文字分析市场 - 全球产业规模、份额、趋势、机会和预测，按分析类型、按应用、按最终用户、按地区和竞争进行细分，2020-2030 年预测

2024 年全球文本分析市场价值为 151.7 亿美元，预计到 2030 年将达到 513.7 亿美元，预测期内复合年增长率为 22.36%。

文字分析市场是指专注于从社交媒体、电子邮件、客户评论、问卷、文件和线上内容等各种来源产生的非结构化文字资料中提取有意义洞察的行业。该市场涵盖利用自然语言处理、机器学习和人工智慧技术来分析文字、检测模式、识别趋势并为组织提供可操作情报的解决方案和服务。透过将非结构化资料转换为结构化、可分析的格式，文字分析可以帮助企业改善决策、提升客户体验、监控品牌声誉、管理风险并获得竞争优势。

由于数位平台产生的资料呈指数级增长，对即时洞察的需求日益增长，以及人工智慧驱动工具在各行各业的广泛应用，市场正在快速增长。推动市场成长的关键应用包括：客户体验管理（企业透过分析回馈和情绪来改善产品和服务）；风险与合规管理（监控监管文件和通讯以确保其符合法律框架）；以及市场情报（企业透过分析竞争对手的策略和行业趋势来做出明智的决策）。此外，云端运算和软体即服务模式的普及，使各种规模的企业无需进行大量的基础设施投资即可获得可扩展且经济高效的文本分析解决方案。

企业越来越多地根据其安全需求、资料量和营运需求部署本地和云端解决方案，从而推动了整体市场的扩张。从地理上看，北美凭藉其先进的技术基础设施、早期采用的分析工具以及主要市场参与者的强大影响力占据主导地位；而亚太地区则正成为一个高增长市场，这得益于快速的数字化转型、日益增长的互联网普及率以及政府推行数据驱动战略的倡议。进阶分析与人工智慧、机器学习和预测模型的结合，预计将进一步推动市场发展，使企业不仅能够了解历史和当前趋势，还能预测未来结果。

关键市场驱动因素

非结构化资料量爆炸性成长

主要市场挑战

资料隐私和安全问题

主要市场挑战

资料隐私和安全问题

目录

第 1 章：产品概述

第二章：研究方法

第三章：执行摘要

第四章：顾客之声

第五章：全球文本分析市场展望

• 市场规模和预测
  • 按价值
• 市场占有率和预测
  • 依分析类型（情绪分析、实体辨识、关键字/概念撷取、文字分类、预测分析）
  • 按应用（客户体验管理、风险与合规管理、人力资源管理、市场情报、其他）
  • 按最终用户（银行、金融服务和保险、零售和电子商务、医​​疗保健和生命科学、资讯技术和电信、製造业、政府和公共部门、其他）
  • 按地区（北美、欧洲、南美、中东和非洲、亚太地区）
• 按公司分类（2024 年）
• 市场地图

第六章：北美文本分析市场展望

• 市场规模和预测
• 市场占有率和预测
• 北美：国家分析
  • 美国
  • 加拿大
  • 墨西哥

第七章：欧洲文本分析市场展望

• 市场规模和预测
• 市场占有率和预测
• 欧洲：国家分析
  • 德国
  • 法国
  • 英国
  • 义大利
  • 西班牙

第八章：亚太文本分析市场展望

• 市场规模和预测
• 市场占有率和预测
• 亚太地区：国家分析
  • 中国
  • 印度
  • 日本
  • 韩国
  • 澳洲

第九章：中东与非洲文本分析市场展望

• 市场规模和预测
• 市场占有率和预测
• 中东和非洲：国家分析
  • 沙乌地阿拉伯
  • 阿联酋
  • 南非

第 10 章：南美洲文本分析市场展望

• 市场规模和预测
• 市场占有率和预测
• 南美洲：国家分析
  • 巴西
  • 哥伦比亚
  • 阿根廷

第 11 章：市场动态

• 驱动程式
• 挑战

第 12 章：市场趋势与发展

• 合併与收购（如有）
• 产品发布（如有）
• 最新动态

第十三章：公司简介

• IBM Corporation
• Microsoft Corporation
• SAS Institute Inc.
• SAP SE
• Oracle Corporation
• Lexalytics, Inc.
• Clarabridge, Inc.
• Amazon Web Services, Inc.
• Google LLC
• Adobe Systems Incorporated

第 14 章：策略建议

第15章调查会社について・免责事项

The Global Text Analytics Market was valued at USD 15.17 billion in 2024 and is expected to reach USD 51.37 billion by 2030 with a CAGR of 22.36% during the forecast period.

