Market revenue in 2023 | USD 4,204.8 million |
Market revenue in 2030 | USD 13,678.1 million |
Growth rate | 18.4% (CAGR from 2023 to 2030) |
Largest segment | It & telecom |
Fastest growing segment | Healthcare |
Historical data | 2018 - 2022 |
Base year | 2023 |
Forecast period | 2024 - 2030 |
Quantitative units | Revenue in USD million |
Market segmentation | IT & Telecom, Government, Healthcare, BFSI, Retail & E-commerce |
Key market players worldwide | Allegion PLC, Amazon.com Inc, Appen Ltd, Cogito Tech, Uber Technologies Inc, TELUS International (Cda) Inc Ordinary Shares (Sub Voting), Yandex NV Shs Class-A-, clickworker, Zight (formerly CloudApp), CloudFactory, Deep Systems, Edgecase.ai, Explosion AI, Heex Technologies, Labelbox, Scale AI, Shaip, Tagtog |
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The databook is designed to serve as a comprehensive guide to navigating this sector. The databook focuses on market statistics denoted in the form of revenue and y-o-y growth and CAGR across the globe and regions. A detailed competitive and opportunity analyses related to data labeling solution and services market will help companies and investors design strategic landscapes.
It & telecom was the largest segment with a revenue share of 24.62% in 2023. Horizon Databook has segmented the U.S. data labeling solution and services market based on it & telecom, government, healthcare, bfsi, retail & e-commerce covering the revenue growth of each sub-segment from 2018 to 2030.
In January 2020, Apple Inc. (U.S.) acquired the U.S. firm Xnor.ai, which develops innovative AI capabilities. With this acquisition, Xnor.ai's AI-powered image identification features will likely to be included in the next iPhones and cameras.
The rising trend in the data labeling solutions and services market is the increasing use of crowdsourcing to generate labeled data. Crowdsourcing involves outsourcing tasks to a large group of people over the Internet, which can be a cost-effective and efficient way of generating high-quality labeled data.
Several companies in the U.S. offer crowdsourced data labeling solutions and services, such as Appen, Lionbridge, and Crowd Flower. One significant trend in the data labeling solutions and services market is using artificial intelligence (AI) and machine learning (ML) techniques to increase the accuracy and speed of data labeling.
Horizon Databook provides a detailed overview of country-level data and insights on the U.S. data labeling solution and services market , including forecasts for subscribers. This country databook contains high-level insights into U.S. data labeling solution and services market from 2018 to 2030, including revenue numbers, major trends, and company profiles.
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