시장보고서
상품코드
1338891

딥러닝 시장 점유율, 규모, 동향, 산업 분석 보고서 : 솔루션별, 하드웨어별, 최종 용도별, 지역별, 부문별 예측(2023-2032년)

Deep Learning Market Share, Size, Trends, Industry Analysis Report, By Solution; By Hardware; By Application (Image Recognition, Voice Recognition); By End-use; By Region; Segment Forecast, 2023- 2032

발행일: | 리서치사: Polaris Market Research | 페이지 정보: 영문 116 Pages | 배송안내 : 1-2일 (영업일 기준)


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

Polaris Market Research의 최신 연구에 따르면, 세계 딥러닝 시장 규모는 2032년까지 1조 7,272억 4,000만 달러에 달할 것으로 예상됩니다. 이 보고서는 현재 시장 역학에 대한 자세한 인사이트와 향후 시장 성장에 대한 분석을 제공합니다.

딥러닝은 자연어 처리, 음성인식, 자율주행차 등 최신 기술에 필수적인 요소로 자리 잡았습니다. 이러한 성장은 데이터 가용성의 증가와 GPU 및 FPGA와 같은 하드웨어의 발전 등 여러 가지 요인에 기인합니다. 또한, 지능형 의사결정 시스템의 필요성, 빅데이터 분석의 성장, 클라우드 기반 기술의 채택 증가도 세계 시장의 괄목할 만한 성장에 기여하고 있습니다.

2021년 5월, 구글 클라우드는 버텍스(Vertex) AI 플랫폼을 발표했습니다. 이 플랫폼은 사전 구축된 도구와 워크플로우를 제공함으로써 머신러닝 모델 개발 및 도입 과정을 간소화하는 것을 목표로 합니다. 이번 발표는 AI와 ML 역량을 강화하고 시장에서 경쟁력을 유지하기 위한 구글의 지속적인 노력에 따른 것입니다.

또한, 클라우드 기반 딥러닝 플랫폼과 소프트웨어 솔루션에 대한 통합은 시장 확대를 더욱 가속화하고 있습니다. 주요 촉진요인 중 하나는 데이터 가용성의 증가로 인해 딥러닝 알고리즘이 더욱 정확하고 효과적일 수 있게 되었다는 점입니다. 데이터 가용성, 고급 하드웨어 개발, 금융 및 소매 등 다양한 산업 분야로의 적용은 앞으로도 시장 성장을 견인할 것으로 예상됩니다.

딥러닝 시장 보고서 주요 내용

소프트웨어 분야는 개발자가 접근할 수 있는 소프트웨어 도구의 양이 증가하고, 세계 시장 전체에 대한 경험이 증가하면서 2022년 세계 시장 점유율의 대부분을 차지했습니다.

그래픽 처리 장치(GPU) 부문은 2022년 세계 시장을 장악하고 높은 메모리 대역폭과 처리량을 차지할 것으로 예상됩니다. 또한 향후 시장 성장으로 이어질 시장 성능을 향상시킬 것입니다.

이미지 인식 분야는 조사 기간 동안 가장 빠른 CAGR로 성장할 것으로 예상되며, 이는 시각적 검색, 얼굴 인식 등 다양한 기능에 의해 주도될 것으로 보입니다.

자동차 산업 부문은 효율적이고 신뢰할 수 있는 성능의 결과로 대규모 컴퓨팅 성능에 대한 광범위한 요구로 인해 큰 매출 점유율을 차지하며 시장을 주도하고 있습니다.

북미 지역은 해당 국가에서 딥러닝과 이미지 인식 분야의 통합이 확대되고 있다는 이유로 2022년 세계 시장을 독차지할 것으로 예상했습니다.

