시장보고서
상품코드
1192969

자기지도학습 시장 : 기술별, 업종별 - 세계 기회 분석과 산업 예측(2021-2031년)

Self Supervised Learning Market By Technology, By Industry Vertical : Global Opportunity Analysis and Industry Forecast, 2021-2031

발행일: | 리서치사: Allied Market Research | 페이지 정보: 영문 334 Pages | 배송안내 : 2-3일 (영업일 기준)

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

자기지도학습(Self-supervised learning, SSL)은 머신러닝의 일종이며, 모델이 구조화되어 있지 않은 데이터를 입력으로 주었을 때 자동적으로 데이터 라벨을 생성하고, 그것을 이후의 반복에서 실측 자료로서 사용하는 것입니다.

목차

제1장 서론

제2장 주요 요약

제3장 시장 개요

  • 시장 정의와 범위
  • 주요 조사 결과
    • 주요 투자 포켓
  • Porter's Five Forces 분석
  • 주요 기업의 포지셔닝
  • 시장 역학
    • 성장 촉진요인
    • 성장 억제요인
    • 기회
  • COVID-19 영향 분석

제4장 자기지도학습 시장 : 기술별

  • 개요
    • 시장 규모와 예측
  • 자연언어처리
    • 주요 시장 동향·성장 촉진요인·기회
    • 시장 규모와 예측 : 지역별
    • 시장 분석 : 국가별
  • 컴퓨터 비전
    • 주요 시장 동향, 성장 촉진요인, 기회
    • 시장 규모와 예측 : 지역별
    • 시장 분석 : 국가별
  • 음성 처리
    • 주요 시장 동향, 성장 촉진요인, 기회
    • 시장 규모와 예측 : 지역별
    • 시장 분석 : 국가별

제5장 자기지도학습 시장 : 업계별

  • 개요
    • 시장 규모와 예측
  • BFSI
    • 주요 시장 동향, 성장 촉진요인과 기회
    • 시장 규모와 예측 : 지역별
    • 시장 분석 : 국가별
  • 헬스케어
    • 주요 시장 동향, 성장 촉진요인, 기회
    • 시장 규모와 예측 : 지역별
    • 시장 분석 : 국가별
  • 미디어·엔터테인먼트
    • 주요 시장 동향, 성장 촉진요인, 기회
    • 시장 규모와 예측 : 지역별
    • 시장 분석 : 국가별
  • IT
    • 주요 시장 동향, 성장 촉진요인, 기회
    • 시장 규모와 예측 : 지역별
    • 시장 분석 : 국가별
  • 제조업
    • 주요 시장 동향, 성장 촉진요인, 기회
    • 시장 규모와 예측 : 지역별
    • 시장 분석 : 국가별
  • 기타
    • 주요 시장 동향, 성장 촉진요인, 기회
    • 시장 규모와 예측 : 지역별
    • 시장 분석 : 국가별

제6장 자기지도학습 시장 : 지역별

  • 개요
    • 시장 규모와 예측
  • 북미
    • 주요 동향과 기회
    • 북미 시장 규모와 예측 : 기술별
    • 북미 시장 규모와 예측 : 업계별
    • 북미 시장 규모와 예측 : 국가별
      • 미국
      • 캐나다
  • 유럽
    • 주요 동향과 기회
    • 유럽 시장 규모와 예측 : 기술별
    • 유럽 시장 규모와 예측 : 업계별
    • 유럽 시장 규모와 예측 : 국가별
      • 영국
      • 독일
      • 프랑스
      • 이탈리아
      • 스페인
      • 네덜란드
      • 기타 유럽
  • 아시아태평양
    • 주요 동향과 기회
    • 아시아태평양 시장 규모와 예측 : 기술별
    • 아시아태평양 시장 규모와 예측 : 업계별
    • 아시아태평양 시장 규모와 예측 : 국가별
      • 중국
      • 일본
      • 인도
      • 호주
      • 한국
      • 기타 아시아태평양
  • LAMEA
    • 주요 동향과 기회
    • LAMEA 시장 규모와 예측 : 기술별
    • LAMEA 시장 규모와 예측 : 업계별
    • LAMEA 시장 규모와 예측 : 국가별
      • 라틴아메리카
      • 중동
      • 아프리카

