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Asia Pacific AI Training Dataset Market By Type (Image/Video, Text and Audio), By End User (IT & Telecom, Retail & E-commerce, Government, Healthcare, Automotive, and Others), By Country, Growth Potential, Industry Analysis Report and Forecast, 2021 - 2027

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    Report

  • 88 Pages
  • September 2021
  • Region: Asia Pacific
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 5472818

The Asia Pacific AI Training Dataset Market is expected to witness market growth of 19.4% CAGR during the forecast period (2021-2027).

The growing deployment of automation technology in several industries like automotive and manufacturing is anticipated to significantly surge the growth of the AI training dataset market in the coming years. The artificial Intelligence training dataset is also known as a learning set, ground truth data, and training dataset. Mainly, an AI training dataset is a kind of information that is utilized to train a machine learning model that contains both input and output data. AI and MI models commonly utilize several kinds of datasets to learn and identify several data patterns to use diverse technologies so that models can provide precise output while it's implemented in real-world applications.

Various nations in this region like China, South Korea, and India are developing as manufacturing hubs. Due to this reason, industries in these nations are highly deploying artificial intelligence and automated solutions to gain a competitive edge and achieve the highest productivity rate. This is accountable to fuel the demand for training datasets in the region, thus propelling the regional market growth. In addition, the private and public sectors are increasingly adopting advanced technologies like artificial intelligence and machine learning, which are supporting the growth of the regional AI training dataset market.

Additionally, many small enterprises are entering various industries and surging the demand for artificial intelligence technology, which is supporting the AI training dataset market. Moreover, China is the major contributor as numerous key players of different industries are present in this nation. Thus, it is anticipated that China is expected to create lucrative opportunities for the market vendors of artificial technology that will further boost the growth of the AI training dataset market in the upcoming years.

The Image/Video market dominated the Malaysia AI Training Dataset Market by Type 2020, thereby, achieving a market value of $22.4 million by 2027. The Text market is estimated to grow at a CAGR of 23.4% during (2021 - 2027). Additionally, The Audio market is showcasing highest CAGR of 24.2% during (2021 - 2027).

Based on Type  , the market is segmented into Image/Video, Text and Audio. Based on End User, the market is segmented into IT & Telecom, Retail & E-commerce, Government, Healthcare, Automotive, and Others. Based on countries, the market is segmented into China, Japan, India, South Korea, Singapore, Malaysia, and Rest of Asia Pacific.

The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Google, LLC (Kaggle), Appen Limited, Cogito Tech LLC, Telus International (Telus Corporation), Amazon Web Services, Inc., Microsoft Corporation, Scale AI Inc., Sama Inc., Alegion, and Kinetic Vision, Inc. (Deep Vision Data).



Scope of the Study


Market Segments Covered in the Report:


By Application

  • Image/Video
  • Text
  • Audio

By End User

  • IT & Telecom
  • Retail & E-commerce
  • Government
  • Healthcare
  • Automotive
  • Others

By Country

  • China
  • Japan
  • India
  • South Korea
  • Singapore
  • Malaysia
  • Rest of Asia Pacific

Key Market Players


List of Companies Profiled in the Report:


  • Google, LLC (Kaggle)
  • Appen Limited
  • Cogito Tech LLC
  • Telus International (Telus Corporation)
  • Amazon Web Services, Inc.
  • Microsoft Corporation
  • Scale AI Inc.
  • Sama Inc.
  • Alegion
  • Kinetic Vision, Inc. (Deep Vision Data)

Unique Offerings from the Publisher

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  • The highest number of market tables and figures
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Table of Contents

