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自我監督學習市場規模、份額和趨勢分析報告：按用戶（醫療保健、BFSI）、技術（NLP、計算機視覺、語音處理）、地區（北美、歐洲、亞太）細分市場預測2022-2030
市場調查報告書
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1122290

自我監督學習市場規模、份額和趨勢分析報告：按用戶（醫療保健、BFSI）、技術（NLP、計算機視覺、語音處理）、地區（北美、歐洲、亞太）細分市場預測2022-2030

Self-supervised Learning Market Size, Share & Trends Analysis Report By End Use (Healthcare, BFSI), By Technology (NLP, Computer Vision, Speech Processing), By Region (North America, Europe, Asia Pacific), And Segment Forecasts, 2022 - 2030
出版日期: | 出版商: Grand View Research | 英文 100 Pages | 商品交期: 2-10個工作天內

價格

自監督學習市場增長和趨勢

根據 Grand View Research, Inc. 的一份新報告，到 2030 年，全球自監督學習市場預計將達到 896.8 億美元。從 2022 年到 2030 年，市場預計將以 33.4% 的複合年增長率增長。自監督學習是一種機器學習技術，主要用於自然語言處理 (NLP)，其次是計算機視覺和語音處理應用。自監督學習的應用包括釋義、著色和語音識別。

COVID-19 大流行對市場產生了積極影響。越來越多的公司正在採用人工智能和機器學習來應對 COVID-19 大流行。許多著名的市場參與者，例如美國的亞馬遜網絡服務公司、谷歌和微軟，在大流行期間都見證了收入的增長。此外，數字化的加速也有助於採用自我監督學習應用程序。例如，2020 年 4 月，Google 的業務部門 Google Cloud 推出了一個人工智能 (AI) 聊天機器人，可提供關鍵信息來對抗 COVID-19 大流行。

許多市場參與者為各種用途提供解決方案，例如文本轉語音以及語言翻譯和預測。此外，這些參與者正在研究自我監督學習。例如，美國公司 Meta 正在研究自監督學習，並開發各種算法和模型。 2022 年 2 月，Meta 宣布了其自我監督計算機視覺模型 SEER 的另一次演變。該模型預計將更加強大，並使公司的計算機視覺產品得以構建。

自我監督學習市場報告亮點

按最終用戶計算，BFSI 部門預計將在 2021 年佔 18.3% 的最大收入份額，並在預測期內保持其地位。這是由於該領域越來越多地採用 AI 和 ML 等技術。在預測期內，廣告和媒體部門預計將以 33.7% 的最高複合年增長率增長。

從技術上看，自然語言處理 (NLP) 細分市場將在 2021 年以 38.6% 的份額主導市場，預計在預測期內將以 34.1% 的最高複合年增長率增長。這是由於 NLP 應用程序的多樣性和滲透性。

預計北美將在 2021 年佔據 31.7% 的最大份額，並在預測期內保持其地位。這可能是由於該地區有大量的市場參與者。此外，專家的存在和技術基礎設施的發展正在推動市場的增長。

2022 年 3 月，澳大利亞政府宣布投資 3050 萬美元，建立四個數字能力和人工智能 (AI) 中心。通過這項投資，政府旨在推動澳大利亞人工智能研究的商業化。

2021 年 7 月，DataRobot 宣布收購總部位於美國的機器學習操作 (MLOps) 軟件平台 Algorithmia。該平台專為 IT 運營專業人員的需求量身定制，使組織能夠安全有效地處理大批量、複雜的模型生產。通過此次收購，DataRobot, Inc. 旨在為客戶提供一個運行任何機器學習模型的平台。

內容

第一章調查方法及範圍

  • 信息採購
    • 購買的數據庫
    • GVR 內部數據庫
    • 輔助信息和第三方觀點
    • 初步調查
  • 信息分析
    • 數據分析模型
  • 市場形成和數據可視化
  • 驗證和發布數據