제7장 기업 상황

  • 서론
  • 주요 성공 전략
  • 주요 10개사 제품 매핑
  • 경쟁 대시보드
  • 경쟁 히트맵
  • 주요 발전

제8장 기업 개요

  • IBM CORPORATION
  • Alphabet Inc.(Google LLC)
  • Microsoft Corporation
  • Amazon Web Series
  • SAS Institute
  • Dataiku
  • The MathWorks, Inc.
  • Meta
  • Databricks
  • DataRobot, Inc.
  • Apple, Inc.
  • Tesla
  • Baidu, Inc.
  • Alison
  • Brain4ce Education Solutions Pvt. Ltd.
  • DataCamp, Inc.
  • edX LLC.
KSM 23.03.09

Self-supervised learning (SSL) is a Machine Learning paradigm where a model, when fed with unstructured data as input, generates data labels automatically, which are further used in subsequent iterations as ground truths. The fundamental idea for self-supervised learning is to generate supervisory signals by making sense of the unlabeled data provided to it in an unsupervised fashion on the first iteration. Self-supervised learning also entails training a model with data and their labels, but the labels here are generated by the model itself and are not available at the very start.

Supervised learning relies heavily on large volumes of high-quality labeled data, which is very costly and time-consuming. This is a huge limitation in the domains such as medical imaging, where only expert medical professionals can manually annotate the data. Moreover, Developers who want to create an image classification algorithm, therefore, create supervised learning-capable systems to collect comprehensive data to get a representative sample. Apart from feeding the computer image datasets, developers need to classify the images before they can be used for training. The process is arduous and time-consuming compared with how humans approach learning. Human learning process is multifaceted. It involves both supervised and unsupervised learning processes.

The self-supervised learning market is segmented on the basis of technology, industry vertical, and region. By technology, the market is segmented into natural language processing, computer vision, and speech processing. The natural language processing segment is divided into rule-based NLP, statistical NLP, and hybrid NLP. The computer vision segmented is divided into quality assurance and inspection, positioning & guidance, measurement, identification, and predictive maintenance.

By industry vertical, the market is categorized into BFSI, healthcare, media & entertainment, IT, manufacturing, and others. The BFSI segment is further categorized into banking, financial services, and insurance. The segment is further categorized into life insurance and non-life insurance. Region wise, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.

  • The key players operating in the market include Amazon Web Service (AWS), Alison, Alphabet, Apple, Inc., Baidu, Inc., Brain4ce Education Solutions Pvt. Ltd., DataCamp, Inc., Dataiku, Databricks, Datarobot, Inc., EDX LLC., International Business Machine (IBM), Microsoft Corporation, Meta, SAS Institute, The MathWorks, Inc., and Tesla. These key players have adopted numerous key development strategies such as partnership and new product launches, which help to strengthen their grip in the self-supervised identity market.
  • Key Benefits For Stakeholders
  • This report provides a quantitative analysis of the market segments, current trends, estimations, and dynamics of the self supervised learning market analysis from 2021 to 2031 to identify the prevailing self supervised learning market opportunities.
  • The market research is offered along with information related to key drivers, restraints, and opportunities.
  • Porter's five forces analysis highlights the potency of buyers and suppliers to enable stakeholders make profit-oriented business decisions and strengthen their supplier-buyer network.
  • In-depth analysis of the self supervised learning market segmentation assists to determine the prevailing market opportunities.
  • Major countries in each region are mapped according to their revenue contribution to the global market.
  • Market player positioning facilitates benchmarking and provides a clear understanding of the present position of the market players.
  • The report includes the analysis of the regional as well as global self supervised learning market trends, key players, market segments, application areas, and market growth strategies.

