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2021
Deep Learning Chip Market

Deep Learning Chip Market By Chip Type (GPU, ASIC, FPGA, CPU, Others), Technology (System on Chip, System in Package, Multi Chip Module and Others), and Industry Vertical (Media & Advertising, BFSI, IT & Telecommunication, Retail, Healthcare, Automotive, Others): Global Opportunity Analysis and Industry Forecast, 2021–2030

A02226
Pages: 275
Aug 2021 | 11657 Views
   
Author(s) : Sachin Wankhede
Tables: 118
Charts: 73
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COVID-19

Pandemic disrupted the entire world and affected many industries.

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Deep Learning Chip Market Outlook - 2030

The deep learning chip market size was valued at $4,465.2 million in 2020, and is projected to reach $81,776.8 million by 2030, growing at a CAGR of 35.2% from 2021 to 2030.

The automotive segment impacted negatively, due to COVID-19.

Deep learning is a sub-set of machine learning, which is a sub-set of artificial intelligence (AI) that is achieved to perform tasks related to AI. Deep learning works as a brain, which has been penetrating in several industries around the world. This technology is achieved with software, such as computer vision, voice recognition, speech synthesis, machine translation, game playing, drug discovery, and robotics. Deep learning chips are specialized Silicon chips, which incorporate AI and machine learning technology.

Deep-Learning-Chip-Market-2021-2030

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Emergence of quantum computing and enhanced implementation of deep learning chips in robotics drive the growth of the global market. In addition, emergence of autonomous robots that develop and control themselves autonomously is anticipated to provide potential growth opportunities for the market. However, dearth of skilled workforce is one of the major restraints of the market. Most of the tasks, such as testing, bug fixing, cloud implementation, and others, are taken over by deep learning chips; however, delivery of such tasks lacks essential skillsets.

Segmentation

The deep learning chip market is segmented based on chip type, industry vertical, technology, and region. On the basis of chip type, the market is categorized into graphics processing unit (GPU), application-specific integrated circuit (ASIC), field-programmable gate array (FPGA), central processing unit (CPU), and others. On the basis of technology, the market is segmented into system-on-chip, system-in-package, multi-chip module, and others. On the basis of industry vertical, the market is divided into media & advertising, BFSI, IT & telecom, retail, healthcare, automotive & transportation, and others. By region, the market is studied across North America, Europe, Asia-Pacific and LAMEA.

Deep Learning Chip Market
By Chip Type

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FPGA segment will grow at a highest CAGR of 36.90% during 2021 - 2030.

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Competitive Analysis 

The key players operating in this market are AMD (Advanced Micro Devices), Google, Inc., Intel Corporation, NVIDIA, Baidu, Bitmain Technologies, Qualcomm, Amazon, Xilinx, and Samsung. These key players have adopted strategies, such as product portfolio expansion, mergers & acquisitions, agreements, regional expansion, and collaboration, to enhance their market penetration.

COVID-19 Impact Analysis

The ongoing spread of COVID-19 has become one of the biggest threats to the global economy and is causing widespread concerns and economic hardship for consumers, businesses, and communities across the globe. The “new normal” that includes social distancing and working from home has created challenges with daily activities, regular work, needs, and supplies, causing delayed initiatives and missed opportunities.

Deep Learning Chip Market
By Industry Vertical

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Automotive & Transportation segment would exhibit highest CAGR of 37.5% during 2021-2030

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The COVID-19 pandemic is impacting the society and overall economy across the globe. The impact of this outbreak is growing day-by-day as well as affecting the supply chain. It is creating uncertainty in the stock market, reducing business confidence, hampering the supply chain, and increasing panic among customers. European countries under lockdown have suffered a major loss of business and revenue due to shutdown of manufacturing units in the region. Operations of production and manufacturing industries have been heavily impacted by the deep learning chip market growth in 2020.

According to the deep learning chip market trends, the COVID-19 pandemic has severely impacted the manufacturing and industrial sectors as production facilities have stalled, which, in turn, leads to significant demand in industries. The emergence of COVID-19 has lowered the growth of the market in 2020. Nevertheless, the market is estimated to witness significant growth during the forecast period. 

Top Impacting Factors

Notable factors positively affecting the growth of the deep learning chip market include increase in demand for smart homes and smart cities. Deep learning provides impetus to initiate smart city programs in developing countries, such as India. Tools and technologies that are artificially intelligent possess a massive potential to transform interconnected digital homes and smart cities. Furthermore, creation of a chip that embeds inbuilt AI network has emerged as an opportunity for the market. Further, emergence of quantum computing and increase in number of AI applications boost the growth of the deep learning chip industry.

Deep Learning Chip Market
By Region

2030
North America 
Europe
Asia-pacific
Lamea

Asia-Pacific region would exhibit the highest CAGR of 37.1% during 2021-2030

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Key Benefits For Stakeholders

  • This study comprises analytical depiction of the deep learning chip market share along with the current trends and future estimations to depict imminent investment pockets.
  • The overall deep learning chip market analysis is determined to understand the profitable trends to gain a stronger foothold. 
  • The report presents information related to key drivers, restraints, and opportunities with a detailed impact analysis.
  • The present deep learning chip market forecast is quantitatively analyzed from 2020 to 2030 to benchmark the financial competency. 
  • Porter’s five forces analysis illustrates the potency of the buyers and the market share of key vendors.
  • The report includes the market trends and competitive analysis of key vendors operating in the deep learning chip market trends.