목차

제1장 서론

제2장 주요 요약

제3장 조사 방법

제4장 세계의 딥러닝 시장에 관한 인사이트

  • 딥러닝 - 업계 현황
  • 딥러닝 시장 역학
    • 성장 촉진요인과 기회
      • 빅데이터 분석 보급률 향상
      • 딥러닝 알고리즘 개선
    • 성장 억제요인과 과제
      • 딥러닝 모델 확장성
  • PESTLE 분석
  • 딥러닝 업계 동향
  • 밸류체인 분석
  • COVID-19 감염증의 영향 분석

제5장 세계의 딥러닝 시장, 솔루션별

  • 주요 조사 결과
  • 서론
  • 하드웨어
  • 소프트웨어
  • 서비스

제6장 세계의 딥러닝 시장, 용도별

  • 주요 조사 결과
  • 서론
  • 영상 인식
  • 음성 인식
  • 비디오 감시와 진단
  • 데이터 마이닝

제7장 세계의 딥러닝 시장, 최종 용도별

  • 주요 조사 결과
  • 서론
  • 자동차
  • 항공우주와 방위
  • 헬스케어
  • 소매
  • 기타

제8장 세계의 딥러닝 시장, 하드웨어별

  • 주요 조사 결과
  • 서론
  • 중앙처리장치(CPU)
  • 그래픽스 프로세싱 유닛(GPU)
  • 필드 프로그래머블 게이트 어레이(FPGA)
  • 특정 용도용 집적회로(ASIC)

제9장 세계의 딥러닝 시장, 지역별

  • 주요 조사 결과
  • 서론
    • 딥러닝 시장 평가, 지역별, 2019-2032년
  • 딥러닝 시장 - 북미
    • 북미 : 딥러닝 시장, 솔루션별, 2019-2032년
    • 북미 : 딥러닝 시장, 하드웨어별, 2019-2032년
    • 북미 : 딥러닝 시장, 용도별, 2019-2032년
    • 북미 : 딥러닝 시장, 최종사용별, 2019-2032년
    • 딥러닝 시장 - 미국
    • 딥러닝 시장 - 캐나다
  • 딥러닝 시장 - 유럽
    • 유럽 : 딥러닝 시장, 솔루션별, 2019-2032년
    • 유럽 : 딥러닝 시장, 하드웨어별, 2019-2032년
    • 유럽 : 딥러닝 시장, 용도별, 2019-2032년
    • 유럽 : 딥러닝 시장, 최종사용별, 2019-2032년
    • 딥러닝 시장 - 영국
    • 딥러닝 시장 - 프랑스
    • 딥러닝 시장 - 독일
    • 딥러닝 시장 - 이탈리아
    • 딥러닝 시장 - 스페인
    • 딥러닝 시장 - 네델란드
    • 딥러닝 시장 - 러시아
  • 딥러닝 시장 - 아시아태평양
    • 아시아태평양 : 딥러닝 시장, 솔루션별, 2019-2032년
    • 아시아태평양 : 딥러닝 시장, 하드웨어별, 2019-2032년
    • 아시아태평양 : 딥러닝 시장, 용도별, 2019-2032년
    • 아시아태평양 : 딥러닝 시장, 최종사용별, 2019-2032년
    • 딥러닝 시장 - 중국
    • 딥러닝 시장 - 인도
    • 딥러닝 시장 - 일본
    • 딥러닝 시장 - 말레이시아
    • 딥러닝 시장 - 인도네시아
    • 딥러닝 시장 - 한국
  • 딥러닝 시장 - 중동 및 아프리카
    • 중동 및 아프리카 : 딥러닝 시장, 솔루션별, 2019-2032년
    • 중동 및 아프리카 : 딥러닝 시장, 하드웨어별, 2019-2032년
    • 중동 및 아프리카 : 딥러닝 시장, 용도별, 2019-2032년
    • 중동 및 아프리카 : 딥러닝 시장, 최종사용별, 2019-2032년
    • 딥러닝 시장 - 사우디아라비아
    • 딥러닝 시장 - 남아프리카공화국
    • 딥러닝 시장 - 이스라엘
    • 딥러닝 시장 - 아랍에미리트
  • 딥러닝 시장 - 라틴아메리카
    • 라틴아메리카 : 딥러닝 시장, 솔루션별, 2019-2032년
    • 라틴아메리카 : 딥러닝 시장, 하드웨어별, 2019-2032년
    • 라틴아메리카 : 딥러닝 시장, 용도별, 2019-2032년
    • 라틴아메리카 : 딥러닝 시장, 최종사용별, 2019-2032년
    • 딥러닝 시장 - 멕시코
    • 딥러닝 시장 - 브라질
    • 딥러닝 시장 - 아르헨티나

