Text analysis software, also called text analytics or text mining software, helps users gain insights from both structured and unstructured text data using natural language processing (NLP). Such insights include sentiment analysis, key phrases, language, themes and patterns, and entities, among others. These solutions leverage NLP and machine learning to pull out these different insights and provide visual representations of the data for easier interpretation.

Market Analysis and Insights: Global Text Analysis Software Market
The global Text Analysis Software market size is projected to reach US$ XX million by 2027, from US$ XX million in 2020, at a CAGR of XX% during 2021-2027.
With industry-standard accuracy in analysis and high data integrity, the report makes a brilliant attempt to unveil key opportunities available in the global Text Analysis Software market to help players in achieving a strong market position. Buyers of the report can access verified and reliable market forecasts, including those for the overall size of the global Text Analysis Software market in terms of revenue.
On the whole, the report proves to be an effective tool that players can use to gain a competitive edge over their competitors and ensure lasting success in the global Text Analysis Software market. All of the findings, data, and information provided in the report are validated and revalidated with the help of trustworthy sources. The analysts who have authored the report took a unique and industry-best research and analysis approach for an in-depth study of the global Text Analysis Software market.

Global Text Analysis Software Scope and Market Size
Text Analysis Software market is segmented by company, region (country), by Type, and by Application. Players, stakeholders, and other participants in the global Text Analysis Software market will be able to gain the upper hand as they use the report as a powerful resource. The segmental analysis focuses on revenue and forecast by Type and by Application in terms of revenue and forecast for the period 2016-2027.

Segment by Type
On-Premises
Cloud Based

Segment by Application
Large Enterprised
SMEs

By Region
North America
U.S.
Canada
Europe
Germany
France
U.K.
Italy
Russia
Nordic
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA

By Company
Microsoft
IBM
QSR International
Google
SayInt
Amazon
MonkeyLearn
SAP
SAS
Lexalytics