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市場調查報告書
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1841538

文字分析市場 - 全球產業規模、佔有率、趨勢、機會和預測，按分析類型、按應用、按最終用戶、按地區和競爭進行細分，2020-2030 年預測

Text Analytics Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Analytics Type, By Application, By End User, By Region & Competition, 2020-2030F
出版日期: | 出版商: TechSci Research | 英文 185 Pages | 商品交期: 2-3個工作天內

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簡介目錄

2024 年全球文本分析市場價值為 151.7 億美元，預計到 2030 年將達到 513.7 億美元，預測期內複合年成長率為 22.36%。

市場概況
預測期 2026-2030
2024年市場規模 151.7億美元
2030年市場規模 513.7億美元
2025-2030年複合年成長率 22.36%
成長最快的領域 人力資源管理
最大的市場 北美洲

文字分析市場是指專注於從社交媒體、電子郵件、客戶評論、問卷、文件和線上內容等各種來源產生的非結構化文字資料中提取有意義洞察的行業。該市場涵蓋利用自然語言處理、機器學習和人工智慧技術來分析文字、檢測模式、識別趨勢並為組織提供可操作情報的解決方案和服務。透過將非結構化資料轉換為結構化、可分析的格式，文字分析可以幫助企業改善決策、提升客戶體驗、監控品牌聲譽、管理風險並獲得競爭優勢。

由於數位平台產生的資料呈指數級成長，對即時洞察的需求日益成長，以及人工智慧驅動工具在各行各業的廣泛應用，市場正在快速成長。推動市場成長的關鍵應用包括：客戶體驗管理（企業透過分析回饋和情緒來改善產品和服務）；風險與合規管理（監控監管文件和通訊以確保其符合法律框架）；以及市場情報（企業透過分析競爭對手的策略和行業趨勢來做出明智的決策）。此外，雲端運算和軟體即服務模式的普及，使各種規模的企業無需進行大量的基礎設施投資即可獲得可擴展且經濟高效的文本分析解決方案。

企業擴大根據其安全需求、資料量和營運需求部署本地和雲端解決方案，從而推動了整體市場的擴張。從地理上看，北美憑藉其先進的技術基礎設施、早期採用的分析工具以及主要市場參與者的強大影響力佔據主導地位；而亞太地區則正成為一個高成長市場，這得益於快速的數字化轉型、日益成長的網際網路普及率以及政府推行數據驅動戰略的舉措。進階分析與人工智慧、機器學習和預測模型的結合，預計將進一步推動市場發展，使企業不僅能夠了解歷史和當前趨勢，還能預測未來結果。

關鍵市場促進因素

非結構化資料量爆炸性成長

主要市場挑戰

資料隱私和安全問題

主要市場挑戰

資料隱私和安全問題

目錄

第 1 章：產品概述

第2章：研究方法

第3章：執行摘要

第4章：顧客之聲

第5章：全球文本分析市場展望

  • 市場規模和預測
    • 按價值
  • 市場佔有率和預測
    • 依分析類型（情緒分析、實體辨識、關鍵字/概念擷取、文字分類、預測分析）
    • 按應用（客戶體驗管理、風險與合規管理、人力資源管理、市場情報、其他）
    • 按最終用戶（銀行、金融服務和保險、零售和電子商務、醫​​療保健和生命科學、資訊技術和電信、製造業、政府和公共部門、其他）
    • 按地區（北美、歐洲、南美、中東和非洲、亞太地區）
  • 按公司分類（2024 年）
  • 市場地圖

第6章：北美文本分析市場展望

  • 市場規模和預測
  • 市場佔有率和預測
  • 北美：國家分析
    • 美國
    • 加拿大
    • 墨西哥

第7章：歐洲文本分析市場展望

  • 市場規模和預測
  • 市場佔有率和預測
  • 歐洲：國家分析
    • 德國
    • 法國
    • 英國
    • 義大利
    • 西班牙

第8章：亞太文本分析市場展望

  • 市場規模和預測
  • 市場佔有率和預測
  • 亞太地區：國家分析
    • 中國
    • 印度
    • 日本
    • 韓國
    • 澳洲

第9章：中東與非洲文本分析市場展望

  • 市場規模和預測
  • 市場佔有率和預測
  • 中東和非洲：國家分析
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 南非

第 10 章：南美洲文本分析市場展望

  • 市場規模和預測
  • 市場佔有率和預測
  • 南美洲：國家分析
    • 巴西
    • 哥倫比亞
    • 阿根廷

第 11 章：市場動態

  • 驅動程式
  • 挑戰

第 12 章：市場趨勢與發展

  • 合併與收購（如有）
  • 產品發布（如有）
  • 最新動態

第13章：公司簡介

  • 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：策略建議

第15章調查會社について,免責事項

簡介目錄
Product Code: 30791

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.

Market Overview
Forecast Period2026-2030
Market Size 2024USD 15.17 Billion
Market Size 2030USD 51.37 Billion
CAGR 2025-203022.36%
Fastest Growing SegmentHuman Resource Management
Largest MarketNorth America

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