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Asia Pacific Deep Learning Chipset Market, by Type, by Technology, by End User, by Country, Industry Analysis and Forecast, 2019 - 2025

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    Report

  • 139 Pages
  • February 2020
  • Region: Asia Pacific
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 5006188
The Asia Pacific Deep Learning Chipset Market is expected to witness market growth of 39.2% 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 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.

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 China, Japan, India, South Korea, Singapore, Malaysia, and Rest of Asia Pacific.

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
  • China
  • Japan
  • India
  • South Korea
  • Singapore
  • Malaysia
  • Rest of Asia Pacific

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
1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 Asia Pacific Deep Learning Chipset Market, by Compute Capacity
1.4.2 Asia Pacific Deep Learning Chipset Market, by Type
1.4.3 Asia Pacific Deep Learning Chipset Market, by Technology
1.4.4 Asia Pacific Deep Learning Chipset Market, by End User
1.4.5 Asia Pacific Deep Learning Chipset Market, by Country
1.5 Methodology for the research
Chapter 2. Market Overview
2.1 Introduction
2.1.1 Overview
2.1.2 Executive Summary
2.1.3 Market Composition and Scenario
2.2 Key Factors Impacting the Market
2.2.1 Market Drivers
2.2.2 Market Restraints
Chapter 3. Competition Analysis - Global
3.1 Cardinal Matrix
3.2 Recent Industry Wide Strategic Developments
3.2.1 Partnerships, Collaborations and Agreements
3.2.2 Product Launches and Product Expansions
3.2.3 Mergers & Acquisitions
3.3 Top Winning Strategies
3.3.1 Key Leading Strategies: Percentage Distribution (2015-2019)
3.3.2 Key Strategic Move: (Product Launches and Product Expansions : 2019-Dec - 2017-Aug) Leading Players
Chapter 4. Asia Pacific Deep Learning Chipset Market by Compute Capacity
4.1 Asia Pacific Deep Learning Chipset High Market by Country
4.2 Asia Pacific Deep Learning Chipset Low Market by Country
Chapter 5. Asia Pacific Deep Learning Chipset Market by Type
5.1 Asia Pacific GPU Deep Learning Chipset Market by Country
5.2 Asia Pacific ASIC Deep Learning Chipset Market by Country
5.3 Asia Pacific CPU Deep Learning Chipset Market by Country
5.4 Asia Pacific FPGA Deep Learning Chipset Market by Country
5.5 Asia Pacific Other Type Deep Learning Chipset Market by Country
Chapter 6. Asia Pacific Deep Learning Chipset Market by Technology
6.1 Asia Pacific Deep Learning Chipset System-on-chip (SoC) Market by Country
6.2 Asia Pacific Deep Learning Chipset System-in-package (SIP) Market by Country
6.3 Asia Pacific Deep Learning Chipset Multi-chip module & Others Market by Country
Chapter 7. Asia Pacific Deep Learning Chipset Market by Industry Vertical
7.1 Asia Pacific Consumer Electronics Deep Learning Chipset Market by Country
7.2 Asia Pacific Industrial Deep Learning Chipset Market by Country
7.3 Asia Pacific Aerospace & Defense Deep Learning Chipset Market by Country
7.4 Asia Pacific Healthcare Deep Learning Chipset Market by Country
7.5 Asia Pacific Automotive Deep Learning Chipset Market by Country
7.6 Asia Pacific Others Deep Learning Chipset Market by Country
Chapter 8. Asia Pacific Deep Learning Chipset Market by Country
8.1 China Deep Learning Chipset Market
8.1.1 China Deep Learning Chipset Market by Compute Capacity
8.1.2 China Deep Learning Chipset Market by Type
8.1.3 China Deep Learning Chipset Market by Technology
8.1.4 China Deep Learning Chipset Market by Industry Vertical
8.2 Japan Deep Learning Chipset Market
8.2.1 Japan Deep Learning Chipset Market by Compute Capacity
8.2.2 Japan Deep Learning Chipset Market by Type
8.2.3 Japan Deep Learning Chipset Market by Technology
8.2.4 Japan Deep Learning Chipset Market by Industry Vertical
8.3 India Deep Learning Chipset Market
8.3.1 India Deep Learning Chipset Market by Compute Capacity
8.3.2 India Deep Learning Chipset Market by Type
8.3.3 India Deep Learning Chipset Market by Technology
8.3.4 India Deep Learning Chipset Market by Industry Vertical
8.4 South Korea Deep Learning Chipset Market
8.4.1 South Korea Deep Learning Chipset Market by Compute Capacity
