Data Annotation Service Driving Factor Behind The Market
![Image](https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi0O7kZJ6Hi_hRh8lomiO8Sg3s4n8evS6HEHFOw_eunwOwlLeuMU6ovN4k9jjZTwyyUI8zUT3xlrgDcXN1kpmGx-PPLKX_ox3Ar_s6zgW9vKPs2lOEYivTZw3ZFz8LotYh4s29YQF3Xvis877f0IJDSz1x1jayk3z-uldfuh6_LWzDpFDNqMKCZ8SxI/s320/Data%20Annotation%20Service%20Driving%20Factor%20Behind%20The%20Market.png)
With the new year's dawn, the importance of labelled data is increasing. Because the use of data annotation to aid in machine learning has rapidly developed into a completely new field, There are plenty of exciting opportunities to look forward to by the year 2023 (and over the next few years). Furthermore, a CAGR (Compound annual growth rate) of 26.6 per cent is expected for the market worldwide for services to enhance data annotation through 2030. The market was valued at USD 1.3 billion by the close of 2022. By 2030, it's predicted to be at US dollars 5.3 billion. However, as of now, we can already hear the market booing. Predictive annotation is expected to be the next major trend in data labelling this year. Based on similar manual annotation techniques, the software used to implement this new annotation method can instantly identify and categorize items. After the first few frames, computer vision algorithms have been annotated manually, and subsequent frames are annota