제10장 경쟁 상황

  • 확장과 인수 분석
    • 확대
    • 인수
  • 제휴/협업/합의/공개

제11장 기업 개요

  • Advanced Micro Devices
  • Amazon Web Services
  • Google
  • IBM Corporation
  • Intel Corporation
  • Microsoft
  • NVIDIA Corporation
  • Qualcomm Technologies
  • Samsung
  • Xilinx
  • ARM
  • Clarifai, Inc
  • Entilic
  • HyperVerge
ksm 23.09.26

The global deep learning market size is expected to reach USD 1,727.24 billion by 2032, according to a new study by Polaris Market Research. The report "Deep Learning Market Share, Size, Trends, Industry Analysis Report, By Solution; By Hardware; By Application (Image Recognition, Voice Recognition); By End-use; By Region; Segment Forecast, 2023-2032" gives a detailed insight into current market dynamics and provides analysis on future market growth.

Deep learning has become a crucial component of modern technologies, such as natural language processing, speech recognition, and autonomous vehicles. This growth is due to several factors, including the increasing availability of data and advancements in hardware, such as GPUs and FPGAs. Its applications are spreading across industries including healthcare creating growth opportunities for global market, contributing to the remarkable growth of the global market is also driven by the need for intelligent decision-making systems, growth in big data analytics, and the increasing adoption of cloud-based technologies are creating lucrative opportunities for market growth in the coming years.

In May 2021, Google Cloud introduced the Vertex AI platform. The platform aims to simplify the process of developing and deploying machine learning models by offering pre-built tools and workflows. This launch is in line with Google's ongoing efforts to enhance its AI and ML capabilities and remain competitive in the market.

Additionally, cloud-based deep learning platforms and integration into software solutions are further accelerating market expansion. One of the primary drivers is the increasing availability of data, which has enabled deep learning algorithms to become more accurate and effective. Data availability, advanced hardware development, and various industry applications, such as finance, and retail, are expected to continue fueling the growth of the market in the future.

Deep learning market report highlights

Software segment accounted for major global market share in 2022 due to the rise in the quantity of software tools accessible to developers which enhanced the overall global market experience.

The graphics processing unit (GPU) segment dominated the global market in 2022 and accounted for high memory bandwidth and throughput. It also enhances the performance of the market which led to future market growth.

Image recognition segment is projected to grow at a fastest CAGR during the study period, which is driven by its variety of features including visual search, facial recognition

The automotive industry segment led the market with a holding of significant revenue share due to extensive need for massive computational power as a result of efficient and reliable performance.

North America region dominated the global market in 2022 on account of increasing expansion of integrating deep learning and image recognition sector in such countries.

The global key market players include: Advanced Micro Devices Inc., Amazon Web Services Inc., Google LLC, IBM Corporation, Intel Corporation.

Polaris Market Research has segmented the Deep Learning market report based on solution, hardware, application, end-use and region:

Deep Learning, Solution Outlook (Revenue - USD Billion, 2019 - 2032)

  • Hardware
  • Software
  • Services

Deep Learning, Hardware Outlook (Revenue - USD Billion, 2019 - 2032)

  • Central Processing Unit (CPU)
  • Graphics Processing Unit (GPU)
  • Field Programmable Gate array (FPGA)
  • Application-Specific Integration Circuit (ASIC)

Deep Learning, Application Outlook (Revenue - USD Billion, 2019 - 2032)

  • Image Recognition
  • Voice Recognition
  • Video Surveillance & diagnostics
  • Data mining

Deep Learning, End-Use Outlook (Revenue - USD Billion, 2019 - 2032)

  • Automotive
  • Aerospace & Defense
  • Healthcare
  • Retail
  • Others

Deep Learning, Regional Outlook (Revenue - USD Billion, 2019 - 2032)

  • North America
  • U.S.
  • Canada
  • Europe
  • Germany
  • UK
  • France
  • Italy
  • Spain
  • Russia
  • Netherlands
  • Asia Pacific
  • China
  • India
  • Japan
  • South Korea
  • Indonesia
  • Malaysia
  • Latin America
  • Argentina
  • Brazil
  • Mexico
  • Middle East & Africa
  • UAE
  • Saudi Arabia
  • Israel
  • South Africa

Table of Contents

1. Introduction

  • 1.1. Report Description
    • 1.1.1. Objectives of the Study
    • 1.1.2. Market Scope
    • 1.1.3. Assumptions
  • 1.2. Stakeholders

