Global Data Annotation Tools Market was valued US$ XX Bn in 2018 and is expected to reach US$ 2.03 Bn by 2026, at a CAGR of around XX % during a forecast period.
Annotation in machine learning is a process of labeling data which can be in form of text, images, audio or objects to make it recognizable for machines. Data annotation tools allow users to add cost to data by labeling and adding data attributes. The combination of data attributes allows users to manage data definitions in someplace by eliminating the need to rewrite similar rules in multiple places. Global Data Annotation Tools Market The growth of the data annotation tools market is driven as there is favorable need in the industry. Vendors in this market are seen focusing on the development of novel marketing strategies and ideas to carve a niche position for themselves. The prominent focus is being put towards the launch of new products, create a brand reputation, and gain a strong position in the global data annotation tools market.