The Text Analytics Market refers to the industry focused on extracting meaningful insights from unstructured textual data generated across various sources such as social media, emails, customer reviews, surveys, documents, and online content. This market encompasses solutions and services that leverage natural language processing, machine learning, and artificial intelligence technologies to analyze text, detect patterns, identify trends, and provide actionable intelligence to organizations. By converting unstructured data into structured, analyzable formats, text analytics enables businesses to improve decision-making, enhance customer experiences, monitor brand reputation, manage risks, and gain competitive advantage.

The market is rising rapidly due to the exponential growth of data generated from digital platforms, the increasing need for real-time insights, and the expanding adoption of artificial intelligence-driven tools across multiple industries. Key applications driving market growth include customer experience management, where organizations analyze feedback and sentiment to refine products and services; risk and compliance management, where regulatory documents and communications are monitored for adherence to legal frameworks; and market intelligence, where companies analyze competitor strategies and industry trends to make informed decisions. Additionally, the proliferation of cloud computing and software-as-a-service models is enabling businesses of all sizes to access scalable, cost-effective text analytics solutions without significant infrastructure investment.

Enterprises are increasingly deploying both on-premise and cloud-based solutions depending on their security requirements, data volume, and operational needs, contributing to overall market expansion. Geographically, North America dominates due to advanced technological infrastructure, early adoption of analytics tools, and strong presence of key market players, while the Asia Pacific region is emerging as a high-growth market driven by rapid digital transformation, increasing internet penetration, and government initiatives promoting data-driven strategies. The integration of advanced analytics with artificial intelligence, machine learning, and predictive modeling is expected to further propel the market by enabling organizations to not only understand historical and current trends but also forecast future outcomes.

Key Market Drivers

Explosive Growth in Unstructured Data Volume

In the rapidly evolving landscape of the Text Analytics Market, the explosive growth in unstructured data volume stands as a paramount driver, compelling enterprises to adopt advanced analytical solutions to harness insights from vast repositories of textual information. Unstructured data, encompassing emails, social media posts, customer reviews, documents, and multimedia content, is proliferating at an unprecedented rate due to digital transformation initiatives across industries. Businesses are increasingly recognizing that traditional data management techniques fall short in processing this deluge, leading to the imperative integration of text analytics tools that employ natural language processing and machine learning algorithms to extract actionable intelligence.

This driver is particularly salient in sectors like healthcare, where patient notes and medical literature require sophisticated analysis for improved diagnostics and personalized care, or in retail, where consumer feedback informs product development and marketing strategies. The Text Analytics Market benefits from this trend as organizations seek to convert raw, chaotic data into structured formats that facilitate decision-making, risk assessment, and operational efficiency. Moreover, the integration of cloud computing platforms amplifies this growth by providing scalable storage and processing capabilities, enabling real-time analysis without substantial upfront investments in infrastructure.

As enterprises grapple with data silos and information overload, text analytics emerges as a strategic asset, enabling predictive modeling and trend forecasting that drive competitive advantage. The market's expansion is further fueled by the need for sentiment analysis, entity recognition, and topic modeling, which uncover hidden patterns and correlations within unstructured datasets. In finance, for instance, analyzing news articles and regulatory filings through text analytics mitigates risks and identifies investment opportunities. The convergence of big data technologies with text analytics solutions underscores a shift towards data-driven cultures, where insights derived from unstructured sources inform everything from supply chain optimization to customer relationship management.

This driver not only accelerates adoption but also spurs innovation in tool development, with vendors enhancing capabilities to handle multilingual and multimodal data. Ultimately, the relentless increase in unstructured data volume propels the Text Analytics Market forward, positioning it as an indispensable component of modern business intelligence frameworks, ensuring resilience and agility in an information-saturated world.