2. Executive Summary

  • 2.1. Market Highlights

3. Research Methodology

  • 3.1. Overview
    • 3.1.1. Data Mining
  • 3.2. Data Sources
    • 3.2.1. Primary Sources
    • 3.2.2. Secondary Sources

4. Global Deep Learning Market Insights

  • 4.1. Deep Learning - Industry Snapshot
  • 4.2. Deep Learning Market Dynamics
    • 4.2.1. Drivers and Opportunities
      • 4.2.1.1. Increased penetration in big data analytics
      • 4.2.1.2. Improvement in deep learning algorithms
    • 4.2.2. Restraints and Challenges
      • 4.2.2.1. Scalability of deep learning models
  • 4.3. Porter's Five Forces Analysis
    • 4.3.1. Bargaining Power of Suppliers (Moderate)
    • 4.3.2. Threats of New Entrants: (Low)
    • 4.3.3. Bargaining Power of Buyers (Moderate)
    • 4.3.4. Threat of Substitute (Moderate)
    • 4.3.5. Rivalry among existing firms (High)
  • 4.4. PESTLE Analysis
  • 4.5. Deep Learning Industry Trends
  • 4.6. Value Chain Analysis
  • 4.7. COVID-19 Impact Analysis

5. Global Deep Learning Market, by Solution

  • 5.1. Key Findings
  • 5.2. Introduction
    • 5.2.1. Global Deep Learning Market, by Solution, 2019-2032 (USD Billion)
  • 5.3. Hardware
    • 5.3.1. Global Deep Learning Market, by Hardware, by Region, 2019-2032 (USD Billion)
  • 5.4. Software
    • 5.4.1. Global Deep Learning Market, by Software, by Region, 2019-2032 (USD Billion)
  • 5.5. Services
    • 5.5.1. Global Deep Learning Market, by Services, by Region, 2019-2032 (USD Billion)

6. Global Deep Learning Market, by Application

  • 6.1. Key Findings
  • 6.2. Introduction
    • 6.2.1. Global Deep Learning Market, by Application, 2019-2032 (USD Billion)
  • 6.3. Image recognition
    • 6.3.1. Global Deep Learning Market, by Image recognition, by Region, 2019-2032 (USD Billion)
  • 6.4. Voice recognition
    • 6.4.1. Global Deep Learning Market, by Voice recognition, by Region, 2019-2032 (USD Billion)
  • 6.5. Video surveillance & diagnostics
    • 6.5.1. Global Deep Learning Market, by Video surveillance & diagnostics, by Region, 2019-2032 (USD Billion)
  • 6.6. Data mining
    • 6.6.1. Global Deep Learning Market, by Data mining, by Region, 2019-2032 (USD Billion)

7. Global Deep Learning Market, by End-use

  • 7.1. Key Findings
  • 7.2. Introduction
    • 7.2.1. Global Deep Learning Market, by End-use, 2019-2032 (USD Billion)
  • 7.3. Automotive
    • 7.3.1. Global Deep Learning Market, by Automotive, by Region, 2019-2032 (USD Billion)
  • 7.4. Aerospace & Defence
    • 7.4.1. Global Deep Learning Market, by Aerospace & Defence, by Region, 2019-2032 (USD Billion)
  • 7.5. Healthcare
    • 7.5.1. Global Deep Learning Market, by Healthcare, by Region, 2019-2032 (USD Billion)
  • 7.6. Retail
    • 7.6.1. Global Deep Learning Market, by Retail, by Region, 2019-2032 (USD Billion)
  • 7.7. Others
    • 7.7.1. Global Deep Learning Market, by Others, by Region, 2019-2032 (USD Billion)

8. Global Deep Learning Market, by Hardware

  • 8.1. Key Findings
  • 8.2. Introduction
    • 8.2.1. Global Deep Learning Market, by Hardware, 2019-2032 (USD Billion)
  • 8.3. Central Processing Unit (CPU)
    • 8.3.1. Global Deep Learning Market, by Central Processing Unit (CPU), by Region, 2019-2032 (USD Billion)
  • 8.4. Graphics Processing Unit (GPU)
    • 8.4.1. Global Deep Learning Market, by Graphics Processing Unit (GPU), by Region, 2019-2032 (USD Billion)
  • 8.5. Field Programmable Gate array (FPGA)
    • 8.5.1. Global Deep Learning Market, by Field Programmable Gate array (FPGA), by Region, 2019-2032 (USD Billion)
  • 8.6. Application-Specific Integration Circuit (ASIC)
    • 8.6.1. Global Deep Learning Market, by Application-Specific Integration Circuit (ASIC), by Region, 2019-2032 (USD Billion)

