自己教師あり学習の世界市場規模調査＆予測、技術別、エンドユーザー別、地域別分析、2022-2029年

世界の自己教師あり学習市場は、2021年に約70億米ドルと評価され、予測期間2022-2029年には33.4％以上の健全な成長率で成長すると予想されています。

近年、人工知能（AI）の分野では、慎重にラベル付けされた大量のデータから学習できるAIシステムの登場により、驚異的な進歩が見られます。その中で、教師あり学習のパラダイムは、訓練されたタスクで並外れた性能を発揮する専門家モデルの訓練に明白な実績があります。教師あり学習は、テキストの分類、顔検出、色付けなど、さまざまな用途に用いられています。また、ヘルスケア、自動車・運輸、BFSI、広告・メディア、ソフトウェア開発など、さまざまな産業で応用されています。顔検出や音声認識などの技術の用途が拡大していることや、業界を問わずワークフローを効率化する需要が急増していることなどが、世界の自己教師あり学習市場の成長を後押ししています。

企業省（MCA）によると、音声認識機能を備えたバーチャルアシスタントの採用は、2017年の米国全体で6050万人から2018年には6240万人に増加するとされました。また、2019年までに約6,660万人のアメリカ人が音声または音声認識技術を導入すると予測されています。このように、バーチャルアシスタント技術の利用が増加することで、自己教師あり学習市場の需要に拍車がかかると考えられます。さらに、テクノロジー企業における研究開発活動の増加や、エンドユーザーにおける教師あり学習の利点に対する意識の高まりは、今後数年間にわたり、市場にさまざまな有利な見通しを生み出しています。しかし、監視付き学習の分野における熟練労働者の不足は、2022～2029年の予測期間を通じて市場成長を抑制する主要な要因の1つとなっています。

世界の自己教師あり学習市場の調査のために考慮された主要な地域は、アジア太平洋、北米、欧州、ラテンアメリカ、および世界のその他の地域が含まれています。北米は、新規技術の出現が重視されるようになり、研究開発活動への投資が増加し、有力な市場プレーヤーが存在することから、収益面で優位を占めています。一方、アジア太平洋地域は、自己教師付き学習アプリケーションの採用の増加や、AIソリューションにおける政府の取り組みの増加などの要因から、予測期間中に大きく成長すると予想されます。

本レポートに含まれる主な市場プレイヤーは以下の通りです。

• IBM
• Alphabet Inc.（Google LLC）
• Microsoft
• Amazon Web Services, Inc.
• SAS Institute Inc.
• Dataiku
• Apple Inc.
• Tesla
• Databricks
• DataRobot, Inc.

本調査の目的は、近年における様々なセグメントと国の市場規模を明らかにし、今後数年間の市場規模を予測することです。本レポートは、調査対象国における産業の質的・量的な側面を取り込むように設計されています。

また、市場の将来的な成長を規定する促進要因や課題などの重要な側面に関する詳細な情報も提供しています。さらに、主要企業の競合情勢や製品提供の詳細な分析とともに、利害関係者が投資するためのミクロ市場の潜在的な機会も組み込んでいます。市場の詳細なセグメントとサブセグメントを以下に説明します。

エンドユーザー別

ヘルスケア

BFSI

自動車・運輸

ソフトウェア開発（IT）

広告・メディア

その他

テクノロジー別

自然言語処理（NLP）

コンピュータビジョン

音声処理

地域別

北米

米国

カナダ

欧州

英国

ドイツ

フランス

スペイン

イタリア

その他欧州

アジア太平洋地域

中国

インド

日本

オーストラリア

韓国

その他アジア太平洋

ラテンアメリカ

ブラジル

メキシコ

世界のその他の地域

目次

第1章 エグゼクティブサマリー

• 市場スナップショット
• 世界・セグメント別市場推定・予測、2019年～2029年
  • 自己教師あり学習市場：地域別、2019年～2029年
  • 自己教師あり学習市場：技術別、2019年～2029年
  • 自己教師あり学習市場：エンドユーザー別、2019年～2029年
• 主な動向
• 調査手法
• 調査前提条件

