The Latin America, Middle East and Africa Deep Learning Chipset Market is expected to witness market growth of 39.8% CAGR during the forecast period (2019-2025).
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 is expected to 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.
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.
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 Brazil, Argentina, UAE, Saudi Arabia, South Africa, Nigeria, and Rest of LAMEA.
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
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 is expected to 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.
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.
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 Brazil, Argentina, UAE, Saudi Arabia, South Africa, Nigeria, and Rest of LAMEA.
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
- Brazil
- Argentina
- UAE
- Saudi Arabia
- South Africa
- Nigeria
- Rest of LAMEA
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. LAMEA Deep Learning Chipset Market by Compute Capacity
Chapter 5. LAMEA Deep Learning Chipset Market by Type
Chapter 6. LAMEA Deep Learning Chipset Market by Technology
Chapter 7. LAMEA Deep Learning Chipset Market by Industry Vertical
Chapter 8. LAMEA 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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