Key Market Segments

By Technology

  • Natural Language Processing
    • NLP Type
    • Rule Based NLP
    • Statistical NLP
    • Hybrid NLP
  • Computer Vision
    • Computer Vision Application
    • Quality Assurance and Inspection
    • Positioning and Guidance
    • Measurement
    • Identification
    • Predictive Maintenance
  • Speech Processing

By Industry Vertical

  • BFSI
    • BFSI Type
    • Banking
    • Financial Services
    • Insurance
  • Healthcare
  • Media and Entertainment
  • IT
  • Manufacturing
  • Others

By Region

  • North America
    • U.S.
    • Canada
  • Europe
    • UK
    • Germany
    • France
    • Italy
    • Spain
    • Netherlands
    • Rest Of Europe
  • Asia-Pacific
    • China
    • Japan
    • India
    • Australia
    • South Korea
    • Rest Of Asia-Pacific
  • LAMEA
    • Latin America
    • Middle East
    • Africa
  • Key Market Players
    • IBM CORPORATION
    • Alphabet Inc. (Google LLC)
    • Microsoft Corporation
    • Amazon Web Series
    • SAS Institute
    • Dataiku
    • The MathWorks, Inc.
    • Meta
    • Databricks
    • DataRobot, Inc.
    • Apple, Inc.
    • Tesla
    • Baidu, Inc.
    • Alison
    • Brain4ce Education Solutions Pvt. Ltd.
    • DataCamp, Inc.
    • edX LLC.

TABLE OF CONTENTS

CHAPTER 1:INTRODUCTION

  • 1.1.Report description
  • 1.2.Key market segments
  • 1.3.Key benefits to the stakeholders
  • 1.4.Research Methodology
    • 1.4.1.Secondary research
    • 1.4.2.Primary research
    • 1.4.3.Analyst tools and models

CHAPTER 2:EXECUTIVE SUMMARY

  • 2.1.Key findings of the study
  • 2.2.CXO Perspective

CHAPTER 3:MARKET OVERVIEW

  • 3.1.Market definition and scope
  • 3.2.Key findings
    • 3.2.1.Top investment pockets
  • 3.3.Porter's five forces analysis
  • 3.4.Top player positioning
  • 3.5.Market dynamics
    • 3.5.1.Drivers
    • 3.5.2.Restraints
    • 3.5.3.Opportunities
  • 3.6.COVID-19 Impact Analysis on the market

CHAPTER 4: SELF SUPERVISED LEARNING MARKET, BY TECHNOLOGY

  • 4.1 Overview
    • 4.1.1 Market size and forecast
  • 4.2 Natural Language Processing
    • 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
    • 4.2.4 Natural Language Processing Self Supervised Learning Market by NLP Type
      • 4.2.4.1 Rule Based NLP Market size and forecast, by region
      • 4.2.4.2 Rule Based NLP Market size and forecast, by country
      • 4.2.4.3 Statistical NLP Market size and forecast, by region
      • 4.2.4.4 Statistical NLP Market size and forecast, by country
      • 4.2.4.5 Hybrid NLP Market size and forecast, by region
      • 4.2.4.6 Hybrid NLP Market size and forecast, by country
  • 4.3 Computer Vision
    • 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
    • 4.3.4 Computer Vision Self Supervised Learning Market by Computer Vision Application
      • 4.3.4.1 Quality Assurance and Inspection Market size and forecast, by region
      • 4.3.4.2 Quality Assurance and Inspection Market size and forecast, by country
      • 4.3.4.3 Positioning and Guidance Market size and forecast, by region
      • 4.3.4.4 Positioning and Guidance Market size and forecast, by country
      • 4.3.4.5 Measurement Market size and forecast, by region
      • 4.3.4.6 Measurement Market size and forecast, by country
      • 4.3.4.7 Identification Market size and forecast, by region
      • 4.3.4.8 Identification Market size and forecast, by country
      • 4.3.4.9 Predictive Maintenance Market size and forecast, by region
      • 4.3.4.10 Predictive Maintenance Market size and forecast, by country
  • 4.4 Speech Processing
    • 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: SELF SUPERVISED LEARNING MARKET, BY INDUSTRY VERTICAL

