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封面
市场调查报告书
商品编码
1737167

全球文本分析软体市场规模（按产品、应用、地区、范围和预测）

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个工作天内

价格
简介目录

文字分析软体市场规模与预测

文字分析软体市场规模在 2024 年价值 53.8 亿美元，预计到 2032 年将达到 191.4 亿美元，预测期内（2026-2032 年）的复合年增长率为 17.20%。

市场的主要成长动力是社群媒体分析需求的不断增长、预测分析需求的不断增长等。全球文本分析软体市场报告对市场进行了全面的评估，包括关键细分市场、趋势、市场驱动因素、限制因素、竞争格局以及在市场中发挥关键作用的因素。

定义全球文本分析软体市场

文字分析软体，也称为文字分析或文字探勘软体，帮助使用者使用自然语言处理从结构化和非结构化文字资料中获取资料和讯息，其中可能包括关键字词、不同模式、主题、情绪分析、语言和实体。文字分析的数据可以来自各种来源，包括电子邮件、电话记录、客户回馈和评论、问卷等。

文字分析工具能够收集洞察，帮助企业做出正确决策，理解和分析客户和员工的情绪，并改进书面文件。文字分析软体有助于提取最相关、最有用的数据，从而在您的行业中做出更明智的决策，获得竞争优势。它能够分析历史数据、成长趋势以及不断变化的消费者品味和偏好，以预测组织未来的成果和驱动因素。

全球文本分析软体市场概览

在当前情况下，企业之间的竞争日益激烈，每个人都想占据领先地位。文本分析软体从海量数据中为行业提供宝贵的信息，这直接影响着行业的发展，因此文本分析软体的采用率正在上升。社群媒体平台的日益普及也促进了文字分析软体市场的成长。文字分析软体通常用于收集、储存和分析资料或讯息，以便做出更明智的决策。当今世界瞬息万变，市场上每分钟都会推出新技术，出现各种新趋势，因此企业需要做好准备，采取行动，从而推动全球文本分析软体市场的发展。

目录

第一章：全球文本分析软体市场简介

  • 市场概览
  • 研究范围
  • 先决条件

第二章执行摘要

第三章：已验证的市场研究调查方法

  • 资料探勘
  • 验证
  • 第一手资料
  • 资料来源列表

第四章 全球文本分析软体市场展望

  • 概述
  • 市场动态
    • 驱动程式
    • 限制因素
    • 机会
  • 波特五力模型
  • 价值链分析

第五章全球文本分析软体市场（依产品划分）

  • 概述
  • 云端基础
  • 本地

6. 全球文本分析软体市场（按应用）

  • 概述
  • 大公司
  • 小型企业

7. 全球文本分析软体市场（按地区）

  • 概述
  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 法国
    • 其他欧洲国家
  • 亚太地区
    • 中国
    • 日本
    • 印度
    • 其他亚太地区
  • 世界其他地区
    • 拉丁美洲
    • 中东和非洲

第 8 章：全球文本分析软体市场竞争格局

  • 概述
  • 各公司市场排名
  • 主要发展策略

第九章 公司简介

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

第十章 附录

  • 相关调查
简介目录
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