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Home Artificial Intelligence

Text Analysis Software Market Expansion Continues, with Forecast Valuation of $11.65 Billion by 2029

October 28, 2025
in Artificial Intelligence, OpenPR, Web3
Reading Time: 7 mins read
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Text Analysis Software Market

Text Analysis Software Market

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What Is the Expected CAGR for the Text Analysis Software Market Through 2025?
The market size for text analysis software has seen a significant increase in recent years, and it is predicted to escalate from $4.84 billion in 2024 to $5.82 billion in 2025, representing a compound annual growth rate (CAGR) of 20.4%. The remarkable growth in the past years is due largely to its growing popularity among businesses, a surge in demand for customer-oriented solutions, the advent of big data analytics, a rise in the uptake of cloud-based solutions, and an expanding demand for intelligent text analysis software.

What’s the Projected Size of the Global Text Analysis Software Market by 2029?
In the coming years, the market size for text analysis software is anticipated to experience accelerated growth, potentially reaching $11.65 billion by 2029 with a compound annual growth rate (CAGR) of 18.9%. This surge in projected growth during the forecast period could be linked to several factors. These include a rise in the utilization of social media platforms, an increased necessity for predictive analytics, burgeoning capital income from technological investments, heightened demand for customer insights, and a growing desire for enhanced customer experiences. Key trends during this forecast period consist of technological strides, the adoption of text analysis software, the introduction of cutting-edge technology, improvements in artificial intelligence (AI) and natural language processing (NLP), as well as increased engagement on social media platforms.

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https://www.thebusinessresearchcompany.com/report/text-analysis-software-global-market-report

Top Growth Drivers in the Text Analysis Software Industry: What’s Accelerating the Market?
The surge in the use of social media platforms is predicted to fuel the expansion of the text analysis software market in the future. Social media platforms, being online services or websites, enable users to generate and share content, engage in social interactions, and communicate with others. The rising popularity of these platforms can be attributed to cultural influences, accessibility on mobile devices, consumption of information and news, and promotion of brands. Text analysis is widely applied on these platforms to derive useful data from user-generated content, enrich user experiences, and enable meaningful user-brand engagements. For instance, a report from We Are Social Ltd, a British social media creativity and analytics enterprise, stated in January 2024 that there has been a 5.6 percent growth in social media user identities over the previous year, and new 266 million users embraced social media for the first time in 2023. Hence, the increased use of social media platforms is spurring the development of the text analysis software market.

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What Trends Will Shape the Text Analysis Software Market Through 2029 and Beyond?
Major firms in the text analysis software market are creating innovative solutions like text analysis platforms to satisfy the growing business need for scalable and efficient systems to derive insights from textual data. Text analysis platforms are software solutions or systems purposely built to scrutinize and draw insights from textual data. They employ numerous methods from natural language processing (NLP), machine learning, and artificial intelligence (AI) to decipher and interpret the text’s meaning. For example, Netigate, a software company from Sweden, introduced its text analysis product in September 2022. This game-changing feature uses machine learning AI technology to comprehend text data almost like humans do. The objective of this product launch is to revolutionize how clients handle open-text feedback by offering features such as sentiment analysis, pattern recognition, and keyword grouping. Other features include, among others, topic, feature, aspect classification, semantic clustering, natural language processing, multilingual processing, tracking sentiment change over time, and extraction of multi-word expressions.

What Are the Main Segments in the Text Analysis Software Market?
The text analysis softwaremarket covered in this report is segmented –

1) By Product: Clouds-Based, On-Premise
2) By Functionality: Text Analytics, Sentiment Analysis, Predictive Analytics, Social Media Monitoring, Other Functionalities
3) By Application: Large Enterprises, Small And Medium-Sized Enterprises (SMEs)
4) By End-User: Banking, Financial Services, And Insurance (BFSI), Retail, Healthcare, Manufacturing, Other End-Users

Subsegments:
1) By Cloud-Based: Multi-User Access, Scalability And Flexibility, Integration With Other Cloud Applications
2) By On-Premise: Local Data Storage, Customization Options, Enhanced Data Security Features

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Which Top Companies are Driving Growth in the Text Analysis Software Market?
Major companies operating in the text analysis software market are Amazon.com Inc., Google LLC, Microsoft Corporation, International Business Machines Corporation (IBM Corporation), SAP SE, QSR International Inc., SAS Institute Inc., Ascribe GmbH, Expert System S.p.A., KNIME AG, RapidMiner Inc., Bitext Innovations S.L., Lexalytics Inc., AYLIEN Ltd., Luminoso Technologies Inc., Clarabridge Inc., Averbis GmbH, MonkeyLearn Inc., Sayint.AI, Provalis Research, MeaningCloud LLC, Smartlogic Holdings Limited, Megaputer Intelligence Inc., Stratifyd Inc., Angoss Software Corporation, Etuma Oy, indico data solutions Inc., Keatext Inc., NetOwl by BAE Systems

Which Regions Will Dominate the Text Analysis Software Market Through 2029?
North America was the largest region in the text analysis software market in 2024. The regions covered in the text analysis software market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

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This release was published on openPR.

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