第2章 自己教師あり学習の世界市場の定義と範囲

• 調査の目的
• 市場の定義と範囲
  • 調査対象範囲
  • 産業の進化
• 調査対象年
• 通貨換算レート

第3章 世界の自己教師あり学習市場の力学

• 自己教師あり学習市場のインパクト分析（2019年～2029年）
  • 市場促進要因
    • 顔検出や音声認識などの技術応用の拡大
    • 産業界におけるワークフロー効率化のための需要の急増
  • 市場の課題
    • 教師あり学習分野における熟練労働者の不足
  • 市場機会
    • テクノロジー企業における研究開発活動の活発化
    • エンドユーザーにおける教師あり学習の利点に対する認識の高まり

第4章 世界の自己教師あり学習市場の産業分析

• ポーターの5フォースモデル
  • 供給企業の交渉力
  • 買い手の交渉力
  • 新規参入業者の脅威
  • 代替品の脅威
  • 競争企業間の敵対関係
• ポーターの5フォースモデルへの未来的アプローチ（2019-2029年）
• PEST分析
  • 政治的
  • 経済的
  • 社会的
  • 技術的
• 投資採用モデル
• アナリストの結論・提言
• トップ投資機会
• 主要成功戦略

第5章 リスク評価：COVID-19のインパクト

• COVID-19が業界に与える全体的な影響の評価
• COVID-19以前とCOVID-19以後の市場シナリオ

第6章 自己教師あり学習の世界市場：エンドユーザー別

• 市場スナップショット
• 自己教師あり学習の世界市場：エンドユーザー別）、パフォーマンス-ポテンシャル分析
• 自己教師あり学習の世界市場、エンドユーザー別推定・予測、2019-2029年
• 自己教師あり学習市場、サブセグメント分析
  • ヘルスケア
  • BFSI
  • 自動車・運輸
  • ソフトウェア開発（IT）
  • 広告・メディア
  • その他

第7章 自己教師あり学習の世界市場：技術別

• 市場スナップショット
• 自己教師あり学習の世界市場：技術別、性能-ポテンシャル分析
• 自己教師あり学習の世界市場、技術別推定・予測、2019年～2029年
• 自己教師あり学習市場、サブセグメント分析
  • 自然言語処理（NLP）
  • コンピュータビジョン
  • 音声処理（Speech Processing

第8章 自己教師あり学習の世界市場：地域別分析

• 自己教師あり学習市場、地域別市場スナップショット
• 北米
  • 米国
    • 技術別の推定・予測、2019年～2029年
    • エンドユーザー内訳推定・予測、2019年～2029年
  • カナダ
• 欧州自己教師あり学習市場スナップショット
  • 英国
  • ドイツ
  • フランス
  • スペイン
  • イタリア
  • その他の欧州地域
• アジア太平洋地域の自己教師あり学習市場のスナップショット
  • 中国
  • インド
  • 日本
  • オーストラリア
  • 韓国
  • その他アジア太平洋地域
• ラテンアメリカの自己教師あり学習市場のスナップショット
  • ブラジル
  • メキシコ
• 世界のその他の地域

第9章 競合情報

• トップ市場戦略
• 企業プロファイル
  • IBM
    • 主な情報
    • 概要
    • 財務（データの入手が可能な場合）
    • 製品概要
    • 最近の開発状況
  • Alphabet Inc.（Google LLC）
  • Microsoft
  • Amazon Web Services, Inc.
  • SAS Institute Inc.
  • Dataiku
  • Apple Inc.
  • Tesla
  • Databricks
  • DataRobot, Inc.

