AI Chip Market Set for Rapid Growth on $335B Forecast

BTAIDTBG · DE· openpr.com

DataM Intelligence forecasts the AI chip market expanding from US$25.12 billion in 2022 to US$335.02 billion by 2031 (CAGR 38.41%), powered by GPUs, ASICs and FPGAs used in cloud, edge and embedded AI applications.

Key points

  • Report forecasts AI chip market growth from US$25.12 billion (2022) to US$335.02 billion (2031) at 38.41% CAGR.
  • Segments include GPU, ASIC, FPGA, CPU types; cloud vs. edge processing; and packaging tech like SoC, SiP, MCM.
  • Leading players: Intel, AMD, NVIDIA, Google, Samsung, Qualcomm and challengers such as Tenstorrent.

Why it matters: A nearly 13-fold market expansion underscores AI hardware’s pivotal role in powering next-generation intelligent services, smart devices and high-performance research applications.

Q&A

  • What is an AI chip?
  • Why is the market CAGR so high?
  • How do U.S. tariffs affect the AI chip market?
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Academy

Artificial Intelligence Chips

Artificial Intelligence (AI) chips are specialized semiconductors designed to accelerate tasks in machine learning and neural networks. Unlike general-purpose CPUs, AI chips—such as Graphics Processing Units (GPUs), Application-Specific Integrated Circuits (ASICs) and Field Programmable Gate Arrays (FPGAs)—offer parallel computing architectures optimized for high-speed matrix operations and data-intensive workloads.

In the realm of longevity research, AI chips enable rapid analysis of large biological datasets, complex simulations of cellular processes and deep learning models for biomarker discovery. They power computational tools that predict protein structures, screen geroprotective compounds and model aging pathways, drastically reducing computation time from days to hours.

Key components:

  • GPUs: Deliver massive parallelism for training deep neural networks.
  • ASICs: Provide custom acceleration for specific AI algorithms with maximum energy efficiency.
  • FPGAs: Offer hardware reconfigurability to adapt to evolving AI models.

As longevity science generates increasingly large datasets—from multi-omics profiling to high-resolution imaging—AI chips play a critical role in transforming raw data into actionable insights, supporting breakthroughs in understanding aging mechanisms and guiding the development of anti-aging therapies.

Artificial Intelligence (AI) Chip Market is expected to reach US$ 335.02 billion by 2031 | MediaTek Inc, Google, Samsung Electronics Co Ltd, Qualcomm Technologies Inc, Alphabet Inc

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