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自己教師あり学習の市場規模、シェア、動向分析レポート：最終用途別、技術別、地域別、セグメント予測、2025年～2030年

Self-supervised Learning Market Size, Share & Trends Analysis Report By End Use (Healthcare, BFSI), By Technology (Natural Language Processing, Computer Vision), By Region, And Segment Forecasts, 2025 - 2030

出版日
ページ情報
英文 100 Pages
納期
2～10営業日
カスタマイズ可能
価格
価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=144.63円
自己教師あり学習の市場規模、シェア、動向分析レポート：最終用途別、技術別、地域別、セグメント予測、2025年～2030年
出版日: 2024年10月22日
発行: Grand View Research
ページ情報: 英文 100 Pages
納期: 2～10営業日
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  • 概要
  • 図表
  • 目次
概要

自己教師あり学習市場の成長と動向：

Grand View Research, Incの最新レポートによると、世界の自己教師あり学習市場規模は2030年までに896億8,000万米ドルに達し、2025年から2030年までのCAGRは35.2％で拡大すると推定されています。

自己教師あり学習は、自然言語処理（NLP）で顕著に使用される機械学習技術であり、コンピュータビジョンや音声処理アプリケーションがこれに続く。自己教師あり学習のアプリケーションには、言い換え、カラー化、音声認識などがあります。

COVID-19の流行は市場に好影響を与えました。COVID-19パンデミックへの対応として、AIと機械学習を採用する企業が増えました。米国を拠点とするAmazon Web Services, Inc.、Google、Microsoftなど多くの著名な市場プレーヤーが、パンデミック期間中に収益の増加を目の当たりにしました。さらに、デジタル化の加速も自己教師付き学習アプリケーションの採用に貢献しました。例えば、2020年4月、グーグルの事業部門であるグーグル・クラウドは、COVID-19パンデミックと戦うために重要な情報を提供する人工知能（AI）チャットボットを発表しました。

多くの市場プレーヤーが、音声合成や言語翻訳・予測など、さまざまなアプリケーション向けのソリューションを提供しています。さらに、これらのプレーヤーは自己教師付き学習の研究を行っています。例えば、米国を拠点とするMeta社は、教師あり学習の研究を進め、様々なアルゴリズムやモデルを開発してきました。2022年2月、メタ社は同社の自己教師付きコンピュータ・ビジョン・モデルSEERの新たな進歩を発表しました。このモデルはより強力で、同社がコンピュータ・ビジョン製品を構築することを可能にすると期待されています。

自己教師あり学習市場レポートハイライト

  • 最終用途別では、BFSIセグメントが2024年に18.3%の最大収益シェアを占め、予測期間中もその地位を維持すると予測されています。これは、同セグメントでAIやMLなどの技術の採用が増加していることに起因しています。広告・メディアセグメントは予測期間中に有利な成長を記録すると予測されています。
  • 技術別では、自然言語処理分野が2024年に支配的なシェアを占めたが、これは複数の業界にわたる膨大な量の非構造化テキストデータを処理する能力があるためです。これは、NLPアプリケーションの多様性と普及に起因しています。
  • 北米は2024年に35.7%の最大シェアを占め、予測期間中もその地位を維持すると予想されています。これは、同地域に多数の市場プレーヤーが存在することに起因します。さらに、専門家の存在と技術インフラの開拓が市場の成長を後押ししています。
  • 2024年7月、グーグルLLCはインドで農業景観理解（ALU）ツールを発表しました。このAIベースのプラットフォームは、高解像度の衛星画像と機械学習を使用して、個々の農場レベルでの干ばつ対策、灌漑、作物管理に関する詳細な洞察を提供します。
  • 2024年5月、Meta AI、Google、INRIA、University Paris Saclayの調査チームは、埋め込みモデルと階層的k-meansクラスタリングを用いた自己教師あり学習（SSL）のための自動データセットキュレーション技術を開発しました。この手法は、バランスの取れたデータセットを確保し、手作業によるキュレーションに関連するコストと時間を削減することで、モデルのパフォーマンスを向上させる。

