GVR Report cover Self-supervised Learning Market Size, Share & Trends Report

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

  • Report ID: GVR-4-68039-971-4
  • Number of Report Pages: 100
  • Format: PDF, Horizon Databook
  • Historical Range: 2017 - 2020
  • Forecast Period: 2022 - 2030 
  • Industry: Technology

Report Overview

The global self-supervised learning market size was valued at USD 7.0 billion in 2021 and is expected to grow at a compound annual growth rate (CAGR) of 33.4% from 2022 to 2030. Factors such as the increasing applications of technologies such as voice recognition & face detection and the increasing need to streamline workflow across industries are driving the demand for self-supervised learning applications among industries. Moreover, increasing digitalization is likely to fuel the growth of the market.

U.S. self-supervised learning market size, by technology, 2020 - 2030 (USD Billion)

The COVID-19 pandemic had a positive impact on the market as businesses shifted to the online work model, which thereby boosted digitalization across industries. As per IBM’s global AI adoption index 2022 report, 53% of the IT professionals responded that they accelerated the roll-out of Artificial Intelligence (AI) as a part of their response to the COVID-19 pandemic. Moreover, during the pandemic, chatbots were developed using Machine Learning (ML) to screen COVID-19 symptoms and answer public queries.

Self-supervised learning is a Machine Learning (ML) technique that is used in various AI applications such as Natural Language Processing (NLP), computer vision, and speech processing. Applications of self-supervised learning include face detection, text categorization, and colorization. Moreover, it has applications in various industries such as BFSI, healthcare, automotive & transportation, software development (IT), advertising & media, and others.

As per IBM’s global AI adoption index 2022 report, 34% of respondents believed that a lack of AI skills was restraining the adoption of AI for businesses. Self-supervised learning is at a growing stage that requires a skilled workforce for development. Hence, a lack of a skilled workforce is likely to restrain the self-supervised learning market growth.

Companies such as U.S.-based Apple Inc. and Microsoft are increasingly investing in Research & Development (R&D) activities. Moreover, these companies are researching technologies such as AI and ML. Market players such as U.S.-based Meta are conducting experiments and researching self-supervised learning, presenting significant growth opportunities for the market. For instance, in January 2022, Meta AI announced data2vec, a self-supervised learning algorithm that works for text, vision, and speech. The algorithm outperformed previous algorithms for speech and computer vision.

End-Use Insights

Based on end-use, the market is segmented into healthcare, BFSI, automotive & transportation, software development (IT), media & advertising, and others. The other sub-segment further comprises weather forecasting, academic research, and others. The BFSI segment accounted for the largest revenue of USD 1.28 billion in 2021 and is projected to expand at a CAGR of 33.3% during the forecast period. The market growth in this segment is attributed to the growing adoption of AI and ML technologies in the sector.

Global self-supervised learning market share, by end-use, 2021 (%)

The advertising & media segment is likely to expand at a significant CAGR of 33.7% during the forecast period. Increasing internet penetration and online shopping are driving the need for customer insights, which can be done using the self-supervised learning method. Moreover, increasing adoption of self-supervised learning for detecting hate speech on social media is likely to drive the demand for this technology in the advertising & media industry.

Technology Insights

The Natural Language Processing segment accounted for the largest revenue share of 38.6% in 2021 and is projected to grow at the highest CAGR of 34.1% during the forecast period. The growth of this segment can be attributed to the increasing adoption of NLP applications such as text prediction and chatbots across industries. Moreover, global and regional market players provide NLP-based solutions. For instance, Mexico-based BlueMessaging provides AI-based SmartChat, helping companies build chatbots. The computer vision segment held the second largest revenue share in 2021 and is expected to expand at a CAGR of 32.4% during the forecast period.

Regional Insights

North America dominated the market with a share of 31.7% in 2021 and is expected to expand at the highest CAGR of over 34.0% during the forecast period. Factors such as the presence of prominent market players such as U.S.-based Meta, Microsoft, and Google, the presence of specialists, and developed technology infrastructure are likely to drive the growth of the market in the region.

Self-supervised Learning MarketTrends by Region

Asia Pacific held a revenue of USD 1.68 billion in 2021 and is expected to expand at the second-highest CAGR of 33.5% during the forecast period. Increasing government initiatives in AI solutions in the Asia Pacific and the growing adoption of self-supervised learning applications are driving the growth of the market in the region.

Key Companies & Market Share Insights

The market has a fragmented competitive landscape, featuring several global and regional players. The market players are investing in R&D activities to develop advanced solutions and gain a competitive edge in the market. Moreover, they are entering into partnerships and mergers & acquisitions as the market is characterized by innovation, disruption, and rapid change. For instance, in February 2022, IBM announced the acquisition of Neudesic, a U.S.-based cloud services consultancy. IBM invested in the company’s hybrid cloud and AI strategy. Neudesic adds expertise in data analytics, data engineering, and deep Azure cloud. With this acquisition, IBM aims to expand its cloud service skills and capabilities to meet the client's demands. Some prominent players in the global self-supervised learning market include:

  • IBM

  • Alphabet Inc. (Google LLC)

  • Microsoft

  • Amazon Web Services, Inc.

  • SAS Institute Inc.

  • Dataiku

  • The MathWorks, Inc.

  • Meta

  • Databricks

  • DataRobot, Inc.

  • Apple Inc.

  • Tesla

  • Baidu, Inc.

Self-supervised Learning Market Report Scope 

Report Attribute


Market size value in 2022

USD 8.96 billion

Revenue forecast in 2030

USD 89.68 billion

Growth Rate

CAGR of 33.4% from 2022 to 2030

Base year for estimation


Historical data

2017 - 2020

Forecast period

2022 - 2030

Quantitative units

Revenue in USD million/billion and CAGR from 2022 to 2030

Report coverage

Revenue forecast, company ranking, competitive landscape, growth factors, and trends

Segments covered

End-use, technology, region

Regional scope

North America; Europe; Asia Pacific; Latin America; MEA

Country scope

U.S.; Canada; U.K.; Germany; France; Italy; China; India; Japan; Australia; Brazil; Mexico

Key companies profiled

IBM; Alphabet Inc. (Google LLC); Microsoft, Amazon Web Services, Inc.; SAS Institute Inc.; Dataiku; The MathWorks, Inc.; Meta; Databricks; DataRobot, Inc.; Apple Inc.; Tesla; Baidu, Inc.

Customization scope

Free report customization (equivalent up to 8 analysts working days) with purchase. Addition or alteration to country, regional, and segment scope.

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Global Self-supervised Learning Market Segmentation

This report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2017 to 2030. For this study, Grand View Research has segmented the global self-supervised learning market report based on end-use, technology, and region:

Global Self-supervised Learning Market Segmentation

  • End-use Outlook (Revenue, USD Million, 2017 - 2030)

    • Healthcare

    • BFSI

    • Automotive & Transportation

    • Software Development (IT)

    • Advertising & Media

    • Others

  • Technology Outlook (Revenue, USD Million, 2017 - 2030)

    • Natural Language Processing (NLP)

    • Computer Vision

    • Speech Processing

  • Regional Outlook (Revenue, USD Million, 2017 - 2030)

    • North America

      • U.S.

      • Canada

    • Europe

      • U.K.

      • Germany

      • France

      • Italy

    • Asia Pacific

      • China

      • India

      • Japan

      • Australia

    • Latin America

      • Brazil

      • Mexico

    • Middle East & Africa

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