  • 5.1 Overview
    • 5.1.1 Market size and forecast
  • 5.2 BFSI
    • 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
    • 5.2.4 BFSI Self Supervised Learning Market by BFSI Type
      • 5.2.4.1 Banking Market size and forecast, by region
      • 5.2.4.2 Banking Market size and forecast, by country
      • 5.2.4.3 Financial Services Market size and forecast, by region
      • 5.2.4.4 Financial Services Market size and forecast, by country
      • 5.2.4.5 Insurance Market size and forecast, by region
      • 5.2.4.6 Insurance Market size and forecast, by country
  • 5.3 Healthcare
    • 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 Media and Entertainment
    • 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 IT
    • 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
  • 5.6 Manufacturing
    • 5.6.1 Key market trends, growth factors and opportunities
    • 5.6.2 Market size and forecast, by region
    • 5.6.3 Market analysis by country
  • 5.7 Others
    • 5.7.1 Key market trends, growth factors and opportunities
    • 5.7.2 Market size and forecast, by region
    • 5.7.3 Market analysis by country

CHAPTER 6: SELF SUPERVISED LEARNING MARKET, BY REGION

  • 6.1 Overview
    • 6.1.1 Market size and forecast
  • 6.2 North America
    • 6.2.1 Key trends and opportunities
    • 6.2.2 North America Market size and forecast, by Technology
      • 6.2.2.1 North America Natural Language Processing Self Supervised Learning Market by NLP Type
      • 6.2.2.2 North America Computer Vision Self Supervised Learning Market by Computer Vision Application
    • 6.2.3 North America Market size and forecast, by Industry Vertical
      • 6.2.3.1 North America BFSI Self Supervised Learning Market by BFSI Type
    • 6.2.4 North America Market size and forecast, by country
      • 6.2.4.1 U.S.
      • 6.2.4.1.1 Market size and forecast, by Technology
      • 6.2.4.1.1.1 U.S. Natural Language Processing Self Supervised Learning Market by NLP Type
      • 6.2.4.1.1.2 U.S. Computer Vision Self Supervised Learning Market by Computer Vision Application
      • 6.2.4.1.2 Market size and forecast, by Industry Vertical
      • 6.2.4.1.2.1 U.S. BFSI Self Supervised Learning Market by BFSI Type
      • 6.2.4.2 Canada
      • 6.2.4.2.1 Market size and forecast, by Technology
      • 6.2.4.2.1.1 Canada Natural Language Processing Self Supervised Learning Market by NLP Type
      • 6.2.4.2.1.2 Canada Computer Vision Self Supervised Learning Market by Computer Vision Application
      • 6.2.4.2.2 Market size and forecast, by Industry Vertical
      • 6.2.4.2.2.1 Canada BFSI Self Supervised Learning Market by BFSI Type
  • 6.3 Europe
    • 6.3.1 Key trends and opportunities
    • 6.3.2 Europe Market size and forecast, by Technology
      • 6.3.2.1 Europe Natural Language Processing Self Supervised Learning Market by NLP Type
      • 6.3.2.2 Europe Computer Vision Self Supervised Learning Market by Computer Vision Application
    • 6.3.3 Europe Market size and forecast, by Industry Vertical
      • 6.3.3.1 Europe BFSI Self Supervised Learning Market by BFSI Type
    • 6.3.4 Europe Market size and forecast, by country
      • 6.3.4.1 UK
      • 6.3.4.1.1 Market size and forecast, by Technology
      • 6.3.4.1.1.1 UK Natural Language Processing Self Supervised Learning Market by NLP Type
      • 6.3.4.1.1.2 UK Computer Vision Self Supervised Learning Market by Computer Vision Application
      • 6.3.4.1.2 Market size and forecast, by Industry Vertical
      • 6.3.4.1.2.1 UK BFSI Self Supervised Learning Market by BFSI Type
      • 6.3.4.2 Germany
      • 6.3.4.2.1 Market size and forecast, by Technology
      • 6.3.4.2.1.1 Germany Natural Language Processing Self Supervised Learning Market by NLP Type