第10章 調査プロセス

• 調査プロセス
  • データマイニング
  • 分析
  • 市場推定
  • バリデーション
  • 出版
• 調査属性
• 調査前提条件

LIST OF TABLES

• TABLE 1. Global Self-supervised Learning Market, report scope
• TABLE 2. Global Self-supervised Learning Market estimates & forecasts by Region 2019-2029 (USD Billion)
• TABLE 3. Global Self-supervised Learning Market estimates & forecasts by Technology 2019-2029 (USD Billion)
• TABLE 4. Global Self-supervised Learning Market estimates & forecasts by End-User 2019-2029 (USD Billion)
• TABLE 5. Global Self-supervised Learning Market by segment, estimates & forecasts, 2019-2029 (USD Billion)
• TABLE 6. Global Self-supervised Learning Market by region, estimates & forecasts, 2019-2029 (USD Billion)
• TABLE 7. Global Self-supervised Learning Market by segment, estimates & forecasts, 2019-2029 (USD Billion)
• TABLE 8. Global Self-supervised Learning Market by region, estimates & forecasts, 2019-2029 (USD Billion)
• TABLE 9. Global Self-supervised Learning Market by segment, estimates & forecasts, 2019-2029 (USD Billion)
• TABLE 10. Global Self-supervised Learning Market by region, estimates & forecasts, 2019-2029 (USD Billion)
• TABLE 11. Global Self-supervised Learning Market by segment, estimates & forecasts, 2019-2029 (USD Billion)
• TABLE 12. Global Self-supervised Learning Market by region, estimates & forecasts, 2019-2029 (USD Billion)
• TABLE 13. Global Self-supervised Learning Market by segment, estimates & forecasts, 2019-2029 (USD Billion)
• TABLE 14. Global Self-supervised Learning Market by region, estimates & forecasts, 2019-2029 (USD Billion)
• TABLE 15. U.S. Self-supervised Learning Market estimates & forecasts, 2019-2029 (USD Billion)
• TABLE 16. U.S. Self-supervised Learning Market estimates & forecasts by segment 2019-2029 (USD Billion)
• TABLE 17. U.S. Self-supervised Learning Market estimates & forecasts by segment 2019-2029 (USD Billion)
• TABLE 18. Canada Self-supervised Learning Market estimates & forecasts, 2019-2029 (USD Billion)
• TABLE 19. Canada Self-supervised Learning Market estimates & forecasts by segment 2019-2029 (USD Billion)
• TABLE 20. Canada Self-supervised Learning Market estimates & forecasts by segment 2019-2029 (USD Billion)
• TABLE 21. UK Self-supervised Learning Market estimates & forecasts, 2019-2029 (USD Billion)
• TABLE 22. UK Self-supervised Learning Market estimates & forecasts by segment 2019-2029 (USD Billion)
• TABLE 23. UK Self-supervised Learning Market estimates & forecasts by segment 2019-2029 (USD Billion)
• TABLE 24. Germany Self-supervised Learning Market estimates & forecasts, 2019-2029 (USD Billion)
• TABLE 25. Germany Self-supervised Learning Market estimates & forecasts by segment 2019-2029 (USD Billion)
• TABLE 26. Germany Self-supervised Learning Market estimates & forecasts by segment 2019-2029 (USD Billion)
• TABLE 27. France Self-supervised Learning Market estimates & forecasts, 2019-2029 (USD Billion)
• TABLE 28. France Self-supervised Learning Market estimates & forecasts by segment 2019-2029 (USD Billion)
• TABLE 29. France Self-supervised Learning Market estimates & forecasts by segment 2019-2029 (USD Billion)
• TABLE 30. Italy Self-supervised Learning Market estimates & forecasts, 2019-2029 (USD Billion)
• TABLE 31. Italy Self-supervised Learning Market estimates & forecasts by segment 2019-2029 (USD Billion)
• TABLE 32. Italy Self-supervised Learning Market estimates & forecasts by segment 2019-2029 (USD Billion)
• TABLE 33. Spain Self-supervised Learning Market estimates & forecasts, 2019-2029 (USD Billion)
• TABLE 34. Spain Self-supervised Learning Market estimates & forecasts by segment 2019-2029 (USD Billion)
• TABLE 35. Spain Self-supervised Learning Market estimates & forecasts by segment 2019-2029 (USD Billion)