第 2 章執行摘要

  • 市場展望
  • 細分市場展望

第 3 章市場變量、趨勢和範圍

  • 市場系列展望
    • 母公司市場展望
  • 繪製滲透率和增長前景
  • 行業價值鏈分析
  • 監管場景
  • 市場動態
    • 市場驅動因素分析
      • 擴展語音識別和人臉檢測等技術的應用
      • 簡化跨行業工作流程的需求增加
    • 市場約束和問題分析
      • 缺乏熟練勞動力
    • 市場機會分析
      • 科技公司的研發活動增加
  • PEST 分析
  • 波特五力分析
  • COVID-19 對自我監督學習市場的影響

第 4 章自我監督學習市場：估計最終用途和趨勢分析

  • 2017-2030 年市場規模估計、預測和趨勢分析（百萬美元）
  • 2021 年和 2030 年的最終用途變化分析和市場份額
  • 醫療保健
  • BFSI
  • 汽車和交通
  • 軟件開發 (IT)
  • 廣告媒體
  • 其他

第 5 章自我監督學習市場：技術估計和趨勢分析

  • 2017-2030 年市場規模估計、預測和趨勢分析（百萬美元）
  • 2021 年和 2030 年技術變化分析和市場份額
  • 自然語言處理 (NLP)
  • 計算機視覺
  • 音頻處理

第 6 章自我監督學習市場：區域估計和趨勢分析

  • 2021 年和 2030 年按地區分列的自主學習市場
  • 2021 年和 2030 年區域變化分析和市場份額
  • 北美
    • 美國
    • 加拿大
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 意大利
    • 其他歐洲
  • 亞太地區
    • 中國
    • 印度
    • 日本
    • 澳大利亞
    • 其他亞太地區
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 其他拉丁美洲
  • 中東和非洲 (MEA)

第 7 章競爭分析

  • 2021 年主要競爭對手概覽
  • 主要市場參與者的近期趨勢和影響分析
  • 熱圖分析
  • 市場參與者名單
  • 供應商情況

第 8 章競爭格局

  • IBM
    • 公司概要
    • 財務實績
    • 產品標準
    • 最近開發
  • Alphabet Inc.（Google LLC）
    • 公司概要
    • 財務實績
    • 產品標準
    • 最近開發
  • Microsoft
    • 公司概要
    • 財務實績
    • 產品標準
    • 最近開發
  • Amazon Web Services, Inc.
    • 公司概要
    • 財務實績
    • 產品標準
    • 最近開發
  • SAS Institute Inc.
    • 公司概要
    • 財務實績
    • 產品標準
    • 最近開發
  • Dataiku
    • 公司概要
    • 財務實績
    • 產品標準
  • The MathWorks, Inc.
    • 公司概要
    • 財務實績
    • 產品標準
    • 最近開發
  • Meta
    • 公司概要
    • 財務實績
    • 產品標準
    • 最近開發
  • Databricks
    • 公司概要
    • 財務實績
    • 產品標準
    • 最近開發
  • DataRobot, Inc.
    • 公司概要
    • 財務實績
    • 產品標準
    • 最近開發
  • Apple Inc.
    • 公司概要
    • 財務實績
    • 產品標準
    • 最近開發
  • Tesla
    • 公司概要
    • 財務實績
    • 產品標準
  • Baidu, Inc.
    • 公司概要
    • 財務實績
    • 產品標準
    • 最近開發

第9章 KOL解說

  • KoL解說分析、2021年
Product Code: GVR-4-68039-971-4

Self-supervised Learning Market Growth & Trends:

The global self-supervised learning market size is anticipated to reach USD 89.68 billion by 2030, according to a new report by Grand View Research, Inc. The market is expected to expand at a CAGR of 33.4% from 2022 to 2030. 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 LearningMarket Report Highlights:

  • In terms of end-use, the BFSI segment accounted for the largest revenue share of 18.3% in 2021 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 likely to expand at the highest CAGR of 33.7 % during the forecast period.
  • Based on technology, the Natural Language Processing (NLP) segment dominated the market with a share of 38.6% in 2021 and is also expected to grow at the highest CAGR of 34.1% during the forecast period. This can be attributed to the variety and penetration of NLP applications.
  • North America held the largest share of 31.7% in 2021 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 March 2022, the Australian government announced an investment of USD 30.5 million for establishing four digital capability and Artificial Intelligence (AI) centers. The government aims to drive the commercialization of Australia's AI research with this investment.
  • In July 2021, DataRobot, Inc. announced the acquisition of Algorithmia Inc., a U.S.-based Machine Learning Operations (MLOps) software platform. The platform is made for IT operations specialists' needs, enabling organizations to address high-volume and complex model production securely and efficiently. DataRobot, Inc. aims to provide customers with a platform for running any machine learning model with this acquisition.

Table of Contents

Chapter 1 Methodology and Scope

  • 1.1 Information Procurement
    • 1.1.1 Purchased database
    • 1.1.2 GVR's internal database
    • 1.1.3 Secondary sources & third-party perspective
    • 1.1.4 Primary research
  • 1.2 Information Analysis
    • 1.2.1 Data analysis models
  • 1.3 Market Formulation and Data Visualization
  • 1.4 Data Validation and Publishing

Chapter 2 Executive Summary

  • 2.1 Market Outlook
  • 2.2 Segment Outlook

Chapter 3 Market Variables, Trends & Scope

  • 3.1 Market Lineage Outlook
    • 3.1.1 Parent market outlook
  • 3.2 Penetration & Growth Prospect Mapping
  • 3.3 Industry Value Chain Analysis
  • 3.4 Regulatory Scenario
  • 3.5 Market Dynamics
    • 3.5.1 Market driver analysis
      • 3.5.1.1 Growing applications of technologies such as voice recognition and face detection
      • 3.5.1.2 Increasing demand to streamline workflow across industries
    • 3.5.2 Market restraint/challenges analysis
      • 3.5.2.1 Lack of skilled workforce
    • 3.5.3 Market opportunity analysis
      • 3.5.3.1 Increasing R&D activities in technology companies
  • 3.6 PEST Analysis
  • 3.7 Porter's Five Forces Analysis
  • 3.8 COVID-19 Impact on Self-supervised Learning Market

Chapter 4 Self-supervised Learning Market: End-use Estimates & Trend Analysis

  • 4.1 Market Size Estimates & Forecasts and Trend Analysis, 2017 - 2030 (USD Million)
  • 4.2 End-use Movement Analysis & Market Share, 2021 & 2030
  • 4.3 Healthcare
    • 4.3.1 Market size estimates and forecasts, 2017 - 2030 (USD Million)
  • 4.4 BFSI
    • 4.4.1 Market size estimates and forecasts, 2017 - 2030 (USD Million)
  • 4.5 Automotive & Transportation
    • 4.5.1 Market size estimates and forecasts, 2017 - 2030 (USD Million)
  • 4.6 Software Development (IT)
    • 4.6.1 Market size estimates and forecasts, 2017 - 2030 (USD Million)
  • 4.7 Advertising & Media
    • 4.7.1 Market size estimates and forecasts, 2017 - 2030 (USD Million)
  • 4.8 Others
    • 4.8.1 Market size estimates and forecasts, 2017 - 2030 (USD Million)

Chapter 5 Self-supervised Learning Market: Technology Estimates & Trend Analysis

  • 5.1 Market Size Estimates & Forecasts and Trend Analysis, 2017 - 2030 (USD Million)
  • 5.2 Technology Movement Analysis & Market Share, 2021 & 2030
  • 5.3 Natural Language Processing (NLP)
    • 5.3.1 Market size estimates and forecasts, 2017 - 2030 (USD Million)
  • 5.4 Computer Vision
    • 5.4.1 Market size estimates and forecasts, 2017 - 2030 (USD Million)
  • 5.5 Speech Processing
    • 5.5.1 Market size estimates and forecasts, 2017 - 2030 (USD Million)

