封面
市場調查報告書
商品編碼
1134997

自監督學習的全球市場規模調查&預測,各技術,各終端用戶,各地區分析,2022-2029年

Global Self-supervised Learning Market Size study & Forecast, by Technology, by End-User and Regional Analysis, 2022-2029

出版日期: | 出版商: Bizwit Research & Consulting LLP | 英文 | 商品交期: 2-3個工作天內

價格

全球自監督學習市場在2021年估算為70億美元,在預測期間的2022-2029年預計將以33.4%以上健全的成長率增長。

本調查的目的是定義近年來各個細分市場和國家的市場規模,並在未來幾年預測它們的價值。本報告設計內容涵蓋調查對象國家產業的定性和定量雙方面。

此外也提供市場未來性的成長促進因素和課題等重要方面相關之詳細資訊。再加上主要企業的競爭情形和提供產品之詳細分析,並涵括利害關係者投資所需的微觀市場潛在機會。詳細的市場區隔和子區隔如下列。

各終端用戶

醫療保健

BFSI

汽車·運輸

軟體開發(IT)

廣告·媒體

其他

科技

自然語言處理(NLP)

computer vision

語音處理

各地區

北美

美國

加拿大

歐洲

英國

德國

法國

西班牙

義大利

其他歐洲

亞太地區

中國

印度

日本

澳洲

韓國

其他亞太地區

南美

巴西

墨西哥

全球其他地區

目錄

第1章 摘要整理

  • 市場概述
  • 世界·各分類市場估計·預測,2019年~2029年
    • 自監督學習市場:各地區,2019年~2029年
    • 自監督學習市場:各技術,2019年~2029年
    • 自監督學習市場:各終端用戶,2019年~2029年
  • 主要趨勢
  • 調查手法
  • 調查前提條件

第2章 自監督學習的全球市場定義和範圍

  • 調查的目的
  • 市場定義和範圍
    • 調查目標範圍
    • 產業的演進
  • 調查對象年
  • 貨幣換算比率

第3章 全球自監督學習市場力學

  • 自監督學習市場影響分析(2019年~2029年)
    • 推動市場要素
    • 市場課題
    • 市場機會

第4章 全球自監督學習市場產業分析

  • 波特的5力模式
    • 供給企業談判力
    • 買方議價能力
    • 新加入廠商業者的威脅
    • 替代品的威脅
    • 競爭企業間的敵對關係
  • 波特五力分析的未來性方法(2019-2029年)
  • PEST分析
    • 政治
    • 經濟
    • 社會
    • 技術性
  • 投資採用模式
  • 分析師的結論·建議
  • 頂級投資機會
  • 主要成功策略

第5章 風險評估:COVID-19衝擊

  • COVID-19對產業帶來的整體影響的評估
  • COVID-19以前和COVID-19以後的市場情景

第6章 自監督學習的全球市場:各終端用戶

  • 市場概述
  • 自監督學習的全球市場:各終端用戶),效能-潛在力分析
  • 自監督學習的全球市場,各終端用戶估計·預測,2019-2029年
  • 自監督學習市場,子區隔分析
    • 醫療保健
    • BFSI
    • 汽車·運輸
    • 軟體開發(IT)
    • 廣告·媒體
    • 其他

第7章 自監督學習的全球市場:各技術

  • 市場概述
  • 自監督學習的全球市場:各技術,性能-潛在力分析
  • 自監督學習的全球市場,各技術估計·預測,2019年~2029年
  • 自監督學習市場,子區隔分析
    • 自然語言處理(NLP)
    • computer vision
    • 語音處理(Speech Processing

第8章 自監督學習的全球市場:各地區分析

  • 自監督學習市場,各地區市場概述
  • 北美
    • 美國
      • 各技術的估計·預測,2019年~2029年
      • 終端用戶明細估計·預測,2019年~2029年
    • 加拿大
  • 歐洲自監督學習市場概述
    • 英國
    • 德國
    • 法國
    • 西班牙
    • 義大利
    • 其他的歐洲地區
  • 亞太地區的自監督學習市場概述
    • 中國
    • 印度
    • 日本
    • 澳洲
    • 韓國
    • 其他亞太地區
  • 南美的自監督學習市場概述
    • 巴西
    • 墨西哥
  • 全球其他地區

第9章 競爭資訊

  • 頂級市場策略
  • 企業簡介
    • IBM
      • 主要的資訊
      • 概要
      • 財務(視資料可得性)
      • 產品概要
      • 最近的開發情形
    • Alphabet Inc.(Google LLC)
    • Microsoft
    • Amazon Web Services, Inc.
    • SAS Institute Inc.
    • Dataiku
    • Apple Inc.
    • Tesla
    • Databricks
    • DataRobot, Inc.

第10章 調查流程

  • 調查流程
    • 資料探勘
    • 分析
    • 市場估計
    • 驗證
    • 出版
  • 調查屬性
  • 調查前提條件

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

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