9. Global Deep Learning Market, by Geography

  • 9.1. Key findings
  • 9.2. Introduction
    • 9.2.1. Deep Learning Market Assessment, By Geography, 2019-2032 (USD Billion)
  • 9.3. Deep Learning Market - North America
    • 9.3.1. North America: Deep Learning Market, by Solution, 2019-2032 (USD Billion)
    • 9.3.2. North America: Deep Learning Market, by Hardware, 2019-2032 (USD Billion)
    • 9.3.3. North America: Deep Learning Market, by Application, 2019-2032 (USD Billion)
    • 9.3.4. North America: Deep Learning Market, by End-use, 2019-2032 (USD Billion)
    • 9.3.5. Deep Learning Market - U.S.
      • 9.3.5.1. U.S.: Deep Learning Market, by Solution, 2019-2032 (USD Billion)
      • 9.3.5.2. U.S.: Deep Learning Market, by Hardware, 2019-2032 (USD Billion)
      • 9.3.5.3. U.S.: Deep Learning Market, by Application, 2019-2032 (USD Billion)
      • 9.3.5.4. U.S.: Deep Learning Market, by End-use, 2019-2032 (USD Billion)
    • 9.3.6. Deep Learning Market - Canada
      • 9.3.6.1. Canada: Deep Learning Market, by Solution, 2019-2032 (USD Billion)
      • 9.3.6.2. Canada: Deep Learning Market, by Hardware, 2019-2032 (USD Billion)
      • 9.3.6.3. Canada: Deep Learning Market, by Application, 2019-2032 (USD Billion)
      • 9.3.6.4. Canada: Deep Learning Market, by End-use, 2019-2032 (USD Billion)
  • 9.4. Deep Learning Market - Europe
    • 9.4.1. Europe: Deep Learning Market, by Solution, 2019-2032 (USD Billion)
    • 9.4.2. Europe: Deep Learning Market, by Hardware, 2019-2032 (USD Billion)
    • 9.4.3. Europe: Deep Learning Market, by Application, 2019-2032 (USD Billion)
    • 9.4.4. Europe: Deep Learning Market, by End-use, 2019-2032 (USD Billion)
    • 9.4.5. Deep Learning Market - UK
      • 9.4.5.1. UK: Deep Learning Market, by Solution, 2019-2032 (USD Billion)
      • 9.4.5.2. UK: Deep Learning Market, by Hardware, 2019-2032 (USD Billion)
      • 9.4.5.3. UK: Deep Learning Market, by Application, 2019-2032 (USD Billion)
      • 9.4.5.4. UK: Deep Learning Market, by End-use, 2019-2032 (USD Billion)
    • 9.4.6. Deep Learning Market - France
      • 9.4.6.1. France: Deep Learning Market, by Solution, 2019-2032 (USD Billion)
      • 9.4.6.2. France: Deep Learning Market, by Hardware, 2019-2032 (USD Billion)
      • 9.4.6.3. France: Deep Learning Market, by Application, 2019-2032 (USD Billion)
      • 9.4.6.4. France: Deep Learning Market, by End-use, 2019-2032 (USD Billion)
    • 9.4.7. Deep Learning Market - Germany
      • 9.4.7.1. Germany: Deep Learning Market, by Solution, 2019-2032 (USD Billion)
      • 9.4.7.2. Germany: Deep Learning Market, by Hardware, 2019-2032 (USD Billion)
      • 9.4.7.3. Germany: Deep Learning Market, by Application, 2019-2032 (USD Billion)
      • 9.4.7.4. Germany: Deep Learning Market, by End-use, 2019-2032 (USD Billion)
    • 9.4.8. Deep Learning Market - Italy
      • 9.4.8.1. Italy: Deep Learning Market, by Solution, 2019-2032 (USD Billion)
      • 9.4.8.2. Italy: Deep Learning Market, by Hardware, 2019-2032 (USD Billion)
      • 9.4.8.3. Italy: Deep Learning Market, by Application, 2019-2032 (USD Billion)
      • 9.4.8.4. Italy: Deep Learning Market, by End-use, 2019-2032 (USD Billion)
    • 9.4.9. Deep Learning Market - Spain
      • 9.4.9.1. Spain: Deep Learning Market, by Solution, 2019-2032 (USD Billion)
      • 9.4.9.2. Spain: Deep Learning Market, by Hardware, 2019-2032 (USD Billion)
      • 9.4.9.3. Spain: Deep Learning Market, by Application, 2019-2032 (USD Billion)
      • 9.4.9.4. Spain: Deep Learning Market, by End-use, 2019-2032 (USD Billion)