      • 6.3.4.2.1.2 Germany Computer Vision Self Supervised Learning Market by Computer Vision Application
      • 6.3.4.2.2 Market size and forecast, by Industry Vertical
      • 6.3.4.2.2.1 Germany BFSI Self Supervised Learning Market by BFSI Type
      • 6.3.4.3 France
      • 6.3.4.3.1 Market size and forecast, by Technology
      • 6.3.4.3.1.1 France Natural Language Processing Self Supervised Learning Market by NLP Type
      • 6.3.4.3.1.2 France Computer Vision Self Supervised Learning Market by Computer Vision Application
      • 6.3.4.3.2 Market size and forecast, by Industry Vertical
      • 6.3.4.3.2.1 France BFSI Self Supervised Learning Market by BFSI Type
      • 6.3.4.4 Italy
      • 6.3.4.4.1 Market size and forecast, by Technology
      • 6.3.4.4.1.1 Italy Natural Language Processing Self Supervised Learning Market by NLP Type
      • 6.3.4.4.1.2 Italy Computer Vision Self Supervised Learning Market by Computer Vision Application
      • 6.3.4.4.2 Market size and forecast, by Industry Vertical
      • 6.3.4.4.2.1 Italy BFSI Self Supervised Learning Market by BFSI Type
      • 6.3.4.5 Spain
      • 6.3.4.5.1 Market size and forecast, by Technology
      • 6.3.4.5.1.1 Spain Natural Language Processing Self Supervised Learning Market by NLP Type
      • 6.3.4.5.1.2 Spain Computer Vision Self Supervised Learning Market by Computer Vision Application
      • 6.3.4.5.2 Market size and forecast, by Industry Vertical
      • 6.3.4.5.2.1 Spain BFSI Self Supervised Learning Market by BFSI Type
      • 6.3.4.6 Netherlands
      • 6.3.4.6.1 Market size and forecast, by Technology
      • 6.3.4.6.1.1 Netherlands Natural Language Processing Self Supervised Learning Market by NLP Type
      • 6.3.4.6.1.2 Netherlands Computer Vision Self Supervised Learning Market by Computer Vision Application
      • 6.3.4.6.2 Market size and forecast, by Industry Vertical
      • 6.3.4.6.2.1 Netherlands BFSI Self Supervised Learning Market by BFSI Type
      • 6.3.4.7 Rest of Europe
      • 6.3.4.7.1 Market size and forecast, by Technology
      • 6.3.4.7.1.1 Rest of Europe Natural Language Processing Self Supervised Learning Market by NLP Type
      • 6.3.4.7.1.2 Rest of Europe Computer Vision Self Supervised Learning Market by Computer Vision Application
      • 6.3.4.7.2 Market size and forecast, by Industry Vertical
      • 6.3.4.7.2.1 Rest of Europe BFSI Self Supervised Learning Market by BFSI Type
  • 6.4 Asia-Pacific
    • 6.4.1 Key trends and opportunities
    • 6.4.2 Asia-Pacific Market size and forecast, by Technology
      • 6.4.2.1 Asia-Pacific Natural Language Processing Self Supervised Learning Market by NLP Type
      • 6.4.2.2 Asia-Pacific Computer Vision Self Supervised Learning Market by Computer Vision Application
    • 6.4.3 Asia-Pacific Market size and forecast, by Industry Vertical
      • 6.4.3.1 Asia-Pacific BFSI Self Supervised Learning Market by BFSI Type
    • 6.4.4 Asia-Pacific Market size and forecast, by country
      • 6.4.4.1 China
      • 6.4.4.1.1 Market size and forecast, by Technology
      • 6.4.4.1.1.1 China Natural Language Processing Self Supervised Learning Market by NLP Type
      • 6.4.4.1.1.2 China Computer Vision Self Supervised Learning Market by Computer Vision Application
      • 6.4.4.1.2 Market size and forecast, by Industry Vertical
      • 6.4.4.1.2.1 China BFSI Self Supervised Learning Market by BFSI Type
      • 6.4.4.2 Japan
      • 6.4.4.2.1 Market size and forecast, by Technology
      • 6.4.4.2.1.1 Japan Natural Language Processing Self Supervised Learning Market by NLP Type
      • 6.4.4.2.1.2 Japan Computer Vision Self Supervised Learning Market by Computer Vision Application
