Global Data Labeling Tools Market Size, Status and Forecast 2022

Data labeling tool—also known as training data, data annotation, data tagging, or data classification software—provides a tool set for businesses to turn unlabeled data into labeled data and build corresponding artificial intelligence algorithms.
The growth is majorly driven by the increasing adoption of image data annotation tools in the automotive, retail, and healthcare sectors. 

Market Analysis and Insights: Global Data Labeling Tools Market
In 2021, the global Data Labeling Tools market size will be US$ million and it is expected to reach US$ million by the end of 2027, with a CAGR of % during 2021-2027.
With industry-standard accuracy in analysis and high data integrity, the report makes a brilliant attempt to unveil key opportunities available in the global Data Labeling Tools market to help players in achieving a strong market position. Buyers of the report can access verified and reliable market forecasts, including those for the overall size of the global Data Labeling Tools market in terms of revenue.
On the whole, the report proves to be an effective tool that players can use to gain a competitive edge over their competitors and ensure lasting success in the global Data Labeling Tools market. All of the findings, data, and information provided in the report are validated and revalidated with the help of trustworthy sources. The analysts who have authored the report took a unique and industry-best research and analysis approach for an in-depth study of the global Data Labeling Tools market.

Global Data Labeling Tools Scope and Market Size
Data Labeling Tools market is segmented by company, region (country), by Type, and by Application. Players, stakeholders, and other participants in the global Data Labeling Tools market will be able to gain the upper hand as they use the report as a powerful resource. The segmental analysis focuses on revenue and forecast by Type and by Application in terms of revenue and forecast for the period 2016-2027.

Segment by Type
Cloud-Based
On-Premises

Segment by Application
IT
Automotive
Government
Healthcare
Financial Services
Retail
Others

By Region
North America
U.S.
Canada
Europe
Germany
France
U.K.
Italy
Russia
Nordic
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA

By Company
Annotate.com
Appen Limited
CloudApp
Cogito Tech LLC
Deep Systems
Labelbox, Inc
LightTag
Lotus Quality Assurance
Playment Inc
Tagtog Sp. z o.o
CloudFactory Limited
ClickWorker GmbH
Alegion
Figure Eight Inc.
Amazon Mechanical Turk, Inc
Explosion AI GMbH
Mighty AI, Inc.
Trilldata Technologies Pvt Ltd
Scale AI, Inc.
Google LLC
Lionbridge Technologies, Inc
SuperAnnotate LLC

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