Key Market Segments

  • By Chip Type
    • GPU
    • ASIC
    • FPGA
    • CPU
    • OTHERS (NPU & HYBRID CHIP)
  • By Technology
    • System-on-chip (SoC)
    • System-in-package (SIP)
    • Multi-chip module
    • OTHERS (PACKAGE IN PACKAGE, TSV)
  • By Industry Vertical
    • Media & advertising
    • BFSI
    • IT & telecom
    • Retail
    • Healthcare
    • Automotive
    • Others
  • By Region
    • North America
      • U.S.
      • Canada
      • Mexico
    • EUROPE
      • U.K.
      • Germany
      • France
      • Russia
      • Rest of Europe
    • ASIA-PACIFIC
      • China
      • Japan
      • India
      • Australia
      • Rest of Asia-Pacific
    • LAMEA
      • Latin America
      • Middle East
      • Africa


Key Market Players

  • ALPHABET INC. (GOOGLE INC.)
  • AMAZON.COM, INC.
  • ADVANCED MICRO DEVICES, INC.
  • BAIDU, INC.
  • BITMAIN TECHNOLOGIES LTD.
  • INTEL CORPORATION
  • NVIDIA CORPORATION
  • QUALCOMM INCORPORATED
  • SAMSUNG ELECTRONICS CO. LTD.
  • XILINX, INC.
 

CHAPTER 1:INTRODUCTION

1.1.REPORT DESCRIPTION
1.2.KEY BENEFITS FOR STAKEHOLDERS
1.3.KEY MARKET SEGMENTS
1.4.RESEARCH METHODOLOGY

1.4.1.Primary research
1.4.2.Secondary research
1.4.3.Analyst tools and models

CHAPTER 2:EXECUTIVE SUMMARY

2.1.CXO PERSPECTIVE

CHAPTER 3:MARKET OVERVIEW

3.1.MARKET DEFINITION AND SCOPE
3.2.KEY FINDINGS

3.2.1.Top impacting factors
3.2.2.Top investment pockets
3.2.3.Top winning strategies

3.3.PORTER’S FIVE FORCES ANALYSIS

3.3.1.Moderate-to-high bargaining power of suppliers
3.3.2.Moderate-to-high threat of new entrants
3.3.3.Low-to-moderate threat of substitutes
3.3.4.High-to-moderate intensity of rivalry
3.3.5.High-to-moderate bargaining power of buyers

3.4.MARKET SHARE ANALYSIS (2020)
3.5.MARKET DYNAMICS

3.5.1.Drivers

3.5.1.1.Increase in demand for smart homes and smart cities
3.5.1.2.Rise in investments in AI startups
3.5.1.3.Emergence of quantum computing
3.5.1.4.Growth in number of AI applications

3.5.2.Restraints

3.5.2.1.Dearth of skilled workforce

3.5.3.Opportunities

3.5.3.1.Increased adoption of deep learning chips in the developing regions
3.5.3.2.Development of smarter robots

CHAPTER 4:DEEP LEARNING CHIP MARKET, BY CHIP TYPE

4.1.OVERVIEW
4.2.GPU

4.2.1.Key market trends, growth factors, and opportunities
4.2.2.Market size and forecast, by region
4.2.3.Market analysis, by country

4.3.ASIC

4.3.1.Key market trends, growth factors, and opportunities
4.3.2.Market size and forecast, by region
4.3.3.Market analysis, by country

4.4.FPGA

4.4.1.Key market trends, growth factors, and opportunities
4.4.2.Market size and forecast, by region
4.4.3.Market analysis, by country

4.5.CPU

4.5.1.Key market trends, growth factors, and opportunities
4.5.2.Market size and forecast, by region
4.5.3.Market analysis, by country

4.6.OTHERS (NPU AND HYBRID CHIP)

4.6.1.Key market trends, growth factors, and opportunities
4.6.2.Market size and forecast, by region
4.6.3.Market analysis, by country

CHAPTER 5:DEEP LEARNING CHIP MARKET, BY TECHNOLOGY

5.1.OVERVIEW
5.2.SYSTEM-ON-CHIP (SOC)

5.2.1.Key market trends, growth factors, and opportunities
5.2.2.Market size and forecast, by region
5.2.3.Market analysis, by country

5.3.SYSTEM-IN-PACKAGE (SIP)

5.3.1.Key market trends, growth factors, and opportunities
5.3.2.Market size and forecast, by region
5.3.3.Market analysis, by country

5.4.MULTI-CHIP MODULE

5.4.1.Key market trends, growth factors, and opportunities
5.4.2.Market size and forecast, by region
5.4.3.Market analysis, by country

5.5.OTHERS (PACKAGE IN PACKAGE, TSV)

5.5.1.Key market trends, growth factors, and opportunities
5.5.2.Market size and forecast, by region
5.5.3.Market analysis, by country

CHAPTER 6:DEEP LEARNING CHIP MARKET, BY INDUSTRY VERTICAL

6.1.OVERVIEW
6.2.MEDIA & ADVERTISING

6.2.1.Key market trends, growth factors and opportunities
6.2.2.Market size and forecast, by region
6.2.3.Market analysis, by country

6.3.BFSI

6.3.1.Key market trends, growth factors, and opportunities
6.3.2.Market size and forecast, by region
6.3.3.Market analysis, by country

6.4.IT & TELECOM

6.4.1.Key market trends, growth factors, and opportunities
6.4.2.Market size and forecast, by region
6.4.3.Market analysis, by country

6.5.RETAIL

6.5.1.Key market trends, growth factors, and opportunities
6.5.2.Market size and forecast, by region
6.5.3.Market analysis, by country

6.6.HEALTHCARE

6.6.1.Key market trends, growth factors, and opportunities
6.6.2.Market size and forecast, by region
6.6.3.Market analysis, by country

6.7.AUTOMOTIVE

6.7.1.Key market trends, growth factors, and opportunities
6.7.2.Market size and forecast, by region
6.7.3.Market analysis, by country

6.8.OTHERS

6.8.1.Key market trends, growth factors, and opportunities
6.8.2.Market size and forecast, by region
6.8.3.Market analysis, by country

CHAPTER 7:DEEP LEARNING CHIP MARKET, BY REGION

7.1.OVERVIEW
7.2.NORTH AMERICA

7.2.1.Key market trends, growth factors, and opportunities
7.2.2.Market size and forecast, by chip type
7.2.3.Market size and forecast, by technology
7.2.4.Market size and forecast, by industry vertical
7.2.5.Market analysis by country

7.2.5.1.U.S.

