세계의 텍스트 마이닝 시장 보고서(2025년)
Text Mining Global Market Report 2025
상품코드 : 1790942
리서치사 : The Business Research Company
발행일 : On Demand Report
페이지 정보 : 영문 250 Pages
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한글목차

텍스트 마이닝 시장 규모는 향후 몇 년 동안 급성장할 것으로 예측됩니다. 2029년 연평균 성장률(CAGR)은 18.7%로 168억 1,000만 달러에 달할 것으로 예측됩니다. 예측 기간의 성장은 비정형 텍스트 소스로부터의 효율적인 데이터 추출 및 분석에 대한 수요 증가, 산업 확장, 종합적인 인사이트를 위한 다른 데이터 분석 도구와의 텍스트 마이닝 통합, 고객 경험 관리 및 개인화에 대한 관심 증가, 기업 내 빅데이터 분석에 대한 인식 증가, 빅데이터 분석의 성장에 기인합니다. 빅데이터 분석의 성장에 기인한다고 볼 수 있습니다. 예측 기간의 주요 동향으로는 텍스트 분류, 토픽 모델링, 문맥 이해, 다국어 텍스트 마이닝, 딥러닝의 발전 등을 꼽을 수 있습니다.

향후 5년간 18.7%의 성장률 전망은 지난번 예측보다 0.8% 소폭 하락한 수치입니다. 이 감소는 주로 미국과 다른 국가 간의 관세의 영향에 기인합니다. 이스라엘과 영국의 특수 소프트웨어에 대한 관세가 자동 텍스트 처리에 의존하는 기업의 비용을 증가시키기 때문에 인공지능(AI)과 데이터 분석 능력의 저하를 통해 미국에 직접적으로 영향을 미칠 가능성이 높습니다. 또한, 상호 관세와 무역 긴장과 제한 증가로 인한 세계 경제와 무역에 대한 악영향으로 인해 그 영향은 더욱 광범위하게 나타날 것으로 보입니다.

디지털화의 진전은 가까운 미래에 텍스트 마이닝 시장의 성장을 가속하는 중요한 요인이 될 것으로 보입니다. 아날로그 정보를 디지털 형식으로 변환하는 것을 특징으로 하는 디지털화는 프로세스를 간소화하고, 연결성을 높이며, 다양한 분야의 정보에 대한 효율적인 접근을 촉진하는 초석으로 작용합니다. 확대되는 디지털화 추세는 아날로그 데이터를 기계가 읽을 수 있는 형태로 변환하여 텍스트 컨텐츠에서 고도의 분석과 귀중한 인사이트를 추출하고 효율적인 텍스트 마이닝 시도를 가능하게 하는 데 매우 중요한 역할을 하고 있습니다. 예를 들어, 2023년 11월 중앙 디지털 데이터 사무실에서 발표한 인사이트에 따르면, 2022년 4월부터 2023년 4월까지 정부의 디지털 데이터 전문 인력이 19% 증가하여 디지털 전문 지식에 대한 중요한 수요에 효과적으로 대응하고 있다고 합니다. 이는 텍스트 마이닝 시장의 성장 궤도를 추진하는 데 있어 디지털화가 매우 중요한 역할을 하고 있음을 입증합니다.

목차

제1장 주요 요약

제2장 시장 특징

제3장 시장 동향과 전략

제4장 시장 : 금리, 인플레이션, 지정학, 무역 전쟁과 관세, 그리고 코로나와 회복이 시장에 미치는 영향을 포함한 거시경제 시나리오

제5장 세계의 성장 분석과 전략 분석 프레임워크

제6장 시장 세분화

제7장 지역별·국가별 분석

제8장 아시아태평양 시장

제9장 중국 시장

제10장 인도 시장

제11장 일본 시장

제12장 호주 시장

제13장 인도네시아 시장

제14장 한국 시장

제15장 서유럽 시장

제16장 영국 시장

제17장 독일 시장

제18장 프랑스 시장

제19장 이탈리아 시장

제20장 스페인 시장

제21장 동유럽 시장

제22장 러시아 시장

제23장 북미 시장

제24장 미국 시장

제25장 캐나다 시장

제26장 남미 시장

제27장 브라질 시장

제28장 중동 시장

제29장 아프리카 시장

제30장 경쟁 구도와 기업 개요

제31장 기타 주요 기업과 혁신적 기업

제32장 세계의 시장 경쟁 벤치마킹과 대시보드

제33장 주요 인수합병

제34장 최근의 시장 동향

제35장 시장 잠재력이 높은 국가, 부문, 전략

제36장 부록

KSM
영문 목차

영문목차

Text mining refers to the systematic process of extracting valuable insights and information from unstructured text data. This involves utilizing techniques such as natural language processing (NLP), machine learning, and statistical analysis to uncover patterns, trends, and relationships within extensive textual datasets. Key tasks facilitated by text mining include sentiment analysis, document categorization, and information retrieval.

