The Europe Deep Learning Chipset Market is expected to 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.
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., Amazon.com, Inc. (Amazon Web Services), Qualcomm, Inc., Advanced Micro Devices, Inc., and Xilinx, Inc.
Scope of the Study
Market Segmentation:
By Compute Capacity
By Type
By Technology
By End User
By Country
Companies Profiled
Unique Offerings from the Publisher
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.
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., Amazon.com, Inc. (Amazon Web Services), Qualcomm, Inc., Advanced Micro Devices, Inc., and Xilinx, Inc.
Scope of the Study
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.
- Amazon.com, Inc. (Amazon Web Services)
- Qualcomm, Inc.
- Advanced Micro Devices, Inc.
- Xilinx, Inc.
Unique Offerings from the Publisher
- Exhaustive coverage
- Highest number of market tables and figures
- Subscription based model available
- Guaranteed best price
- Assured post sales research support with 10% customization free
Table of Contents
Chapter 1. Market Scope & Methodology
Chapter 2. Market Overview
Chapter 3. Competition Analysis - Global
Chapter 4. Europe Deep Learning Chipset Market by Compute Capacity
Chapter 5. Europe Deep Learning Chipset Market by Type
Chapter 6. Europe Deep Learning Chipset Market by Technology
Chapter 7. Europe Deep Learning Chipset Market by Industry Vertical
Chapter 8. Europe Deep Learning Chipset Market by Country
Chapter 9. Company Profiles
Companies Mentioned
- Samsung Electronics Co., Ltd. (Samsung Group)
- Microsoft Corporation
- Intel Corporation
- Nvidia Corporation
- IBM Corporation
- Google, Inc.
- Amazon.com, Inc. (Amazon Web Services)
- Qualcomm, Inc.
- Advanced Micro Devices, Inc.
- Xilinx, Inc.
Methodology
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