AI Chip Market – Drivers, Strategies, Applications and Competitive Landscape 2028

AI Chip Market – Drivers, Strategies, Applications and Competitive Landscape 2028

Artificial intelligence (AI) chips are dedicated Silicon chips, which incorporate AI technology and are used for machine learning. Global AI Chip market was valued, in 2017 USD XX million and in 2024 is expected to reach at USD XX million with growing CAGR of XX%.

Need for smart homes, elaboration of smart cities, and rise of quantum computing are the major factors for the acceptance of artificial intelligence chip. In addition, the market is also inclined by lack of skilled workforce, rising adoption of AI chips in the developing regions, and development of smarter robots. Each of these factors are projected to have a definite impact on the artificial intelligence chip market size during the forecast period.

However, shortage of skilled workforce is one of the major restraining factor of the artificial intelligence chip market.

Market Players:

AI Chip market consist of various players, few key players of the market are AMD (Advanced Micro Devices), Google, Inc., Intel Corporation, NVIDIA, Baidu, Graphcore, Qualcomm, Adapteva, UC-Davis, Mythic and others.

The AI Chip market is classified into application, chip type, industry vertical, technology and region. Based on the chip type, the market is bifurcated into Graphical Processing Unit (GPU), Field-Programmable Gate Array (FPGA), Application-Specific Integrated Circuit (ASIC), Central Processing Unit (CPU), and others. Moreover, on the basis of application the market is segmented into machine learning, robotic process automation, natural language processing (NLP), speech recognition, and others.

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Further, Based on the region the market is classified into North America, Europe, APAC, Latin America and Middle East & Africa. North America is expected to dominate the AI Chip market throughout the forecast period due to rising technological advancements and increased adoption of AI Chip applications across various industry verticals.

Market segmented based on chip type:

  • Graphical Processing Unit (GPU)
  • Field-Programmable Gate Array (FPGA)
  • Application-Specific Integrated Circuit (ASIC)
  • Central Processing Unit (CPU)
  • Others

Market segmented based on application:

  • Machine learning
  • Deep learning (Image recognition, Computer vision)
  • Predictive analysis
  • Others

 

  • Natural language processing (NLP)
  • Translation
  • Classification & clustering
  • Information extraction
  • Robotic process automation
  • Speech recognition
  • Speech to text
  • Text to speech
  • Others (Expert systems, planning, scheduling)

Market segmented based on technology:

  • System-on-chip (SoC)
  • System-in-package (SIP)
  • Multi-chip module
  • Others

Market segmented based on industry vertical:

  • Media & advertising
  • BFSI
  • IT & telecom
  • Retail
  • Healthcare
  • Automotive & transportation
  • Others

Market segmented based on region:

  • North America
  • US
  • Canada
  • Mexico
  • Europe
  • UK
  • Germany
  • France
  • Rest of Europe
  • Asia-Pacific
  • China
  • Japan
  • India
  • Australia
  • Rest of Asia-Pacific
  • Latin America
  • Brazil
  • Rest of Latin America
  • Middle East and Africa (MEA)
  • South Africa
  • Saudi Arabia
  • Rest of MEA

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