目次

第1章 調査手法と範囲

第2章 エグゼクティブサマリー

第3章 自己教師あり学習市場の変数、動向、範囲

  • 世界の自己教師あり学習市場の展望
  • 業界バリューチェーン分析
  • 市場力学
    • 市場 促進要因分析
    • 市場抑制要因分析
    • 業界の課題
  • ポーターのファイブフォース分析
    • サプライヤーの力
    • 買い手の力
    • 代替の脅威
    • 新規参入の脅威
    • 競争企業間の敵対関係
  • PESTEL分析
    • 政治情勢
    • 経済情勢
    • 社会情勢
    • 技術的情勢
    • 環境情勢
    • 法的な情勢

第4章 自己教師あり学習市場： 最終用途展望の推定と予測

  • 自己教師あり学習市場：最終用途変動分析、2024年および2030年
    • ヘルスケア
    • BFSI
    • 自動車・輸送
    • ソフトウェア開発（IT）
    • 広告とメディア
    • その他

第5章 自己教師あり学習市場： 技術展望の推定と予測

  • 自己教師あり学習市場：技術変動分析、2024年および2030年
    • 自然言語処理（NLP）
    • コンピュータビジョン
    • 音声処理

第6章 自己教師あり学習市場：地域推定・動向分析

  • 自己教師あり学習の市場シェア、地域別、2024年および2030年
  • 北米
    • 米国
    • カナダ
    • メキシコ
  • 欧州
    • 英国
    • ドイツ
    • フランス
  • アジア太平洋
    • 中国
    • 日本
    • インド
    • 韓国
    • オーストラリア
  • ラテンアメリカ
    • ブラジル
  • 中東およびアフリカ
    • アラブ首長国連邦
    • サウジアラビア
    • 南アフリカ

第7章 競合情勢

  • 主要市場参入企業による最近の動向と影響分析
  • ベンダー情勢
    • 企業分類
    • 主要販売代理店およびチャネルパートナーのリスト
    • 潜在顧客リスト/リスト
  • 競争のダイナミクス
    • 競合ベンチマーキング
    • 戦略マッピング
    • ヒートマップ分析
  • 企業プロファイル
    • Alphabet Inc.（Google LLC）
    • Amazon Web Services, Inc.
    • Apple Inc.
    • Baidu, Inc.
    • Iberdrola SA Dataiku
    • Databricks
    • DataRobot, Inc.
    • IBM Corporation
    • Meta
    • Microsoft
    • SAS Institute Inc.
    • Tesla
    • The MathWorks, Inc
図表

