The global text analytics market size reached US$ 6.3 Billion in 2021. Looking forward, IMARC Group expects the market to reach US$ 16.9 Billion by 2027, exhibiting a growth rate (CAGR) of 17.96% during 2022-2027. Keeping in mind the uncertainties of COVID-19, we are continuously tracking and evaluating the direct as well as the indirect influence of the pandemic on different end use sectors. These insights are included in the report as a major market contributor.

Text analytics refers to the automated process of translating large volumes of unstructured text, such as emails, online reviews, tweets, call center agent notes, and survey results, into quantitative data to obtain insights about trends. It relies on text mining and natural language processing (NLP) algorithms to find meaning from written communication. It can be combined with data visualization tools to enable companies to understand numbers and make better decisions. At present, it is widely used by organizations across the globe to evaluate text in a wide range of languages and gain a deeper understanding of customer opinions.

Text Analytics Market Trends:
Due to the outbreak of coronavirus disease (COVID-19), businesses around the world are focusing on boosting their overall sales by establishing their online presence. As a result, high amounts of unstructured data are generated every minute, which represents one of the key factors encouraging enterprises worldwide to integrate text analytics. Text analytics automatically analyze data from social media posts, emails, live chats and surveys and procure quantitative insights. It assists in identifying patterns, improving customer satisfaction, detecting product issues, conducting market research, and monitoring brand reputation. Moreover, as it is scalable, text analytics is being widely adopted by small and medium-sized enterprises (SMEs) to gain results in real-time, make confident decisions, and resolve customer issues on time. Apart from this, text analytics can also identify actionable insights by aggregating text analysis results and incorporating business intelligence (BI) tools for easy-to-understand reports and graphics. This is positively influencing its utilization in the media, retail, healthcare, travel and tourism, military and defense, information technology (IT) and telecommunication, and banking, financial services, and insurance (BFSI) sectors.

Key Market Segmentation:
IMARC Group provides an analysis of the key trends in each sub-segment of the global text analytics market report, along with forecasts at the global, regional and country level from 2022-2027. Our report has categorized the market based on deployment model, organization size, application and end user.

Breakup by Deployment Model:


Breakup by Organization Size:

Large Enterprises
Small and Medium Enterprises (SMEs)

Breakup by Application:

Competitive Intelligence
Customer Relationship Management
Predictive Analytics
Fraud Detection
Brand Reputation

Breakup by End User:

Fast Moving Consumer Goods (FMCG)
Banking Financial Services and Insurance (BFSI)
Healthcare and Pharmaceuticals

Breakup by Region:

North America
United States
South Korea
United Kingdom
Latin America
Middle East and Africa

Competitive Landscape:
The competitive landscape of the industry has also been examined along with the profiles of the key players being Clarabridge, Infegy, International Business Machines Corporation, Lexalytics Inc., Luminoso Technologies Inc., Microsoft Corporation, Open Text Corporation, Oracle Corporation, SAP SE, SAS Institute Inc., Tableau Software LLC ( Inc), The Hewlett Packard Enterprise Company and TIBCO Software Inc.

Key questions answered in this report:
How has the global text analytics market performed so far and how will it perform in the coming years?
What has been the impact of COVID-19 on the global text analytics market?
What are the key regional markets?
What is the breakup of the market based on the deployment model?
What is the breakup of the market based on the organization size?
What is the breakup of the market based on the application?
What is the breakup of the market based on the end user?
What are the various stages in the value chain of the industry?
What are the key driving factors and challenges in the industry?
What is the structure of the global text analytics market and who are the key players?
What is the degree of competition in the industry?