processing

Autonomous vehicles are gaining popularity in the world due to various features like automatic parking, autonomous driving, autopilot and others which minimize human effort while driving. Plus, these self-driving vehicles are backed by some of the biggest, technologically sound companies like Nvidia, Intel, and Tesla, among others, so the likelihood of failure is minimal. For example, Tesla’s autopilot system, which has features like keeping the vehicle in a lane while driving, automatic lane change whenever needed, automatic parking and the like is one of the systems. the most advanced available on the automotive artificial intelligence market. In addition, autonomous vehicles are expected to dramatically reduce the need for human intervention and be of vital importance in industries that suffer from low manpower for transportation. This in turn is expected to drive the growth of the automotive AI market.

Autonomous vehicles have made consumers’ lives safe and convenient. However, manufacturers face some threats related to security and privacy issues, such as personal data security, cyber attacks, and distracted driving. For example, approximately 1.4 million Fiat Chryslers have been recalled in the United States due to a problem in their dashboard computers that allowed hackers to disable the vehicle. Likewise, hackers have successfully implanted malware into a Tesla car’s system. These instances of intrusion into customer privacy are some of the major constraints to the growth of the market.

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