Asia Pacific Deep Learning Chip Market Key Players and Opportunities by 2027

Historic Data: 2016-2017   |   Base Year: 2018   |   Forecast Period: 2019-2027

Asia Pacific Deep Learning Chip Market to 2027 - Regional Analysis and Forecasts by Chip Type (GPU, ASIC, FPGA, CPU, Others); Technology (System - on - Chip, System - in - Package, Multi - chip Module, Others); Industry Vertical (Media & Advertising, BFSI, IT & Telecom, Retail, Healthcare, Automotive & Transportation, and Others)

  • Report Date : Jan 2020
  • Report Code : TIPRE00008602
  • Category : Electronics and Semiconductor
  • Status : Published
  • Available Report Formats : pdf-format excel-format
  • No. of Pages : 120
Page Updated: Feb 2020

The deep learning chip market in Asia Pacific is expected to grow from US$ 372.0 Mn in 2018 to US$ 5,702.2 Mn by the year 2027 with a CAGR of 35.7% from the year 2019 to 2027.

Driving factor such as the rising significance of quantum computing is propelling the growth of the deep learning chip market. Further, the growing adoption of deep learning chips mainly for edge devices is anticipated to propel the deep learning chip market growth in the near future. Quantum computing takes seconds to finish a calculation that would otherwise takes more time. Quantum computers are an innovative transformation of artificial intelligence, machine learning, and big data. Therefore, prominence of quantum computing is expected to drive the growth of deep learning chip market. Furthermore, quantum computing is beneficial for various factors including, portfolio optimization, fraud detection and risk management, and the areas where immediate data feedback is required. In addition to that, quantum algorithms based on artificial intelligence and machine learning help empower businesses by identifying bidding strategies and trading opportunities for promotional advertisements. This helps to respond in the most efficient way to changes in consumer demand and changing market. The hybrid between classical and quantum driven software with the use of deep learning chip is expected to improve and enhance the quality of products and services in the future.

The deep learning chip market is segmented on the basis of industry vertical into media & advertising, BFSI, IT & telecom, retail, healthcare, automotive & transportation, and others. Artificial intelligence allows businesses to prioritize and automate decision making, analyze big complex structured and unstructured data to provide deeper insights, and improve efficiency by accurate planning. Industry verticals such as banking and retail generates huge amount of data ranging from operations data to customer feedbacks. Availability of huge data is a perfect condition for application of deep learning chip technology in various business processes. During the forecast period of 2019 to 2027, the BFSI segment is anticipated to be the largest contributor in the deep learning chip market and is anticipated to continue its dominance during the forest period.

The China dominated the deep learning chip market in 2018 and is expected to dominate the market with the highest share in the Asia Pacific region through the forecast period. The creation of China’s first “national laboratory for deep learning,” was initiated in Beijing in a move that could help the country surpass the US in developing AI. In 2017, The National Development and Reform Commission (NDRC) approved the plan to open up a national engineering lab for researching and implementing deep learning technologies. China is at the forefront of new and emerging technologies such as AI, and the adoption and implementation rate of AI is high across all major industry verticals. The government is keen in maintaining China’s stronghold and competitiveness, especially in the adoption of advanced technologies. The above-mentioned factors are, therefore, contributing to the growth of the deep learning chip market in the country. The figure given below highlights the revenue share of the rest of Asia Pacific in the deep learning chip market in the forecast period:

Rest of Asia Pacific Deep Learning Chip Market Revenue and Forecasts to 2027 (US$ Mn)

Rest of Asia Pacific Deep Learning Chip Market
  • This FREE sample will include data analysis, ranging from market trends to estimates and forecasts.

ASIA PACIFIC DEEP LEARNING CHIP - MARKET SEGMENTATION

ASIA PACIFIC DEEP LEARNING CHIP - By Chip Type

  • GPU
  • ASIC
  • FPGA
  • CPU
  • Others


ASIA PACIFIC DEEP LEARNING CHIP - By Technology

  • System-on-Chip
  • System-in-Package
  • Multi-chip Module
  • Others


ASIA PACIFIC DEEP LEARNING CHIP - By Industry Vertical

  • Media & Advertising
  • BFSI
  • IT & Telecom
  • Retail
  • Healthcare
  • Automotive & Transportation
  • Others


ASIA PACIFIC DEEP LEARNING CHIP - By Country

  • Australia
  • China
  • India
  • Japan
  • South Korea
  • Rest of APAC


Deep Learning Chip Market - Companies Mentioned

  • Advanced Micro Devices, Inc.
  • Amazon.com, Inc.
  • Huawei Technologies Co., Ltd.
  • Baidu, Inc.
  • Alphabet Inc. (Google)
  • Intel Corporation
  • NVIDIA Corporation
  • Qualcomm Technologies, Inc.
  • Samsung Electronics Co. Ltd.
  • Xilinx Inc.

Asia Pacific Deep Learning Chip Report Scope

Report Attribute Details
Market size in 2018 US$ 372.0 Million
Market Size by 2027 US$ 5,702.2 Million
Global CAGR (2019 - 2027) 35.7%
Historical Data 2016-2017
Forecast period 2019-2027
Segments Covered By Chip Type
  • GPU
  • ASIC
  • FPGA
  • CPU
By Technology
  • System - on - Chip
  • System - in - Package
  • Multi - chip Module
By Industry Vertical
  • Media & Advertising
  • BFSI
  • IT & Telecom
  • Retail
  • Healthcare
  • Automotive & Transportation
Regions and Countries Covered Asia-Pacific
  • China
  • India
  • Japan
  • Australia
  • Rest of Asia-Pacific
Market leaders and key company profiles
  • Advanced Micro Devices, Inc.
  • Amazon.com, Inc.
  • Huawei Technologies Co., Ltd.
  • Baidu, Inc.
  • Alphabet Inc. (Google)
  • Intel Corporation
  • NVIDIA Corporation
  • Qualcomm Technologies, Inc.
  • Samsung Electronics Co. Ltd.
  • Naveen Chittaragi
    Associate Vice President,
    Market Research & Consulting

    Naveen is an experienced market research and consulting professional with over 9 years of expertise across custom, syndicated, and consulting projects. Currently serving as Associate Vice President, he has successfully managed stakeholders across the project value chain and has authored over 100 research reports and 30+ consulting assignments. His work spans across industrial and government projects, contributing significantly to client success and data-driven decision-making.

    Naveen holds an Engineering degree in Electronics & Communication from VTU, Karnataka, and an MBA in Marketing & Operations from Manipal University. He has been an active IEEE member for 9 years, participating in conferences, technical symposiums, and volunteering at both section and regional levels. Prior to his current role, he worked as an Associate Strategic Consultant at IndustryARC and as an Industrial Server Consultant at Hewlett Packard (HP Global).

    • Historical Analysis (2 Years), Base Year, Forecast (7 Years) with CAGR
    • PEST and SWOT Analysis
    • Market Size Value / Volume - Global, Regional, Country
    • Industry and Competitive Landscape
    • Excel Dataset

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