[시장보고서]세계의 딥러닝 시장 성장 기회와 산업 예측(2021-2030년) : 컴포넌트별, 용도별, 산업별

	세계의 딥러닝 시장 성장 기회와 산업 예측(2021-2030년) : 컴포넌트별, 용도별, 산업별 Deep Learning Market by Component, by Application and by Industry Vertical : Global Opportunity Analysis and Industry Forecast, 2021-2030
리서치사	Allied Market Research
발행일	2021년 12월	상품코드	1059582
페이지 정보	영문 286 Pages	배송안내	2-3일 (영업일 기준)
가격	US $ 4,126 ￦ 5,311,000 Excel (Data Pack) DRM(디지털 저작권 관리 시스템) 장착 Excel 파일로, 1명만 이용할 수 있는 라이선스입니다. 인쇄는 1회에 한해 가능합니다. 인쇄물 이용은 Excel파일 라이선스 소유자로 한정됩니다. US $ 6,169 ￦ 7,941,000 PDF (Single User License + Covid impact) DRM(디지털 저작권 관리 시스템) 장착 PDF 파일로, 1명만 이용할 수 있는 라이선스입니다. PDF 파일은 Copy & Paste 가 되지 않으며, 인쇄는 1회에 한해 가능합니다. 인쇄물 이용은 PDF 라이선스 소유자로 한정됩니다. US $ 6,930 ￦ 8,920,000 PDF (5-user License) DRM(디지털 저작권 관리 시스템) 장착 PDF 파일로, 5명까지 이용할 수 있는 라이선스입니다. 인쇄는 5회까지 가능하며 인쇄물의 이용 범위는 PDF 이용 범위에 준합니다. US $ 10,665 ￦ 13,729,000 PDF (Enterprise User License) 동일 기업 내의 모든 분들이 이용할 수 있는 라이선스입니다. 이용 인원수 제한은 없습니다. PDF 파일은 Copy & Paste 가 가능합니다. 인쇄횟수에 제한은 없으나, 인쇄물의 이용 범위는 PDF 이용 범위에 준합니다. 주의 : 본 보고서는 DRM(디지털 저작권 관리 시스템)이 장착된 PDF 파일로, 라이선스에 따라 자료 이용 및 인쇄 등에 제약이 있을 수 있습니다. 자세한 내용은 라이선스 설명문( )을 참고하여 주시기 바랍니다.

※ 본 상품은 영문 자료로 한글과 영문 목차에 불일치하는 내용이 있을 경우 영문을 우선합니다. 정확한 검토를 위해 영문목차를 참고해주시기 바랍니다.

컴퓨팅 파워 향상, 하드웨어 비용 하락, 클라우드 기반 기술 채용 증가가 세계의 딥러닝 시장 성장을 지지하고 있습니다.

또한 빅데이터 애널리틱스의 딥러닝 이용도 시장 성장에 플러스 영향을 미치고 있습니다. 또한 헬스케어, 여행, 관광, 호스피탈리티 산업의 누적 지출도 예측기간 중 성장 기회를 나타낼 것으로 기대됩니다. 한편 복잡한 알고리즘이나 기술적 전문 지식 부족, 표준이나 프로토콜 결여에 의해 하드웨어의 복잡성이 증가하고 있는 점 등의 과제가 시장 성장을 저해하고 있습니다.

세계의 딥러닝(Deep Learning) 시장을 조사했으며, 시장 정의와 개요, 시장 영향요인 분석, 특허 동향, 사례 연구, 시장 규모 추정과 예측, 컴포넌트·용도·산업·지역/주요 국가 등 각종 세분화별 내역, 경쟁 상황, 주요 기업 개요 등을 정리했습니다.

