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Major Growth Driver Identified in 2025 Text Mining Market: Digitization Trends Fuels Growth In The Text Mining Market Expansion
Use code ONLINE30 to get 30% off on global market reports and stay ahead of tariff changes, macro trends, and global economic shiftsText Mining Market Size Valuation Forecast: What Will the Market Be Worth by 2025?
The market size for text mining has seen rapid expansion in the last few years. The forecast for the market shows an increase from $7.05 billion in 2024 to $8.51 billion in 2025, with a compound annual growth rate (CAGR) of 20.7%. The uptick in growth during the historic period can be linked to the rising need for data-centric decision making across various industries, advancements in machine learning algorithms, seamless integration of text mining with CRM systems, regulatory necessities, the rise of sentiment analysis, and the adoption of text mining for fraud prevention and risk management.
Text Mining Market Size Forecast: What's the Projected Valuation by 2029?
In the coming years, the text mining market is predicted to experience remarkable growth, reaching $17.82 billion by 2029, with a compound annual growth rate (CAGR) of 20.3%. This evolution during the predicted period is due to the surge in demand for effective data collection and evaluation from miscellaneous text sources, industry expansion, the fusion of text mining with other data analytical instruments for thorough perceptions, advocacy on customer experience management and customization, heightened cognizance among corporations, and the progression of big data analytics. Important trends during the prediction period comprise text categorization, subject modeling, context comprehension, multilingual text mining, and the progression in profound learning.
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What Are the Drivers Transforming the Text Mining Market?
The text mining market's progression is projected to be spurred by the increasing prevalence of digitization. This refers to the transition of analog information into a digital format, generally represented as binary numbers for storage and processing in computers or other digital equipment. The consistent rise in digitization, driven by its capacity to simplify procedures, improve connectivity, and provide efficient access to information across various industries, plays a critical part. Digitization enhances text mining efficacy by transmuting analog data into formats readable by machines, enabling sophisticated analysis and extraction of meaningful insights from text-based content. For instance, as reported by the Central Digital and Data Office in the U.K. in November 2023, there was a significant 19% growth in the government's digital and data profession between April 2022 and April 2023, thereby fulfilling essential digital skill demands. This underlines that the escalating pattern of digitization is catalyzing the expansion of the text mining market.
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What Long-Term Trends Will Define the Future of the Text Mining Market?
Focus on advanced solution development such as superior natural language processing has been emphasized by leading companies in the text mining market to establish a competitive advantage. This refined natural language processing is crucial for text mining as it significantly improves the ability to analyze textual data accurately, efficiently, and in a nuanced manner. In an illustration, ONTOFORCE NV, a data science firm based in Belgium, introduced an enhanced Natural Language Processing (NLP) ability in May 2023. This ability aids in extracting vital insights from unstructured data sources in life sciences, correlating with the growing significance of NLP in the sector, where approximately 80% of data is in unstructured formats, making it difficult to retrieve and analyze.
Which Segments in the Text Mining Market Offer the Most Profit Potential?
The text mining market covered in this report is segmented -
1) By Product: On-premise, Cloud-based
2) By Application: Data Analysis And Forecasting, Fraud Or Spam Detection, Intelligence And Law Enforcement, Customer Relationship Management (CRM), Text Mining For Natural Language Processing (NLP), Text Mining For Sentiment Analysis
3) By End-Use: Healthcare, Retail, Banking, Financial Services And Insurance (BFSI), Government, Media And Entertainment, Other End Users
Subsegments:
1) By On-Premise: Local Deployment, Customization Options, Data Security And Privacy Control
2) By Cloud-Based: Scalable Infrastructure, Remote Access And Collaboration, Integration With Cloud Applications
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Which Firms Dominate the Text Mining Market by Market Share and Revenue in 2025?
Major companies operating in the text mining market are Microsoft Corporation, International Business Machines Corporation, SAP SE, Capgemini SE, SAS Institute, Confirmit, Basis Technology, Kingland Systems LLC, KNIME, Altair Engineering Inc., RapidMiner, Bitext, Mozenda, InMoment, Semantic Web Company GmbH, Wonderflow, PrediCX, NextWealth Entrepreneurs Private Limited, Angoss Software Corporation, Averbis GmbH, Netowl Inc., MeaningCloud, DeepOpinion, Funnel Science, SmatSocial
Which Regions Offer the Highest Growth Potential in the Text Mining Market?
North America was the largest region in the text mining market in 2024. Asia Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the text mining market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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