      • 6.4.4.2.2 Market size and forecast, by Industry Vertical
      • 6.4.4.2.2.1 Japan BFSI Self Supervised Learning Market by BFSI Type
      • 6.4.4.3 India
      • 6.4.4.3.1 Market size and forecast, by Technology
      • 6.4.4.3.1.1 India Natural Language Processing Self Supervised Learning Market by NLP Type
      • 6.4.4.3.1.2 India Computer Vision Self Supervised Learning Market by Computer Vision Application
      • 6.4.4.3.2 Market size and forecast, by Industry Vertical
      • 6.4.4.3.2.1 India BFSI Self Supervised Learning Market by BFSI Type
      • 6.4.4.4 Australia
      • 6.4.4.4.1 Market size and forecast, by Technology
      • 6.4.4.4.1.1 Australia Natural Language Processing Self Supervised Learning Market by NLP Type
      • 6.4.4.4.1.2 Australia Computer Vision Self Supervised Learning Market by Computer Vision Application
      • 6.4.4.4.2 Market size and forecast, by Industry Vertical
      • 6.4.4.4.2.1 Australia BFSI Self Supervised Learning Market by BFSI Type
      • 6.4.4.5 South Korea
      • 6.4.4.5.1 Market size and forecast, by Technology
      • 6.4.4.5.1.1 South Korea Natural Language Processing Self Supervised Learning Market by NLP Type
      • 6.4.4.5.1.2 South Korea Computer Vision Self Supervised Learning Market by Computer Vision Application
      • 6.4.4.5.2 Market size and forecast, by Industry Vertical
      • 6.4.4.5.2.1 South Korea BFSI Self Supervised Learning Market by BFSI Type
      • 6.4.4.6 Rest of Asia-Pacific
      • 6.4.4.6.1 Market size and forecast, by Technology
      • 6.4.4.6.1.1 Rest of Asia-Pacific Natural Language Processing Self Supervised Learning Market by NLP Type
      • 6.4.4.6.1.2 Rest of Asia-Pacific Computer Vision Self Supervised Learning Market by Computer Vision Application
      • 6.4.4.6.2 Market size and forecast, by Industry Vertical
      • 6.4.4.6.2.1 Rest of Asia-Pacific BFSI Self Supervised Learning Market by BFSI Type
  • 6.5 LAMEA
    • 6.5.1 Key trends and opportunities
    • 6.5.2 LAMEA Market size and forecast, by Technology
      • 6.5.2.1 LAMEA Natural Language Processing Self Supervised Learning Market by NLP Type
      • 6.5.2.2 LAMEA Computer Vision Self Supervised Learning Market by Computer Vision Application
    • 6.5.3 LAMEA Market size and forecast, by Industry Vertical
      • 6.5.3.1 LAMEA BFSI Self Supervised Learning Market by BFSI Type
    • 6.5.4 LAMEA Market size and forecast, by country
      • 6.5.4.1 Latin America
      • 6.5.4.1.1 Market size and forecast, by Technology
      • 6.5.4.1.1.1 Latin America Natural Language Processing Self Supervised Learning Market by NLP Type
      • 6.5.4.1.1.2 Latin America Computer Vision Self Supervised Learning Market by Computer Vision Application
      • 6.5.4.1.2 Market size and forecast, by Industry Vertical
      • 6.5.4.1.2.1 Latin America BFSI Self Supervised Learning Market by BFSI Type
      • 6.5.4.2 Middle East
      • 6.5.4.2.1 Market size and forecast, by Technology
      • 6.5.4.2.1.1 Middle East Natural Language Processing Self Supervised Learning Market by NLP Type
      • 6.5.4.2.1.2 Middle East Computer Vision Self Supervised Learning Market by Computer Vision Application
      • 6.5.4.2.2 Market size and forecast, by Industry Vertical
      • 6.5.4.2.2.1 Middle East BFSI Self Supervised Learning Market by BFSI Type
      • 6.5.4.3 Africa
      • 6.5.4.3.1 Market size and forecast, by Technology
      • 6.5.4.3.1.1 Africa Natural Language Processing Self Supervised Learning Market by NLP Type
      • 6.5.4.3.1.2 Africa Computer Vision Self Supervised Learning Market by Computer Vision Application
      • 6.5.4.3.2 Market size and forecast, by Industry Vertical
      • 6.5.4.3.2.1 Africa BFSI Self Supervised Learning Market by BFSI Type

