Europe Deep Learning Chipset Market Size & Forecast 2025

Europe 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: 137 | Format: PDF | Report ID: KBV-12771

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Market Report Description

The Europe Deep Learning Chipset Market would witness market growth of 36.1% CAGR during the forecast period (2019-2025). Significant improvements in machine learning algorithms and developments in deep learning chipsets are accelerating growth of the industry. Accelerated advancements in fast information storage capacity, high computing power, and parallelization have led to the gradual utilization of the deep learning technology in end-use industries like automotive and healthcare. In addition, the need for enterprise-wide understanding and analysis of visual content to gain substantive insights is projected to provide the industry with momentum over the forecast period. The increasing popularity of accelerated applications for the Graphics Processing Unit (GPU) leads to increased technology adoption in scientific disciplines such as deep learning and data science. Organizations are using deep learning neural networks to derive valuable insights from huge amounts of data to deliver innovative products and improve customer experience; thereby raising opportunities for revenues.

Deep learning acts as a brain that has entered a number of industries around the world. This technological efficiency can be achieved with software like voice recognition, computer vision, speech synthesis, game play, machine translation, drug discovery, and robotics. Deep learning chips are specialized Silicon chips which integrate AI technology and machine learning. The emergence of quantum computing and increased implementation of deep learning chips in robotics significantly drives the growth of the global deep learning chip market. Furthermore, the advent of autonomous robotics-robots which develop and control themselves autonomously-is expected to provide the market with significant opportunities for growth. Dearth of skilled labour, however, is one of the market's main limitations. Most of the tasks are conducted over by deep learning chips, like bug fixing, testing, cloud implementation, and others; nevertheless, the delivery of such tasks lacks essential skillsets.

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 Germany, UK, France, Russia, Spain, Italy, and Rest of Europe.

Free Valuable Insights: Deep Learning Chipset Market in Europe is expected to register a CAGR of 36.1% 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

  • Germany
  • UK
  • France
  • Russia
  • Spain
  • Italy
  • Rest of Europe

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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