Data labelling software—also known as training data, data annotation, data tagging, or data classification software—provides a toolset for businesses to turn unlabelled data into labelled data and build corresponding artificial intelligence algorithms. Within these tools, the user inputs a given dataset and the software provides a label through machine learning-assisted labelling, a human task force, or the user themselves. Some platforms allow for the combination of the three, giving the user (or the system itself) the ability to choose who or what is doing the labelling, based on factors such as price, quality, and speed.
Data labelling tools differ as it relates to the types of data, as well as the subsets of those types (e.g., satellite imagery, LIDAR, etc.), they support. The types of annotation also vary and include image segmentation and object detection for image data; named entity recognition (NER) and sentiment detection for text data and transcription and emotion recognition for speech annotation. To assess the quality of the labels, most tools use metrics like a consensus, ground truth, and more.
This software can often integrate with data science and machine learning platforms, whereby the labelled data from the data labelling software helps to train an algorithm.
Data Labelling Software Market Pricing
The Data Labelling Software pricing is estimated to range from USD 100 to USD 150 per year. The pricing depends on the features and specifications integrated into the software. The main features of the software include emotional intelligence, conversational ability, broad knowledge base, personal, and personality.
Market Scope
The research study provides an in-depth analysis of the Data Labelling Software market along with the current market trends and future estimations to elucidate the imminent investment pockets. Information about key drivers, restraints, and opportunities and their impact analysis on the market size is provided. Porter’s five forces analysis illuminates the potency of suppliers and buyers operating in the market. A quantitative analysis of the Data Labelling Software market from 2022 to 2030 is provided to determine the market potential.
The market size, untapped opportunity index, and forecasts of Data Labelling Software in the global market, including the following market information:
- Global Data Labelling Software Market Revenue, 2018-2021, 2022-2030, (USD Millions)
- Global Data Labelling Software Market Sales, 2018-2021, 2022-2030, (Units)
- Global top five Data Labelling Software companies in 2021 (%)
Data Labelling Software Market Segmentation
Global Data Labelling Software Market, By Deployment Model, 2018-2021, 2022-2030 (USD Millions)
- On-Premise
- Cloud
- Hybrid
Global Data Labelling Software Market Segment Percentages, By Region and Country, 2021 (%)
- North America
- US
- Canada
- Mexico
- Europe
- Germany
- France
- The U.K.
- Italy
- Russia
- Nordic Countries
- Benelux
- Rest of Europe
- Asia
- China
- Japan
- South Korea
- Southeast Asia
- India
- Rest of Asia
- South America
- Brazil
- Argentina
- Rest of South America
- Middle East & Africa
- Turkey
- Israel
- Saudi Arabia
- UAE
- Rest of the Middle East & Africa
To know more about the Report: https://www.regionalresearchreports.com/request-sample/global-data-labelling-software-market/ICT-114