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

  • 6.1 Self-supervised Learning Market by Region, 2021 & 2030
  • 6.2 Regional Movement Analysis & Market Share, 2021 & 2030
  • 6.3 North America
    • 6.3.1 North America self-supervised learning market, 2017 to 2030 (USD Million)
    • 6.3.2 North America self-supervised learning market, by end-use, 2017 to 2030 (USD Million)
    • 6.3.3 North America self-supervised learning market, by technology, 2017 to 2030 (USD Million)
    • 6.3.4 U.S.
      • 6.3.4.1 U.S. self-supervised learning market, by end-use, 2017 to 2030 (USD Million)
      • 6.3.4.2 U.S. self-supervised learning market, by technology, 2017 to 2030 (USD Million)
    • 6.3.5 Canada
      • 6.3.5.1 Canada self-supervised learning market, by end-use, 2017 to 2030 (USD Million)
      • 6.3.5.2 Canada self-supervised learning market, by technology, 2017 to 2030 (USD Million)
  • 6.4 Europe
    • 6.4.1 Europe self-supervised learning market, 2017 to 2030 (USD Million)
    • 6.4.2 Europe self-supervised learning market, by end-use, 2017 to 2030 (USD Million)
    • 6.4.3 Europe self-supervised learning market, by technology, 2017 to 2030 (USD Million)
    • 6.4.4 U.K.
      • 6.4.4.1 U.K. self-supervised learning market, by end-use, 2017 to 2030 (USD Million)
      • 6.4.4.2 U.K. self-supervised learning market, by technology, 2017 to 2030 (USD Million)
    • 6.4.5 Germany
      • 6.4.5.1 Germany self-supervised learning market, by end-use, 2017 to 2030 (USD Million)
      • 6.4.5.2 Germany self-supervised learning market, by technology, 2017 to 2030 (USD Million)
    • 6.4.6 France
      • 6.4.6.1 France self-supervised learning market, by end-use, 2017 to 2030 (USD Million)
      • 6.4.6.2 France self-supervised learning market, by technology, 2017 to 2030 (USD Million)
    • 6.4.7 Italy
      • 6.4.7.1 Italy self-supervised learning market, by end-use, 2017 to 2030 (USD Million)
      • 6.4.7.2 Italy self-supervised learning market, by technology, 2017 to 2030 (USD Million)
    • 6.4.8 Rest of Europe
      • 6.4.8.1 Rest of Europe self-supervised learning market, by end-use, 2017 to 2030 (USD Million)
      • 6.4.8.2 Rest of Europe self-supervised learning market, by technology, 2017 to 2030 (USD Million)
  • 6.5 Asia Pacific
    • 6.5.1 Asia Pacific self-supervised learning market, 2017 to 2030 (USD Million)
    • 6.5.2 Asia Pacific self-supervised learning market, by end-use, 2017 to 2030 (USD Million)
    • 6.5.3 Asia Pacific self-supervised learning market, by technology, 2017 to 2030 (USD Million)
    • 6.5.4 China
      • 6.5.4.1 China self-supervised learning market, by end-use, 2017 to 2030 (USD Million)
      • 6.5.4.2 China self-supervised learning market, by technology, 2017 to 2030 (USD Million)
    • 6.5.5 India
      • 6.5.5.1 India self-supervised learning market, by end-use, 2017 to 2030 (USD Million)
      • 6.5.5.2 India self-supervised learning market, by technology, 2017 to 2030 (USD Million)
    • 6.5.6 Japan
      • 6.5.6.1 Japan self-supervised learning market, by end-use, 2017 to 2030 (USD Million)
      • 6.5.6.2 Japan self-supervised learning market, by technology, 2017 to 2030 (USD Million)
    • 6.5.7 Australia
      • 6.5.7.1 Australia self-supervised learning market, by end-use, 2017 to 2030 (USD Million)
      • 6.5.7.2 Australia self-supervised learning market, by technology, 2017 to 2030 (USD Million)
    • 6.5.8 Rest of Asia Pacific
      • 6.5.8.1 Rest of Asia Pacific self-supervised learning market, by end-use, 2017 to 2030 (USD Million)
      • 6.5.8.2 Rest of Asia Pacific self-supervised learning market, by technology, 2017 to 2030 (USD Million)
  • 6.6 Latin America
    • 6.6.1 Latin America self-supervised learning market, 2017 to 2030 (USD Million)
    • 6.6.2 Latin America self-supervised learning market, by end-use, 2017 TO 2030 (USD Million)
    • 6.6.3 Latin America self-supervised learning market, by technology, 2017 to 2030 (USD Million)
    • 6.6.4 Brazil
      • 6.6.4.1 Brazil self-supervised learning market, by end-use, 2017 to 2030 (USD Million)
      • 6.6.4.2 Brazil self-supervised learning market, by technology, 2017 to 2030 (USD Million)
    • 6.6.5 Mexico
      • 6.6.5.1 Mexico self-supervised learning market, by end-use, 2017 to 2030 (USD Million)
      • 6.6.5.2 Mexico self-supervised learning market, by technology, 2017 to 2030 (USD Million)
    • 6.6.6 Rest of Latin America
      • 6.6.6.1 Rest of Latin America self-supervised learning market, by end-use, 2017 to 2030 (USD Million)
      • 6.6.6.2 Rest of Latin America self-supervised learning market, by technology, 2017 to 2030 (USD Million)
  • 6.7 Middle East & Africa (MEA)
    • 6.7.1 Middle East & Africa (MEA) self-supervised learning market, 2017 to 2030 (USD Million)
    • 6.7.2 Middle East & Africa (MEA) self-supervised learning market, by end-use, 2017 to 2030 (USD Million)
    • 6.7.3 Middle East & Africa (MEA) self-supervised learning market, by technology, 2017 to 2030 (USD Million)

Chapter 7 Competitive Analysis

  • 7.1 Key Competitor Overview, 2021
  • 7.2 Recent Developments & Impact Analysis, by Key Market Participants
  • 7.3 Heat Map Analysis
  • 7.4 List of Market Players
  • 7.5 Vendor Landscape

Chapter 8 Competitive Landscape

  • 8.1 IBM
    • 8.1.1 Company overview
    • 8.1.2 Financial performance
    • 8.1.3 Product benchmarking
    • 8.1.4 Recent developments
  • 8.2 Alphabet Inc. (Google LLC)
    • 8.2.1 Company overview
    • 8.2.2 Financial performance
    • 8.2.3 Product benchmarking
    • 8.2.4 Recent developments
  • 8.3 Microsoft
    • 8.3.1 Company overview
    • 8.3.2 Financial performance
    • 8.3.3 Product benchmarking
    • 8.3.4 Recent developments
  • 8.4 Amazon Web Services, Inc.
    • 8.4.1 Company overview
    • 8.4.2 Financial performance
    • 8.4.3 Product benchmarking
    • 8.4.4 Recent developments
  • 8.5 SAS Institute Inc.
    • 8.5.1 Company overview
    • 8.5.2 Financial performance
    • 8.5.3 Product benchmarking
    • 8.5.4 Recent developments
  • 8.6 Dataiku
    • 8.6.1 Company overview
    • 8.6.2 Financial performance
    • 8.6.3 Product benchmarking
  • 8.7 The MathWorks, Inc.
    • 8.7.1 Company overview
    • 8.7.2 Financial performance
    • 8.7.3 Product benchmarking
    • 8.7.4 Recent developments
  • 8.8 Meta
    • 8.8.1 Company overview
    • 8.8.2 Financial performance
    • 8.8.3 Product benchmarking
    • 8.8.4 Recent developments
  • 8.9 Databricks
    • 8.9.1 Company overview
    • 8.9.2 Financial performance
    • 8.9.3 Product benchmarking
    • 8.9.4 Recent developments
  • 8.10 DataRobot, Inc.
    • 8.10.1 Company overview
    • 8.10.2 Financial performance
    • 8.10.3 Product benchmarking
    • 8.10.4 Recent developments
  • 8.11 Apple Inc.
    • 8.11.1 Company overview
    • 8.11.2 Financial performance
    • 8.11.3 Product benchmarking
    • 8.11.4 Recent developments
  • 8.12 Tesla
    • 8.12.1 Company overview
    • 8.12.2 Financial performance
    • 8.12.3 Product benchmarking
  • 8.13 Baidu, Inc.
    • 8.13.1 Company overview
    • 8.13.2 Financial performance
    • 8.13.3 Product benchmarking
    • 8.13.4 Recent developments

Chapter 9 KOL Commentary

  • 9.1 KoL Commentary Analysis, 2021

List of Tables

  • Table 1 Self-supervised learning market size estimates & forecasts, 2017 - 2030 (USD Million)
  • Table 2 Self-supervised learning market, by region, 2017 - 2030 (USD Million)
  • Table 3 Self-supervised learning market, by end-use, 2017 - 2030 (USD Million)
  • Table 4 Self-supervised learning market, by technology, 2017 - 2030 (USD Million)
  • Table 5 Key market driver impact
  • Table 6 Key market restraint/challenges impact
  • Table 7 Self-supervised learning market for healthcare, by region, 2017 - 2030 (USD Million)
  • Table 8 Self-supervised learning market for BFSI, by region, 2017 - 2030 (USD Million)
  • Table 9 Self-supervised learning market for automotive & transportation, by region, 2017 - 2030 (USD Million)
  • Table 10 Self-supervised learning market for software development (IT), by region, 2017 - 2030 (USD Million)
  • Table 11 Self-supervised learning market for automotive & transportation, by region, 2017 - 2030 (USD Million)
  • Table 12 Self-supervised learning market for advertising & media, by region, 2017 - 2030 (USD Million)
  • Table 13 Self-supervised learning market for others, by region, 2017 - 2030 (USD Million)
  • Table 14 Self-supervised learning market for Natural Language Processing (NLP), by region, 2017 - 2030 (USD Million)
  • Table 15 Self-supervised learning market for computer vision, by region, 2017 - 2030 (USD Million)
  • Table 16 Self-supervised learning market for speech recognition, by region, 2017 - 2030 (USD Million)
  • Table 17 North America self-supervised learning market, by end-use, 2017 - 2030 (USD Million)
  • Table 18 North America self-supervised learning market, by technology 2017 - 2030 (USD Million)
  • Table 19 U.S. self-supervised learning market, by end-use, 2017 - 2030 (USD Million)
  • Table 20 U.S. self-supervised learning market, by technology 2017 - 2030 (USD Million)
  • Table 21 Canada self-supervised learning market, by end-use, 2017 - 2030 (USD Million)
  • Table 22 Canada self-supervised learning market, by technology 2017 - 2030 (USD Million)
  • Table 23 Europe self-supervised learning market, by end-use, 2017 - 2030 (USD Million)
  • Table 24 Europe self-supervised learning market, by technology, 2017 - 2030 (USD Million)
  • Table 25 U.K. self-supervised learning market, by end-use, 2017 - 2030 (USD Million)
  • Table 26 U.K. self-supervised learning market, by technology 2017 - 2030 (USD Million)
  • Table 27 Germany self-supervised learning market, by end-use, 2017 - 2030 (USD Million)
  • Table 28 Germany self-supervised learning market, by technology 2017 - 2030 (USD Million)
  • Table 29 France self-supervised learning market, by end-use, 2017 - 2030 (USD Million)
  • Table 30 France self-supervised learning market, by technology 2017 - 2030 (USD Million)
  • Table 31 Italy self-supervised learning market, by end-use, 2017 - 2030 (USD Million)
  • Table 32 Italy self-supervised learning market, by technology 2017 - 2030 (USD Million)
  • Table 33 Rest of Europe self-supervised learning market, by end-use, 2017 - 2030 (USD Million)
  • Table 34 Rest of Europe self-supervised learning market, by technology 2017 - 2030 (USD Million)
  • Table 35 Asia Pacific self-supervised learning market, by end-use, 2017 - 2030 (USD Million)
  • Table 36 Asia Pacific self-supervised learning market, by technology 2017 - 2030 (USD Million)
  • Table 37 China self-supervised learning market, by end-use, 2017 - 2030 (USD Million)
  • Table 38 China self-supervised learning market, by technology 2017 - 2030 (USD Million)
  • Table 39 India self-supervised learning market, by end-use, 2017 - 2030 (USD Million)
  • Table 40 India self-supervised learning market, by technology 2017 - 2030 (USD Million)
  • Table 41 Japan self-supervised learning market, by end-use, 2017 - 2030 (USD Million)
  • Table 42 Japan self-supervised learning market, by technology 2017 - 2030 (USD Million)
  • Table 43 Rest of Asia Pacific self-supervised learning market, by end-use, 2017 - 2030 (USD Million)
  • Table 44 Rest of Asia Pacific self-supervised learning market, by technology 2017 - 2030 (USD Million)
  • Table 45 Latin America self-supervised learning market, by end-use, 2017 - 2030 (USD Million)
  • Table 46 Latin America self-supervised learning market, by technology 2017 - 2030 (USD Million)
  • Table 47 Brazil self-supervised learning market, by end-use, 2017 - 2030 (USD Million)
  • Table 48 Brazil self-supervised learning market, by technology 2017 - 2030 (USD Million)
  • Table 49 Mexico self-supervised learning market, by end-use, 2017 - 2030 (USD Million)
  • Table 50 Mexico self-supervised learning market, by technology 2017 - 2030 (USD Million)
  • Table 51 Rest of Latin America self-supervised learning market, by end-use, 2017 - 2030 (USD Million)
  • Table 52 Rest of Latin America self-supervised learning market, by technology 2017 - 2030 (USD Million)
  • Table 53 Middle East & Africa self-supervised learning market, by end-use, 2017 - 2030 (USD Million)
  • Table 54 Middle East & Africa self-supervised learning market, by technology 2017 - 2030 (USD Million)

List of Figures

  • Fig. 1 Information procurement
  • Fig. 2 Primary research pattern
  • Fig. 3 Primary research process
  • Fig. 4 Market formulation and data visualization
  • Fig. 5 Industry snapshot
  • Fig. 6 Penetration & growth prospects mapping
  • Fig. 7 Market dynamics
  • Fig. 8 PEST analysis
  • Fig. 9 Self-supervised learning market, by end-use, key takeaways, 2017-2030 revenue (USD Million)
  • Fig. 10 End-use movement analysis & market share, 2021 & 2030 revenue (USD Million)
  • Fig. 11 Self-supervised learning market, by technology, key takeaways, 2017-2030 revenue (USD Million)
  • Fig. 12 Technology movement analysis & market share, 2021 & 2030 revenue (USD Million)
  • Fig. 13 Self-supervised learning market by region, 2021 & 2030 revenue (USD Million)
  • Fig. 14 Regional movement analysis & market share, 2021 & 2030 revenue (USD Million)
  • Fig. 15 North America self-supervised learning market- key takeaways, 2021 & 2030 revenue (USD Million)
  • Fig. 16 North America self-supervised learning market, 2017 to 2030 (USD Million)
  • Fig. 17 Europe self-supervised learning market- key takeaways, 2021 & 2030 revenue (USD Million)
  • Fig. 18 Europe self-supervised learning market, 2017 to 2030 (USD Million)
  • Fig. 19 Asia Pacific self-supervised learning market- key takeaways, 2021 & 2030 revenue (USD Million)
  • Fig. 20 Asia Pacific self-supervised learning market, 2017 to 2030 (USD Million)
  • Fig. 21 Latin America self-supervised learning market- key takeaways, 2021 & 2030 revenue (USD Million)
  • Fig. 22 Latin America self-supervised learning market, 2017 to 2030 (USD Million)
  • Fig. 23 Middle East & Africa (MEA) self-supervised learning market- key takeaways, 2021 & 2030 revenue (USD Million)
  • Fig. 24 Middle East & Africa (MEA) self-supervised learning market, 2017 to 2030 (USD Million)
  • Fig. 25 Company market position analysis
  • Fig. 26 KoL Commentary