AI Training Dataset Market

AI Training Dataset Market by Verticals (Healthcare, BFSI, Retail & E-commerce, IT, Automotive, Government, and Others), Types (Image/Video, Audio, and Text), and Regions (Asia Pacific, North America, Latin America, Europe, and Middle East & Africa) - Global Industry Analysis, Growth, Share, Size, Trends, and Forecast 2021 – 2028

  • Report ID: ICT-SE-3468
  • Author: Growth Market Reports
  • Rating: 4.8
  • Total Reviews: 2
  • No. Of Pages: 176
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The global AI training dataset market size was valued at USD 1.10 billion in 2020 and is expected to expand at a CAGR of 19.2% during the forecast period, 2021–2028. The growth of the market is attributed to the increasing demand for application-specific training data.

AI Training Dataset Market key takeaways

The artificial intelligence programs require an initial set of data named a training dataset to act artificial baseline to teach AI models or machine learning algorithms to make an informed decisions. AI is becoming increasingly important in big data because it enables the extraction of high-level and sophisticated abstractions through a hierarchical learning process, necessitating data mining and extraction. The provided dataset is completely dependent on the machine's operation. As a result, providing high-quality datasets for training becomes critical. This high-quality dataset helps AI perform better. It also aids in the reduction of data preparation time and improves prediction accuracy. As a result, market sellers are focusing on acquiring organizations that can assist them in improving data quality.

Machines with AI can learn from their mistakes, execute human-like jobs, and adapt to new inputs. These machines have been programmed to process large amounts of data and identify patterns to complete a specific task. Certain datasets are necessary to train these robots. The demand for AI training datasets is expanding to meet this demand. The COVID-19 pandemic has accelerated AI use in industries including healthcare and e-commerce. The crisis has created situation in which all industries are struggling to stay afloat. Since the market's major players are focusing on transforming their businesses into digital ones, there is a high demand for AI solutions.

Market Trends, Drivers, Restraints, and Opportunities

  • Increasing growth of numerous industries and rapid expansion of large networks of businesses are key factors expected to fuel the market growth.
  • Increasing adoption of applications of training datasets across diversified industry verticals especially in the healthcare industry is a key factor driving the market growth.
  • Lack of access to technological advanced infrastructure in undeveloped countries and high cost for installation of services are major challenges that can hamper the market growth.
  • New entrants are benefiting from the increased demand for application-specific training data, which is projected to create significant growth opportunities for the market.

Scope of the Report

The report on the global AI training dataset market includes an assessment of the market, trends, segments, and regional markets. Overview and dynamics have also been included in the report.

Attributes

Details

Report Title

AI Training Dataset Market - Global Industry Analysis, Growth, Share, Size, Trends, and Forecast

Base Year

2020

Historic Data

2018–2019

Forecast Period

2021–2028

Segmentation

Verticals (Healthcare, BFSI, Retail & E-commerce, IT, Automotive, Government, and Others) and Types (Image/Video, Audio, and Text)

Regional Scope

Asia Pacific, North America, Latin America, Europe, and Middle East & Africa

Report Coverage

Company Share, Market Analysis and Size, Competitive Landscape, Growth Factors, and Trends, and Revenue Forecast

Key Players Covered in the Report

Lionbridge Technologies, Inc.; Amazon Web Services, Inc.; Microsoft Corporation; Scale AI; Inc.; Google, LLC (Kaggle); Appen Limited; Cogito Tech LLC; Scale AI; Inc.; Samasource Inc.; Alegion; and Deep Vision Data

 

AI Training Dataset Market Segment Insights

IT segment is expected to grow at a rapid pace

Based on verticals, the AI training dataset market is divided into healthcare, BFSI, retail & e-commerce, IT, automotive, government, and others. The IT segment is expected to grow rapidly during the forecast period due to high-quality datasets supporting IT organizations in improving a variety of solutions including crowdsourcing, data analytics, virtual assistants, computer vision. However, the healthcare segment is anticipated to hold a key share of the market in the coming years owing to the various opportunities in treatment areas such as lifestyle and wellness management, virtual assistants, diagnostics, and wearables. Moreover; AI in healthcare offers a variety of potential benefits for managing a large volume of patients’ data in hospitals and clinics. Aside from that, AI is used in voice-activated symptom checkers and optimizing organizational efficiency. To produce accurate findings, all of these applications require a large dataset. Therefore, the utilization of datasets is likely to increase, resulting in a significant CAGR during the projected period.

AI Training Dataset Market by verticals

Text segment is projected to expand at a considerable CAGR

On the basis of types, the market is segregated into image/video, audio, and text. The text segment is projected to expand at a considerable CAGR during the forecast period due to its widespread usage of text datasets in the IT industry for speech recognition, text classification, narrative production, and other automated operations. On the other hand, the audio segment is anticipated to account for a major market share during the forecast period due to the large range of audio datasets available. Meanwhile, the image/video type sector is expected to grow at a fast rate during the projected period due to key factors increased focus on launching new datasets with a growing number of applications.

