Market Research Report
Data Collection And Labeling Market Size, Share & Trends Analysis Report By Data Type (Audio, Image/Video, Text), By Vertical (IT, Automotive, Healthcare), By Region, And Segment Forecasts, 2021 - 2028
|Published by||Grand View Research, Inc.||Product code||989684|
|Published||Content info||70 Pages
Delivery time: 2-3 business days
|Data Collection And Labeling Market Size, Share & Trends Analysis Report By Data Type (Audio, Image/Video, Text), By Vertical (IT, Automotive, Healthcare), By Region, And Segment Forecasts, 2021 - 2028|
|Published: February 2, 2021||Content info: 70 Pages||
The global data collection and labeling market size is expected to reach USD 8.22 billion by 2028, according to a new report by Grand View Research, Inc. The market is anticipated to expand at a CAGR of 25.6% from 2021 to 2028. Data collection and labeling refer to the process of collecting datasets from online sources and other sources and labeling them based on their nature, data type, and feature. Data gathering and its annotation, combined with artificial intelligence (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 in the world of social networking, have benefited from the image processing technology in terms of audience engagement as they have created a more connected experience by encouraging users to share images and tag their friends.
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. A vast amount of visual and digital information is being captured and shared through several applications, websites, social networks, and other digital channels. Several businesses have leveraged this available online content to deliver smarter and better services to their customers, with the use of data annotation. For instance, Scale AI, Inc., the U.S.-based tech start-up, has provided 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 the development of machine learning models, many companies may not have the resources who can produce acceptable and accurate results. Therefore, several companies are taking strategic initiatives to expand their business in the field of 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 proliferate the use of computer vision and IoT sensors to help retailers better understand customer behavior and manage their physical spaces.