CHAPTER 7: COMPANY LANDSCAPE

  • 7.1. Introduction
  • 7.2. Top winning strategies
  • 7.3. Product Mapping of Top 10 Player
  • 7.4. Competitive Dashboard
  • 7.5. Competitive Heatmap
  • 7.6. Key developments

CHAPTER 8: COMPANY PROFILES

  • 8.1 IBM CORPORATION
    • 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
  • 8.2 Alphabet Inc. (Google LLC)
    • 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
  • 8.3 Microsoft Corporation
    • 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
  • 8.4 Amazon Web Series
    • 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
  • 8.5 SAS Institute
    • 8.5.1 Company overview
    • 8.5.2 Company snapshot
    • 8.5.3 Operating business segments
    • 8.5.4 Product portfolio
    • 8.5.5 Business performance
    • 8.5.6 Key strategic moves and developments
  • 8.6 Dataiku
    • 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
  • 8.7 The MathWorks, Inc.
    • 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
  • 8.8 Meta
    • 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
  • 8.9 Databricks
    • 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
  • 8.10 DataRobot, 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
  • 8.11 Apple, Inc.
    • 8.11.1 Company overview
    • 8.11.2 Company snapshot
    • 8.11.3 Operating business segments
    • 8.11.4 Product portfolio
    • 8.11.5 Business performance
    • 8.11.6 Key strategic moves and developments
  • 8.12 Tesla
    • 8.12.1 Company overview
    • 8.12.2 Company snapshot
    • 8.12.3 Operating business segments
    • 8.12.4 Product portfolio
    • 8.12.5 Business performance
    • 8.12.6 Key strategic moves and developments
  • 8.13 Baidu, Inc.
    • 8.13.1 Company overview
    • 8.13.2 Company snapshot
    • 8.13.3 Operating business segments
    • 8.13.4 Product portfolio
    • 8.13.5 Business performance
    • 8.13.6 Key strategic moves and developments
  • 8.14 Alison
    • 8.14.1 Company overview
    • 8.14.2 Company snapshot
    • 8.14.3 Operating business segments
    • 8.14.4 Product portfolio
    • 8.14.5 Business performance
    • 8.14.6 Key strategic moves and developments
  • 8.15 Brain4ce Education Solutions Pvt. Ltd.
    • 8.15.1 Company overview
    • 8.15.2 Company snapshot
    • 8.15.3 Operating business segments
    • 8.15.4 Product portfolio
    • 8.15.5 Business performance
    • 8.15.6 Key strategic moves and developments
  • 8.16 DataCamp, Inc.
    • 8.16.1 Company overview
    • 8.16.2 Company snapshot
    • 8.16.3 Operating business segments
    • 8.16.4 Product portfolio
    • 8.16.5 Business performance
    • 8.16.6 Key strategic moves and developments
  • 8.17 edX LLC.
    • 8.17.1 Company overview
    • 8.17.2 Company snapshot
    • 8.17.3 Operating business segments
    • 8.17.4 Product portfolio
    • 8.17.5 Business performance
    • 8.17.6 Key strategic moves and developments
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