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市場調查報告書
商品編碼
1737167

全球文本分析軟體市場規模(按產品、應用、地區、範圍和預測)

Global Text Analysis Software Market Size By Product (Clouds-Based, On-Premise), By Application (Large Enterprises, SMEs), By Geographic Scope And Forecast

出版日期: | 出版商: Verified Market Research | 英文 202 Pages | 商品交期: 2-3個工作天內

價格
簡介目錄

文字分析軟體市場規模與預測

文字分析軟體市場規模在 2024 年價值 53.8 億美元,預計到 2032 年將達到 191.4 億美元,預測期內(2026-2032 年)的複合年成長率為 17.20%。

市場的主要成長動力是社群媒體分析需求的不斷成長、預測分析需求的不斷成長等。全球文本分析軟體市場報告對市場進行了全面的評估,包括關鍵細分市場、趨勢、市場促進因素、限制因素、競爭格局以及在市場中發揮關鍵作用的因素。

定義全球文本分析軟體市場

文字分析軟體,也稱為文字分析或文字探勘軟體,幫助使用者使用自然語言處理從結構化和非結構化文字資料中獲取資料和訊息,其中可能包括關鍵字詞、不同模式、主題、情緒分析、語言和實體。文字分析的數據可以來自各種來源,包括電子郵件、電話記錄、客戶回饋和評論、問卷等。

文字分析工具能夠收集洞察,幫助企業做出正確決策,理解和分析客戶和員工的情緒,並改進書面文件。文字分析軟體有助於提取最相關、最有用的數據,從而在您的行業中做出更明智的決策,獲得競爭優勢。它能夠分析歷史數據、成長趨勢以及不斷變化的消費者品味和偏好,以預測組織未來的成果和促進因素。

全球文本分析軟體市場概覽

在當前情況下,企業之間的競爭日益激烈,每個人都想佔據領先地位。文本分析軟體從海量數據中為行業提供寶貴的資訊,這直接影響著行業的發展,因此文本分析軟體的採用率正在上升。社群媒體平台的日益普及也促進了文字分析軟體市場的成長。文字分析軟體通常用於收集、儲存和分析資料或訊息,以便做出更明智的決策。當今世界瞬息萬變,市場上每分鐘都會推出新技術,出現各種新趨勢,因此企業需要做好準備,採取行動,從而推動全球文本分析軟體市場的發展。

目錄

第1章:全球文本分析軟體市場簡介

  • 市場概覽
  • 研究範圍
  • 先決條件

第2章執行摘要

第3章:已驗證的市場研究調查方法

  • 資料探勘
  • 驗證
  • 第一手資料
  • 資料來源列表

第4章 全球文本分析軟體市場展望

  • 概述
  • 市場動態
    • 驅動程式
    • 限制因素
    • 機會
  • 波特五力模型
  • 價值鏈分析

第5章全球文本分析軟體市場(依產品分類)

  • 概述
  • 雲端基礎
  • 本地

6. 全球文本分析軟體市場(按應用)

  • 概述
  • 主要企業
  • 小型企業

7. 全球文本分析軟體市場(按地區)

  • 概述
  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 法國
    • 其他歐洲國家
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 其他亞太地區
  • 世界其他地區
    • 拉丁美洲
    • 中東和非洲

第 8 章:全球文本分析軟體市場競爭格局

  • 概述
  • 各公司市場排名
  • 主要發展策略

第9章 公司簡介

  • SAP
  • Microsoft
  • IBM
  • QSR International
  • Google
  • Saylnt
  • Amazon
  • MonkeyLearn
  • SAS
  • Lexalytics

第10章 附錄

  • 相關調查
簡介目錄
Product Code: 54669

Text Analysis Software Market Size And Forecast

Text Analysis Software Market size was valued at USD 5.38 Billion in 2024 and is projected to reach USD 19.14 Billion by 2032, growing at a CAGR of 17.20% during the forecast period 2026-2032.

