Market Share: Text Analytics Platforms, 2025, Worldwide

Quadrant Knowledge Solutions Reveals that Text Analytics Market is Projected to Register a CAGR of 20.40% by 2030.  

  Traditional data analysis is based on relational models in which data is stored in tables with predefined data attributes called as structured data. According to research, only 20% of the data available in the enterprise is structured and the rest 80% is unstructured in the form of articles in Wikipedia, webpages, tweets, forms, etc which is practically impossible for human to process. Text analytics is defined as the process of gathering, analyzing, and extracting valuable insights or information from vast amounts of textual data using machine learning and NLP (natural language processing) techniques. It uses data visualization tools to transform insights into quantitative data while text analysis obtains qualitative insights from unstructured text. Text analytics leverages automated classification and extraction models to find relevant information within no time and help companies to make smart data-driven decisions.  
 

Quadrant Knowledge Solutions defines Text Analytics as “Text analytics involves processing semi-structured and unstructured documents to derive meaningful data for analysis promoting relevant automation and critical business insights. Text analytics solutions make use of machine learning algorithms to perform lexical analysis, categorization, clustering, pattern recognition, information extraction, and visualization for deriving patterns and trends enabling critical actions and insights in relation to the available text data. Making use of speech-to-text technology, optical character recognition (OCR), natural language generation (NLG), and visualization techniques the text analytics pipeline ensures detailed measurement of customer opinions, product reviews and feedback, sentimental analysis, and entity modeling. Text analytics software solutions providers offer analytics through algorithm-based applications for ease of data extraction and storage within data warehouses. This promotes critical use cases including improved customer sentiment analysis and customer feedback processing, identification of probable fraud and ensuring associated legal and compliance adherence and enhanced real-time market intelligence ensuring enhanced information capture.” 
 

Real-time insights on the text to assist businesses in learning important information about the attitudes, preferences, and feedback of their customers. This information can be used to enhance goods and services and boost client satisfaction and support decisions in a variety of fields, including finance, healthcare, and law. Vendors can focus on providing fraud detection that could predict where and when crimes could occur and thereby prevent them from happening by identifying the pattern of the data and developing additional document security, increasing the processing speed of the highly congested route, and offering them all in real time. Lastly spam filtering by analyzing the context of the document coming from emails to determine if the document is spam and saving the machines from threats. This can be achieved by integrating the solution with advanced AI algorithms which are transfer learnable.  
 

Key questions this study will answer:  

• What is the current state of competition in the Text Analytics market?  

• What is the market share held by major vendors in this market?  

• What are the key competitive dynamics in the global and regional markets for ABM?  

• Who are the leading vendors in the global and regional markets?  

• Are there vendors specializing in specific industries?  

• How do different vendors compare in terms of their offerings of cloud-based versus on-premises solutions?  

• What competitive factors impact the market positioning of different vendors?  

• What are the relative strengths and challenges of the vendors operating in this market?  

• How do different vendors position themselves competitively across customer segments, from SMBs to large enterprises?  

Vendors covered in this Study:  

Amazon Web Services, Bitext, EdgeVerve Systems, Elastic, EPAM, Expert.ai, Google, Hyperscience, IBM, Indico Data, InMoment, Kingland, Luminoso, Medallia, Megaputer, Microsoft, Qualtrics, RavenPack, SAS, Stratifyd, Verint, and WorkFusion. 

Table of Content:  

Chapter 01: Executive Summary  

• Key Research Findings  

• Top Predictions  

• Top Trends  

• Market Summary  

Chapter 02: Market Overview  

• Market Definition and Scope  

• Key Factors Impacting the Market   

• Drivers & Restraints  

Chapter 03: Market Analysis  

• Global ABM Market Share Analysis  

Chapter 04: Market Share Analysis  

• Market Share by Region  

• Market Share Worldwide  

• Market Share USA  

• Market Share Canada   

• Market Share Latin America  

• Market Share Western Europe  

• Market Share Central & Eastern Europe  

• Market Share Middle East & Africa8  

• Market Share China  

• Market Share APAC Ex Japan & China  

• Market Share Japan  

  

• Market Share by Industry Verticals  

• Market Share by Media & Entertainment  

• Market Share by Retail  

• Market Share by BFSI  

• Market Share by Travel & Hospitality  

• Market Share by Education  

• Market Share by Public Sector  

• Market Share by Healthcare & Life Science  

• Market Share by Automotive  

• Market Share by Food & Beverage  

  

• Market Share by Deployment Type  

• Market Share by Deployment Type: On prem   

• Market Share by Deployment Type: Cloud   

  

• Market Share by Customer Type   

• Market Share by SMB   

• Market Share by Large   

• Market Share by Enterprise   

Chapter 05: Company Profile  

• Company Overview   

• Analyst Perspectives and Analysis  

Chapter 06: Appendix  

• Research Methodologies  
   

List of Figures   

• Fig. 1 Market Share of Text Analytics Worldwide, 2025  

• Fig. 2 Market Share of Text Analytics USA, 2025  

• Fig. 3 Market Share of Text Analytics Canada, 2025  

• Fig. 4 Market Share of Text Analytics Latin America, 2025  

• Fig. 5 Market Share of Text Analytics Western Europe, 2025  

• Fig. 6 Market Share of Text Analytics Central & Eastern Europe, 2025  

• Fig. 7 Market Share of Text Analytics Middle East & Africa, 2025  

• Fig. 8 Market Share of Text Analytics Asia excluding Japan and China, 2025  

• Fig. 9 Market Share of Text Analytics Japan, 2025  

• Fig. 10 Market Share of Text Analytics China, 2025  

• Fig. 11 Market Share of Text Analytics IT & Telecom Industry, 2025  

• Fig. 12 Market Share of Text Analytics Banking & Financial Services Industry, 2025  

• Fig. 13 Market Share of Text Analytics Insurance Industry, 2025  

• Fig. 14 Market Share of Text Analytics Healthcare Industry, 2025  

• Fig. 15 Market Share of Text Analytics Government & Public Sector, 2025  

• Fig. 16 Market Share of Text Analytics Retail & eCommerce, 2025  

• Fig. 17 Market Share of Text Analytics Manufacturing, 2025  

• Fig. 18 Market Share of Text Analytics Hospitality, 2025  

• Fig. 19 Market Share of Text Analytics On-premises Deployment, 2025  

• Fig. 20 Market Share of Text Analytics Cloud Deployment, 2025  

• Fig. 21 Market Share of Text Analytics SMB Customers, 2025  

• Fig. 22 Market Share of Text Analytics Large Customers, 2025  

• Fig. 23 Market Share of Text Analytics Enterprise Customers, 2025  

Custom Research Service  

  Our custom research service is designed to meet the client’s specific requirements by providing a customized in-depth analysis of the technology market to meet your strategic needs. Further, our custom research and consulting services deliverable is uniquely effective, powerful, innovative, and realistic for helping companies successfully address business challenges. Our team of experienced consultants can help you in achieving short-term and long-term business goals in the following ways:  

• Detailed understanding of the industry structure, market participants, and value chain mapping  
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• Go to market strategies.