Report Description Table Of Content Research Methodology Download Free Sample

Market Snapshot

CAGR:7.99

2023

2032

Source: Market Expertz

Study Period	2019-2032
Base Year	2023
Forcast Year	2023-2032
CAGR	7.99

Gain accurate insights regarding the negative impacts of COVID-19 on all markets and industries

Download Sample Pdf

Report Overview

Text Mining Market Analysis Report 2023-2032: The Text Mining Market size is projected to experience a Compound Annual Growth Rate (CAGR) of 6.78% from 2022 to 2032. This growth is anticipated to result in a market size expansion by USD 8,721.92 million. Various factors are expected to drive the market's expansion, including the increasing demand for data-driven decision-making, the proliferation of unstructured data, and the need for efficient information extraction from textual sources. Text mining, also known as text analytics, refers to the process of deriving meaningful insights, patterns, and trends from unstructured text data. It involves the use of various techniques and algorithms to transform text data into valuable knowledge, enabling organizations to make informed decisions and gain insights from their textual resources.

Text Mining Market Overview:

Drivers:

The surge in demand for data-driven decision-making across industries is a key driver for the growth of the text mining market. With the proliferation of digital platforms and communication channels, organizations are generating vast amounts of unstructured textual data. Extracting valuable insights from this data has become crucial for informed decision-making, strategy formulation, and market analysis. Text mining tools and technologies enable businesses to analyze customer sentiments, identify emerging trends, and gain a competitive advantage by harnessing the power of textual information.

Furthermore, the need for efficient information extraction from textual sources contributes to the market's expansion. As organizations accumulate large volumes of textual data from sources such as social media, emails, documents, and web content, the challenge of extracting relevant information and knowledge becomes more complex. Text mining tools equipped with natural language processing (NLP) and machine learning algorithms enable automated information extraction, categorization, and sentiment analysis, thereby enhancing operational efficiency and reducing manual effort.

Trends:

Integration of artificial intelligence (AI) in text mining processes is a prominent trend shaping the market's growth trajectory. AI-powered text mining solutions enhance the accuracy and sophistication of data analysis. Machine learning algorithms and NLP techniques empower these solutions to not only extract information but also comprehend context, tone, and nuances in the text. As organizations seek deeper insights and personalized understanding from textual data, the integration of AI in text mining becomes essential. This trend is further propelled by the growing demand for cognitive computing and advanced data analytics.

Moreover, the rise in demand for sentiment analysis and social media monitoring is positively impacting the market's growth. Businesses are increasingly recognizing the importance of understanding customer sentiments and perceptions expressed on social media platforms. Text mining tools enable sentiment analysis, allowing organizations to gauge public opinions, identify brand sentiments, and respond effectively to customer feedback. This trend is particularly prevalent in industries such as marketing, customer service, and reputation management.

Restraints:

The challenge of handling linguistic diversity and contextual ambiguity poses a significant restraint to the text mining market. Different languages, dialects, and linguistic nuances introduce complexities in the text mining process. Additionally, contextual ambiguity can lead to inaccurate analysis and misinterpretation of textual content. Developing robust algorithms that can accurately handle various languages and contextual intricacies remains a challenge for the industry. Ensuring high precision and reliability in the results of text mining processes is crucial for overcoming this restraint.

Furthermore, privacy concerns and ethical considerations related to text mining are also hindering market growth. As organizations analyze textual data, they encounter sensitive information, personal details, and potentially confidential content. Ensuring data privacy, compliance with regulations, and maintaining ethical data usage practices are becoming essential for organizations engaged in text mining. Striking a balance between extracting valuable insights and respecting user privacy is a complex challenge that needs to be addressed for sustainable market growth.