LIST OF TABLES

TABLE 01.DEEP LEARNING MARKET REVENUE, BY COMPONENT, 2020-2030 ($MILLION)
TABLE 02.DEEP LEARNING MARKET REVENUE FOR HARDWARE, BY REGION, 2020-2030 ($MILLION)
TABLE 03.DEEP LEARNING MARKET REVENUE FOR SOFTWARE, BY REGION, 2020-2030 ($MILLION)
TABLE 04.DEEP LEARNING MARKET REVENUE FOR SERVICE, BY REGION, 2020-2030 ($MILLION)
TABLE 05.DEEP LEARNING MARKET REVENUE, BY APPLICATION, 2020-2030 ($MILLION)
TABLE 06.DEEP LEARNING MARKET REVENUE FOR IMAGE RECOGNITION, BY REGION, 2020-2030 ($MILLION)
TABLE 07.DEEP LEARNING MARKET REVENUE FOR SIGNAL RECOGNITION, BY REGION, 2020-2030 ($MILLION)
TABLE 08.DEEP LEARNING MARKET REVENUE FOR DATA MINING, BY REGION, 2020-2030 ($MILLION)
TABLE 09.DEEP LEARNING MARKET REVENUE FOR OTHERS, BY REGION, 2020-2030 ($MILLION)
TABLE 10.DEEP LEARNING MARKET REVENUE, BY INDUSTRY VERTICALS, 2020-2030 ($MILLION)
TABLE 11.DEEP LEARNING MARKET REVENUE FOR SECURITY, BY REGION, 2020-2030 ($MILLION)
TABLE 12.DEEP LEARNING MARKET REVENUE FOR MARKETING, BY REGION, 2020-2030 ($MILLION)
TABLE 13.DEEP LEARNING MARKET REVENUE FOR AUTOMOTIVE, BY REGION, 2020-2030 ($MILLION)
TABLE 14.DEEP LEARNING MARKET REVENUE FOR RETAIL & E-COMMERCE, BY REGION, 2020-2030 ($MILLION)
TABLE 15.DEEP LEARNING MARKET REVENUE FOR HEALTHCARE, BY REGION, 2020-2030 ($MILLION)
TABLE 16.DEEP LEARNING MARKET REVENUE FOR MANUFACTURING, BY REGION, 2020-2030 ($MILLION)
TABLE 17.DEEP LEARNING MARKET REVENUE FOR LAW, BY REGION, 2020-2030 ($MILLION)
TABLE 18.DEEP LEARNING MARKET REVENUE FOR OTHERS, BY REGION, 2020-2030 ($MILLION)
TABLE 19.DEEP LEARNING MARKET REVENUE, BY REGION, 2020-2030 ($MILLION)
TABLE 20.NORTH AMERICA DEEP LEARNING MARKET REVENUE, BY COMPONENT, 2020-2030 ($MILLION)
TABLE 21.NORTH AMERICA DEEP LEARNING MARKET REVENUE, BY APPLICATION, 2020-2030 ($MILLION)
TABLE 22.NORTH AMERICA DEEP LEARNING MARKET REVENUE, BY INDUSTRY VERTICAL, 2020-2030 ($MILLION)
TABLE 23.NORTH AMERICA DEEP LEARNING MARKET REVENUE, BY COUNTRY, 2020-2028 ($MILLION)
TABLE 24.U.S. DEEP LEARNING MARKET REVENUE, BY COMPONENT, 2020-2030 ($MILLION)
TABLE 25.U.S. DEEP LEARNING MARKET REVENUE, BY APPLICATION, 2020-2030 ($MILLION)
TABLE 26.U.S. DEEP LEARNING MARKET REVENUE, BY INDUSTRY VERTICAL, 2020-2030 ($MILLION)
TABLE 27.CANADA DEEP LEARNING MARKET REVENUE, BY COMPONENT, 2020-2030 ($MILLION)
TABLE 28.CANADA DEEP LEARNING MARKET REVENUE, BY APPLICATION, 2020-2030 ($MILLION)
TABLE 29.CANADA DEEP LEARNING MARKET REVENUE, BY INDUSTRY VERTICAL, 2020-2030 ($MILLION)
TABLE 30.EUROPE DEEP LEARNING MARKET REVENUE, BY COMPONENT, 2020-2030 ($MILLION)
TABLE 31.EUROPE DEEP LEARNING MARKET REVENUE, BY APPLICATION, 2020-2030 ($MILLION)
TABLE 32.EUROPE DEEP LEARNING MARKET REVENUE, BY INDUSTRY VERTICAL, 2020-2030 ($MILLION)
TABLE 33.EUROPE DEEP LEARNING MARKET REVENUE, BY COUNTRY, 2020-2028 ($MILLION)
TABLE 34.UK DEEP LEARNING MARKET REVENUE, BY COMPONENT, 2020-2030 ($MILLION)
TABLE 35.UK DEEP LEARNING MARKET REVENUE, BY APPLICATION, 2020-2030 ($MILLION)
TABLE 36.UK DEEP LEARNING MARKET REVENUE, BY INDUSTRY VERTICAL, 2020-2030 ($MILLION)
TABLE 37.GERMANY DEEP LEARNING MARKET REVENUE, BY COMPONENT, 2020-2030 ($MILLION)