Asia Pacific is anticipated to constitute a key market share

In terms of regions, the AI training dataset market is classified as Asia Pacific, North America, Latin America, Europe, and Middle East & Africa. Asia Pacific is expected to constitute a key share of the market during the projected period owing to wide releasing of new datasets to help expedite the use of artificial intelligence technology in developing industries. Organizations in developing nations such as India are rapidly adopting emerging technology to modernize their companies. In addition, many significant players are concentrating their efforts in the region. With accounting for a large market share, the Europe market is expected to develop moderately.

AI Training Dataset Market by regions

Segments

Segments Covered in the Report
The global AI training dataset market has been segmented on the basis of

Verticals

  • Healthcare
  • BFSI
  • Retail & E-commerce
  • IT
  • Automotive
  • Government
  • Others
Types
  • Image/Video
  • Audio
  • Text
Regions
  • Asia Pacific
  • North America
  • Latin America
  • Europe
  • Middle East & Africa
Key Players
  • Lionbridge Technologies, Inc.
  •  Amazon Web Services, Inc.
  •  Microsoft Corporation
  •  Scale AI, Inc.
  •  Google, LLC (Kaggle)
  •  Appen Limited
  •  Cogito Tech LLC
  •  Scale AI Inc.
  •  Samasource Inc.
  •  Alegion
  •  Deep Vision Data

 

Competitive Landscape

Key players competing in the global AI training dataset market are Lionbridge Technologies, Inc.; Amazon Web Services, Inc.; Microsoft Corporation; Scale AI; Inc.; Google, LLC (Kaggle); Appen Limited; Cogito Tech LLC; Scale AI; Inc.; Samasource Inc.; Alegion; and Deep Vision Data.

Some of these key players are increasing their market consolidations as a result of strategic activities such as mergers, partnerships, and acquisitions. New statistics are also being released by key market participants. Vectorspace AI, a datasets supplier, teamed with Elasticsearch B.V., a search company, in January 2021 to allow the former company make access to AI datasets generated in collaboration with the latter available to its clients.

