Text analytics software identifies and extracts real-time information from data, such as patterns, keywords, and other attributes. Natural language processing (NLP), machine learning (ML), deep learning technologies, and statistical and linguistic techniques are often used by the platform, allowing data leaders to derive insights from unmodeled content that was previously reserved for data professionals. As enterprises are transforming into digital businesses, text analytics platforms are extensively used across multiple domains and industries.
Quadrant Knowledge Solutions’ text analytics platforms market research includes a detailed analysis of the global market regarding short-term and long-term growth opportunities, emerging technology trends, market trends, and future market outlook. The study provides a comprehensive market forecast analysis of the global market and the overall market adoption rate as well. This research provides strategic information for technology vendors to better understand the existing market and support their growth strategies, and for users to evaluate different vendors’ capabilities, competitive differentiation, and market position.
The research includes detailed competition analysis and vendor evaluation with the proprietary SPARK Matrix analysis. The SPARK Matrix includes ranking and positioning of the leading text analytics platforms vendors with a global impact including – AWS, Amenity Analytics, AntWorks, Bitext, Cortical.io, EPAM, Expert.ai, Google, IBM, Indico Data, Kingland, Lexalytics, Luminoso, MeaningCloud, Megaputer, Micro Focus, Microsoft, OpenText, Qualtrics, RavenPack, and SAS.
According to Manish Chand Thakur, Analyst at Quadrant Knowledge Solutions, “The leading text analytics platform vendors are increasingly adding features like knowledge graphs, integration with speech to text (STT) technology, support tasks across multiple languages, and others. It can also cater to a wide range of industry-specific use cases that help organizations streamline their operational processes and customer-centric workflows. Text analytics platforms are hence gaining traction across different industry verticals, such as banking and financial services, government and public sectors, and healthcare. A growing number of companies are using these platforms for emerging use cases, including AI development and ML model training for better insights and decision making.”
2022 Text Analytics Platforms
Source : Quadrant Knowledge Solutions
Table of Contents
Executive Overview
- Key Research Findings
Market Overview and Technology Trends
Factors Influencing Technology Development and Market Growth
Market Adoption Trends
Competition Landscape and Analysis
- Competitive Overview and Analysis
- Key Competitive Factors and Technology Differentiators
SPARK Matrix™: Text Analytics Platforms
Vendor Profiles
Research Methodologies
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