The primary product types in text mining are on-premise and cloud-based solutions. On-premise text mining software is installed and operated on the organization's internal computers or servers, rather than being hosted on a remote facility or cloud service. These applications find application across various domains including data analysis and forecasting, fraud and spam detection, intelligence and law enforcement, customer relationship management (CRM), NLP-driven text mining, and sentiment analysis. End-users of text mining software span diverse sectors such as healthcare, retail, banking, financial services and insurance (BFSI), government, media and entertainment, among others.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The sharp rise in U.S. tariffs and the resulting trade tensions in spring 2025 are having a significant impact on the metals and minerals sector, disrupting supply chains for automakers, appliance manufacturers, and infrastructure projects. With reduced competition from imports, domestic mills have increased prices, yet capacity limitations hinder their ability to fully meet demand. At the same time, mining companies are facing challenges from retaliatory tariffs on key mineral exports, especially lithium and rare earth elements. In response, industry participants are ramping up investments in scrap metal recycling, seeking tariff exemptions, and forming joint ventures with international producers to ensure a more reliable supply chain.

The text mining market research report is one of a series of new reports from The Business Research Company that provides text mining market statistics, including text mining industry global market size, regional shares, competitors with a text mining market share, detailed text mining market segments, market trends and opportunities, and any further data you may need to thrive in the text mining industry. This text mining market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The text mining market size has grown exponentially in recent years. It will grow from $7.05 billion in 2024 to $8.47 billion in 2025 at a compound annual growth rate (CAGR) of 20.2%. 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 rapid growth in the next few years. It will grow to $16.81 billion in 2029 at a compound annual growth rate (CAGR) of 18.7%. 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.

The forecast of 18.7% growth over the next five years reflects a modest reduction of 0.8% from the previous estimate for this market. This reduction is primarily due to the impact of tariffs between the US and other countries. This is likely to directly affect the US through reduced Artificial Intelligence(AI) and data analytics capabilities, as tariffs on specialized software from Israel and the UK raise costs for businesses relying on automated text processing. The effect will also be felt more widely due to reciprocal tariffs and the negative effect on the global economy and trade due to increased trade tensions and restrictions.

The upward trajectory of digitization is poised to be a significant driver propelling the growth of the text mining market in the foreseeable future. Digitization, characterized by the conversion of analog information into digital format, serves as a cornerstone for streamlining processes, enhancing connectivity, and facilitating efficient access to information across various sectors. The growing digitization trend plays a pivotal role in enabling efficient text mining endeavors by transforming analog data into machine-readable formats, thereby empowering advanced analysis and extraction of valuable insights from textual content. For instance, insights from the Central Digital and Data Office in November 2023 highlight a notable 19% expansion within the government's digital and data profession between April 2022 and April 2023, effectively meeting crucial demands for digital expertise. This underscores the pivotal role of digitization in propelling the growth trajectory of the text mining market.

Key players within the text mining market landscape are strategically focused on developing advanced solutions, notably advanced natural language processing (NLP), to gain a competitive edge in the market. Advanced NLP holds significant utility in text mining endeavors as it enhances text mining capabilities by enabling more accurate, efficient, and nuanced analysis of textual data. For instance, ONTOFORCE NV, a leading data science company based in Belgium, launched advanced Natural Language Processing (NLP) capabilities in May 2023 to unlock valuable insights from unstructured data sources in life sciences. This strategic initiative aligns with the increasing significance of NLP within the industry, where up to 80% of data is stored in unstructured formats, posing challenges for access and analysis. By leveraging advanced NLP capabilities, organizations can extract meaningful insights from unstructured textual data, thereby enhancing decision-making processes and driving innovation across diverse domains.

In December 2022, Babel Street Inc., a US-based provider of virtual data and intelligence solutions, acquired the text analytics platform Rosette from BasisTech LLC for an undisclosed sum. This strategic acquisition underscores Babel Street's dedication to delivering innovative solutions for identity intelligence and risk operations, tailored to the requirements of government and commercial institutions. BasisTech LLC, a US-based software development company, offers text mining capabilities as part of its text analytics platform.

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

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.

The countries covered in the text mining market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The text mining market includes revenues earned by entities by providing services such as named entity recognition (NER), topic modeling, entity recognition, document summarization, and sentiment analysis. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Text Mining Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on text mining market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

Reasons to Purchase

Where is the largest and fastest growing market for text mining ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The text mining market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.

Scope

Table of Contents

1. Executive Summary

2. Text Mining Market Characteristics

3. Text Mining Market Trends And Strategies

4. Text Mining Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, And Covid And Recovery On The Market

5. Global Text Mining Growth Analysis And Strategic Analysis Framework

6. Text Mining Market Segmentation

7. Text Mining Market Regional And Country Analysis

8. Asia-Pacific Text Mining Market

9. China Text Mining Market

10. India Text Mining Market

11. Japan Text Mining Market

12. Australia Text Mining Market

13. Indonesia Text Mining Market

14. South Korea Text Mining Market

15. Western Europe Text Mining Market

16. UK Text Mining Market

17. Germany Text Mining Market

18. France Text Mining Market

19. Italy Text Mining Market

20. Spain Text Mining Market

21. Eastern Europe Text Mining Market

22. Russia Text Mining Market

23. North America Text Mining Market

24. USA Text Mining Market

25. Canada Text Mining Market

26. South America Text Mining Market

27. Brazil Text Mining Market

28. Middle East Text Mining Market

29. Africa Text Mining Market

30. Text Mining Market Competitive Landscape And Company Profiles

31. Text Mining Market Other Major And Innovative Companies

32. Global Text Mining Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Text Mining Market

34. Recent Developments In The Text Mining Market

35. Text Mining Market High Potential Countries, Segments and Strategies

36. Appendix

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