According to IBM, unstructured datasets comprise 90% of all enterprise-generated data, driven by the emergence of big data from connected technologies. This volume is growing exponentially, with large organizations producing four times as much unstructured data as structured data annually. Edge Delta reports that unstructured data grows at an annual rate of 55% to 65%, fueled by AI trends, while 95% of businesses acknowledge risks in managing it. IBM further notes that by 2025, semi-structured and unstructured data will represent up to 80% of the world's information, highlighting the urgent need for analytics to derive value from this massive influx. These figures underscore how the sheer scale and velocity of unstructured data creation are key catalysts for market expansion, prompting investments in tools that process hundreds of millions of pages efficiently.

Key Market Challenges

Data Privacy and Security Concerns

One of the foremost challenges confronting the Text Analytics Market is ensuring robust data privacy and security. As organizations increasingly collect and analyze unstructured textual data from diverse sources such as social media, customer reviews, emails, and internal communications, the volume of sensitive information being processed rises significantly. This data often contains personally identifiable information, financial details, or proprietary business insights, making it a prime target for cyberattacks, data breaches, and unauthorized access. Text analytics solutions rely on centralized platforms, cloud storage, or on-premise infrastructure, each carrying inherent security risks that could compromise the integrity and confidentiality of data.

Regulatory compliance further complicates the landscape, as stringent data protection laws such as the General Data Protection Regulation in Europe, the California Consumer Privacy Act in the United States, and emerging privacy regulations in Asia-Pacific require companies to implement strict governance frameworks, audit trails, and access controls. Non-compliance can result in substantial financial penalties, reputational damage, and operational disruptions. Moreover, organizations deploying third-party analytics platforms face additional challenges, as these vendors must adhere to the same privacy standards and demonstrate robust security protocols. The complexity increases when text analytics is integrated with artificial intelligence and machine learning algorithms, which necessitate large datasets to train models, raising concerns regarding the secure handling of sensitive information during processing.

Enterprises must invest heavily in encryption, anonymization, and tokenization techniques, along with comprehensive cybersecurity measures to mitigate risks. Ensuring secure data transmission between endpoints, monitoring for potential vulnerabilities, and maintaining compliance with evolving regulations across multiple jurisdictions requires continuous investment and expertise. These privacy and security concerns can slow adoption rates, particularly among industries dealing with highly sensitive data such as banking, healthcare, and government services. Consequently, the Text Analytics Market must address these challenges through a combination of advanced security solutions, regulatory alignment, and best practices in data governance to maintain stakeholder trust and support sustainable market growth.

Key Market Challenges

Data Privacy and Security Concerns

One of the foremost challenges confronting the Text Analytics Market is ensuring robust data privacy and security. As organizations increasingly collect and analyze unstructured textual data from diverse sources such as social media, customer reviews, emails, and internal communications, the volume of sensitive information being processed rises significantly. This data often contains personally identifiable information, financial details, or proprietary business insights, making it a prime target for cyberattacks, data breaches, and unauthorized access. Text analytics solutions rely on centralized platforms, cloud storage, or on-premise infrastructure, each carrying inherent security risks that could compromise the integrity and confidentiality of data.

Regulatory compliance further complicates the landscape, as stringent data protection laws such as the General Data Protection Regulation in Europe, the California Consumer Privacy Act in the United States, and emerging privacy regulations in Asia-Pacific require companies to implement strict governance frameworks, audit trails, and access controls. Non-compliance can result in substantial financial penalties, reputational damage, and operational disruptions. Moreover, organizations deploying third-party analytics platforms face additional challenges, as these vendors must adhere to the same privacy standards and demonstrate robust security protocols. The complexity increases when text analytics is integrated with artificial intelligence and machine learning algorithms, which necessitate large datasets to train models, raising concerns regarding the secure handling of sensitive information during processing.

Enterprises must invest heavily in encryption, anonymization, and tokenization techniques, along with comprehensive cybersecurity measures to mitigate risks. Ensuring secure data transmission between endpoints, monitoring for potential vulnerabilities, and maintaining compliance with evolving regulations across multiple jurisdictions requires continuous investment and expertise. These privacy and security concerns can slow adoption rates, particularly among industries dealing with highly sensitive data such as banking, healthcare, and government services. Consequently, the Text Analytics Market must address these challenges through a combination of advanced security solutions, regulatory alignment, and best practices in data governance to maintain stakeholder trust and support sustainable market growth.