List of Tables

  • Table 1 Global Self-supervised Learning market estimates and forecasts, by region, 2018 - 2030 (USD Million)
  • Table 2 Global Self-supervised Learning market estimates and forecasts, by End Use, 2018 - 2030 (USD Million)
  • Table 3 Global Self-supervised Learning market estimates and forecasts, by Technology, 2018 - 2030 (USD Million)
  • Table 4 North America Self-supervised Learning market estimates and forecasts, by country, 2018 - 2030 (USD Million)
  • Table 5 North America Self-supervised Learning market estimates and forecasts, by End Use, 2018 - 2030 (USD Million)
  • Table 6 North America Self-supervised Learning market estimates and forecasts, by Technology, 2018 - 2030 (USD Million)
  • Table 7 U.S. Self-supervised Learning market estimates and forecasts, by End Use, 2018 - 2030 (USD Million)
  • Table 8 U.S. Self-supervised Learning market estimates and forecasts, by Technology, 2018 - 2030 (USD Million)
  • Table 9 Canada Self-supervised Learning market estimates and forecasts, by End Use, 2018 - 2030 (USD Million)
  • Table 10 Canada Self-supervised Learning market estimates and forecasts, by Technology, 2018 - 2030 (USD Million)
  • Table 11 Mexico Self-supervised Learning market estimates and forecasts, by End Use, 2018 - 2030 (USD Million)
  • Table 12 Mexico Self-supervised Learning market estimates and forecasts, by Technology, 2018 - 2030 (USD Million)
  • Table 13 Europe Self-supervised Learning market estimates and forecasts, by country, 2018 - 2030 (USD Million)
  • Table 14 Europe Self-supervised Learning market estimates and forecasts, by End Use, 2018 - 2030 (USD Million)
  • Table 15 Europe Self-supervised Learning market estimates and forecasts, by Technology, 2018 - 2030 (USD Million)
  • Table 16 UK Self-supervised Learning market estimates and forecasts, by End Use, 2018 - 2030 (USD Million)
  • Table 17 UK Self-supervised Learning market estimates and forecasts, by Technology, 2018 - 2030 (USD Million)
  • Table 18 Germany Self-supervised Learning market estimates and forecasts, by End Use, 2018 - 2030 (USD Million)
  • Table 19 Germany Self-supervised Learning market estimates and forecasts, by Technology, 2018 - 2030 (USD Million)
  • Table 20 France Self-supervised Learning market estimates and forecasts, by End Use, 2018 - 2030 (USD Million)
  • Table 21 France Self-supervised Learning market estimates and forecasts, by Technology, 2018 - 2030 (USD Million)
  • Table 22 Asia Pacific Self-supervised Learning market estimates and forecasts, by country, 2018 - 2030 (USD Million)
  • Table 23 Asia Pacific Self-supervised Learning market estimates and forecasts, by End Use, 2018 - 2030 (USD Million)
  • Table 24 Asia Pacific Self-supervised Learning market estimates and forecasts, by Technology, 2018 - 2030 (USD Million)
  • Table 25 China Self-supervised Learning market estimates and forecasts, by End Use, 2018 - 2030 (USD Million)
  • Table 26 China Self-supervised Learning market estimates and forecasts, by Technology, 2018 - 2030 (USD Million)
  • Table 27 Japan Self-supervised Learning market estimates and forecasts, by End Use, 2018 - 2030 (USD Million)
  • Table 28 Japan Self-supervised Learning market estimates and forecasts, by Technology, 2018 - 2030 (USD Million)
  • Table 29 India Self-supervised Learning market estimates and forecasts, by End Use, 2018 - 2030 (USD Million)
  • Table 30 India Self-supervised Learning market estimates and forecasts, by Technology, 2018 - 2030 (USD Million)
  • Table 31 Australia Self-supervised Learning market estimates and forecasts, by End Use, 2018 - 2030 (USD Million)
  • Table 32 Australia Self-supervised Learning market estimates and forecasts, by Technology, 2018 - 2030 (USD Million)
  • Table 33 South Korea Self-supervised Learning market estimates and forecasts, by End Use, 2018 - 2030 (USD Million)
  • Table 34 South Korea Self-supervised Learning market estimates and forecasts, by Technology, 2018 - 2030 (USD Million)
  • Table 35 Latin America Self-supervised Learning market estimates and forecasts, by country, 2018 - 2030 (USD Million)
  • Table 36 Latin America Self-supervised Learning market estimates and forecasts, by End Use, 2018 - 2030 (USD Million)
  • Table 37 Latin America Self-supervised Learning market estimates and forecasts, by Technology, 2018 - 2030 (USD Million)
  • Table 38 Brazil Self-supervised Learning market estimates and forecasts, by End Use, 2018 - 2030 (USD Million)
  • Table 39 Brazil Self-supervised Learning market estimates and forecasts, by Technology, 2018 - 2030 (USD Million)
  • Table 40 Middle East & Africa Self-supervised Learning market estimates and forecasts, by country, 2018 - 2030 (USD Million)
  • Table 41 Middle East & Africa Self-supervised Learning market estimates and forecasts, by End Use, 2018 - 2030 (USD Million)
  • Table 42 Middle East & Africa Self-supervised Learning market estimates and forecasts, by Technology, 2018 - 2030 (USD Million)
  • Table 43 Saudi Arabia Self-supervised Learning market estimates and forecasts, by End Use, 2018 - 2030 (USD Million)
  • Table 44 Saudi Arabia Self-supervised Learning market estimates and forecasts, by Technology, 2018 - 2030 (USD Million)
  • Table 45 UAE Self-supervised Learning market estimates and forecasts, by End Use, 2018 - 2030 (USD Million)
  • Table 46 UAE Self-supervised Learning market estimates and forecasts, by Technology, 2018 - 2030 (USD Million)
  • Table 47 South Africa Self-supervised Learning market estimates and forecasts, by End Use, 2018 - 2030 (USD Million)
  • Table 48 South Africa Self-supervised Learning market estimates and forecasts, by Technology, 2018 - 2030 (USD Million)