TABLE 38.GERMANY DEEP LEARNING MARKET REVENUE, BY APPLICATION, 2020-2030 ($MILLION)
TABLE 39.GERMANY DEEP LEARNING MARKET REVENUE, BY INDUSTRY VERTICAL, 2020-2030 ($MILLION)
TABLE 40.FRANCE DEEP LEARNING MARKET REVENUE, BY COMPONENT, 2020-2030 ($MILLION)
TABLE 41.FRANCE DEEP LEARNING MARKET REVENUE, BY APPLICATION, 2020-2030 ($MILLION)
TABLE 42.FRANCE DEEP LEARNING MARKET REVENUE, BY INDUSTRY VERTICAL, 2020-2030 ($MILLION)
TABLE 43.ITALY DEEP LEARNING MARKET REVENUE, BY COMPONENT, 2020-2030 ($MILLION)
TABLE 44.ITALY DEEP LEARNING MARKET REVENUE, BY APPLICATION, 2020-2030 ($MILLION)
TABLE 45.ITALY DEEP LEARNING MARKET REVENUE, BY INDUSTRY VERTICAL, 2020-2030 ($MILLION)
TABLE 46.SPAIN DEEP LEARNING MARKET REVENUE, BY COMPONENT, 2020-2030 ($MILLION)
TABLE 47.SPAIN DEEP LEARNING MARKET REVENUE, BY APPLICATION, 2020-2030 ($MILLION)
TABLE 48.SPAIN DEEP LEARNING MARKET REVENUE, BY INDUSTRY VERTICAL, 2020-2030 ($MILLION)
TABLE 49.NETHERLANDS DEEP LEARNING MARKET REVENUE, BY COMPONENT, 2020-2030 ($MILLION)
TABLE 50.NETHERLANDS DEEP LEARNING MARKET REVENUE, BY APPLICATION, 2020-2030 ($MILLION)
TABLE 51.NETHERLANDS DEEP LEARNING MARKET REVENUE, BY INDUSTRY VERTICAL, 2020-2030 ($MILLION)
TABLE 52.REST OF EUROPE DEEP LEARNING MARKET REVENUE, BY COMPONENT, 2020-2030 ($MILLION)
TABLE 53.REST OF EUROPE DEEP LEARNING MARKET REVENUE, BY APPLICATION, 2020-2030 ($MILLION)
TABLE 54.REST OF EUROPE DEEP LEARNING MARKET REVENUE, BY INDUSTRY VERTICAL, 2020-2030 ($MILLION)
TABLE 55.ASIA-PACIFIC DEEP LEARNING MARKET REVENUE, BY COMPONENT, 2020-2030 ($MILLION)
TABLE 56.ASIA-PACIFIC DEEP LEARNING MARKET REVENUE, BY APPLICATION, 2020-2030 ($MILLION)
TABLE 57.ASIA-PACIFIC DEEP LEARNING MARKET REVENUE, BY INDUSTRY VERTICAL, 2020-2030 ($MILLION)
TABLE 58.ASIA-PACIFIC DEEP LEARNING MARKET REVENUE, BY COUNTRY, 2020-2028 ($MILLION)
TABLE 59.CHINA DEEP LEARNING MARKET REVENUE, BY COMPONENT, 2020-2030 ($MILLION)
TABLE 60.CHINA DEEP LEARNING MARKET REVENUE, BY APPLICATION, 2020-2030 ($MILLION)
TABLE 61.CHINA DEEP LEARNING MARKET REVENUE, BY INDUSTRY VERTICAL, 2020-2030 ($MILLION)
TABLE 62.JAPAN DEEP LEARNING MARKET REVENUE, BY COMPONENT, 2020-2030 ($MILLION)
TABLE 63.JAPAN DEEP LEARNING MARKET REVENUE, BY APPLICATION, 2020-2030 ($MILLION)
TABLE 64.JAPAN DEEP LEARNING MARKET REVENUE, BY INDUSTRY VERTICAL, 2020-2030 ($MILLION)
TABLE 65.INDIA DEEP LEARNING MARKET REVENUE, BY COMPONENT, 2020-2030 ($MILLION)
TABLE 66.INDIA DEEP LEARNING MARKET REVENUE, BY APPLICATION, 2020-2030 ($MILLION)
TABLE 67.INDIA DEEP LEARNING MARKET REVENUE, BY INDUSTRY VERTICAL, 2020-2030 ($MILLION)
TABLE 68.SOUTH KOREA DEEP LEARNING MARKET REVENUE, BY COMPONENT, 2020-2030 ($MILLION)
TABLE 69.SOUTH KOREA DEEP LEARNING MARKET REVENUE, BY APPLICATION, 2020-2030 ($MILLION)
TABLE 70.SOUTH KOREA DEEP LEARNING MARKET REVENUE, BY INDUSTRY VERTICAL, 2020-2030 ($MILLION)
TABLE 71.AUSTRALIA DEEP LEARNING MARKET REVENUE, BY COMPONENT, 2020-2030 ($MILLION)
TABLE 72.AUSTRALIA DEEP LEARNING MARKET REVENUE, BY APPLICATION, 2020-2030 ($MILLION)
TABLE 73.AUSTRALIA DEEP LEARNING MARKET REVENUE, BY INDUSTRY VERTICAL, 2020-2030 ($MILLION)
TABLE 74.REST OF ASIA-PACIFIC DEEP LEARNING MARKET REVENUE, BY COMPONENT, 2020-2030 ($MILLION)
