Sentiment Analytics Market – Challenges, Key Vendors, Drivers and Trends by ForePosted by Kiran on November 14th, 2019 Sentiment Analytics Market Highlights: Sentiment analytics determines the emotional tone behind a series of words and analyses human emotions, sentiments with the help of consumer data (primarily social media feeds), deep learning capabilities and natural language processing (NLP). The global sentiment analytics market is anticipated to grow at a CAGR of 14% and reach a valuation of USD 6 Bn over the forecast period of 2017-2023, asserts Market Research Future (MRFR) in a detailed research report. Growing popularity of social media platforms is one of the preliminary factors spurring the growth of the global sentiment analytics market. Advances made in the field of artificial intelligence (AI) which allows contemplation of human behavior and emotions also drives the market for sentiment analytics. The emergence of big data is a crucial factor in boosting the growth of the global sentiment analytics market. Availability of colossal amounts of data allows enterprises to leverage it to get actionable insights. Growing adoption of cloud computing is also a major factor driving the growth of the global sentiment analytics market. Other drivers include seamless integration and up gradation, and cost saving on infrastructure. On the other hand, high costs associated with sentiment analytics hinders adoptions, especially from government institutions which limit the growth of the global sentiment analytics market. Access Report Details @https://www.marketresearchfuture.com/reports/sentiment-analytics-market-4304 Competitive Landscape Adoreboard (U.K.), Twizoo (U.K.), IBM (U.S.), Aylien (Ireland), SAS Institute (U.S.), Angoss Sentiment Corporation (Canada), Bottlenose.Com (U.S.), Clarabridge (U.S.), Brandwatch (U.K.), and Crowdflower (U.S.) are the remarkable players in the global sentiment analytics market. Segmentation The global sentiment analytics market has been segmented based on component, deployment, organization size, and vertical.
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