List of Figures

  • Fig. 1 Self-supervised Learning market segmentation
  • Fig. 2 Market research process
  • Fig. 3 Information procurement
  • Fig. 4 Primary research pattern
  • Fig. 5 Market research approaches
  • Fig. 6 Parent market analysis
  • Fig. 7 Market formulation & validation
  • Fig. 8 Self-supervised Learning market snapshot
  • Fig. 9 Self-supervised Learning market segment snapshot
  • Fig. 10 Self-supervised Learning market competitive landscape snapshot
  • Fig. 11 Market driver relevance analysis (Current & future impact)
  • Fig. 12 Market restraint relevance analysis (Current & future impact)
  • Fig. 13 Value Chain Analysis
  • Fig. 14 Self-supervised Learning market: End Use outlook key takeaways (USD Million)
  • Fig. 15 Self-supervised Learning market: End Use movement analysis 2024 & 2030 (USD Million)
  • Fig. 16 Healthcare market revenue estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 17 BFSI market revenue estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 18 Automotive & Transportation market revenue estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 19 Software Development (IT) market revenue estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 20 Advertising & Media market revenue estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 21 Others market revenue estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 22 Self-supervised Learning market: Technology outlook key takeaways (USD Million)
  • Fig. 23 Self-supervised Learning market: Technology movement analysis 2024 & 2030 (USD Million)
  • Fig. 24 Natural Language Processing (NLP) market revenue estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 25 Computer Vision market revenue estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 26 Speech Processing market revenue estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 27 Regional marketplace: Key takeaways
  • Fig. 28 Self-supervised Learning market: Regional outlook, 2024 & 2030 (USD Million)
  • Fig. 29 North America Self-supervised Learning market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 30 U.S. Self-supervised Learning market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 31 Canada Self-supervised Learning market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 32 Mexico Self-supervised Learning market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 33 Europe Self-supervised Learning market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 34 UK Self-supervised Learning market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 35 Germany Self-supervised Learning market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 36 France Self-supervised Learning market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 37 Asia Pacific Self-supervised Learning market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 38 Japan Self-supervised Learning market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 39 China Self-supervised Learning market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 40 India Self-supervised Learning market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 41 Australia Self-supervised Learning market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 42 South Korea Self-supervised Learning market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 43 Latin America Self-supervised Learning market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 44 Brazil Self-supervised Learning market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 45 MEA Self-supervised Learning market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 46 KSA Self-supervised Learning market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 47 UAE Self-supervised Learning market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 48 South Africa Self-supervised Learning market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 49 Strategy framework
  • Fig. 50 Company Categorization
目次
Product Code: GVR-4-68039-971-4

Self-supervised Learning Market Growth & Trends:

The global self-supervised learning market size is estimated to reach USD 89.68 billion by 2030, expanding at a CAGR of 35.2% from 2025 to 2030, according to a new report by Grand View Research, Inc. Self-supervised learning is a machine learning technique used prominently in Natural Language Processing (NLP), followed by computer vision and speech processing applications. Applications of self-supervised learning include paraphrasing, colorization, and speech recognition.