7.2.5.1.1.Market size and forecast, by chip type
7.2.5.1.2.Market size and forecast, by technology
7.2.5.1.3.Market size and forecast, by industry vertical

7.2.5.2.Canada

7.2.5.2.1.Market size and forecast, by chip type
7.2.5.2.2.Market size and forecast, by technology
7.2.5.2.3.Market size and forecast, by industry vertical

7.2.5.3.Mexico

7.2.5.3.1.Market size and forecast, by chip type
7.2.5.3.2.Market size and forecast, by technology
7.2.5.3.3.Market size and forecast, by industry vertical

7.3.EUROPE

7.3.1.Key market trends, growth factors, and opportunities
7.3.2.Market size and forecast, by chip type
7.3.3.Market size and forecast, by technology
7.3.4.Market size and forecast, by industry vertical
7.3.5.Market analysis by country

7.3.5.1.UK

7.3.5.1.1.Market size and forecast, by chip type
7.3.5.1.2.Market size and forecast, by technology
7.3.5.1.3.Market size and forecast, by industry vertical

7.3.5.2.Germany

7.3.5.2.1.Market size and forecast, by chip type
7.3.5.2.2.Market size and forecast, by technology
7.3.5.2.3.Market size and forecast, by industry vertical

7.3.5.3.France

7.3.5.3.1.Market size and forecast, by chip type
7.3.5.3.2.Market size and forecast, by technology
7.3.5.3.3.Market size and forecast, by industry vertical

7.3.5.4.Russia

7.3.5.4.1.Market size and forecast, by chip type
7.3.5.4.2.Market size and forecast, by technology
7.3.5.4.3.Market size and forecast, by industry vertical

7.3.5.5.Rest of Europe

7.3.5.5.1.Market size and forecast, by chip type
7.3.5.5.2.Market size and forecast, by technology
7.3.5.5.3.Market size and forecast, by industry vertical

7.4.ASIA-PACIFIC

7.4.1.Key market trends, growth factors, and opportunities
7.4.2.Market size and forecast, by chip type
7.4.3.Market size and forecast, by technology
7.4.4.Market size and forecast, by industry vertical
7.4.5.Market analysis by country

7.4.5.1.China

7.4.5.1.1.Market size and forecast, by chip type
7.4.5.1.2.Market size and forecast, by technology
7.4.5.1.3.Market size and forecast, by industry vertical

7.4.5.2.Japan

7.4.5.2.1.Market size and forecast, by chip type
7.4.5.2.2.Market size and forecast, by technology
7.4.5.2.3.Market size and forecast, by industry vertical

7.4.5.3.India

7.4.5.3.1.Market size and forecast, by chip type
7.4.5.3.2.Market size and forecast, by technology
7.4.5.3.3.Market size and forecast, by industry vertical

7.4.5.4.Australia

7.4.5.4.1.Market size and forecast, by chip type
7.4.5.4.2.Market size and forecast, by technology
7.4.5.4.3.Market size and forecast, by industry vertical

7.4.5.5.Rest of Asia-Pacific

7.4.5.5.1.Market size and forecast, by chip type
7.4.5.5.2.Market size and forecast, by technology
7.4.5.5.3.Market size and forecast, by industry vertical

7.5.LAMEA

7.5.1.Key market trends, growth factors, and opportunities
7.5.2.Market size and forecast, by chip type
7.5.3.Market size and forecast, by technology
7.5.4.Market size and forecast, by industry vertical
7.5.5.Market analysis, by country

7.5.5.1.Latin America

7.5.5.1.1.Market size and forecast, by chip type
7.5.5.1.2.Market size and forecast, by technology
7.5.5.1.3.Market size and forecast, by industry vertical

7.5.5.2.Middle East

7.5.5.2.1.Market size and forecast, by chip type
7.5.5.2.2.Market size and forecast, by technology
7.5.5.2.3.Market size and forecast, by industry vertical

7.5.5.3.Africa

7.5.5.3.1.Market size and forecast, by chip type
7.5.5.3.2.Market size and forecast, by technology
7.5.5.3.3.Market size and forecast, by industry vertical

CHAPTER 8:COMPANY PROFILES

8.1.ALPHABET, INC. (GOOGLE, INC.)

8.1.1.Company overview
8.1.2.Company snapshot
8.1.3.Operating business segments
8.1.4.Product portfolio
8.1.5.Business performance
8.1.6.Key strategic moves and developments
8.1.7.Technological insights and key architecture

8.2.AMAZON.COM, INC.

8.2.1.Company overview
8.2.2.Company snapshot
8.2.3.Operating business segments
8.2.4.Product portfolio
8.2.5.Business performance
8.2.6.Key strategic moves and developments
8.2.7.Technological insights and key architecture

8.3.ADVANCED MICRO DEVICES, INC.

8.3.1.Company overview
8.3.2.Company snapshot
8.3.3.Operating business segments
8.3.4.Product portfolio
8.3.5.Business performance
8.3.6.Key strategic moves and developments
8.3.7.Technological insights and key architecture

8.4.BAIDU, INC.

