PUBLISHER: Grand View Research | PRODUCT CODE: 1300970
PUBLISHER: Grand View Research | PRODUCT CODE: 1300970
The global data labeling solution and services market is expected to reach USD 57.63 billion by 2030, according to a new report by Grand View Research, Inc. The market is anticipated to register a CAGR of 21.3% from 2023 to 2030. The prominent use of data labeling solutions and services in the automotive industry, combined with its self-driving vehicles that comprehend networking systems and various sensors that assist the computer in driving the car, is the key factor propelling the market's growth.
The global labeling solution and services market is driven by increased public awareness of digitalization, growing healthcare treatments, and improved technology. Prominent technology improvements in several industries for use in large enterprises, automotive, and the healthcare sector is growing the demand for data labeling solution & services. For instance, Toyota Research Institute, Zoox, Waymo LLC, and Lyft, Inc., use data labeling services provided by Scale AI, Inc., a digital start-up based in the United States. Vendors increasingly use data labeling on services and products to deliver customers with ingredient lists, which is projected to enhance the global market. For instance, Image processing technology has helped Twitter and Facebook, two well-known social networking sites, increase audience engagement since it has prompted users to post photographs and tag their contacts, resulting in a more connected experience.
Moreover, Machine learning applications are extensively used to classify data items like tweets or news articles. This, in turn, calls for a specific annotated training dataset, which helps in developing algorithms that automatically classify future data items. Yet, manually constructing such a dataset is a complex task and requires coders to expend a significant amount of time. With the growing execution of electronic health record systems (HER), clinical data collection, mostly unstructured text documents, has become a valuable resource for clinical research. To unlock data hidden in clinical literature, statistical NLP (natural language processing) standards have been developed.
Text labelling is commonly used in social media monitoring to create recommendation systems because to advancements in sentiment analysis. In December 2019, Enlitic, Inc. announced a partnership with MLPCare, a Turkey-based private healthcare provider, to integrate clinical artificial intelligence into the healthcare systems of Turkey and adjacent countries in Central Asia and Eastern Europe. Under the agreement, Enlitic, Inc. is developing, training, and validating its deep learning models for patients in Turkey. Hence the increased application of Data Labeling Solution and Services is expected to propel the growth of the market.