The COVID-19 pandemic had a positive impact on the market. More businesses adopted AI and Machine Learning as a response to the COVID-19 pandemic. Many prominent market players such as U.S.-based Amazon Web Services, Inc., Google, and Microsoft witnessed a rise in revenue during the pandemic. Moreover, accelerated digitalization also contributed to the adoption of self-supervised learning applications. For instance, in April 2020, Google Cloud, a business segment of Google, launched an Artificial Intelligence (AI) chatbot that provides critical information to fight the COVID-19 pandemic.

Many market players offer solutions for various applications such as text-to-speech and language translation & prediction. Moreover, these players are researching in self-supervised learning. For instance, U.S.-based Meta has been advancing in self-supervised learning research and has developed various algorithms and models. In February 2022, Meta announced new advances in the company's self-supervised computer vision model SEER. The model is more powerful and is expected to enable the company in building computer vision products.

Self-supervised Learning Market Report Highlights:

  • In terms of end-use, the BFSI segment accounted for the largest revenue share of 18.3% in 2024 and is expected to retain its position over the forecast period. This can be attributed to the increasing adoption of technologies such as AI and ML in the segment. The Advertising & Media segment is anticipated to register lucrative growth over the forecast period.
  • Based on technology, the natural language processing segment accounted for the dominant share in 2024 due to its ability to handle vast amounts of unstructured text data across multiple industries.. This can be attributed to the variety and penetration of NLP applications.
  • North America held the largest share of 35.7% in 2024 and is expected to retain its position over the forecast period. This can be attributed to the presence of a large number of market players in the region. Moreover, the presence of specialists and developed technology infrastructure are aiding the growth of the market.
  • In July 2024, Google LLC launched the Agricultural Landscape Understanding (ALU) tool in India, an AI-based platform that uses high-resolution satellite imagery and machine learning to provide detailed insights on drought preparedness, irrigation, and crop management at an individual farm level.
  • In May 2024, Researchers from Meta AI, Google, INRIA, and University Paris Saclay created an automatic dataset curation technique for self-supervised learning (SSL) using embedding models and hierarchical k-means clustering. This method improves model performance by ensuring balanced datasets and reducing the costs and time associated with manual curation.

Table of Contents

Chapter 1. Methodology and Scope

  • 1.1. Market Segmentation & Scope
  • 1.2. Market Definition
  • 1.3. Information Procurement
    • 1.3.1. Purchased Database
    • 1.3.2. GVR's Internal Database
    • 1.3.3. Secondary Sources & Third-Party Perspectives
    • 1.3.4. Primary Research
  • 1.4. Information Analysis
    • 1.4.1. Data Analysis Models
  • 1.5. Market Formulation & Data Visualization
  • 1.6. Data Validation & Publishing

Chapter 2. Executive Summary

  • 2.1. Market Insights
  • 2.2. Segmental Outlook
  • 2.3. Competitive Outlook

Chapter 3. Self-supervised Learning Market Variables, Trends & Scope

  • 3.1. Global Self-supervised Learning Market Outlook
  • 3.2. Industry Value Chain Analysis
  • 3.3. Market Dynamics
    • 3.3.1. Market Driver Analysis
    • 3.3.2. Market Restraint Analysis
    • 3.3.3. Industry Challenges
  • 3.4. Porter's Five Forces Analysis
    • 3.4.1. Supplier Power
    • 3.4.2. Buyer Power
    • 3.4.3. Substitution Threat
    • 3.4.4. Threat from New Entrant
    • 3.4.5. Competitive Rivalry
  • 3.5. PESTEL Analysis
    • 3.5.1. Political Landscape
    • 3.5.2. Economic Landscape
    • 3.5.3. Social Landscape
    • 3.5.4. Technological Landscape
    • 3.5.5. Environmental Landscape
    • 3.5.6. Legal Landscape

Chapter 4. Self-supervised Learning Market: End Use Outlook Estimates & Forecasts