The major growth drivers of the market include the growing need for social media analytics and the increased need for predictive Analytics. The Global Text Analysis Software Market report provides a holistic evaluation of the market. The report offers a comprehensive analysis of key segments, trends, drivers, restraints, competitive landscape, and factors that are playing a substantial role in the market.

Global Text Analysis Software Market Definition

Text analysis software is also known as text analytics or text mining software which helps the user in gaining the data or information from structured and unstructured text data using Natural language processing and these data include key phrases, different patterns, and themes, sentiment analysis, languages, and entities. The data for text analysis can be taken from various sources such as emails, phone transcripts, customer feedbacks and reviews, surveys, etc.

which help the Text analysis tools to gather insight and help the business to take the right decision, understand and analyze the customer/employee sentiment and improve the written document. Text analysis software helps in extracting the most relevant and useful data for making better decision-making in industries to gain a competitive advantage. For predicting future outcomes, it analyzes historical data, growing trends, and changes in consumers' tastes and preferences which is a driving factor for organizations.

Global Text Analysis Software Market Overview

In the current scenario, competition amongst organizations is increasing day by day, and for that everyone wants to be on the top. And this is where the text analysis software takes place which provides valuable information to industries from a large pool of data which directly affects the industry's growth and due to this adoption of Text Analysis Software is increasing. An increase in the adoption of social media platforms also helps in the growth of the Text Analysis Software Market growth. It is generally used to collect, store and analyze data or information to make better decisions because today world is dynamic and every minute new technology is introduced in the market, several new trends come into the market, and for this businesses have to be ready for taking action ad this will lead to driving the market of Global Text Analysis Software Market.

Global Text Analysis Software Market Segmentation Analysis

The Global Text Analysis Software Market is Segmented on the basis of Product, Application, And Geography.

Text Analysis Software Market, By Product

  • Clouds-Based
  • On-Premise

Based on Product, the market is bifurcated into Clouds-Based, and On-Premise. Clouds-Based is leading the market and holds up to 64% off market share in the global industry. The advancement in Technologies, cloud-based software no days off a big data analytic and allow real-time which is the growth segment.

Text Analysis Software Market, By Application

  • Large Enterprises
  • SMEs

Based on Application, the market bifurcated into Large Enterprises and SMEs. Large Enterprises segment is leading the market due to its implication driven by Awareness of basic principles off location Analytics and interest towards Technology. Increase in the adoption of location Analytics software and service mainly in large Enterprises. Covid-19 pandemic has nurtured the SMEs segment as the pandemic has disrupted traditional methods and shifted towards digitization and Technology-driven processes.

Text Analysis Software Market, By Geography

  • North America
  • Europe
  • Asia Pacific
  • Rest of The World
  • On the basis of Geography, the Global Text Analysis Software Market is classified into North America, Europe, Asia Pacific, and the Rest of the world. North America region is dominating the market and holds the largest market size. Asia-pacific is expected to grow at the highest CAGR during the forecast period. The growth rate can be attributed to the growing Technological investment income, which is driving demand for text analytics solutions use for automating the maintenance and plant safety process.

Key Players

The "Global Text Analysis Software Market," study report will provide valuable insight with an emphasis on the global market, including some of the major players such as Microsoft, IBM, QSR International, Google, SayInt, Amazon, MonkeyLearn, SAP, SAS, Lexalytics and many more.

Our market analysis also entails a section solely dedicated to such major players wherein our analysts provide an insight into the financial statements of all the major players, along with its product benchmarking and SWOT analysis. The competitive landscape section also includes key development strategies, market share, and market ranking analysis of the above-mentioned players globally.