    • 9.4.10. Deep Learning Market - Netherlands
      • 9.4.10.1. Netherlands: Deep Learning Market, by Solution, 2019-2032 (USD Billion)
      • 9.4.10.2. Netherlands: Deep Learning Market, by Hardware, 2019-2032 (USD Billion)
      • 9.4.10.3. Netherlands: Deep Learning Market, by Application, 2019-2032 (USD Billion)
      • 9.4.10.4. Netherlands: Deep Learning Market, by End-use, 2019-2032 (USD Billion)
    • 9.4.11. Deep Learning Market - Russia
      • 9.4.11.1. Russia: Deep Learning Market, by Solution, 2019-2032 (USD Billion)
      • 9.4.11.2. Russia.: Deep Learning Market, by Hardware, 2019-2032 (USD Billion)
      • 9.4.11.3. Russia: Deep Learning Market, by Application, 2019-2032 (USD Billion)
      • 9.4.11.4. Russia: Deep Learning Market, by End-use, 2019-2032 (USD Billion)
  • 9.5. Deep Learning Market - Asia Pacific
    • 9.5.1. Asia Pacific: Deep Learning Market, by Solution, 2019-2032 (USD Billion)
    • 9.5.2. Asia Pacific: Deep Learning Market, by Hardware, 2019-2032 (USD Billion)
    • 9.5.3. Asia Pacific: Deep Learning Market, by Application, 2019-2032 (USD Billion)
    • 9.5.4. Asia Pacific: Deep Learning Market, by End-use, 2019-2032 (USD Billion)
    • 9.5.5. Deep Learning Market - China
      • 9.5.5.1. China: Deep Learning Market, by Solution, 2019-2032 (USD Billion)
      • 9.5.5.2. China.: Deep Learning Market, by Hardware, 2019-2032 (USD Billion)
      • 9.5.5.3. China: Deep Learning Market, by Application, 2019-2032 (USD Billion)
      • 9.5.5.4. China: Deep Learning Market, by End-use, 2019-2032 (USD Billion)
    • 9.5.6. Deep Learning Market - India
      • 9.5.6.1. India: Deep Learning Market, by Solution, 2019-2032 (USD Billion)
      • 9.5.6.2. India.: Deep Learning Market, by Hardware, 2019-2032 (USD Billion)
      • 9.5.6.3. India: Deep Learning Market, by Application, 2019-2032 (USD Billion)
      • 9.5.6.4. India: Deep Learning Market, by End-use, 2019-2032 (USD Billion)
    • 9.5.7. Deep Learning Market - Japan
      • 9.5.7.1. Japan: Deep Learning Market, by Solution, 2019-2032 (USD Billion)
      • 9.5.7.2. Japan.: Deep Learning Market, by Hardware, 2019-2032 (USD Billion)
      • 9.5.7.3. Japan: Deep Learning Market, by Application, 2019-2032 (USD Billion)
      • 9.5.7.4. Japan: Deep Learning Market, by End-use, 2019-2032 (USD Billion)
    • 9.5.8. Deep Learning Market - Malaysia
      • 9.5.8.1. Malaysia: Deep Learning Market, by Solution, 2019-2032 (USD Billion)
      • 9.5.8.2. Malaysia.: Deep Learning Market, by Hardware, 2019-2032 (USD Billion)
      • 9.5.8.3. Malaysia: Deep Learning Market, by Application, 2019-2032 (USD Billion)
      • 9.5.8.4. Malaysia: Deep Learning Market, by End-use, 2019-2032 (USD Billion)
    • 9.5.9. Deep Learning Market - Indonesia
      • 9.5.9.1. Indonesia: Deep Learning Market, by Solution, 2019-2032 (USD Billion)
      • 9.5.9.2. Indonesia.: Deep Learning Market, by Hardware, 2019-2032 (USD Billion)
      • 9.5.9.3. Indonesia: Deep Learning Market, by Application, 2019-2032 (USD Billion)
      • 9.5.9.4. Indonesia: Deep Learning Market, by End-use, 2019-2032 (USD Billion)
    • 9.5.10. Deep Learning Market - South Korea
      • 9.5.10.1. South Korea: Deep Learning Market, by Solution, 2019-2032 (USD Billion)
      • 9.5.10.2. South Korea.: Deep Learning Market, by Hardware, 2019-2032 (USD Billion)
      • 9.5.10.3. South Korea: Deep Learning Market, by Application, 2019-2032 (USD Billion)
      • 9.5.10.4. South Korea: Deep Learning Market, by End-use, 2019-2032 (USD Billion)