8.4.1.Company overview
8.4.2.Company snapshot
8.4.3.Operating business segments
8.4.4.Product portfolio
8.4.5.Business performance
8.4.6.Key strategic moves and developments
8.4.7.Technological insights and key architecture

8.5.BITMAIN TECHNOLOGIES LTD.

8.5.1.Company overview
8.5.2.Company snapshot
8.5.3.Product portfolio
8.5.4.Key strategic moves and developments
8.5.5.Technological insights and key architecture

8.6.INTEL CORPORATION

8.6.1.Company overview
8.6.2.Company snapshot
8.6.3.Operating business segments
8.6.4.Product portfolio
8.6.5.Business performance
8.6.6.Key strategic moves and developments
8.6.7.Technological insights and key architecture

8.7.NVIDIA CORPORATION

8.7.1.Company overview
8.7.2.Company snapshot
8.7.3.Operating business segments
8.7.4.Product portfolio
8.7.5.Business performance
8.7.6.Key strategic moves and developments
8.7.7.Technological insights and key architecture

8.8.QUALCOMM INCORPORATED

8.8.1.Company overview
8.8.2.Company snapshot
8.8.3.Operating business segments
8.8.4.Product portfolio
8.8.5.Business performance
8.8.6.Key strategic moves and developments
8.8.7.Technological insights and key architecture

8.9.SAMSUNG ELECTRONICS CO. LTD.

8.9.1.Company overview
8.9.2.Company snapshot
8.9.3.Operating business segments
8.9.4.Product portfolio
8.9.5.Business performance
8.9.6.Key strategic moves and developments
8.9.7.Technological insights and key architecture

8.10.XILINX, INC.

8.10.1.Company overview
8.10.2.Company snapshot
8.10.3.Operating business segments
8.10.4.Product portfolio
8.10.5.Business performance
8.10.6.Key strategic moves and developments
8.10.7.Technological insights and key architecture