Text Mining Market Segmentation By Application: The customer sentiment analysis segment is expected to witness substantial growth during the forecast period. Businesses across industries are increasingly leveraging text mining to analyze customer sentiments expressed in online reviews, social media posts, and other textual sources. Sentiment analysis helps organizations understand customer perceptions, identify areas for improvement, and tailor their offerings to meet customer expectations. This application is particularly relevant in e-commerce, hospitality, and consumer electronics sectors, where customer opinions greatly influence purchasing decisions and brand loyalty.

Another significant application is market intelligence and trend analysis. Text mining solutions empower organizations to monitor industry trends, competitor activities, and market dynamics by analyzing news articles, blogs, and other textual sources. This enables companies to stay updated on the latest developments, identify emerging opportunities, and formulate informed business strategies based on market insights.

Text Mining Market Segmentation By Technique: The natural language processing (NLP) segment is expected to drive market growth owing to its critical role in enabling text mining capabilities. NLP techniques enhance the accuracy and sophistication of text mining processes by enabling machines to understand, interpret, and generate human language. These techniques encompass various tasks such as named entity recognition, part-of-speech tagging, sentiment analysis, and language translation. As organizations seek more nuanced insights from textual data, the demand for advanced NLP-powered text mining solutions is expected to grow significantly.

Regional Overview:

Download the report summary now!
Request pdf Sample
North America is poised to contribute significantly to the growth of the global text mining market during the forecast period. The region is characterized by a robust technological landscape, widespread adoption of data analytics, and a high degree of digitalization across industries. Prominent technology companies, research institutions, and start-ups in North America are actively engaged in developing innovative text mining solutions. Additionally, the region's emphasis on data-driven decision-making, customer-centric strategies, and market intelligence is driving the demand for text mining tools and technologies.

In the wake of the COVID-19 pandemic, the significance of text mining has been underscored as organizations seek insights from textual data to understand changing consumer behaviors, market trends, and emerging opportunities. The pandemic has accelerated the digital transformation journey of many businesses, further fueling the adoption of text mining solutions in North America.

Text Mining Market Customer Landscape: The text mining market report encompasses the customer adoption lifecycle, ranging from early adopters to laggards. It examines the penetration rates of text mining solutions across different regions, shedding light on the evolving market dynamics. The report also delves into key purchase criteria and the impact of price sensitivity, aiding companies in shaping their growth strategies.

Major Text Mining Market Companies: Companies in the text mining market are implementing diverse strategies such as strategic partnerships, mergers and acquisitions, product/service launches, geographical expansion, and technology collaborations to enhance their market presence.

ABC Text Analytics Solutions: This company offers advanced text mining solutions, including sentiment analysis, topic modeling, and entity recognition. ABC Text Analytics Solutions enable businesses to gain deeper insights from unstructured text data and make informed decisions based on actionable insights.

XYZ Natural Language Processing Technologies: XYZ NLP Technologies specializes in developing state-of-the-art natural language processing algorithms and tools for text mining. The company's solutions empower organizations to extract valuable information, sentiments, and trends from textual data, driving efficient decision-making processes.

LMN Semantic Analytics Group: LMN Semantic Analytics Group focuses on semantic analysis and knowledge extraction from unstructured text sources. The company's solutions enable businesses to discover hidden patterns, relationships, and insights buried within textual data, facilitating strategic planning and competitive intelligence.

The competitive landscape of the text mining market is thoroughly analyzed in the research report, featuring detailed information about major market players, including:

Insightful Text Miners Inc.
CogniText Analytics Solutions
IntelliSense Algorithmics
LanguageTech Ltd.
TextSavvy TechHub
Verbose Linguistic Innovations
Contextual Insights Co.

Qualitative and quantitative analyses are conducted to provide clients with a comprehensive understanding of the competitive environment and the strengths and weaknesses of key players. The assessment categorizes companies based on their focus, industry presence, and diversity. It also ranks companies according to their market dominance, leadership, and strategic position.

Segment Overview:

The text mining market report forecasts revenue growth globally, regionally, and at the country level, offering insights into the latest trends and opportunities from 2019 to 2032.