• TABLE 36. RoE Self-supervised Learning Market estimates & forecasts, 2019-2029 (USD Billion)
• TABLE 37. RoE Self-supervised Learning Market estimates & forecasts by segment 2019-2029 (USD Billion)
• TABLE 38. RoE Self-supervised Learning Market estimates & forecasts by segment 2019-2029 (USD Billion)
• TABLE 39. China Self-supervised Learning Market estimates & forecasts, 2019-2029 (USD Billion)
• TABLE 40. China Self-supervised Learning Market estimates & forecasts by segment 2019-2029 (USD Billion)
• TABLE 41. China Self-supervised Learning Market estimates & forecasts by segment 2019-2029 (USD Billion)
• TABLE 42. India Self-supervised Learning Market estimates & forecasts, 2019-2029 (USD Billion)
• TABLE 43. India Self-supervised Learning Market estimates & forecasts by segment 2019-2029 (USD Billion)
• TABLE 44. India Self-supervised Learning Market estimates & forecasts by segment 2019-2029 (USD Billion)
• TABLE 45. Japan Self-supervised Learning Market estimates & forecasts, 2019-2029 (USD Billion)
• TABLE 46. Japan Self-supervised Learning Market estimates & forecasts by segment 2019-2029 (USD Billion)
• TABLE 47. Japan Self-supervised Learning Market estimates & forecasts by segment 2019-2029 (USD Billion)
• TABLE 48. South Korea Self-supervised Learning Market estimates & forecasts, 2019-2029 (USD Billion)
• TABLE 49. South Korea Self-supervised Learning Market estimates & forecasts by segment 2019-2029 (USD Billion)
• TABLE 50. South Korea Self-supervised Learning Market estimates & forecasts by segment 2019-2029 (USD Billion)
• TABLE 51. Australia Self-supervised Learning Market estimates & forecasts, 2019-2029 (USD Billion)
• TABLE 52. Australia Self-supervised Learning Market estimates & forecasts by segment 2019-2029 (USD Billion)
• TABLE 53. Australia Self-supervised Learning Market estimates & forecasts by segment 2019-2029 (USD Billion)
• TABLE 54. RoAPAC Self-supervised Learning Market estimates & forecasts, 2019-2029 (USD Billion)
• TABLE 55. RoAPAC Self-supervised Learning Market estimates & forecasts by segment 2019-2029 (USD Billion)
• TABLE 56. RoAPAC Self-supervised Learning Market estimates & forecasts by segment 2019-2029 (USD Billion)
• TABLE 57. Brazil Self-supervised Learning Market estimates & forecasts, 2019-2029 (USD Billion)
• TABLE 58. Brazil Self-supervised Learning Market estimates & forecasts by segment 2019-2029 (USD Billion)
• TABLE 59. Brazil Self-supervised Learning Market estimates & forecasts by segment 2019-2029 (USD Billion)
• TABLE 60. Mexico Self-supervised Learning Market estimates & forecasts, 2019-2029 (USD Billion)
• TABLE 61. Mexico Self-supervised Learning Market estimates & forecasts by segment 2019-2029 (USD Billion)
• TABLE 62. Mexico Self-supervised Learning Market estimates & forecasts by segment 2019-2029 (USD Billion)
• TABLE 63. RoLA Self-supervised Learning Market estimates & forecasts, 2019-2029 (USD Billion)
• TABLE 64. RoLA Self-supervised Learning Market estimates & forecasts by segment 2019-2029 (USD Billion)
• TABLE 65. RoLA Self-supervised Learning Market estimates & forecasts by segment 2019-2029 (USD Billion)
• TABLE 66. Row Self-supervised Learning Market estimates & forecasts, 2019-2029 (USD Billion)
• TABLE 67. Row Self-supervised Learning Market estimates & forecasts by segment 2019-2029 (USD Billion)
• TABLE 68. Row Self-supervised Learning Market estimates & forecasts by segment 2019-2029 (USD Billion)
• TABLE 69. List of secondary sources, used in the study of global Self-supervised Learning Market
• TABLE 70. List of primary sources, used in the study of global Self-supervised Learning Market
• TABLE 71. Years considered for the study
• TABLE 72. Exchange rates considered