Key Market Players

• IBM Corporation
• Microsoft Corporation
• SAS Institute Inc.
• SAP SE
• Oracle Corporation
• Lexalytics, Inc.
• Clarabridge, Inc.
• Amazon Web Services, Inc.
• Google LLC
• Adobe Systems Incorporated

Report Scope:

In this report, the Global Text Analytics Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Text Analytics Market, By Analytics Type:

• Sentiment Analysis
• Entity Recognition
• Keyword/Concept Extraction
• Text Categorization
• Predictive Analysis

Text Analytics Market, By Application:

• Customer Experience Management
• Risk & Compliance Management
• Human Resource Management
• Market Intelligence
• Others

Text Analytics Market, By End User:

• Banking, Financial Services, and Insurance
• Retail and E-commerce
• Healthcare and Life Sciences
• Information Technology and Telecommunications
• Manufacturing
• Government and Public Sector
• Others

Text Analytics Market, By Region:

• North America
  • United States
  • Canada
  • Mexico
• Europe
  • Germany
  • France
  • United Kingdom
  • Italy
  • Spain
• South America
  • Brazil
  • Argentina
  • Colombia
• Asia-Pacific
  • China
  • India
  • Japan
  • South Korea
  • Australia
• Middle East & Africa
  • Saudi Arabia
  • UAE
  • South Africa

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global Text Analytics Market.

Available Customizations:

Global Text Analytics Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

• Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1. Product Overview

• 1.1. Market Definition
• 1.2. Scope of the Market
  • 1.2.1. Markets Covered
  • 1.2.2. Years Considered for Study
  • 1.2.3. Key Market Segmentations

2. Research Methodology

• 2.1. Objective of the Study
• 2.2. Baseline Methodology
• 2.3. Key Industry Partners
• 2.4. Major Association and Secondary Sources
• 2.5. Forecasting Methodology
• 2.6. Data Triangulation & Validation
• 2.7. Assumptions and Limitations

3. Executive Summary

• 3.1. Overview of the Market
• 3.2. Overview of Key Market Segmentations
• 3.3. Overview of Key Market Players
• 3.4. Overview of Key Regions/Countries
• 3.5. Overview of Market Drivers, Challenges, and Trends

4. Voice of Customer

5. Global Text Analytics Market Outlook

• 5.1. Market Size & Forecast
  • 5.1.1. By Value
• 5.2. Market Share & Forecast
  • 5.2.1. By Analytics Type (Sentiment Analysis, Entity Recognition, Keyword/Concept Extraction, Text Categorization, Predictive Analysis)
  • 5.2.2. By Application (Customer Experience Management, Risk & Compliance Management, Human Resource Management, Market Intelligence, Others)
  • 5.2.3. By End User (Banking, Financial Services, and Insurance, Retail and E-commerce, Healthcare and Life Sciences, Information Technology and Telecommunications, Manufacturing, Government and Public Sector, Others)
  • 5.2.4. By Region (North America, Europe, South America, Middle East & Africa, Asia Pacific)
• 5.3. By Company (2024)
• 5.4. Market Map

6. North America Text Analytics Market Outlook

• 6.1. Market Size & Forecast
  • 6.1.1. By Value
• 6.2. Market Share & Forecast
  • 6.2.1. By Analytics Type
  • 6.2.2. By Application
  • 6.2.3. By End User
  • 6.2.4. By Country
• 6.3. North America: Country Analysis
  • 6.3.1. United States Text Analytics Market Outlook
    • 6.3.1.1. Market Size & Forecast
      • 6.3.1.1.1. By Value
    • 6.3.1.2. Market Share & Forecast
      • 6.3.1.2.1. By Analytics Type
      • 6.3.1.2.2. By Application
      • 6.3.1.2.3. By End User
  • 6.3.2. Canada Text Analytics Market Outlook
    • 6.3.2.1. Market Size & Forecast
      • 6.3.2.1.1. By Value
    • 6.3.2.2. Market Share & Forecast
      • 6.3.2.2.1. By Analytics Type
      • 6.3.2.2.2. By Application
      • 6.3.2.2.3. By End User
  • 6.3.3. Mexico Text Analytics Market Outlook
    • 6.3.3.1. Market Size & Forecast
      • 6.3.3.1.1. By Value
    • 6.3.3.2. Market Share & Forecast
      • 6.3.3.2.1. By Analytics Type
      • 6.3.3.2.2. By Application
      • 6.3.3.2.3. By End User

