Text Analytics Market - Global Forecast 2025-2032

The text analytics market is experiencing substantial transformation, as organizations harness advanced solutions to turn unstructured textual data into actionable insights. This report presents an in-depth, executive-level analysis designed to support senior leaders in making informed, strategic decisions in an increasingly data-driven landscape.

Text Analytics Market Snapshot

The Text Analytics Market grew from USD 8.41 billion in 2024 to USD 10.07 billion in 2025. The sector is expected to expand at a compound annual growth rate (CAGR) of 19.76%, reaching USD 35.63 billion by 2032. This strong trajectory reflects escalating demand across industries, fueled by the shift toward digital channels, surging data volumes, and the need for rapid, evidence-based decision-making. Enterprise investments are rising as market leaders integrate robust text analytics tools to enhance operational efficiency, risk management, and customer engagement.

Scope & Segmentation

• Technology: Entity recognition, entity linking, named entity recognition, relationship extraction, semantic analysis, sentiment analysis, text classification, topic modeling
• Application: Compliance monitoring, customer experience management, document management, risk management, social media monitoring
• Deployment Mode: Cloud (public, private, hybrid), on premise
• Offering: Services, software
• End Use Industry: Banking, financial services, insurance, government, defense, healthcare, IT, telecom, retail
• Organization Size: Large enterprises, small and medium enterprises
• Region: Americas (United States, Canada, Mexico, Brazil, Argentina, Chile, Colombia, Peru), EMEA (United Kingdom, Germany, France, Russia, Italy, Spain, Netherlands, Sweden, Poland, Switzerland, UAE, Saudi Arabia, Qatar, Turkey, Israel, South Africa, Nigeria, Egypt, Kenya), Asia-Pacific (China, India, Japan, Australia, South Korea, Indonesia, Thailand, Malaysia, Singapore, Taiwan)
• Leading Companies: Microsoft Corporation, International Business Machines Corporation, Google LLC, Amazon.com, Inc., SAS Institute Inc., Oracle Corporation, SAP SE, OpenText Corporation, Lexalytics, Inc., Expert System S.p.A.

Key Takeaways for Senior Decision-Makers

• Progress in machine learning and natural language processing is driving adoption, as text analytics shifts from tactical solutions to essential enterprise strategies.
• Integrations with AI initiatives are deepening, making semantic analysis and contextual data interpretation central to modern organizational workflows.
• Enterprises gain agility and compliance with deployment options ranging from cloud to on-premise, accommodating both scaling needs and regulatory constraints.
• Segment innovation includes multilingual analysis and taxonomy development, crucial for extracting value from diverse data streams across regions and languages.
• Adoption trends vary by industry and organization scale, with large enterprises piloting advanced features and SMEs seeking rapid, turnkey implementations.

Tariff Impact on the Text Analytics Market

Recent United States tariffs introduced in 2025 have shifted the competitive and operational landscape for text analytics vendors and buyers. Increased costs for imported technology components have led some providers to pursue domestic manufacturing alliances and regional data center investments. Procurement strategies are adapting, as organizations explore new licensing models to balance analytics capabilities with heightened budget vigilance. These adjustments have prompted fresh innovation, with vendors exploring modular architectures and open-source tools to maintain flexibility amid evolving cost structures.

Methodology & Data Sources

This report combines primary research—including interviews with industry executives and structured surveys of decision-makers—with secondary analysis of market publications, white papers, and proprietary databases. Rigorous data triangulation and expert review underpin the credibility and relevance of the insights, ensuring an unbiased and up-to-date perspective for stakeholders.

Why This Report Matters for the Text Analytics Market

• Gain an executive-oriented review of technology and deployment trends shaping strategic investments in text analytics.
• Understand how regulatory, regional, and technology dynamics create distinct pathways for growth and risk management.
• Identify actionable recommendations to optimize procurement, accelerate adoption, and achieve sustainable competitive advantages.

Conclusion

Text analytics is rapidly redefining enterprise intelligence and operational agility. Leaders who align investments with industry trends and emerging risks are positioned to extract the highest value from unstructured data and realize lasting business impact.