List of tables and figures and dummy in nature, final lists may vary in the final deliverable

LIST OF FIGURES

List of figures

• FIG 1. Global Self-supervised Learning Market, research methodology
• FIG 2. Global Self-supervised Learning Market, Market estimation techniques
• FIG 3. Global Market size estimates & forecast methods
• FIG 4. Global Self-supervised Learning Market, key trends 2021
• FIG 5. Global Self-supervised Learning Market, growth prospects 2022-2029
• FIG 6. Global Self-supervised Learning Market, porters 5 force model
• FIG 7. Global Self-supervised Learning Market, pest analysis
• FIG 8. Global Self-supervised Learning Market, value chain analysis
• FIG 9. Global Self-supervised Learning Market by segment, 2019 & 2029 (USD Billion)
• FIG 10. Global Self-supervised Learning Market by segment, 2019 & 2029 (USD Billion)
• FIG 11. Global Self-supervised Learning Market by segment, 2019 & 2029 (USD Billion)
• FIG 12. Global Self-supervised Learning Market by segment, 2019 & 2029 (USD Billion)
• FIG 13. Global Self-supervised Learning Market by segment, 2019 & 2029 (USD Billion)
• FIG 14. Global Self-supervised Learning Market, regional snapshot 2019 & 2029
• FIG 15. North America Self-supervised Learning Market 2019 & 2029 (USD Billion)
• FIG 16. Europe Self-supervised Learning Market 2019 & 2029 (USD Billion)
• FIG 17. Asia Pacific Self-supervised Learning Market 2019 & 2029 (USD Billion)
• FIG 18. Latin America Self-supervised Learning Market 2019 & 2029 (USD Billion)
• FIG 19. Global Self-supervised Learning Market, company Market share analysis (2021)

List of tables and figures and dummy in nature, final lists may vary in the final deliverable

Global Self-supervised Learning Market is valued at approximately USD 7.0 billion in 2021 and is anticipated to grow with a healthy growth rate of more than 33.4% over the forecast period 2022-2029. Recently, the field of artificial intelligence (AI) has undergone tremendous progress in emerging AI systems that can learn from large amounts of prudently labeled data. In this context, the paradigm of supervised learning has an evident track record for training specialist models that perform exceptionally well on the task that they are trained to do. Supervised learning has a range of applications, including text categorization, face detection, and colorization. In addition, it has applications in several industries such as healthcare, automotive & transportation, BFSI, advertising & media, software development, and others. Factors, such as the increasing applications of technologies such as face detection and voice recognition, along with surge in demand to streamline workflow across industries are driving the growth of the global self-supervised learning market.

As per the Department of Ministry of Corporate Affairs (MCA) the adoption of virtual assistants with speech recognition capabilities were set to rise from 60.5 million people across the U.S. in 2017 to 62.4 million in 2018. Also, around 66.6 million Americans are projected to adopt speech or voice recognition technology by the year 2019. Thus, the rise in usage of virtual assistant technology will spur the demand for self-supervised learning market. In addition, increasing R&D activities in technology companies, as well as growing awareness of the benefits of supervised learning among end-users are creating various lucrative prospects for the market over the forthcoming years. However, lack of skilled workforce in the field of supervised learning is one of the major factors that is restraining the market growth throughout the forecast period of 2022-2029.

The key regions considered for the Global Self-supervised Learning Market study include Asia Pacific, North America, Europe, Latin America, and Rest of the World. North America dominated the space in terms of revenue, owing to the rising emphasis on the emergence of novel technologies, increasing investment in R&D activities, and presence of leading market players. Whereas, Asia Pacific is expected to grow significantly during the forecast period, owing to factors such as increasing adoption of self-supervised learning applications, as well as rising number of government initiatives in AI solutions.

Major market players included in this report are:

IBM

Alphabet Inc. (Google LLC)

Microsoft

Amazon Web Services, Inc.