7. Europe Text Analytics Market Outlook

• 7.1. Market Size & Forecast
  • 7.1.1. By Value
• 7.2. Market Share & Forecast
  • 7.2.1. By Analytics Type
  • 7.2.2. By Application
  • 7.2.3. By End User
  • 7.2.4. By Country
• 7.3. Europe: Country Analysis
  • 7.3.1. Germany Text Analytics Market Outlook
    • 7.3.1.1. Market Size & Forecast
      • 7.3.1.1.1. By Value
    • 7.3.1.2. Market Share & Forecast
      • 7.3.1.2.1. By Analytics Type
      • 7.3.1.2.2. By Application
      • 7.3.1.2.3. By End User
  • 7.3.2. France Text Analytics Market Outlook
    • 7.3.2.1. Market Size & Forecast
      • 7.3.2.1.1. By Value
    • 7.3.2.2. Market Share & Forecast
      • 7.3.2.2.1. By Analytics Type
      • 7.3.2.2.2. By Application
      • 7.3.2.2.3. By End User
  • 7.3.3. United Kingdom Text Analytics Market Outlook
    • 7.3.3.1. Market Size & Forecast
      • 7.3.3.1.1. By Value
    • 7.3.3.2. Market Share & Forecast
      • 7.3.3.2.1. By Analytics Type
      • 7.3.3.2.2. By Application
      • 7.3.3.2.3. By End User
  • 7.3.4. Italy Text Analytics Market Outlook
    • 7.3.4.1. Market Size & Forecast
      • 7.3.4.1.1. By Value
    • 7.3.4.2. Market Share & Forecast
      • 7.3.4.2.1. By Analytics Type
      • 7.3.4.2.2. By Application
      • 7.3.4.2.3. By End User
  • 7.3.5. Spain Text Analytics Market Outlook
    • 7.3.5.1. Market Size & Forecast
      • 7.3.5.1.1. By Value
    • 7.3.5.2. Market Share & Forecast
      • 7.3.5.2.1. By Analytics Type
      • 7.3.5.2.2. By Application
      • 7.3.5.2.3. By End User

8. Asia Pacific Text Analytics Market Outlook

• 8.1. Market Size & Forecast
  • 8.1.1. By Value
• 8.2. Market Share & Forecast
  • 8.2.1. By Analytics Type
  • 8.2.2. By Application
  • 8.2.3. By End User
  • 8.2.4. By Country
• 8.3. Asia Pacific: Country Analysis
  • 8.3.1. China Text Analytics Market Outlook
    • 8.3.1.1. Market Size & Forecast
      • 8.3.1.1.1. By Value
    • 8.3.1.2. Market Share & Forecast
      • 8.3.1.2.1. By Analytics Type
      • 8.3.1.2.2. By Application
      • 8.3.1.2.3. By End User
  • 8.3.2. India Text Analytics Market Outlook
    • 8.3.2.1. Market Size & Forecast
      • 8.3.2.1.1. By Value
    • 8.3.2.2. Market Share & Forecast
      • 8.3.2.2.1. By Analytics Type
      • 8.3.2.2.2. By Application
      • 8.3.2.2.3. By End User
  • 8.3.3. Japan Text Analytics Market Outlook
    • 8.3.3.1. Market Size & Forecast
      • 8.3.3.1.1. By Value
    • 8.3.3.2. Market Share & Forecast
      • 8.3.3.2.1. By Analytics Type
      • 8.3.3.2.2. By Application
      • 8.3.3.2.3. By End User
  • 8.3.4. South Korea Text Analytics Market Outlook
    • 8.3.4.1. Market Size & Forecast
      • 8.3.4.1.1. By Value
    • 8.3.4.2. Market Share & Forecast
      • 8.3.4.2.1. By Analytics Type
      • 8.3.4.2.2. By Application
      • 8.3.4.2.3. By End User
  • 8.3.5. Australia Text Analytics Market Outlook
    • 8.3.5.1. Market Size & Forecast
      • 8.3.5.1.1. By Value
    • 8.3.5.2. Market Share & Forecast
      • 8.3.5.2.1. By Analytics Type
      • 8.3.5.2.2. By Application
      • 8.3.5.2.3. By End User