  • 4.1. Self-supervised Learning Market: End Use Movement Analysis, 2024 & 2030
    • 4.1.1. Healthcare
      • 4.1.1.1. Healthcare Market estimates and forecast, 2018 - 2030 (USD Million)
    • 4.1.2. BFSI
      • 4.1.2.1. BFSI Market estimates and forecast, 2018 - 2030 (USD Million)
    • 4.1.3. Automotive & Transportation
      • 4.1.3.1. Automotive & Transportation Market estimates and forecast, 2018 - 2030 (USD Million)
    • 4.1.4. Software Development (IT)
      • 4.1.4.1. Software Development (IT) Market estimates and forecast, 2018 - 2030 (USD Million)
    • 4.1.5. Advertising & Media
      • 4.1.5.1. Advertising & Media Market estimates and forecast, 2018 - 2030 (USD Million)
    • 4.1.6. Others
      • 4.1.6.1. Others Market estimates and forecast, 2018 - 2030 (USD Million)

Chapter 5. Self-supervised Learning Market: Technology Outlook Estimates & Forecasts

  • 5.1. Self-supervised Learning Market: Technology Movement Analysis, 2024 & 2030
    • 5.1.1. Natural Language Processing (NLP)
      • 5.1.1.1. Natural Language Processing (NLP) Market estimates and forecast, 2018 - 2030 (USD Million)
    • 5.1.2. Computer Vision
      • 5.1.2.1. Computer Vision Market estimates and forecast, 2018 - 2030 (USD Million)
    • 5.1.3. Speech Processing
      • 5.1.3.1. Speech Processing Market estimates and forecast, 2018 - 2030 (USD Million)