SAS Institute Inc.

Dataiku

Apple Inc.

Tesla

Databricks

DataRobot, Inc.

Recent Developments in the Market:

• In February 2022, IBM broadcasted that the company acquire Neudesic, under its hybrid cloud and AI strategy. Neudesic adds expertise in data engineering, data analytics, and deep Azure cloud. The aim of this acquisition is to strengthen its cloud service skills and capabilities to fulfill the client's demands.
• In January 2022, Meta AI declared the launch of data2vec-a self-supervised learning algorithm that works for text, vision, and speech. This algorithm is designed to outperform previous algorithms for speech and computer vision.

Global Self-supervised Learning Market Report Scope:

Historical Data: 2019-2020-2021

Base Year for Estimation: 2021

Forecast period: 2022-2029

Report Coverage: Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends

Segments Covered: Technology, End-User, Region

Regional Scope: North America; Europe; Asia Pacific; Latin America; Rest of the World

Customization Scope: Free report customization (equivalent up to 8 analyst's working hours) with purchase. Addition or alteration to country, regional & segment scope*

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.

The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:

By End-User:

Healthcare

BFSI

Automotive & Transportation

Software Development (IT)

Advertising & Media

Others

By Technology:

Natural Language Processing (NLP)

Computer Vision

Speech Processing

By Region:

North America

U.S.

Canada

Europe

UK

Germany

France

Spain

Italy

ROE

Asia Pacific

China

India

Japan

Australia

South Korea

RoAPAC

Latin America

Brazil

Mexico

Rest of the World

Table of Contents

Chapter 1. Executive Summary

• 1.1. Market Snapshot
• 1.2. Global & Segmental Market Estimates & Forecasts, 2019-2029 (USD Billion)
  • 1.2.1. Self-supervised Learning Market, by Region, 2019-2029 (USD Billion)
  • 1.2.2. Self-supervised Learning Market, by Technology, 2019-2029 (USD Billion)
  • 1.2.3. Self-supervised Learning Market, by End-User, 2019-2029 (USD Billion)
• 1.3. Key Trends
• 1.4. Estimation Methodology
• 1.5. Research Assumption

Chapter 2. Global Self-supervised Learning Market Definition and Scope

• 2.1. Objective of the Study
• 2.2. Market Definition & Scope
  • 2.2.1. Scope of the Study
  • 2.2.2. Industry Evolution
• 2.3. Years Considered for the Study
• 2.4. Currency Conversion Rates

Chapter 3. Global Self-supervised Learning Market Dynamics

• 3.1. Self-supervised Learning Market Impact Analysis (2019-2029)
  • 3.1.1. Market Drivers
    • 3.1.1.1. Increasing applications of technologies such as face detection and voice recognition
    • 3.1.1.2. Surge in demand to streamline workflow across industries
  • 3.1.2. Market Challenges
    • 3.1.2.1. Lack of skilled workforce in the field of supervised learning
  • 3.1.3. Market Opportunities
    • 3.1.3.1. Increasing R&D activities in technology companies
    • 3.1.3.2. Growing awareness of the benefits of supervised learning among end-users

Chapter 4. Global Self-supervised Learning Market Industry Analysis

• 4.1. Porter's 5 Force Model
  • 4.1.1. Bargaining Power of Suppliers
  • 4.1.2. Bargaining Power of Buyers
  • 4.1.3. Threat of New Entrants
  • 4.1.4. Threat of Substitutes
  • 4.1.5. Competitive Rivalry
• 4.2. Futuristic Approach to Porter's 5 Force Model (2019-2029)
• 4.3. PEST Analysis
  • 4.3.1. Political
  • 4.3.2. Economical
  • 4.3.3. Social
  • 4.3.4. Technological
• 4.4. Investment Adoption Model
• 4.5. Analyst Recommendation & Conclusion
• 4.6. Top investment opportunity
• 4.7. Top winning strategies