8.4.2 South Korea Deep Learning Chipset Market by Type
8.4.3 South Korea Deep Learning Chipset Market by Technology
8.4.4 South Korea Deep Learning Chipset Market by Industry Vertical
8.5 Singapore Deep Learning Chipset Market
8.5.1 Singapore Deep Learning Chipset Market by Compute Capacity
8.5.2 Singapore Deep Learning Chipset Market by Type
8.5.3 Singapore Deep Learning Chipset Market by Technology
8.5.4 Singapore Deep Learning Chipset Market by Industry Vertical
8.6 Malaysia Deep Learning Chipset Market
8.6.1 Malaysia Deep Learning Chipset Market by Compute Capacity
8.6.2 Malaysia Deep Learning Chipset Market by Type
8.6.3 Malaysia Deep Learning Chipset Market by Technology
8.6.4 Malaysia Deep Learning Chipset Market by Industry Vertical
8.7 Rest of Asia Pacific Deep Learning Chipset Market
8.7.1 Rest of Asia Pacific Deep Learning Chipset Market by Compute Capacity
8.7.2 Rest of Asia Pacific Deep Learning Chipset Market by Type
8.7.3 Rest of Asia Pacific Deep Learning Chipset Market by Technology
8.7.4 Rest of Asia Pacific Deep Learning Chipset Market by Industry Vertical
Chapter 9. Company Profiles
9.1 Samsung Electronics Co., Ltd. (Samsung Group)
9.1.1 Company Overview
9.1.2 Financial Analysis
9.1.3 Segmental and Regional Analysis
9.1.4 Research & Development Expense
9.1.5 Recent strategies and developments:
9.1.5.1 Partnerships, Collaborations, and Agreements:
9.1.5.2 Product Launches and Product Expansions:
9.1.6 SWOT Analysis
9.2 Microsoft Corporation
9.2.1 Company Overview
9.2.2 Financial Analysis
9.2.3 Segmental and Regional Analysis
9.2.4 Research & Development Expenses
9.2.5 Recent strategies and developments:
9.2.5.1 Partnerships, Collaborations, and Agreements:
9.2.5.2 Product Launches and Product Expansions:
9.2.6 SWOT Analysis
9.3 Intel Corporation
9.3.1 Company Overview
9.3.2 Financial Analysis
9.3.3 Segmental and Regional Analysis
9.3.4 Research & Development Expenses
9.3.5 Recent strategies and developments:
9.3.5.1 Product Launches and Product Expansions:
9.3.5.2 Acquisition and Mergers:
9.3.6 SWOT Analysis
9.4 Nvidia Corporation
9.4.1 Company Overview
9.4.2 Financial Analysis
9.4.3 Segmental and Regional Analysis
9.4.4 Research & Development Expense
9.4.5 Recent strategies and developments:
9.4.5.1 Partnerships, Collaborations, and Agreements:
9.4.5.2 Product Launches and Product Expansions:
9.4.6 SWOT Analysis
9.5 IBM Corporation
9.5.1 Company Overview
9.5.2 Financial Analysis
9.5.3 Regional & Segmental Analysis
9.5.4 Research & Development Expenses
9.5.5 Recent strategies and developments:
9.5.5.1 Partnerships, Collaborations, and Agreements:
9.5.5.2 Product Launches and Product Expansions:
9.5.6 SWOT Analysis
9.6 Google, Inc.
9.6.1 Company Overview
9.6.2 Financial Analysis
9.6.3 Segmental and Regional Analysis
9.6.4 Research & Development Expense
9.6.5 Recent strategies and developments:
9.6.5.1 Product Launches and Product Expansions:
9.6.6 SWOT Analysis
9.7 Amazon.com, Inc. (Amazon Web Services)
9.7.1 Company Overview
9.7.2 Financial Analysis
9.7.3 Segmental and Regional Analysis
9.7.4 Recent strategies and developments:
9.7.4.1 Partnerships, Collaborations, and Agreements:
9.7.4.2 Product Launches and Product Expansions:
9.7.5 SWOT Analysis
9.8 Qualcomm, Inc.
9.8.1 Company Overview
9.8.2 Financial Analysis
9.8.3 Segmental and Regional Analysis
9.8.4 Research & Development Expense
9.8.5 Recent strategies and developments:
9.8.5.1 Partnerships, Collaborations, and Agreements:
9.8.5.2 Product Launches and Product Expansions:
9.8.6 SWOT Analysis
9.9 Advanced Micro Devices, Inc.
9.9.1 Company Overview
9.9.2 Financial Analysis
9.9.3 Segmental and Regional Analysis
9.9.4 Research & Development Expenses
9.9.5 Recent strategies and developments:
9.9.5.1 Partnerships, Collaborations, and Agreements:
9.9.5.2 Product Launches and Product Expansions:
9.9.5.3 Acquisition and Mergers:
9.1 Xilinx, Inc.
9.10.1 Company Overview
9.10.2 Financial Analysis
9.10.3 Regional Analysis
9.10.4 Research & Development Expense
9.10.5 Recent strategies and developments:
9.10.5.1 Partnerships, Collaborations, and Agreements:
9.10.5.2 Product Launches and Product Expansions:
9.10.5.3 Acquisition and Mergers:

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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