LIST OF TABLES

TABLE 01.GLOBAL DEEP LEARNING CHIP MARKET, BY CHIP TYPE, 2020–2030($MILLION)
TABLE 02.DEEP LEARNING CHIP MARKET REVENUE FOR GPU, BY REGION 2020–2030 ($MILLION)
TABLE 03.DEEP LEARNING CHIP MARKET REVENUE FOR ASIC, BY REGION, 2020–2030 ($MILLION)
TABLE 04.DEEP LEARNING CHIP MARKET REVENUE FOR FPGA, BY REGION, 2020–2030 ($MILLION)
TABLE 05.DEEP LEARNING CHIP MARKET REVENUE FOR CPU, BY REGION, 2020–2030 ($MILLION)
TABLE 06.DEEP LEARNING CHIP MARKET REVENUE FOR OTHERS, BY REGION, 2020–2030 ($MILLION)
TABLE 07.GLOBAL DEEP LEARNING CHIP MARKET, BY TECHNOLOGY, 2020–2030($MILLION)
TABLE 08.DEEP LEARNING CHIP MARKET REVENUE FOR SYSTEM-ON-CHIP (SOC), BY REGION, 2020–2030 ($MILLION)
TABLE 09.DEEP LEARNING CHIP MARKET REVENUE FOR SYSTEM-IN-PACKAGE (SIP), BY REGION, 2020–2030 ($MILLION)
TABLE 10.DEEP LEARNING CHIP MARKET REVENUE FOR MULTI-CHIP MODULE, BY REGION, 2020–2030 ($MILLION)
TABLE 11.DEEP LEARNING CHIP MARKET REVENUE FOR OTHERS, BY REGION, 2020–2030 ($MILLION)
TABLE 12.GLOBAL DEEP LEARNING CHIP MARKET, BY INDUSTRY VERTICAL, 2020–2030 ($MILLION)
TABLE 13.DEEP LEARNING CHIP MARKET REVENUE FOR MEDIA & ADVERTISING, BY REGION, 2020–2030 ($MILLION)
TABLE 14.DEEP LEARNING CHIP MARKET REVENUE FOR BFSI, BY REGION, 2020–2030 ($MILLION)
TABLE 15.DEEP LEARNING CHIP MARKET REVENUE FOR IT & TELECOM, BY REGION, 2020–2030 ($MILLION)
TABLE 16.DEEP LEARNING CHIP MARKET REVENUE FOR RETAIL, BY REGION, 2020–2030 ($MILLION)
TABLE 17.DEEP LEARNING CHIP MARKET REVENUE FOR HEALTHCARE, BY REGION, 2020–2030 ($MILLION)
TABLE 18.DEEP LEARNING CHIP MARKET REVENUE FOR AUTOMOTIVE, BY REGION, 2020–2030 ($MILLION)
TABLE 19.DEEP LEARNING CHIP MARKET REVENUE FOR OTHERS, BY REGION, 2020–2030 ($MILLION)
TABLE 20.GLOBAL DEEP LEARNING CHIP MARKET, BY REGION, 2020–2030 ($MILLION)
TABLE 21.NORTH AMERICAN DEEP LEARNING CHIP MARKET, BY CHIP TYPE, 2020–2030 ($MILLION)
TABLE 22.NORTH AMERICAN DEEP LEARNING CHIP MARKET, BY TECHNOLOGY, 2020–2030 ($MILLION)
TABLE 23.NORTH AMERICAN DEEP LEARNING CHIP MARKET, BY INDUSTRY VERTICAL, 2020–2030 ($MILLION)
TABLE 24.U. S. DEEP LEARNING CHIP MARKET, BY CHIP TYPE, 2020–2030 ($MILLION)
TABLE 25.U. S. DEEP LEARNING CHIP MARKET, BY TECHNOLOGY, 2020–2030 ($MILLION)
TABLE 26.U.S. DEEP LEARNING CHIP MARKET, BY INDUSTRY VERTICAL, 2020–2030 ($MILLION)
TABLE 27.CANADA DEEP LEARNING CHIP MARKET, BY CHIP TYPE, 2020–2030 ($MILLION)
TABLE 28.CANADA DEEP LEARNING CHIP MARKET, BY TECHNOLOGY, 2020–2030 ($MILLION)
TABLE 29.CANADA DEEP LEARNING CHIP MARKET, BY INDUSTRY VERTICAL, 2020–2030 ($MILLION)
TABLE 30.MEXICO DEEP LEARNING CHIP MARKET, BY CHIP TYPE, 2020–2030 ($MILLION)
TABLE 31.MEXICO DEEP LEARNING CHIP MARKET, BY TECHNOLOGY, 2020–2030 ($MILLION)
TABLE 32.MEXICO DEEP LEARNING CHIP MARKET, BY INDUSTRY VERTICAL, 2020–2030 ($MILLION)
TABLE 33.EUROPEAN DEEP LEARNING CHIP MARKET, BY CHIP TYPE, 2020–2030 ($MILLION)
TABLE 34.EUROPEAN DEEP LEARNING CHIP MARKET, BY TECHNOLOGY, 2020–2030 ($MILLION)
TABLE 35.EUROPEAN DEEP LEARNING CHIP MARKET, BY INDUSTRY VERTICAL, 2020–2030 ($MILLION)
TABLE 36.U.K. DEEP LEARNING CHIP MARKET, BY CHIP TYPE, 2020–2030 ($MILLION)
TABLE 37.UK DEEP LEARNING CHIP MARKET, BY TECHNOLOGY, 2020–2030 ($MILLION)
TABLE 38.UK DEEP LEARNING CHIP MARKET, BY INDUSTRY VERTICAL, 2020–2030 ($MILLION)
TABLE 39.GERMANY DEEP LEARNING CHIP MARKET, BY CHIP TYPE, 2020–2030 ($MILLION)
TABLE 40.GERMANY DEEP LEARNING CHIP MARKET, BY TECHNOLOGY, 2020–2030 ($MILLION)
TABLE 41.GERMANY DEEP LEARNING CHIP MARKET, BY INDUSTRY VERTICAL, 2020–2030 ($MILLION)
TABLE 42.FRANCE DEEP LEARNING CHIP MARKET, BY CHIP TYPE, 2020–2030 ($MILLION)
TABLE 43.FRANCE DEEP LEARNING CHIP MARKET, BY TECHNOLOGY, 2020–2030 ($MILLION)
TABLE 44.FRANCE DEEP LEARNING CHIP MARKET, BY INDUSTRY VERTICAL, 2020–2030 ($MILLION)
TABLE 45.RUSSIA DEEP LEARNING CHIP MARKET, BY CHIP TYPE, 2020–2030 ($MILLION)
TABLE 46.RUSSIA DEEP LEARNING CHIP MARKET, BY TECHNOLOGY, 2020–2030 ($MILLION)
TABLE 47.RUSSIA DEEP LEARNING CHIP MARKET, BY INDUSTRY VERTICAL, 2020–2030 ($MILLION)
TABLE 48.REST OF EUROPE DEEP LEARNING CHIP MARKET, BY CHIP TYPE, 2020–2030 ($MILLION)
TABLE 49.REST OF EUROPE DEEP LEARNING CHIP MARKET, BY TECHNOLOGY, 2020–2030 ($MILLION)
