The text mining global market report 2024 from The Business Research Company provides comprehensive market statistics, including global market size, regional shares, competitor market share, detailed segments, trends, and opportunities. This report offers an in-depth analysis of current and future industry scenarios, delivering a complete perspective for thriving in the industrial automation software market.
Text Mining Market, 2024 report by The Business Research Company offers comprehensive insights into the current state of the market and highlights future growth opportunities.
Market Size –
The text mining market size has grown exponentially in recent years. It will grow from $5.86 billion in 2023 to $7.05 billion in 2024 at a compound annual growth rate (CAGR) of 20.3%. The growth in the historic period can be attributed to the growing demand for data-driven decision-making across industries, the development of more sophisticated machine learning algorithms, the integration of text mining with customer relationship management (CRM) systems, regulatory requirements, the emergence of sentiment analysis, and adoption of text mining for fraud detection and risk management.
The text mining market size is expected to see exponential growth in the next few years. It will grow to $14.82 billion in 2028 at a compound annual growth rate (CAGR) of 20.4%. The growth in the forecast period can be attributed to increasing demand for efficient data extraction and analysis from unstructured text sources, expansion of industries, integration of text mining with other data analytics tools for comprehensive insights, increasing focus on customer experience management and personalization, growing awareness among enterprises, growth of big data analytics. Major trends in the forecast period include text classification, topic modeling, contextual understanding, multilingual text mining, and advancements in deep learning.
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Scope Of Text Mining Market
The Business Research Company’s reports encompass a wide range of information, including:
1. Market Size (Historic and Forecast): Analysis of the market’s historical performance and projections for future growth.
2. Drivers: Examination of the key factors propelling market growth.
3. Trends: Identification of emerging trends and patterns shaping the market landscape.
4. Key Segments: Breakdown of the market into its primary segments and their respective performance.
5. Focus Regions and Geographies: Insight into the most critical regions and geographical areas influencing the market.
6. Macro Economic Factors: Assessment of broader economic elements impacting the market.
Text Mining Market Overview
Market Drivers –
The growing trend of digitization is expected to propel the growth of the text mining market going forward. Digitization refers to converting analog information into digital format, typically involving data representation as binary numbers for storage and processing on computers or other digital devices. The growing digitization trend is fueled by its ability to streamline processes, enhance connectivity, and enable efficient access to information in various sectors. Digitization facilitates efficient text mining by converting analog data into machine-readable formats, enabling advanced analysis and extracting valuable insights from textual content. For instance, in November 2023, according to the Central Digital and Data Office, a U.K.-based government body, between April 2022 and April 2023, the government’s digital and data profession experienced a notable expansion of 19%, effectively meeting crucial demands for digital expertise. Therefore, the growing trend of digitization is driving the growth of the text mining market.
Market Trends –
Major companies operating in the text mining market are focusing on developing advanced solutions, such as advanced natural language processing, to gain a competitive edge in the market. This advanced natural language processing is useful to text mining because it enhances text mining capabilities by enabling more accurate, efficient, and nuanced analysis of textual data. For instance, in May 2023, ONTOFORCE NV, a Belgium-based data science company, launched advanced Natural Language Processing (NLP) capabilities to unlock valuable insights from unstructured data sources in life sciences. This initiative aligns with the increasing importance of NLP in the industry, where up to 80% of data is stored in unstructured formats, making it challenging to access and analyze.
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
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Regional Insights –
North America was the largest region in the text mining market in 2023. 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.
Key Companies –
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
Table of Contents
1. Executive Summary
2. Text Mining Market Report Structure
3. Text Mining Market Trends And Strategies
4. Text Mining Market – Macro Economic Scenario
5. Text Mining Market Size And Growth
…..
27. Text Mining Market Competitor Landscape And Company Profiles
28. Key Mergers And Acquisitions
29. Future Outlook and Potential Analysis
30. Appendix
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