TABLE 75.REST OF ASIA-PACIFIC DEEP LEARNING MARKET REVENUE, BY APPLICATION, 2020-2030 ($MILLION)
TABLE 76.REST OF ASIA-PACIFIC DEEP LEARNING MARKET REVENUE, BY INDUSTRY VERTICAL, 2020-2030 ($MILLION)
TABLE 77.LAMEA DEEP LEARNING MARKET REVENUE, BY COMPONENT, 2020-2030 ($MILLION)
TABLE 78.LAMEA DEEP LEARNING MARKET REVENUE, BY APPLICATION, 2020-2030 ($MILLION)
TABLE 79.LAMEA DEEP LEARNING MARKET REVENUE, BY INDUSTRY VERTICAL, 2020-2030 ($MILLION)
TABLE 80.LAMEA DEEP LEARNING MARKET REVENUE, BY COUNTRY, 2020-2028 ($MILLION)
TABLE 81.LATIN AMERICA DEEP LEARNING MARKET REVENUE, BY COMPONENT, 2020-2030 ($MILLION)
TABLE 82.LATIN AMERICA DEEP LEARNING MARKET REVENUE, BY APPLICATION, 2020-2030 ($MILLION)
TABLE 83.LATIN AMERICA DEEP LEARNING MARKET REVENUE, BY INDUSTRY VERTICAL, 2020-2030 ($MILLION)
TABLE 84.MIDDLE EAST DEEP LEARNING MARKET REVENUE, BY COMPONENT, 2020-2030 ($MILLION)
TABLE 85.MIDDLE EAST DEEP LEARNING MARKET REVENUE, BY APPLICATION, 2020-2030 ($MILLION)
TABLE 86.MIDDLE EAST DEEP LEARNING MARKET REVENUE, BY INDUSTRY VERTICAL, 2020-2030 ($MILLION)
TABLE 87.AFRICA DEEP LEARNING MARKET REVENUE, BY COMPONENT, 2020-2030 ($MILLION)
TABLE 88.AFRICA DEEP LEARNING MARKET REVENUE, BY APPLICATION, 2020-2030 ($MILLION)
TABLE 89.AFRICA DEEP LEARNING MARKET REVENUE, BY INDUSTRY VERTICAL, 2020-2030 ($MILLION)
TABLE 90.ADVANCED MICRO DEVICES, INC.: KEY EXECUTIVES
TABLE 91.ADVANCED MICRO DEVICES, INC.: COMPANY SNAPSHOT
TABLE 92.ADVANCED MICRO DEVICES, INC.: PRODUCT PORTFOLIO
TABLE 93.AMAZON WEB SERVICES, INC.: KEY EXECUTIVES
TABLE 94.AMAZON WEB SERVICES, INC.: COMPANY SNAPSHOT
TABLE 95.AMAZON WEB SERVICES, INC.: OPERATING SEGMENTS
TABLE 96.AMAZON WEB SERVICES, INC.: PRODUCT PORTFOLIO
TABLE 97.GOOGLE LLC: KEY EXECUTIVES
TABLE 98.GOOGLE INC.: COMPANY SNAPSHOT
TABLE 99.ALPHABET INC.: OPERATING SEGMENTS
TABLE 100.GOOGLE LLC: PRODUCT PORTFOLIO
TABLE 101.IBM CORPORATION: KEY EXECUTIVES
TABLE 102.IBM CORPORATION.: COMPANY SNAPSHOT
TABLE 103.IBM CORPORATION.: OPERATING SEGMENTS
TABLE 104.IBM CORPORATION: PRODUCT PORTFOLIO
TABLE 105.INTEL CORPORATION: KEY EXECUTIVES
TABLE 106.INTEL CORPORATION: COMPANY SNAPSHOT
TABLE 107.INTEL CORPORATION: OPERATING SEGMENTS
TABLE 108.INTEL CORPORATION: PRODUCT PORTFOLIO
TABLE 109.MICROSOFT CORPORATION: KEY EXECUTIVES
TABLE 110.MICROSOFT CORPORATION: COMPANY SNAPSHOT
TABLE 111.MICROSOFT CORPORATION: OPERATING SEGMENTS
TABLE 112.MICROSOFT CORPORATION: PRODUCT PORTFOLIO
TABLE 113.NVIDIA CORPORATION: KEY EXECUTIVES
TABLE 114.NVIDIA CORPORATION: COMPANY SNAPSHOT
TABLE 115.NVIDIA CORPORATION: OPERATING SEGMENTS
TABLE 116.: PRODUCT PORTFOLIO
TABLE 117.QUALCOMM TECHNOLOGIES, INC.:KEY EXECUTIVES
TABLE 118.QUALCOMM TECHNOLOGIES, INC.: COMPANY SNAPSHOT
TABLE 119.QUALCOMM TECHNOLOGIES, INC.: OPERATING SEGMENTS
TABLE 120.QUALCOMM TECHNOLOGIES, INC.: PRODUCT PORTFOLIO
TABLE 121.QUALCOMM TECHNOLOGIES, INC.: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 122.SAMSUNG: KEY EXECUTIVES
TABLE 123.SAMSUNG: COMPANY SNAPSHOT
TABLE 124.SAMSUNG: PRODUCT PORTFOLIO
TABLE 125.XILINX: KEY EXECUTIVES
TABLE 126.XILINX: COMPANY SNAPSHOT
TABLE 127.XILINX: PRODUCT PORTFOLIO

