Text Analytics market is expected to grow US$ 18.28 Bn by 2025 from US$ 2.59 Bn in 2016. The global text analytics market is primarily driven by increase in the volume of unstructured data. Increasing utilization of social media platforms, consumer shifting trends towards online buying and increasing digitalization are some of the factors contributing to increase in unstructured data. Analysis of unstructured data can uncover key patterns capable of forming the basis of decision making in various organizations. Traditionally, the data is analyzed by an individual which becomes ineffective as the volume of data increases. This necessitates use of text analytics software capable of handling large volume of data set capable of finding hidden patterns which assist in decision making purpose. Moreover, companies are able to exploit only 30% of unstructured data generated, this low percentage represents significant opportunity for vendors to develop analytical solutions featured with advanced capabilities including machine learning, NLP and language support.