Text Analytics Market: Expeditious Growth Recorded in the next few years (CAGR, Revenue, Segment Share, Big Corp. strategy and more)

The global text analytics market has the potential to reach $6.5 billion by 2020, registering a CAGR of 25.2% during 2014-2020. Predictive analytics is the most attractive application within text analytics, which provides insights on unstructured text and helps the companies to formulate business strategies accordingly. Retail sector largely uses text analytics software, which approximately contributes 1/3rdof revenue amongst all industries. Use of text analytics in Healthcare accelerates Health-Care research, which eventually adds to the rapid growth of the healthcare and pharmaceutical sector.

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Comprehending the benefits of the text analytics in predicting and forecasting consumer behavior, the technology is gaining ground and helping corporations to strategically position themselves in the competitive market. The capability of the technology to deduce trends from the unstructured text and single out rationale is the driving force for the market.

The upsurge in the adoption of social networking platforms for conversations, rising adoption of cloud computing technologies and the ability of text analytics to move beyond sentiment analysis are some major driving factors for text analytics industry. Nevertheless, despite the finer and profitable aspects, the technology has some vices posing as obstacles for the growth of the market. The expensive analytic software and lack of awareness among the stakeholders about the advantages of text analytics in the pivotal regions would impede the growth of the market.

Text analytics finds wide acceptance in regions such as North America due to the early adoption of big data analytics in the region. North American region approximately holds 40% of global text analytics market amongst all regions. Till 2012, North American region generated about 2.5 exabytes (2.5 million gigabytes) of data per day and the number is anticipated to double every 40 months.

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For instance, Walmart collect 2.5 petabytes of data from their customers' transactions. Therefore, the use of text analytics software to analyze customers' demands is on the higher side, as compared to other regions. Substantial amount of data is generated in the region on a daily basis, which is a gold mine for companies that understand the importance of historical data. Historical data trend is further used to forecast the trend of the market in the coming years. Therefore, predictive analytics is also increasingly used to forecast the market trend and formulate the business strategies.

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