LIST OF FIGURES

FIGURE 01.KEY MARKET SEGMENTS
FIGURE 02.DEEP LEARNINGS MARKET SNAPSHOT, BY SEGMENTATION
FIGURE 03.DEEP LEARNINGS MARKET SNAPSHOT, BY REGION
FIGURE 04.TOP IMPACTING FACTORS
FIGURE 05.TOP INVESTMENT POCKETS
FIGURE 06.LOW-TO-MODERATE BARGAINING POWER OF SUPPLIER
FIGURE 07.LOW-TO-MODERATE BARGAINING POWER OF BUYER
FIGURE 08.MODERATE THREAT OF SUBSTITUTES
FIGURE 09.MODERATE-TO-HIGH THREAT OF NEW ENTRANTS
FIGURE 10.LOW-TO-HIGH COMPETITIVE RIVALRY
FIGURE 11.PATENT ANALYSIS, BY REGION
FIGURE 12.PATENT ANALYSIS, BY APPLICANT
FIGURE 13.DEEP LEARNING MARKET REVENUE, BY COMPONENT, 2020-2030 ($MILLION)
FIGURE 14.COMPARATIVE SHARE ANALYSIS OF DEEP LEARNING MARKET FOR HARDWARE, BY COUNTRY, 2020 & 2030(%)
FIGURE 15.COMPARATIVE SHARE ANALYSIS OF DEEP LEARNING MARKET FOR SOFTWARE, BY COUNTRY, 2020 & 2030(%)
FIGURE 16.COMPARATIVE SHARE ANALYSIS OF DEEP LEARNING MARKET FOR SERVICE, BY COUNTRY, 2020 & 2030(%)
FIGURE 17.DEEP LEARNING MARKET REVENUE, BY APPLICATION, 2020-2030 ($MILLION)
FIGURE 18.COMPARATIVE SHARE ANALYSIS OF DEEP LEARNING MARKET FOR IMAGE RECOGNITION, BY COUNTRY, 2020 & 2030(%)
FIGURE 19.COMPARATIVE SHARE ANALYSIS OF DEEP LEARNING MARKET FOR SIGNAL RECOGNITION, BY COUNTRY, 2020 & 2030(%)
FIGURE 20.COMPARATIVE SHARE ANALYSIS OF DEEP LEARNING MARKET FOR DATA MINING, BY COUNTRY, 2020 & 2030(%)
FIGURE 21.COMPARATIVE SHARE ANALYSIS OF DEEP LEARNING MARKET FOR OTHERS, BY COUNTRY, 2020 & 2030(%)
FIGURE 22.DEEP LEARNING MARKET REVENUE, BY INDUSTRY VERTICALS, 2020-2030 ($MILLION)
FIGURE 23.COMPARATIVE SHARE ANALYSIS OF DEEP LEARNING MARKET FOR SECURITY, BY COUNTRY, 2020 & 2030(%)
FIGURE 24.COMPARATIVE SHARE ANALYSIS OF DEEP LEARNING MARKET FOR MARKETING, BY COUNTRY, 2020 & 2030(%)
FIGURE 25.COMPARATIVE SHARE ANALYSIS OF DEEP LEARNING MARKET FOR AUTOMOTIVE, BY COUNTRY, 2020 & 2030(%)
FIGURE 26.COMPARATIVE SHARE ANALYSIS OF DEEP LEARNING MARKET FOR RETAIL & E-COMMERCE, BY COUNTRY, 2020 & 2030(%)
FIGURE 27.COMPARATIVE SHARE ANALYSIS OF DEEP LEARNING MARKET FOR HEALTHCARE, BY COUNTRY, 2020 & 2030(%)
FIGURE 28.COMPARATIVE SHARE ANALYSIS OF DEEP LEARNING MARKET FOR MANUFACTURING, BY COUNTRY, 2020 & 2030(%)
FIGURE 29.COMPARATIVE SHARE ANALYSIS OF DEEP LEARNING MARKET FOR LAW, BY COUNTRY, 2020 & 2030(%)
FIGURE 30.COMPARATIVE SHARE ANALYSIS OF DEEP LEARNING MARKET FOR OTHERS, BY COUNTRY, 2020 & 2030(%)
FIGURE 31.U.S. DEEP LEARNING MARKET REVENUE, 2020-2030 ($MILLION)
FIGURE 32.CANADA DEEP LEARNING MARKET REVENUE, 2020-2030 ($MILLION)
FIGURE 33.UK DEEP LEARNING MARKET REVENUE, 2020-2030 ($MILLION)
FIGURE 34.GERMANY DEEP LEARNING MARKET REVENUE, 2020-2030 ($MILLION)
FIGURE 35.FRANCE DEEP LEARNING MARKET REVENUE, 2020-2030 ($MILLION)
FIGURE 36.ITALY DEEP LEARNING MARKET REVENUE, 2020-2030 ($MILLION)
FIGURE 37.SPAIN DEEP LEARNING MARKET REVENUE, 2020-2030 ($MILLION)
FIGURE 38.NETHERLANDS DEEP LEARNING MARKET REVENUE, 2020-2030 ($MILLION)
FIGURE 39.REST OF EUROPE DEEP LEARNING MARKET REVENUE, 2020-2030 ($MILLION)
FIGURE 40.CHINA DEEP LEARNING MARKET REVENUE, 2020-2030 ($MILLION)
FIGURE 41.JAPAN DEEP LEARNING MARKET REVENUE, 2020-2030 ($MILLION)
FIGURE 42.INDIA DEEP LEARNING MARKET REVENUE, 2020-2030 ($MILLION)
FIGURE 43.SOUTH KOREA DEEP LEARNING MARKET REVENUE, 2020-2030 ($MILLION)
FIGURE 44.AUSTRALIA DEEP LEARNING MARKET REVENUE, 2020-2030 ($MILLION)
FIGURE 45.REST OF ASIA-PACIFIC DEEP LEARNING MARKET REVENUE, 2020-2030 ($MILLION)
FIGURE 46.LATIN AMERICA DEEP LEARNING MARKET REVENUE, 2020-2030 ($MILLION)
FIGURE 47.MIDDLE EAST DEEP LEARNING MARKET REVENUE, 2020-2030 ($MILLION)
FIGURE 48.AFRICA DEEP LEARNING MARKET REVENUE, 2020-2030 ($MILLION)
FIGURE 49.KEY PLAYER POSITIONING ANALYSIS: DEEP LEARNING MARKET
FIGURE 50.COMPETITIVE DASHBOARD
FIGURE 51.COMPETITIVE DASHBOARD
FIGURE 52.COMPETITIVE HEATMAP OF KEY PLAYERS
FIGURE 53.TOP WINNING STRATEGIES, BY YEAR, 2019-2021
FIGURE 54.TOP WINNING STRATEGIES, BY DEVELOPMENT, 2019-2021
FIGURE 55.TOP WINNING STRATEGIES, BY COMPANY, 2019-2021
FIGURE 56.R&D EXPENDITURE, 2018-2020 ($MILLION)
FIGURE 57.ADVANCED MICRO DEVICES, INC.: REVENUE, 2018-2020 ($MILLION)
FIGURE 58.ADVANCED MICRO DEVICES, INC.: REVENUE SHARE BY SEGMENT, 2020 (%)
FIGURE 59.ADVANCED MICRO DEVICES, INC.: REVENUE SHARE BY REGION, 2020 (%)
FIGURE 60.AMAZON.COM, INC.: REVENUE, 2018-2020 ($MILLION)
FIGURE 61.AMAZON WEB SERVICES, INC.: REVENUE SHARE BY SEGMENT, 2020 (%)
FIGURE 62.R&D EXPENDITURE, 2018-2020 ($MILLION)
FIGURE 63.ALPHABET INC.: REVENUE, 2018-2020 ($MILLION)
FIGURE 64.ALPHABET INC.: REVENUE SHARE BY SEGMENT, 2020 (%)
FIGURE 65.ALPHABET INC.: REVENUE SHARE BY REGION, 2020 (%)
FIGURE 66.IBM CORPORATION: REVENUE, 2018-2020 ($MILLION)
FIGURE 67.IBM CORPORATION: REVENUE SHARE BY SEGMENT, 2020 (%)
FIGURE 68.IBM CORPORATION: REVENUE SHARE BY REGION, 2020 (%)
FIGURE 69.INTEL CORPORATION: NET SALES, 2018-2020 ($MILLION)
FIGURE 70.INTEL CORPORATION: REVENUE SHARE, BY SEGMENT, 2020 (%)
FIGURE 71.INTEL CORPORATION: REVENUE SHARE, BY REGION, 2020 (%)
FIGURE 72.R&D EXPENDITURE, 2018-2020 ($MILLION)
FIGURE 73.MICROSOFT CORPORATION: REVENUE, 2018-2020 ($MILLION)
FIGURE 74.MICROSOFT CORPORATION: REVENUE SHARE BY SEGMENT, 2020 (%)
FIGURE 75.MICROSOFT CORPORATION: REVENUE SHARE BY REGION, 2020 (%)
FIGURE 76.R&D EXPENDITURE, 2018-2020 ($MILLION)
FIGURE 77.NVIDIA CORPORATION: REVENUE, 2018-2020 ($MILLION)
FIGURE 78.NVIDIA CORPORATION: REVENUE SHARE, BY SEGMENT, 2020 (%)
FIGURE 79.NVIDIA CORPORATION: REVENUE SHARE, BY REGION, 2020 (%)
FIGURE 80.QUALCOMM TECHNOLOGIES, INC.: R&D EXPENDITURE, 2018-2020 ($MILLION)
FIGURE 81.QUALCOMM TECHNOLOGIES, INC.: REVENUE, 2018-2020 ($MILLION)
FIGURE 82.QUALCOMM TECHNOLOGIES, INC.: REVENUE SHARE, BY SEGMENT, 2020 (%)
FIGURE 83.QUALCOMM TECHNOLOGIES, INC.: REVENUE SHARE, BY REGION, 2020 (%)
FIGURE 84.SAMSUNG: R&D EXPENDITURE, 2018-2020 ($MILLION)
FIGURE 85.SAMSUNG: NET SALES, 2018-2020 ($MILLION)
FIGURE 86.SAMSUNG: REVENUE SHARE, BY REGION (2020)
FIGURE 87.XILINX: R&D EXPENDITURE, 2018-2020 ($MILLION)
FIGURE 88.XILINX: REVENUE, 2018-2020 ($MILLION)
FIGURE 89.XILINX: REVENUE SHARE BY REGION, 2020 (%)

