North America Deep Learning Chipset Market Size Report 2025

North America Deep Learning Chipset Market By type (GPU, ASIC, CPU, FPGA and Others) By Technology (System-on-chip (SoC), System-in-package (SIP) and Multi-chip module and Others) By End User (Consumer Electronics, Industrial, Aerospace & Defense, Healthcare, Automotive and Others) By Country, Industry Analysis and Forecast, 2019 - 2025

Published Date: February-2020 | Number of Pages: 124 | Format: PDF | Report ID: KBV-12773

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Market Report Description

The North America Deep Learning Chipset Market would witness market growth of 35.4% CAGR during the forecast period (2019-2025). With the increasing need to streamline large volumes of data (training) and computational responses (interference), there has been an exponential growth in demand for highly advanced deep-learning chipsets. Many deep learning chipsets have been created for use in data centers around the world. Nonetheless, the trend is expected to eventually shift as stakeholders in the deep learning chipset market plan to perform most of the processing at the edge of and closer to the sensor arrays. AI businesses are investing their resources for developing chipset-based deep learning technologies. Although deep learning chipsets will persist to be adopted in data centers, it is expected that AI processing will be used in devices of the next generation, such as security cameras, smartphones, drones, etc.

Deep learning is anticipated to drive Artificial Intelligence (AI) adoption in various companies. It's an undeniable fact that deep learning is the major driving force and the most important path to artificial intelligence (AI). Increasingly sophisticated video technology is revolutionizing the global security industry and helping in the struggle against crime. Developing artificial intelligence (AI) especially towards deep learning would create a remarkable significance in the coming years, at least in video surveillance systems, in relation to proactive security systems. Such factors are expected to boost the deep learning chipset market over the forecast period.

Based on type, the market is segmented into GPU, ASIC, CPU, FPGA and Others. Based on Technology, the market is segmented into System-on-chip (SoC), System-in-package (SIP) and Multi-chip module & Others. Based on End User, the market is segmented into Consumer Electronics, Industrial, Aerospace & Defense, Healthcare, Automotive and Others. Based on countries, the market is segmented into U.S., Mexico, Canada, and Rest of North America.

Free Valuable Insights: Deep Learning Chipset Market in North America is expected to register a CAGR of 35.4% during the forecast period (2019-2025)

The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Samsung Electronics Co., Ltd. (Samsung Group), Microsoft Corporation, Intel Corporation, Nvidia Corporation, IBM Corporation, Google, Inc.,, Inc. (Amazon Web Services), Qualcomm, Inc., Advanced Micro Devices, Inc., and Xilinx, Inc.

Scope of the Deep Learning Chipset Market Analysis

Market Segmentation:

By Compute Capacity

  • High
  • Low

By Type

  • GPU
  • ASIC
  • CPU
  • FPGA
  • Others

By Technology

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

By End User

  • Consumer Electronics
  • Industrial
  • Aerospace & Defense
  • Healthcare
  • Automotive
  • Others

By Country

  • US
  • Canada
  • Mexico
  • Rest of North America

Companies Profiled

  • Samsung Electronics Co., Ltd. (Samsung Group)
  • Microsoft Corporation
  • Intel Corporation
  • Nvidia Corporation
  • IBM Corporation
  • Google, Inc.
  • com, Inc. (Amazon Web Services)
  • Qualcomm, Inc.
  • Advanced Micro Devices, Inc.
  • Xilinx, Inc.

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