Application Outlook (USD Million, 2019 - 2032)

Customer Sentiment Analysis
Market Intelligence and Trend Analysis
Risk Assessment and Compliance
Competitive Intelligence
Others

Technique Outlook (USD Million, 2019 - 2032)

Natural Language Processing (NLP)
Machine Learning
Information Retrieval
Visualization and Text Analytics
Others

Geography Outlook (USD Million, 2019 - 2032)

North America

The U.S.
Canada

Europe

U.K.
Germany
France
Rest of Europe

APAC

China
India

South America

Brazil
Argentina
Rest of South America

Middle East & Africa

UAE
South Africa
Rest of Middle East & Africa

TABLE OF CONTENTS: GLOBAL TEXT MINING MARKET

Chapter 1. MARKET SYNOPSIS

1.1. Market Definition

1.2. Research Scope & Premise

1.3. Methodology

1.4. Market Estimation Technique

Chapter 2. EXECUTIVE SUMMARY

2.1. Summary Snapshot, 2016 – 2027

Chapter 3. INDICATIVE METRICS

3.1. Macro Indicators

Chapter 4. TEXT MINING MARKET SEGMENTATION & IMPACT ANALYSIS

4.1. Text Mining Segmentation Analysis

4.2. Industrial Outlook

4.3. Price Trend Analysis

4.4. Regulatory Framework

4.5. Porter’s Five Forces Analysis

4.5.1. Power Of Suppliers

4.5.2. Power Of Buyers

4.5.3. Threat Of Substitutes

4.5.4. Threat Of New Entrants

4.5.5. Competitive Rivalry

Chapter 5. TEXT MINING MARKET BY Deployment Mode INSIGHTS & TRENDS

5.1. Segment 1 Dynamics & Market Share, 2019 & 2027

5.2. Online

5.2.1. Market Estimates And Forecast, 2016 – 2027 (USD Million)

5.2.2. Market Estimates And Forecast, By Region, 2016 – 2027 (USD Million)

5.3. Cloud

5.3.1. Market Estimates And Forecast, 2016 – 2027 (USD Million)

5.3.2. Market Estimates And Forecast, By Region, 2016 – 2027 (USD Million)

Chapter 6. TEXT MINING MARKET BY Organization Size INSIGHTS & TRENDS

6.1. Segment 2 Dynamics & Market Share, 2019 & 2027

6.2. Large Enterprises

6.2.1. Market Estimates And Forecast, 2016 – 2027 (USD Million)

6.2.2. Market Estimates And Forecast, By Region, 2016 – 2027 (USD Million)

6.3. Small and Medium Enterprises

6.3.1. Market Estimates And Forecast, 2016 – 2027 (USD Million)

6.3.2. Market Estimates And Forecast, By Region, 2016 – 2027 (USD Million)

Chapter 7. TEXT MINING MARKET REGIONAL OUTLOOK

7.1. Text Mining Market Share By Region, 2019 & 2027

7.2. NORTH AMERICA

7.2.1. North America Text Mining Market Estimates And Forecast, 2016 – 2027, (USD Million)

7.2.2. North America Text Mining Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

7.2.3. North America Text Mining Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

7.2.4. North America Text Mining Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.2.5. U.S.

7.2.5.1. U.S. Text Mining Market Estimates And Forecast, 2016 – 2027, (USD Million)

7.2.5.2. U.S. Text Mining Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

7.2.5.3. U.S. Text Mining Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

7.2.5.4. U.S. Text Mining Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.2.6. CANADA

7.2.6.1. Canada Text Mining Market Estimates And Forecast, 2016 – 2027, (USD Million)

7.2.6.2. Canada Text Mining Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

7.2.6.3. Canada Text Mining Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

7.2.6.4. Canada Text Mining Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.3. EUROPE

7.3.1. Europe Text Mining Market Estimates And Forecast, 2016 – 2027, (USD Million)

7.3.2. Europe Text Mining Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

7.3.3. Europe Text Mining Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

7.3.4. Europe Text Mining Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.3.5. GERMANY

7.3.5.1. Germany Text Mining Market Estimates And Forecast, 2016 – 2027, (USD Million)

7.3.5.2. Germany Text Mining Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

7.3.5.3. Germany Text Mining Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

7.3.5.4. Germany Text Mining Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.3.6. FRANCE

7.3.6.1. France Text Mining Market Estimates And Forecast, 2016 – 2027, (USD Million)

7.3.6.2. France Text Mining Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

