Market Overview:

The global artificial intelligence chip market reached a value of US$ 9.64 Billion in 2021. Looking forward, IMARC Group expects the market to reach a value of US$ 66.4 Billion by 2027, exhibiting a growth rate (CAGR) of 35.20% during 2022-2027. Keeping in mind the uncertainties of COVID-19, we are continuously tracking and evaluating the direct as well as the indirect influence of the pandemic on different end use industries. These insights are included in the report as a major market contributor.

Artificial intelligence (AI) chips are specialized silicon chips that incorporate AI technology to solve complex computational and mathematical problems and minimize human errors. They are utilized to manage large and parallel systems seamlessly. Since they are faster and more efficient than CPUs for the training and inference of AI algorithms, they are extensively used for machine learning. These chips address the necessity for faster processing of big data volumes to accomplish machine learning tasks quickly. They also provide various benefits, such as usability, data privacy and security, due to which they are widely integrated with smartphones. There are four kinds of artificial intelligence: reactive machines, theory of mind, self-awareness, and limited memory. Some of the applications of AI chips include intelligent robots, voice recognition, autonomous vehicles, and smart hardware.

Artificial Intelligence Chip Market Trends:

The market is primarily driven by the ever-increasing usage of social media and e-commerce platforms, leading to massive growth in data volumes. Consequently, this has led to the rising requirement for AI chips across the globe. Numerous players in the information technology (IT) industry are focusing on developing efficient processors, which is acting as a significant growth-inducing factor for the market. The widespread applications of deep learning algorithms, coupled with the emergence of quantum computing, are also providing various growth opportunities in the market. In line with this, the rising customer inclination toward the Internet of Things (IoT) devices is creating a positive outlook for the market. Furthermore, the escalating demand for smart homes and smart cities, growing investments in AI start-ups, and the emergence of autonomous robotics are some of the other factors providing a boost to the market growth.

Key Market Segmentation:

IMARC Group provides an analysis of the key trends in each sub-segment of the global artificial intelligence chip market, along with forecasts at the global, regional and country level from 2022-2027. Our report has categorized the market based on chip type, technology, processing type, application and industry vertical.

Breakup by Chip Type:

• GPU
• ASIC
• FPGA
• CPU
• Others
   

Breakup by Technology:

• System-on-Chip (SoC)
• System-In-Package (SIP)
• Multi-Chip Module
• Others
   

Breakup by Processing Type:

• Edge
• Cloud
   

Breakup by Application:

• Natural Language Processing (NLP)
• Robotics
• Computer Vision
• Network Security
• Others
   

Breakup by Industry Vertical:

• Media and Advertising
• BFSI
• IT and Telecom
• Retail
• Healthcare
• Automotive and Transportation
• Others
   

Breakup by Region:

• North America
  • United States
  • Canada
• Asia-Pacific
  • China
  • Japan
  • India
  • South Korea
  • Australia
  • Indonesia
  • Others
• Europe
  • Germany
  • France
  • United Kingdom
  • Italy
  • Spain
  • Russia
  • Others
• Latin America
  • Brazil
  • Mexico
  • Others
• Middle East and Africa
   

Competitive Landscape:

The competitive landscape of the industry has also been examined along with the profiles of the key players being Advanced Micro Devices Inc., Huawei Technologies Co. Ltd., Intel Corporation, LG Electronics Inc. (LG Corporation), Mediatek Inc., Micron Technology Inc., Mythic Inc., Nvidia Corporation, NXP Semiconductors N.V., Qualcomm Technologies Inc, SK hynix Inc. and Toshiba Corporation.

Report Coverage: