查看购物车
  • Traditional Chinese
  • English
  • Japanese
  • Korean
自我监督学习市场规模、份额和趋势分析报告：按用户（医疗保健、BFSI）、技术（NLP、计算机视觉、语音处理）、地区（北美、欧洲、亚太）细分市场预测2022-2030
市场调查报告书
商品编码
1122290

自我监督学习市场规模、份额和趋势分析报告：按用户（医疗保健、BFSI）、技术（NLP、计算机视觉、语音处理）、地区（北美、欧洲、亚太）细分市场预测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个工作天内

价格

自监督学习市场增长和趋势

根据 Grand View Research, Inc. 的一份新报告，到 2030 年，全球自监督学习市场预计将达到 896.8 亿美元。从 2022 年到 2030 年，市场预计将以 33.4% 的复合年增长率增长。自监督学习是一种机器学习技术，主要用于自然语言处理 (NLP)，其次是计算机视觉和语音处理应用。自监督学习的应用包括释义、着色和语音识别。

COVID-19 大流行对市场产生了积极影响。越来越多的公司正在采用人工智能和机器学习来应对 COVID-19 大流行。许多着名的市场参与者，例如美国的亚马逊网络服务公司、谷歌和微软，在大流行期间都见证了收入的增长。此外，数字化的加速也有助于采用自我监督学习应用程序。例如，2020 年 4 月，Google 的业务部门 Google Cloud 推出了一个人工智能 (AI) 聊天机器人，可提供关键信息来对抗 COVID-19 大流行。

许多市场参与者为各种用途提供解决方案，例如文本转语音以及语言翻译和预测。此外，这些参与者正在研究自我监督学习。例如，美国公司 Meta 正在研究自监督学习，并开发各种算法和模型。 2022 年 2 月，Meta 宣布了其自我监督计算机视觉模型 SEER 的另一次演变。该模型预计将更加强大，并使公司的计算机视觉产品得以构建。

自我监督学习市场报告亮点

按最终用户计算，BFSI 部门预计将在 2021 年占 18.3% 的最大收入份额，并在预测期内保持其地位。这是由于该领域越来越多地采用 AI 和 ML 等技术。在预测期内，广告和媒体部门预计将以 33.7% 的最高复合年增长率增长。

从技术上看，自然语言处理 (NLP) 细分市场将在 2021 年以 38.6% 的份额主导市场，预计在预测期内将以 34.1% 的最高复合年增长率增长。这是由于 NLP 应用程序的多样性和渗透性。

预计北美将在 2021 年占据 31.7% 的最大份额，并在预测期内保持其地位。这可能是由于该地区有大量的市场参与者。此外，专家的存在和技术基础设施的发展正在推动市场的增长。

2022 年 3 月，澳大利亚政府宣布投资 3050 万美元，建立四个数字能力和人工智能 (AI) 中心。通过这项投资，政府旨在推动澳大利亚人工智能研究的商业化。

2021 年 7 月，DataRobot 宣布收购总部位于美国的机器学习操作 (MLOps) 软件平台 Algorithmia。该平台专为 IT 运营专业人员的需求量身定制，使组织能够安全有效地处理大批量、复杂的模型生产。通过此次收购，DataRobot, Inc. 旨在为客户提供一个运行任何机器学习模型的平台。

内容

第一章调查方法及范围

  • 信息采购
    • 购买的数据库
    • GVR 内部数据库
    • 辅助信息和第三方观点
    • 初步调查
  • 信息分析
    • 数据分析模型
  • 市场形成和数据可视化
  • 验证和发布数据

第 2 章执行摘要

  • 市场展望
  • 细分市场展望

第 3 章市场变量、趋势和范围

  • 市场系列展望
    • 母公司市场展望
  • 绘製渗透率和增长前景
  • 行业价值链分析
  • 监管场景
  • 市场动态
    • 市场驱动因素分析
      • 扩展语音识别和人脸检测等技术的应用
      • 简化跨行业工作流程的需求增加
    • 市场约束和问题分析
      • 缺乏熟练劳动力
    • 市场机会分析
      • 科技公司的研发活动增加
  • PEST 分析
  • 波特五力分析
  • COVID-19 对自我监督学习市场的影响

第 4 章自我监督学习市场：估计最终用途和趋势分析

  • 2017-2030 年市场规模估计、预测和趋势分析（百万美元）
  • 2021 年和 2030 年的最终用途变化分析和市场份额
  • 医疗保健
  • BFSI
  • 汽车和交通
  • 软件开发 (IT)
  • 广告媒体
  • 其他

第 5 章自我监督学习市场：技术估计和趋势分析

  • 2017-2030 年市场规模估计、预测和趋势分析（百万美元）
  • 2021 年和 2030 年技术变化分析和市场份额
  • 自然语言处理 (NLP)
  • 计算机视觉
  • 音频处理

第 6 章自我监督学习市场：区域估计和趋势分析

  • 2021 年和 2030 年按地区分列的自主学习市场
  • 2021 年和 2030 年区域变化分析和市场份额
  • 北美
    • 美国
    • 加拿大
  • 欧洲
    • 英国
    • 德国
    • 法国
    • 意大利
    • 其他欧洲
  • 亚太地区
    • 中国
    • 印度
    • 日本
    • 澳大利亚
    • 其他亚太地区
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 其他拉丁美洲
  • 中东和非洲 (MEA)

第 7 章竞争分析

  • 2021 年主要竞争对手概览
  • 主要市场参与者的近期趋势和影响分析
  • 热图分析
  • 市场参与者名单
  • 供应商情况

第 8 章竞争格局

  • IBM
    • 公司概要
    • 财务实绩
    • 产品标准
    • 最近开发
  • Alphabet Inc.（Google LLC）
    • 公司概要
    • 财务实绩
    • 产品标准
    • 最近开发
  • Microsoft
    • 公司概要
    • 财务实绩
    • 产品标准
    • 最近开发
  • Amazon Web Services, Inc.
    • 公司概要
    • 财务实绩
    • 产品标准
    • 最近开发
  • SAS Institute Inc.
    • 公司概要
    • 财务实绩
    • 产品标准
    • 最近开发
  • Dataiku
    • 公司概要
    • 财务实绩
    • 产品标准
  • The MathWorks, Inc.
    • 公司概要
    • 财务实绩
    • 产品标准
    • 最近开发
  • Meta
    • 公司概要
    • 财务实绩
    • 产品标准
    • 最近开发
  • Databricks
    • 公司概要
    • 财务实绩
    • 产品标准
    • 最近开发
  • DataRobot, Inc.
    • 公司概要
    • 财务实绩
    • 产品标准
    • 最近开发
  • Apple Inc.
    • 公司概要
    • 财务实绩
    • 产品标准
    • 最近开发
  • Tesla
    • 公司概要
    • 财务实绩
    • 产品标准
  • Baidu, Inc.
    • 公司概要
    • 财务实绩
    • 产品标准
    • 最近开发

第9章 KOL解说

  • KoL解说分析、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