Chapter 1. Market Scope & Methodology
1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 Asia Pacific AI Training Dataset Market, by Application
1.4.2 Asia Pacific AI Training Dataset Market, by End User
1.4.3 Asia Pacific AI Training Dataset Market, by Country
1.5 Methodology for the research
Chapter 2. Market Overview
2.1 Introduction
2.1.1 Overview
2.1.1.1 COVID-19 Impact
2.1.1.2 Market Composition and Scenario
2.2 Key Factors Impacting the Market
2.2.1 Market Drivers
2.2.2 Market Restraints
Chapter 3. Competition Analysis - Global
3.1 Cardinal Matrix
3.2 Recent Industry Wide Strategic Developments
3.2.1 Partnerships, Collaborations and Agreements
3.2.2 Product Launches and Product Expansions
3.2.3 Acquisition and Mergers
3.3 Top Winning Strategies
3.3.1 Key Leading Strategies: Percentage Distribution (2017-2021)
3.3.2 Key Strategic Move: (Product Launches and Product Expansions: 2017, Jun - 2021, Jun) Leading Players
Chapter 4. Asia Pacific AI Training Dataset Market by Type
4.1 Asia Pacific AI Training Dataset Image/Video Market by Country
4.2 Asia Pacific AI Training Dataset Text Market by Country
4.3 Asia Pacific AI Training Dataset Audio Market by Country
Chapter 5. Asia Pacific AI Training Dataset Market by End User
5.1 Asia Pacific IT & Telecom AI Training Dataset Market by Country
5.2 Asia Pacific Retail & E-commerce AI Training Dataset Market by Country
5.3 Asia Pacific Government AI Training Dataset Market by Country
5.4 Asia Pacific Healthcare AI Training Dataset Market by Country
5.5 Asia Pacific Automotive AI Training Dataset Market by Country
5.6 Asia Pacific Others AI Training Dataset Market by Country
Chapter 6. Asia Pacific AI Training Dataset Market by Country
6.1 China AI Training Dataset Market
6.1.1 China AI Training Dataset Market by Type
6.1.2 China AI Training Dataset Market by End User
6.2 Japan AI Training Dataset Market
6.2.1 Japan AI Training Dataset Market by Type
6.2.2 Japan AI Training Dataset Market by End User
6.3 India AI Training Dataset Market
6.3.1 India AI Training Dataset Market by Type
6.3.2 India AI Training Dataset Market by End User
6.4 South Korea AI Training Dataset Market
6.4.1 South Korea AI Training Dataset Market by Type
6.4.2 South Korea AI Training Dataset Market by End User
6.5 Singapore AI Training Dataset Market
6.5.1 Singapore AI Training Dataset Market by Type
6.5.2 Singapore AI Training Dataset Market by End User
6.6 Malaysia AI Training Dataset Market
6.6.1 Malaysia AI Training Dataset Market by Type
6.6.2 Malaysia AI Training Dataset Market by End User
6.7 Rest of Asia Pacific AI Training Dataset Market
6.7.1 Rest of Asia Pacific AI Training Dataset Market by Type
6.7.2 Rest of Asia Pacific AI Training Dataset Market by End User
Chapter 7. Company Profiles
7.1 Google LLC (Kaggle Inc.)
7.1.1 Company Overview
7.1.2 Financial Analysis
7.1.3 Segmental and Regional Analysis
7.1.4 Research & Development Expenses
7.1.5 Recent strategies and developments:
7.1.5.1 Product Launches and Product Expansions:
7.1.5.2 Acquisition and Mergers:
7.1.6 SWOT Analysis
7.2 Microsoft Corporation
7.2.1 Company Overview
7.2.2 Financial Analysis
7.2.3 Segmental and Regional Analysis
7.2.4 Research & Development Expenses
7.2.5 Recent strategies and developments:
7.2.5.1 Product Launches and Expansions:
7.2.5.2 Partnerships, Collaborations, and Agreements:
7.2.5.3 Acquisitions and Mergers:
7.2.6 SWOT Analysis
7.3 Appen Limited
7.3.1 Company Overview
7.3.2 Financial Analysis
7.3.3 Segmental and Regional Analysis
7.3.4 Recent strategies and developments:
7.3.4.1 Partnerships, Collaborations, and Agreements:
7.3.4.2 Product Launches and Product Expansions:
7.3.4.3 Acquisition and Mergers:
7.4 Telus International (Telus Communications Inc.)
7.4.1 Company Overview
7.4.2 Financial Analysis
7.4.3 Segmental and Regional Analysis
7.4.4 Recent strategies and developments:
7.4.4.1 Partnerships, Collaborations, and Agreements:
7.4.4.2 Acquisition and Mergers:
7.5 Amazon Web Services, Inc.
7.5.1 Company Overview
7.5.2 Financial Analysis
7.5.3 Segmental and Regional Analysis
7.5.4 Recent strategies and developments:
7.5.4.1 Partnerships, Collaborations, and Agreements:
7.5.4.2 Product Launches and Product Expansions:
7.5.5 SWOT Analysis
7.6 Sama Inc.
7.6.1 Company Overview
7.6.2 Recent strategies and developments:
7.6.2.1 Partnerships, Collaborations, and Agreements:
7.7 Kinetic Vision, Inc. (Deep Vision Data)
7.7.1 Company Overview
7.7.2 Recent strategies and developments:
7.7.2.1 Product Launches and Product Expansions:
7.8 Cogito Tech LLC
7.8.1 Company Overview
7.8.2 Recent strategies and developments:
7.8.2.1 Product Launches and Product Expansions:
7.9 Scale AI, Inc.
7.9.1 Company Overview
7.9.2 Recent strategies and developments:
7.9.2.1 Partnerships, Collaborations, and Agreements:
7.9.2.2 Product Launches and Product Expansions:
7.10. Alegion, Inc.
7.10.1 Company Overview
7.10.2 Recent strategies and developments:
7.10.2.1 Product Launches and Product Expansions:

Companies Mentioned

  • Google, LLC (Kaggle)
  • Appen Limited
  • Cogito Tech LLC
  • Telus International (Telus Corporation)
  • Amazon Web Services, Inc.
  • Microsoft Corporation
  • Scale AI Inc.
  • Sama Inc.
  • Alegion
  • Kinetic Vision, Inc. (Deep Vision Data)

Methodology

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