Text Analytics Market Booms Rapidly with a 17.0% CAGR - Featuring SAP SE, International Business Machines Corporation, and SAS Institute

The Text Analytics industry is rapidly transforming how organizations extract actionable intelligence from vast textual data sources, driving enhanced decision-making and operational efficiency. With advancements in natural language processing and AI, enterprises across sectors are harnessing text analytics to decode customer sentiment, streamline compliance, and optimize product development. Increasing demand for real-time insights and the proliferation of unstructured data have positioned text analytics as a critical tool for business growth. The Global Text Analytics Market size is estimated to be valued at USD 3,031.5 million in 2025 and is expected to reach USD 13,060.4 million by 2032, exhibiting a compound annual growth rate (CAGR) of 17.0% from 2025 to 2032.

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➤Actionable Insights

● The surge in enterprise adoption of cloud-based text analytics solutions is a major driver of market revenue, with cloud deployments accounting for over 45% of total implementations in 2024. This trend supports scalable data processing and cost efficiencies, enabling businesses to capitalize on growing data volumes.
● Pricing dynamics indicate a gradual decline in per-transaction costs for text analytics services, with average prices dropping by 8% year-over-year in 2024 due to competitive innovations and automation. This trend is expanding accessibility to SMEs, broadening the overall market scope.
● Demand-side indicators reveal significant uptake in customer experience management applications, comprising nearly 38% of all text analytics use cases in 2025. Enterprises leverage sentiment analysis and feedback mining to refine service delivery, fueling market growth.
● Exports of text analytics software and services from key technology hubs increased by 22% in 2024, reflecting heightened global demand. This export growth underscores the expanding geographical market share and the integration of text analytics into varied regional ecosystems.

➤Market Segment and Regional Coverage

● By Component: Software, Services, and Others
● By Deployment Mode: On-Premises, Cloud, and Hybrid
● By Application: Customer Experience Management, Risk & Compliance Management, Healthcare, Social Media Analytics, and Others
● By Organization Size: Large Enterprises, Small and Medium Enterprises (SMEs), and Others

Regional and Country Analysis:
● North America: U.S. and Canada
● Latin America: Brazil, Argentina, Mexico, and Rest of Latin America
● Europe: Germany, U.K., Spain, France, Italy, Benelux, Denmark, Norway, Sweden, Russia, and Rest of Europe
● Asia Pacific: China, Taiwan, India, Japan, South Korea, Indonesia, Malaysia, Philippines, Singapore, Australia, and Rest of Asia Pacific
● Middle East & Africa: Bahrain, Kuwait, Oman, Qatar, Saudi Arabia, United Arab Emirates, Israel, South Africa, North Africa, Central Africa, and Rest of MEA

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➤Key Players

● SAP SE
● International Business Machines Corporation
● SAS Institute, Inc.
● Opentext Corporation
● Clarabridge, Inc.
● Bitext Innovations S.L.
● Lexalytics, Inc.
● Megaputer Intelligence, Inc.
● Luminoso Technologies, Inc.
● Knime.Com AG
● Several market players have adopted aggressive growth strategies such as strategic acquisitions and R&D investments. For instance, a leading software provider enhanced its AI capabilities through acquisition of a natural language processing startup in early 2024, resulting in a 15% increase in market share within six months. Another key player expanded its cloud infrastructure, improving solution accessibility which led to a 25% boost in subscription revenues in Q3 2024.

➤Growth factors

● The increasing reliance on AI-powered analytics to interpret unstructured data is a primary growth factor, with AI-driven text analytics adoption growing by 30% in 2024. Additionally, regulatory compliance and risk management concerns are driving demand, as industries like finance and healthcare implement text analytics for data governance, contributing to the market's robust CAGR of 17.0%.

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➤ Market Trends

● Hybrid deployment models combining on-premises and cloud solutions are gaining traction, accounting for 28% of total deployments in 2025, reflecting a shift toward flexible infrastructure strategies. Another significant trend is the integration of multilingual text analytics capabilities, enabling organizations to process diverse language data sets; this segment grew by 18% in 2024.

➤Market Opportunities

● Customer Experience Management segment: Expanding use of sentiment and voice analytics in retail and e-commerce sectors offers growth opportunities, with retail analytics revenue projected to grow by 22% CAGR through 2032.
● Cloud Deployment Mode: Increasing migration to cloud platforms presents opportunities for scalable, cost-effective text analytics solutions, especially among SMEs, whose adoption rates surged by 40% in 2024.
● Healthcare Application: Growing demand for clinical trial data analysis and patient feedback mining opens new avenues, with healthcare text analytics market revenue expected to exceed USD 1 billion by 2027.
● Asia Pacific Region: Rapid digital transformation in countries like India and China, combined with increasing internet penetration, provides a fertile ground for text analytics expansion, with regional market share anticipated to grow at a CAGR of 20% from 2025 to 2032.

❓ Frequently Asked Questions

1. Who are the dominant players in the Text Analytics market?
The market is led by major companies including SAP SE, International Business Machines Corporation, and SAS Institute, Inc., supported by innovative strategies such as AI integration and cloud expansion.

2. What will be the size of the Text Analytics market in the coming years?
The market size is projected to grow from USD 3,031.5 million in 2025 to USD 13,060.4 million by 2032, reflecting a CAGR of 17.0% during this period.

3. Which end users industry has the largest growth opportunity?
Customer Experience Management holds the largest growth opportunity, driven by increasing demand for sentiment analysis and feedback solutions in retail and service industries.

4. How will market development trends evolve over the next five years?
Trends such as hybrid deployment models and multilingual analytics are expected to dominate, enhancing flexibility and global applicability of text analytics solutions.

5. What is the nature of the competitive landscape and challenges in the Text Analytics market?
The competitive landscape is characterized by rapid innovation, with companies investing heavily in AI and cloud capabilities. Challenges include data privacy concerns and integration complexity.

6. What go-to-market strategies are commonly adopted in the Text Analytics market?
Strategies include strategic acquisitions, partnerships to expand cloud infrastructure, and focusing on industry-specific solutions to drive adoption and increase market share.
This comprehensive market report on the Text Analytics industry provides critical market insights, including detailed analysis of market size, market revenue, market share, and industry trends. It equips businesses with data-driven growth strategies essential for navigating the competitive landscape and capitalizing on emerging opportunities.

Author of this marketing PR:
Ravina Pandya, Content Writer, has a strong foothold in the market research industry. She specializes in writing well-researched articles from different industries, including food and beverages, information and technology, healthcare, chemical and materials, etc.


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