Chapter 6. Self-supervised Learning Market: Regional Estimates & Trend Analysis

  • 6.1. Self-supervised Learning Market Share, By Region, 2024 & 2030 (USD Million)
  • 6.2. North America
    • 6.2.1. North America Self-supervised Learning Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 6.2.1.1. North America Self-supervised Learning Market Estimates and Forecasts, by Country, 2018 - 2030 (USD Million)
      • 6.2.1.2. North America Self-supervised Learning Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
      • 6.2.1.3. North America Self-supervised Learning Market Estimates and Forecasts, by Technology, 2018 - 2030 (USD Million)
    • 6.2.2. U.S.
      • 6.2.2.1. U.S. Self-supervised Learning Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 6.2.2.2. U.S. Self-supervised Learning Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
      • 6.2.2.3. U.S. Self-supervised Learning Market Estimates and Forecasts, by Technology, 2018 - 2030 (USD Million)
    • 6.2.3. Canada
      • 6.2.3.1. Canada Self-supervised Learning Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 6.2.3.2. Canada Self-supervised Learning Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
      • 6.2.3.3. Canada Self-supervised Learning Market Estimates and Forecasts, by Technology, 2018 - 2030 (USD Million)
    • 6.2.4. Mexico
      • 6.2.4.1. Mexico Self-supervised Learning Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 6.2.4.2. Mexico Self-supervised Learning Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
      • 6.2.4.3. Mexico Self-supervised Learning Market Estimates and Forecasts, by Technology, 2018 - 2030 (USD Million)
  • 6.3. Europe
    • 6.3.1. Europe Self-supervised Learning Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 6.3.1.1. Europe Self-supervised Learning Market Estimates and Forecasts, by Country, 2018 - 2030 (USD Million)
      • 6.3.1.2. Europe Self-supervised Learning Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
      • 6.3.1.3. Europe Self-supervised Learning Market Estimates and Forecasts, by Technology, 2018 - 2030 (USD Million)
    • 6.3.2. UK
      • 6.3.2.1. UK Self-supervised Learning Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 6.3.2.2. UK Self-supervised Learning Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
      • 6.3.2.3. UK Self-supervised Learning Market Estimates and Forecasts, by Technology, 2018 - 2030 (USD Million)
    • 6.3.3. Germany
      • 6.3.3.1. Germany Self-supervised Learning Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 6.3.3.2. Germany Self-supervised Learning Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
      • 6.3.3.3. Germany Self-supervised Learning Market Estimates and Forecasts, by Technology, 2018 - 2030 (USD Million)
    • 6.3.4. France
      • 6.3.4.1. France Self-supervised Learning Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 6.3.4.2. France Self-supervised Learning Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
      • 6.3.4.3. France Self-supervised Learning Market Estimates and Forecasts, by Technology, 2018 - 2030 (USD Million)
  • 6.4. Asia Pacific
    • 6.4.1. Asia Pacific Self-supervised Learning Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 6.4.1.1. Asia Pacific Self-supervised Learning Market Estimates and Forecasts, by Country, 2018 - 2030 (USD Million)
      • 6.4.1.2. Asia Pacific Self-supervised Learning Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
      • 6.4.1.3. Asia Pacific Self-supervised Learning Market Estimates and Forecasts, by Technology, 2018 - 2030 (USD Million)
    • 6.4.2. China
      • 6.4.2.1. China Self-supervised Learning Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 6.4.2.2. China Self-supervised Learning Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
      • 6.4.2.3. China Self-supervised Learning Market Estimates and Forecasts, by Technology, 2018 - 2030 (USD Million)
    • 6.4.3. Japan
      • 6.4.3.1. Japan Self-supervised Learning Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 6.4.3.2. Japan Self-supervised Learning Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
      • 6.4.3.3. Japan Self-supervised Learning Market Estimates and Forecasts, by Technology, 2018 - 2030 (USD Million)
    • 6.4.4. India
      • 6.4.4.1. India Self-supervised Learning Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 6.4.4.2. India Self-supervised Learning Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
      • 6.4.4.3. India Self-supervised Learning Market Estimates and Forecasts, by Technology, 2018 - 2030 (USD Million)
    • 6.4.5. South Korea
      • 6.4.5.1. South Korea Self-supervised Learning Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 6.4.5.2. Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
      • 6.4.5.3. South Korea Self-supervised Learning Market Estimates and Forecasts, by Technology, 2018 - 2030 (USD Million)
    • 6.4.6. Australia
      • 6.4.6.1. Australia Self-supervised Learning Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 6.4.6.2. Australia Self-supervised Learning Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
      • 6.4.6.3. Australia Self-supervised Learning Market Estimates and Forecasts, by Technology, 2018 - 2030 (USD Million)
  • 6.5. Latin America
    • 6.5.1. Latin America Self-supervised Learning Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 6.5.1.1. Latin America Self-supervised Learning Market Estimates and Forecasts, by Country, 2018 - 2030 (USD Million)
      • 6.5.1.2. Latin America Self-supervised Learning Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
      • 6.5.1.3. Latin America Self-supervised Learning Market Estimates and Forecasts, by Technology, 2018 - 2030 (USD Million)
    • 6.5.2. Brazil
      • 6.5.2.1. Brazil Self-supervised Learning Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 6.5.2.2. Brazil Self-supervised Learning Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
      • 6.5.2.3. Brazil Self-supervised Learning Market Estimates and Forecasts, by Technology, 2018 - 2030 (USD Million)
  • 6.6. Middle East and Africa
    • 6.6.1. Middle East and Africa Self-supervised Learning Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 6.6.1.1. Middle East and Africa Self-supervised Learning Market Estimates and Forecasts, by Country, 2018 - 2030 (USD Million)
      • 6.6.1.2. Middle East and Africa Self-supervised Learning Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
      • 6.6.1.3. Middle East and Africa Self-supervised Learning Market Estimates and Forecasts, by Technology, 2018 - 2030 (USD Million)
    • 6.6.2. UAE
      • 6.6.2.1. UAE Self-supervised Learning Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 6.6.2.2. UAE Self-supervised Learning Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
      • 6.6.2.3. UAE Self-supervised Learning Market Estimates and Forecasts, by Technology, 2018 - 2030 (USD Million)
    • 6.6.3. KSA
      • 6.6.3.1. KSA Self-supervised Learning Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 6.6.3.2. KSA Self-supervised Learning Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
      • 6.6.3.3. KSA Self-supervised Learning Market Estimates and Forecasts, by Technology, 2018 - 2030 (USD Million)
    • 6.6.4. South Africa
      • 6.6.4.1. South Africa Self-supervised Learning Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 6.6.4.2. South Africa Self-supervised Learning Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
      • 6.6.4.3. South Africa Self-supervised Learning Market Estimates and Forecasts, by Technology, 2018 - 2030 (USD Million)