  • 9.6. Deep Learning Market - Middle East & Africa
    • 9.6.1. Middle East & Africa: Deep Learning Market, by Solution, 2019-2032 (USD Billion)
    • 9.6.2. Middle East & Africa: Deep Learning Market, by Hardware, 2019-2032 (USD Billion)
    • 9.6.3. Middle East & Africa: Deep Learning Market, by Application, 2019-2032 (USD Billion)
    • 9.6.4. Middle East & Africa: Deep Learning Market, by End-use, 2019-2032 (USD Billion)
    • 9.6.5. Deep Learning Market - Saudi Arabia
      • 9.6.5.1. Saudi Arabia: Deep Learning Market, by Solution, 2019-2032 (USD Billion)
      • 9.6.5.2. Saudi Arabia: Deep Learning Market, by Hardware, 2019-2032 (USD Billion)
      • 9.6.5.3. Saudi Arabia: Deep Learning Market, by Application, 2019-2032 (USD Billion)
      • 9.6.5.4. Saudi Arabia: Deep Learning Market, by End-use, 2019-2032 (USD Billion)
    • 9.6.6. Deep Learning Market - South Africa
      • 9.6.6.1. South Africa: Deep Learning Market, by Solution, 2019-2032 (USD Billion)
      • 9.6.6.2. South Africa: Deep Learning Market, by Hardware, 2019-2032 (USD Billion)
      • 9.6.6.3. South Africa: Deep Learning Market, by Application, 2019-2032 (USD Billion)
      • 9.6.6.4. South Africa: Deep Learning Market, by End-use, 2019-2032 (USD Billion)
    • 9.6.7. Deep Learning Market - Israel
      • 9.6.7.1. Israel: Deep Learning Market, by Solution, 2019-2032 (USD Billion)
      • 9.6.7.2. Israel: Deep Learning Market, by Hardware, 2019-2032 (USD Billion)
      • 9.6.7.3. Israel: Deep Learning Market, by Application, 2019-2032 (USD Billion)
      • 9.6.7.4. Israel: Deep Learning Market, by End-use, 2019-2032 (USD Billion)
    • 9.6.8. Deep Learning Market - UAE
      • 9.6.8.1. UAE: Deep Learning Market, by Solution, 2019-2032 (USD Billion)
      • 9.6.8.2. UAE: Deep Learning Market, by Hardware, 2019-2032 (USD Billion)
      • 9.6.8.3. UAE: Deep Learning Market, by Application, 2019-2032 (USD Billion)
      • 9.6.8.4. UAE: Deep Learning Market, by End-use, 2019-2032 (USD Billion)
  • 9.7. Deep Learning Market - Latin America
    • 9.7.1. Latin America: Deep Learning Market, by Solution, 2019-2032 (USD Billion)
    • 9.7.2. Latin America: Deep Learning Market, by Hardware, 2019-2032 (USD Billion)
    • 9.7.3. Latin America: Deep Learning Market, by Application, 2019-2032 (USD Billion)
    • 9.7.4. Latin America: Deep Learning Market, by End-use, 2019-2032 (USD Billion)
    • 9.7.5. Deep Learning Market - Mexico
      • 9.7.5.1. Mexico: Deep Learning Market, by Solution, 2019-2032 (USD Billion)
      • 9.7.5.2. Mexico: Deep Learning Market, by Hardware, 2019-2032 (USD Billion)
      • 9.7.5.3. Mexico: Deep Learning Market, by Application, 2019-2032 (USD Billion)
      • 9.7.5.4. Mexico: Deep Learning Market, by End-use, 2019-2032 (USD Billion)
    • 9.7.6. Deep Learning Market - Brazil
      • 9.7.6.1. Brazil: Deep Learning Market, by Solution, 2019-2032 (USD Billion)
      • 9.7.6.2. Brazil: Deep Learning Market, by Hardware, 2019-2032 (USD Billion)
      • 9.7.6.3. Brazil: Deep Learning Market, by Application, 2019-2032 (USD Billion)
      • 9.7.6.4. Brazil: Deep Learning Market, by End-use, 2019-2032 (USD Billion)
    • 9.7.7. Deep Learning Market - Argentina
      • 9.7.7.1. Argentina: Deep Learning Market, by Solution, 2019-2032 (USD Billion)
      • 9.7.7.2. Argentina: Deep Learning Market, by Hardware, 2019-2032 (USD Billion)
      • 9.7.7.3. Argentina: Deep Learning Market, by Application, 2019-2032 (USD Billion)
      • 9.7.7.4. Argentina: Deep Learning Market, by End-use, 2019-2032 (USD Billion)

