Data Labeling Report Cover TrendFeedr

Data Labeling Report

: Analysis on the Market, Trends, and Technologies
Topic Size
trending indicator
Topic Maturity
Monthly Search Volume
Published: July 6, 2024
Updated: July 6, 2024
Author: Thomas Ryan

The data labeling sector is a vital component in the advancement of data analytics and artificial intelligence. It plays a critical role in enhancing various applications such as image recognition, speech processing, and sentiment analysis. With 478 companies operating within this domain, it is clear that data labeling is an established yet growing field. The industry sees widespread adoption across multiple sectors, including IT & Services, Software Development, and Financial Services, indicating its broad relevance. The sector is experiencing substantial growth, with notable increases in news coverage, funding, and the emergence of new companies. Key investors are actively contributing to this expansion, with the total annual revenue reaching $7 billion. Companies are expanding their workforce significantly, reflecting the sector’s dynamic and promising nature.

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Topic Dominance Index of Data Labeling

To identify the Dominance Index of Data Labeling in the Trend and Technology ecosystem, we look at 3 different time series: the timeline of published articles, founded companies, and global search. These timelines are normalized and combined to show a comprehensive view of the Data Labeling evolution relative to all known Trends and Technologies.

Dominance Index growth in the last 5 years: 124.16%
Growth per month: 1.38%

Key Activities and Applications

  • Enhancement of image recognition systems through precise data tagging.
  • Improvement of speech processing applications with accurate labeling.
  • Advancement of sentiment analysis tools by providing informative data samples.
  • Support for diverse industries, including IT, software development, and financial services.
  • Expansion of workforce and operations in leading data labeling companies.

Technologies and Methodologies

  • Utilization of advanced machine learning and AI technologies for data labeling.
  • Implementation of innovative identification products to address complex labeling challenges.
  • Development of Mobile Interactive Real-time Streaming (MIRS™) to leverage high-speed infrastructures like 5G and 6G.
  • Deployment of decentralized autonomous organizations (DAOs) for community-driven AI innovations.

Data Labeling Funding

A total of 86 Data Labeling companies have received funding.
Overall, Data Labeling companies have raised $864.7M.
Companies within the Data Labeling domain have secured capital from 313 funding rounds.
The chart shows the funding trendline of Data Labeling companies over the last 5 years

Funding growth in the last 5 years: 237.51%
Growth per month: 2.74%

Data Labeling Companies

The Companies feature is a crucial part of TrendFeedr. It offers in-depth information about 478 companies working within Data Labeling and other trends and technologies. Identify and analyze innovators and key players in relevant industries more easily with this feature.

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478 Data Labeling Companies

Discover Data Labeling Companies, their Funding, Manpower, Revenues, Stages, and much more

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Data Labeling Investors

TrendFeedr’s investors tool offers a detailed view of investment activities that align with specific trends and technologies. This tool features comprehensive data on 59 Data Labeling investors, funding rounds, and investment trends, providing an overview of market dynamics.

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59 Data Labeling Investors

Discover Data Labeling Investors, Funding Rounds, Invested Amounts, and Funding Growth

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Data Labeling News

Stay informed and ahead of the curve with TrendFeedr’s News feature, which provides access to 2.2K Data Labeling articles. The tool is tailored for professionals seeking to understand the historical trajectory and current momentum of changing market trends.

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2.2K Data Labeling News Articles

Discover Latest Data Labeling Articles, News Magnitude, Publication Propagation, Yearly Growth, and Strongest Publications

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Executive Summary

Data labeling stands as a robust and evolving sector, integral to the progress of AI and data analytics. With a strong market presence and a trajectory marked by steady growth, significant investment opportunities, and a diverse range of applications, the sector is poised for continued expansion. The adoption of advanced technologies and methodologies underscores the industry’s commitment to innovation and efficiency. As companies actively seek to enhance their data labeling capabilities, the ecosystem is set to offer even more promising prospects for businesses aiming to harness the power of labeled data for decision-making and innovation.

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