Chapter 7. Competitive Landscape

  • 7.1. Recent Developments & Impact Analysis, By Key Market Participants
  • 7.2. Vendor Landscape
    • 7.2.1. Company categorization
    • 7.2.2. List of Key Distributors and channel Partners
    • 7.2.3. List of Potential Customers/Listing
  • 7.3. Competitive Dynamics
    • 7.3.1. Competitive Benchmarking
    • 7.3.2. Strategy Mapping
    • 7.3.3. Heat Map Analysis
  • 7.4. Company Profiles/Listing
    • 7.4.1. Alphabet Inc. (Google LLC)
      • 7.4.1.1. Participant's overview
      • 7.4.1.2. Financial performance
      • 7.4.1.3. Product benchmarking
      • 7.4.1.4. Strategic initiatives
    • 7.4.2. Amazon Web Services, Inc.
      • 7.4.2.1. Participant's overview
      • 7.4.2.2. Financial performance
      • 7.4.2.3. Product benchmarking
      • 7.4.2.4. Strategic initiatives
    • 7.4.3. Apple Inc.
      • 7.4.3.1. Participant's overview
      • 7.4.3.2. Financial performance
      • 7.4.3.3. Product benchmarking
      • 7.4.3.4. Strategic initiatives
    • 7.4.4. Baidu, Inc.
      • 7.4.4.1. Participant's overview
      • 7.4.4.2. Financial performance
      • 7.4.4.3. Product benchmarking
      • 7.4.4.4. Strategic initiatives
    • 7.4.5. Iberdrola SA Dataiku
      • 7.4.5.1. Participant's overview
      • 7.4.5.2. Financial performance
      • 7.4.5.3. Product benchmarking
      • 7.4.5.4. Strategic initiatives
    • 7.4.6. Databricks
      • 7.4.6.1. Participant's overview
      • 7.4.6.2. Financial performance
      • 7.4.6.3. Product benchmarking
      • 7.4.6.4. Strategic initiatives
    • 7.4.7. DataRobot, Inc.
      • 7.4.7.1. Participant's overview
      • 7.4.7.2. Financial performance
      • 7.4.7.3. Product benchmarking
      • 7.4.7.4. Strategic initiatives
    • 7.4.8. IBM Corporation
      • 7.4.8.1. Participant's overview
      • 7.4.8.2. Financial performance
      • 7.4.8.3. Product benchmarking
      • 7.4.8.4. Strategic initiatives
    • 7.4.9. Meta
      • 7.4.9.1. Participant's overview
      • 7.4.9.2. Financial performance
      • 7.4.9.3. Product benchmarking
      • 7.4.9.4. Strategic initiatives
    • 7.4.10. Microsoft
      • 7.4.10.1. Participant's overview
      • 7.4.10.2. Financial performance
      • 7.4.10.3. Product benchmarking
      • 7.4.10.4. Strategic initiatives
    • 7.4.11. SAS Institute Inc.
      • 7.4.11.1. Participant's overview
      • 7.4.11.2. Financial performance
      • 7.4.11.3. Product benchmarking
      • 7.4.11.4. Strategic initiatives
    • 7.4.12. Tesla
      • 7.4.12.1. Participant's overview
      • 7.4.12.2. Financial performance
      • 7.4.12.3. Product benchmarking
      • 7.4.12.4. Strategic initiatives
    • 7.4.13. The MathWorks, Inc
      • 7.4.13.1. Participant's overview
      • 7.4.13.2. Financial performance
      • 7.4.13.3. Product benchmarking
      • 7.4.13.4. Strategic initiatives