Demand for Fast Computation and the Growing Investment in AI Drive Momentum in the Deep Learning Chip Market

After years of focus on software development, the technology industry reinvented the importance of semiconductors as it recognizes the significant role that artificial intelligence (AI) chips play in the growing market of AI.

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The market for Deep Learning chips is driven by the surge in demand for smart homes and smart cities, a considerable growth in AI startups, and the emergence of quantum computing. According to Allied Market Research, the global deep learning chip market is projected to reach $29,368.0 million by 2025, growing at a CAGR of 39.9% from 2018 to 2025.

Also known as AI accelerators, AI chips are processors that perform AI-based calculations and other tasks vey fast. The machine learning technology that the chips are built with renders exceptional computing power for training algorithms and running applications that traditional computer chips cannot provide. The range of innovative AI-optimized chipset architectures is constantly expanding with several startups and well-established chip companies launching impressive hardware architectures optimized for machine learning, natural language processing, deep learning, and other areas of AI.

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Comprehensive and Competetive Analysis of Dominating Market Players

•AMD (Advanced Micro Devices)
•Google, Inc.
•Intel Corporation
•NVIDIA
•Baidu
•Bitmain Technologies
•Qualcomm
•Amazon
•Xilinx
•Samsung

This report provides a comprehensive analysis of

-Top impacting Growth Factors
-Competitive Analysis of Leading Market Players
-Current and Future Market Trends
-Market Segmentation
-Revenue Estimation by 2025

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Chief among the new AI chip architectures include graphics processing units (GPUs), application-specific integrated circuits (ASICs), neural network processing units (NNPUs), field-programmable gate arrays (FPGAs), and central processing units (CPUs).

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