9. Middle East & Africa Text Analytics Market Outlook

• 9.1. Market Size & Forecast
  • 9.1.1. By Value
• 9.2. Market Share & Forecast
  • 9.2.1. By Analytics Type
  • 9.2.2. By Application
  • 9.2.3. By End User
  • 9.2.4. By Country
• 9.3. Middle East & Africa: Country Analysis
  • 9.3.1. Saudi Arabia Text Analytics Market Outlook
    • 9.3.1.1. Market Size & Forecast
      • 9.3.1.1.1. By Value
    • 9.3.1.2. Market Share & Forecast
      • 9.3.1.2.1. By Analytics Type
      • 9.3.1.2.2. By Application
      • 9.3.1.2.3. By End User
  • 9.3.2. UAE Text Analytics Market Outlook
    • 9.3.2.1. Market Size & Forecast
      • 9.3.2.1.1. By Value
    • 9.3.2.2. Market Share & Forecast
      • 9.3.2.2.1. By Analytics Type
      • 9.3.2.2.2. By Application
      • 9.3.2.2.3. By End User
  • 9.3.3. South Africa Text Analytics Market Outlook
    • 9.3.3.1. Market Size & Forecast
      • 9.3.3.1.1. By Value
    • 9.3.3.2. Market Share & Forecast
      • 9.3.3.2.1. By Analytics Type
      • 9.3.3.2.2. By Application
      • 9.3.3.2.3. By End User

10. South America Text Analytics Market Outlook

• 10.1. Market Size & Forecast
  • 10.1.1. By Value
• 10.2. Market Share & Forecast
  • 10.2.1. By Analytics Type
  • 10.2.2. By Application
  • 10.2.3. By End User
  • 10.2.4. By Country
• 10.3. South America: Country Analysis
  • 10.3.1. Brazil Text Analytics Market Outlook
    • 10.3.1.1. Market Size & Forecast
      • 10.3.1.1.1. By Value
    • 10.3.1.2. Market Share & Forecast
      • 10.3.1.2.1. By Analytics Type
      • 10.3.1.2.2. By Application
      • 10.3.1.2.3. By End User
  • 10.3.2. Colombia Text Analytics Market Outlook
    • 10.3.2.1. Market Size & Forecast
      • 10.3.2.1.1. By Value
    • 10.3.2.2. Market Share & Forecast
      • 10.3.2.2.1. By Analytics Type
      • 10.3.2.2.2. By Application
      • 10.3.2.2.3. By End User
  • 10.3.3. Argentina Text Analytics Market Outlook
    • 10.3.3.1. Market Size & Forecast
      • 10.3.3.1.1. By Value
    • 10.3.3.2. Market Share & Forecast
      • 10.3.3.2.1. By Analytics Type
      • 10.3.3.2.2. By Application
      • 10.3.3.2.3. By End User

11. Market Dynamics

• 11.1. Drivers
• 11.2. Challenges

12. Market Trends and Developments

• 12.1. Merger & Acquisition (If Any)
• 12.2. Product Launches (If Any)
• 12.3. Recent Developments

13. Company Profiles

• 13.1. IBM Corporation
  • 13.1.1. Business Overview
  • 13.1.2. Key Revenue and Financials
  • 13.1.3. Recent Developments
  • 13.1.4. Key Personnel
  • 13.1.5. Key Product/Services Offered
• 13.2. Microsoft Corporation
• 13.3. SAS Institute Inc.
• 13.4. SAP SE
• 13.5. Oracle Corporation
• 13.6. Lexalytics, Inc.
• 13.7. Clarabridge, Inc.
• 13.8. Amazon Web Services, Inc.
• 13.9. Google LLC
• 13.10. Adobe Systems Incorporated

14. Strategic Recommendations

15. About Us & Disclaimer