Deep learning is a type of machine learning and artificial intelligence (AI) that emulate the way humans perform certain task in accordance with their knowledge and experience. Deep learning plays an important element of data science, which includes statistics and predictive modeling. In addition, it is highly applicable in the field of data scientists where it helps end users to perform task which include collecting, analyzing and interpreting large amounts of data. Deep learning helps data scientists improve their data collection process and provides faster result as compared to other systems.

Improving computing power, declining hardware cost, and increasing adoption of cloud-based technology boost growth of the global deep learning market. In addition, deep learning usage in big data analytics positively impacts growth of the market. However, increasing complexity in hardware, owing to complex algorithm used in technology and lack of technical expertise & absence of standards and protocols hampers the market growth. On the contrary, cumulative spending in healthcare, travel, tourism, and hospitality industries is expected to offer remunerative opportunities for expansion of the market during the forecast period.

The global deep learning market is segmented on the basis of component, application, industry vertical and region. By component, the market is divided into hardware, software, and service. By application, the market is segmented into image recognition, signal recognition, data mining, and others. By industry vertical, it is categorized into security, marketing, automotive, retail & e-commerce, healthcare, manufacturing, law, and others. Region wise, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.

The key players profiled in the deep learning market analysis are Advanced Micro Devices Inc, Amazon Web Services, Inc., Google LLC, IBM Corporation, Intel Corporation, Microsoft Corporation, NVIDIA Corporation, Qualcomm Technologies, Inc., Samsung, and Xilinx. These players have adopted various strategies to increase their market penetration and strengthen their position in the industry.

KEY BENEFITS FOR STAKEHOLDERS

The study provides an in-depth analysis of the global deep learning market forecast along with the current & future trends to explain the imminent investment pockets.
Information about key drivers, restraints, & opportunities and their impact analysis on global deep learning market trends is provided in the report.
Porter's five forces analysis illustrates the potency of the buyers and suppliers operating in the industry.
The quantitative analysis of the market from 2021 to 2030 is provided to determine the market potential.