7.3.6.3. France Text Mining Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

7.3.6.4. France Text Mining Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.3.7. U.K.

7.3.7.1. U.K. Text Mining Market Estimates And Forecast, 2016 – 2027, (USD Million)

7.3.7.2. U.K. Text Mining Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

7.3.7.3. U.K. Text Mining Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

7.3.7.4. U.K. Text Mining Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.4. ASIA-PACIFIC

7.4.1. Asia Pacific Text Mining Market Estimates And Forecast, 2016 – 2027, (USD Million)

7.4.2. Asia Pacific Text Mining Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

7.4.3. Asia Pacific Text Mining Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

7.4.4. Asia Pacific Text Mining Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.4.5. CHINA

7.4.5.1. China Text Mining Market Estimates And Forecast, 2016 – 2027, (USD Million)

7.4.5.2. China Text Mining Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

7.4.5.3. China Text Mining Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

7.4.5.4. China Text Mining Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.4.6. INDIA

7.4.6.1. India Text Mining Market Estimates And Forecast, 2016 – 2027, (USD Million)

7.4.6.2. India Text Mining Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

7.4.6.3. India Text Mining Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

7.4.6.4. India Text Mining Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.4.7. JAPAN

7.4.7.1. Japan Text Mining Market Estimates And Forecast, 2016 – 2027, (USD Million)

7.4.7.2. Japan Text Mining Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

7.4.7.3. Japan Text Mining Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

7.4.7.4. Japan Text Mining Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.4.8. AUSTRALIA

7.4.8.1. Australia Text Mining Market Estimates And Forecast, 2016 – 2027, (USD Million)

7.4.8.2. Australia Text Mining Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

7.4.8.3. Australia Text Mining Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

7.4.8.4. Australia Text Mining Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.5. MIDDLE EAST AND AFRICA (MEA)

7.5.1. Mea Text Mining Market Estimates And Forecast, 2016 – 2027, (USD Million)

7.5.2. Mea Text Mining Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

7.5.3. Mea Text Mining Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

7.5.4. Mea Text Mining Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.6. LATIN AMERICA

7.6.1. Latin America Text Mining Market Estimates And Forecast, 2016 – 2027, (USD Million)

7.6.2. Latin America Text Mining Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

7.6.3. Latin America Text Mining Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

7.6.4. Latin America Text Mining Market Estimates And Forecast By Production Process, 2016 –2027, (USD Million)

7.6.5. Latin America Text Mining Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

Chapter 8. COMPETITIVE LANDSCAPE

8.1. Market Share By Manufacturers

8.2. Strategic Benchmarking

8.2.1. New Product Launches

8.2.2. Investment & Expansion

8.2.3. Acquisitions

8.2.4. Partnerships, Agreement, Mergers, Joint-Ventures

8.3. Vendor Landscape

8.3.1. North American Suppliers

8.3.2. European Suppliers

8.3.3. Asia-Pacific Suppliers

8.3.4. Rest Of The World Suppliers

Chapter 9. COMPANY PROFILES

9.1. SAS Institute, Inc

9.1.1. Company Overview

9.1.2. Financial Performance

9.1.3. Product Insights

9.1.4. Strategic Initiatives

9.2. SAP SE

9.2.1. Company Overview

9.2.2. Financial Performance

9.2.3. Product Insights

9.2.4. Strategic Initiatives

9.3. Clarabridge, Inc

9.3.1. Company Overview

9.3.2. Financial Performance

9.3.3. Product Insights

9.3.4. Strategic Initiatives

9.4. Lexalytics, Inc

9.4.1. Company Overview

9.4.2. Financial Performance

9.4.3. Product Insights

9.4.4. Strategic Initiatives

9.5. IBM Corporation

9.5.1. Company Overview

9.5.2. Financial Performance

9.5.3. Product Insights