TABLE 50.REST OF EUROPE DEEP LEARNING CHIP MARKET, BY INDUSTRY VERTICAL, 2020–2030 ($MILLION)
TABLE 51.ASIA-PACIFIC DEEP LEARNING CHIP MARKET, BY CHIP TYPE, 2020–2030 ($MILLION)
TABLE 52.ASIA-PACIFIC DEEP LEARNING CHIP MARKET, BY TECHNOLOGY, 2020–2030 ($MILLION)
TABLE 53.ASIA-PACIFIC DEEP LEARNING CHIP MARKET, BY INDUSTRY VERTICAL, 2020–2030 ($MILLION)
TABLE 54.CHINA DEEP LEARNING CHIP MARKET, BY CHIP TYPE, 2020–2030 ($MILLION)
TABLE 55.CHINA DEEP LEARNING CHIP MARKET, BY TECHNOLOGY, 2020–2030 ($MILLION)
TABLE 56.CHINA DEEP LEARNING CHIP MARKET, BY INDUSTRY VERTICAL, 2020–2030 ($MILLION)
TABLE 57.JAPAN DEEP LEARNING CHIP MARKET, BY CHIP TYPE, 2020–2030 ($MILLION)
TABLE 58.JAPAN DEEP LEARNING CHIP MARKET, BY TECHNOLOGY, 2020–2030 ($MILLION)
TABLE 59.JAPAN DEEP LEARNING CHIP MARKET, BY INDUSTRY VERTICAL, 2020–2030 ($MILLION)
TABLE 60.INDIA DEEP LEARNING CHIP MARKET, BY CHIP TYPE, 2020–2030 ($MILLION)
TABLE 61.INDIA DEEP LEARNING CHIP MARKET, BY TECHNOLOGY, 2020–2030 ($MILLION)
TABLE 62.INDIA DEEP LEARNING CHIP MARKET, BY INDUSTRY VERTICAL, 2020–2030 ($MILLION)
TABLE 63.AUSTRALIA DEEP LEARNING CHIP MARKET, BY CHIP TYPE, 2020–2030 ($MILLION)
TABLE 64.AUSTRALIA DEEP LEARNING CHIP MARKET, BY TECHNOLOGY, 2020–2030 ($MILLION)
TABLE 65.AUSTRALIA DEEP LEARNING CHIP MARKET, BY INDUSTRY VERTICAL, 2020–2030 ($MILLION)
TABLE 66.REST OF ASIA-PACIFIC DEEP LEARNING CHIP MARKET, BY CHIP TYPE, 2020–2030 ($MILLION)
TABLE 67.REST OF ASIA-PACIFIC DEEP LEARNING CHIP MARKET, BY TECHNOLOGY, 2020–2030 ($MILLION)
TABLE 68.REST OF ASIA-PACIFIC DEEP LEARNING CHIP MARKET, BY INDUSTRY VERTICAL, 2020–2030 ($MILLION)
TABLE 69.LAMEA DEEP LEARNING CHIP MARKET, BY CHIP TYPE, 2020–2030 ($MILLION)
TABLE 70.LAMEA DEEP LEARNING CHIP MARKET, BY TECHNOLOGY, 2020–2030 ($MILLION)
TABLE 71.LAMEA DEEP LEARNING CHIP MARKET, BY INDUSTRY VERTICAL, 2020–2030 ($MILLION)
TABLE 72.LATIN AMERICA DEEP LEARNING CHIP MARKET, BY CHIP TYPE, 2020–2030 ($MILLION)
TABLE 73.LATIN AMERICA DEEP LEARNING CHIP MARKET, BY TECHNOLOGY, 2020–2030 ($MILLION)
TABLE 74.LATIN AMERICA DEEP LEARNING CHIP MARKET, BY INDUSTRY VERTICAL, 2020–2030 ($MILLION)
TABLE 75.MIDDLE EAST DEEP LEARNING CHIP MARKET, BY CHIP TYPE, 2020–2030 ($MILLION)
TABLE 76.MIDDLE EAST DEEP LEARNING CHIP MARKET, BY TECHNOLOGY, 2020–2030 ($MILLION)
TABLE 77.MIDDLE EAST DEEP LEARNING CHIP MARKET, BY INDUSTRY VERTICAL, 2020–2030 ($MILLION)
TABLE 78.AFRICA DEEP LEARNING CHIP MARKET, BY CHIP TYPE, 2020–2030 ($MILLION)
TABLE 79.AFRICA DEEP LEARNING CHIP MARKET, BY TECHNOLOGY, 2020–2030 ($MILLION)
TABLE 80.AFRICA DEEP LEARNING CHIP MARKET, BY INDUSTRY VERTICAL, 2020–2030 ($MILLION)
TABLE 81.COMPANY SNAPSHOT
TABLE 82.ALPHABET: OPERATING SEGMENTS
TABLE 83.ALPHABET: PRODUCT PORTFOLIO
TABLE 84.ALPHABET: TECHNOLOGICAL INSIGHTS AND KEY ARCHITECTURES
TABLE 85.AMAZON.COM: COMPANY SNAPSHOT
TABLE 86.AMAZON.COM: OPERATING SEGMENTS
TABLE 87.AMAZON.COM: PRODUCT PORTFOLIO
TABLE 88.AMAZON.COM: TECHNOLOGICAL INSIGHTS AND KEY ARCHITECTURES
TABLE 89.COMPANY SNAPSHOT
TABLE 90.AMD: OPERATING SEGMENTS
TABLE 91.AMD: PRODUCT PORTFOLIO
TABLE 92.AMD: TECHNOLOGICAL INSIGHTS AND KEY ARCHITECTURES
TABLE 93.COMPANY SNAPSHOT
TABLE 94.AMAZON.COM: OPERATING SEGMENTS
TABLE 95.AMAZON.COM: PRODUCT PORTFOLIO
TABLE 96.BAIDU: TECHNOLOGICAL INSIGHTS AND KEY ARCHITECTURES
TABLE 97.COMPANY SNAPSHOT
TABLE 98.BITMAIN TECHNOLOGIES: PRODUCT PORTFOLIO
TABLE 99.BITMAIN TECHNOLOGIES: TECHNOLOGICAL INSIGHTS AND KEY ARCHITECTURES
TABLE 100.COMPANY SNAPSHOT
TABLE 101.INTEL: OPERATING SEGMENTS
TABLE 102.INTEL: PRODUCT PORTFOLIO
TABLE 103.INTEL: TECHNOLOGICAL INSIGHTS AND KEY ARCHITECTURES
TABLE 104.COMPANY SNAPSHOT
TABLE 105.NVIDIA: OPERATING SEGMENTS
TABLE 106.NVIDIA: PRODUCT PORTFOLIO
TABLE 107.NVIDIA: TECHNOLOGICAL INSIGHTS AND KEY ARCHITECTURES
TABLE 108.COMPANY SNAPSHOT
TABLE 109.QUALCOMM: OPERATING SEGMENTS
TABLE 110.QUALCOMM: PRODUCT PORTFOLIO
TABLE 111.QUALCOMM: TECHNOLOGICAL INSIGHTS AND KEY ARCHITECTURES
TABLE 112.COMPANY SNAPSHOT
TABLE 113.SAMSUNG: OPERATING SEGMENTS
TABLE 114.SAMSUNG: PRODUCT PORTFOLIO
TABLE 115.SAMSUNG: TECHNOLOGICAL INSIGHTS AND KEY ARCHITECTURES
TABLE 116.COMPANY SNAPSHOT
TABLE 117.XILINX: PRODUCT PORTFOLIO
TABLE 118.XILINX: TECHNOLOGICAL INSIGHTS AND KEY ARCHITECTURES

