US Generative AI Chips Market Size | 2019-2032

US Generative AI Chips Market Size and Forecast by Type, Node Type, End User Application, and Distribution Channel: 2019-2032

Report Format:     | Pages: 110+
Type: Niche Industry Monitor | ID: AI42747  | Publication: July 2024  |  US$925  |  

US Generative AI Chips Market Growth and Performance


  • In 2023, the US generative AI chips market size represented US$ X.12 Billion, grew by XX.6% compared to previous year.
  • This market is projected to register a compound annual growth rate (CAGR) of XX.1% from 2024 to 2032, resulting in a forecasted market value of US$ XX.37 Billion by the end of 2032.
  • When compared at a segmental level, in the US, generative AI GPUs segment generated the highest revenue in 2023.
  • In the US generative AI chips market, the largest end user sector will be XX, with a projected market value of US$ XX.29 Billion by 2032.

US Generative AI Chips Market Outlook

The advent of generative AI has revolutionized various industries, from healthcare to finance, by automating complex tasks and generating sophisticated content. At the heart of this technological breakthrough are generative AI chips, designed to handle the intensive computational demands of AI models. The adoption of these chips in the United States has been rapid, driven by the need for enhanced AI capabilities and the country's robust technological infrastructure. This is driving growth of the US generative AI chips market. Further, the shift towards edge computing is boosting the demand for generative AI chips. By processing data locally, these chips enhance real-time decision-making and reduce latency, critical for applications in autonomous vehicles and IoT devices.

End user enterprises are increasingly seeking tailored AI solutions to meet their specific needs. This trend is leading to the development of specialized generative AI chips designed for particular applications, such as natural language processing or computer vision. This boosting generative AI market growth in the US. Additionally, ongoing research and development in AI are expected to yield more efficient and powerful generative AI chips. These advancements will make AI technology more accessible and affordable for a broader range of industries.

 

US Generative AI Chips Market Trends

  • Federal and state governments in the country are increasingly recognizing the importance of AI technology. Initiatives aimed at promoting AI research and development, such as funding and tax incentives, will likely boost the adoption of generative AI chips.
  • Major tech companies in the US generative AI chips market are pouring resources into the development of advanced GenAI chips. For example, NVIDIA, Intel, and AMD are leading the charge in the US, driving innovation and pushing the boundaries of what AI can achieve. Moreover, to overcome technological and financial barriers, companies are forming strategic partnerships in the country. These collaborations are fostering innovation and accelerating the deployment of generative AI chips across various sectors.
  • The adoption of generative AI chips in the United States is on an upward trajectory, driven by technological advancements, increased investment, and strategic collaborations. While challenges remain, the potential benefits of AI technology are too significant to ignore. As the U.S. continues to lead in AI innovation, the widespread adoption of generative AI chips will play a crucial role in shaping the future of various industries, driving economic growth, and maintaining the country's competitive edge in the global market.

 

US Generative AI Chips Market Scope

Analysis Period

2019-2032

 

 

Actual Data

2019-2023

 

 

Base Year

2023

 

 

Estimated Year

2024

 

 

CAGR Period

2024-2032

 

 

 

Research Scope

 

 

Type

Generative AI GPUs

 

 

Generative AI TPUs

 

 

Generative AI ASICs

 

 

Generative AI FPGAs

 

 

Generative AI Neuromorphic Chips

 

 

Node Type

Advanced Node

 

 

Mid-range Node

 

 

Legacy Node

 

 

End User Application

Consumer Electronics

 

 

Automotive

 

 

Industrial

 

 

Telecommunications

 

 

Healthcare

 

 

Aerospace & Defense

 

 

Energy

 

 

Data Processing

 

 

Distribution Channel

Direct Sales

 

 

Distributors and Resellers

 

 

Online Marketplaces

 

 

Orchestration Platform

 Kubernetes

 

 

 Docker Swarm

 

 

 Apache Mesos

 

 

 OpenShift

 

 

 Rancher

 

 

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