10. Competitive Landscape

  • 10.1. Expansion and Acquisition Analysis
    • 10.1.1. Expansion
    • 10.1.2. Acquisitions
  • 10.2. Partnerships/Collaborations/Agreements/Exhibitions

11. Company Profiles

  • 11.1. Advanced Micro Devices
    • 11.1.1. Company Overview
    • 11.1.2. Financial Performance
    • 11.1.3. Product Benchmarking
    • 11.1.4. Recent Development
  • 11.2. Amazon Web Services
    • 11.2.1. Company Overview
    • 11.2.2. Financial Performance
    • 11.2.3. Product Benchmarking
    • 11.2.4. Recent Development
  • 11.3. Google
    • 11.3.1. Company Overview
    • 11.3.2. Financial Performance
    • 11.3.3. Product Benchmarking
    • 11.3.4. Recent Development
  • 11.4. IBM Corporation
    • 11.4.1. Company Overview
    • 11.4.2. Financial Performance
    • 11.4.3. Product Benchmarking
    • 11.4.4. Recent Development
  • 11.5. Intel Corporation
    • 11.5.1. Company Overview
    • 11.5.2. Financial Performance
    • 11.5.3. Product Benchmarking
    • 11.5.4. Recent Development
  • 11.6. Microsoft
    • 11.6.1. Company Overview
    • 11.6.2. Financial Performance
    • 11.6.3. Product Benchmarking
    • 11.6.4. Recent Development
  • 11.7. NVIDIA Corporation
    • 11.7.1. Company Overview
    • 11.7.2. Financial Performance
    • 11.7.3. Product Benchmarking
    • 11.7.4. Recent Development
  • 11.8. Qualcomm Technologies
    • 11.8.1. Company Overview
    • 11.8.2. Financial Performance
    • 11.8.3. Product Benchmarking
    • 11.8.4. Recent Development
  • 11.9. Samsung
    • 11.9.1. Company Overview
    • 11.9.2. Financial Performance
    • 11.9.3. Product Benchmarking
    • 11.9.4. Recent Development
  • 11.10. Xilinx
    • 11.10.1. Company Overview
    • 11.10.2. Financial Performance
    • 11.10.3. Product Benchmarking
    • 11.10.4. Recent Development
  • 11.11. ARM
    • 11.11.1. Company Overview
    • 11.11.2. Financial Performance
    • 11.11.3. Product Benchmarking
    • 11.11.4. Recent Development
  • 11.12. Clarifai, Inc
    • 11.12.1. Company Overview
    • 11.12.2. Financial Performance
    • 11.12.3. Product Benchmarking
    • 11.12.4. Recent Development
  • 11.13. Entilic
    • 11.13.1. Company Overview
    • 11.13.2. Financial Performance
    • 11.13.3. Product Benchmarking
    • 11.13.4. Recent Development
  • 11.14. HyperVerge
    • 11.14.1. Company Overview
    • 11.14.2. Financial Performance
    • 11.14.3. Product Benchmarking
    • 11.14.4. Recent Development
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