LIST OF FIGURES

FIGURE 01.KEY MARKET SEGMENTS
FIGURE 02.EXECUTIVE SUMMARY
FIGURE 03.EXECUTIVE SUMMARY
FIGURE 04.TOP IMPACTING FACTORS
FIGURE 05.TOP INVESTMENT POCKETS
FIGURE 06.TOP WINNING STRATEGIES, 2020–2030 (%)
FIGURE 07.TOP COMPANIES AND THEIR STRATEGIES
FIGURE 08.MARKET SHARE ANALYSIS (2020)
FIGURE 09.GLOBAL DEEP LEARNING CHIP MARKET SHARE, BY CHIP TYPE, 2020–2030 (%)
FIGURE 10.COMPARATIVE SHARE ANALYSIS OF DEEP LEARNING CHIP MARKET FOR GPU, BY COUNTRY, 2020 & 2030 (%)
FIGURE 11.COMPARATIVE SHARE ANALYSIS OF DEEP LEARNING CHIP MARKET FOR ASIC, BY COUNTRY, 2020 & 2030 (%)
FIGURE 12.COMPARATIVE SHARE ANALYSIS OF DEEP LEARNING CHIP MARKET FOR FPGA, BY COUNTRY, 2020 & 2030 (%)
FIGURE 13.COMPARATIVE SHARE ANALYSIS OF DEEP LEARNING CHIP MARKET FOR CPU, BY COUNTRY, 2020 & 2030 (%)
FIGURE 14.COMPARATIVE SHARE ANALYSIS OF DEEP LEARNING CHIP MARKET FOR OTHERS, BY COUNTRY, 2020 & 2030 (%)
FIGURE 15.GLOBAL DEEP LEARNING CHIP MARKET SHARE, BY TECHNOLOGY, 2020–2030 (%)
FIGURE 16.COMPARATIVE SHARE ANALYSIS OF DEEP LEARNING CHIP MARKET FOR SYSTEM-ON-CHIP (SOC), BY COUNTRY, 2020 & 2030 (%)
FIGURE 17.COMPARATIVE SHARE ANALYSIS OF DEEP LEARNING CHIP MARKET FOR SYSTEM-IN-PACKAGE (SIP), BY COUNTRY, 2020 & 2030 (%)
FIGURE 18.COMPARATIVE SHARE ANALYSIS OF DEEP LEARNING CHIP MARKET FOR MULTI-CHIP MODULE, BY COUNTRY, 2020 & 2030 (%)
FIGURE 19.COMPARATIVE SHARE ANALYSIS OF DEEP LEARNING CHIP MARKET FOR OTHERS, BY COUNTRY, 2020 & 2030 (%)
FIGURE 20.GLOBAL DEEP LEARNING CHIP MARKET SHARE, BY INDUSTRY VERTICAL, 2020–2030 (%)
FIGURE 21.COMPARATIVE SHARE ANALYSIS OF DEEP LEARNING CHIP MARKET FOR MEDIA & ADVERTISING, BY COUNTRY, 2020 & 2030 (%)
FIGURE 22.COMPARATIVE SHARE ANALYSIS OF DEEP LEARNING CHIP MARKET FOR BFSI, BY COUNTRY, 2020 & 2030 (%)
FIGURE 23.COMPARATIVE SHARE ANALYSIS OF DEEP LEARNING CHIP MARKET FOR IT & TELECOM, BY COUNTRY,  2020 & 2030 (%)
FIGURE 24.COMPARATIVE SHARE ANALYSIS OF DEEP LEARNING CHIP MARKET FOR RETAIL, BY COUNTRY, 2020 & 2030 (%)
FIGURE 25.COMPARATIVE SHARE ANALYSIS OF DEEP LEARNING CHIP MARKET FOR HEALTHCARE, BY COUNTRY,  2020 & 2030 (%)
FIGURE 26.COMPARATIVE SHARE ANALYSIS OF DEEP LEARNING CHIP MARKET FOR AUTOMOTIVE, BY COUNTRY,  2020 & 2030 (%)
FIGURE 27.COMPARATIVE SHARE ANALYSIS OF DEEP LEARNING CHIP MARKET FOR OTHERS, BY COUNTRY, 2020 & 2030 (%)
FIGURE 28.DEEP LEARNING CHIP MARKET, BY REGION, 2020–2030 (%)
FIGURE 29.COMPARATIVE SHARE ANALYSIS OF DEEP LEARNING CHIP MARKET, BY COUNTRY, 2020–2030 (%)
FIGURE 30.U. S. DEEP LEARNING CHIP MARKET, 2020–2030 ($MILLION)
FIGURE 31.CANADA DEEP LEARNING CHIP MARKET, 2020–2030 ($MILLION)
FIGURE 32.MEXICO DEEP LEARNING CHIP MARKET, 2020–2030 ($MILLION)
FIGURE 33.COMPARATIVE SHARE ANALYSIS OF DEEP LEARNING CHIP MARKET, BY COUNTRY, 2020–2030 (%)
FIGURE 34.U.K. DEEP LEARNING CHIP MARKET, 2020–2030 ($MILLION)
FIGURE 35.GERMANY DEEP LEARNING CHIP MARKET, 2020–2030 ($MILLION)
FIGURE 36.FRANCE DEEP LEARNING CHIP MARKET, 2020–2030 ($MILLION)
FIGURE 37.RUSSIA DEEP LEARNING CHIP MARKET, 2020–2030 ($MILLION)
FIGURE 38.REST OF EUROPE DEEP LEARNING CHIP MARKET, 2020–2030 ($MILLION)
FIGURE 39.COMPARATIVE SHARE ANALYSIS OF DEEP LEARNING CHIP MARKET, BY COUNTRY, 2020–2030 (%)
FIGURE 40.CHINA DEEP LEARNING CHIP MARKET, 2020–2030 ($MILLION)
FIGURE 41.JAPAN DEEP LEARNING CHIP MARKET, 2020–2030 ($MILLION)
FIGURE 42.INDIA DEEP LEARNING CHIP MARKET, 2020–2030 ($MILLION)
FIGURE 43.AUSTRALIA DEEP LEARNING CHIP MARKET, 2020–2030 ($MILLION)
FIGURE 44.REST OF ASIA-PACIFIC DEEP LEARNING CHIP MARKET, 2020–2030 ($MILLION)
FIGURE 45.COMPARATIVE SHARE ANALYSIS OF DEEP LEARNING CHIP MARKET, BY COUNTRY, 2020–2030 (%)
FIGURE 46.LATIN AMERICA DEEP LEARNING CHIP MARKET, 2020–2030 ($MILLION)
FIGURE 47.MIDDLE EAST DEEP LEARNING CHIP MARKET, 2020–2030 ($MILLION)
FIGURE 48.AFRICA DEEP LEARNING CHIP MARKET, 2020–2030 ($MILLION)
FIGURE 49.ALPHABET:NET SALES, 2018–2021 ($MILLION)
FIGURE 50.ALPHABET: REVENUE SHARE, BY SEGMENT, 2020 (%)
FIGURE 51.ALPHABET: REVENUE SHARE, BY GEOGRAPHY, 2020 (%)
FIGURE 52.AMAZON.COM:NET SALES, 2018–2021 ($MILLION)
FIGURE 53.AMAZON.COM: REVENUE SHARE, BY SEGMENT, 2020 (%)
FIGURE 54.AMAZON.COM: REVENUE SHARE, BY GEOGRAPHY, 2020 (%)
FIGURE 55.AMD:NET SALES, 2018–2021 ($MILLION)
FIGURE 56.AMD: REVENUE SHARE, BY SEGMENT, 2020 (%)
FIGURE 57.AMD: REVENUE SHARE, BY GEOGRAPHY, 2020 (%)
FIGURE 58.BAIDU:NET SALES, 2018–2021 ($MILLION)
FIGURE 59.BAIDU: REVENUE SHARE, BY SEGMENT, 2020 (%)
FIGURE 60.INTEL:NET SALES, 2018–2021 ($MILLION)
FIGURE 61.INTEL: REVENUE SHARE, BY SEGMENT, 2020 (%)
FIGURE 62.INTEL: REVENUE SHARE, BY GEOGRAPHY, 2020 (%)
FIGURE 63.NVIDIA:NET SALES, 2018–2021 ($MILLION)
FIGURE 64.NVIDIA: REVENUE SHARE, BY SEGMENT, 2020 (%)
FIGURE 65.NVIDIA: REVENUE SHARE, BY GEOGRAPHY, 2020 (%)
FIGURE 66.QUALCOMM:NET SALES, 2018–2021 ($MILLION)
FIGURE 67.QUALCOMM: REVENUE SHARE, BY SEGMENT, 2020 (%)
FIGURE 68.SAMSUNG: NET SALES, 2018–2021 ($MILLION)
FIGURE 69.SAMSUNG: REVENUE SHARE, BY SEGMENT, 2020 (%)
FIGURE 70.SAMSUNG: REVENUE SHARE, BY GEOGRAPHY, 2020 (%)
FIGURE 71.XILINX: NET SALES, 2018–2021 ($MILLION)
FIGURE 72.XILINX: REVENUE SHARE, BY PRODUCT, 2020 (%)
FIGURE 73.XILINX: REVENUE SHARE, BY GEOGRAPHY, 2020 (%)