Key Market Segments

By Component

Hardware
Software
Service

By Application

Image recognition
Signal recognition
Data mining
Others

By Industry Vertical

Security
Marketing
Automotive
Retail & E-Commerce
Healthcare
Manufacturing
Law
Others

By Region

North America
U.S.
Canada
Europe
UK
Germany
France
Italy
Spain
Netherlands
Rest of Europe
Asia-Pacific
China
Japan
India
South Korea
Australia
Rest of Asia-Pacific
LAMEA
Latin America
Middle East
Africa

KEY MARKET PLAYERS

Advanced Micro Devices Inc
Amazon Web Services, Inc.
Google LLC
IBM Corporation
Intel Corporation
Microsoft Corporation
NVIDIA Corporation
Qualcomm Technologies, Inc.
Samsung
Xilinx

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.Key findings
- 2.1.1.Top impacting factors
- 2.1.2.Top investment pockets
2.2.CXO perspective

CHAPTER 3:MARKET OVERVIEW

3.1.Market definition and scope
3.2.Key forces shaping Deep learnings industry/market
3.3.Market dynamics
- 3.3.1.Drivers
  - 3.3.1.1.Improving computing power and declining hardware cost
  - 3.3.1.2.Increase in adoption of cloud-based technology
  - 3.3.1.3.Deep learning usage in big data analytics
- 3.3.2.Restraints
  - 3.3.2.1.Increase in complexity in hardware due to complex algorithm used in technology
  - 3.3.2.2.Lack of technical expertise and absence of standards and protocols
- 3.3.3.Opportunity
  - 3.3.3.1.Cumulative spending in healthcare, travel, tourism, and hospitality industries
3.4.COVID-19 impact analysis on deep learning market
- 3.4.1.Impact on market size
- 3.4.2.Consumer trends, preferences, and budget impact
- 3.4.3.Economic impact
- 3.4.4.Strategies to tackle negative impact
- 3.4.5.Opportunity window
3.5.Case studies
- 3.5.1.Case Study 01
- 3.5.2.Case Study 02
3.6.Patent analysis
- 3.6.1.By region (2000-2020)
- 3.6.2.By applicant

CHAPTER 4:DEEP LEARNING MARKET, BY COMPONENT

4.1.Overview
4.2.Hardware
- 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.Software
- 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.Service
- 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

CHAPTER 5:DEEP LEARNING MARKET, BY APPLICATION

5.1.Overview
5.2.Image recognition
- 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.Signal recognition
- 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.Data mining
- 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
- 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 MARKET, BY INDUSTRY VERTICAL

6.1.Overview
6.2.Security
- 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.Marketing
- 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.Automotive
- 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 & e-commerce
- 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.Manufacturing
- 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.LAW
- 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
6.9.Others
- 6.9.1.Key market trends, growth factors, and opportunities
- 6.9.2.Market size and forecast, by region
- 6.9.3.Market analysis, by country

CHAPTER 7:DEEP LEARNING MARKET, BY REGION

7.1.Overview
- 7.1.1.Market size and forecast, by region
7.2.North America
- 7.2.1.Key market trends, growth factors, and opportunities
- 7.2.2.Market size and forecast, by component
- 7.2.3.Market size and forecast, by application
- 7.2.4.Market size and forecast, by industry vertical
- 7.2.5.Market size and forecast, by country
  - 7.2.5.1.U.S.
  - 7.2.5.1.1.Market size and forecast, by component
  - 7.2.5.1.2.Market size and forecast, by application
  - 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 component
  - 7.2.5.2.2.Market size and forecast, by application
  - 7.2.5.2.3.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 component
- 7.3.3.Market size and forecast, by application
- 7.3.4.Market size and forecast, by industry vertical
- 7.3.5.Market size and forecast, by country
  - 7.3.5.1.UK
  - 7.3.5.1.1.Market size and forecast, by component
  - 7.3.5.1.2.Market size and forecast, by application
  - 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 component
  - 7.3.5.2.2.Market size and forecast, by application
  - 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 component
  - 7.3.5.3.2.Market size and forecast, by application
  - 7.3.5.3.3.Market size and forecast, by industry vertical
  - 7.3.5.4.Italy
  - 7.3.5.4.1.Market size and forecast, by component
  - 7.3.5.4.2.Market size and forecast, by application
  - 7.3.5.4.3.Market size and forecast, by industry vertical
  - 7.3.5.5.Spain
  - 7.3.5.5.1.Market size and forecast, by component
  - 7.3.5.5.2.Market size and forecast, by application
  - 7.3.5.5.3.Market size and forecast, by industry vertical
  - 7.3.5.6.Netherlands
  - 7.3.5.6.1.Market size and forecast, by component
  - 7.3.5.6.2.Market size and forecast, by application
  - 7.3.5.6.3.Market size and forecast, by industry vertical
  - 7.3.5.7.Rest of Europe
  - 7.3.5.7.1.Market size and forecast, by component
  - 7.3.5.7.2.Market size and forecast, by application
  - 7.3.5.7.3.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 component
- 7.4.3.Market size and forecast, by application
- 7.4.4.Market size and forecast, by industry vertical
- 7.4.5.Market size and forecast, by country
  - 7.4.5.1.China
  - 7.4.5.1.1.Market size and forecast, by component
  - 7.4.5.1.2.Market size and forecast, by application
  - 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 component
  - 7.4.5.2.2.Market size and forecast, by application
  - 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 component
  - 7.4.5.3.2.Market size and forecast, by application
  - 7.4.5.3.3.Market size and forecast, by industry vertical
  - 7.4.5.4.South Korea
  - 7.4.5.4.1.Market size and forecast, by component
  - 7.4.5.4.2.Market size and forecast, by application
  - 7.4.5.4.3.Market size and forecast, by industry vertical
  - 7.4.5.5.Australia
  - 7.4.5.5.1.Market size and forecast, by component
  - 7.4.5.5.2.Market size and forecast, by application
  - 7.4.5.5.3.Market size and forecast, by industry vertical
  - 7.4.5.6.Rest of Asia-Pacific
  - 7.4.5.6.1.Market size and forecast, by component
  - 7.4.5.6.2.Market size and forecast, by application
  - 7.4.5.6.3.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 component
- 7.5.3.Market size and forecast, by application
- 7.5.4.Market size and forecast, by industry vertical
- 7.5.5.Market size and forecast, by country
  - 7.5.5.1.Latin America
  - 7.5.5.1.1.Market size and forecast, by component
  - 7.5.5.1.2.Market size and forecast, by application
  - 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 component
  - 7.5.5.2.2.Market size and forecast, by application
  - 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 component
  - 7.5.5.3.2.Market size and forecast, by application
  - 7.5.5.3.3.Market size and forecast, by industry vertical