AI Training Dataset Market by key players

1. Executive Summary
2. Assumptions and Acronyms Used
3. Research Methodology
4. AI Training Dataset Market Overview
  4.1. Introduction
     4.1.1. Market Taxonomy
     4.1.2. Market Definition
  4.2. Macro-Economic Factors
     4.2.1. Industry Outlook
  4.3. AI Training Dataset Market Dynamics
     4.3.1. Market Drivers
     4.3.2. Market Restraints
     4.3.3. Opportunity
     4.3.4. Market Trends
  4.4. AI Training Dataset Market - Supply Chain
  4.5. Global AI Training Dataset Market Forecast
     4.5.1. AI Training Dataset Market Size (US$ Mn) and Y-o-Y Growth
     4.5.2. AI Training Dataset Market Size (000’ Units) and Y-o-Y Growth
     4.5.3. AI Training Dataset Market Absolute $ Opportunity
5. Global AI Training Dataset Market Analysis and Forecast by Region
  5.1. Market Trends
  5.2. Introduction
     5.2.1. Basis Point Share (BPS) Analysis by Region
     5.2.2. Y-o-Y Growth Projections by Region
  5.3. AI Training Dataset Market Size and Volume Forecast by Region
     5.3.1. North America
     5.3.2. Latin America
     5.3.3. Europe
     5.3.4. Asia Pacific
     5.3.5. Middle East and Africa (MEA)
  5.4. Absolute $ Opportunity Assessment by Region
  5.5. Market Attractiveness/Growth Potential Analysis by Region
  5.6. Global AI Training Dataset Demand Share Forecast, 2019-2026
6. North America AI Training Dataset Market Analysis and Forecast
  6.1. Introduction
     6.1.1. Basis Point Share (BPS) Analysis by Country
     6.1.2. Y-o-Y Growth Projections by Country
  6.2. North America AI Training Dataset Market Size and Volume Forecast by Country
     6.2.1. U.S.
     6.2.2. Canada
  6.3. Absolute $ Opportunity Assessment by Country
  6.4. Market Attractiveness/Growth Potential Analysis
     6.4.1. By Country
     6.4.2. By Product Type
     6.4.3. By Application
  6.5. North America AI Training Dataset Demand Share Forecast, 2019-2026
7. Latin America AI Training Dataset Market Analysis and Forecast
  7.1. Introduction
     7.1.1. Basis Point Share (BPS) Analysis by Country
     7.1.2. Y-o-Y Growth Projections by Country
     7.1.3. Latin America Average Pricing Analysis
  7.2. Latin America AI Training Dataset Market Size and Volume Forecast by Country
      7.2.1. Brazil
      7.2.2. Mexico
      7.2.3. Rest of Latin America
   7.3. Absolute $ Opportunity Assessment by Country
  7.4. Market Attractiveness/Growth Potential Analysis
     7.4.1. By Country
     7.4.2. By Product Type
     7.4.3. By Application
  7.5. Latin America AI Training Dataset Demand Share Forecast, 2019-2026
8. Europe AI Training Dataset Market Analysis and Forecast
  8.1. Introduction
     8.1.1. Basis Point Share (BPS) Analysis by Country
     8.1.2. Y-o-Y Growth Projections by Country
     8.1.3. Europe Average Pricing Analysis
  8.2. Europe AI Training Dataset Market Size and Volume Forecast by Country
     8.2.1. Germany
     8.2.2. France
     8.2.3. Italy
     8.2.4. U.K.
     8.2.5. Spain
     8.2.6. Russia
     8.2.7. Rest of Europe
  8.3. Absolute $ Opportunity Assessment by Country
  8.4. Market Attractiveness/Growth Potential Analysis
     8.4.1. By Country
     8.4.2. By Product Type
     8.4.3. By Application
  8.5. Europe AI Training Dataset Demand Share Forecast, 2019-2026
9. Asia Pacific AI Training Dataset Market Analysis and Forecast
  9.1. Introduction
     9.1.1. Basis Point Share (BPS) Analysis by Country
     9.1.2. Y-o-Y Growth Projections by Country
     9.1.3. Asia Pacific Average Pricing Analysis
  9.2. Asia Pacific AI Training Dataset Market Size and Volume Forecast by Country
     9.2.1. China
     9.2.2. Japan
     9.2.3. South Korea
     9.2.4. India
     9.2.5. Australia
     9.2.6. Rest of Asia Pacific (APAC)
  9.3. Absolute $ Opportunity Assessment by Country
  9.4. Market Attractiveness/Growth Potential Analysis
     9.4.1. By Country
     9.4.2. By Product Type
     9.4.3. By Application
  9.5. Asia Pacific AI Training Dataset Demand Share Forecast, 2019-2026
10. Middle East & Africa AI Training Dataset Market Analysis and Forecast
  10.1. Introduction
     10.1.1. Basis Point Share (BPS) Analysis by Country
     10.1.2. Y-o-Y Growth Projections by Country
     10.1.3. Middle East & Africa Average Pricing Analysis
  10.2. Middle East & Africa AI Training Dataset Market Size and Volume Forecast by Country
     10.2.1. Saudi Arabia
     10.2.2. South Africa
     10.2.3. UAE
     10.2.4. Rest of Middle East & Africa (MEA)
  10.3. Absolute $ Opportunity Assessment by Country
  10.4. Market Attractiveness/Growth Potential Analysis
     10.4.1. By Country
     10.4.2. By Product Type
     10.4.3. By Application
  10.5. Middle East & Africa AI Training Dataset Demand Share Forecast, 2019-2026
11. Competition Landscape
  11.1. Global AI Training Dataset Market: Market Share Analysis
  11.2. AI Training Dataset Distributors and Customers
  11.3. AI Training Dataset Market: Competitive Dashboard
  11.4. Company Profiles (Details: Overview, Financials, Developments, Strategy)
     11.4.1. Lionbridge Technologies, Inc.
     11.4.2. Amazon Web Services, Inc.
     11.4.3. Microsoft Corporation
     11.4.4. Scale AI, Inc.
     11.4.5. Google, LLC (Kaggle)
     11.4.6. Appen Limited
     11.4.7. Cogito Tech LLC

Segments Covered in the Report
The global AI training dataset market has been segmented on the basis of

Verticals

  • Healthcare
  • BFSI
  • Retail & E-commerce
  • IT
  • Automotive
  • Government
  • Others
Types
  • Image/Video
  • Audio
  • Text
Regions
  • Asia Pacific
  • North America
  • Latin America
  • Europe
  • Middle East & Africa
Key Players
  • Lionbridge Technologies, Inc.
  •  Amazon Web Services, Inc.
  •  Microsoft Corporation
  •  Scale AI, Inc.
  •  Google, LLC (Kaggle)
  •  Appen Limited
  •  Cogito Tech LLC
  •  Scale AI Inc.
  •  Samasource Inc.
  •  Alegion
  •  Deep Vision Data

 

Key players competing in the global AI training dataset market are Lionbridge Technologies, Inc.; Amazon Web Services, Inc.; Microsoft Corporation; Scale AI; Inc.; Google, LLC (Kaggle); Appen Limited; Cogito Tech LLC; Scale AI; Inc.; Samasource Inc.; Alegion; and Deep Vision Data.

Some of these key players are increasing their market consolidations as a result of strategic activities such as mergers, partnerships, and acquisitions. New statistics are also being released by key market participants. Vectorspace AI, a datasets supplier, teamed with Elasticsearch B.V., a search company, in January 2021 to allow the former company make access to AI datasets generated in collaboration with the latter available to its clients.

AI Training Dataset Market by key players

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