 
 

The deep learning chip market is witnessing significant growth, owing to increase in applications in healthcare, automotive, retails, and IT & telecommunication.

According to the insights of the CXOs of leading companies, the global deep learning chip market holds high potential for the semiconductor industry. The business scenario has been witnessing an increase in the demand for deep learning chips, particularly in the developing regions, such as China, India, and others. Companies in this industry have been adopting various innovative techniques to provide customers with advanced and innovative product offerings.

Deep learning signifies the new electricity, which has high potential similar to the internet. In addition, it is relevant in every industry including retail, automotive, healthcare, agriculture, defense, and others along with computers.The deep learning chip market provides numerous growth opportunities to players such as Google, Inc., Intel Corporation, NVIDIA, and others.

 

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A. The Deep Learning Chip Market is estimated to grow at a CAGR of 35.2% from 2021 to 2030.

A. The Deep Learning Chip Market is projected to reach $81,776.8 million by 2030.

A. To get the latest version of sample report

A. Factors such as Emergence of quantum computing and enhanced implementation of deep learning chips in robotics drives the growth of the Deep Learning Chip market

A. The key players profiled in the report include American Security Products Co., Access Security Products Ltd., Alpha Safe & Vault, Inc., Acme Security Systems, BJARSTAL, Bode-Panzer GmbH, Diebold Nixdorf Incorporated, Dormakaba, Gunnebo Industries AB, and Godrej & Boyce Manufacturing Co. Limited, and many more.

A. On the basis of top growing big corporations, we select top 10 players.

A. The Deep Learning Chip Market is segmented on the basis ofchip type, industry vertical, technology and region.

A. The key growth strategies of Deep Learning Chip market players include product portfolio expansion, mergers & acquisitions, agreements, geographical expansion, and collaborations.

A. subsegments of technology are system-on-chip, system-in-package, multi-chip module, and others.

A. FPGA segment will grow at a highest CAGR of 36.90% during 2021 - 2030.

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