CHAPTER 8:COMPETITIVE LANDSCAPE

8.1.Key players positioning analysis, 2020
8.2.Competitive dashboard
8.3.Top winning strategies

CHAPTER 9:COMPANY PROFILES

9.1.ADVANCED MICRO DEVICES, INC
- 9.1.1.Company overview
- 9.1.2.Key Executives
- 9.1.3.Company snapshot
- 9.1.4.Product portfolio
- 9.1.5.R&D expenditure
- 9.1.6.Business performance
- 9.1.7.Key strategic moves and developments
9.2.AMAZON WEB SERVICES, INC.
- 9.2.1.Company overview
- 9.2.2.Key Executives
- 9.2.3.Company snapshot
- 9.2.4.Operating business segments
- 9.2.5.Product portfolio
- 9.2.6.Business performance
- 9.2.7.Key strategic moves and developments
9.3.GOOGLE LLC
- 9.3.1.Company overview
- 9.3.2.Key Executives
- 9.3.3.Company snapshot
- 9.3.4.Operating business segments
- 9.3.5.Product portfolio
- 9.3.6.R&D expenditure
- 9.3.7.Business performance
- 9.3.8.Key strategic moves and developments
9.4.IBM CORPORATION.
- 9.4.1.Company overview
- 9.4.2.Key executives
- 9.4.3.Company snapshot
- 9.4.4.Operating business segments
- 9.4.5.Product portfolio
- 9.4.6.Business performance
- 9.4.7.Key strategic moves and developments
9.5.INTEL CORPORATION
- 9.5.1.Company overview
- 9.5.2.Key Executives
- 9.5.3.Company snapshot
- 9.5.4.Operating business segments
- 9.5.5.Product portfolio
- 9.5.6.Business performance
9.6.MICROSOFT CORPORATION
- 9.6.1.Company overview
- 9.6.2.Key executives
- 9.6.3.Company snapshot
- 9.6.4.Operating business segments
- 9.6.5.Product portfolio
- 9.6.6.R&D expenditure
- 9.6.7.Business performance
- 9.6.8.Key strategic moves and developments
9.7.NVIDIA CORPORATION
- 9.7.1.Company overview
- 9.7.2.Key Executives
- 9.7.3.Company snapshot
- 9.7.4.Operating business segments
- 9.7.5.Product portfolio
- 9.7.6.R&D Expenditure
- 9.7.7.Business performance
- 9.7.8.Key strategic moves and developments
9.8.QUALCOMM TECHNOLOGIES, INC.
- 9.8.1.Company overview
- 9.8.2.Key Executives
- 9.8.3.Company snapshot
- 9.8.4.Operating business segments
- 9.8.5.Product portfolio
- 9.8.6.R&D expenditure
- 9.8.7.Business performance
- 9.8.8.Key strategic moves and developments
9.9.SAMSUNG
- 9.9.1.Company overview
- 9.9.2.Key executives
- 9.9.3.Company snapshot
- 9.9.4.Product portfolio
- 9.9.5.R&D expenditure
- 9.9.6.Business performance
- 9.9.7.Key strategic moves and developments
9.10.XILINX
- 9.10.1.Company overview
- 9.10.2.Key executives
- 9.10.3.Company snapshot
- 9.10.4.Product portfolio
- 9.10.5.R&D expenditure
- 9.10.6.Business performance
- 9.10.7.Key strategic moves and developments

F A Q

세계의 딥러닝 시장 성장 기회와 산업 예측(2021-2030년) : 컴포넌트별, 용도별, 산업별

Deep Learning Market by Component, by Application and by Industry Vertical : Global Opportunity Analysis and Industry Forecast, 2021-2030

목차

제1장 서론

제2장 주요 요약

제3장 시장 개요

제4장 딥러닝 시장 : 컴포넌트별

제5장 딥러닝 시장 : 용도별

제6장 딥러닝 시장 : 산업별

제7장 딥러닝 시장 : 지역별

제8장 경쟁 상황

제9장 기업 개요