TABLE OF CONTENTS

1 INTRODUCTION OF GLOBAL TEXT ANALYSIS SOFTWARE MARKET

  • 1.1 Overview of the Market
  • 1.2 Scope of Report
  • 1.3 Assumptions

2 EXECUTIVE SUMMARY

3 RESEARCH METHODOLOGY OF VERIFIED MARKET RESEARCH

  • 3.1 Data Mining
  • 3.2 Validation
  • 3.3 Primary Interviews
  • 3.4 List of Data Sources

4 GLOBAL TEXT ANALYSIS SOFTWARE MARKET, OUTLOOK

  • 4.1 Overview
  • 4.2 Market Dynamics
    • 4.2.1 Drivers
    • 4.2.2 Restraints
    • 4.2.3 Opportunities
  • 4.3 Porters Five Force Model
  • 4.4 Value Chain Analysis

5 GLOBAL TEXT ANALYSIS SOFTWARE MARKET, BY PRODUCT

  • 5.1 Overview
  • 5.2 Clouds-Based
  • 5.3 On-Premise

6 GLOBAL TEXT ANALYSIS SOFTWARE MARKET, BY APPLICATION

  • 6.1 Overview
  • 6.2 Large Companies
  • 6.3 SMEs

7 GLOBAL TEXT ANALYSIS SOFTWARE MARKET, BY GEOGRAPHY

  • 7.1 Overview
  • 7.2 North America
    • 7.2.1 U.S.
    • 7.2.2 Canada
    • 7.2.3 Mexico
  • 7.3 Europe
    • 7.3.1 Germany
    • 7.3.2 U.K.
    • 7.3.3 France
    • 7.3.4 Rest of Europe
  • 7.4 Asia Pacific
    • 7.4.1 China
    • 7.4.2 Japan
    • 7.4.3 India
    • 7.4.4 Rest of Asia Pacific
  • 7.5 Rest of the World
    • 7.5.1 Latin America
    • 7.5.2 Middle East And Africa

8 GLOBAL TEXT ANALYSIS SOFTWARE MARKET, BY COMPETITIVE LANDSCAPE

  • 8.1 Overview
  • 8.2 Company Market Ranking
  • 8.3 Key Development Strategies

9 COMPANY PROFILES

  • 9.1 SAP
    • 9.1.1 Overview
    • 9.1.2 Financial Performance
    • 9.1.3 Product Outlook
    • 9.1.4 Key Developments
  • 9.2 Microsoft
    • 9.2.1 Overview
    • 9.2.2 Financial Performance
    • 9.2.3 Product Outlook
    • 9.2.4 Key Developments
  • 9.3 IBM
    • 9.3.1 Overview
    • 9.3.2 Financial Performance
    • 9.3.3 Product Outlook
    • 9.3.4 Key Developments
  • 9.4 QSR International
    • 9.4.1 Overview
    • 9.4.2 Financial Performance
    • 9.4.3 Product Outlook
    • 9.4.4 Key Developments
  • 9.5 Google
    • 9.5.1 Overview
    • 9.5.2 Financial Performance
    • 9.5.3 Product Outlook
    • 9.5.4 Key Developments
  • 9.6 Saylnt
    • 9.6.1 Overview
    • 9.6.2 Financial Performance
    • 9.6.3 Product Outlook
    • 9.6.4 Key Developments
  • 9.7 Amazon
    • 9.7.1 Overview
    • 9.7.2 Financial Performance
    • 9.7.3 Product Outlook
    • 9.7.4 Key Developments
  • 9.8 MonkeyLearn
    • 9.8.1 Overview
    • 9.8.2 Financial Performance
    • 9.8.3 Product Outlook
    • 9.8.4 Key Developments
  • 9.9 SAS
    • 9.9.1 Overview
    • 9.9.2 Financial Performance
    • 9.9.3 Product Outlook
    • 9.9.4 Key Developments
  • 9.10 Lexalytics
    • 9.10.1 Overview
    • 9.10.2 Financial Performance
    • 9.10.3 Product Outlook
    • 9.10.4 Key Developments

10 Appendix

  • 10.1 Related Research