PUBLISHER: Grand View Research | PRODUCT CODE: 1611202
PUBLISHER: Grand View Research | PRODUCT CODE: 1611202
The global data collection and labeling market size is expected to reach USD 17.10 billion by 2030, expanding at 28.4% CAGR from 2025 to 2030, according to a new report by Grand View Research, Inc. Data collection and labeling refers to the collection of datasets from various sources and labeling them based on their nature. This includes categorizing them by data type, and features. Data gathering and its annotation, combined with AI technology, have created valuable growth opportunities in several verticals, such as gaming, social networking, and e-commerce.
For instance, Twitter and Facebook, two major platforms of social networking, have benefited from image-processing technology in audience engagement. Companies use data labeling platforms to identify raw data for the machine learning model. Text, movies, audio, and other items are raw data. For instance, in May 2022, Heartex, Inc., an annotation tool and data labeling platform provider announced a USD 25 million Series A fundraising round. The funds will go toward its AI-driven open-source data labeling platform. The platform aims to assist in labeling workflows for various AI use cases, and it includes capabilities for reporting, data quality control, and analytics.
The advent of digital capturing devices, particularly cameras built into smartphones, has led to an exponential growth in the volume of digital content in the form of images and videos. Much visual and digital information is being captured and shared through several applications, websites, social networks, and other digital channels. Several businesses have leveraged this online content to deliver more innovative and better customer services using data annotation. For instance, Scale AI, Inc., a U.S.-based tech start-up provides valuable data labeling services to its autonomous driving customers, including Waymo LLC; Lyft, Inc.; Zoox; and Toyota Research Institute.
However, data cleaning remains a significant challenge involved in data labeling. Also, considering the time, complexity, and cost associated with developing machine learning models, many companies may need more resources to produce acceptable and accurate results. Therefore, several companies are taking strategic initiatives to expand their business in artificial intelligence-based data gathering. For instance, in July 2020, Microsoft acquired Orions Digital Systems, Inc., a U.S.-based data management solutions provider, to boost its Dynamics 365 Connected Store capabilities. This acquisition is anticipated to increase the use of computer vision and IoT sensors to help retailers better understand customer behavior and manage their physical spaces.