New York, 15 March 2021 (GLOBE NEWSWIRE) – Reportlinker.com announces publication of “Text Analytics: Global Markets” report – https://www.reportlinker.com/p06036105/?utm_source=GNW
Revenue projections for this period are broken down by usage, application, end-user and geography. Market values were calculated based on the total revenue of software and services.
The report also focuses on the key driving trends and challenges affecting the market and the retailer’s landscape. The report outlines the competitive landscape and current trends in the text analytics market.
The report concludes with an analysis of the text analytics vendor landscape and includes detailed descriptions of the key players in global text analytics market.
Report includes:
– 68 records
– Global market overview for in-industry text analysis
– Analyzes of global market trends, with data from 2019-2020, estimates for 2021 and 2023, and projections of complex annual growth rates (CAGRs) through 2025
– Assess the value chain in the text analytics business ecosystem
– Selection of the impact of COVID-19 pandemic disease on the text analysis industry
– Market size measurement and revenue projections for the text analytics industry, and market share analysis by usage type, application, end-user, and geographic area
– Understanding of upcoming market opportunities and focus areas for market forecasting to different segments
– Identify key market stakeholders text analysis and competitive landscape analysis for market leaders
– insights into market dynamics including drivers and constraints, and other macroeconomic factors affecting the text analysis industry
– Detailed profiles of key players including Alphabet Inc., Amazon.com, Basis Technology, IBM, Microsoft, SAS, and Texifter LLC
Summary:
Text analysis is a subset of natural language processing (NLP). Business vendors often use basic terms.
Text analysis falls under the artificial intelligence (AI) family. Technological advances within AI have allowed more accurate and contextual analysis of multifaceted, multilingual text data.
Text analysis is the process of obtaining a business perspective from text sources. Text analytics scenarios cover not only a broad set of operational requirements, such as enterprise content management and advanced search engines, but also tasks such as social media analytics, email / document analysis and format analysis. -free.
Simply put, text analysis is the use of technology to collect, store, and mine textual information to convert large volumes of unstructured text into quantitative data to determine insights, trends, and patterns. can be used to find softer business decisions.
The COVID-19 pandemic has given further impetus to the market for text analysis, especially in industries such as life sciences and healthcare, where research documents from around the world and beyond need to be analyzed. different languages to create new drugs or courses of treatment.At the same time, governments and public health departments are trying to extract data from social media and other sources to monitor citizens ’response to COVID measures such as social distance.
Many other businesses, such as banking and financial services (which require the processing of large numbers of documents) focus on handling customer complaints and keeping the lights on for their back office applications as they struggle with smaller employees (as most business processes put out (BPO activity has been affected). These and other organizations trying to accelerate natural language technologies (NLTs), from text analysis to chatbots to document processing, to get the best work done and move towards digital transformation.
The text analytics market is expected to grow from $ REDACTED billion in 2020 at a CAGR of REDACTED% to reach $ REDACTED billion in 2025.
Read the full report: https://www.reportlinker.com/p06036105/?utm_source=GNW
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