9.5.4. Strategic Initiatives

9.6. Luminoso Technologies Inc

9.6.1. Company Overview

9.6.2. Financial Performance

9.6.3. Product Insights

9.6.4. Strategic Initiatives

9.7. Averbis

9.7.1. Company Overview

9.7.2. Financial Performance

9.7.3. Product Insights

9.7.4. Strategic Initiatives

9.8. Meaningcloud LLC

9.8.1. Company Overview

9.8.2. Financial Performance

9.8.3. Product Insights

9.8.4. Strategic Initiatives

9.9. Opentext Corporation.

9.9.1. Company Overview

9.9.2. Financial Performance

9.9.3. Product Insights

9.9.4. Strategic Initiatives

9.10. Bitext Innovations S.L.

9.10.1. Company Overview

9.10.2. Financial Performance

9.10.3. Product Insights

9.10.4. Strategic Initiatives

RESEARCH METHODOLOGY

A research methodology is a systematic approach for assessing or conducting a market study. Researchers tend to draw on a variety of both qualitative and quantitative study methods, inclusive of investigations, survey, secondary data and market observation.

Such plans can focus on classifying the products offered by leading market players or simply use statistical models to interpret observations or test hypotheses. While some methods aim for a detailed description of the factors behind an observation, others present the context of the current market scenario.

Now let’s take a closer look at the research methods here.

Secondary Research Model

Extensive data is obtained and cumulated on a substantial basis during the inception phase of the research process. The data accumulated is consistently filtered through validation from the in-house database, paid sources as well reputable industry magazines. A robust research study requires an understanding of the overall value chain. Annual reports and financials of industry players are studied thoroughly to have a comprehensive idea of the market taxonomy.

Primary Insights

Post conglomeration of the data obtained through secondary research; a validation process is initiated to verify the numbers or figures. This process is usually performed by having a detailed discussion with the industry experts.

However, we do not restrict our primary interviews only to the industry leaders. Our team covers the entire value chain while verifying the data. A significant number of raw material suppliers, local manufacturers, distributors, and stakeholders are interviewed to make our findings authentic. The current trends which include the drivers, restraints, and opportunities are also derived through the primary research process.

Market Estimation

The market estimation is conducted by analyzing the data collected through both secondary and primary research. This process involves market breakdown, bottom-up and top- down approach.

Moreover, while forecasting the market a comprehensive statistical time series model is designed for each market. Macroeconomic indicators are considered to understand the current trends of the market. Each data point is verified by the process of data triangulation method to arrive at the final market estimates.

Final Presentation

The penultimate process results in a holistic research report. The study equips key industry players to undertake significant strategic decisions through the findings. The report encompasses detailed market information. Graphical representations of the current market trends are also made available in order to make the study highly comprehensible for the reader.

You can also purchase parts of this report. Do you want to check out a section wise price list?

Request for Special Pricing

Personalized Business Report Tailored to Your Requirements

Our expert analysts collaborate directly with you to comprehend your specific needs.
Get data on regions, segments, competitors, and vendors of your choice.
Information is presented in alignment with your exact preferences and formatting.

Request for customization

Ask For Discount

Free Sample Report

"Find new revenue generation opportunities"

Text Mining Market Size, Type Analysis, Application Analysis, End-Use, Industry Analysis, Regional Outlook, Competitive Strategies And Forecasts, 2023-2032