The global text analytics market is expected to grow at a CAGR of 17.71% from 2025 to 2032. It will rise from USD 10.38 billion in 2024 to USD 11.98 billion in 2025, based on Kings Research's latest analysis. Businesses need text analytics to handle large amounts of unstructured text from emails, documents, social media, and customer reviews. This helps improve decision-making, increase compliance, and boost consumer engagement.
The technology uses statistical analysis, machine learning, and natural language processing (NLP). It finds patterns, identifies sentiment, and extracts key information. Text analytics platform implementation is becoming more common in marketing optimization, fraud detection, and regulatory compliance as a result of businesses, including BFSI, retail, healthcare, and telecom, that depend on real-time information.
Trending Now: OpenAI Acquired Statsig for Analytics Boost
In September 2025, OpenAI announced it will buy Statsig for over USD 1.1 billion. Statsig is known for A/B testing and user behavior insights. Analytics are becoming essential for enhancing user experiences and simplifying digital platforms. OpenAI plans to boost its text analytics by using Statsig's expertise in measuring features and running experiments. This will help in understanding user feedback, sentiment, and engagement trends better. This acquisition should speed up industry adoption and boost innovation in the analytics ecosystem.
Unstructured Data Across Digital Channels Fueling Market Growth
The rise of unstructured data across digital channels is one of the primary drivers of the text analytics market's expansion. Massive volumes of text from emails, chat logs, customer evaluations, online content, and social media posts are being handled by organizations. Text analytics solutions are in high demand since traditional technologies are unable to handle this data.
Companies are spending money on systems driven by AI and NLP in order to extract insights from this unstructured data in real time. Businesses can enhance customer satisfaction, streamline operations, and guarantee compliance by converting unstructured text into structured intelligence. The market is expanding due to the demand for prompt decision-making and contextual awareness.
Large Enterprises to Lead Adoption as Data Volumes Grow
In 2024, large enterprises accounted for 68.00% of the market; by 2032, they will have grown to USD 23.20 billion. They require sophisticated text analytics for compliance, risk management, and consumer engagement since they produce vast volumes of unstructured data through many channels.
Cloud-based text analytics is also being used by small and medium-sized businesses (SMEs) because of its affordability, scalability, and simplicity of interaction with current business systems.
Cloud Deployment for Scalability and Cost to Aid Market Expansion
With USD 6.44 billion in revenue in 2024, cloud-based text analytics dominated the market and is expected to continue to rise. Because of its real-time processing capabilities, ease of deployment, and lower initial expenses than on-premise alternatives, businesses are shifting to the cloud.
To keep up with global demand, Microsoft, IBM, and SAP are improving their cloud-native platforms with automation, multilingual natural language processing, and integration with enterprise business analytics tools.
North America to Lead with Digital Transformation
At USD 3.84 billion (37.00% market share), North America accounted for the largest share of the global text analytics market in 2024. The BFSI, healthcare, and retail sectors are the main drivers of the region's use of AI and cloud-based analytics.
Accuity Healthcare enhanced clinical documentation and coding accuracy in July 2023 by using Microsoft's Text Analytics in its in-house products. This indicates the region's shift to employing NLP to enhance data quality, operational effectiveness, and compliance in the healthcare industry. Organizations are being pushed to implement advanced analytics with transparent data handling and consent-based procedures by strict legal frameworks such as the CCPA in California and the GDPR in Europe.
Asia Pacific to Grow Fastest Due to Digitalization
Asia Pacific to grow at 21.73% CAGR during the forecast period, driven by digitalization, increasing internet penetration, and e-commerce and financial services. Government-backed initiatives and investments in AI-driven analytics in China, India, and Japan are encouraging companies to deploy multilingual and real-time text analytics tools. Growing demand for automation in customer service and compliance monitoring will further accelerate adoption.
Market Competitive Landscape
Technology leaders and newly formed firms are concentrating on AI, natural language processing, and multilingual processing in an effort to increase their market share in the fiercely competitive global text analytics market. An AI-based Conversational Intelligence platform, for instance, was introduced by InMoment in 2025 and analyzes contact center interactions using generative AI, natural language processing, and big language models. The software offers sentiment and intent analysis at the speaker level to enhance customer satisfaction and first call resolution. This is the competitive drive for text analytics that are more conversation-focused, real-time, and detailed.
Key players in text analytics market:
- IBM
- Microsoft
- SAP SE
- Lexalytics (an InMoment Company)
- Qualtrics
- Open Text Corporation
- Luminoso Technologies, Inc.
- SAS Institute Inc.
- Infegy, Inc.
- Medallia Inc.
- Megaputer Intelligence Inc.
- Oracle
- Cloud Software Group, Inc.
- Bitext Innovations Inc.
- BasisTech