Chapter 5. Risk Assessment: COVID-19 Impact

• 5.1. Assessment of the overall impact of COVID-19 on the industry
• 5.2. Pre COVID-19 and post COVID-19 Market scenario

Chapter 6. Global Self-supervised Learning Market, by End-User

• 6.1. Market Snapshot
• 6.2. Global Self-supervised Learning Market by End-User, Performance - Potential Analysis
• 6.3. Global Self-supervised Learning Market Estimates & Forecasts by End-User, 2019-2029 (USD Billion)
• 6.4. Self-supervised Learning Market, Sub Segment Analysis
  • 6.4.1. Healthcare
  • 6.4.2. BFSI
  • 6.4.3. Automotive & Transportation
  • 6.4.4. Software Development (IT)
  • 6.4.5. Advertising & Media
  • 6.4.6. Others

Chapter 7. Global Self-supervised Learning Market, by Technology

• 7.1. Market Snapshot
• 7.2. Global Self-supervised Learning Market by Technology, Performance - Potential Analysis
• 7.3. Global Self-supervised Learning Market Estimates & Forecasts by Technology, 2019-2029 (USD Billion)
• 7.4. Self-supervised Learning Market, Sub Segment Analysis
  • 7.4.1. Natural Language Processing (NLP)
  • 7.4.2. Computer Vision
  • 7.4.3. Speech Processing

Chapter 8. Global Self-supervised Learning Market, Regional Analysis

• 8.1. Self-supervised Learning Market, Regional Market Snapshot
• 8.2. North America Self-supervised Learning Market
  • 8.2.1. U.S. Self-supervised Learning Market
    • 8.2.1.1. Technology breakdown estimates & forecasts, 2019-2029
    • 8.2.1.2. End-User breakdown estimates & forecasts, 2019-2029
  • 8.2.2. Canada Self-supervised Learning Market
• 8.3. Europe Self-supervised Learning Market Snapshot
  • 8.3.1. U.K. Self-supervised Learning Market
  • 8.3.2. Germany Self-supervised Learning Market
  • 8.3.3. France Self-supervised Learning Market
  • 8.3.4. Spain Self-supervised Learning Market
  • 8.3.5. Italy Self-supervised Learning Market
  • 8.3.6. Rest of Europe Self-supervised Learning Market
• 8.4. Asia-Pacific Self-supervised Learning Market Snapshot
  • 8.4.1. China Self-supervised Learning Market
  • 8.4.2. India Self-supervised Learning Market
  • 8.4.3. Japan Self-supervised Learning Market
  • 8.4.4. Australia Self-supervised Learning Market
  • 8.4.5. South Korea Self-supervised Learning Market
  • 8.4.6. Rest of Asia Pacific Self-supervised Learning Market
• 8.5. Latin America Self-supervised Learning Market Snapshot
  • 8.5.1. Brazil Self-supervised Learning Market
  • 8.5.2. Mexico Self-supervised Learning Market
• 8.6. Rest of The World Self-supervised Learning Market

Chapter 9. Competitive Intelligence

• 9.1. Top Market Strategies
• 9.2. Company Profiles
  • 9.2.1. IBM
    • 9.2.1.1. Key Information
    • 9.2.1.2. Overview
    • 9.2.1.3. Financial (Subject to Data Availability)
    • 9.2.1.4. Product Summary
    • 9.2.1.5. Recent Developments
  • 9.2.2. Alphabet Inc. (Google LLC)
  • 9.2.3. Microsoft
  • 9.2.4. Amazon Web Services, Inc.
  • 9.2.5. SAS Institute Inc.
  • 9.2.6. Dataiku
  • 9.2.7. Apple Inc.
  • 9.2.8. Tesla
  • 9.2.9. Databricks
  • 9.2.10. DataRobot, Inc.

Chapter 10. Research Process

• 10.1. Research Process
  • 10.1.1. Data Mining
  • 10.1.2. Analysis
  • 10.1.3. Market Estimation
  • 10.1.4. Validation
  • 10.1.5. Publishing
• 10.2. Research Attributes
• 10.3. Research Assumption